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This lecture provides a comprehensive analysis of poverty in South Sulawesi, addressing multidimensional poverty through spatial analysis. We examine human capital, investment, and land conversion impacts using panel data from 24 districts between 2015 and 2024, employing methods such as ESDA, SAR, SEM, and HR models. Model selection is evaluated through statistical tests and metrics like AIC and R². Key findings highlight the divergent impacts of agricultural land conversion and investment...