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Artificial Intelligence Governance Audit for Public Information Disclosure (AI Government Audit) Ramdan Prawira Sutardjo; Irfan Dwiguna Sumitra
Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Vol. 12 No. 1 (2026): April 2026
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jtk3ti.v11i3.19007

Abstract

Abstract— Background: The use of artificial intelligence (AI) in public services accelerates decision-making but also poses ethical risks, bias, and a loss of accountability. This article proposes an AI Government Audit Framework developed using a Design Science Research (DSR) approach. The methodology includes problem identification, artifact design and development, demonstration, and evaluation using conceptual case studies and cross-checking of policy documents. The results indicate that an audit framework combining documentation review, external (adversarial/black-box) testing, and policy compliance assessment can improve transparency and mitigate risks in public AI systems. Recommendations focus on strengthening internal/external audit capabilities, model documentation standards, and regulations for audit disclosure.
Systematic Review of Blockchain Technology in Electronic Medical Record Management: Trends, Challenges, and Future Research Directions Hani Irmayanti; Sufa Atin; Andri Heryandi; Irawan Afrianto; Estiko Rijanto; Irfan Dwiguna Sumitra
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 2 (2026): INJIISCOM: VOLUME 7, ISSUE 2, DECEMBER 2026 (Online First)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v7i2.18520

Abstract

This study explores blockchain technology's role in addressing security and integration challenges within Electronic Medical Record (EMR) systems. Using a Systematic Literature Review (SLR) of 143 articles, the research highlights blockchain’s potential to facilitate decentralized, transparent, and secure data exchange. Findings indicate that permissioned blockchains, specifically Hyperledger Fabric, are preferred for maintaining data integrity and managing access via smart contracts. To handle big data scalability, this study recommends a hybrid architecture, identifying AI and IoT integration as the future of smart healthcare. Despite its promise, the lack of global semantic standardization remains a primary hurdle for achieving full interoperability. These insights offer a strategic roadmap for developing integrated, patient-centric EMR systems.