{"id":10697,"date":"2021-03-20T15:51:44","date_gmt":"2021-03-20T08:51:44","guid":{"rendered":"https:\/\/stei.itb.ac.id\/?page_id=10697"},"modified":"2026-08-19T14:19:19","modified_gmt":"2026-08-19T07:19:19","slug":"magister-informatika","status":"publish","type":"page","link":"https:\/\/stei.itb.ac.id\/en\/program-pasca-sarjana\/magister-informatika\/","title":{"rendered":"Master Program in  Informatics"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid ai-master-page vc_custom_1787123949859\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">            <div class=\"menu-scroll\">\n                <div class=\"menu-scroll-left\" id=\"nav-scroll\">\n                    <nav>\n                        <ul class=\"nav\">\n                                                    <li>\n                                <a href=\"#peo\">\n                                    <span>About the Study Program<\/span>\n                                <\/a>\n                            <\/li>\n                                                    <li>\n                                <a href=\"#cpl\">\n                                    <span>Program Objectives<\/span>\n                                <\/a>\n                            <\/li>\n                                                    <li>\n                                <a href=\"#kurikulum\">\n                                    <span>Graduate Outcomes of the Study Program<\/span>\n                                <\/a>\n                            <\/li>\n                                                    <li>\n                                <a href=\"#spesialisasi\">\n                                    <span>Options or Preferred Paths<\/span>\n                                <\/a>\n                            <\/li>\n                                                    <li>\n                                <a href=\"#minor\">\n                                    <span>Curriculum Structure<\/span>\n                                <\/a>\n                            <\/li>\n                                                    <li>\n                                <a href=\"#prospek\">\n                                    <span>Registration and Selection of New Students<\/span>\n                                <\/a>\n                            <\/li>\n                                                    <li>\n                                <a href=\"#syarat\">\n                                    <span>PPSM<\/span>\n                                <\/a>\n                            <\/li>\n                                                    <li>\n                                <a href=\"#dual\">\n                                    <span>Dual Degree Program<\/span>\n                                <\/a>\n                            <\/li>\n                                                    <li>\n                                <a href=\"#profil\">\n                                    <span>Graduate Profile<\/span>\n                                <\/a>\n                            <\/li>\n                                                    <li>\n                                <a href=\"#form\">\n                                    <span>Administration Form<\/span>\n                                <\/a>\n                            <\/li>\n                                                    <li>\n                                <a href=\"#kontak\">\n                                    <span>Contact<\/span>\n                                <\/a>\n                            <\/li>\n                                                <\/ul>\n                    <\/nav>\n                <\/div>\n                <div class=\"menu-scroll-content\" id=\"nav-content\">\n                    <h3 style=\"color: #111111;text-align: left;font-family:Abril Fatface;font-weight:400;font-style:normal\" class=\"vc_custom_heading vc_do_custom_heading vc_custom_1768869348368\" id=\"peo\">About the Study Program<\/h3><div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_border_width_2 vc_sep_pos_align_left vc_separator_no_text vc_sep_color_grey vc_custom_1764737656011 wpb_content_element  vc_custom_1764737656011 wpb_content_element\" ><span class=\"vc_sep_holder vc_sep_holder_l\"><span class=\"vc_sep_line\"><\/span><\/span><span class=\"vc_sep_holder vc_sep_holder_r\"><span class=\"vc_sep_line\"><\/span><\/span>\n<\/div>\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1769068079545\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p>The Master of Informatics study program aims to equip its graduates with critical, innovative, and professional thinking skills to compete globally in the field of Informatics, as well as to develop research-based knowledge and technology for the field of Informatics. The scientific fields of the Master of Informatics study program include the basic scientific fields of computing (Fundamentals of Computing) and scientific fields according to their options. There are eight options, namely Computer Science (CS), Software Engineering (SE), Media and Mobile Technology (MMT), Data Science (DS), Artificial Intelligence (AI), Cyber \u200b\u200bSecurity (CSec), Information Systems (IS), and Information Technology (IT). The types of programs in the Master of Informatics study program consist of: Regular, By Research\/Project, Executive and Multidisciplinary<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<h3 style=\"color: #111111;text-align: left;font-family:Abril Fatface;font-weight:400;font-style:normal\" class=\"vc_custom_heading vc_do_custom_heading vc_custom_1768869355522\" id=\"cpl\">Program Objectives<\/h3><div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_border_width_2 vc_sep_pos_align_left vc_separator_no_text vc_sep_color_grey vc_custom_1764737656011 wpb_content_element  vc_custom_1764737656011 wpb_content_element\" ><span class=\"vc_sep_holder vc_sep_holder_l\"><span class=\"vc_sep_line\"><\/span><\/span><span class=\"vc_sep_holder vc_sep_holder_r\"><span class=\"vc_sep_line\"><\/span><\/span>\n<\/div>\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1776136437292\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"ai-program\">\n<p>The Master of Informatics Study Program aims to produce Master of Informatics graduates who have the following abilities in the early stages of their careers (3\u20135 years since graduation), namely:<\/p>\n<ul class=\"custom-bullet\">\n<li>Our graduates will have critical thinking, innovative, and professional aspects to compete globally in the field of informatics.<\/li>\n<li>Our graduates will successfully pursue advanced study or engage in professional development.<\/li>\n<li>Our graduates will have managerial capabilities in research in the field of informatics.<\/li>\n<\/ul>\n<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<h3 style=\"color: #111111;text-align: left;font-family:Abril Fatface;font-weight:400;font-style:normal\" class=\"vc_custom_heading vc_do_custom_heading vc_custom_1768869364484\" id=\"kurikulum\">Graduate Outcomes of the Study Program<\/h3><div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_border_width_2 vc_sep_pos_align_left vc_separator_no_text vc_sep_color_grey vc_custom_1764737656011 wpb_content_element  vc_custom_1764737656011 wpb_content_element\" ><span class=\"vc_sep_holder vc_sep_holder_l\"><span class=\"vc_sep_line\"><\/span><\/span><span class=\"vc_sep_holder vc_sep_holder_r\"><span class=\"vc_sep_line\"><\/span><\/span>\n<\/div>\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1776136446758\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"ai-program\">\n<p>The learning outcomes of the Master of Informatics Study Program when students are declared graduates are:<\/p>\n<ul class=\"custom-bullet\">\n<li>Students will be able to analyze problems in the field of Informatics or other fields of science to identify computing-based solutions.<\/li>\n<li>Students will be able to design and build computing-based solutions through an interdisciplinary or multidisciplinary approach<\/li>\n<li>Students will be able to evaluate computing-based solutions that fulfill the requirements through an interdisciplinary or multidisciplinary approach.<\/li>\n<li>Students are able to develop research-based knowledge and technology for the field of Informatics, by engineering and developing specific scientific fields, including:\n<ol class=\"detail-list\" style=\"list-style-type: lower-alpha;\">\n<li>algorithms or computational theories that are capable of solving current and actual problems (CS elective path), or<\/li>\n<li>development of large-scale, reliable, innovative, and maintainable software products (SEI elective track), or<\/li>\n<li>Information Systems governance at the enterprise level to maximize the system's potential and minimize its risks using Information Technology resources efficiently (IS preferred path), or<\/li>\n<li>analysis, modeling, design, construction, and development of information technology-based systems (IT elective path), or<\/li>\n<li>concepts, technologies, and applications of artificial intelligence, including appropriate tools for effective and efficient AI solutions (IntS elective path), or<\/li>\n<li>concepts, architecture, and technology of media and mobile devices, as well as the development of media and mobile device applications using human-computer interaction principles and good and appropriate software engineering methodologies (MMT elective path), or<\/li>\n<li>cloud computing concepts, architecture, technology, and applications in providing scalable and high-performance computing solutions for business and scientific needs (CC elective path), or<\/li>\n<li>management, processing, and interpretation of large and complex datasets for the extraction of important information and knowledge (DSAI elective track), or<\/li>\n<li>development, operation, and testing of cyber security systems (CSec elective track).<\/li>\n<\/ol>\n<\/li>\n<li>Students will be able to communicate effectively in diverse professional and academic contexts.<\/li>\n<li>Students are able to function effectively in team activities that are appropriate to their field of study.<\/li>\n<\/ul>\n<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<h3 style=\"color: #111111;text-align: left;font-family:Abril Fatface;font-weight:400;font-style:normal\" class=\"vc_custom_heading vc_do_custom_heading vc_custom_1768883800776\" id=\"spesialisasi\">Options or Preferred Paths<\/h3><div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_border_width_2 vc_sep_pos_align_left vc_separator_no_text vc_sep_color_grey vc_custom_1764737656011 wpb_content_element  vc_custom_1764737656011 wpb_content_element\" ><span class=\"vc_sep_holder vc_sep_holder_l\"><span class=\"vc_sep_line\"><\/span><\/span><span class=\"vc_sep_holder vc_sep_holder_r\"><span class=\"vc_sep_line\"><\/span><\/span>\n<\/div>\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p>There are 8 (eight) tracks, as follows Computer Science (CS), Software Engineering (SE), Media and Mobile Technology (MMT), Data Science (DS), Cyber Security (CSec), Artificial Intelligence (AI), Information System (IS), and Information Technology (IT).<a href=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/MagisterInformatika-en-Kurikulun.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-24340\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/MagisterInformatika-en-Kurikulun.jpg\" alt=\"\" width=\"560\" height=\"186\" \/><\/a><\/p>\n<p>The curriculum of the Master Program in Informatics, comprising a total of 54 credits, is divided into 3 semesters with a maximum load of 18 credits per semester, following the composition below. For the multidisciplinary program scheme and the Double Degree program scheme, the curriculum is structured over 4 semesters.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1775723020430\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<ol>\n<li>Ilmu Komputer (Computer Science)<\/li>\n<li>Rekayasa Perangkat Lunak (Software Engineering)<\/li>\n<li>Media and Mobile Device Technology<\/li>\n<li>Sains Data (Data Science)<\/li>\n<li>Keamanan Siber (Cybersecurity)<\/li>\n<li>Inteligensi Artifisial (Artificial Intelligence)<\/li>\n<li>Information Systems<\/li>\n<li>Information Technology<\/li>\n<\/ol>\n\n\t\t<\/div>\n\t<\/div>\n<h3 style=\"color: #111111;text-align: left;font-family:Abril Fatface;font-weight:400;font-style:normal\" class=\"vc_custom_heading vc_do_custom_heading vc_custom_1768813208255\" id=\"minor\">Curriculum Structure<\/h3><div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_border_width_2 vc_sep_pos_align_left vc_separator_no_text vc_sep_color_grey vc_custom_1764737656011 wpb_content_element  vc_custom_1764737656011 wpb_content_element\" ><span class=\"vc_sep_holder vc_sep_holder_l\"><span class=\"vc_sep_line\"><\/span><\/span><span class=\"vc_sep_holder vc_sep_holder_r\"><span class=\"vc_sep_line\"><\/span><\/span>\n<\/div>\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1776137851053\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"ai-program\">\n<p>The Master of Informatics Study Program curriculum, with a total of 54 credits, is divided into three semesters with a maximum load of 18 credits per semester, with the composition below. For the multidisciplinary program scheme and the program scheme <em>.<\/em>, the curriculum is structured into 4 semesters.<\/p>\n<ul class=\"custom-bullet\">\n<li>ITB Required: 7 credits<\/li>\n<li>Study Program Requirement: 12 credits of structured courses + 12 credits of Thesis<\/li>\n<li>Wajib opsi: 12\u201319 sks<\/li>\n<li>Pilihan: 4\u201311 sks<\/li>\n<\/ul>\n<p style=\"text-align: center;\"><a href=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/OpsiIF.jpg\" target=\"_blank\" rel=\"noopener\"><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-24341\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/OpsiIF.jpg\" alt=\"Struktur opsi Magister Informatika\" width=\"560\" height=\"408\" \/><br \/>\n<\/a><\/p>\n<p class=\"section-title\">Struktur 3 Semester<\/p>\n<p>The study period is scheduled for 3\u20134 semesters. The course structure for the Master of Informatics program is as follows: Students take 18 credits per semester.<\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/WaktuStudiIF.jpg\" target=\"_blank\" rel=\"noopener\"><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-24342\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/WaktuStudiIF.jpg\" alt=\"Struktur studi 3 semester Magister Informatika\" width=\"560\" height=\"459\" \/><br \/>\n<\/a><\/p>\n<table class=\"cur-table\">\n<thead>\n<tr>\n<th>No<\/th>\n<th>Code<\/th>\n<th>Course<\/th>\n<th>Credits<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>IF5001<\/td>\n<td>\n<details>\n<summary>Research Methodology<\/summary>\n<ol class=\"detail-list\">\n<li>Nature and purpose of the research, and elements of research methodology.<\/li>\n<li>Determination of research topics, identification and formulation of problems, novelty and\/or innovative value of research.<\/li>\n<li><em>Research question<\/em>, hypothesis determination, research design.<\/li>\n<li>Experimental design, the concept of independent variables and dependent variables, or other data acquisition methods according to the nature of the science.<\/li>\n<li><em>Sampling<\/em>, <em>sample<\/em>, <em>sampling error<\/em>, <em>sample size<\/em>, characteristics of a good sample, and practical considerations in sampling.<\/li>\n<li>Data processing, analysis, discussion, and conclusions.<\/li>\n<li>Penyusunan laporan ilmiah.<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>WI7001<\/td>\n<td>\n<details>\n<summary>Digital Literacy and Academic Ethics<\/summary>\n<ol class=\"detail-list\">\n<li>Digital concepts, models and strategies for communication, search and digital collaboration effectively and positively.<\/li>\n<li>Pemanfaatan digital tools.<\/li>\n<li>Principles of data literacy, artificial intelligence, machine learning, and deep learning.<\/li>\n<li>Utilization of AI for research and scientific writing.<\/li>\n<li>Academic integrity and ethics.<\/li>\n<li>Integrity and ethics in scientific research, projects and publications.