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INDONESIA
Journal of Governance and Public Policy
Published by Universitas Muhammadiyah Yogyakarta
ISSN : 24600164     EISSN : 25497669     DOI : -
Core Subject : Social,
Social Sciences
The journal aims to publish research articles within the field of Public Policy and Governance, and to analys a range of contemporary political and governing processes.
Arjuna Subject : -
Articles 462 Documents
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Maintaining Voting Rights Outside the Election Period: Evidence of Continuous Voter Data Updating (DPB) Riau Province, Indonesia Yandra, Alexsander; Sudaryanto, Sudaryanto; Asnawi, Eddy; Hernimawati, Hernimawati; Setiawan, Husni; Wijaya, Junior Hendri; Etebom, John Monday
Journal of Governance and Public Policy Vol. 12 No. 3 (2025): October 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jgpp.v12i3.24348

Abstract

This study examines the continuous updating of voter data by the General Elections Commission (KPU) based on data self-sufficiency. While previous research has emphasized multi-stakeholder approaches, limited attention has been given to the potential collaboration between the KPU and the Department of Population and Civil Registration (Disdukcapil). Addressing this gap, the study analyzes mechanisms for strengthening inter-agency collaboration to ensure sustainable voter data management. Voting rights are fundamental to political participation and the quality of elections. However, significant gaps persist, as seen in Riau Province where 7,375 citizens were excluded from the voter list before the 2024 Election. This underscores the need for electoral organizers to continuously evaluate and update voter data beyond the election period. Using a qualitative method with an empirical case study approach, the study applies theories of democracy and voters’ political rights, complemented by an ethical–emic analysis. Findings reveal that the KPU remains largely passive in updating sustainable voter data, creating risks of regressive records. Furthermore, coordination with Disdukcapil is one-directional, restricting open access to population data. The novelty of this research lies in highlighting the underexplored institutional collaboration between the KPU and Disdukcapil. Unlike previous studies that focus on broad multi-stakeholder dynamics, this study shows how a targeted inter-agency partnership can directly address voter registration gaps and improve electoral accountability. Strengthening institutional relations through high-level collaboration, routine synchronization, and establishing a dedicated institution for voter data management is therefore essential.
Governing AI in Public HRM: A Critical Analysis of Taiwan’s Draft Artificial Intelligence Basic Law Yang, Yu-Sheng
Journal of Governance and Public Policy Vol. 12 No. 3 (2025): October 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jgpp.v12i3.26878

Abstract

This study evaluates the suitability of the Draft Artificial Intelligence Basic Law (2024) for public human resource management (PHRM) in Taiwan, focusing on data privacy, algorithmic fairness, decision transparency, and accountability. PHRM involves recruitment, evaluation, and appointment processes that extensively apply personal data and algorithms, entailing significant legal and ethical risks. Using qualitative methods, this study compares Taiwan’s approach with the EU’s risk-based and the US’s market-driven models. Triangulation and institutional analysis are employed to assess the draft’s provisions on legitimacy, fairness, and accountability. Findings showed the draft omits key rights such as data portability, the right to be forgotten, and data protection impact assessments (DPIA), and lacks algorithm audits, disclosure, and appeal mechanisms. These gaps may lead to bias, opacity, and violations of rights, with risks amplified under conditions of regulatory flexibility. The novelty of this study lies in its integration of AI governance with the specific context of public human resource management in Taiwan, an area where legal-ethical risks are high but underexplored in existing literature. Unlike prior research that mainly addresses AI governance in commercial or general administrative domains, this study highlights how the unique features of PHRM—such as recruitment algorithms and performance evaluation systems—intersect with data rights and accountability requirements. By situating the Draft AI Law within this sensitive policy arena, the study extends ICT adoption theories beyond traditional models emphasizing usefulness and ease of use, foregrounding public values, ethical safeguards, and institutional legitimacy. From a policy perspective, this study recommends strengthening data rights, establishing compliance and audit systems, creating independent regulatory bodies, and implementing disclosure requirements, thereby providing both theoretical and practical insights for AI governance in Taiwan and the broader region.

Page 47 of 47 | Total Record : 462

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