Selamat datang kepada mahasiswa baru Program Doktor Ilmu Komputer Fasilkom UNSRI yang resmi bergabung pada Semester Ganjil Tahun Akademik 2026/2027. Selamat menempuh studi. Semoga perjalanan akademik ini membawa manfaat nyata, baik bagi pengembangan ilmu pengetahuan maupun bagi masyarakat luas.

Welcome to the new students of the Doctoral Program in Computer Science at the Faculty of Computer Science, UNSRI, who have officially joined the program for the Odd Semester of the 2026/2027 Academic Year. We wish you success in your studies. May this academic journey bring tangible benefits, both to the advancement of science and to society at large.

Fakultas Ilmu Komputer Universitas Sriwijaya Sambut Mahasiswa Baru Program Doktor Ilmu Komputer Semester Ganjil 2026/2027

The Faculty of Computer Science at Sriwijaya University Welcomes New Students to the Doctoral Program in Computer Science for the 2026/2027 Odd Semester

Program Studi Doktor Ilmu Komputer mengucapkan Selamat dan Sukses kepada Prof. Ir. Deris Stiawan, M.T., Ph.D., IPU., ASEAN Eng. atas keberhasilannya meraih Hibah Mobility Research untuk Diaspora Berdampak Tahun 2026, program hibah yang diselenggarakan oleh Direktorat Bina Talenta Penelitian dan Pengembangan, Direktorat Jenderal Riset dan Pengembangan, Kementerian Pendidikan Tinggi, Sains, dan Teknologi Republik Indonesia.Kolaborasi ini melibatkan diaspora Indonesia di Al-Baha University, Prof. Dr. Rahmat Budiarto, dalam pengembangan riset pada bidang kepakaran Cyber Security, Intrusion Detection Systems, IoT Security, IPv6, Security for Industrial Control Systems, Computer Networks, Security and Privacy in Vehicular Ad-hoc Networks, serta Traffic Classification.Kolaborasi strategis ini juga melibatkan sejumlah perguruan tinggi di Indonesia, yaitu Universitas Jenderal Soedirman (UNSOED), Universitas Pembangunan Nasional Veteran Jakarta (UPN Veteran Jakarta), Universitas Ahmad Dahlan (UAD), dan Universitas Muhammadiyah Kotabumi, sebagai bentuk sinergi dalam memperkuat ekosistem riset nasional dan internasional.Semoga prestasi ini menjadi inspirasi untuk terus berkarya, berinovasi, dan memberikan kontribusi terbaik bagi dunia pendidikan, penelitian, dan masyarakat yang luas di tingkat nasional maupun internasional.

The Doctoral Program in Computer Science extends its congratulations and best wishes to Prof. Ir. Deris Stiawan, M.T., Ph.D., IPU., ASEAN Eng. on his success in securing the 2026 Mobility Research Grant for High-Impact Diaspora, a grant program organized by the Directorate of Research and Development Talent Development, Directorate General of Research and Development, Ministry of Higher Education, Science, and Technology of the Republic of Indonesia.This collaboration involves an Indonesian diaspora member at Al-Baha University, Prof. Dr. Rahmat Budiarto, in the development of research in the fields of cybersecurity, intrusion detection systems, IoT security, IPv6, security for industrial control systems, computer networks, security and privacy in vehicular ad-hoc networks, and traffic classification.This strategic collaboration also involves several universities in Indonesia, namely Jenderal Soedirman University (UNSOED), Jakarta Veteran National Development University (UPN Veteran Jakarta), Ahmad Dahlan University (UAD), and Muhammadiyah University of Kotabumi, as a form of synergy to strengthen the national and international research ecosystem.May this achievement serve as an inspiration to continue working, innovating, and making the best possible contributions to the worlds of education, research, and society at large, both nationally and internationally.

