Universitas Airlangga
Dokumen Resmi DRI UNAIR 2026

Research Group Capacity Statement

Format sesuai template resmi [DRI2026] Template - Research Center Study Group_Capacity Statement Direktorat Riset dan Inovasi Universitas Airlangga.

Universitas Airlangga • DRI 2026

Center for Artificial Intelligence and Information Systems (CAIIS)

Fakultas Sains dan Teknologi

UNAIR Seal

Section I: Research Center / Research Group Profile

1. Introduction (Overview, Establishment, Mission, Vision & Aspirations)

The Center for Artificial Intelligence and Information Systems (CAIIS) is a research group within the Faculty of Science and Technology, Universitas Airlangga, established by Dean's Decree No. 2623/B/DST/UN3.FST/HK.04/2026 on 10 March 2026. CAIIS brings together 14 researchers with expertise in artificial intelligence (AI), information systems engineering, natural language processing, data analytics, business intelligence, IT governance, cybersecurity, and AI for health. CAIIS translates advances in AI and information systems into scientific outputs, software prototypes, intellectual property, and solutions for real-world challenges. Its research capabilities span data and knowledge acquisition, AI model development, systems engineering, decision support, governance, and user-centered evaluation. CAIIS applies these capabilities to software engineering, scholarly publishing, public services, healthcare, education, and community empowerment. Vision: To become a leading research group advancing knowledge and innovation in AI-based information systems and business intelligence with scientific and societal impact. Mission: - To conduct high-quality research, develop and disseminate academic and research outputs. - Collaborate with industry, government, non-profit organizations, and international partners. - Empower communities through AI, information systems, and data-driven decision-making. Long-term aspiration: To become a recognized research hub with international reach, known for interdisciplinary research, technological innovation, and scientific and societal impact.

2. Research Focus Areas & Key Staff

1. AI for Software and Information Systems Engineering Applies artificial intelligence, natural language processing, and machine learning to improve software and information systems development. Research includes requirements engineering, automated requirements elicitation, use-case specification from agile user stories, AI-assisted software testing, test-suite optimization, text analytics, and AI-supported scholarly publishing workflows. Representative outputs include SaltySpec and JISEBI Checker. Key staff: ● Dr. Indra Kharisma Raharjana, S.Kom., M.T.: requirements engineering, NLP for software engineering, and AI for scholarly publishing ● Faried Effendy, S.Si., M.Kom.: information systems development, decision support, and software engineering ● Badrus Zaman, S.Kom., M.Cs.: text mining, sentiment analysis, and education analytics ● Army Justitia, S.Kom., M.Kom.: data mining and enterprise architecture 2. Business Intelligence, Data Analytics, and Decision Support Develops data-driven methods and decision-support solutions for organizations, MSMEs, and public services. Research covers data mining, data warehousing, predictive and prescriptive analytics, causal analysis, optimization, simulation modeling, and decision support using machine learning, fuzzy multi-criteria methods, and metaheuristics. Applications include business and fintech, recruitment and job matching, inventory and sales forecasting, facility location, regional development, and digital platform economies. Key staff: ● Dr. Ir. Dyah Herawatie, M.Si.: optimization, scheduling, simulation modeling, and digital platform economy ● Drs. Eto Wuryanto, DEA: metaheuristic optimization and technology adoption ● Barry Nuqoba, M.Kom., Ph.D.: causal discovery and data analytics ● Endah Purwanti, S.Si., M.Kom.: data mining and predictive modeling 3. AI for Health, Rehabilitation, and Inclusive Systems Develops AI and information systems to support healthcare, rehabilitation, healthy ageing, accessibility, and inclusive education. Research includes medical image analysis, biomedical signal and speech processing, activity recognition, AI-assisted diagnosis, sensor-based monitoring, and accessible interaction design. Representative outputs include EduPlay, an assistive learning application for children with Down syndrome. Key staff: ● Dr. Indah Werdiningsih, M.Kom.: deep learning, medical diagnosis, and autism activity recognition ● Dr. Rimuljo Hendradi, M.Si.: AI for healthcare and rehabilitation and biomedical signal processing ● Purbandini, S.Si., M.Kom.: medical image analysis and deep-learning image enhancement ● Whenty Ariyanti, S.Kom., M.Sc.: biomedical audio and speech processing ● Taufik, S.T., M.Kom.: human-centred information systems and accessibility 4. AI-Enabled IT Governance, Security, and Privacy Develops AI-enabled approaches for IT governance, risk management, information security, privacy, and digital government. Research covers IT governance and compliance, COBIT and ITIL, IT risk management, SPBE, zero-trust architecture, secure-by-design IoT and autonomous systems, AI-based threat detection, and cybersecurity awareness. Key staff: ● Dr. Eva Hariyanti, S.Si., M.T.: IT governance, IT risk management, and information security ● Taufik, S.T., M.Kom.: information systems security, privacy, and zero-trust architecture ● Faried Effendy, S.Si., M.Kom.: IT service management and ITIL adoption