<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>2<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>IF5100<\/td>\n<td>\n<details>\n<summary>Programming for Data Analytics<\/summary>\n<ol class=\"detail-list\">\n<li><em>Programming fundamental<\/em> and data structures.<\/li>\n<li>Pemrograman berorientasi objek.<\/li>\n<li>Kompleksitas algoritma.<\/li>\n<li>Strategi algoritma \/ <em>computational problem solving techniques<\/em>.<\/li>\n<li>Eksplorasi data.<\/li>\n<li>Pengantar <em>Machine Learning<\/em>.<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>IF5101<\/td>\n<td>\n<details>\n<summary>Data Management<\/summary>\n<ol class=\"detail-list\">\n<li>General principles and concepts of data management and organization.<\/li>\n<li>Data management system.<\/li>\n<li>Manajemen infrastruktur <em>enterprise data<\/em>.<\/li>\n<li><em>Data governance<\/em>.<\/li>\n<li><em>Large-scale data storage<\/em>.<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>IF5002<\/td>\n<td>\n<details>\n<summary>Proposal Preparation<\/summary>\n<ol class=\"detail-list\">\n<li>Determination of research topics, identification and formulation of problems, novelty and\/or innovative value of research.<\/li>\n<li><em>Research question<\/em>, hypothesis determination, research design.<\/li>\n<li>Development of research problem solving methods.<\/li>\n<li>Penyusunan laporan ilmiah.<\/li>\n<li>Presentasi ilmiah.<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>2<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>IF5091<\/td>\n<td>\n<details>\n<summary>Thesis 1<\/summary>\n<ol class=\"detail-list\">\n<li>Application and development of research problem solving methods.<\/li>\n<li>Academic communication.<\/li>\n<li>Penyusunan laporan ilmiah.<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>4<\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>IF5200<\/td>\n<td>\n<details>\n<summary>Applied Research Project<\/summary>\n<ol class=\"detail-list\">\n<li><em>Basic Research Skills in Computing Science<\/em>.<\/li>\n<li><em>Software delivery<\/em>, mencakup: <em>software development lifecycle<\/em>, <em>Agile methodologies<\/em>. <em>best practices for efficient delivery<\/em> (including CI\/CD).<\/li>\n<li><em>Project Management<\/em>.<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>2<\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>IF6098<\/td>\n<td>\n<details>\n<summary>Thesis 2<\/summary>\n<ol class=\"detail-list\">\n<li>Application and development of research problem solving methods.<\/li>\n<li>Academic communication.<\/li>\n<li>Penyusunan laporan ilmiah.<\/li>\n<li>Presentasi ilmiah.<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>6<\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>IF6099<\/td>\n<td>\n<details>\n<summary>Master's Session<\/summary>\n<ol class=\"detail-list\">\n<li>Research success.<\/li>\n<li>Penyusunan laporan ilmiah.<\/li>\n<li>Presentasi ilmiah.<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p class=\"section-title\">Structure 4 Semester<\/p>\n<p>The Structure of the Master of Informatics Study Program in the following 4 semesters. Students take 11\u201316 credits per semester.<\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/WaktuStudiIF-1.jpg\" target=\"_blank\" rel=\"noopener\"><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-24378\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/WaktuStudiIF-1.jpg\" alt=\"Struktur studi 4 semester Magister Informatika\" width=\"560\" height=\"424\" \/><br \/>\n<\/a><\/p>\n<p class=\"section-title\">Research-Based Master's Path<\/p>\n<p>Specifically for the Research-based Master's track, the course composition is arranged according to the following structure, and the curriculum is designed over 4 semesters.<\/p>\n<ul class=\"custom-bullet\">\n<li>ITB Required: 7 credits<\/li>\n<li>Compulsory Study Program: 12 credits of structured courses + 16 credits of Thesis<\/li>\n<li>Optional: 19 credits<\/li>\n<\/ul>\n<p>The Course Structure of the Master of Informatics Study Program for the Research-based Master's path is as follows.<\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/WaktuStudiIF-2.jpg\" target=\"_blank\" rel=\"noopener\"><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-24379\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/WaktuStudiIF-2.jpg\" alt=\"Struktur jalur Magister berbasis Riset\" width=\"561\" height=\"399\" \/><br \/>\n<\/a><\/p>\n<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"vc_tta-container\" data-vc-action=\"collapse\"><p>Compulsory Courses<\/p><div class=\"vc_general vc_tta vc_tta-tabs vc_tta-color-grey vc_tta-style-classic vc_tta-shape-rounded vc_tta-spacing-1 vc_tta-tabs-position-top vc_tta-controls-align-left\"><div class=\"vc_tta-tabs-container\"><ul class=\"vc_tta-tabs-list\" role=\"tablist\"><li class=\"vc_tta-tab vc_active\" data-vc-tab role=\"presentation\"><a href=\"#1769044445823-9e4dff4d-98b3\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1769044445823-9e4dff4d-98b3\"><span class=\"vc_tta-title-text\">Computer Science (CS)<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1769044445953-cc3bea41-4fa0\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1769044445953-cc3bea41-4fa0\"><span class=\"vc_tta-title-text\">Software Engineering (SE)<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1769044446087-caaab06b-906b\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1769044446087-caaab06b-906b\"><span class=\"vc_tta-title-text\">Media Technology and Mobile Devices<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1769044568808-3a93e714-2cc1\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1769044568808-3a93e714-2cc1\"><span class=\"vc_tta-title-text\">Artificial Intelligence<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1769044446232-5ab54b2c-1fa3\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1769044446232-5ab54b2c-1fa3\"><span class=\"vc_tta-title-text\">Data Science<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1769044581520-e78858d2-2896\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1769044581520-e78858d2-2896\"><span class=\"vc_tta-title-text\">Cyber \u200b\u200bSecurity<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1769044592815-e0ed3bb5-c7da\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1769044592815-e0ed3bb5-c7da\"><span class=\"vc_tta-title-text\">Information Systems (IS)<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1769044606617-8b0a2c05-499e\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1769044606617-8b0a2c05-499e\"><span class=\"vc_tta-title-text\">Information Technology<\/span><\/a><\/li><\/ul><\/div><div class=\"vc_tta-panels-container\"><div class=\"vc_tta-panels\"><div class=\"vc_tta-panel vc_active\" id=\"1769044445823-9e4dff4d-98b3\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><p class=\"vc_tta-panel-title\"><a href=\"#1769044445823-9e4dff4d-98b3\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Computer Science (CS)<\/span><\/a><\/p><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1769132465453\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%;\" cellpadding=\"5\">\n<thead>\n<tr>\n<th style=\"width: 4%;\">No<\/th>\n<th style=\"width: 9%;\">Code<\/th>\n<th style=\"width: 78%;\">Course<\/th>\n<th style=\"width: 6%;\">Credits<\/th>\n<th style=\"width: 3%;\">P<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>IF5110<\/td>\n<td>\n<details>\n<summary>Algorithm Design<\/summary>\n<ol>\n<li>Review basic concepts of algorithms: time complexity, data structures, heaps &amp; disjoint sets data structures<\/li>\n<li>Techniques based on recursion: induction, divide &amp; conquer, dynamic programming<\/li>\n<li>First cut techniques: greedy, graph traversal<\/li>\n<li>Complexity of problems: NP-complete problems, computational complexity, lower bounds<\/li>\n<li>Coping with hardness: backtracking, randomized algorithms, approximation algorithm<\/li>\n<li>Iterative improvement for domain-specific problems: network flow, matching<\/li>\n<li>Techniques in Computational Geometry: Geometric sweeping,Voronoi diagrams<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>IF5111<\/td>\n<td>\n<details>\n<summary>Mathematics for Computer Science<\/summary>\n<ol>\n<li>Proofs<\/li>\n<li>Structures<\/li>\n<li>Counting<\/li>\n<li>Statistics and Probability<\/li>\n<li>Recurrences<\/li>\n<li>Algorithm complexity<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>IF5210<\/td>\n<td>\n<details>\n<summary>Compiler Design<\/summary>\n<ol>\n<li>Lexical analysis<\/li>\n<li>Syntax analysis<\/li>\n<li>Scopes and symbol tables<\/li>\n<li>Interpretation<\/li>\n<li>Type checking<\/li>\n<li>Intermediate code generation<\/li>\n<li>Machine code generation<\/li>\n<li>Register allocation<\/li>\n<li>Functions<\/li>\n<li>Data flow analysis and optimisation<\/li>\n<li>Optimisation for loops<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>IF5112<\/td>\n<td>\n<details>\n<summary>Advanced Distributed Systems<\/summary>\n<ol>\n<li>Distributed system model<\/li>\n<li>Failure detectors<\/li>\n<li>reliable delivery<\/li>\n<li>atomic &amp; reliable broadcast<\/li>\n<li>shared memory model<\/li>\n<li>consensus<\/li>\n<li>Distributed commitment protocol &amp; atomic transactions<\/li>\n<li>Group membership<\/li>\n<li>View synchrony<\/li>\n<li>Cloud computing &amp; virtualization<\/li>\n<li>Distributed ledger &amp; blockchain<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1769044445953-cc3bea41-4fa0\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><p class=\"vc_tta-panel-title\"><a href=\"#1769044445953-cc3bea41-4fa0\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Software Engineering (SE)<\/span><\/a><\/p><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%;\" cellpadding=\"5\">\n<thead>\n<tr>\n<th style=\"width: 4%;\">No<\/th>\n<th style=\"width: 9%;\">Code<\/th>\n<th style=\"width: 78%;\">Course<\/th>\n<th style=\"width: 6%;\">Credits<\/th>\n<th style=\"width: 3%;\">P<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>IF5120<\/td>\n<td>\n<details>\n<summary>Software Requirement Engineering<\/summary>\n<ol>\n<li>Fundamentals of software requirements<\/li>\n<li>Requirements engineering process<\/li>\n<li>Requirements elicitation<\/li>\n<li>Requirements analysis<\/li>\n<li>Requirements specification<\/li>\n<li>Requirements validation<\/li>\n<li>Practical considerations<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>IF5121<\/td>\n<td>\n<details>\n<summary>Software Design<\/summary>\n<ol>\n<li>Fundamentals of software design<\/li>\n<li>Software architecture<\/li>\n<li>Design patterns<\/li>\n<li>User interface design<\/li>\n<li>Analysis and evaluation of software design quality<\/li>\n<li>Software design notations<\/li>\n<li>Software design strategies and methods<\/li>\n<li>Software design tools<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>IF5220<\/td>\n<td>\n<details>\n<summary>Software Quality<\/summary>\n<ol>\n<li>Fundamentals of software quality<\/li>\n<li>Software quality management process<\/li>\n<li>Practical considerations<\/li>\n<li>Software quality tools<\/li>\n<li>Fundamentals of software testing<\/li>\n<li>Levels of testing<\/li>\n<li>Testing techniques<\/li>\n<li>Testing-related metrics<\/li>\n<li>Testing process<\/li>\n<li>Software testing tools<\/li>\n<li>Specification languages<\/li>\n<li>Program refinement and derivation<\/li>\n<li>Verifikasi Formal<\/li>\n<li>Logical inference<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>IF5221<\/td>\n<td>\n<details>\n<summary>Software Product Innovation<\/summary>\n<ol>\n<li>Introduction to software product innovation<\/li>\n<li>Topic and problem identification<\/li>\n<li>Market needs identification and analysis<\/li>\n<li>System requirements identification and analysis<\/li>\n<li>Requirements modeling<\/li>\n<li>Software product and quality planning<\/li>\n<li>Commercialization planning<\/li>\n<li>Proposal presentation<\/li>\n<li>Software product development implementation<\/li>\n<li>Presentation and demo<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>1<\/td>\n<td>3<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>IF6120<\/td>\n<td>\n<details>\n<summary>Software Evolution<\/summary>\n<ol>\n<li>SCM process management<\/li>\n<li>Software configuration identification<\/li>\n<li>Software configuration control<\/li>\n<li>Software configuration status<\/li>\n<li>Software configuration audit<\/li>\n<li>Software release management and delivery<\/li>\n<li>SCM tools<\/li>\n<li>Fundamentals of software maintenance<\/li>\n<li>Issues in software maintenance<\/li>\n<li>Software maintenance process<\/li>\n<li>Software maintenance techniques<\/li>\n<li>Software maintenance tools<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1769044446087-caaab06b-906b\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><p class=\"vc_tta-panel-title\"><a href=\"#1769044446087-caaab06b-906b\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Media Technology and Mobile Devices<\/span><\/a><\/p><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%;\" cellpadding=\"5\">\n<thead>\n<tr>\n<th style=\"width: 4%;\">No<\/th>\n<th style=\"width: 9%;\">Code<\/th>\n<th style=\"width: 78%;\">Course<\/th>\n<th style=\"width: 6%;\">Credits<\/th>\n<th style=\"width: 3%;\">P<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>IF5130<\/td>\n<td>\n<details>\n<summary>Software Engineering for Game Domain<\/summary>\n<ol>\n<li>Software engineering for the game domain<\/li>\n<li>Game design<\/li>\n<li>Game engine architecture<\/li>\n<li>Game testing<\/li>\n<li>Game analytics<\/li>\n<li>Ethics in game development<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>IF5131<\/td>\n<td>\n<details>\n<summary>Multimedia Data Processing and Management<\/summary>\n<ol>\n<li>Introduction to multimedia data and applications<\/li>\n<li>Review of signal processing (Discrete Fourier Transform and Fast Fourier Transform)<\/li>\n<li>Review of multimedia data representation<\/li>\n<li>Automated analysis of multimedia data (preprocessing, feature extraction, recognition, and similarity retrieval)<\/li>\n<li>Multimedia data management and indexing methods<\/li>\n<li>Case studies of multimedia data-based applications<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>IF5230<\/td>\n<td>\n<details>\n<summary>Mobile Technology and Application<\/summary>\n<ol>\n<li>Introduction to mobile devices<\/li>\n<li>Activities in mobile application development (requirements analysis, design principles and patterns, user interface (UI) design, technology implementation, testing, and quality)<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>IF6130<\/td>\n<td>\n<details>\n<summary>Interactive Media Technology &amp; Application<\/summary>\n<ol>\n<li>Introduction to interactive media<\/li>\n<li>Introduction to games (concepts, design, process)<\/li>\n<li>Gameplay<\/li>\n<li>Game production<\/li>\n<li>The art of game design<\/li>\n<li>Game implementation<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1769044568808-3a93e714-2cc1\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><p class=\"vc_tta-panel-title\"><a href=\"#1769044568808-3a93e714-2cc1\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Artificial Intelligence<\/span><\/a><\/p><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%;\" cellpadding=\"5\">\n<thead>\n<tr>\n<th style=\"width: 4%;\">No<\/th>\n<th style=\"width: 9%;\">Code<\/th>\n<th style=\"width: 78%;\">Course<\/th>\n<th style=\"width: 6%;\">Credits<\/th>\n<th style=\"width: 3%;\">P<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>IF5150<\/td>\n<td>\n<details>\n<summary>Advanced Artificial Intelligence<\/summary>\n<ol>\n<li>Introduction and History of AI - Topics: Introduction to AI and its historical development, Basic concepts of AI<\/li>\n<li>Intelligent Agent - Topics: Concepts and architecture of intelligent agents, Implementation of intelligent agents<\/li>\n<li>Decision Making - Topics: Decision-making techniques in AI, Decision-making models<\/li>\n<li>Heuristic Algorithms - Topics: Concepts and applications of heuristic algorithms, Heuristic search techniques<\/li>\n<li>Descriptive, Propositional, and Predicate Logic - Topics: Descriptive, propositional, and