Master Program of Informatics

Students in the Computer Science (CS) track are expected to develop research-based knowledge and technology in the field of Informatics by designing and developing algorithms or computational theories that can address current and real-world problems.

Compulsory courses for the Computer Science (CS) track:

No	Code	Matakuliah	Credits	P
1	IF5110	Algorithm Design Review basic concepts of algorithms: time complexity, data structures, heaps & disjoint sets data structures Techniques based on recursion: induction, divide & conquer, dynamic programming First cut techniques: greedy, graph traversal Complexity of problems: NP-complete problems, computational complexity, lower bounds Coping with hardness: backtracking, randomized algorithms, approximation algorithm Iterative improvement for domain-specific problems: network flow, matching Techniques in Computational Geometry: Geometric sweeping,Voronoi diagrams	3	0
2	IF5111	Mathematics for Computer Science Proofs Structures Counting Statistics and Probability Recurrences Algorithm complexity	3	0
3	IF5210	Compiler Design Lexical analysis Syntax analysis Scopes and symbol tables Interpretation Type checking Intermediate code generation Machine code generation Register allocation Functions Data flow analysis and optimisation Optimisation for loops	3	0
4	IF5112	Advanced Distributed Systems Model sistem terdistribusi Failure detectors reliable delivery atomic & reliable broadcast shared memory model consensus Distributed commitment protocol & atomic transactions Group membership View synchrony Cloud computing & virtualization Distributed ledger & blockchain	3	0

Students in the Software Engineering (SE) track are expected to develop research-based knowledge and technology in the field of Informatics by designing and developing large-scale software products that are reliable, innovative, and maintainable.

Compulsory courses for the Software Engineering (SE) track:

No	Code	Matakuliah	Credits	P
1	IF5120	Software Requirement Engineering Fundamentals of software requirements Requirements engineering process Requirements elicitation Requirements analysis Requirements specification Requirements validation Practical considerations	3	0
2	IF5121	Software Design Fundamentals of software design Software architecture Design patterns User interface design Analysis and evaluation of software design quality Software design notations Software design strategies and methods Software design tools	3	0
3	IF5220	Software Quality Fundamentals of software quality Software quality management process Practical considerations Software quality tools Fundamentals of software testing Levels of testing Testing techniques Testing-related metrics Testing process Software testing tools Specification languages Program refinement and derivation Verifikasi Formal Logical inference	3	0
4	IF5221	Software Product Innovation Introduction to software product innovation Topic and problem identification Market needs identification and analysis System requirements identification and analysis Requirements modeling Software product and quality planning Commercialization planning Proposal presentation Software product development implementation Presentation and demo	1	3
5	IF6120	Software Evolution SCM process management Software configuration identification Software configuration control Software configuration status Software configuration audit Software release management and delivery SCM tools Fundamentals of software maintenance Issues in software maintenance Software maintenance process Software maintenance techniques Software maintenance tools	3	0

Students in the Media and Mobile Technology (MMT) track are expected to develop research-based knowledge and technology in the field of Informatics by designing and developing concepts, architectures, and technologies for media and mobile devices, as well as developing applications for media and mobile devices using principles of human-computer interaction and proper software engineering methodologies.

Compulsory courses for the Media and Mobile Technology (MMT) track:

No	Code	Matakuliah	Credits	P
1	IF5130	Software Engineering for Game Domain Software engineering for the game domain Game design Game engine architecture Game testing Game analytics Ethics in game development	3	0
2	IF5131	Multimedia Data Processing and Management Introduction to multimedia data and applications Review of signal processing (Discrete Fourier Transform and Fast Fourier Transform) Review of multimedia data representation Automated analysis of multimedia data (preprocessing, feature extraction, recognition, and similarity retrieval) Multimedia data management and indexing methods Case studies of multimedia data-based applications	3	0
3	IF5230	Mobile Technology and Application Introduction to mobile devices Activities in mobile application development (requirements analysis, design principles and patterns, user interface (UI) design, technology implementation, testing, and quality)	3	0
4	IF6130	Interactive Media Technology & Application Introduction to interactive media Introduction to games (concepts, design, process) Gameplay Game production The art of game design Game implementation	3	0

Students in the Data Science (DS) track are expected to develop research-based knowledge and technology in the field of Informatics by designing and developing the management, processing, and interpretation of large and complex datasets for the extraction of important information and knowledge.

Compulsory courses for the Data Science (DS) track:

No	Code	Matakuliah	Credits	P
1	IF5140	Machine Learning Introduction to Machine Learning Supervised Learning Neural Networks Learning Theory Unsupervised Learning Reinforcement Learning	2	0
2	IF5141	Data Mining Process models for data mining (CRISP-DM) Basic concepts of data, statistics, and data visualization; measurement; and data pre-processing Basic techniques in pattern mining for frequent patterns, associations, and correlations Recall: Classification and cluster analysis using machine learning techniques Overview of advanced machine learning techniques for various types of data Data mining model evaluation Deployment of data mining models Case study on building a machine learning model for a specific problem/organization: business understanding, data understanding, data preparation, model building, model evaluation, deployment	3	1
3	IF5240	Business Intelligence and Analytics Fundamental concepts of business intelligence and business analytics: data, statistical models, decision-making, and decision support systems Management and operations of business analytics: business processes and operations, planning and control, requirements analysis and design, solution evaluation Data warehousing: concepts of data warehousing, data integration, data warehouse development, business analytics using data warehouses, data visualization Data warehouse technologies: platforms and tools for data warehousing, data integration, reporting, and visualization Business analytics using data mining techniques Case study on system development using a business intelligence approach and utilizing business analytics	3	1
4	IF5241	Big Data System Fundamental concepts of big data 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 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 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	3	0
5	IF6097	Industrial Internship Method implementation Scientific report writing	3	0

Students in the Artificial Intelligence (AI) track are expected to develop research-based knowledge and technology in the field of Informatics by designing and developing concepts, technologies, and applications of artificial intelligence, including appropriate tools as effective and efficient AI solutions.