3. Research Projects and Key Outcomes (Publications, Prototypes, Patents)

Selected Projects and Products: - SaltySpec: AI-based automated use-case specification generation from agile user stories, supporting requirements engineering and software development (Copyright EC00202426273, 2024). - JISEBI Checker: AI-based tool for structural and semantic pre-screening of scientific manuscripts, supporting automated quality assessment in scholarly publishing (Copyright EC002025147466, 2025). - EduPlay: Interactive learning application for children with Down syndrome, implemented at special-needs schools in Surabaya and Mojokerto and Quali International School Surabaya (Patent Application P00202511488, 2025). - Cervana: Gamified, RAG-based AI agent tutor for vocational accounting students preparing for competency certification (Copyright EC002025180851, 2025). - AKOBESI: Outcome-based education curriculum mapping application supporting curriculum development and accreditation (Copyright EC002023112141, 2023). - Applied AI Systems: Research and development projects include AI for early malaria detection, digital recruitment and job matching, hidden non-halal ingredient detection, manufacturing defect inspection, and salt-farmer decision support. Selected Publications: - Raharjana, I. K., Siahaan, D., & Fatichah, C. (2021). User Stories and Natural Language Processing: A Systematic Literature Review. IEEE Access, 9, 53811–53826. (IEEE Xplore) - Hariyanti, E., Djunaidy, A., & Siahaan, D. (2021). Information Security Vulnerability Prediction Based on Business Process Model Using Machine Learning Approach. Computers & Security, 110, 102422. (ScienceDirect, 22 Scopus citations) - Zaman, B., Justitia, A., Sani, K. N., & Purwanti, E. (2020). An Indonesian Hoax News Detection System Using Reader Feedback and Naïve Bayes Algorithm. Cybernetics and Information Technologies, 20(1), 82–94. (27 Scopus citations) - Justitia, A., Zaman, B., & Putra, D. K. (2024). AsCDPR: A Novel Framework for Ratings and Personalized Preference Hotel Recommendation Using Cross-Domain and Aspect-Based Features. Data Technologies and Applications. (Q1 Scopus/SINTA) - Werdiningsih, I., Puspitasari, I., & Hendradi, R. (2025). Recognizing Daily Activities of Children with Autism Spectrum Disorder Using Convolutional Neural Network Based on Image Enhancement. Cybernetics and Information Technologies, 25(1), 78–96. (5–6 Scopus citations) - Herawatie, D., Siswanto, N., & Widodo, E. (2024). Motorcycle Taxi in Shared Mobility and Informal Transportation: A Bibliometric Analysis. Journal of Information Systems Engineering and Business Intelligence, 10(2), 250–269. (11 Scopus citations) Selected Books: - Halal Intelligence (2026). - Algoritma Talenta: Sains Data di Balik Sistem Rekrutmen Modern (2026). - Mengurai Opini Digital: Analisis Sentimen Berbasis Aspek (2025). - Buku Ajar Pengujian Perangkat Lunak (Airlangga University Press, 2025).