predicate logic, Applications of logic in AI<\/li>\n<li>Answer Set and Ontology - Topics: Concepts of answer set, Ontology and its applications in AI<\/li>\n<li>Linked Data, Semantic Web, and Probabilistic Networks - Topics: Linked data and the semantic web, Bayesian networks and Markov decision networks<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>IF5151<\/td>\n<td>\n<details>\n<summary>Mathematics for Artificial Intelligence<\/summary>\n<ol>\n<li>Introduction to Mathematics for Machine Learning<\/li>\n<li>Linear Algebra<\/li>\n<li>Calculus<\/li>\n<li>Statistics and Probability<\/li>\n<li>Optimization Methods<\/li>\n<li>Applied Mathematics for Machine Learning<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>IF5250<\/td>\n<td>\n<details>\n<summary>Deep Learning<\/summary>\n<ol>\n<li>Introduction to Deep Learning<\/li>\n<li>Fundamentals of Neural Networks<\/li>\n<li>Convolutional Neural Networks (CNN)<\/li>\n<li>Recurrent Neural Networks (RNN) and LSTM<\/li>\n<li>Optimization and Regularization Techniques<\/li>\n<li>Deep Learning Applications<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>1<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>IF5251<\/td>\n<td>\n<details>\n<summary>Artificial Intelligence in Production<\/summary>\n<ol>\n<li>Introduction to AI in Production \u2013 Challenges and considerations in deploying AI to production, Overview of MLOps and the model development lifecycle, Differences between development and production environments<\/li>\n<li>Data Management \u2013 Data collection, labeling, and storage, Data processing and feature engineering, Data versioning and lineage<\/li>\n<li>Model Development and Training \u2013 Algorithm and model architecture selection, Experimentation and model tracking, Distributed training and hardware acceleration<\/li>\n<li>Model Evaluation and Validation \u2013 Evaluation metrics and cross-validation, Error analysis and model interpretability, Data testing and validation<\/li>\n<li>Model Deployment \u2013 Deployment strategies (shadow, canary, blue-green), Containerization and orchestration, Scaling and performance optimization<\/li>\n<li>Model Monitoring and Supervision \u2013 Monitoring metrics and dashboards, Anomaly and data drift detection, Monitoring data integrity and model quality<\/li>\n<li>Security and Privacy \u2013 Adversarial attacks and defenses, Data encryption and anonymization, Security audits and compliance<\/li>\n<li>Ethical and Legal Considerations \u2013 Bias and fairness in AI, Transparency and accountability, Regulations and industry standards<\/li>\n<li>Case Studies and Industrial Applications \u2013 Case studies of AI implementation across industries, Best practices and lessons learned, Trends and future directions<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>IIF6150<\/td>\n<td>\n<details>\n<summary>Trustworthy Artificial Intelligence<\/summary>\n<ol>\n<li>Introduction to Trustworthy AI \u2013 Topics: Introduction to the concept of Trustworthy AI, The importance of transparency, fairness, and robustness in AI<\/li>\n<li>Explainable AI (X-AI) \u2013 Concepts and Methods \u2013 Topics: Basic concepts of explainable AI, Methods for AI model interpretability<\/li>\n<li>Interpretability and Explanation Evaluation \u2013 Topics: Techniques for interpretability evaluation, Case studies on explainable AI applications<\/li>\n<li>Fairness in AI \u2013 Concepts and Challenges \u2013 Topics: Concepts of fairness in AI, Challenges in detecting and mitigating bias<\/li>\n<li>Techniques for Fairness in AI \u2013 Topics: Techniques for detecting bias, Methods for mitigating bias in AI models<\/li>\n<li>Robustness in AI \u2013 Concepts and Methods \u2013 Topics: Concepts of robustness in AI, Techniques to improve model robustness<\/li>\n<li>Ethical and Legal Considerations in AI \u2013 Topics: Ethical considerations in AI development, Legal implications of fairness and robustness in AI<\/li>\n<li>Final Project and Presentation \u2013 Topics: Implementation of innovative projects in Trustworthy AI, Project documentation and presentation, Evaluation and discussion of project results<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>IF6151<\/td>\n<td>\n<details>\n<summary>Artificial Intelligence Individual Project<\/summary>\n<ol>\n<li>Current topics in Artificial Intelligence issues<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1769044446232-5ab54b2c-1fa3\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><p class=\"vc_tta-panel-title\"><a href=\"#1769044446232-5ab54b2c-1fa3\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Data Science<\/span><\/a><\/p><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%;\" cellpadding=\"5\">\n<thead>\n<tr>\n<th style=\"width: 4%;\">No<\/th>\n<th style=\"width: 9%;\">Code<\/th>\n<th style=\"width: 78%;\">Course<\/th>\n<th style=\"width: 6%;\">Credits<\/th>\n<th style=\"width: 3%;\">P<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>IF5140<\/td>\n<td>\n<details>\n<summary>Machine Learning<\/summary>\n<ol>\n<li>Introduction to Machine Learning<\/li>\n<li>Supervised Learning<\/li>\n<li>Neural Networks<\/li>\n<li>Learning Theory<\/li>\n<li>Unsupervised Learning<\/li>\n<li>Reinforcement Learning<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>2<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>IF5141<\/td>\n<td>\n<details>\n<summary>Data Mining<\/summary>\n<ol>\n<li>Process models for data mining (CRISP-DM)<\/li>\n<li>Basic concepts of data, statistics, and data visualization; measurement; and data pre-processing<\/li>\n<li>Basic techniques in pattern mining for frequent patterns, associations, and correlations<\/li>\n<li>Recall: Classification and cluster analysis using machine learning techniques<\/li>\n<li>Overview of advanced machine learning techniques for various types of data<\/li>\n<li>Data mining model evaluation<\/li>\n<li>Deployment of data mining models<\/li>\n<li>Case study on building a machine learning model for a specific problem\/organization: business understanding, data understanding, data preparation, model building, model evaluation, deployment<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>1<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>IF5240<\/td>\n<td>\n<details>\n<summary>Business Intelligence and Analytics<\/summary>\n<ol>\n<li>Fundamental concepts of business intelligence and business analytics: data, statistical models, decision-making, and decision support systems<\/li>\n<li>Management and operations of business analytics: business processes and operations, planning and control, requirements analysis and design, solution evaluation<\/li>\n<li>Data warehousing: concepts of data warehousing, data integration, data warehouse development, business analytics using data warehouses, data visualization<\/li>\n<li>Data warehouse technologies: platforms and tools for data warehousing, data integration, reporting, and visualization<\/li>\n<li>Business analytics using data mining techniques<\/li>\n<li>Case study on system development using a business intelligence approach and utilizing business analytics<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>1<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>IF5241<\/td>\n<td>\n<details>\n<summary>Big Data System<\/summary>\n<ol>\n<li>Fundamental concepts of big data<\/li>\n<li>Big data infrastructure and technologies: big data technology stack, cloud computing, large-scale storage and file systems, NoSQL databases, data processing models: batch, streaming, and parallel<\/li>\n<li>Organization and management of big data systems: big data algorithms for large-scale data processing, data preprocessing algorithms, data ingestion and visualization, management and operation of big data systems<\/li>\n<li>Big data system development for data science: platforms and tools for big data analytics, design and development of big data systems and cloud-based systems, operation and management of big data and cloud services, and their relation to enterprise information systems<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>IF6097<\/td>\n<td>\n<details>\n<summary>Industrial Internship<\/summary>\n<ol>\n<li>Method implementation<\/li>\n<li>Scientific report writing<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1769044581520-e78858d2-2896\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><p class=\"vc_tta-panel-title\"><a href=\"#1769044581520-e78858d2-2896\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Cyber \u200b\u200bSecurity<\/span><\/a><\/p><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%;\" cellpadding=\"5\">\n<thead>\n<tr>\n<th style=\"width: 4%;\">No<\/th>\n<th style=\"width: 9%;\">Code<\/th>\n<th style=\"width: 78%;\">Course<\/th>\n<th style=\"width: 6%;\">Credits<\/th>\n<th style=\"width: 3%;\">P<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>IF5161<\/td>\n<td>\n<details>\n<summary>Data and Software Security<\/summary>\n<ol>\n<li>Overview on Traffic, Vulnerability and Malware Analysis<\/li>\n<li>Access Control Enhancement to deal with malicious and buggy software<\/li>\n<li>Usable Integrity Protection<\/li>\n<li>User Authentication<\/li>\n<li>Virtual Private Databases<\/li>\n<li>Overview of Public-Key Cryptography<\/li>\n<li>Preventing SQL Injection Attacks<\/li>\n<li>Vulnerability Assessment and Management<\/li>\n<li>Code Inspection for Finding Security Vulnerabilities and Exposures<\/li>\n<li>Architectural Risk Analysis<\/li>\n<li>Penetration Testing, Concolic Testing<\/li>\n<li>Risk-Based Security Testing and Verification<\/li>\n<li>Withstanding adversarial tactics and techniques<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>IF6160<\/td>\n<td>\n<details>\n<summary>System Security &amp; Privacy<\/summary>\n<ol>\n<li>Cybersecurity and privacy regulations<\/li>\n<li>Security Building Block<\/li>\n<li>Cyber-Physical System Engineering<\/li>\n<li>Management &amp; Incident<\/li>\n<li>Legal Issues &amp; Ethics<\/li>\n<li>Malware<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>IF5260<\/td>\n<td>\n<details>\n<summary>Digital Forensics<\/summary>\n<ol>\n<li>Introduction to Digital Forensics<\/li>\n<li>Computer crime and Legal issues<\/li>\n<li>Digital forensic tools<\/li>\n<li>Investigatory process<\/li>\n<li>Analysis of evidence<\/li>\n<li>Presentation of results<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>IF5160<\/td>\n<td>\n<details>\n<summary>Cybersecurity Operations<\/summary>\n<ol>\n<li>Security concepts in organizations<\/li>\n<li>Network security<\/li>\n<li>Security operations<\/li>\n<li>Threat hunting<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>IF6161<\/td>\n<td>\n<details>\n<summary>Cybersecurity Individual Project<\/summary>\n<ol>\n<li>Current topics in cybersecurity issues<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1769044592815-e0ed3bb5-c7da\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><p class=\"vc_tta-panel-title\"><a href=\"#1769044592815-e0ed3bb5-c7da\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Information Systems (IS)<\/span><\/a><\/p><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%;\" cellpadding=\"5\">\n<thead>\n<tr>\n<th style=\"width: 4%;\">No<\/th>\n<th style=\"width: 9%;\">Code<\/th>\n<th style=\"width: 78%;\">Course<\/th>\n<th style=\"width: 6%;\">Credits<\/th>\n<th style=\"width: 3%;\">P<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>IF5170<\/td>\n<td>\n<details>\n<summary>Digital Strategy<\/summary>\n<ol>\n<li>Strategic thinking<\/li>\n<li>Predicting the direction of IT development<\/li>\n<li>Information technology adoption<\/li>\n<li>Change management and policy development<\/li>\n<li>Management and governance<\/li>\n<li>IT governance model<\/li>\n<li>Maturity and capability maturity models<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>IF5171<\/td>\n<td>\n<details>\n<summary>System Thinking<\/summary>\n<ol>\n<li>Philosophy of systems<\/li>\n<li>Basic principles of systems<\/li>\n<li>Sociocultural systems<\/li>\n<li>Development<\/li>\n<li>Systems methodology<\/li>\n<li>Operational thinking<\/li>\n<li>Design thinking<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>IF5270<\/td>\n<td>\n<details>\n<summary>Applied Artificial Intelligence for Enterprise<\/summary>\n<ol>\n<li>Artificial Intelligence<\/li>\n<li>Business Value of AI<\/li>\n<li>Leveraging Business Value Chain<\/li>\n<li>Development Methodology: CRISP-DM<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>1<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>IF5271<\/td>\n<td>\n<details>\n<summary>Information System Sustainability<\/summary>\n<ol>\n<li>Sustainability concepts<\/li>\n<li>Regulations<\/li>\n<li>Green in OS<\/li>\n<li>Green by IS<\/li>\n<li>Product longevity<\/li>\n<li>Data center Design<\/li>\n<li>Software Optimization<\/li>\n<li>Power Management<\/li>\n<li>Material Recycling<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>IF6170<\/td>\n<td>\n<details>\n<summary>Data Governance<\/summary>\n<ol>\n<li>Information and the role of data for organizations<\/li>\n<li>Data principles<\/li>\n<li>Data policies and procedures<\/li>\n<li>Data organizational structure<\/li>\n<li>Data privacy<\/li>\n<li>Data sharing<\/li>\n<li>Data Protection<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1769044606617-8b0a2c05-499e\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><p class=\"vc_tta-panel-title\"><a href=\"#1769044606617-8b0a2c05-499e\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Information Technology<\/span><\/a><\/p><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%;\" cellpadding=\"5\">\n<thead>\n<tr>\n<th style=\"width: 4%;\">No<\/th>\n<th style=\"width: 9%;\">Code<\/th>\n<th style=\"width: 78%;\">Course<\/th>\n<th style=\"width: 6%;\">Credits<\/th>\n<th style=\"width: 3%;\">P<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>IF5180<\/td>\n<td>\n<details>\n<summary>Digital Twin Technology<\/summary>\n<ol>\n<li>Digital Twin Concept<\/li>\n<li>Digital Twin Framework<\/li>\n<li>Data Acquisition &amp; Capturing<\/li>\n<li>Data Processing &amp; Analytics<\/li>\n<li>Modelling &amp; Simulation<\/li>\n<li>Data Visualization<\/li>\n<li>User Interaction<\/li>\n<li>Digital Twin Development<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>IF5181<\/td>\n<td>\n<details>\n<summary>Information Technology Platform<\/summary>\n<ol>\n<li>Fundamental concepts and key components of Information Technology platforms<\/li>\n<li>Business needs analysis and methods for selecting appropriate IT platforms<\/li>\n<li>System integration<\/li>\n<li>Security and scalability<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>IF5280<\/td>\n<td>\n<details>\n<summary>Digital Security, Privacy, and Forensics<\/summary>\n<ol>\n<li>Reference models and principles of digital security<\/li>\n<li>Digital security vulnerabilities<\/li>\n<li>Digital threats and attacks<\/li>\n<li>Defensive and offensive digital security engineering<\/li>\n<li>Digital privacy requirements and regulations<\/li>\n<li>Implementation of digital privacy compliance<\/li>\n<li>Reactive digital forensics<\/li>\n<li>Proactive digital forensics<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>IF6180<\/td>\n<td>\n<details>\n<summary>Digital Transformation and Enterprise Architecture<\/summary>\n<ol>\n<li>Basic Concepts and Relationship between Digital Transformation, Enterprise Architecture (EA), and Smart System<\/li>\n<li>Digital Transformation and It\u2019s Frameworks<\/li>\n<li>Enterprise Architecture and It\u2019s Frameworks<\/li>\n<li>Design Transformation Strategy and Plan<\/li>\n<li>Aligning Enterprise Architecture with Transformation Plan<\/li>\n<li>Design aligned Enterprise Architecture<\/li>\n<li>Case Studies<\/li>\n<\/ol>\n<\/details>\n<\/td>\n<td>3<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div><h3 style=\"color: #111111;text-align: left;font-family:Abril Fatface;font-weight:400;font-style:normal\" class=\"vc_custom_heading vc_do_custom_heading vc_custom_1769045555389\" id=\"prospek\">Registration and Selection of New Students<\/h3><div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_border_width_2 vc_sep_pos_align_left vc_separator_no_text vc_sep_color_grey vc_custom_1764737656011 wpb_content_element  vc_custom_1764737656011 wpb_content_element\" ><span class=\"vc_sep_holder vc_sep_holder_l\"><span class=\"vc_sep_line\"><\/span><\/span><span class=\"vc_sep_holder vc_sep_holder_r\"><span class=\"vc_sep_line\"><\/span><\/span>\n<\/div>\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1780628984615\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"ai-program ai-admission-selection if-admission-selection\">\n<p class=\"section-title\">General Information<\/p>\n<p>The registration schedule for prospective students of the Master Program in Informatics follows the Graduate Program Admission Schedule of ITB for Semester I of the 2025\/2026 academic year, which can be accessed at: <a href=\"https:\/\/admission.itb.ac.id\/info\/program-magister\/\" target=\"_blank\" rel=\"noopener\">https:\/\/admission.itb.ac.id\/info\/program-magister\/<\/a>.