{"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":"2026-06-05T10:09:50","modified_gmt":"2026-06-05T03:09:50","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_1764920595896\"><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>General Description &amp; Curriculum<\/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\">General Description &amp; Curriculum<\/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>Teknologi Media dan Piranti Bergerak (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>Sistem Informasi (Information Systems)<\/li>\n<li>Teknologi Informasi (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>Kurikulum Program Studi Magister Informatika dengan total 54 sks terbagi ke dalam 3 semester dengan beban maksimal 18 sks per semester dengan komposisi di bawah ini. Untuk skema program multidisiplin dan skema program <em>.<\/em>, kurikulum disusun dalam 4 semester.<\/p>\n<ul class=\"custom-bullet\">\n<li>ITB Required: 7 credits<\/li>\n<li>Wajib Prodi: 12 sks mata kuliah terstruktur + 12 sks Tesis<\/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>Waktu studi dijadwalkan dalam 3\u20134 semester. Struktur Mata Kuliah Prodi Magister Informatika dalam 3 semester berikut ini. Mahasiswa mengambil 18 sks 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 dan tujuan penelitian, dan elemen metodologi penelitian.<\/li>\n<li>Penentuan topik penelitian, identifikasi dan perumusan masalah, kebaruan dan\/atau nilai inovatif penelitian.<\/li>\n<li><em>Research question<\/em>, penentuan hipotesis, perancangan penelitian.<\/li>\n<li>Desain eksperimen, konsep variabel bebas dan variabel terikat, atau metode pemerolehan data lainnya sesuai dengan nature keilmuannya.<\/li>\n<li><em>Sampling<\/em>, <em>sample<\/em>, <em>sampling error<\/em>, <em>sample size<\/em>, karakteristik sample yang baik, dan konsiderasi praktis dalam sampling.<\/li>\n<li>Pengolahan data, analisis, pembahasan, dan kesimpulan.<\/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>Konsep digital, model dan strategi komunikasi, penelusuran, dan kolaborasi digital secara efektif dan positif.<\/li>\n<li>Pemanfaatan digital tools.<\/li>\n<li>Prinsip-prinsip literasi data, artificial intelligence, machine learning, dan deep learning.<\/li>\n<li>Pemanfaatan AI untuk riset dan penulisan karya ilmiah.<\/li>\n<li>Integritas dan etika akademik.<\/li>\n<li>Integritas dan etika dalam riset, proyek, dan publikasi ilmiah.<\/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> dan struktur data.<\/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>Prinsip dan konsep umum manajemen dan organisasi data.<\/li>\n<li>Sistem manajemen data.<\/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>Penentuan topik penelitian, identifikasi dan perumusan masalah, kebaruan dan\/atau nilai inovatif penelitian.<\/li>\n<li><em>Research question<\/em>, penentuan hipotesis, perancangan penelitian.<\/li>\n<li>Pengembangan metode penyelesaian masalah penelitian.<\/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>Penerapan dan pengembangan metode penyelesaian masalah penelitian.<\/li>\n<li>Komunikasi akademik.<\/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> (termasuk di dalamnya 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>Penerapan dan pengembangan metode penyelesaian masalah penelitian.<\/li>\n<li>Komunikasi akademik.<\/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>Keberhasilan penelitian.<\/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>Model sistem terdistribusi<\/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>Tata Tertib dan Cakupan Topik Tes Seleksi S2 Informatika<\/h4>\n<p>Peserta ujian tulis wajib memperhatikan tata tertib ujian, jadwal pelaksanaan, sifat ujian, serta cakupan topik tes seleksi Program Magister Informatika ITB.<\/p>\n<div class=\"selection-grid\">\n<div class=\"selection-card\">\n<h5>Tata Tertib Ujian<\/h5>\n<ul>\n<li>Peserta wajib mengetahui ruang ujian masing-masing sesuai undangan yang disampaikan melalui email.<\/li>\n<li>Peserta memakai pakaian sopan dan bersepatu.<\/li>\n<li>Peserta membawa tanda bukti diri asli, alat tulis, dan kalkulator.<\/li>\n<li>Peserta masuk ke ruang ujian tepat pukul 12.45 WIB dan duduk sesuai nomor seleksi.<\/li>\n<li>Barang selain perlengkapan ujian diletakkan di depan ruang ujian, alat komunikasi wajib dimatikan, dan makanan tidak diperbolehkan dibawa ke ruang ujian.<\/li>\n<li>Peserta tidak diperbolehkan membaca naskah ujian sebelum tanda mulai ujian diberikan.<\/li>\n<li>Peserta wajib memeriksa kelengkapan naskah ujian, mengisi identitas, nomor seleksi, dan tanda tangan pada lembar jawaban.<\/li>\n<li>Selama ujian berlangsung, peserta tidak diperbolehkan meninggalkan ruang ujian, saling meminjam alat tulis, berbicara, menggunakan catatan yang tidak diizinkan, atau melakukan kecurangan.