Selamat dan Sukses Prof. Ir. Deris Stiawan, Ph.D., atas Keberhasilan Meraih Hibah Mobility Research untuk Diaspora Berdampak 2026

Congratulations and best wishes to Prof. Ir. Deris Stiawan, Ph.D., on successfully securing the 2026 Impactful Diaspora Research Mobility Grant

Kegiatan Monitoring dan Evaluasi (Monev) Perkuliahan Program Pascasarjana S2 dan S3 Fakultas Ilmu Komputer Universitas Sriwijaya dilaksanakan sebagai upaya peningkatan mutu pendidikan dan pengembangan kurikulum berbasis Outcome-Based Education (OBE). Kegiatan ini bertujuan untuk mengevaluasi proses pembelajaran, menyelaraskan capaian pembelajaran lulusan, serta menyusun dan menyempurnakan kurikulum dan RPS sesuai standar pendidikan tinggi dan kebutuhan pemangku kepentingan.<img src="https://doktor.ilkom.unsri.ac.id/backend/uploads/images/1782541473483-l511g6uw.png">Kegiatan diikuti oleh 23 dosen pengajar Program Studi Magister dan Doktor Ilmu Komputer Fasilkom Unsri. Pelaksanaan dilakukan secara luring di Ruang Rapat Lantai 6 Gedung Diklat Fasilkom Unsri Bukit Besar selama sepuluh hari, yaitu tanggal 9, 10, 11, 15, 17, 18, 29, 30 Juni serta 1 dan 2 Juli 2026.Pelaksanaan kegiatan diawali dengan diskusi draft kurikulum Program Studi Magister pada tanggal 9 Juni 2026 dan Program Studi Doktor pada tanggal 10 Juni 2026. Selanjutnya, tim penyusun melakukan revisi dan penyempurnaan kurikulum pada beberapa sesi paralel. Kegiatan ditutup dengan presentasi dan diskusi hasil penyusunan draft kurikulum S2 dan S3 bersama dosen pengajar pada 2 Juli 2026.Luaran utama kegiatan meliputi:<ul><li>Tersusunnya draft kurikulum berbasis OBE Program Studi Magister Ilmu Komputer.</li><li>Tersusunnya draft kurikulum berbasis OBE Program Studi Doktor Ilmu Komputer.</li><li>Tersusunnya dokumen Capaian Pembelajaran Lulusan (CPL).</li><li>Tersusunnya struktur kurikulum dan peta mata kuliah yang relevan dengan perkembangan teknologi dan riset terkini.</li><li>Tersusunnya dokumen pendukung seperti profil lulusan, deskripsi mata kuliah, bobot SKS, RPS awal, dan matriks keterkaitan CPL dengan mata kuliah.</li></ul>Hasil diskusi pada penyusunan framework OBE S3 menunjukkan bahwa revisi kurikulum dilakukan secara bertahap dengan mengacu pada kurikulum yang telah ada karena program belum memiliki lulusan. Diskusi juga menekankan pentingnya penentuan tujuan OBE, keterlibatan narasumber dari perguruan tinggi unggul, serta penyempurnaan CPL dan mata kuliah secara efektif dan efisien.Secara keseluruhan, kegiatan monitoring dan evaluasi ini berhasil menjadi sarana evaluasi pembelajaran sekaligus penyusunan kurikulum berbasis OBE yang diharapkan dapat meningkatkan kualitas pembelajaran, mendukung penjaminan mutu akademik, serta memperkuat akreditasi Program Pascasarjana S2 dan S3 Fakultas Ilmu Komputer Universitas Sriwijaya

The Monitoring and Evaluation (Monev) of Master’s and Doctoral Degree Programs at the Faculty of Computer Science, Sriwijaya University, was conducted as part of efforts to improve the quality of education and develop a curriculum based on Outcome-Based Education (OBE). This activity aims to evaluate the learning process, align graduate learning outcomes, and develop and refine the curriculum and course syllabi in accordance with higher education standards and the needs of stakeholders.<img src="https://doktor.ilkom.unsri.ac.id/backend/uploads/images/1782541473483-l511g6uw.png">The activity was attended by 23 faculty members from the Master’s and Doctoral Programs in Computer Science at the Faculty of Computer Science, University of Sriwijaya (Unsri). The workshop was held in person in the 6th-floor conference room of the Fasilkom Unsri Training Building in Bukit Besar over ten days: June 9, 10, 11, 15, 17, 18, 29, and 30 June, as well as 1 and 2 July 2026.The workshop began with discussions on the draft curriculum for the Master’s Program on June 9, 2026, and for the Doctoral Program on June 10, 2026. Subsequently, the drafting team revised and refined the curriculum in several parallel sessions. The event concluded with a presentation and discussion of the results of the Master’s and Doctoral curriculum drafts with the faculty members on July 2, 2026.The main outcomes of the activity include:<ul><li>The development of an OBE-based draft curriculum for the Master’s Program in Computer Science.</li><li>The development of a draft OBE-based curriculum for the Doctoral Program in Computer Science.</li><li>The development of Graduate Learning Outcomes (GLO) documents.</li><li>The development of a curriculum structure and course map relevant to the latest technological developments and research.</li><li>The development of supporting documents such as graduate profiles, course descriptions, credit hour weights, preliminary course outlines, and a matrix linking Graduate Learning Outcomes to courses.</li></ul>Discussions regarding the development of the OBE framework for the doctoral program indicated that curriculum revisions will be implemented gradually, building upon the existing curriculum, as the program has not yet produced any graduates. The discussion also emphasized the importance of defining OBE objectives, involving experts from leading universities, and refining CPLs and courses effectively and efficiently.Overall, this monitoring and evaluation activity successfully served as a means of assessing learning outcomes while simultaneously developing an OBE-based curriculum, which is expected to improve the quality of learning, support academic quality assurance, and strengthen the accreditation of the Master’s and Doctoral programs in the Faculty of Computer Science at Sriwijaya University.