<\/p>\n<p>The Master of Informatics study program for the 2025\/2026 academic year is only open for odd semester registration, and for the opening of the 2026\/2027 academic year, registration information can be accessed around February or March 2026.<\/p>\n<div class=\"ai-selection-info\">\n<h4>Rules and Coverage of the Masters Informatics Selection Test Topics<\/h4>\n<p>Written exam participants must pay attention to the exam rules, implementation schedule, nature of the exam, and the scope of the ITB Informatics Masters Program selection test topics.<\/p>\n<div class=\"selection-grid\">\n<div class=\"selection-card\">\n<h5>Tata Tertib Ujian<\/h5>\n<ul>\n<li>Participants must know their respective examination rooms according to the invitation sent via email.<\/li>\n<li>Participants must wear appropriate clothing and shoes.<\/li>\n<li>Participants must bring original proof of identity, writing materials, and a calculator.<\/li>\n<li>Participants entered the examination room at exactly 12.45 WIB and sat according to their selection number.<\/li>\n<li>Items other than examination equipment must be placed in front of the examination room, communication devices must be turned off, and food is not permitted to be brought into the examination room.<\/li>\n<li>Participants are not allowed to read the exam script before the start signal for the exam is given.<\/li>\n<li>Participants are required to check the completeness of the examination script, fill in their identity, selection number, and sign the answer sheet.<\/li>\n<li>During the exam, participants are not allowed to leave the exam room, borrow each other's writing materials, talk, use unauthorized notes, or cheat.<\/li>\n<li>Violations of the rules may result in the participant's answer file not being assessed.<\/li>\n<\/ul>\n<\/div>\n<div class=\"selection-card\">\n<h5>Cakupan Topik Tes<\/h5>\n<ul>\n<li>Algorithms and Data Structures, including programming, control structures, function calls, and arrays.<\/li>\n<li>Computer Architecture and Operating Systems, covering computer organization and architecture, operating systems, and computer networks.<\/li>\n<li>Discrete Mathematics, Probability, and Statistics, covering propositional logic, combinatorial logic, graphs, algorithmic complexity, and discrete probability distributions.<\/li>\n<li>Database and Data Model, including entity-relationship, relational schema, normalization, and SQL.<\/li>\n<\/ul>\n<\/div>\n<div class=\"selection-card selection-card-wide\">\n<h5>Exam Schedule and Nature<\/h5>\n<div class=\"selection-table-wrap\">\n<table class=\"selection-schedule-table\">\n<thead>\n<tr>\n<th>Jadwal<\/th>\n<th>Mata Ujian<\/th>\n<th>Test<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>12.45-13.00<\/td>\n<td>Persiapan<\/td>\n<td>&#8211;<\/td>\n<\/tr>\n<tr>\n<td>13.00-13.50<\/td>\n<td>Algorithms and Data Structures<\/td>\n<td>Close the book. The programming language you can choose is Pascal, C\/C++, Java, Fortran, or Python.<\/td>\n<\/tr>\n<tr>\n<td>14.00-14.50<\/td>\n<td>Database and Data Model<\/td>\n<td>Open Note, 1 lembar A4, boleh ditulis bolak-balik.<\/td>\n<\/tr>\n<tr>\n<td>15.00-15.50<\/td>\n<td>Computer Systems and Architecture<\/td>\n<td>Tutup buku.<\/td>\n<\/tr>\n<tr>\n<td>16.00-16.50<\/td>\n<td>Discrete Mathematics, Probability, and Statistics<\/td>\n<td>Open Note, 1 A4 sheet, may write back and forth, and may use a physical calculator.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<p class=\"selection-note\">The schedule for the selection exam for Semester I of the 2026\/2027 Academic Year is planned for <strong>Selasa, 7 Juli 2026, pukul 12.45-17.00 WIB<\/strong> at Labtek V (Benny Subianto Building), 2nd Floor, Jalan Ganesha No. 10, Bandung. The room will be as per the information on the invitation.<\/p>\n<p>Complete information regarding the rules, schedule, nature of the exam, topic coverage, and sample questions can be accessed through the following document: <a href=\"https:\/\/docs.google.com\/document\/d\/1l9DYkqYUZ3KNeEzCxzK7q5atCyX3Se11ZJdj13NCBB4\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Tata Tertib Seleksi Ujian Masuk S2 IF 2026<\/a>.<\/p>\n<\/div>\n<p class=\"section-title\">Research-Based Masters Program Selection (MBR)<\/p>\n<p>Specifically for the MBR program of the Master of Informatics Study Program, selection of prospective MBR students is carried out based on documents, written exams, and interviews, namely:<\/p>\n<ol class=\"main-list\">\n<li>Selection based on documents:\n<ul class=\"custom-bullet detail-list\">\n<li>TPA &amp; TOEFL scores follow ITB regulations.<\/li>\n<li>Educational background in Science and Engineering (S1 diploma).<\/li>\n<li>A portfolio listing publications within 5 years, 5 years of research experience, a minimum GPA of 3.0, experience at a research institution, and a curriculum vitae.<\/li>\n<li>Draft research proposal that has been discussed and approved by prospective supervisors from the Informatics Masters Study Program.<\/li>\n<li>Recommended by a prospective supervisor. A prospective supervisor's recommendation contains an assessment based on observations of the prospective student's quality and research track record. Supervisors can recommend students if they have published at least one paper in international conference proceedings, at least one research project in their undergraduate thesis, or have a higher level of research experience.<\/li>\n<\/ul>\n<\/li>\n<li>A written exam specifically assesses basic competency in Informatics. This is the same as the regular pathway. For MBR students, the written exam can be used to confirm their undergraduate degree.<\/li>\n<li>Wawancara, mencakup presentasi draft proposal riset:\n<ul class=\"custom-bullet detail-list\">\n<li>The interview team consists of at least 3 people, namely the head of study program or representative, prospective supervisor, and members of the selection team.<\/li>\n<li>The interview assesses students' readiness to conduct independent research, and determines students' eligibility to take courses independently, especially for compulsory study program courses.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>Prospective students are declared to have passed the MBR selection process if they meet the requirements for passing the regular selection process, namely TPA, TOEFL, Science and Engineering educational background, and a written test, have a draft proposal signed by the prospective supervisor, and are recommended by the prospective supervisor. The supervisor's role in the selection process is very important, especially since recommendations can only be given after evaluating the prospective student's potential based on the portfolio and observations during the discussion of the draft research proposal.<\/p>\n<p>Specifically for PISM students who will take part in the MBR program, there are the following requirements:<\/p>\n<ul class=\"custom-bullet\">\n<li>At the end of semester 7, there is a recommendation from the undergraduate supervisor.<\/li>\n<li>Thesis research topic must be a continuation of the undergraduate research topic.<\/li>\n<li>At least one member of the Master's Thesis supervisory team is part of the Bachelor's TA supervisory team.<\/li>\n<\/ul>\n<p class=\"section-title\">ITB Undergraduate \u2013 Masters Unification Program<\/p>\n<ul class=\"custom-bullet\">\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1XsmI1dVoeoK5ckWKvovEUq_u3axvUDBF\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">PPSM Socialization<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1fXiK6HpktnlxJr27uBHcsPcBfgZM3v6_\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">PPSM Guide<\/a><\/li>\n<\/ul>\n<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<h3 style=\"color: #111111;text-align: left;font-family:Abril Fatface;font-weight:400;font-style:normal\" class=\"vc_custom_heading vc_do_custom_heading vc_custom_1769133309541\" id=\"syarat\">PPSM<\/h3><div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_border_width_2 vc_sep_pos_align_left vc_separator_no_text vc_sep_color_grey vc_custom_1764737656011 wpb_content_element  vc_custom_1764737656011 wpb_content_element\" ><span class=\"vc_sep_holder vc_sep_holder_l\"><span class=\"vc_sep_line\"><\/span><\/span><span class=\"vc_sep_holder vc_sep_holder_r\"><span class=\"vc_sep_line\"><\/span><\/span>\n<\/div>\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1776136675924\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"ai-program\">\n<p>The Bachelor's and Master's Integration Program (PPSM) aims to increase the number of ITB undergraduate students who continue their studies in the Master's Program, with a study period that meets the integration program's target. This is done to achieve one of the indicators targeted in the 2021\u20132025 ITB Strategic Plan, namely a 40% postgraduate student population by 2025.<\/p>\n<p>Berdasarkan pemenuhan kompetensi dasar <em>computing<\/em>there is a general scheme or unification of cognate and non-cognate Bachelor\u2013Master degrees with the Informatics Masters Study Program, which is divided into three categories as follows:<\/p>\n<ol class=\"main-list\">\n<li><strong>Linear<\/strong>, for undergraduate students who have met all basic competencies. Based on the curriculum, undergraduate programs that meet these requirements are those from STEI-K (Informatics Engineering and Information Systems &amp; Technology).<\/li>\n<li><strong>Semi-linear<\/strong>, for undergraduate students who have fulfilled some of the basic competencies. Based on the curriculum, the undergraduate programs that fulfill this requirement are those from STEI-R (Electrical Engineering, Telecommunication Engineering, Biomedical Engineering, Electrical Power Engineering).<\/li>\n<li><strong>Non-linear<\/strong>, for undergraduate students who do not yet have basic competencies. Other study programs outside of STEI can generally be categorized as non-linear, except for those that have basic competencies. <em>computing<\/em>. Evaluation of study programs outside the STEI environment whether they fall into the semi-linear or non-linear category will be carried out on a case-by-case basis when the related undergraduate study program students register for this program.<\/li>\n<\/ol>\n<p class=\"section-title\">Tabel Kompetensi Dasar <em>Computing<\/em><\/p>\n<table class=\"cur-table\">\n<thead>\n<tr>\n<th>Basic competencies<\/th>\n<th>Description<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Programming<\/td>\n<td>\n<ol class=\"detail-list\">\n<li>Students recognize and understand the concepts and basics of data structures.<\/li>\n<li>Students are able to use the available data structure packages.<\/li>\n<li>Mahasiswa mampu mendesain dan mengimplementasi paket struktur data.<\/li>\n<li class=\"translation-block\">Mahasiswa mampu melakukan <em>pemecahan masalah<\/em> (dengan prosedural pemrograman, skala menengah) menggunakan algoritma, struktur data, dan basis data dengan menggunakan API\/library yang tersedia ataupun dengan membangun sendiri perpustakaan.<\/li>\n<\/ol>\n<\/td>\n<\/tr>\n<tr>\n<td>Database<\/td>\n<td>\n<ol class=\"detail-list\">\n<li>Mahasiswa memiliki pemahaman mengenai peran sistem dasar data dalam menyediakan kebutuhan akan informasi.<\/li>\n<li>Students are able to perform small-medium scale data modeling using models <em>entity-relationship<\/em>.<\/li>\n<li>Mahasiswa mampu merancang skema dasar data relasional.<\/li>\n<li>Students are able to implement a database using a relational DBMS.<\/li>\n<li>Students are able to create queries and manipulate data in databases using SQL.<\/li>\n<\/ol>\n<\/td>\n<\/tr>\n<tr>\n<td>Discrete Mathematics<\/td>\n<td>\n<ol class=\"detail-list\">\n<li>Students are able to implement a database using Relational DBMS<\/li>\n<li>Students are able to model problems using discrete mathematics concepts.<\/li>\n<li>Mahasiswa mampu menerapkan metode matematika diskrit dalam bidang komputasi.<\/li>\n<\/ol>\n<\/td>\n<\/tr>\n<tr>\n<td>Computer System<\/td>\n<td>\n<ol class=\"detail-list\">\n<li>Mengetahui perkembangan arsitektur komputer modern.<\/li>\n<li>Understanding the abstraction of computer systems, including computer components, structure and functions.<\/li>\n<li>Understand the representation of numeric and non-numeric data on computers.<\/li>\n<li>Understanding instruction execution on a Von Neumann Machine.<\/li>\n<li>Can identify types of memory technology and principles of memory management.<\/li>\n<li>Can explain the use of interrupts in implementation <em>I\/O control<\/em> and data transfer.<\/li>\n<li>Explains how the operating system manages hardware.<\/li>\n<\/ol>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The course structure for the PPSM Informatics Masters Study Program is as follows.<\/p>\n<p><a href=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/MataKuliah-PPSM-2025.jpg\" target=\"_blank\" rel=\"noopener\"><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-24469\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/MataKuliah-PPSM-2025.jpg\" alt=\"Struktur Mata Kuliah PPSM 2025\" width=\"630\" height=\"449\" \/><br \/>\n<\/a><\/p>\n<p>PPSM students are required to undertake a continuous TA\u2013Thesis, which involves completing a TA in the undergraduate program and a Thesis in the master's program on a continuous topic, thus forming part of the work\/research in the same area. Regarding the categories of PPSM program participants, the rules for implementing a continuous TA\u2013Thesis are defined as follows:<\/p>\n<ol class=\"main-list\">\n<li><strong>Linear<\/strong>: students are required to carry out continuous TA\u2013Thesis with the same topic and supervisor.<\/li>\n<li><strong>Semi-linear<\/strong>Students are advised to undertake a continuous TA\u2013Thesis with a topic that is possibly multidisciplinary in nature with the relevant undergraduate program field and with a supervisory team that can come from the relevant undergraduate program of the student and from the Informatics Masters Program. However, if not, then students are required to undertake a TA with a topic in the field of computing, even though it is not continuous with the thesis topic in the Informatics Masters Program and can be carried out with a different supervisor.<\/li>\n<li><strong>Non-linear<\/strong>students are advised to carry out a continuous TA\u2013Thesis with a topic that is possibly multidisciplinary with the field of the student's undergraduate program and with a supervisory team that can come from the student's undergraduate study program and from the Informatics Master's Study Program. However, if not, then students are advised to take a TA topic in the field of computing, although it is still possible to take another topic outside the field of computing according to the field of their study program, so that it can be carried out with a different supervisor than the thesis.<\/li>\n<\/ol>\n<p>The general design for sustainable TA\u2013Thesis management is as follows.