MAPPING THE GEOGRAPHY OF CRIME IN INDONESIA: SPATIAL PATTERNS AND REGIONAL VARIATIONS
DOI:
https://doi.org/10.18623/rvd.v23.8089Keywords:
Crime, Hotspot, Spatial-Autocorrelation, Moran’s I, IndonesiaAbstract
Crime remains a critical issue in Indonesia that requires targeted and specific intervention. As an archipelagic country with substantial geographical, demographic, socioeconomic, and cultural diversity, Indonesia exhibits considerable regional variation in the types and patterns of crime. Understanding these variations is essential for developing effective crime prevention and control strategies. Spatial information on the distribution and patterns of different crime types is needed to identify regional disparities, prioritize interventions, and formulate evidence-based policies. This study aims to analyze the spatial patterns of various crime types across Indonesia and identify regional crime hotspots. The analysis employed spatial autocorrelation using Moran’s I and local spatial association using the Getis-Ord Gi* statistic. The results indicate that North Sumatra has the highest overall crime rate, while crimes against property are the most dominant crime category nationwide. Three crime categories, crimes against property, morality-related crimes, and crimes related to fraud, embezzlement, and corruption, exhibit statistically significant clustered distributions, whereas the remaining six crime categories demonstrate random spatial patterns. Furthermore, Java and Sumatra emerge as the primary concentrations of crime hotspots. These findings highlight the importance of considering spatial variation and crime type characteristics in developing regionally targeted crime prevention policies in Indonesia.
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