<\/li>\n<li>Pelanggaran tata tertib dapat mengakibatkan berkas jawaban peserta tidak dinilai.<\/li>\n<\/ul>\n<\/div>\n<div class=\"selection-card\">\n<h5>Cakupan Topik Tes<\/h5>\n<ul>\n<li>Algoritma dan Struktur Data, meliputi pemrograman, struktur kendali, pemanggilan fungsi, dan array.<\/li>\n<li>Arsitektur Komputer dan Sistem Operasi, meliputi organisasi dan arsitektur komputer, sistem operasi, serta jaringan komputer.<\/li>\n<li>Matematika Diskrit, Probabilitas, dan Statistika, meliputi logika proposisi, kombinatorial, graf, kompleksitas algoritma, dan distribusi peluang diskrit.<\/li>\n<li>Basis Data dan Data Model, meliputi entity-relationship, skema relasional, normalisasi, dan SQL.<\/li>\n<\/ul>\n<\/div>\n<div class=\"selection-card selection-card-wide\">\n<h5>Jadwal dan Sifat Ujian<\/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>Algoritma dan Struktur Data<\/td>\n<td>Tutup buku. Bahasa pemrograman dapat dipilih: Pascal, C\/C++, Java, Fortran, atau Python.<\/td>\n<\/tr>\n<tr>\n<td>14.00-14.50<\/td>\n<td>Basis Data dan 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>Matematika Diskrit, Probabilitas, dan Statistika<\/td>\n<td>Open Note, 1 lembar A4, boleh ditulis bolak-balik, dan boleh menggunakan kalkulator fisik.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<p class=\"selection-note\">Jadwal ujian seleksi Semester I Tahun Akademik 2026\/2027 direncanakan pada <strong>Selasa, 7 Juli 2026, pukul 12.45-17.00 WIB<\/strong> di Labtek V (Gedung Benny Subianto) Lantai 2, Jalan Ganesha No. 10, Bandung. Ruangan mengikuti informasi pada undangan.<\/p>\n<p>Informasi lengkap mengenai tata tertib, jadwal, sifat ujian, cakupan topik, dan contoh soal dapat diakses melalui dokumen berikut: <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\">Seleksi Program Magister Berbasis Riset (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>Portofolio yang mencantumkan publikasi dalam 5 tahun, pengalaman penelitian selama 5 tahun, predikat kelulusan minimum IPK 3.0, pengalaman di institusi penelitian, dan riwayat hidup.<\/li>\n<li>Draft research proposal that has been discussed and approved by prospective supervisors from the Informatics Masters Study Program.<\/li>\n<li>Direkomendasikan oleh calon pembimbing. Rekomendasi calon pembimbing berisi penilaian berdasarkan hasil pengamatan terkait kualitas calon mahasiswa dan track riset calon mahasiswa. Pembimbing dapat merekomendasikan jika calon mahasiswa memiliki publikasi minimal makalah prosiding konferensi internasional, minimal memiliki konten riset pada tugas akhir S1, atau pengalaman riset yang dianggap lebih tinggi.<\/li>\n<\/ul>\n<\/li>\n<li>Ujian tulis khusus kompetensi dasar keilmuan Informatika. Hal ini sama seperti yang dilakukan pada jalur reguler. Khusus untuk MBR, ujian tulis dapat digunakan untuk mengonfirmasi predikat kelulusan yang dicapai saat S1.<\/li>\n<li>Wawancara, mencakup presentasi draft proposal riset:\n<ul class=\"custom-bullet detail-list\">\n<li>Tim wawancara minimal terdiri atas 3 orang, yaitu kaprodi atau yang mewakili, calon pembimbing, dan anggota tim seleksi.<\/li>\n<li>Wawancara menilai kesiapan mahasiswa melakukan penelitian mandiri, serta menentukan kelayakan mahasiswa mengikuti mata kuliah secara mandiri, terutama untuk mata kuliah wajib prodi.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>Calon mahasiswa dinyatakan lulus seleksi jalur MBR jika memenuhi syarat untuk lulus seleksi jalur reguler, yaitu TPA, TOEFL, latar belakang pendidikan Sains dan Teknik, serta tes tulis, memiliki draft proposal yang telah ditandatangani calon pembimbing, dan direkomendasikan oleh calon pembimbing. Peran pembimbing dalam proses seleksi sangat besar, terutama karena rekomendasi hanya dapat diberikan setelah mengevaluasi potensi calon mahasiswa berdasarkan portofolio dan pengamatan selama diskusi draft proposal riset.<\/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>Topik penelitian Tesis harus merupakan kelanjutan dari topik penelitian S1.<\/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>Program Penyatuan Sarjana Magister (PPSM) memiliki sasaran meningkatkan jumlah mahasiswa Program Sarjana ITB yang melanjutkan studi di Program Magister dengan masa studi sesuai target program integrasi. Hal ini dilakukan untuk mencapai salah satu target indikator Renstra ITB 2021\u20132025 yang ingin dicapai pada tahun 2025, yaitu persentase jumlah mahasiswa Pascasarjana sebesar 40%.