Compulsory courses for the Artificial Intelligence (AI) track:

No	Code	Matakuliah	Credits	P
1	IF5150	Advanced Artificial Intelligence Introduction and History of AI - Topics: Introduction to AI and its historical development, Basic concepts of AI Intelligent Agent - Topics: Concepts and architecture of intelligent agents, Implementation of intelligent agents Decision Making - Topics: Decision-making techniques in AI, Decision-making models Heuristic Algorithms - Topics: Concepts and applications of heuristic algorithms, Heuristic search techniques Descriptive, Propositional, and Predicate Logic - Topics: Descriptive, propositional, and predicate logic, Applications of logic in AI Answer Set and Ontology - Topics: Concepts of answer set, Ontology and its applications in AI Linked Data, Semantic Web, and Probabilistic Networks - Topics: Linked data and the semantic web, Bayesian networks and Markov decision networks	3	0
2	IF5151	Mathematics for Artificial Intelligence Introduction to Mathematics for Machine Learning Linear Algebra Calculus Statistics and Probability Optimization Methods Applied Mathematics for Machine Learning	3	0
3	IF5250	Deep Learning Introduction to Deep Learning Fundamentals of Neural Networks Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) and LSTM Optimization and Regularization Techniques Deep Learning Applications	3	1
4	IF5251	Artificial Intelligence in Production Introduction to AI in Production – Challenges and considerations in deploying AI to production, Overview of MLOps and the model development lifecycle, Differences between development and production environments Data Management – Data collection, labeling, and storage, Data processing and feature engineering, Data versioning and lineage Model Development and Training – Algorithm and model architecture selection, Experimentation and model tracking, Distributed training and hardware acceleration Model Evaluation and Validation – Evaluation metrics and cross-validation, Error analysis and model interpretability, Data testing and validation Model Deployment – Deployment strategies (shadow, canary, blue-green), Containerization and orchestration, Scaling and performance optimization Model Monitoring and Supervision – Monitoring metrics and dashboards, Anomaly and data drift detection, Monitoring data integrity and model quality Security and Privacy – Adversarial attacks and defenses, Data encryption and anonymization, Security audits and compliance Ethical and Legal Considerations – Bias and fairness in AI, Transparency and accountability, Regulations and industry standards Case Studies and Industrial Applications – Case studies of AI implementation across industries, Best practices and lessons learned, Trends and future directions	3	0
5	IIF6150	Trustworthy Artificial Intelligence Introduction to Trustworthy AI – Topics: Introduction to the concept of Trustworthy AI, The importance of transparency, fairness, and robustness in AI Explainable AI (X-AI) – Concepts and Methods – Topics: Basic concepts of explainable AI, Methods for AI model interpretability Interpretability and Explanation Evaluation – Topics: Techniques for interpretability evaluation, Case studies on explainable AI applications Fairness in AI – Concepts and Challenges – Topics: Concepts of fairness in AI, Challenges in detecting and mitigating bias Techniques for Fairness in AI – Topics: Techniques for detecting bias, Methods for mitigating bias in AI models Robustness in AI – Concepts and Methods – Topics: Concepts of robustness in AI, Techniques to improve model robustness Ethical and Legal Considerations in AI – Topics: Ethical considerations in AI development, Legal implications of fairness and robustness in AI Final Project and Presentation – Topics: Implementation of innovative projects in Trustworthy AI, Project documentation and presentation, Evaluation and discussion of project results	3	0
6	IF6151	Artificial Intelligence Individual Project Current topics in Artificial Intelligence issues	3	0

Students in the Cybersecurity (CSec) track are expected to develop research-based knowledge and technology in the field of Informatics, particularly in the development, operation, and testing of cybersecurity systems.

Compulsory courses for the Cybersecurity (CSec) track:

No	Code	Matakuliah	Credits	P
1	IF5161	Data and Software Security Overview on Traffic, Vulnerability and Malware Analysis Access Control Enhancement to deal with malicious and buggy software Usable Integrity Protection User Authentication Virtual Private Databases Overview of Public-Key Cryptography Preventing SQL Injection Attacks Vulnerability Assessment and Management Code Inspection for Finding Security Vulnerabilities and Exposures Architectural Risk Analysis Penetration Testing, Concolic Testing Risk-Based Security Testing and Verification Withstanding adversarial tactics and techniques	3	0
2	IF6160	System Security & Privacy Cybersecurity and privacy regulations Security Building Block Cyber-Physical System Engineering Management & Incident Legal Issues & Ethics Malware	3	0
3	IF5260	Digital Forensics Introduction to Digital Forensics Computer crime and Legal issues Digital forensic tools Investigatory process Analysis of evidence Presentation of results	3	0
4	IF5160	Cybersecurity Operations Security concepts in organizations Network security Security operations Threat hunting	3	0
5	IF6161	Cybersecurity Individual Project Current topics in cybersecurity issues	3	0

Students in the Information Systems (IS) track are expected to develop research-based knowledge and technology in the field of Informatics by designing and developing Information Systems governance at the enterprise level to maximize system potential and minimize risks through the efficient use of Information Technology resources.

Compulsory courses for the Information Systems (IS) track:

No	Code	Matakuliah	Credits	P
1	IF5170	Digital Strategy Strategic thinking Predicting the direction of IT development Information technology adoption Change management and policy development Management and governance IT governance model Maturity and capability maturity models	3	0
2	IF5171	System Thinking Philosophy of systems Basic principles of systems Sociocultural systems Development Systems methodology Operational thinking Design thinking	3	0
3	IF5270	Applied Artificial Intelligence for Enterprise Artificial Intelligence Business Value of AI Leveraging Business Value Chain Development Methodology: CRISP-DM	3	1
4	IF5271	Information System Sustainability Sustainability concepts Regulations Green in OS Green by IS Product longevity Data center Design Software Optimization Power Management Material Recycling	3	0
5	IF6170	Data Governance Information and the role of data for organizations Data principles Data policies and procedures Data organizational structure Data privacy Data sharing Data Protection	3	0

Students in the Information Technology (IT) track are expected to develop research-based knowledge and technology in the field of Informatics by designing and developing the analysis, modeling, design, construction, and advancement of information technology-based systems.