Kegiatan Monitoring dan Evaluasi Program Pascasarjana S2 dan S3 Fasilkom Unsri Tahun 2026

Monitoring and Evaluation Activities for the Master’s and Doctoral Programs at the Faculty of Computer Science, Unsri, in 2026

Prof. Dr. Erwin, S.Si., M.Si.

Innovative Techniques in Retinal Vessel Segmentation

Indoor Localization Technologies

Deep Learning Applications in COVID-19 Diagnosis

ECG Signal Classification and Arrhythmia Detection

Geographic Information Retrieval and Toponym Recognition

Multiword Expressions in Computational Linguistics

Cervical Cancer Detection through Image Classification

Sentiment Analysis of COVID-19 on Social Media

Innovative Security Systems and Photonic Technologies

AI Applications in Fetal Ultrasound Imaging

Innovative Approaches to Poisson Image Denoising

Innovative Approaches in Sentence Boundary Detection and Sentiment Analysis

Prof. Ir. Siti Nurmaini, M.T., Ph.D.

Fetal Heart Monitoring through Electrocardiogram Innovations

Integration of Electronic Health Records in Clinical Trials

Cervical Cancer Detection through Image Analysis

Neural Network Innovations in Load Forecasting

Feature Selection Methods for Cancer Classification

Enhancing Survival in Out-of-Hospital Cardiac Arrest

Class Imbalance Learning Techniques

Drowsiness Detection Systems for Driver Safety

AI Innovations in Skin Cancer Diagnosis

Enhancing Patient Safety through Rapid Response Teams

Innovative Techniques for Impulse Noise Removal in Images

Robotic Systems for Precision Agriculture and Fruit Detection

Innovative Coverage Path Planning for Robots

Innovative Approaches to Keyword Extraction Techniques

Cervical Cancer Screening and Prevention Strategies

Surveillance and Security in Air Traffic Management

Repolarization Dynamics in Cardiac Dysrhythmia Management

Predictive Algorithms for Ventricular Arrhythmia Detection

Fault-Tolerance Innovations in High Level Synthesis

Integration of Navigation and Crime Prevention Systems

Artificial Intelligence and Data-Driven Decision-Making Frameworks

ECG Signal Processing Techniques

Prenatal Diagnosis of Congenital Heart Defects

Machine Learning Innovations in Intrusion Detection Systems

Strategies for Author Name Disambiguation in Research

Innovative Approaches to Atrial Fibrillation Detection

AI Applications in Cardiovascular Imaging and Diagnosis

Data-Driven Safety Enhancements in Aviation

Weightless Neural Networks in Pattern Recognition

Electrocardiogram Innovations for Myocardial Infarction Detection

Innovative Approaches to Missing Value Imputation

Prof. Dr. Ir. Bambang Tutuko, M.T.

Prof. Ir. Deris Stiawan, M.T., Ph.D., IPU., ASEAN Eng.