<\/p>\n<p>Berdasarkan pemenuhan kompetensi dasar <em>computing<\/em>, terdapat skema umum atau penyatuan Sarjana\u2013Magister serumpun dan tidak serumpun dengan Program Studi Magister Informatika, yang dibagi dalam tiga kategori sebagai berikut:<\/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>. Evaluasi terhadap prodi di luar lingkungan STEI apakah termasuk dalam kategori semi-linier atau tidak linier akan dilakukan per kasus pada saat mahasiswa prodi S1 yang terkait mendaftar pada program ini.<\/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>Mahasiswa mengenali dan memahami konsep dan dasar struktur data.<\/li>\n<li>Mahasiswa mampu memakai paket struktur data yang tersedia.<\/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>Mahasiswa mampu melakukan pemodelan data skala kecil-menengah dengan menggunakan model <em>entity-relationship<\/em>.<\/li>\n<li>Mahasiswa mampu merancang skema dasar data relasional.<\/li>\n<li>Mahasiswa mampu mengimplementasikan sebuah basis data menggunakan DBMS relasional.<\/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>Mengetahui abstraksi sistem komputer, mencakup komponen, struktur, dan fungsi komputer.<\/li>\n<li>Memahami representasi data numerik dan non-numerik pada komputer.<\/li>\n<li>Memahami eksekusi instruksi pada Mesin Von Neumann.<\/li>\n<li>Dapat mengidentifikasi tipe teknologi memori dan prinsip-prinsip pengelolaan memori.<\/li>\n<li>Dapat menjelaskan penggunaan interupsi dalam implementasi <em>I\/O control<\/em> dan transfer data.<\/li>\n<li>Menjelaskan bagaimana sistem operasi mengelola hardware.<\/li>\n<\/ol>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Struktur Mata Kuliah Prodi Magister Informatika PPSM sebagai berikut.<\/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>Mahasiswa PPSM wajib melaksanakan TA\u2013Tesis berkelanjutan, yaitu pelaksanaan TA di program sarjana dan Tesis di program magister dengan topik yang berkelanjutan sehingga merupakan bagian dari pekerjaan\/penelitian di area yang sama. Berkaitan dengan kategori peserta program PPSM, aturan untuk melaksanakan TA\u2013Tesis berkelanjutan didefinisikan sebagai berikut:<\/p>\n<ol class=\"main-list\">\n<li><strong>Linear<\/strong>: mahasiswa wajib melaksanakan TA\u2013Tesis berkelanjutan dengan topik dan pembimbing yang sama.<\/li>\n<li><strong>Semi-linear<\/strong>: mahasiswa disarankan melaksanakan TA\u2013Tesis berkelanjutan dengan topik yang dimungkinkan bersifat multidisiplin dengan bidang program sarjana mahasiswa yang bersangkutan dan dengan tim pembimbing yang dapat berasal dari prodi sarjana mahasiswa yang bersangkutan dan dari Prodi Magister Informatika. Namun jika tidak, maka mahasiswa wajib melaksanakan TA dengan topik di bidang komputasi, walaupun tidak berkelanjutan dengan topik tesis di Prodi Magister Informatika dan dapat dilaksanakan dengan pembimbing yang berbeda.<\/li>\n<li><strong>Non-linear<\/strong>: mahasiswa disarankan melaksanakan TA\u2013Tesis berkelanjutan dengan topik yang dimungkinkan bersifat multidisiplin dengan bidang program sarjana mahasiswa yang bersangkutan dan dengan tim pembimbing yang dapat berasal dari prodi sarjana mahasiswa yang bersangkutan dan dari Prodi Magister Informatika. Namun jika tidak, maka mahasiswa disarankan mengambil topik TA di bidang komputasi, walaupun masih dimungkinkan untuk mengambil topik lain di luar bidang komputasi sesuai dengan bidang prodinya, sehingga dapat dilaksanakan dengan pembimbing yang berbeda dengan tesis.<\/li>\n<\/ol>\n<p>Rancangan pengelolaan TA\u2013Tesis berkelanjutan secara umum adalah sebagai berikut.<\/p>\n<ol class=\"main-list\">\n<li><strong>Supervisor requirements:<\/strong> TA\u2013Tesis berkelanjutan dilaksanakan dengan pembimbing yang sama baik untuk TA maupun Tesis. Jumlah maksimum pembimbing adalah 2 orang, baik untuk TA maupun Tesis. Jika pembimbing hanya 1 orang, maka pembimbing tersebut harus <em>eligible<\/em> sebagai pembimbing utama di prodi sarjana dan Prodi Magister Informatika. Jika pembimbing 2 orang, maka salah satu pembimbing harus <em>eligible<\/em> sebagai pembimbing utama di Prodi Magister Informatika dan aturan urutan pembimbing utama dan pendamping mengikuti aturan di prodi sarjana dan Prodi Magister Informatika. Daftar dosen pembimbing untuk Prodi Magister Informatika dapat diakses pada <a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1KMApdBzwAf66vavXLvbWtwuFAzf8VQc11YrWlkA3rG8\/edit?usp=sharing\" target=\"_blank\" rel=\"noopener\">Dosen Pembimbing Tesis Magister Informatika ITB<\/a>.<\/li>\n<li><strong>Topic requirements:<\/strong>\n<ul class=\"custom-bullet\">\n<li>Topik TA\u2013Tesis berkelanjutan harus berada dalam cakupan bidang komputasi.<\/li>\n<li>Topik TA\u2013Tesis berkelanjutan harus mempertimbangkan tingkat keilmuan dan kedalaman yang sesuai dan harus <strong>can be divided clearly<\/strong> target untuk proses TA di program sarjana dan target proses tesis di program magister.<\/li>\n<li>Topik TA\u2013Tesis berkelanjutan harus sesuai dengan jalur pilihan mahasiswa di Prodi Magister Informatika.