Determinants of Poverty in Provinces in the Eastern Region of Indonesia in 2017-2023 (Study 8 provinces in the Eastern Region of Indonesia)

The purpose of this study is to evaluate the influence of UMP, HDI, and road length on poverty rates in several provinces in KTI from 2017 to 2023. This study uses secondary data. The analysis method is panel data regression, and the model is FEM. The results of the study show that the UMP and HDI variables have a negative and significant impact on the poverty rate. On the other hand, the length of the road does not show a significant effect on the poverty rate. These findings imply that poverty alleviation policies in the Eastern Region of Indonesia need to be focused on improving human quality and minimum wage protection, as well as encouraging more inclusive and sustainable infrastructure development.