This study uses panel data regression analysis using the Random Effect Model (REM) method. The purpose of this study is to describe the percentage of poor people in Indonesia and to analyze the factors that influence the percentage of poor people in Indonesia. This can be seen from the increase in the human development index, gross domestic product and the number of health facilities that are not counted by reducing the percentage of the poor population. The percentage of poor people in Indonesia is still high, is still less efficient, the government's policy in alleviating poverty. Panel Regression, Random Effect Model, Poverty Abstract Indonesia as a country rich in natural resources has not been able to make it as a country that is free from poverty.
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