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This community service activity was carried out to strengthen the advocacy capacity of the Pari Island community, Seribu Islands, DKI Jakarta, in defending their rights to land and living space from corporate claims of control. The problems faced by the community are not only related to land disputes, but also include social pressure, community polarization, threats of eviction, economic weakening, and damage to coastal ecosystems due to reclamation activities. The community service activity was carried out through participatory dialogue, problem mapping, strengthening legal literacy, discussions on advocacy strategies, and the formulation of a sustainable assistance model with the community. The results of the activity indicate that the Pari Island community has carried out various forms of advocacy, including collective action, collaboration with civil society organizations, media publications, legal assistance, institutional complaints, and environmental advocacy. However, this advocacy still needs to be strengthened through internal consolidation, documentation of intimidation, strengthening the community economy, mangrove protection, and strengthening the community's mental health. This article offers the concept of advocacy for living space resilience as a model for assisting small island communities. This model combines legal, social, media, environmental, economic, psychological, and community-based documentation advocacy. With this approach, community service serves not only as an outreach activity but also as a socio-legal assistance process that strengthens community resilience in the face of long-term agrarian and ecological conflicts.

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.