<\/li>\n<li>Topik TA\u2013Tesis berkelanjutan dapat berasal dari para calon dosen pembimbing atau dari usulan mahasiswa. Jika usulan berasal dari mahasiswa, maka harus dikonsultasikan dan disetujui oleh pembimbing.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Student data collection:<\/strong> sebelum semester 7 pada program sarjana mahasiswa dimulai, tim implementasi PPSM mengadakan pertemuan dan sosialisasi dengan seluruh mahasiswa peserta program PPSM yang sudah waktunya mengambil TA pada semester 7. Mahasiswa diminta untuk menyerahkan perencanaan pengambilan TA\u2013Tesis untuk mendapatkan informasi tentang peserta-peserta yang akan mengambil TA\u2013Tesis berkelanjutan, terutama untuk mahasiswa dari kategori semi-linier dan non-linier.<\/li>\n<li><strong>Topic and supervisor allocation procedures:<\/strong>\n<ul class=\"custom-bullet\">\n<li>Untuk semua mahasiswa yang akan melaksanakan TA\u2013Tesis berkelanjutan, tim implementasi PPSM berkoordinasi dengan semua tim pelaksana TA di semua prodi mahasiswa terkait dan tim pelaksana tesis Prodi Magister Informatika untuk mengoordinasikan pengalokasian topik TA\u2013Tesis dan pembimbing untuk mahasiswa yang bersangkutan.<\/li>\n<li>Proses alokasi topik dan pembimbing TA\u2013Tesis dapat menjadi kasus khusus pada pengalokasian topik dan pembimbing TA di prodi sarjana mahasiswa, dan prosedurnya dapat disesuaikan dengan prosedur di prodi sarjana masing-masing dengan syarat memastikan bahwa syarat topik (lihat butir 2) dan pembimbing (lihat butir 1) terpenuhi.<\/li>\n<li>Setelah mahasiswa dialokasikan topik dan pembimbing, mahasiswa melaporkan proposal perencanaan TA\u2013Tesis berkelanjutan yang telah ditandatangani oleh mahasiswa dan pembimbing ke tim implementasi PPSM.<\/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. Pengambilan mata kuliah TA di prodi sarjana<\/strong>\n<ul class=\"custom-bullet\">\n<li>Asumsi: terdapat mata kuliah TA-I di semester 7 dan TA-II di semester 8 di setiap prodi sarjana.<\/li>\n<li>Mahasiswa melaksanakan TA\u2013Tesis berkelanjutan porsi untuk program sarjana dengan mengikuti prosedur pelaksanaan TA di prodi masing-masing, dengan catatan: dalam penyampaian proposal TA, harus dicakup juga topik dan perencanaan untuk sampai pelaksanaan tesis.<\/li>\n<li>Mahasiswa melakukan pengambilan mata kuliah TA-I pada semester 7. Seluruh atau sebagian proses alokasi topik dan pembimbing dapat dilakukan pada semester ini.<\/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>Catatan: dalam penyampaian proposal Tesis, harus disampaikan hasil-hasil dari TA yang akan dilanjutkan dalam Tesis.<\/p>\n<ol class=\"main-list\">\n<li>Selama pelaksanaan TA\u2013Tesis berkelanjutan, mahasiswa tidak diperkenankan berganti topik dan pembimbing, khususnya dari TA ke Tesis. Penggantian topik atau pembimbing dapat dilaksanakan dengan alasan kedaruratan tertentu dan mengikuti prosedur yang ditetapkan oleh Prodi Magister Informatika serta diketahui oleh tim implementasi PPSM.<\/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>Program Studi Magister Informatika Sekolah Teknik Elektro dan Informatika ITB melaksanakan <em>Double Degree Program<\/em> (DDP), bekerja sama dengan beberapa perguruan tinggi mitra di luar negeri. Mahasiswa peserta DDP dapat memperoleh gelar dari dua perguruan tinggi sekaligus, yaitu gelar ITB dan gelar dari perguruan tinggi mitra ITB di luar negeri.<\/p>\n<p>Mahasiswa dapat memulai dari Program Studi Magister Informatika ITB dan mengikuti perkuliahan di ITB pada tahun pertama sesuai kurikulum Magister Informatika ITB, lalu melanjutkan perkuliahan di perguruan tinggi mitra di luar negeri pada tahun kedua. Hal ini berlaku sebaliknya untuk mahasiswa dari perguruan tinggi mitra, yaitu tahun pertama mengikuti perkuliahan sesuai kurikulum di program studi universitas asal, lalu melanjutkan kuliah di ITB pada tahun kedua.<\/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>Pada saat ini, Program Studi Magister Informatika ITB menawarkan DDP dengan 4 perguruan tinggi mitra sebagai berikut:<\/p>\n<ol class=\"main-list\">\n<li><strong>Toyohashi University of Technology \u2013 Computer Science &amp; Engineering (Japan)<\/strong> DDP TUT\u2013ITB telah dimulai secara formal dengan <em>Agreement for Double Master\u2019s Degrees between Toyohashi University of Technology (TUT) and Institut Teknologi Bandung (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> Program ini sudah terdaftar pada beasiswa LPDP Program Double Degree.