<\/p>\n<ol class=\"main-list\">\n<li><strong>Supervisor requirements:<\/strong> Continuous TA\u2013Thesis is conducted with the same supervisor for both TA and Thesis. The maximum number of supervisors is 2 people, for both TA and Thesis. If there is only 1 supervisor, then the supervisor must be <em>eligible<\/em> as the main supervisor in the undergraduate and Masters Informatics study programs. If there are 2 supervisors, then one of the supervisors must be <em>eligible<\/em> as the main supervisor in the Master of Informatics Study Program and the rules for the order of main and assistant supervisors follow the rules in the undergraduate and Master of Informatics Study Programs. The list of supervisors for the Master of Informatics Study Program can be accessed at <a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1KMApdBzwAf66vavXLvbWtwuFAzf8VQc11YrWlkA3rG8\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">ITB Master of Informatics Thesis Supervisor<\/a>.<\/li>\n<li><strong>Topic requirements:<\/strong>\n<ul class=\"custom-bullet\">\n<li>TA\u2013Thesis topics must be within the scope of the computing field.<\/li>\n<li>TA\u2013Continuing Thesis topics must consider the appropriate level of knowledge and depth and must <strong>can be divided clearly<\/strong> targets for the TA process in undergraduate programs and thesis process targets in master's programs.<\/li>\n<li>The topic of the TA\u2013Continuous Thesis must be in accordance with the student's chosen path in the Informatics Masters Study Program.<\/li>\n<li>TA\u2013Continuing Thesis topics can come from prospective supervisors or from student suggestions. If the proposal comes from the student, it must be consulted with and approved by the supervisor.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Student data collection:<\/strong> Before the 7th semester of the undergraduate student program begins, the PPSM implementation team held a meeting and socialization with all students participating in the PPSM program who were due to take their TA in the 7th semester. Students were asked to submit their TA-Thesis taking plans to obtain information about participants who would be taking ongoing TA-Thesis, especially for students from the semi-linear and non-linear categories.<\/li>\n<li><strong>Topic and supervisor allocation procedures:<\/strong>\n<ul class=\"custom-bullet\">\n<li>For all students who will undertake a continuous TA\u2013Thesis, the PPSM implementation team coordinates with all TA implementation teams in all related student study programs and the thesis implementation team of the Informatics Masters Study Program to coordinate the allocation of TA\u2013Thesis topics and supervisors for the students concerned.<\/li>\n<li>The process of allocating TA\u2013Thesis topics and supervisors can be a special case in the allocation of TA topics and supervisors in a student's undergraduate study program, and the procedure can be adjusted to the procedures in each undergraduate study program provided that the topic requirements (see point 2) and supervisor (see point 1) are met.<\/li>\n<li>After students are allocated a topic and supervisor, students report the ongoing TA\u2013Thesis planning proposal that has been signed by the student and supervisor to the PPSM implementation team.<\/li>\n<li>The topic and supervisor allocation process can begin before semester 7 begins and must be completed no later than the 7th week of semester 7 of the student's undergraduate program.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Taking related courses:<\/strong><strong>a. Taking TA courses in undergraduate study programs<\/strong>\n<ul class=\"custom-bullet\">\n<li>Assumption: there are TA-I courses in semester 7 and TA-II in semester 8 in each undergraduate study program.<\/li>\n<li>Students carry out the ongoing TA\u2013Thesis portion for the undergraduate program by following the TA implementation procedures in their respective study programs, with the following note: in submitting the TA proposal, the topic and planning for the implementation of the thesis must also be included.<\/li>\n<li>Students take the TA-I course in semester 7. All or part of the topic and supervisor allocation process can be done in this semester.<\/li>\n<li>TA-II courses are taken in semester 8.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Taking the Research Methodology and Thesis course<\/strong> This is implemented after the student changes status to a Master of Informatics student. The Research Methodology course is taken in semester 1 and the Thesis course is taken in semester 2 and is implemented according to the procedures and regulations applicable in the Master of Informatics study program.<\/li>\n<\/ol>\n<p>Note: in submitting a thesis proposal, the results of the TA must be submitted which will be continued in the thesis.<\/p>\n<ol class=\"main-list\">\n<li>During the ongoing TA\u2013Thesis process, students are not permitted to change topics and supervisors, especially from TA to Thesis. Changing topics or supervisors may be done for certain emergency reasons and follow procedures established by the Informatics Master's Program and acknowledged by the PPSM implementation team.<\/li>\n<\/ol>\n<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<h3 style=\"color: #111111;text-align: left;font-family:Abril Fatface;font-weight:400;font-style:normal\" class=\"vc_custom_heading vc_do_custom_heading vc_custom_1769132775882\" id=\"dual\">Dual Degree Program<\/h3><div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_border_width_2 vc_sep_pos_align_left vc_separator_no_text vc_sep_color_grey vc_custom_1764737656011 wpb_content_element  vc_custom_1764737656011 wpb_content_element\" ><span class=\"vc_sep_holder vc_sep_holder_l\"><span class=\"vc_sep_line\"><\/span><\/span><span class=\"vc_sep_holder vc_sep_holder_r\"><span class=\"vc_sep_line\"><\/span><\/span>\n<\/div>\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1776137364162\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"ai-program\">\n<p>The Master of Informatics Study Program of the ITB School of Electrical Engineering and Informatics carries out <em>Double Degree Program<\/em> (DDP), in collaboration with several partner universities abroad, allows DDP students to earn degrees from two universities simultaneously: an ITB degree and a degree from an ITB partner university abroad.<\/p>\n<p>Students can start with the ITB Master of Informatics program and attend classes at ITB for the first year according to the ITB Master of Informatics curriculum, then continue their studies at a partner university abroad for the second year. The reverse applies for students from partner universities: they attend classes according to the curriculum at their home university for the first year, then continue their studies at ITB for the second year.<\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/Program-Double-Degre.jpg\" target=\"_blank\" rel=\"noopener\"><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-24471\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/Program-Double-Degre.jpg\" alt=\"Skema Double Degree Program\" width=\"448\" height=\"159\" \/><br \/>\n<\/a><\/p>\n<p class=\"section-title\">Perguruan Tinggi Mitra<\/p>\n<p>Currently, the ITB Informatics Masters Study Program offers DDP with 4 partner universities as follows:<\/p>\n<ol class=\"main-list\">\n<li><strong>Toyohashi University of Technology \u2013 Computer Science &amp; Engineering (Japan)<\/strong> DDP TUT\u2013ITB has been formally started with <em>Agreement for Double Master's Degrees between Toyohashi University of Technology (TUT) and Bandung Institute of Technology (ITB)<\/em> August 18, 2023, and <em>Addendum Agreement for Double Master\u2019s Degrees between Computer Science and Engineering TUT and Informatics ITB<\/em> August 22, 2023.\n<ul class=\"custom-bullet\">\n<li>Website Link: <a href=\"https:\/\/www.tut.ac.jp\/english\/introduction\/publications.html\" target=\"_blank\" rel=\"noopener\">https:\/\/www.tut.ac.jp\/english\/introduction\/publications.html<\/a><\/li>\n<\/ul>\n<\/li>\n<li><strong>Singapore Management University \u2013 Master of IT in Business (Singapore)<\/strong> This program is registered for the LPDP Double Degree Program scholarship.\n<ul class=\"custom-bullet\">\n<li>Info LPDP: <a href=\"https:\/\/lpdp.kemenkeu.go.id\/storage\/beasiswa\/kebijakan-umum\/file\/public_policy_file_1737168598.pdf\" target=\"_blank\" rel=\"noopener\">https:\/\/lpdp.kemenkeu.go.id\/storage\/beasiswa\/kebijakan-umum\/file\/public_policy_file_1737168598.pdf<\/a><\/li>\n<li>Other scholarships: <a href=\"https:\/\/masters.smu.edu.sg\/programme\/master-of-it-in-business#admissions-tab\" target=\"_blank\" rel=\"noopener\">Soegiarto Adikosoemo Postgraduate Scholarship<\/a><\/li>\n<li>Website Link: <a href=\"https:\/\/masters.smu.edu.sg\/programme\/master_of_it_in_business\/community-stories\/bridging_borders_and_minds_smuitb_double\" target=\"_blank\" rel=\"noopener\">https:\/\/masters.smu.edu.sg\/programme\/master_of_it_in_business\/community-stories\/bridging_borders_and_minds_smuitb_double<\/a><\/li>\n<\/ul>\n<\/li>\n<li><strong>Grand Valley State University \u2013 College of Computing<\/strong>\n<ul class=\"custom-bullet\">\n<li>Website Link: <a href=\"https:\/\/www.gvsu.edu\/computing\/itb-international-agreements-191.htm\" target=\"_blank\" rel=\"noopener\">https:\/\/www.gvsu.edu\/computing\/itb-international-agreements-191.htm<\/a><\/li>\n<\/ul>\n<\/li>\n<li><strong>La Trobe University<\/strong><\/li>\n<\/ol>\n<p class=\"section-title\">Information for Foreign Students<\/p>\n<p><strong>1. Study Permit &amp; Visa Application<\/strong><\/p>\n<p>Necessary documents: <a href=\"https:\/\/partnership.itb.ac.id\/pre-arrival\/\" target=\"_blank\" rel=\"noopener\">https:\/\/partnership.itb.ac.id\/pre-arrival\/<\/a><\/p>\n<p><strong>Visa Fee: IDR 6,500,000.00 (subject to change)<\/strong><\/p>\n<p>Process flow:<\/p>\n<table class=\"cur-table\">\n<thead>\n<tr>\n<th>Party<\/th>\n<th>Procedures<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Applicant<\/td>\n<td>Receive the Letter of Acceptance (LoA) from ITB.<\/td>\n<\/tr>\n<tr>\n<td>Applicant<\/td>\n<td>Send all required documents to IRO ITB.<\/p>\n<p>Necessary documents: <a href=\"https:\/\/partnership.itb.ac.id\/pre-arrival\/\" target=\"_blank\" rel=\"noopener\">https:\/\/partnership.itb.ac.id\/pre-arrival\/<\/a><\/p>\n<p>After IRO ITB receives all required documents, it takes 2\u20133 months for the study permit and visa process. Visa fee is about 6.5\u20139 million IDR.<\/td>\n<\/tr>\n<tr>\n<td>.<\/td>\n<td>Process study permit online to Director of Institutional Affairs, DIKTI, Jakarta.<\/p>\n<p>After obtaining a study permit from DIKTI, proceed with online application for E-Visa C-316 to the Directorate General of Immigration, Jakarta.<\/td>\n<\/tr>\n<tr>\n<td>Applicant<\/td>\n<td>Receive E-Visa C-316 approval from The International Relations Office Bandung Institute of Technology (IRO ITB).<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>2. Guide for ITB Accommodation<\/strong><\/p>\n<p>ITB student dormitory information: <a href=\"https:\/\/asrama.ditsp.itb.ac.id\/asrama\/1\/\" target=\"_blank\" rel=\"noopener\">https:\/\/asrama.ditsp.itb.ac.id\/asrama\/1\/<\/a><\/p>\n<p>Necessary information &amp; documents: photo, phone number, birthday, birthplace, current address (with postcode), guardian name, guardian phone number, and emergency contact.<\/p>\n<p>Process flow:<\/p>\n<table class=\"cur-table\">\n<thead>\n<tr>\n<th>Party<\/th>\n<th>Procedures<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Applicant<\/td>\n<td>Provide all required information to STEI Office.<\/p>\n<p>After STEI Office receives all required information, it takes 1\u20132 weeks. Dormitory rent is about 1.5 million IDR per month.<\/td>\n<\/tr>\n<tr>\n<td>.<\/td>\n<td>The Directorate of Facilities and Infrastructure, through the Housing Service Section.<\/td>\n<\/tr>\n<tr>\n<td>Applicant<\/td>\n<td>Receive accommodation confirmation from STEI officer.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<h3 style=\"color: #111111;text-align: left;font-family:Abril Fatface;font-weight:400;font-style:normal\" class=\"vc_custom_heading vc_do_custom_heading vc_custom_1769388025975\" id=\"profil\">Graduate Profile<\/h3><div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_border_width_2 vc_sep_pos_align_left vc_separator_no_text vc_sep_color_grey vc_custom_1764737656011 wpb_content_element  vc_custom_1764737656011 wpb_content_element\" ><span class=\"vc_sep_holder vc_sep_holder_l\"><span class=\"vc_sep_line\"><\/span><\/span><span class=\"vc_sep_holder vc_sep_holder_r\"><span class=\"vc_sep_line\"><\/span><\/span>\n<\/div><div class=\"vc_tta-container\" data-vc-action=\"collapse\"><div class=\"vc_general vc_tta vc_tta-tabs vc_tta-color-grey vc_tta-style-classic vc_tta-shape-rounded vc_tta-spacing-1 vc_tta-tabs-position-top vc_tta-controls-align-center\"><div class=\"vc_tta-tabs-container\"><ul class=\"vc_tta-tabs-list\" role=\"tablist\"><li class=\"vc_tta-tab vc_active\" data-vc-tab role=\"presentation\"><a href=\"#1768880383246-91f83e75-206d\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1768880383246-91f83e75-206d\"><span class=\"vc_tta-title-text\">Business Intelligence<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1768880383300-f9a6af2a-db01\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1768880383300-f9a6af2a-db01\"><span class=\"vc_tta-title-text\">Software System Security<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1768880383338-bae7f912-e7e0\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1768880383338-bae7f912-e7e0\"><span class=\"vc_tta-title-text\">Software engineering<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1768880383376-c24d1cd9-12d6\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1768880383376-c24d1cd9-12d6\"><span class=\"vc_tta-title-text\">Data Science and Artificial Intelligence<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1768880383412-2cfbc74d-c1dd\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1768880383412-2cfbc74d-c1dd\"><span class=\"vc_tta-title-text\">Computer Science<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1768880383468-fe80b53d-2e5e\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1768880383468-fe80b53d-2e5e\"><span class=\"vc_tta-title-text\">Information Systems<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1768880495979-b3c3cc44-47c8\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1768880495979-b3c3cc44-47c8\"><span class=\"vc_tta-title-text\">Intelligence System<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1768880510380-67838af7-c3f5\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1768880510380-67838af7-c3f5\"><span class=\"vc_tta-title-text\">Intelligence System<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1769062711817-63c18e02-4128\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1769062711817-63c18e02-4128\"><span class=\"vc_tta-title-text\">Information Technology<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab role=\"presentation\"><a href=\"#1769132993708-482cd6c5-7058\" data-vc-tabs data-vc-container=\".vc_tta\" role=\"tab\" aria-selected=\"false\" id=\"tab-1769132993708-482cd6c5-7058\"><span class=\"vc_tta-title-text\">Media Technology and Mobile Devices<\/span><\/a><\/li><\/ul><\/div><div class=\"vc_tta-panels-container\"><div class=\"vc_tta-panels\"><div class=\"vc_tta-panel vc_active\" id=\"1768880383246-91f83e75-206d\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h5 class=\"vc_tta-panel-title\"><a href=\"#1768880383246-91f83e75-206d\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Business Intelligence<\/span><\/a><\/h5><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1769132863808\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%; border-collapse: collapse;\">\n<tbody>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Daniel Tanta Christopher Sirait<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1btwi0eUbPXi4Q-heLwhVnjbjQ7xVUEnQ\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Cancer Disease Detection Using Principal Component Analysis and Long-Short Term Memory<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Dionisius Pratama<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1e2vcACou1_pMDAERzgtyA_DPpxdUDU3K\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Analysis of Public Opinion on Transportation in Bandung and Jakarta on Twitter Social Media Using Bidirectional Encoder