<![CDATA[Stunting is a chronic nutritional problem that has long-term impacts on physical growth, cognitive development, and the quality of human resources. South Sulawesi Province still faces a high prevalence of stunting with variations in conditions between districts/cities. This study aims to conduct early detection of areas with potential stunting crises through the integration of Local Moran's I spatial analysis and the Geographically Weighted Regression (GWR) method. The research data consists of secondary data from the Statistics Indonesia (BPS) in 2024 in 24 districts/cities with variables related to nutritional, socioeconomic, and environmental factors. The analysis stage begins with OLS regression and classical assumption tests, followed by the Local Moran's I test to identify spatial autocorrelation patterns, indicating clustering of at-risk areas. Therefore, GWR modeling is used to map variations in the influence of local determinants of stunting. The results show that the GWR model outperforms OLS based on increased R² values and coefficient variations between regions, with significant variable differences in each location. These findings emphasize the importance of region-specific stunting management policies as a basis for early detection and more effective intervention in South Sulawesi Province.]]>
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