Compulsory courses for the Information Technology (IT) track:

No	Code	Matakuliah	Credits	P
1	IF5180	Digital Twin Technology Digital Twin Concept Digital Twin Framework Data Acquisition & Capturing Data Processing & Analytics Modelling & Simulation Data Visualization User Interaction Digital Twin Development	3	0
2	IF5181	Information Technology Platform Fundamental concepts and key components of Information Technology platforms Business needs analysis and methods for selecting appropriate IT platforms System integration Security and scalability	3	0
3	IF5280	Digital Security, Privacy, and Forensics Reference models and principles of digital security Digital security vulnerabilities Digital threats and attacks Defensive and offensive digital security engineering Digital privacy requirements and regulations Implementation of digital privacy compliance Reactive digital forensics Proactive digital forensics	3	0
4	IF6180	Digital Transformation and Enterprise Architecture Basic Concepts and Relationship between Digital Transformation, Enterprise Architecture (EA), and Smart System Digital Transformation and It’s Frameworks Enterprise Architecture and It’s Frameworks Design Transformation Strategy and Plan Aligning Enterprise Architecture with Transformation Plan Design aligned Enterprise Architecture Case Studies	3	0

Wisudawan Program Magister Informatika, Oktober 2023

No.	Student Identification Number (NIM)	NAMA	Jalur Pilihan	Thesis Poster
1	23519014	Fakhri Aunurrahim	Software engineering	Penerapan WOAmM pada Pelatihan FLANN untuk Meningkatkan Akurasi pada Software Effort Estimation
2	23519016	Iswahyudi	Software engineering	Alat Bantu Identifikasi Permasalahan Kinerja I/O Pada Aplikasi Berbasis Web
3	23519031	Raden Alf Fajrus Shuluh	Business Intelligence	Penerapan Algoritme Block Nested Loop Join Menggunakan Metode Server-Side Processing untuk Basis Data MongoDB pada Lingkungan yang Terdistribusi
4	23520016	Rossevine Artha Nathasya	Intelligence System	Sistem Pengenal Suara Untuk Bahasa Indonesia Menggunakan Transfer Learning Berbasis Wav2Vec2 Pada Beberapa Domain Spesifik
5	23520028	Ratih Aflita Rahmawati	Business Intelligence	Klasifikasi Data Time Series Berbasis Latent Motif untuk Prediksi Cuaca Ekstrem
6	23520030	Daniel Tanta Christopher Sirait	Business Intelligence	Deteksi Penyakit Kanker Menggunakan Principal Component Analysis dan Long-Short Term Memory
7	23520034	Gabriel Jonathan	Intelligence System	Implementasi Agen Reinforcement Learning Untuk Permainan Video Strategi Berbasis Giliran
8	23520052	Raden Haryo Pandu Prakoso	Information Systems	Studi Metodologi Pemodelan Data untuk Basis Data Berorientasi Kolom
9	23521004	Ricky Yuliawan	Media Technology and Mobile Devices	Rancang Bangun Aplikasi Gawai OpenCourseWare Menggunakan Pendekatan Player-Centered Design
10	23521009	Muhammad Ikhsan	Software engineering	Path Selection Prioritization pada Control Flow Testing dengan Metode Clustering
11	23521011	Dionisius Pratama	Business Intelligence	Analisis Opini Publik tentang Transportasi di Kota Bandung dan Jakarta pada Media Sosial Twitter dengan Model Bidirectional Encoder Representations from Transformers
12	23521020	Zalina Fatima Azzahra	Information Systems	Manajemen Service Level Agreement (SLA) menggunakan Smart Contract berbasis Blockchain Untuk Meningkatkan Kualitas Manajemen Layanan Teknologi Informasi
13	23521024	Ihsan Fauzi	Business Intelligence	Metode Resampling Bauran Menggunakan DBSCAN dan Particle Swarm Optimization (PSO) untuk Menangani Ketidakseimbangan Data pada Proses Klasifikasi
14	23521025	Vincent Joel Sinatra	Software engineering	Analisis Keterkaitan antara Code Review dan Bug dalam Software Release dengan Menggunakan Teknik Mining Software Repositories
15	23521027	Kadek Denaya Rahadika Diana	Intelligence System	Extractive Summarization dengan Text Encoder Sentence-Bert dan Reinforcement Learning untuk Teks Bahasa Indonesia
16	23521030	Dhiya Ulhaq Dewangga	Intelligence System	Sistem Text To Speech Untuk Gangguan Bicara Disfonia Menggunakan Arsitektur Adversarial Networks Dengan Pendekatan Kloning Suara
17	23521049	Faisal Ridwan Siregar	Media Technology and Mobile Devices	Pembelajaran Berbasis Aplikasi Gawai Bergamifikasi dalam Belajar Membaca Al-Qur'an
18	23521050	Ginanjar Septian Adhitia	Business Intelligence	Operator Agregasi OLAP Cube pada Basis Data NoSQL Berorientasi Kolom Dengan Pendekatan Resilient Distributed Dataset
19	23521054	Muhammad Fadhlan Putranto	Intelligence System	Model Deep Learning Untuk Prediksi Curah Hujan Ekstrim Dengan Memanfaatkan Data Satelit Himawari dan Data Model Rapidly Development Cumulus Area (RDCA)
20	23521063	Anranur Uwaisy Marchiningrum	Information Systems	Predictive Maintenance Mesin Turbin Uap pada Proses Pengolahan Kelapa Sawit dengan Pendekatan Konsep Digital Twin
21	23521071	Insan Ganang Putranda	Media Technology and Mobile Devices	Penggunaan Teknologi Mixed Reality dengan Pemrosesan Sinyal Audio dalam Melatih dan Meningkatkan Motivasi Pembelajaran Alat Musik Tuts
22	23521072	Ahmad Tarmizan Kusuma	Information Systems	Desain Integrasi Blockchain dan Metaverse Berbasis API untuk Layanan Publik (Studi Kasus: Pendataan Identitas Digital)
23	23521079	Nima Rohmalia	Information Systems	Perancangan Model Central Bank Digital Currency (CBDC) Retail Sebagai Sistem Pembayaran
24	23521083	Wawan Indrawan Madda	Software engineering	RDB2OL dan RDB2FHIR: Bahasa dan Kakas untuk Memetakan Basis Data Relasional ke Fast Healthcare Interoperability Resources
25	23521090	Syfa Nur Lathifah	Information Systems	Optimalisasi Sistem Pemantauan Budidaya Jamur Tiram Melalui Implementasi Konsep Digital Twin
26	23521093	Mochammad Farrell	Software engineering	Penerapan Event Driven Architecture dalam Memenuhi Kebutuhan SLA Query Information DAN Query Transaction pada Studi Kasus Bulk Payment
27	23521094	Muhammad Harun	Software engineering	Gamifikasi Berbasis Personalized Learning untuk Menghasilkan Rekomendasi Jalur Belajar Ejaan Bahasa Indonesia
28	23521095	Jatmiko Herjati	Software engineering	Perancangan dan Implementasi Kakas Pembangkitan Diagram Arsitektur dari Deskriptor Sistem
29	23522006	Radhinansyah Hemsa Ghaida	Data Science and Artificial Intelligence	Pengembangan Metode DTLPLP untuk Prediksi Link pada Network Heterogen Dinamis dengan Pendekatan Heter-LP
30	23522011	Michael Hans	Information Systems	Predictive Analytics untuk Optimasi Emisi Karbon dari Aktivitas Pembelajaran Mahasiswa (Studi Kasus: Institut Teknologi Bandung)
31	23522012	Anindya Prameswari Ekaputri	Data Science and Artificial Intelligence	Pengembangan Model Pencari Pakar dengan Propagasi Nilai Graf dan Ekspansi Query Berbasis Semantik
32	23522013	Hollyana Puteri Haryono	Data Science and Artificial Intelligence	Dynamic Heter-LP: Pengembangan Algoritma Heter-LP sebagai Solusi Link Prediction untuk Graf Heterogen Dinamis dengan Integrasi DTLPLP
33	23522015	Adriel Gustino Parlinggoman Situmorang	Data Science and Artificial Intelligence	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
34	23522018	Patrick Segara	Information Systems	Framework Implementasi Green IT pada Perguruan Tinggi (Studi Kasus: Institut Teknologi Bandung)
35	23522020	Danendra Athallariq Harya Putra	Data Science and Artificial Intelligence	Ekstraksi Tuple Opini Menggunakan Pendekatan Generatif Berbasis Model Bahasa Pra-latih untuk Analisis Sentimen Berbasis Aspek
36	23522023	Christovito Hidajat	Data Science and Artificial Intelligence	Model Pendeteksian Fraud pada Transaksi Keuangan Menggunakan Algoritma Least-Squares Support Vector Machine Probabilistik Berbasis Ekspektasi dan Kuantil dengan Data Simbolis
37	23522043	Vhydie Gilang Christianto The	Information Systems	Sistem Pendukung Keputusan Cerdas untuk Pengelolaan Peralatan Teknologi Informasi (Studi Kasus: Institut Teknologi Bandung)
38	23522044	Byan Sakura Kireyna Aji	Information Systems	Model Pemantauan Cerdas Carbon Footprint untuk Bangunan di Institut Teknologi Bandung Ganesha
39	23522045	Muhammad Farid Adilazuarda	Intelligence System	Pembangunan Metode LanguageFusion untuk Mengatasi Language Identification Bottleneck pada Modular Multilingual Language Models