\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 Institut Teknologi Bandung (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\">Deteksi Penyakit Kanker Menggunakan Principal Component Analysis dan 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\">Analisis Opini Publik tentang Transportasi di Kota Bandung dan Jakarta pada Media Sosial Twitter dengan Model Bidirectional Encoder Representations from Transformers<\/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\">Pengembangan Sistem Prediksi Mahasiswa yang Berpotensi Dropout Menggunakan 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\">Optimasi Clustering dengan Variable Weighting K-Means dan Antlion Optimizer untuk Pengelompokkan Feeder 20 kV Berdasarkan Indeks Keandalan Sistem Distribusi Tenaga Listrik<\/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\">Operator Agregasi OLAP Cube pada Basis Data NoSQL Berorientasi Kolom Dengan Pendekatan Resilient Distributed Dataset<\/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\">Sistem Rekomendasi Produk pada E-commerce Menggunakan 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\">Sistem Deteksi Anomali pada Transaksi Perbankan menggunakan Model Pembelajaran Mesin Berbasis 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>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\">Pembelajaran Transfer dengan Post Training untuk Analisis Sentimen Berbasis Aspek Berbahasa 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>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\">Metode Resampling Bauran Menggunakan DBSCAN dan Particle Swarm Optimization (PSO) untuk Menangani Ketidakseimbangan Data pada Proses Klasifikasi<\/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\">Klasifikasi Mood Multilabel Berbasis Fitur Lirik Lagu Bahasa 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>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\">Ekstraksi Informasi Tabel Menggunakan Data Augmentation pada Deep Learning dan 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\">Analisis Semantic Textual Similarity antara Headline dan Content pada Deteksi Berita Clickbait menggunakan ColBERT dengan Arsitektur Siamese 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>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\">Analisis Statistik dan Model Prediksi Throughput pada Wireless Sensor Network Multimedia Menggunakan Pembelajaran Mesin Mendalam dengan Arsitektur 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>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\">Optimasi Arsitektur MAGNET dalam Klasifikasi Teks Multi-Label<\/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\">Peramalan Konsumsi Listrik Bulanan dengan Metode Hybrid ARIMA-RF dan Teknik Dekomposisi CEEMDAN-SSA<\/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\">Prediksi Angka Kasus Covid-19 Setelah Program Vaksinasi Menggunakan Model SEIVR dan 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\">Sistem Query by Humming Menggunakan Ekstraksi Melodi Frequency-Temporal Attention Network dan Modifikasi 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\">Pembelajaran Mesin Menggunakan Gabungan Model ARIMA dan LSTM Untuk Prediksi Kepadatan Lalu Lintas<\/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\">Klasifikasi dan Clustering untuk Mendapatkan Struktur Teks Laporan Masyarakat<\/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>Penerapan Algoritme Block Nested Loop Join Menggunakan Metode Server-Side Processing untuk Basis Data MongoDB pada Lingkungan yang Terdistribusi<\/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\">Klasifikasi Data Time Series Berbasis Latent Motif untuk Prediksi Cuaca Ekstrem<\/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 dengan Normalisasi Pembobotan pada Prediksi Pertumbuhan PDB Indonesia dengan 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\">Klasifikasi Teks Menggunakan XLNet dengan Proses Pelabelan Otomatis Infomap<\/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\">Pengamanan Pesan Pada Protokol MQTT-SN Berbasis Teknologi LoRa Menggunakan Skema Authenticated Encryption 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\">Sistem E-voting Berbasis Blockchain<\/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>Penerapan WOAmM pada Pelatihan FLANN untuk Meningkatkan Akurasi pada 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\">Perancangan Dan Implementasi Sistem QAR Untuk Pembelajaran Sejarah Dengan Teknologi Marker Based Augmented Reality<\/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\">Alat Bantu Identifikasi Permasalahan Kinerja I\/O Pada Aplikasi Berbasis Web<\/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\">Perancangan dan Implementasi Kakas Pembangkitan Diagram Arsitektur dari Deskriptor Sistem<\/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\">Penentuan Prioritas Kebutuhan Perangkat Lunak Dengan Metode Collaboration Value Oriented