Comparative Legal Lessons from the 2015 and 2024 Riau Islands Gubernatorial Elections

This study examines the persistent challenge of regulatory fragmentation in Indonesia’s decentralized electoral governance through a comparative legal analysis of the 2015 and 2024 gubernatorial elections in Riau Islands Province. Using a juridical-comparative approach combined with doctrinal legal analysis and process tracing, the research compares statutory frameworks, institutional coordination, and electoral outcomes. Data were drawn from official regulations, Provincial KPU reports, voter turnout statistics, and budget records. Findings show that while the 2024 election benefited from greater legal coherence than in 2015, unchecked subnational discretion most notably the reduction of polling stations from 4,654 to 3,327 resulted in lower voter turnout (77% to 54%) and reduced accessibility, particularly in remote archipelagic areas. The study argues that both normative misalignment and procedural discretion, when unbounded, undermine electoral inclusiveness and transparency. Theoretically, this article contributes to the discourse on legal pluralism and regulatory coherence by demonstrating how harmonization must integrate both legal standardization and procedural predictability. Practically, it proposes a unified Election Code, “bounded discretion” guidelines, and institutionalized inter-agency coordination to safeguard electoral integrity.

Authors

Publication Details

Journal
International Journal of Law and Public Policy (IJLAPP)
Published
2025-09-29
DOI
https://doi.org/10.36079/lamintang.ijlapp-0702.893
Primary Topic
Indonesian Legal and Regulatory Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Legal Lessons from the 2015 and 2024 Riau Islands Gubernatorial Elections

Marsudi Marsudi, Achmad Yani
International Journal of Law and Public Policy (IJLAPP)
Indonesian Legal and Regulatory Studies
article

Comparative Legal Lessons from the 2015 and 2024 Riau Islands Gubernatorial Elections

Marsudi Marsudi, Achmad Yani
article en

Abstract

This study examines the persistent challenge of regulatory fragmentation in Indonesia’s decentralized electoral governance through a comparative legal analysis of the 2015 and 2024 gubernatorial elections in Riau Islands Province. Using a juridical-comparative approach combined with doctrinal legal analysis and process tracing, the research compares statutory frameworks, institutional coordination, and electoral outcomes. Data were drawn from official regulations, Provincial KPU reports, voter turnout statistics, and budget records. Findings show that while the 2024 election benefited from greater legal coherence than in 2015, unchecked subnational discretion most notably the reduction of polling stations from 4,654 to 3,327 resulted in lower voter turnout (77% to 54%) and reduced accessibility, particularly in remote archipelagic areas. The study argues that both normative misalignment and procedural discretion, when unbounded, undermine electoral inclusiveness and transparency. Theoretically, this article contributes to the discourse on legal pluralism and regulatory coherence by demonstrating how harmonization must integrate both legal standardization and procedural predictability. Practically, it proposes a unified Election Code, “bounded discretion” guidelines, and institutionalized inter-agency coordination to safeguard electoral integrity.

International Journal of Law and Public Policy (IJLAPP)Vol. 7(2)
Openalex Percentile: Top 66%
Indonesian Legal and Regulatory Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.