Designing an AI-Driven Legislation Framework to Improve Indonesia's Law-Making Transparency and Public Participation

Arifin, Firdaus; Suryana, Cece; Maarif, Ihsanul; Bahri, Robi Assadul; Murbani, Anastasia Wahyu

doi:10.20961/yustisia.v14i2.98092

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Designing an AI-Driven Legislation Framework to Improve Indonesia's Law-Making Transparency and Public Participation

Yustisia · Vol. 14 No. 2 (2025) · hlm. 152–169

DOI: 10.20961/yustisia.v14i2.98092
ISSN: 2549-0907, 0852-0941
Terbit: 2025-08-15
Penerbit: Faculty of Law, Universitas Sebelas Maret
Bahasa: eng
Lisensi: creativecommons.org/licenses/by/4.0

Abstrak

The legislative process in Indonesia faces persistent challenges, including inefficiency, limited transparency, and minimal public participation. This study examines the integration of AI, particularly Natural Language Processing, into the design of an e-legislation system to address these systemic issues. Employing a normative-empirical legal research methodology, this study combines doctrinal legal analysis with a design science approach to prototype an AI-driven legislative platform. The study reveals that integrating AI, particularly Natural Language Processing, can enhance legal drafting efficiency, improve legislative process transparency, and enable real-time public participation. The proposed AI-driven legislation system can detect redundancies, contradictions, and legal inconsistencies, as well as classify public input to support evidence-based decision-making. The study underscores the importance of explainable AI principles, algorithmic transparency, and participatory feedback mechanisms to uphold democratic legitimacy. Pivotal challenges identified include limited digital infrastructure, the absence of specific legal frameworks for AI in legislation, and risks of bias and privacy violations. The study recommends establishing specific regulations, conducting pilot testing of the prototype system, and fostering multidisciplinary collaboration to ensure AI's ethical, accountable, and inclusive use in Indonesia's law-making process

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State University of Semarang
Hasanuddin University
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Tampilkan sebagai tabel

Rekan penulis	Organisasi	Artikel bersama
Bunyamin Bunyamin	State University of Semarang	6
Fikri Chandra Permana	Afiliasi tidak diketahui	4
Mohd Zakhiri Md Nor	Afiliasi tidak diketahui	4
Taty Sugiarti	Afiliasi tidak diketahui	4
Mohd Kamarulnizam Abdullah	Afiliasi tidak diketahui	3
Robi Asadul Bahri	Afiliasi tidak diketahui	3
Mella Ismelina Farma Rahayu	Afiliasi tidak diketahui	3
Anthon F Susanto	Afiliasi tidak diketahui	3
Zico Junius Fernando	Afiliasi tidak diketahui	2
Mukhlis Mukhlis	Afiliasi tidak diketahui	2
Mohammad Alvi Pratama	Afiliasi tidak diketahui	2
Iskandar ISKANDAR	Afiliasi tidak diketahui	1
Lestari Sinaga	Afiliasi tidak diketahui	1
Nurhayati Mardin	Afiliasi tidak diketahui	1
Muhammad Rustamaji	Afiliasi tidak diketahui	1
I Gusti Ayu Ketut Rachmi Handayani	Afiliasi tidak diketahui	1
Erwan Adi Priyono	Afiliasi tidak diketahui	1
Syamsir Syamsir	Hasanuddin University	1
Eko Nuriyatman	Afiliasi tidak diketahui	1
Sitta Saraya	Afiliasi tidak diketahui	1
Enas Qutieshat	Afiliasi tidak diketahui	1
Subelo Wiyono	Afiliasi tidak diketahui	1
Rosa Tedjabuwana	Afiliasi tidak diketahui	1
Mohd. Kamarulnizam Bin Abdullah	Afiliasi tidak diketahui	1
Faris Fachrizal Jodi	Afiliasi tidak diketahui	1
Rd. Dewi Asri Yustia	Afiliasi tidak diketahui	1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://jurnal.uns.ac.id/yustisia/oai, pertama di-harvest 10 Nov 2026, terakhir terlihat 10 Nov 2026.

Metadata asli (oai_dc)

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	<dc:title xml:lang="en-US">Designing an AI-Driven Legislation Framework to Improve Indonesia's Law-Making Transparency and Public Participation</dc:title>
	<dc:creator>Arifin, Firdaus</dc:creator>
	<dc:creator>Suryana, Cece</dc:creator>
	<dc:creator>Maarif, Ihsanul</dc:creator>
	<dc:creator>Bahri, Robi Assadul</dc:creator>
	<dc:creator>Murbani, Anastasia Wahyu</dc:creator>
	<dc:subject xml:lang="en-US">e-legislation; artificial intelligence; legislative process; democratic governance</dc:subject>
	<dc:description xml:lang="en-US">The legislative process in Indonesia faces persistent challenges, including inefficiency, limited transparency, and minimal public participation. This study examines the integration of AI, particularly Natural Language Processing, into the design of an e-legislation system to address these systemic issues. Employing a normative-empirical legal research methodology, this study combines doctrinal legal analysis with a design science approach to prototype an AI-driven legislative platform. The study reveals that integrating AI, particularly Natural Language Processing, can enhance legal drafting efficiency, improve legislative process transparency, and enable real-time public participation. The proposed AI-driven legislation system can detect redundancies, contradictions, and legal inconsistencies, as well as classify public input to support evidence-based decision-making. The study underscores the importance of explainable AI principles, algorithmic transparency, and participatory feedback mechanisms to uphold democratic legitimacy. Pivotal challenges identified include limited digital infrastructure, the absence of specific legal frameworks for AI in legislation, and risks of bias and privacy violations. The study recommends establishing specific regulations, conducting pilot testing of the prototype system, and fostering multidisciplinary collaboration to ensure AI's ethical, accountable, and inclusive use in Indonesia's law-making process</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Law, Universitas Sebelas Maret</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2025-08-15</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jurnal.uns.ac.id/yustisia/article/view/98092</dc:identifier>
	<dc:identifier>10.20961/yustisia.v14i2.98092</dc:identifier>
	<dc:source xml:lang="en-US">Yustisia; Vol 14, No 2: August 2025; 152-169</dc:source>
	<dc:source>2549-0907</dc:source>
	<dc:source>0852-0941</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jurnal.uns.ac.id/yustisia/article/view/98092/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Firdaus Arifin, Cece Suryana, Ihsanul Maarif, Robi Assadul Bahri, Anastasia Wahyu Murbani</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
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