Prioritization<\/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\">Pengembangan Domain-Specific Languange Untuk Spesifikasi Smart Contract<\/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\">Penerapan Event Driven Architecture dalam Memenuhi Kebutuhan SLA Query Information DAN Query Transaction pada Studi Kasus Bulk Payment<\/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\">Gamifikasi Berbasis Personalized Learning untuk Menghasilkan Rekomendasi Jalur Belajar Ejaan Bahasa 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>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 pada Control Flow Testing dengan Metode 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>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 Dalam Heterogeneous IoT 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>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\">Studi Security Smell pada Aplikasi Berbahasa Java<\/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\">Pengembangan Kakas Bantu Deteksi Design Smell dengan Menggunakan 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\">Analisis Keterkaitan antara Code Review dan Bug dalam Software Release dengan Menggunakan Teknik Mining Software Repositories<\/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\">Perancangan Arsitektur Integrasi Aplikasi Menggunakan Service-Oriented Architecture Studi Kasus Pendaftaran Pelaku Usaha<\/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 dan RDB2FHIR: Bahasa dan Kakas untuk Memetakan Basis Data Relasional ke 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\">Studi Komparasi Estimasi Nilai Reproduction Number dari penyakit COVID-19 pada Model Kompartemen SIR Menggunakan Algoritma Kalman Filter dan Optuna untuk Tata Kelola Berbasis 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>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\">Pengembangan Model Pencari Pakar dengan Propagasi Nilai Graf dan Ekspansi Query Berbasis Semantik<\/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\">Model Pendeteksian Fraud pada Transaksi Keuangan Menggunakan Algoritma Least-Squares Support Vector Machine Probabilistik Berbasis Ekspektasi dan Kuantil dengan Data Simbolis<\/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\">Ekstraksi Tuple Opini Menggunakan Pendekatan Generatif Berbasis Model Bahasa Pra-latih untuk Analisis Sentimen Berbasis Aspek<\/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: Pengembangan Algoritma Heter-LP sebagai Solusi Link Prediction untuk Graf Heterogen Dinamis dengan Integrasi DTLPLP<\/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>Pengembangan Metode DTLPLP untuk Prediksi Link pada Network Heterogen Dinamis dengan Pendekatan Heter-LP<\/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\">Pembangkit Keterangan Gambar Dengan SeqGAN Menggunakan 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\">Studi Peningkatan Kecepatan Inferensi Model BERT pada CPU x86 Menggunakan 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\">Desain Integrasi Blockchain dan Metaverse Berbasis API untuk Layanan Publik (Studi Kasus: Pendataan Identitas Digital)<\/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\">Penelusuran Ketercapaian Sasaran Mutu Dalam Penerapan Sistem Manajemen Mutu (ISO 9001) Berbasis Blockchain<\/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 Mesin Turbin Uap pada Proses Pengolahan Kelapa Sawit dengan Pendekatan Konsep Digital Twin<\/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\">Pengembangan Model Penilaian Risiko Manajemen Proyek Aplikasi pada GX PMBOK Menggunakan Checklist Scenario Analysis dan Simple Additive Weighting (Studi Kasus: Pemerintah Daerah Kabupaten Bandung)<\/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\">Model Pemantauan Cerdas Carbon Footprint untuk Bangunan di Institut Teknologi Bandung Ganesha<\/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\">Penentuan Lokasi Ponsel Pintar di Dalam Ruangan Dengan Menggunakan 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\">Pengembangan Protokol Komunikasi Data Aman pada Sistem IoT dengan Skema Autentikasi Mutual Berbasis HMAC untuk Menjamin Integritas 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>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 untuk Optimasi Emisi Karbon dari Aktivitas Pembelajaran Mahasiswa (Studi Kasus: Institut Teknologi Bandung)<\/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\">Perancangan Model Central Bank Digital Currency (CBDC) Retail Sebagai Sistem Pembayaran<\/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\">Framework Implementasi Green IT pada Perguruan Tinggi (Studi Kasus: Institut Teknologi Bandung)<\/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\">Studi Metodologi Pemodelan Data untuk