 

Wisudawan Program Magister Informatika, Juli 2023

No.	Student Identification Number (NIM)	Name	Jalur Pilihan	Thesis Poster
1	23521017	Hilmi Aziz Bukhori	Business Intelligence	Sistem Deteksi Anomali pada Transaksi Perbankan menggunakan Model Pembelajaran Mesin Berbasis Graph Neural Network
2	23521023	Dimmas Mulya	Intelligence System	Ekstraksi Kejadian Biomedis Menggunakan Klasifikasi Multi-Label dan BERT Pra-Latih
3	23521028	Rizal Kusuma Putra	Intelligence System	Pengenalan Objek Berbahaya Berbasis Kemiripan Menggunakan Siamese Network Pada Pemeriksaan X-Ray Bagasi
4	23521077	Muhammad Faris Muzakki	Intelligence System	Image Synthesis Menggunakan Generative Adversarial Network Untuk Mengatasi Permasalahan Imbalance Pada Kasus Klasifikasi X-Ray Dada
5	23521085	Aaz Muhammad Hafidz Azis	Intelligence System	Klasifikasi Pelafalan Huruf Hijaiyah Sesuai Sanad Menggunakan Metode SVM, CNN dan LSTM
6	23522007	Moch. Nafkhan Alzamzami	Intelligence System	Pengembangan Abstract Meaning Representation Parser Lintas Bahasa Indonesia-Inggris dengan BART, Konkatenasi Input, dan Augmentasi Data
7	23522033	Ilham Syahid Syamsudin	Intelligence System	Adaptasi Penerapan Layer-wise Adaptive Rate Scaling (LARS) Pada Model Pembelajaran Mesin Terdistribusi

 

Wisudawan Program Magister Informatika, April 2023

No.	Student Identification Number (NIM)	Name	Jalur Pilihan	Thesis Poster
1	23520009	Arian Nurrifqhi	Information Systems	Pengembangan Model Penilaian Risiko Manajemen Proyek Aplikasi pada GX PMBOK Menggunakan Checklist Scenario Analysis dan Simple Additive Weighting (Studi Kasus: Pemerintah Daerah Kabupaten Bandung)
2	23520013	Faishol Muzaky Dwi Putra	Information Systems	Penentuan Lokasi Ponsel Pintar di Dalam Ruangan Dengan Menggunakan WLAN
3	23520029	Safara Cathasa Riverinda Rijadi	Information Systems	Perancangan Tata Kelola Penanganan Pandemi COVID-19 di Indonesia
4	23520050	Muhammad Anwari Leksono	Intelligence System	Penerapan Pelabelan Sekuensial dan DNABERT untuk Memprediksi Splice Sites pada DNA Homo Sapiens
5	23521006	Muhammad Isfan Rahadi	Business Intelligence	Prediksi Angka Kasus Covid-19 Setelah Program Vaksinasi Menggunakan Model SEIVR dan Latin Hypercube Sampling
6	23521021	Miftahul Mahfuzh	Intelligence System	Klasifikasi Multi-Label Pada Pemrosesan Teks Menggunakan Arsitektur Transformer Dengan Pendekatan Multi-Task Learning
7	23521062	Anggastya Diah Andita H.P	Information Systems	Penelusuran Ketercapaian Sasaran Mutu Dalam Penerapan Sistem Manajemen Mutu (ISO 9001) Berbasis Blockchain

 