Deep Learning Innovations in IoT Security

Security Frameworks for Industrial Control Systems

Innovative Techniques in Malware Detection Systems

Cybersecurity in Smart Grid Communication Systems

Blockchain Innovations in Healthcare Data Security

Android Malware Detection and User Privacy Protection

Collaborative Intrusion Detection in Network Security

Entity Resolution and Data Linkage

Augmented Reality Systems for Enhanced User Interaction

Merger Dynamics and Corporate Governance Insights

Metaheuristic Algorithms for Optimization Challenges

Electric Vehicle Routing and Carbon Emission Optimization

Cybercrime Dynamics in Online Forums

Expertise Discovery in Social Networks and Information Retrieval

Augmented Reality Transformations in Cultural Heritage

Hierarchical Temporal Memory in Learning Systems

Parts of Speech Tagging Systems

Frameworks for Effective Cybersecurity Incident Response

Interoperability Standards in Healthcare Applications

Sentiment Dynamics in Social Media Engagement

Deep Learning Approaches for IoT Malware Detection

Named Data Networking Architecture

Prof. Dr. Ermatita, M. Kom.

Harnessing Data Mining for Student Performance Insights

Cultural Significance and Technological Integration in Batik Patterns

Deep Learning Innovations in Distributed Training Systems

Tanzania's Political Culture and Social Dynamics

Knowledge Management and Sharing Dynamics in Organizations

Dengue Transmission Dynamics and Climate Interactions

Machine Learning Models for Crop Yield Prediction

AI Techniques for Plant Species Recognition

Sentiment Classification in Social Networking Data

Patterns and Techniques in Association Rule Mining

Smart City Frameworks for Sustainable Urban Development

Fuzzy Clustering Techniques for Image Segmentation

Customer Relationship Management and Knowledge Integration

Augmented Reality in Educational Technology Applications

Neural Machine Translation Innovations and Applications

Port Efficiency and Decision-Making Frameworks

Hate Speech Detection in Multilingual Social Media

Ontology-Driven Knowledge Extraction from Text

Music Genre Classification through Machine Learning Models

Performance Appraisal Systems and Employee Justice

Machine Learning Techniques for Customer Churn Prediction

Frameworks for Effective Multi-Criteria Decision Making

Frameworks for Knowledge Management in Education

Knowledge Based Systems in Urban Planning Applications

Machine Learning Models for Fashion Demand Forecasting

RSA Security and Vulnerability in Cryptography

AI and Deep Learning in Art Classification

Decision Support Systems in Diverse Applications

ETL Processes in Data Warehouse Integration

Innovative Strategies in Patent Information Retrieval

Information Systems in Virtual Community Dynamics

Clustering Algorithms in Data Mining Applications

Sustainable Land Use Strategies for Swamp Agriculture

Expert Systems for Disease Diagnosis and Management

Machine Learning Applications in Thyroid Disease Diagnosis

Multi-Criteria Decision-Making in Diverse Contexts

Optimizing Truck Appointment Systems at Ports

Innovative Methods for Flower Image Classification

Machine Learning Applications in Soil Strength Prediction

Innovative Models for Sea Surface Temperature Prediction

Diversity and Management of Freshwater Ichthyofauna

Samsuryadi, M.Kom., Ph.D.

Graphology and Personality Trait Correlation

Social Media's Influence on Government Engagement

Influence of Online Reviews and Social Media

License Plate Recognition Systems

Enhancing Mathematical Literacy through Realistic Education

Innovative Approaches in Image Processing and Environmental Systems

Intelligent Logistics and E-Commerce Integration

Dr. Rossi Passarella, M. Eng.

Innovative Approaches in Brain Tumor Imaging

Deep Learning Techniques for Plant Disease Detection

Collision Avoidance Strategies in Maritime Navigation

Human Pose Estimation Systems

Kinect-Based Motion Capture for Rehabilitation

Innovative Clustering Algorithms for Enhanced Learning Models

Electrotherapy Devices for Enhanced Venous Health

Dr. M. Fachrurrozi, S.Si., M.T.

Facial Expression Recognition for Enhanced Interaction

Face Recognition Algorithms and Models

Chatbot Integration in Educational and Service Sectors

Dian Palupi Rini, M.Kom., Ph.D.

Artificial Immune Systems for Anomaly Detection

Adolescent Substance Use Screening and Intervention

Diabetes Risk Assessment and Prevention Strategies

Dr. Ir. Sukemi, M.T.

Remote Sensing Applications in Water Quality Monitoring

Optimized Path Planning for Mobile Robots

Smart Irrigation and Sensor Networks in Agriculture

Doctor of
Computer Science UNSRI

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Doctor ofComputer Science UNSRI