Basis Data Berorientasi Kolom<\/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\">Perancangan Tata Kelola Penanganan Pandemi COVID-19 di 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\">Optimalisasi Sistem Pemantauan Budidaya Jamur Tiram Melalui Implementasi Konsep Digital Twin<\/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\">Sistem Pendukung Keputusan Cerdas untuk Pengelolaan Peralatan Teknologi Informasi (Studi Kasus: Institut Teknologi Bandung)<\/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\">Prediksi Defect Perangkat Lunak Menggunakan SMOTE dan 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\">Pengembangan Model Tata Kelola AI di Perusahaan Berdasarkan Struktur Model CMMI (Studi Kasus: Bidang Kesehatan)<\/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\">Manajemen Service Level Agreement (SLA) menggunakan Smart Contract berbasis Blockchain Untuk Meningkatkan Kualitas Manajemen Layanan Teknologi Informasi<\/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\">Adaptasi Penerapan Layer-wise Adaptive Rate Scaling (LARS) Pada Model Pembelajaran Mesin Terdistribusi<\/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\">Pengembangan Abstract Meaning Representation Parser Lintas Bahasa Indonesia-Inggris dengan BART, Konkatenasi Input, dan Augmentasi 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 Farid Adilazuarda<\/strong><\/div>\n<div style=\"margin-top: 2px;\"><em>Pembangunan Metode LanguageFusion untuk Mengatasi Language Identification Bottleneck pada 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\">Klasifikasi Pelafalan Huruf Hijaiyah Sesuai Sanad Menggunakan Metode SVM, CNN dan LSTM<\/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\">Pembangkitan Abstract Meaning Representation Lintas Bahasa dari Kalimat Berbahasa 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>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\">Diarisasi Emosi pada Audio Percakapan Bahasa Indonesia Menggunakan Kode Peran Pembicara dan Model Hybrid RNN-CRF<\/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\">Peringkasan Otomatis Berita Berbahasa Indonesia Dengan 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 dengan Menggunakan Ekstraksi Melodi Berbasis DNN-LSTM dan Filtrasi Derau<\/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\">Abstraksi Kluster dengan Graph Reduced Summarization terhadap Hasil Pencarian Kata Kunci Berbasis Metode Klustree<\/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>Prediksi Resiko White Spot Syndrome Virus pada Udang Vannamei dengan Pendekatan Machine Learning dan Expert Knowledge<\/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\">Pemanfaatan Shallow Learning untuk Klasifikasi COVID-19 Berdasarkan Suara Batuk<\/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\">Sistem Text To Speech Untuk Gangguan Bicara Disfonia Menggunakan Arsitektur Adversarial Networks Dengan Pendekatan Kloning Suara<\/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\">Ekstraksi Kejadian Biomedis Menggunakan Klasifikasi Multi-Label dan BERT Pra-Latih<\/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\">Pengembangan Model Akustik Menggunakan DNN Berbasis Chain Model Pada Sistem Pengenal Ucapan (Studi Kasus: Percakapan Kedokteran Gigi)<\/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\">Penyelesaian Coreference Resolution Bahasa Indonesia Menggunakan Arsitektur Word Level Coreference Resolution<\/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\">Implementasi Agen Reinforcement Learning Untuk Permainan Video Strategi Berbasis Giliran<\/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\">Verifikasi Unanswerable Question pada Sistem Question Answering Menggunakan Sentence-BERT dan 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\">Prediksi Performa Akademik dan Waktu Kelulusan Mahasiswa Menggunakan LSTM dan 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\">Analisis Sentimen pada Bahasa Sunda Menggunakan Pre-trained Language Model Multi Bahasa<\/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\">Implementasi Reinforcement Learning dengan Pendekatan Komputasi Kuantum<\/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\">Adopsi Knowledge Distillation dan Siamese Network Dalam Segmentasi Semantik Berbasis 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\">Sistem Rekomendasi Paper Menggunakan Pendekatan Hybrid untuk Mengatasi 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\">Pembangkitan Teks Judul Spesifik untuk Gambar Produk Menggunakan Atribut Semantik<\/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\">Model Akustik mGRUIP dengan Temporal Convolution pada Sistem Pengenalan Suara untuk Evaluasi Bacaan Alquran<\/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 