Intelligent Systems & AI
Machine learning, knowledge discovery, and intelligent decision support embedded in enterprise and public-sector information systems.
Universitas Sriwijaya
Intelligent & Sustainable Information Systems
Research that matters for society, industry, and the planet.
We design, analyze, and deploy information systems that are intelligent by design and sustainable by principle — bridging academic rigor with practical impact across health, education, governance, and enterprise.
About INSIST
A research community built on curiosity, collaboration, and consequence.
INSIST (Intelligent and Sustainable Information Systems) is a research group within the Faculty of Computer Science at Universitas Sriwijaya. We investigate how information systems can be designed to be both intelligent — leveraging data, AI, and analytics — and sustainable — considering environmental, social, and economic dimensions.
Our work spans from theoretical foundations in IS design science to applied research in digital health, smart cities, and enterprise systems. We publish in leading journals and conferences while maintaining strong ties with industry partners and public institutions across Sumatra and beyond.
We believe that excellent research is measured not only by citations, but by the positive change it creates in communities, organizations, and policy.
- Founded
- 2018
- Faculty
- Computer Science
- Focus
- IS & Sustainability
- Location
- Palembang, ID
Research Themes
Six interconnected areas where we pursue rigorous, impact-oriented inquiry.
Sustainable Information Systems
Green IT, circular economy informatics, and frameworks for measuring the environmental and social footprint of digital systems.
Digital Health Informatics
Electronic health records, telemedicine platforms, and health analytics for improving care delivery in resource-constrained settings.
Data Analytics & Decision Support
Business intelligence, predictive analytics, and data-driven policy support for organizations and government agencies.
Smart Infrastructure & IoT
Sensor networks, urban informatics, and intelligent infrastructure for smart cities and regional development.
IS Design & Engineering
Design science research, method engineering, and rigorous evaluation of information system artifacts and processes.
Impact Areas
Our research extends beyond publications — it shapes practice, policy, and communities.
50+ publications
Academic Excellence
Peer-reviewed publications in Q1/Q2 journals and A*/A conferences, advancing the global IS knowledge base.
15+ partners
Industry Collaboration
Joint research projects, technology transfer, and consulting with SMEs and enterprises across South Sumatra.
30+ events/year
Community Engagement
Workshops, seminars, and outreach programs that democratize access to technology and digital literacy.
5+ policy briefs
Policy & Governance
Evidence-based recommendations for digital transformation in regional government and public institutions.
Featured Publications
Selected recent work from INSIST researchers in leading venues.
Journal
2025A Design Framework for Sustainable Enterprise Information Systems in Emerging Economies
Rahman, A., Sari, D., Wijaya, B.
Information Systems Journal
DOI: 10.1111/isj.12345
Conference
2024Predictive Analytics for Hospital Resource Allocation: A Case Study in South Sumatra
Putra, M., Hidayat, R., Chen, L.
PACIS 2024 Proceedings
Journal
2024Green IT Maturity Assessment Model for Indonesian Higher Education Institutions
Susanto, K., Anggraini, S., Rahman, A.
Journal of Cleaner Production
DOI: 10.1016/j.jclepro.2024.141234
Latest News
Updates from the INSIST community — events, collaborations, and milestones.
Event
INSIST Researchers Present at PACIS 2025 in Bali
Three papers accepted at the Pacific Asia Conference on Information Systems, covering digital health and sustainable IS topics.
Announcement
New MoU Signed with RSUD Palembang for Digital Health Research
A two-year collaboration to develop predictive analytics tools for hospital resource management in regional healthcare.
Achievement
INSIST Welcomes Five New Master's Research Students
The 2025 cohort brings expertise in machine learning, health informatics, and green computing to the research community.
Our Community
INSIST brings together faculty researchers, graduate students, and alumni who share a commitment to rigorous, impact-oriented information systems research. We foster an open, collaborative culture where ideas are tested, refined, and shared.
12
Faculty Researchers
25+
Graduate Students
40+
Alumni in Academia & Industry
8
Active Collaborations
Join INSIST
Whether you are a prospective graduate student, visiting researcher, or industry partner — we welcome collaborators who share our vision for intelligent and sustainable information systems.
Graduate Programs
Pursue an S2 or S3 degree in Information Systems with INSIST faculty as supervisors. Research topics span all our thematic areas.
Learn moreResearch Collaboration
Co-author papers, co-supervise students, or initiate joint grant proposals with our faculty and international partners.
Learn moreIndustry Partnership
Engage INSIST for applied research, system prototyping, or technology evaluation tailored to your organization's needs.
Learn more