Wisudawan Program Magister Informatika, Oktober 2022

No.	Student Identification Number (NIM)	Name	Jalur Pilihan	Thesis Poster
1	23520001	Muhammad Ulfi	Business Intelligence	Sistem Query by Humming Menggunakan Ekstraksi Melodi Frequency-Temporal Attention Network dan Modifikasi Unified Algorithm
2	23520002	Yusuf Luthfi Ramdhani	Information Systems	Pengembangan Model Tata Kelola AI di Perusahaan Berdasarkan Struktur Model CMMI (Studi Kasus: Bidang Kesehatan)
3	23520007	Labib Izzatur Rahman	Software engineering	Pengembangan Domain-Specific Languange Untuk Spesifikasi Smart Contract
4	23520012	Fairuz Astra Pratama	Intelligence System	Pembuatan Wang Tiles Otomatis Menggunakan Pendekatan Parametrik
5	23520014	Josua Crishan Mintamanis	Business Intelligence	Analisis Semantic Textual Similarity antara Headline dan Content pada Deteksi Berita Clickbait menggunakan ColBERT dengan Arsitektur Siamese Network
6	23520017	Widya Puteri Aulia	Intelligence System	Deteksi Dini Penderita Depresi Melalui Teks Berbahasa Indonesia dengan Transfer Learning dan Fitur Metadata Linguistik
7	23520026	Walim Abdul Somad	Software engineering	Perancangan Arsitektur Integrasi Aplikasi Menggunakan Service-Oriented Architecture Studi Kasus Pendaftaran Pelaku Usaha
8	23520047	Harits Abdurrohman	Intelligence System	Adopsi Knowledge Distillation dan Siamese Network Dalam Segmentasi Semantik Berbasis Semi-Supervised Learning
9	23521005	Rayza Mahendra Guntara Harsono	Intelligence System	Zero-shot dan Few-shot Learning Pada Klasifikasi Teks Domain Bahasa Indonesia
10	23521014	Firdausi Aditya Darmawan	Business Intelligence	Pengembangan Sistem Prediksi Mahasiswa yang Berpotensi Dropout Menggunakan Data Mining
11	23521052	Moch Azhar Dhiaulhaq	Intelligence System	Post-Control Prosodi dan Emosi untuk Sistem Text to Speech Bahasa Indonesia
12	23521067	Aisyah Nurul Izzah Adma	Intelligence System	Diarisasi Emosi pada Audio Percakapan Bahasa Indonesia Menggunakan Kode Peran Pembicara dan Model Hybrid RNN-CRF

 

Wisudawan Program Magister Informatika, Juli 2022

No	Student Identification Number (NIM)	NAMA	Jalur Pilihan	Thesis Poster
1	23519024	Giffari Alfarizy	Intelligence System	Verifikasi Unanswerable Question pada Sistem Question Answering Menggunakan Sentence-BERT dan Cosine Similarity
2	23519033	Hadi Permana	Intelligence System	Analisis Sentimen pada Bahasa Sunda Menggunakan Pre-trained Language Model Multi Bahasa
3	23519036	Ayu Komalasari	Software engineering	Optimasi Prediksi Defect Menggunakan Kombinasi Metrik Perangkat Lunak
4	23520020	Oktefvia Aruda Lisjana	Business Intelligence	Klasifikasi dan Clustering untuk Mendapatkan Struktur Teks Laporan Masyarakat
5	23520032	Aditya Rachman Putra	Intelligence System	Pembangkitan Abstract Meaning Representation Lintas Bahasa dari Kalimat Berbahasa Indonesia
6	23520036	Sigit Widodo	Software engineering	Pengembangan Kakas Bantu Deteksi Design Smell dengan Menggunakan UML Class Diagram
7	23520038	Gisela Kurniawati	Intelligence System	Prediksi Performa Akademik dan Waktu Kelulusan Mahasiswa Menggunakan LSTM dan GRU
8	23520046	I Nyoman Switrayana	Intelligence System	Sistem Rekomendasi Paper Menggunakan Pendekatan Hybrid untuk Mengatasi Data Sparsity
9	23520049	Hasna Karimah	Software engineering	Perancangan Dan Implementasi Sistem QAR Untuk Pembelajaran Sejarah Dengan Teknologi Marker Based Augmented Reality
10	23521044	Fajar Muslim	Intelligence System	Penyelesaian Coreference Resolution Bahasa Indonesia Menggunakan Arsitektur Word Level Coreference Resolution
11	23521045	Marsa Thoriq Ahmada	Intelligence System	Image Captioning Dengan Text Augmentation dan Transformer. Studi Kasus: Data Pariwisata

 

Wisudawan Program Magister Informatika, April 2022

No	Student Identification Number (NIM)	NAMA	Jalur Pilihan	Thesis Poster
1	23518031	Kukuh Muhammad	Information Systems	Pengembangan Protokol Komunikasi Data Aman pada Sistem IoT dengan Skema Autentikasi Mutual Berbasis HMAC untuk Menjamin Integritas Data
2	23518038	Goklas Henry Agus Panjaitan	Information Technology	Platform Deteksi Penyakit Daun Berbasis Komputasi Tepi Pada Sistem Multimedia IoT
3	23518039	Izuardo Zulkarnain	Business Intelligence	Ekstraksi Informasi Tabel Menggunakan Data Augmentation pada Deep Learning dan Image Processing
4	23519008	Muhammad Haris Maulana	Intelligence System	Kategorisasi Aspek Tanpa Supervisi Untuk Analisis Sentimen Menggunakan Aspect Embedding dan Pruning
5	23519028	Irvan Ariyanto	Business Intelligence	Klasifikasi Mood Multilabel Berbasis Fitur Lirik Lagu Bahasa Indonesia
6	23519035	Arrival Dwi Sentosa	Intelligence System	Prediksi Resiko White Spot Syndrome Virus pada Udang Vannamei dengan Pendekatan Machine Learning dan Expert Knowledge
7	23520011	Fauzan Firdaus	Intelligence System	Pengenalan Wajah Bermasker menggunakan Deep Learning
8	23520022	Made Raharja Surya Mahadi	Intelligence System	Membangkitkan Gambar Dari Teks Deskripsi Bahasa Indonesia Menggunakan Generative Adversarial Networks
9	23520039	Nadya Aditama	Intelligence System	Estimasi Kalori pada Jajanan Pasar di Indonesia Menggunakan Mask R-CNN dan Regresi Linear Berganda
10	23520044	Haris Orizadi	Business Intelligence	Prediksi Multivariate Time Series Domain Finansial Menggunakan Spectral Temporal Graph Neural Network
11	23520053	I Putu Eka Surya Aditya	Business Intelligence	Pembelajaran Transfer dengan Post Training untuk Analisis Sentimen Berbasis Aspek Berbahasa Indonesia

