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Crime represents unlawful acts contrary to societal norms. In 2021, Jayapura City experienced a high number of criminal cases, predominantly involving crimes against property and goods. This study maps the distribution of crime rates and identifies contributing factors in Jayapura City using the K-Means Clustering and Analytical Hierarchy Process (AHP) methods. K-Means Clustering analysis revealed five crime levels: high, relatively high, moderate, quite low, and low. North Jayapura District exhibited the highest crime rates among all districts, with Gurabesi Village similarly showing elevated criminal activity. The clustering results were subsequently mapped to visualize the spatial distribution patterns of crime. AHP analysis identified economic factors and low educational attainment as primary contributors to criminal behavior in Jayapura City. Among various intervention alternatives, job creation emerged as the most effective strategy, achieving the highest comparative value for simultaneously improving educational quality and security conditions. These findings provide crucial insights for law enforcement agencies and policymakers to develop targeted crime prevention strategies, focusing on economic development and educational improvement in high-risk areas, particularly North Jayapura District and Gurabesi Village.

This study aims to analyze the spatial distribution patterns and business characteristics of Coffee Shops in Wai Mhorock Sub-district, Abepura District, Jayapura City. The rapid growth of Coffee Shops in this area is influenced by its strategic location, situated near educational institutions, shopping centers, and social activity hubs. The research employs a quantitative approach with spatial mapping techniques using Geographic Information Systems (GIS) and field surveys to identify the characteristics of each business. The results show that the spatial distribution of Coffee Shops in Wai Mhorock tends to be clustered, with a high concentration along main roads and community activity centers. The characteristics of the businesses vary in terms of venue concept, types of menus offered, operational hours, supporting facilities, and target consumers. Most Coffee Shops target young people such as students and university attendees by offering a cozy atmosphere and free internet access. In conclusion, understanding the spatial patterns and business characteristics of Coffee Shops can serve as a foundation for sustainable urban spatial planning and business development. This study also provides recommendations for entrepreneurs and local governments to consider location, accessibility, and environmental impacts in managing commercial space.