UDTR — Radar mondial des droits de la Nature

Policing hotspot in crime mapping based on the criminology of place in Jakarta: Case study of crime statistics data in 2022–2024

Identification

Clé publique

doi:10.55942/pssj.v6i4.1554

Auteurs

Resa Fiardi Marasabessy

Année déclarée

2026

Langue déclarée

en

Type source

article

Première détection

2026-11-09T19:04:47.760085+00:00

Dernière observation des métadonnées

2026-11-09T19:04:47.760085+00:00

Dernière vérification HTTP

Non effectuée

Institutions déclarées par la source

Ministry of Finance

Pays d’affiliation déclarés

ID

Résumé documentaire — langue originale

This study initiates a geospatial-based policing hotspot model for the jurisdiction of the Metro Jaya Regional Police by integrating the criminology of place, routine activity theory, and crime pattern theory. Secondary data were obtained from the publication of BPS Jakarta Crime Statistics from 2022 to 2024. Sourced from total crime, crime cleared, and crime rate, as well as categorization of crime types, case data are treated as a point pattern and processed through two steps, namely, Kernel Density Estimation (KDE) to map hotspot density and persistence and Space-Time Scan Statistic (SaTScan) to detect space clusters statistically significant time. The results show a strong pattern of occurrence concentration in a relatively stable small number of locations over time, with a significant fluctuation in 2023 to a decline in 2024. The composition of the three-year data confirms the priority of handling focused on Non-Violent Crimes against Property Rights, Crimes related to Fraud/Embezzlement/Corruption, and Crimes related to narcotics. Interpretation through crime hotspot visualization emphasizes caution in cross-year comparisons and the importance of triangulation with internally geocoded reports and locations. Operationally, the KDE–SaTScan series produces cycles including: (1) identification of persistent crime hotspots for structural prevention, (ii) rapid response scheduling based on risky space-time dimensions, and (iii) indicator-based evaluation (crime rate priority area, total crime-cleared difference, and indication of spread). This approach focused on place and time as the main decision-making factors for the Resmob unit, while maintaining the accountability of the Polri Presisi to realize the vision of the Asta Cita Program.

Identifiants

OPENALEX

W7154989998

DOI

10.55942/pssj.v6i4.1554

Repères documentaires

Famille documentaire

Doctrine

Types déclarés par les sources

article

Les mentions d’entités ne constituent pas une preuve de reconnaissance juridique. La juridiction étudiée est distincte du pays d’affiliation des auteurs.

Sources

OpenAlex · Document 1 · Document 2

• DOI · https://doi.org/10.55942/pssj.v6i4.1554
• OpenAlex · https://openalex.org/W7154989998

Relations bibliographiques documentées

Références et liens déclarés par les sources ; ils ne constituent pas une preuve juridique ni une qualification UGLC. Affichage limité à 20 références sortantes.

• openalex:w1531081428 · CITES
• openalex:w166741661 · CITES
• openalex:w2002151188 · CITES
• openalex:w2026752040 · CITES
• openalex:w2344211775 · CITES
• openalex:w2799456436 · CITES
• openalex:w2899874307 · CITES
• openalex:w2931081117 · CITES
• openalex:w2938540535 · CITES
• openalex:w2970239616 · CITES
• openalex:w2996773378 · CITES
• openalex:w3094965961 · CITES
• openalex:w3096794544 · CITES
• openalex:w3158082325 · CITES
• openalex:w3211383126 · CITES
• openalex:w3215181653 · CITES
• openalex:w3217784794 · CITES
• openalex:w4284991562 · CITES
• openalex:w4293451889 · CITES
• openalex:w4386231880 · CITES

0 références entrantes au sein du corpus détecté

Statut documentaire

Pertinence à examiner

Bibliothèque

Cette identité n’est pas encore intégrée à la Bibliothèque juridique.