Representations from Transformers Model<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Firdausi Aditya Darmawan<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1tw6kVx9ZUBVLLYRIXpisOt4JRgFfJ4B9\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Development of a Prediction System for Students with Potential Dropouts Using Data Mining<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Gayuh Giliyuwana<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/15dCEVwPtUg74CVZCoIYJZaDSp9YszoAX\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Clustering Optimization with Variable Weighting K-Means and Antlion Optimizer for 20 kV Feeder Grouping Based on Electric Power Distribution System Reliability Index<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Ginanjar Septian Adhitia<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1TErJSW2I9jvXqelgnMSvYm3bKPW5x8oE\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">OLAP Cube Aggregation Operators on Column-Oriented NoSQL Databases Using a Resilient Distributed Dataset Approach<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Hamdi Ahmad Zuhri<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/13t1XCIPis6W-8LCZv8b0V9IFjzZUnP2w\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Product Recommendation System in E-commerce Using Multi Task Two Tower Retrieval Model<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Haris Orizadi<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1Qf9yQ912i-Buz2520qGby71yYWbKwLUc\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Prediksi Multivariate Time Series Domain Finansial Menggunakan Spectral Temporal Graph Neural Network<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Hilmi Aziz Bukhori<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1Oj10Xj0UD16j-P6yPM26Ttxj-eylvtYr\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Anomaly Detection System in Banking Transactions using Graph Neural Network-Based Machine Learning Model<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>I Putu Eka Surya Aditya<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1fHT5X3V41M2D73OJYKz2MYggTDaopzx7\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Transfer Learning with Post-Training for Aspect-Based Sentiment Analysis in Indonesian<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Ihsan Fauzi<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1jkoo9iNckI6TRk44mSixcWeKCUvi8Zrp\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Mixed Resampling Method Using DBSCAN and Particle Swarm Optimization (PSO) to Handle Data Imbalance in Classification Process<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Irvan Ariyanto<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1KEB-Wafm9_fBoJ_W0jpiYKqMO4V7pcgP\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Multilabel Mood Classification Based on Indonesian Song Lyrics Features<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Izuardo Zulkarnain<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1zbPW1yjeZS85GH-I3Cn27oKe_vwoEtmg\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Table Information Extraction Using Data Augmentation in Deep Learning and Image Processing<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Josua Crishan Mintamanis<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1C7R7N_tcFIs2YccH8dEwzsoVoSLFG6Bs\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Semantic Textual Similarity Analysis between Headlines and Content in Clickbait News Detection using ColBERT with Siamese Network Architecture<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Mokhamad Arfan Wicaksono<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/18Owu6-DddvvwX4Uh9-iKOz1tl-dmu5pY\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Statistical Analysis and Throughput Prediction Model on Multimedia Wireless Sensor Network Using Deep Machine Learning with Long Short-Term Memory Architecture<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Adrinta Abdurrazzaq<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1WPcrHkt42aednRwJ1q83JckX9Sqm0LM7\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">MAGNET Architecture Optimization in Multi-Label Text Classification<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Husni Mubarak<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1JXYU_yNq_s8dBXQ7T-xVLuHQ8BW4Cm7I\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Forecasting Monthly Electricity Consumption Using the Hybrid ARIMA-RF Method and CEEMDAN-SSA Decomposition Technique<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Isfan Rahadi<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1gPv-aK14K0DkUjwi7gEaVXuao7W7g7fL\/view?usp=share_link\" target=\"_blank\" rel=\"noopener\">Predicting the Number of Covid-19 Cases After the Vaccination Program Using the SEIVR Model and Latin Hypercube Sampling<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Ulfi<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1_TfC208tomIvpL9L2bdxKb5nDN-dYmCM\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Query by Humming System Using Frequency-Temporal Attention Network Melody Extraction and Modified Unified Algorithm<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Nabila Rahmi Maulida<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1bfR5da7KD_eIG0-fSN-cCfPSAtKmM-Y4\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Machine Learning Using a Combination of ARIMA and LSTM Models for Traffic Density Prediction<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Oktefvia Aruda Lisjana<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1uLJmDMnMf9zW-XRHtw7T5ItTAoSwY-32\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Classification and Clustering to Obtain the Structure of Community Report Texts<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Raden Alf Fajrus Shuluh<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em>Implementation of Block Nested Loop Join Algorithm Using Server-Side Processing Method for MongoDB Database in Distributed Environment<\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Ratih Aflita Rahmawati<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1SG2R8U64Lvu4n4oJG7HkEBf2CVwtKYGA\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Latent Motif-Based Time Series Data Classification for Extreme Weather Prediction<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Suwardiman<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1VKh6T_pmOm2F6vhSiKD_vaGsH7TQy4I3\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Adaptive Ridge Regression-FS with Weighted Normalization on Indonesian GDP Growth Prediction with Google Trends<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Triana Dewi Salma<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1fGCILXA5N2ACtOnZMDEaYiRXi7IugJqI\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Text Classification Using XLNet with Infomap Automatic Labeling Process<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1768880383300-f9a6af2a-db01\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h5 class=\"vc_tta-panel-title\"><a href=\"#1768880383300-f9a6af2a-db01\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Software System Security<\/span><\/a><\/h5><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%; border-collapse: collapse;\">\n<tbody>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Adhe Setya Pramayoga<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/uc?export=download&amp;id=1hA-oUKZoLLpHrov-OYiAAhE_HPWpQuUC\" target=\"_blank\" rel=\"noopener\">Message Security in the MQTT-SN Protocol Based on LoRa Technology Using the Authenticated Encryption Scheme with Associated Data<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1768880383338-bae7f912-e7e0\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h5 class=\"vc_tta-panel-title\"><a href=\"#1768880383338-bae7f912-e7e0\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Software engineering<\/span><\/a><\/h5><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%; border-collapse: collapse;\">\n<tbody>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Adnan Setiawan AR<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1g_4tOdLllMqGoVsllnPzSb76qRpzcpz3\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Blockchain-Based E-voting System<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Ayu Komalasari<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1g341RdaLA4Zx3v-MKoIPuZs2_9x5ZhyI\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Optimasi Prediksi Defect Menggunakan Kombinasi Metrik Perangkat Lunak<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Fakhri Aunurrahim<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em>Application of WOAmM to FLANN Training to Improve Accuracy in Software Effort Estimation<\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Hasna Karimah<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1qXhUlk54FjiA68V_AMGFlueuoqsn_XLi\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Design and Implementation of a QAR System for History Learning with Marker-Based Augmented Reality Technology<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Iswahyudi<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1YGtPxrxIFG1uvrA1LIH4cC4AMhrWC1q0\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">A Tool to Identify I\/O Performance Problems in Web-Based Applications<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Jatmiko Herjati<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1ukkc0mvBxfsz6Tr5AEvnbknC2SZrFKwC\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Design and Implementation of Architectural Diagram Generation Tool from System Descriptors<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Kurniandha Sukma Yunastrian<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1JbGrOqM9CCRHL4WmFNeoVCKgj1cSiFhM\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Determining Software Requirements Priorities Using the Collaboration Value Oriented Prioritization Method<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Labib Izzatur Rahman<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1qPHJaTKhw3sAoaOC84EQPX89wODM-02w\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Domain-Specific Language Development for Smart Contract Specifications<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Mochammad Farrell<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1PKwDBoWYvl0cyYTSqOFQasGmmdWZTwlH\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Implementation of Event Driven Architecture in Meeting SLA Query Information AND Query Transaction Needs in Bulk Payment Case Study<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Harun<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1w_cO4DA9SKxARMvqZNNM5DJHcTRv5rb5\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Gamification-Based Personalized Learning to Generate Recommended Indonesian Spelling Learning Paths<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Ikhsan<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1UjeocyLjUbJN9DoL-G6s9OHdGav4nS34\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Path Selection Prioritization in Control Flow Testing with Clustering Method<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Oky Rahmanto<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1SBqKlMU5eIsiOoXiUbQusJ54LzkMu5ob\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Trust Management in Heterogeneous IoT Systems<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Ranindya Paramitha<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1cEPn-7m9nAl4d81P0RMP-pwxSETJl4Xc\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Security Smell Study on Java Applications<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Sigit Widodo<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1YuauKCR2m4xT-7XQRktcFddT5Yi5HUef\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Development of Design Smell Detection Tool Using UML Class Diagram<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Vincent Joel Sinatra<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/15gKsrIjkOhAmiz-E0gO2hWhcwab8g911\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Analysis of the Relationship between Code Review and Bugs in Software Releases Using Software Repositories Mining Techniques<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Walim Abdul Somad<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/129sq44TxSb3MhqOUDsWfZsjzXvH2Dur1\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Application Integration Architecture Design Using Service-Oriented Architecture Case Study of Business Actor Registration<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Wawan Indrawan Madda<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1Mz-f6xY7Pw72trhS6Tf6dXPw2EzvnrjH\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">RDB2OL and RDB2FHIR: Languages and Tools for Mapping Relational Databases to Fast Healthcare Interoperability Resources<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1768880383376-c24d1cd9-12d6\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h5 class=\"vc_tta-panel-title\"><a href=\"#1768880383376-c24d1cd9-12d6\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Data Science and Artificial Intelligence<\/span><\/a><\/h5><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%; border-collapse: collapse;\">\n<tbody>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Adriel Gustino Parlinggoman Situmorang<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1Ak7OTNkRgnZtv1fnpo2lftWAX1Yl6F67\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Comparative Study of Reproduction Number Estimation of COVID-19 Disease in the SIR Compartment Model Using the Kalman Filter and Optuna Algorithms for Data-Driven Governance<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Anindya Prameswari Ekaputri<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1Z8Cm2zBg-5Fwjp2OWlXaXKBS4eIIwCyY\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Development of an Expert Search Model with Graph Value Propagation and Semantic-Based Query Expansion<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Christovito Hidajat<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/14M0Vy5qp1dKXMqTKH7sZwe-BPuJjdF6X\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Fraud Detection Model in Financial Transactions Using Expectation-Based and Quantile-Based Probabilistic Least-Squares Support Vector Machine Algorithm with Symbolic Data<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Danendra Athallariq Harya Putra<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1O6pad5GMNuC5YfwtcSnYV7Doa4V_Euoa\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Opinion Tuple Extraction Using a Pre-trained Language Model-Based Generative Approach for Aspect-Based Sentiment Analysis<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Hollyana Puteri Haryono<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1TdboWHBtMaS6fzgUPJh_WA95aCPvUJZK\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Dynamic Heter-LP: Development of Heter-LP Algorithm as a Link Prediction Solution for Dynamic Heterogeneous Graphs with DTLPLP Integration<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Radhinansyah Hemsa Ghaida<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em>Development of the DTLPLP Method for Link Prediction in Dynamic Heterogeneous Networks with the Heter-LP Approach<\/em><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1768880383412-2cfbc74d-c1dd\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h5 class=\"vc_tta-panel-title\"><a href=\"#1768880383412-2cfbc74d-c1dd\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Computer Science<\/span><\/a><\/h5><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%; border-collapse: collapse;\">\n<tbody>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Jadequeline Marsha Pricila<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1xNCsIqOhhGKr34AqOIrqtIqs5ofF-3wZ\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Image Caption Generation With SeqGAN Using Augment-Reinforce (AR) Estimator<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Setyo