<![CDATA[By supplying geographical effects at several sites that serve as the centre of observation, the spatial regression analysis approach assesses the connection between a single variable and multiple other variables. The Spatial Durbin Model is one technique utilised in spatial regression analysis. A special instance of the spatial autoregressive model (SAR) is the spatial Durbin model, which incorporates a spatial lag into the model by adding a lag influence to the independent variables. The goal of this study is to develop a Spatial Durbin model and identify the variables that significantly affect tuberculosis (TBC) in the province of South Sulawesi. The results of this research obtained a Spatial Durbin Model regression model which was significant at a significant level of P-value <α=0.1) using variable influencing factors with a determination coefficient (R2) of 49.74%. Elements that possess a noteworthy impact on the number of Tuberculosis (TB) diseases in South Sulawesi Province are per capita income.]]>
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