The Effect of Economic Growth, per Capita Expenditure, and Poverty Levels on the Human Development Index in Central Java Province

This study aims to analyze the effect of economic growth, per capita expenditure, and poverty level on the Human Development Index (HDI) in Central Java Province using multiple linear regression analysis. The research utilizes data from 35 regencies/cities in 2019 obtained from the Central Bureau of Statistics. Classic assumption tests were conducted, and the regression model was found to be BLUE (Best Linear Unbiased Estimator). The results show that per capita expenditure and poverty levels significantly affect HDI, while economic growth does not show a significant partial effect. The regression model explains 86.1% of the variation in HDI, indicating its reliability as a predictive tool for regional human development planning. Keywords: Human Development Index, Economic Growth, Per Capita Expenditure, Poverty, Multiple Linear Regression, Central Java.