Legowo<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1OckdcVRCevwTw6g2ejuHZKwVxpib6YO9\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Study of BERT Model Inference Speed Improvement on x86 CPUs Using Apache TVM<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1768880383468-fe80b53d-2e5e\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h5 class=\"vc_tta-panel-title\"><a href=\"#1768880383468-fe80b53d-2e5e\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Information Systems<\/span><\/a><\/h5><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%; border-collapse: collapse;\">\n<tbody>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Ahmad Tarmizan Kusuma<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1PJMDLib2pZftddmZ0oOZF1DtMHLUrNjS\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">API-Based Blockchain and Metaverse Integration Design for Public Services (Case Study: Digital Identity Data Collection)<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Anggastya Diah Andita H.P<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1zCNTkyTmdnQkhbil8UR0JPeNlnoVkt1B\/view?usp=share_link\" target=\"_blank\" rel=\"noopener\">Tracking the Achievement of Quality Targets in the Implementation of a Blockchain-Based Quality Management System (ISO 9001)<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Anranur Uwaisy Marchiningrum<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1MKQFrUIrgMbHnnSnYuS6VAdcCBKxvHyE\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Predictive Maintenance of Steam Turbine Machines in Palm Oil Processing with a Digital Twin Concept Approach<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Arian Nurrifqhi<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/104USx2WYju-3qe2pd02ZabMsdm_tzeKK\/view?usp=share_link\" target=\"_blank\" rel=\"noopener\">Development of a Project Management Risk Assessment Model for Applications in GX PMBOK Using Scenario Analysis Checklist and Simple Additive Weighting (Case Study: Bandung Regency Government)<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Byan Sakura Kireyna Aji<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/16VK6xZHv6ZMsCZ75Vb2r20iohJm1RML6\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Carbon Footprint Smart Monitoring Model for Buildings at the Bandung Ganesha Institute of Technology<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Faishol Muzaky Dwi Putra<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1SfX3AqrBfQ61g433yfkpX5EzcXypeCIX\/view?usp=share_link\" target=\"_blank\" rel=\"noopener\">Determining the Location of Smartphones Indoors Using WLAN<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Kukuh Muhammad<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1yVoxCXHtOiMo8-oKQtSIDJtDc67ZE60v\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Development of Secure Data Communication Protocol in IoT System with HMAC-Based Mutual Authentication Scheme to Ensure Data Integrity<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Michael Hans<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/12L1NYDJZriNRc85m3OI9NNQe-A7PFGS9\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Predictive Analytics for Optimizing Carbon Emissions from Student Learning Activities (Case Study: Bandung Institute of Technology)<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Nima Rohmalia<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1MLOv2FXLZ7SULDeD5aeNLn7-wL23d7UK\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Designing a Retail Central Bank Digital Currency (CBDC) Model as a Payment System<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Patrick Segara<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1gLMMTgUWQvTQnFgyL3FGVAVi7q949PGr\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Green IT Implementation Framework in Higher Education (Case Study: Bandung Institute of Technology)<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Raden Haryo Pandu Prakoso<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/16xtw5zXkdUBtNKr6hKGsTKIlHTEzsbcY\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">A Study of Data Modeling Methodology for Column-Oriented Databases<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Safara Cathasa Riverinda Rijadi<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/18nX9Ymnj7l2Wdvc_Zl7Xj5H3570UMuZy\/view?usp=share_link\" target=\"_blank\" rel=\"noopener\">Designing Governance for Handling the COVID-19 Pandemic in Indonesia<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Syfa Nur Lathifah<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1vWxDQsedWnWyzAEl3hg0bHo9G0XmFCF7\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Optimizing the Oyster Mushroom Cultivation Monitoring System Through the Implementation of the Digital Twin Concept<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Vhydie Gilang Christianto The<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1V5RBsojuH7XFerNVmTL9b6WIr7PAsiYC\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Intelligent Decision Support System for Information Technology Equipment Management (Case Study: Bandung Institute of Technology)<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Wisnu Arya Dipa<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1BKGGKOzCacJeMxRZmOlhGvdCx4ZuLltJ\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Software Defect Prediction Using SMOTE and Artificial Neural Network<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Yusuf Luthfi Ramdhani<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1emTTrFuiZbhr8D-aHSZ9pY3IjMinonhL\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Developing an AI Governance Model in Companies Based on the CMMI Model Structure (Case Study: Healthcare)<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Zalina Fatima Azzahra<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/14M168-1kpLL7xpp4qvvhCfixCsHzjlDl\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Service Level Agreement (SLA) Management using Blockchain-based Smart Contracts to Improve the Quality of Information Technology Service Management<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1768880495979-b3c3cc44-47c8\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h5 class=\"vc_tta-panel-title\"><a href=\"#1768880495979-b3c3cc44-47c8\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Intelligence System<\/span><\/a><\/h5><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%; border-collapse: collapse;\">\n<tbody>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Ilham Syahid Syamsudin<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/17ouJtGaqsl-ymnon871xSN8Yi1R03gSu\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Adaptation of Layer-wise Adaptive Rate Scaling (LARS) Implementation in Distributed Machine Learning Models<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Moch. Nafkhan Alzamzami<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1dehG-gJE6C7OkZE5UpQQCa-mlFgFF2Nu\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Development of a Cross-Language Abstract Meaning Representation Parser for Indonesian-English Using BART, Input Concatenation, and Data Augmentation<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Farid Adilazuarda<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em>Development of LanguageFusion Method to Overcome Language Identification Bottleneck in Modular Multilingual Language Models<\/em><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1768880510380-67838af7-c3f5\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h5 class=\"vc_tta-panel-title\"><a href=\"#1768880510380-67838af7-c3f5\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Intelligence System<\/span><\/a><\/h5><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%; border-collapse: collapse;\">\n<tbody>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Aaz Muhammad Hafidz Azis<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1dPdnWTTnp81qxizW3bVrxsVzNHmswfbG\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Classification of Hijaiyah Letter Pronunciation According to Sanad Using SVM, CNN and LSTM Methods<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Aditya Rachman Putra<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1XLaM1noM1fKSSMp49S317r5aOULXgCA5\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Generating Cross-Language Abstract Meaning Representations from Indonesian Sentences<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Aisyah Nurul Izzah Adma<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1yrr-9KhkqcDsdWnlNlmLduQPxBEZdwMk\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Emotion Diarization in Indonesian Conversational Audio Using Speaker Role Coding and Hybrid RNN-CRF Model<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Amany Akhyar<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1D_hvcSBpYEmZ1TG-C3NMsBs-b70z6Md2\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Automatic Summarization of Indonesian News with Abstract Meaning Representation<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Andreas Novian Dwi Triastanto<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/uc?export=download&amp;id=1CYdxC9ipnyhwxACzsI1XCUzQIoMRUG_n\" target=\"_blank\" rel=\"noopener\">Query by Humming Music Information Retrieval Using DNN-LSTM Based Melody Extraction and Noise Filtration<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Annisa Muzdalifa<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1NXa4cTb1_5NJYbZsCGXVFiSRIyhvwdOP\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Cluster Abstraction with Graph Reduced Summarization on Keyword Search Results Based on the Klustree Method<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Arrival Dwi Sentosa<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em>Predicting the Risk of White Spot Syndrome Virus in Vannamei Shrimp Using Machine Learning and Expert Knowledge Approaches<\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Dandy Arif Rahman<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1nMzpXuMlOTdOS-nI5QshkWvfxhmYcyd2\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Utilizing Shallow Learning for COVID-19 Classification Based on Cough Sounds<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Dhiya Ulhaq Dewangga<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1htuoHqLV7eNU6MuogX1HY6T2fjBNZBaf\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Text to Speech System for Dysphonia Speech Disorder Using Adversarial Networks Architecture with Voice Cloning Approach<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Dimmas Mulya<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1BH2Wc1eI5yEDh1oySyxsCIkNVWexfTvi\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Biomedical Event Extraction Using Multi-Label Classification and Pre-Trained BERT<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Dinda Yora Islami<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/11z3mgLC95SADtahou4vgLsNvsjhwr45S\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Development of Acoustic Model Using Chain Model-Based DNN in Speech Recognition System (Case Study: Dentistry Conversation)<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Fairuz Astra Pratama<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/15W-M8qrVXLfAqBSL0rF1IQup6hjEUqZh\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Pembuatan Wang Tiles Otomatis Menggunakan Pendekatan Parametrik<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Fajar Muslim<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1Emas850Q6L8Wn--66N-vShKdsrtaOjYH\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Solving Indonesian Coreference Resolution Using Word Level Coreference Resolution Architecture<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Fauzan Firdaus<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1Olw6OCV2fYqTXpm6D-K3hedFA1UjXq19\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Pengenalan Wajah Bermasker menggunakan Deep Learning<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Gabriel Jonathan<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1GqJmdQADb-HALZLJvSRNCCRoa-ecDJ9i\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Implementation of Reinforcement Learning Agents for Turn-Based Strategy Video Games<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Giffari Alfarizy<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1B9UCrUet4I5f55ugdutmvNhWr0E9B2UJ\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Verifying Unanswerable Questions in Question Answering Systems Using Sentence-BERT and Cosine Similarity<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Gisela Kurniawati<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1ALsMhM_1orcp7APlt5OCgZkAZ8M0nAmm\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Predicting Student Academic Performance and Graduation Time Using LSTM and GRU<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Hadi Permana<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1REOMnHM3tFrlAEZXqHJ8oaoaUaPb8IvM\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Sentiment Analysis in Sundanese Using a Multi-Language Pre-trained Language Model<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Hani&#8217;ah Wafa<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/13RrBRn9u1l9et3i6ij1TLzjBOSU3IerG\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Implementation of Reinforcement Learning with Quantum Computing Approach<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Harits Abdurrohman<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1bR0hFSQ-dHy5UxHulZPfMeTr-kGxOtD8\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Adoption of Knowledge Distillation and Siamese Network in Semantic Segmentation Based on Semi-Supervised Learning<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>I Nyoman Switrayana<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1bDoV5lXrxk9WFpSVqRgU_2iLzbMO6YIn\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Paper Recommendation System Using Hybrid Approach to Overcome Data Sparsity<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Irfan Ihsanul Amal<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1hqp8AFL7oUdt5sHUQA8F-2U_XgV2l7do\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Generating Specific Title Text for Product Images Using Semantic Attributes<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Isjhar Kautsar<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/uc?export=download&amp;id=1lxbcD-y8EJOJMebu8wQkacvE2l7bev9a\" target=\"_blank\" rel=\"noopener\">mGRUIP Acoustic Model with Temporal Convolution in Speech Recognition System for Quran Recitation Evaluation<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Kadek Denaya Rahadika Diana<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1TJeZdiqCKFGYeN6vZHHAgugpvjWmMY9Q\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Extractive Summarization with Text Encoder Sentence-Bert and Reinforcement Learning for Indonesian Text<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Keenan Adiwijaya Leman<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1mRZ0AT8SdrOu7_g5v24LZBESP3AwcunQ\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Human Activity Recognition Application as a Physical Violence Detection System<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Made Raharja Surya Mahadi<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1knQAUWMhn6RwyTKWRj8FbGYtfZ5XO1VZ\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Generating Images From Indonesian Descriptive Text Using Generative Adversarial Networks<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Marsa Thoriq Ahmada<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1JK3kFS1vZrtNsgTxsusbaplAZoGJ8FvM\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Image Captioning with Text Augmentation and Transformer. Case Study: Tourism Data<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Miftahul Mahfuzh<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1OSmoN8WN1c5n30EJc0WgH31vgJrSx643\/view?usp=share_link\" target=\"_blank\" rel=\"noopener\">Multi-Label Classification in