<![CDATA[The accurate distribution of the Free Nutritious Meal Program (MBG) has become an important challenge in implementing data-driven social policies. Inaccurate prioritization of regions may lead to unequal aid distribution that does not reflect actual community needs. This study aims to develop a web-based Decision Support System by integrating Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) methods to determine the priority of MBG beneficiaries in North Sumatra Province. The study employs poverty indicators published by the Central Statistics Agency (BPS), including the Poverty Rate (PO), Poverty Gap Index (P1), and Poverty Severity Index (P2). Criteria weighting was conducted using the Analytic Hierarchy Process (AHP), while regional ranking was performed using the Weighted Linear Combination (WLC) method. The results indicate that the system successfully classified 33 regencies/cities into high, medium, and low priority categories, which were visualized through GIS-based thematic maps. Validation was conducted through AHP consistency testing with a Consistency Ratio (CR) value of < 0.1 and functional system testing showing that all features operated properly. The novelty of this study lies in the integration of poverty-based MCDA-GIS to support more systematic, informative, and integrated spatial visualization of MBG beneficiary priorities. Keywords: Decision Support System, MCDA, AHP, WLC, GIS.]]>
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