Mitigation of Sosial Conflict in the Implementation of the 2024 Simultaneous Regional Elections in Bogor Regency

This study aimed to determine how social conflict mitigation was implemented in the 2024 Simultaneous Regional Elections in Bogor Regency, including identifying obstacles and efforts from various related institutions. The background of this study was based on the high potential for election vulnerability in West Java Province based on the Election Vulnerability Index (IKP) of Bawaslu RI, with Bogor Regency categorized as moderately vulnerable. This study used a quantitative descriptive method with a disproportionate stratified random sampling technique for employees and simple random sampling for the community, with 145 respondents. Data were collected through literature studies, observations, interviews, documentation, and questionnaires and analyzed using the Weight Mean Score (WMS) method based on the seven dimensions of the Collaborative Conflict Resolution theory. The results of the study showed that social conflict mitigation was categorized as "Good" according to employees (average score 4.17) and the community (average score 3.82). Mitigation strategies were carried out by mapping vulnerable polling stations, security simulations, coordination between institutions, and socialization with the community. The obstacles faced include technical coordination, limited training of party cadres, and challenges of media neutrality. Mitigation efforts were carried out through internal training, information verification, and cross-institutional communication. This study emphasized the importance of multi-party collaboration in creating peaceful and participatory regional elections in conflict-prone areas.

Institutions

Publication Details

Journal
Public Policy Journal
Published
2025-08-31
DOI
https://doi.org/10.37905/ppj.v6i2.2976
Primary Topic
Multicultural Education and Local Wisdom
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mitigation of Sosial Conflict in the Implementation of the 2024 Simultaneous Regional Elections in Bogor Regency

Public Policy Journal
Multicultural Education and Local Wisdom
article

Mitigation of Sosial Conflict in the Implementation of the 2024 Simultaneous Regional Elections in Bogor Regency

article en

Abstract

This study aimed to determine how social conflict mitigation was implemented in the 2024 Simultaneous Regional Elections in Bogor Regency, including identifying obstacles and efforts from various related institutions. The background of this study was based on the high potential for election vulnerability in West Java Province based on the Election Vulnerability Index (IKP) of Bawaslu RI, with Bogor Regency categorized as moderately vulnerable. This study used a quantitative descriptive method with a disproportionate stratified random sampling technique for employees and simple random sampling for the community, with 145 respondents. Data were collected through literature studies, observations, interviews, documentation, and questionnaires and analyzed using the Weight Mean Score (WMS) method based on the seven dimensions of the Collaborative Conflict Resolution theory. The results of the study showed that social conflict mitigation was categorized as "Good" according to employees (average score 4.17) and the community (average score 3.82). Mitigation strategies were carried out by mapping vulnerable polling stations, security simulations, coordination between institutions, and socialization with the community. The obstacles faced include technical coordination, limited training of party cadres, and challenges of media neutrality. Mitigation efforts were carried out through internal training, information verification, and cross-institutional communication. This study emphasized the importance of multi-party collaboration in creating peaceful and participatory regional elections in conflict-prone areas.

Public Policy JournalVol. 6(2)
Universitas Djuanda (ID)
Reduced inequalities
Openalex Percentile: Top 39%
Multicultural Education and Local Wisdom
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.