dengan Text Encoder Sentence-Bert dan Reinforcement Learning untuk Teks Bahasa 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>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\">Aplikasi Pengenalan Aktivitas Manusia Sebagai Sistem Pendeteksi Kekerasan Fisik<\/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\">Membangkitkan Gambar Dari Teks Deskripsi Bahasa Indonesia Menggunakan 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 Dengan Text Augmentation dan Transformer. Studi Kasus: Data Pariwisata<\/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\">Klasifikasi Multi-Label Pada Pemrosesan Teks Menggunakan Arsitektur Transformer Dengan Pendekatan Multi-Task 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>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 Prosodi dan Emosi untuk Sistem Text to Speech Bahasa 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>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\">Penerapan Pelabelan Sekuensial dan DNABERT untuk Memprediksi Splice Sites pada DNA Homo Sapiens<\/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\">Model Deep Learning Untuk Prediksi Curah Hujan Ekstrim Dengan Memanfaatkan Data Satelit Himawari dan Data Model Rapidly Development Cumulus Area (RDCA)<\/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 Menggunakan Generative Adversarial Network Untuk Mengatasi Permasalahan Imbalance Pada Kasus Klasifikasi X-Ray Dada<\/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\">Kategorisasi Aspek Tanpa Supervisi Untuk Analisis Sentimen Menggunakan Aspect Embedding dan 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\">Penerapan Word Embeddings dan UMAP Untuk Meningkatkan Kinerja HDBSCAN Pada Clustering Teks Pendek<\/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\">Estimasi Kalori pada Jajanan Pasar di Indonesia Menggunakan Mask R-CNN dan Regresi Linear Berganda<\/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\">Penerapan Sentence-BERT untuk Meningkatkan Kinerja Peringkasan Teks Ekstraktif Berbasis 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 dan Few-shot Learning Pada Klasifikasi Teks Domain Bahasa 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>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\">Pembelajaran Transfer dan Representasi Berbasis Span untuk Ekstraksi Triplet Opini untuk Analisis Sentimen Berbasis Aspek<\/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\">Pengenalan Objek Berbahaya Berbasis Kemiripan Menggunakan Siamese Network Pada Pemeriksaan X-Ray Bagasi<\/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\">Sistem Pengenal Suara Untuk Bahasa Indonesia Menggunakan Transfer Learning Berbasis Wav2Vec2 Pada Beberapa Domain Spesifik<\/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\">Deteksi Dini Penderita Depresi Melalui Teks Berbahasa Indonesia dengan Transfer Learning dan Fitur Metadata Linguistik<\/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\">Verifikasi Wajah 3D dari Gambar Tunggal Beresolusi Rendah Berdasarkan Eksploitasi Deep Convolutional Feature<\/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\">Peningkatan Performansi Algoritma Virus Colony Search Pada Permasalahan Travelling 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\">Implementasi Algoritma Fuzzy Topsis untuk Penjadwalan dan Sebaran Penerima Bantuan BST Di Kota Bandung Pada Masa Pandemi<\/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\">Platform Deteksi Penyakit Daun Berbasis Komputasi Tepi Pada Sistem Multimedia IoT<\/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\">Pengembangan Sistem Pelacakan Wajah Berbasis Mean-Shift dengan Optimasi Locust Search Algorithm<\/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\">Perancangan Kerangka Kerja Evaluasi Game Edukasi Berdasarkan Mekanik Game<\/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\">Pembelajaran Berbasis Aplikasi Gawai Bergamifikasi dalam Belajar Membaca Al-Qur&#8217;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\">Penggunaan Teknologi Mixed Reality dengan Pemrosesan Sinyal Audio dalam Melatih dan Meningkatkan Motivasi Pembelajaran Alat Musik Tuts<\/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\">SK Unggul 2022<\/a><\/li>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/1YvD_AOE8cTir5yoaVLk6K4PWwrncPent\/view?usp=sharing\">SK Unggul<\/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\/Gedung Achmad Bakrie, 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":61,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages\/10697\/revisions"}],"predecessor-version":[{"id":30246,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages\/10697\/revisions\/30246"}],"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}]}}