4. Research Team & Faculty Profiles

The team consists of 14 lecturers of the Information Systems Study Program, appointed under Dean's Decree No. 2623/B/DST/UN3.FST/HK.04/2026: 1. Dr. Indra Kharisma Raharjana, S.Kom., M.T. (Head) - Software engineering, requirements engineering, NLP for software engineering, AI for journal editorial processes | Profile: https://scholar.unair.ac.id/en/persons/indra-kharisma-raharjana-3/ 2. Dr. Ir. Dyah Herawatie, M.Si. (Secretary) - Optimization, scheduling, decision support, simulation modeling, digital platform economy | Profile: https://scholar.unair.ac.id/en/persons/dyah-herawatie-3/ 3. Endah Purwanti, S.Si., M.Kom. (Treasurer) - Data mining, predictive modelling for business and health | Profile: https://scholar.unair.ac.id/en/persons/endah-purwanti-6/ 4. Barry Nuqoba, M.Kom., Ph.D. (Collaboration & Partnerships Coordinator) - Causal analysis, data analytics for healthy ageing, decision support | Profile: https://scholar.unair.ac.id/en/persons/barry-nuqoba-3/ 5. Dr. Indah Werdiningsih, M.Kom. (Research Coordinator) - Deep learning, medical image analysis, expert systems, autism activity recognition | Profile: https://scholar.unair.ac.id/en/persons/indah-werdiningsih-3/ 6. Taufik, S.T., M.Kom. (Community Engagement Coordinator) - Human-centred and inclusive information systems, IS security and privacy | Profile: https://scholar.unair.ac.id/en/persons/taufik-taufik-3/ 7. Dr. Rimuljo Hendradi, M.Si. (Member) - AI for healthcare and rehabilitation, biomedical signal processing, software testing | Profile: https://scholar.unair.ac.id/en/persons/rimuljo-hendradi-3/ 8. Dr. Eva Hariyanti, S.Si., M.T. (Member) - IT governance, IT risk management, information security, SPBE | Profile: https://scholar.unair.ac.id/en/persons/eva-hariyanti-3/ 9. Badrus Zaman, S.Kom., M.Cs. (Member) - NLP, sentiment analysis, question answering, education analytics | Profile: https://scholar.unair.ac.id/en/persons/badrus-zaman/ 10. Purbandini, S.Si., M.Kom. (Member) - Image enhancement with deep learning, GIS, multi-criteria decision making | Profile: https://scholar.unair.ac.id/en/persons/purbandini-purbandini-3/ 11. Faried Effendy, S.Si., M.Kom. (Member) - Decision support and recommender systems, IT service management, predictive analytics | Profile: https://scholar.unair.ac.id/en/persons/faried-effendy-3/ 12. Drs. Eto Wuryanto, DEA (Member) - Metaheuristic optimisation, computational methods, technology adoption | Profile: https://scholar.unair.ac.id/en/persons/eto-wuryanto-3/ 13. Army Justitia, S.Kom., M.Kom. (Member) - Data mining, text mining, enterprise architecture | Profile: https://scholar.unair.ac.id/en/persons/army-justitia-3/ 14. Whenty Ariyanti, S.Kom., M.Sc. (Member) - Deep learning for biomedical audio and speech signals | Profile: https://scholar.unair.ac.id/

5. Partnerships and Collaborations (Academic, Industry & International)

CAIIS develops research and knowledge partnerships across academic, government, education, industry, and community settings: International Academic Collaborations: ● Adjunct researchers: Assoc. Prof. Dr. Waidah Ismail (Universiti Sains Islam Malaysia), Assoc. Prof. Dr Shukor Sanim Mohd Fauzi (Universiti Teknologi MARA, Perlis Branch), and Assoc. Prof. Chi-Wen Lung (Asia University, Taiwan). ● Joint research and co-authored publications with researchers in Malaysia, Taiwan, and Singapore, including collaboration with Singapore Management University's Centre for Research on Successful Ageing. Scholarly Publishing Network: ● CAIIS manages the Journal of Information Systems Engineering and Business Intelligence (JISEBI), a Scopus-indexed journal also indexed in DOAJ, SINTA, and EBSCO. The journal provides an established network connecting CAIIS with researchers, authors, and reviewers internationally. Government, Education, and Community Partnerships: ● Banyuwangi Regency: Collaboration on AI applications for eco-tourism branding and MSME social-media promotion. ● Village and community partners: Alang-Alang Village (Bangkalan), salt farmers in Sampang (Madura), and the Rangkah community clinic (Surabaya). ● Educational institutions: Special-needs schools (SLB) in Surabaya and Mojokerto, Quali International School Surabaya, SMPN 15 Surabaya, vocational schools (SMK) in East Java, and Pondok Pesantren Darul Ittihad. Internal Academic Collaboration: ● Cross-group research collaborations within the Faculty of Science and Technology, Universitas Airlangga, including research groups in statistics, biomedical engineering, and mathematical modeling.

6. Facilities and Resources (Labs & Computational Power)

CAIIS utilizes the Computer Laboratories 1–4 of the Information Systems Study Program, Faculty of Science and Technology, Universitas Airlangga, Kampus C, to support its teaching and research activities. In addition, the center is supported by GPU-based AI computing infrastructure equipped with dual NVIDIA GeForce RTX 3090 GPUs, enabling AI model development, deep learning, natural language processing (NLP), and local large language model (LLM) experimentation.