 

Wisudawan Program Magister Informatika, Oktober 2021

No.	Student Identification Number (NIM)	Name	Jalur Pilihan	Thesis Poster
1	23517003	Eki Saputra	Information Technology	Implementasi Algoritma Fuzzy Topsis untuk Penjadwalan dan Sebaran Penerima Bantuan BST Di Kota Bandung Pada Masa Pandemi
2	23518021	Jadequeline Marsha Pricila	Computer Science	Pembangkit Keterangan Gambar Dengan SeqGAN Menggunakan Augment-Reinforce (AR) Estimator
3	23518035	Wisnu Arya Dipa	Information Systems	Prediksi Defect Perangkat Lunak Menggunakan SMOTE dan Artificial Neural Network
4	23519004	Muhammad Husni Mubarak	Business Intelligence	Peramalan Konsumsi Listrik Bulanan dengan Metode Hybrid ARIMA-RF dan Teknik Dekomposisi CEEMDAN-SSA
5	23519010	Oky Rahmanto	Software engineering	Trust Management Dalam Heterogeneous IoT System
6	23519013	Zalid Qomalita Hijriana	Intelligence System	Verifikasi Wajah 3D dari Gambar Tunggal Beresolusi Rendah Berdasarkan Eksploitasi Deep Convolutional Feature
7	23519015	Muhammad Adrinta Abdurrazzaq	Business Intelligence	Optimasi Arsitektur MAGNET dalam Klasifikasi Teks Multi-Label
8	23519021	Muhammad Sidik Asyaky	Intelligence System	Penerapan Word Embeddings dan UMAP Untuk Meningkatkan Kinerja HDBSCAN Pada Clustering Teks Pendek
9	23519026	Adnan Setiawan AR	Software engineering	Sistem E-voting Berbasis Blockchain
10	23519034	Mokhamad Arfan Wicaksono	Business Intelligence	Analisis Statistik dan Model Prediksi Throughput pada Wireless Sensor Network Multimedia Menggunakan Pembelajaran Mesin Mendalam dengan Arsitektur Long Short-Term Memory
11	23520008	Hani'ah Wafa	Intelligence System	Implementasi Reinforcement Learning dengan Pendekatan Komputasi Kuantum
12	23520018	Kurniandha Sukma Yunastrian	Software engineering	Penentuan Prioritas Kebutuhan Perangkat Lunak Dengan Metode Collaboration Value Oriented Prioritization
13	23520019	Ranindya Paramitha	Software engineering	Studi Security Smell pada Aplikasi Berbahasa Java
14	23520025	Irfan Ihsanul Amal	Intelligence System	Pembangkitan Teks Judul Spesifik untuk Gambar Produk Menggunakan Atribut Semantik
15	23520033	Rifo Ahmad Genadi	Intelligence System	Pembelajaran Transfer dan Representasi Berbasis Span untuk Ekstraksi Triplet Opini untuk Analisis Sentimen Berbasis Aspek
16	23520043	Dandy Arif Rahman	Intelligence System	Pemanfaatan Shallow Learning untuk Klasifikasi COVID-19 Berdasarkan Suara Batuk
17	23520302	Dinda Yora Islami	Intelligence System	Pengembangan Model Akustik Menggunakan DNN Berbasis Chain Model Pada Sistem Pengenal Ucapan (Studi Kasus: Percakapan Kedokteran Gigi)

 

Wisudawan Program Magister Informatika, Juli 2021

No.	Student Identification Number (NIM)	Name	Jalur Pilihan	Thesis Poster
1	23518013	Setyo Legowo	Computer Science	Studi Peningkatan Kecepatan Inferensi Model BERT pada CPU x86 Menggunakan Apache TVM
2	23519001	Amany Akhyar	Intelligence System	Peringkasan Otomatis Berita Berbahasa Indonesia Dengan Abstract Meaning Representation
3	23519003	Paulus Setiawan Suryadjaja	Intelligence System	Penerapan Sentence-BERT untuk Meningkatkan Kinerja Peringkasan Teks Ekstraktif Berbasis Density Peaks Clustering
4	23519005	Triana Dewi Salma	Business Intelligence	Klasifikasi Teks Menggunakan XLNet dengan Proses Pelabelan Otomatis Infomap
5	23519011	Annisa Muzdalifa	Intelligence System	Abstraksi Kluster dengan Graph Reduced Summarization terhadap Hasil Pencarian Kata Kunci Berbasis Metode Klustree
6	23519012	Gayuh Giliyuwana	Business Intelligence	Optimasi Clustering dengan Variable Weighting K-Means dan Antlion Optimizer untuk Pengelompokkan Feeder 20 kV Berdasarkan Indeks Keandalan Sistem Distribusi Tenaga Listrik
7	23519018	Keenan Adiwijaya Leman	Intelligence System	Aplikasi Pengenalan Aktivitas Manusia Sebagai Sistem Pendeteksi Kekerasan Fisik
8	23519027	Suwardiman	Business Intelligence	Adaptive Ridge Regression-FS dengan Normalisasi Pembobotan pada Prediksi Pertumbuhan PDB Indonesia dengan Google Trends
9	23520003	Nabila Rahmi Maulida	Business Intelligence	Pembelajaran Mesin Menggunakan Gabungan Model ARIMA dan LSTM Untuk Prediksi Kepadatan Lalu Lintas
10	23520027	Hamdi Ahmad Zuhri	Business Intelligence	Sistem Rekomendasi Produk pada E-commerce Menggunakan Multi Task Two Tower Retrieval Model

 

