<![CDATA[Stunting is a public health problem that has a long-term impact on reducing the quality of human resources. Ngemplak District recorded 821 stunting cases among children under five in 2024, making it the area with the highest stunting burden in Boyolali Regency. This study aims to analyze the spatial distribution patterns of stunting prevalence based on the accessibility of health facilities and basic immunization coverage using a Geographic Information System approach. The research design is descriptive quantitative with an ecological spatial approach using a total population of 821 cases spread across 12 villages. The analysis was carried out through mapping stunting prevalence per village, immunization coverage overlay, 1 km radius health facility buffering using QGIS 3.34, as well as global spatial autocorrelation (Global Moran's I) and local spatial autocorrelation (LISA) using GeoDa. The highest stunting prevalence was found in Sobokerto Village (16.3%), Ngargorejo (15.9%), and Manggung (15.1%), while the lowest prevalence was recorded in Giriroto Village (6.4%). Two villages recorded immunization coverage below the national target of 90%, namely Sawahan (88.5%) and Giriroto (79.4%). Buffering analysis results show that 10 out of 12 villages are within the reach of health facilities, while Manggung and Ngargorejo villages are outside the 1 km radius. The Global Moran's I value of -0.0637 (pseudo p-value = 0.3750) indicates a globally random spatial distribution pattern. LISA analysis identified Manggung Village as a high-low spatial outlier (p = 0.05), indicating significant local spatial correlation in that area. This study concludes that stunting determinants are local and spatially independent, requiring contextual intervention strategies per village, prioritizing Manggung and Ngargorejo villages through expanded health facility reach, and Sobokerto Village through specific local risk factor approaches.]]>
