Wiredarme
Institut Pemerintahan Dalam Negeri

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Penggunaan Big Data dan Machine Learning dalam Perumusan Kebijakan Publik: Tinjauan terhadap Prinsip Partisipasi Warga Negara Erfan Wahyudi; Muhammad Suhardi; Wiredarme
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 3 No. 1 (2026): Maret 2026
Publisher : IPDN Kampus NTB

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Abstract

This study aims to analyze the use of big data and machine learning in public policy formulation by positioning citizen participation as a foundation of democratic legitimacy. The study responds to the growing assumption that data-driven policy is more objective, efficient, and rational, while it may also narrow public participation when governmental decisions rely excessively on digital data and algorithmic recommendations. This research employs a qualitative method with a normative-conceptual approach and library research. The data sources consist of legal materials, policy documents, and academic literature related to big data, machine learning, public policy, digital government, algorithmic governance, and citizen participation. The analysis is conducted through qualitative content analysis and normative interpretation to assess the relationship between analytical technology and participatory principles within the public policy cycle. The findings show that big data and machine learning can strengthen problem identification, agenda setting, policy formulation, implementation, and policy evaluation. However, these technologies also create risks of technocratic policymaking, data bias, underrepresentation of vulnerable groups, weak accountability, and the reduction of citizen participation into mere digital data. This study argues that data-driven policy must preserve public consultation, data correction, citizen objection, decision explanation, and public deliberation. The contribution of this study lies in framing citizen participation as a normative limit on the use of big data and machine learning in public policy formulation.
Tanggung Jawab Konstitusional Negara terhadap Perlindungan Data Pribadi Warga dalam Penyelenggaraan Pemerintahan Digital Wiredarme
Jurnal Perlindungan Masyarakat: Bestuur Praesidium Vol. 2 No. 1 (2025): Maret 2025
Publisher : IPDN Kampus NTB

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Abstract

This study aims to analyze the position of personal data as part of citizens’ constitutional rights in the implementation of digital government and to formulate the constitutional responsibility of the state in ensuring personal data protection. This research uses a qualitative method with a normative juridical approach. The study applies statutory, conceptual, and normative-contextual case approaches. The data sources consist of primary, secondary, and tertiary legal materials collected through library research. The analysis is conducted qualitatively and prescriptively through legal interpretation and legal reasoning. The findings show that citizens’ personal data cannot be understood merely as administrative information, but must be positioned as part of constitutional rights related to privacy, security, dignity, and personal protection. Law Number 27 of 2022 on Personal Data Protection provides a normative basis for linking personal data protection with the guarantee of the constitutional rights of data subjects. In the context of digital government, the state does not only act as a regulator, but also as a data controller, digital service provider, supervisory actor, and guarantor of citizens’ rights recovery. This study proposes five parameters of the state’s constitutional responsibility: legality of data processing, purpose limitation, system security, transparency and access for data subjects, and rights recovery. The findings imply that personal data governance in digital government must move beyond administrative compliance toward stronger constitutional accountability in protecting citizens’ rights.