Wisudawan Program Magister Informatika, April 2021

No.	Student Identification Number (NIM)	Name	Jalur Pilihan	Thesis Poster
1	23516006	Adhe Setya Pramayoga	Software System Security	Pengamanan Pesan Pada Protokol MQTT-SN Berbasis Teknologi LoRa Menggunakan Skema Authenticated Encryption with Associated Data
2	23518002	Andreas Novian Dwi Triastanto	Intelligence System	Query by Humming Music Information Retrieval dengan Menggunakan Ekstraksi Melodi Berbasis DNN-LSTM dan Filtrasi Derau
3	23518015	Inkreswari Retno Hardini	Information Technology	Pengembangan Sistem Pelacakan Wajah Berbasis Mean-Shift dengan Optimasi Locust Search Algorithm
4	23518025	Zilfikri Yulfiandi Rachmat	Intelligence System	Peningkatan Performansi Algoritma Virus Colony Search Pada Permasalahan Travelling Salesman Problem
5	23518037	Fais Zharfan Azif	Media Technology and Mobile Devices	Perancangan Kerangka Kerja Evaluasi Game Edukasi Berdasarkan Mekanik Game
6	23519009	Isjhar Kautsar	Intelligence System	Model Akustik mGRUIP dengan Temporal Convolution pada Sistem Pengenalan Suara untuk Evaluasi Bacaan Alquran

The Bachelor and Master's Integration Program (PPSM) aims to increase the number of ITB undergraduate students who continue their studies in the Master's Program, with a study period that meets the integration program's target. This is done to achieve one of the indicators of the ITB Strategic Plan 2021-2025, namely a 40% postgraduate student percentage by 2025. Based on the fulfillment of basic competencies. computing, there is a general scheme or unification of cognate and non-cognate Bachelor-Masters degrees with the Informatics Masters Study Program, which is divided into three categories as follows:

1. Linear, 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 & Technology).
2. Semi-linear, 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).
3. Non-linear, 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. computing. Evaluation of study programs outside the STEI environment whether they are included in the semi-linear or non-linear category will be carried out on a case-by-case basis when the related undergraduate study program students register for this program.

 

Basic Competency Table Computing

Basic competencies	Description
Programming	Students recognize and understand the concepts and basics of data structures. Students are able to use available data structure packages. Students are able to design and implement data structure packages. Students are able to perform problem solving (with procedural programming, medium scale) using algorithms, data structures, and databases by using available APIs/libraries or by building their own libraries.
Database	Students have an understanding of the role of database systems in fulfilling information needs. Students are able to perform small-medium scale data modeling using the entity-relationship model. Students are able to design relational database schemes Students are able to implement a database using Relational DBMS Students are able to create queries and manipulate data in databases using SQL.
Discrete Mathematics	Students are able to understand the basic concepts of discrete mathematics  Students are able to model problems using discrete mathematics concepts.  Students are able to apply discrete mathematics methods in the field of computing
Computer System	Know the development of modern computer architecture understand the abstraction of computer systems, including components, structure and functions of computers Understanding the representation of numeric and non-numeric data on computers Understanding instruction execution on a Von Neumann Machine Can identify types of memory technology and principles of memory management Can explain the use of interrupts in implementing I/O control and data transfer Explains how the operating system manages hardware

The course structure of the PPSM Informatics Masters Study Program is as follows.

PPSM students are required to undertake a continuous TA Thesis, which is the implementation of TA in the undergraduate program and thesis in the master's program with a continuous topic so that it is part of the work/research in the same area. Related to the category of PPSM program participants, the rules for implementing a Continuous TA Thesis are defined as follows. 

1. Linear: students are required to carry out a Continuing Thesis TA with the same topic and supervisor.
2. Semi-linear: Students are advised to undertake a Continuous Thesis TA with a topic that is possibly multidisciplinary in nature with the student's undergraduate program field and with a supervisory team that can come from the student's undergraduate study program and from the Informatics Master's study program. However, if not, then students are required to undertake a TA with a topic in the field of computing, even though it is not continuous with the thesis topic in the Informatics Master's Study Program and can be carried out with a different supervisor.
3. Non-linear: students are advised to undertake a Continuous Thesis TA with a topic that is possibly multidisciplinary in nature with the student's undergraduate program field and with a supervisory team that can come from the student's undergraduate study program and from the Informatics Master's Study Program. However, if not, then students are advised to take a TA topic in the field of computing, although it is still possible to take another topic outside the field of computing according to the field of their study program, so that it can be carried out with a different supervisor than the thesis.

The general management plan for the Continuous Thesis TA is as follows.

1. Supervisor requirements:
   The Continuous Thesis TA is carried out with the same supervisor for both the TA and the Thesis. The maximum number of supervisors is 2 people, both for the TA and the Thesis. If there is only 1 supervisor, then the supervisor must be eligible as the main supervisor in the undergraduate study program and the Master of Informatics Study Program. If there are 2 supervisors, then one of the supervisors must be eligible as the main supervisor in the Master of Informatics Study Program and the rules for the order of the main and assistant supervisors follow the rules in the undergraduate study program and the Master of Informatics Study Program. The list of supervisors for the Master of Informatics Study Program can be accessed at Dosen Pembimbing Tesis Magister Informatika ITB.
2. Topic requirements:
   • The topic of the Continuing Thesis TA must be within the scope of the computing field.
   • The topic of the Continuing Thesis TA must consider the appropriate level of knowledge and depth and must can be divided clearly target untuk proses TA di program sarjana dan target proses tesis di program magister. 
   • The topic of the Continuing Thesis TA must consider the appropriate level of knowledge and depth and must
   • Thesis topics for Continuing Thesis Projects can come from prospective supervisors or from student proposals. If the proposal originates from the student, it must be consulted with and approved by the supervisor.
3. Student data collection:
   Before the 7th semester of the undergraduate student program begins, the PPSM implementation team held a meeting and socialization with all students participating in the PPSM program who were due to take their TA in the 7th semester. Students were asked to submit their TA Thesis taking plan to get information about participants who would take the Continuous Thesis TA, especially for students from the semi-linear and non-linear categories.
4. Topic and supervisor allocation procedures:

• For all students who will undertake a Continuous Thesis TA, the PPSM implementation team coordinates with all TA implementation teams in all related student study programs and the thesis implementation team of the Master of Informatics Study Program to coordinate the allocation of Thesis TA topics and supervisors for the students concerned.
• The process of allocating the topic and TA Thesis supervisor can be a special case in the allocation of the topic and TA supervisor in the student's undergraduate study program and the procedure can be adjusted to the procedure in each undergraduate study program provided that the topic requirements (see point 2) and supervisor (see point 1) are met.
• After students are allocated a topic and supervisor, students report the Continuing Thesis TA planning proposal that has been signed by the student and supervisor to the PPSM implementation team.
• 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. 

