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Ciberi Beach is a tourist area in Enggros Village, Abepura District, Jayapura City, with significant development potential that draws on its natural resources and local wisdom. This study aims to identify internal and external factors influencing the development of the tourism area and to formulate appropriate development strategies using SWOT analysis. The research employs a mixed-methods approach, combining qualitative and quantitative techniques, with data collected through field observations, in-depth interviews, and questionnaires distributed to 25 visitors. The findings show that the main strengths are unspoiled natural scenery and community friendliness, while the main weaknesses include inadequate public facilities and poor road access. Key opportunities include ecotourism potential and policy support for spatial planning, while threats include coastal abrasion and unmanaged waste. Based on the SWOT matrix, the strategic position falls in Quadrant I (X = 0.31; Y = 0.51), supporting an aggressive SO strategy. Priority strategies include community-based ecotourism development, digital promotion, collaborative partnerships with universities and NGOs, and regulatory strengthening for sustainable land use. The analysis is grounded in a three-framework theoretical lens comprising the 3A tourism components (Attraction, Accessibility, Amenity), ecotourism principles, and community-based tourism, which together guide the interpretation of SWOT findings and the formulation of strategy.

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.