Text Processing Using Transformer Architecture with Multi-Task Learning Approach<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Moch Azhar Dhiaulhaq<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1sNTSpROYeFAPk2y044lJA5znxkqUXn50\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Post-Control of Prosody and Emotion for Indonesian Text-to-Speech Systems<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Anwari Leksono<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1gmvzBzAL8LA75VCPiJawDVWKTVREXo0t\/view?usp=share_link\" target=\"_blank\" rel=\"noopener\">Application of Sequential Labeling and DNABERT to Predict Splice Sites in Homo Sapiens DNA<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Fadhlan Putranto<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1ZRnHrM-WjCc0WOI91Kv_GoV0_7ifNbI3\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Deep Learning Model for Extreme Rainfall Prediction Using Himawari Satellite Data and Rapidly Developing Cumulus Area (RDCA) Model Data<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Faris Muzakki<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1n51VOdnKIly_aDGlHSmvBf33VtGqdfXb\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Image Synthesis Using Generative Adversarial Network to Overcome Imbalance Problems in Chest X-Ray Classification Cases<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Haris Maulana<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1IFqTSkAE6kc378AFl-Z6mp56Keqs0Ljf\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Unsupervised Aspect Categorization for Sentiment Analysis Using Aspect Embedding and Pruning<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Muhammad Sidik Asyaky<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1aNeNE_uH5mwfdZdUgqjGivUSS83lD-GU\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Implementation of Word Embeddings and UMAP to Improve HDBSCAN Performance on Short Text Clustering<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Nadya Aditama<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1UMt67eP0zkbVT1vIHyKV8rHGF3I-HX5f\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Calorie Estimation in Traditional Snacks in Indonesia Using Mask R-CNN and Multiple Linear Regression<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Paulus Setiawan Suryadjaja<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1jsaHT0_4RVf1YtuNsQTX8bn0WS-spOoX\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Application of Sentence-BERT to Improve the Performance of Extractive Text Summarization Based on Density Peaks Clustering<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Rayza Mahendra Guntara Harsono<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1DnUOB1Qst9lZBDbePpU21JxtplHdZNbS\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Zero-shot and Few-shot Learning in Indonesian Domain Text Classification<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Rifo Ahmad Genadi<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1SmrhB_pvngxtEs-VJPmuNNnDGsaT4Kw4\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Transfer Learning and Span-Based Representation for Opinion Triplet Extraction for Aspect-Based Sentiment Analysis<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Rizal Kusuma Putra<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1qbJRY3IgG5QX7A7cWHMZTup9hzDPtE8d\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Similarity-Based Hazardous Object Recognition Using Siamese Network in Baggage X-Ray Inspection<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Rossevine Artha Nathasya<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1YILUwC0b6bQB0mnkVGsbklkYlAHkxHwq\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Speech Recognition System for Indonesian Language Using Wav2Vec2-Based Transfer Learning in Several Specific Domains<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Widya Puteri Aulia<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/18QzV4lykhVm26bzdEt102ldOjsEfLAww\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Early Detection of Depression Through Indonesian Text with Transfer Learning and Linguistic Metadata Features<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Zalid Qomalita Hijriana<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1K3A6iDYnRS1g9KXFNDq6wr6CKAF-ksmz\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">3D Face Verification from a Single Low-Resolution Image Based on Deep Convolutional Feature Exploitation<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Zilfikri Yulfiandi Rachmat<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/uc?export=download&amp;id=1BC2TT_G-RV3BECNbGBAwPI06oJfNqVPH\" target=\"_blank\" rel=\"noopener\">Improving the Performance of the Virus Colony Search Algorithm on the Traveling Salesman Problem<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1769062711817-63c18e02-4128\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h5 class=\"vc_tta-panel-title\"><a href=\"#1769062711817-63c18e02-4128\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Information Technology<\/span><\/a><\/h5><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%; border-collapse: collapse;\">\n<tbody>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Eki Saputra<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1bjG6EnsNqISj72H_1rj_KOLrJWL2Crvf\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Implementation of the Fuzzy Topsis Algorithm for Scheduling and Distribution of BST Assistance Recipients in Bandung City During the Pandemic<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Goklas Henry Agus Panjaitan<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1AWrCVivhjOwU8ShVriC4PTlcTU7InYz6\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">Edge Computing-Based Leaf Disease Detection Platform in IoT Multimedia Systems<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Inkreswari Retno Hardini<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/uc?export=download&amp;id=1U2HKVjzK6WgfgttzCTaKkFYpbBJ0xIc8\" target=\"_blank\" rel=\"noopener\">Development of Mean-Shift Based Face Tracking System with Locust Search Algorithm Optimization<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"vc_tta-panel\" id=\"1769132993708-482cd6c5-7058\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h5 class=\"vc_tta-panel-title\"><a href=\"#1769132993708-482cd6c5-7058\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Media Technology and Mobile Devices<\/span><\/a><\/h5><\/div><div class=\"vc_tta-panel-body\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<table class=\"cur-table\" style=\"width: 100%; border-collapse: collapse;\">\n<tbody>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Fais Zharfan Azif<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/uc?export=download&amp;id=1kvNJZ8EqvEtDYSZyfmKWPG-XTqBv7dQk\" target=\"_blank\" rel=\"noopener\">Designing an Educational Game Evaluation Framework Based on Game Mechanics<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Faisal Ridwan Siregar<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1Ayrm7WlmDVDXw8jFW9CgEBeqblQwhTP2\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Gamified Device-Based Learning in Learning to Read the Qur'an<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Insan Ganang Putranda<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/1XmR5pY8ytp55FnGvJFeh6ABaFZJekxqb\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">The Use of Mixed Reality Technology with Audio Signal Processing in Training and Improving Motivation for Learning Keyboard Musical Instruments<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px 10px; border: 1px solid #ddd; line-height: 1.2;\">\n<div><strong>Ricky Yuliawan<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em><a href=\"https:\/\/drive.google.com\/file\/d\/10n1FMmV4UbHvgZhRsEuHMLZ5D6cmN1zn\/view?usp=drive_link\" target=\"_blank\" rel=\"noopener\">Rancang Bangun Aplikasi Gawai OpenCourseWare Menggunakan Pendekatan Player-Centered Design<\/a><\/em><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div><h3 style=\"color: #111111;text-align: left;font-family:Abril Fatface;font-weight:400;font-style:normal\" class=\"vc_custom_heading vc_do_custom_heading vc_custom_1769064206889\" id=\"form\">Administration Form<\/h3><div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_border_width_2 vc_sep_pos_align_left vc_separator_no_text vc_sep_color_grey vc_custom_1764737656011 wpb_content_element  vc_custom_1764737656011 wpb_content_element\" ><span class=\"vc_sep_holder vc_sep_holder_l\"><span class=\"vc_sep_line\"><\/span><\/span><span class=\"vc_sep_holder vc_sep_holder_r\"><span class=\"vc_sep_line\"><\/span><\/span>\n<\/div>\n\t<div class=\"wpb_text_column wpb_content_element vc_custom_1769133202724\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4>Administrative Form<\/h4>\n<ol>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1MybcBZa_RIw171ekp0L3EIrhe4oXfmqv\/view?usp=sharing\">Supervisor Form from Outside ITB<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1sjOmvMSvJWorqAUdhZ-dS25jAXklaJOv\/view?usp=sharing\">Topic\/Supervisor\/Add Supervisor Change Form<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1dM0GwRd4iDWgKdoKjMvlr_SjAlYkvhlK\/view?usp=sharing\">Master's Informatics Thesis Seminar Proposal Form (offline)<\/a><\/li>\n<li><a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSfa8gFFeoSxrj7OXgmtdMbseFIwhk3UOeBx9DcEEaVMtwNvCA\/viewform\">Master's Informatics Thesis Seminar Proposal Form (online)<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/drive\/folders\/1K-ItIxXM_-2aN9ro9IGrmveaq9ORh-fp?usp=sharing\">Thesis Defense Requirements Form<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/open?id=10zlz7QuUGNilfm4yxCjg6LHjZNX_nbsB\">Master's Informatics Thesis Defense Proposal Form (offline)<\/a><\/li>\n<li><a href=\"https:\/\/forms.gle\/wenRbiV37KN7q9yC8\">Master's Informatics Thesis Defense Proposal Form (online)<\/a><\/li>\n<li><a href=\"https:\/\/forms.gle\/cTZ2NVU48cemiQaNA\">Link to the plagiarism check upload form for Master of Informatics students' papers<\/a><\/li>\n<\/ol>\n<h4>Guidelines and Rules<\/h4>\n<ol>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1iDenmnz2oWpGTg4BXIr2At0SjaIw5PZ0\/view?usp=sharing\">Online Thesis Seminar Guide<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1_PSTYvuPmsrbwim3kfWfi2-2ybtWzNRr\/view?usp=sharing\">Online Thesis Defense Guide<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1WjBSyRxoKN-9_vntJzh3NOysY3zmwBMN\/view\">Guidelines for Implementing Postgraduate Seminars\/Seminars<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1lcB806xutIJJYKkmjH3YX04l5UQjGxLA\/view\">Master's Thesis Proposal Template IF<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1CiNZ9PxFDa2DnF4fTT0mKNoaV09RoN7k\/view?usp=sharing\">Systematics of Progress Report IF5091\/IF5092 Research Implementation 1\/ 2<\/a><\/li>\n<li><a href=\"https:\/\/docs.google.com\/document\/d\/1h8sbn0nwSOMbUu0DO4BYqo_MQkX7jjiHefyohWN8fc4\/edit?usp=sharing\">MBR Research Proposal Template<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1T0Txa-91R5oev4ldYtVq1DLXoIUT2RrT\/view?usp=sharing\">MBR Interview Guide<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1UfgN817PNaC4e04KvudLkRdOv5Gz-O9N\/view?usp=sharing\">Master's Thesis Implementation Guide for IF (2022)<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/drive\/folders\/1SznL058eV0yzGRS5pqG7Nc-kBUfaS1Wm\">Industrial KP Guidelines S2 IF &amp; Administration<\/a><\/li>\n<\/ol>\n<h4>SK \/ IF Master's Accreditation Certificate<\/h4>\n<ol>\n<li><a href=\"https:\/\/spm.itb.ac.id\/wp-content\/uploads\/sites\/64\/sites\/42\/2022\/12\/Surat_Sertifikat_LAMINFOKOM_S2Informatika.pdf\">Superior SK 2022<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1YvD_AOE8cTir5yoaVLk6K4PWwrncPent\/view?usp=sharing\">Superior SK<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1cKZfOYlCOvN1drr1StKhbf3p5zTEBX9r\/view?usp=sharing\">SK 2017<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1UBYeHXUaLwjJH6JaGzNlBfDnL3uc7wCB\/view?usp=sharing\">SK 2018<\/a><\/li>\n<\/ol>\n<h4><strong>Server IF<\/strong><\/h4>\n<ol>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1nQaaYq5DY17_VC2O0pGHW-iWir7w33up\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">IF Server Specifications <\/a><\/li>\n<\/ol>\n\n\t\t<\/div>\n\t<\/div>\n<h3 style=\"color: #111111;text-align: left;font-family:Abril Fatface;font-weight:400;font-style:normal\" class=\"vc_custom_heading vc_do_custom_heading vc_custom_1765500428527\" id=\"kontak\">Contact<\/h3><div class=\"vc_separator wpb_content_element vc_separator_align_center vc_sep_width_100 vc_sep_border_width_2 vc_sep_pos_align_left vc_separator_no_text vc_sep_color_grey vc_custom_1764737656011 wpb_content_element  vc_custom_1764737656011 wpb_content_element\" ><span class=\"vc_sep_holder vc_sep_holder_l\"><span class=\"vc_sep_line\"><\/span><\/span><span class=\"vc_sep_holder vc_sep_holder_r\"><span class=\"vc_sep_line\"><\/span><\/span>\n<\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_inner vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-6\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"wpb_gmaps_widget wpb_content_element\"><div class=\"wpb_wrapper\"><div class=\"wpb_map_wraper\"><iframe src=\"https:\/\/www.google.com\/maps\/embed?pb=!1m18!1m12!1m3!1d3960.999908875008!2d107.60880381342584!3d-6.890612769340193!2m3!1f0!2f0!3f0!3m2!1i1024!2i768!4f13.1!3m3!1m2!1s0x2e68e6501428e52b%3A0xdbcfeaff9b6080b5!2sSekolah%20Teknik%20Elektro%20dan%20Informatika%20ITB!5e0!3m2!1sid!2sid!4v1619403303993!5m2!1sid!2sid\" width=\"100%\" height=\"450\" style=\"border:0;\" allowfullscreen=\"\" loading=\"lazy\"><\/iframe><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-6\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p class=\"entry-title\"><strong>Contact Us<\/strong><\/p>\n<div class=\"entry-content\">\n<p><b>Master of Informatics Engineering<\/b><br \/>\nLabtek VIII\/Achmad Bakrie Building, Jl. II, Lebak Siliwangi, Coblong, Bandung City, West Java 40132<\/p>\n<p>Admin Prodi: Sri Wahyuni, A.Md.<br \/>\nPhone\/WA : <a href=\"https:\/\/wa.me\/6282229996572\" target=\"_blank\" rel=\"noopener\">+62-822-2999-6572<br \/>\n<\/a><\/p>\n<p><strong>Parking at ITB<\/strong>Vehicles on the ITB campus are restricted to employees and special guests. There are three main parking facilities:<\/p>\n<p>There are three main parking facilities, namely:<\/p>\n<ul class=\"parking-list\">\n<li><strong>Sasana Budaya Ganesha<\/strong> (Sabuga) is the largest parking area for four-wheeled and two-wheeled vehicles. Access to this parking area is from Jalan Taman Sari or Jalan Siliwangi.<\/li>\n<li><strong>Parkir Timur<\/strong> (SR) provides limited parking for four-wheeled and two-wheeled vehicles. This parking area is open 24\/7, except on major holidays.<\/li>\n<li><strong>Parkir Barat<\/strong> (Civil) is specifically for two-wheeled vehicle users.<\/li>\n<\/ul>\n<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div>                <\/div>\n            <\/div>\n            <\/div><\/div><\/div><\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"Tentang Program Studi Tujuan Program Studi Capaian Lulusan Program Studi Opsi atau Jalur Pilihan Struktur Kurikulum Pendaftaran dan Seleksi Mahasiswa Baru PPSM Program Dual Degree Profil Lulusan Formulir Administrasi Kontak [...]","protected":false},"author":671,"featured_media":0,"parent":10289,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-10697","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages\/10697","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/users\/671"}],"replies":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/comments?post=10697"}],"version-history":[{"count":62,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages\/10697\/revisions"}],"predecessor-version":[{"id":30784,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages\/10697\/revisions\/30784"}],"up":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages\/10289"}],"wp:attachment":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/media?parent=10697"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}