1. Taking related courses:
   a. Taking TA course in undergraduate study programs
   • Assumption: There are TA-I courses in semester 7 and TA-II in semester 8 in each undergraduate study program. 
   • Students carry out the Continuous Thesis TA portion for the undergraduate program by following the TA implementation procedures in their respective study programs with the following note: in submitting the TA proposal, the topic and planning for the implementation of the Thesis must also be included.
   • Students take the TA-I course in semester 7. All or part of the topic and supervisor allocation process can be done in this semester (see point 4.d.)
   • TA-II courses are taken in semester 8.

1. Taking Research Methodology and Thesis course 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.
   Note: In submitting the thesis proposal, the results of the TA must be submitted which will be continued in the thesis.

1. During the Continuing Thesis TA implementation, students are not permitted to change topics and supervisors, especially from TA to Thesis. Changing topics or supervisors may be done for certain emergency reasons and follow procedures established by the Informatics Master's Program and acknowledged by the PPSM implementation team.

The Master Program in Informatics at the School of Electrical Engineering and Informatics, ITB, offers a Dual / Double Degree Program (DDP) in collaboration with several partner universities abroad. Students participating in the DDP can obtain degrees from both institutions—one from ITB and one from ITB’s partner university overseas. 

Students may begin their studies in the Master Program in Informatics at ITB and attend courses at ITB during the first year, following the ITB Master in Informatics curriculum. In the second year, they will continue their studies at a partner university abroad. The reverse also applies for students from partner universities: they will follow the curriculum at their home university during the first year, and then continue their second year of study at ITB.

Currently, the Master Program in Informatics at ITB offers a Dual / Double Degree Program (DDP) in collaboration with the following four partner universities: 

1. Toyohashi University of Technology – Computer Science & Engineering (Japan)

Toyohashi University of Technology – Computer Science & Engineering (Japan) The TUT-ITB DDP was formally initiated with the Agreement for Double Master’s Degrees between Toyohashi University of Technology (TUT) and Institut Teknologi Bandung (ITB) on August 18, 2023, and the Addendum Agreement for Double Master’s Degrees between the Department of Computer Science and Engineering, TUT and the Informatics Program, ITB on August 22, 2023. Website link: https://www.tut.ac.jp/english/introduction/publications.html Agreement for Double Master’s Degrees between Toyohashi University of Technology (TUT) and Institut Teknologi Bandung (ITB) August 18, 2023, and Addendum Agreement for Double Master’s Degrees between Computer Science and Engineering TUT and Informatics ITB August 22, 2023.
Link web: https://www.tut.ac.jp/english/introduction/publications.html 

2. Singapore Management University – Master of IT in Business (Singapore)

This program is officially listed under the LPDP Double Degree Scholarship Program.

https://lpdp.kemenkeu.go.id/storage/beasiswa/kebijakan-umum/file/public_policy_file_1737168598.pdf 

Other scholarships: Soegiarto Adikosoemo Postgraduate Scholarship

Website Link: https://masters.smu.edu.sg/programme/master_of_it_in_business/community-stories/bridging_borders_and_minds_smuitb_double 

3. Grand Valley State University – College of Computing

Website Link: https://www.gvsu.edu/computing/itb-international-agreements-191.htm 

4. La Trobe University –

INFORMATION FOR FOREIGN STUDENTS

1. Study Permit & Visa Application

Necessary documents: https://partnership.itb.ac.id/pre-arrival/ 

Visa Fee : IDR 6,500,000,00 (subject to change)

Process flow:

	Procedures
Applicant	Receive the Letter of Acceptance (LoA) from ITB
Applicant	send all required documents to IRO ITB.  Necessary documents: https://partnership.itb.ac.id/pre-arrival/  After IRO ITB receives all required documents, it takes 2-3 months for your study permit and visa. Visa fee is about 6.5 – 9 millions IDR
.	Process study permit online to Director of Institutional Affairs, DIKTI, Jakarta. After obtaining a study permit from DIKTI, proceed with online application for E-Visa C-316 to the Directorate General of Immigration, Jakarta.
Applicant	Receive E-Visa C-316 approval from The International Relations Office Institut Teknologi Bandung (IRO ITB).

2. Guide for ITB accommodation

ITB Student dormitory information : https://asrama/ditsp.itb.ac.id/asrama/1/

Necessary information & documents: photo, phone number, birthday, birthplace, current addres (with postcode), guardian name, guardian phone number, emergency contact
Process flow:

	Procedures
Applicant	provide all required information to STEI Office.  After STEI Office receives all required information, it takes 1-2 weeks . Dormitory rent is about 1.5 millions IDR per month.
.	The Directorate of Facilities and Infrastructure, through the Housing Service Section
Applicant	Receive accommodation confirmation from STEI officer.

Administrative Form

1. Supervisor Form from Outside ITB
2. Topic/Supervisor/Add Supervisor Change Form
3. Master's Informatics Thesis Seminar Proposal Form (offline)
4. Master's Informatics Thesis Seminar Proposal Form (online)
5. Thesis Defense Requirements Form
6. Master's Informatics Thesis Defense Proposal Form (offline)
7. Master's Informatics Thesis Defense Proposal Form (online)
8. Link to the plagiarism check upload form for Master of Informatics students' papers

Guidelines and Rules

1. Online Thesis Seminar Guide
2. Online Thesis Defense Guide
3. Guidelines for Implementing Postgraduate Seminars/Seminars
4. Master's Thesis Proposal Template IF
5. Systematics of Progress Report IF5091/IF5092 Research Implementation 1/ 2
6. MBR Research Proposal Template
7. MBR Interview Guide
8. Master's Thesis Implementation Guide for IF (2022)
9. Industrial KP Guidelines S2 IF & Administration

SK / IF Master's Accreditation Certificate

1. SK Unggul 2022
2. SK Unggul
3. SK 2017
4. SK 2018

Server IF

1. IF Server Specifications