7. Contact Information

Center for Artificial Intelligence and Information Systems (CAIIS) Faculty of Science and Technology, Universitas Airlangga, Kampus C, Jl. Dr. Ir. H. Soekarno, Mulyorejo, Surabaya 60115, East Java, Indonesia Phone: +62 31 5936501 (Faculty) Website: http://caiis.ai.id Key Contacts: - Head: Dr. Indra Kharisma Raharjana, S.Kom., M.T. ([email protected]) - Secretary: Dr. Ir. Dyah Herawatie, M.Si. ([email protected]) - Collaboration & Partnerships Coordinator: Barry Nuqoba, M.Kom., Ph.D. ([email protected])

Section II: Collaboration Opportunities

1. Overview of Opportunities (Joint Research, Publications, Exchanges & Technology Transfer)

CAIIS welcomes partners who want to co-create AI and information-systems solutions with scientific and societal impact. Opportunities include: - Joint research and joint grant proposals in our four focus areas, under national and international funding schemes. - Joint publications in reputable journals and conferences, and reviewing or editorial engagement with JISEBI. - Exchanges: visiting researcher and adjunct programs, student exchanges and internships, guest lectures, and co-supervision of theses. - Training and mentoring in AI, data analytics, business intelligence, IT governance, and cybersecurity. - Knowledge and technology transfer: co-development and licensing of our prototypes (e.g., EduPlay, SaltySpec, JISEBI Checker, Cervana) and data-driven programs for MSMEs, schools, and villages.

2. Areas of Interest for Collaboration

- NLP for software and requirements engineering, and AI for scholarly publishing. - Indonesian NLP: sentiment and opinion mining, misinformation detection, LLM and RAG applications. - Business intelligence, predictive and prescriptive analytics, and decision support systems. - AI for healthcare, rehabilitation, and healthy ageing; medical image and biomedical signal analysis. - Assistive and inclusive technologies for persons with disabilities. - AI-enabled IT governance, IT risk management, and e-government (SPBE). - Information security, privacy, zero-trust architecture, and IoT security. - Data-driven community empowerment for MSMEs, tourism, and villages.

3. Potential Partners and Participants Welcome

- Universities and research centres seeking co-investigators or comparative studies in Indonesia and Southeast Asia. - Industry: software companies, start-ups, fintech and e-commerce firms, and healthcare providers. - Government agencies implementing SPBE, public-service analytics, or regional development programs. - Community organisations: special-education institutions, schools, NGOs, MSME associations, and villages. - Individual researchers and students (postdoctoral, doctoral, master's, and undergraduate) with a background in AI, information systems, computer science, or data science.

4. Collaboration Arrangements and Availability

Opportunities are open throughout the year; there is no fixed deadline. Typical duration: - Joint research projects: 6 months to 3 years - Visiting researcher stays: 2 weeks to 3 months - Student exchanges and internships: one semester - Workshops and training: 1 to 5 days Procedure: 1. Send a short expression of interest (topic, format, timeline) to the project coordinator. 2. An online meeting to scope the collaboration. 3. Formalisation through an MoU, MoA, or implementation arrangement with the Faculty of Science and Technology and Universitas Airlangga. Joint grant proposals follow the timelines of the respective funding calls.

5. Benefits for Participating Scholars and Partners

- Co-authorship of publications in reputable international journals and conferences. - Access to local contexts and data (Indonesian text corpora, e-government, education, health, and MSME data), subject to ethics approval and data-sharing agreements. - Use of CAIIS laboratories and computing resources, and academic hospitality at Universitas Airlangga, Surabaya. - Opportunities to teach, give seminars, co-supervise students, and review for JISEBI. - Direct societal and industrial impact through our networks with government, schools, MSMEs, and communities in Indonesia.

6. Contact Details & Designated Project Coordinator

Project coordinator: Barry Nuqoba, M.Kom., Ph.D., Collaboration & Partnerships Coordinator ([email protected]) Head of research group: Dr. Indra Kharisma Raharjana, S.Kom., M.T. ([email protected]) Center for Artificial Intelligence and Information Systems (CAIIS), Faculty of Science and Technology, Universitas Airlangga, Kampus C, Jl. Dr. Ir. H. Soekarno, Mulyorejo, Surabaya 60115, East Java, Indonesia Phone: +62 31 5936501 (Faculty) Website: http://caiis.ai.id