Kinerja Pembangunan Daerah Berdasarkan Indeks Pembangunan Manusia

Abstract

The Human Development Index (HDI) is one of the parameters used
to measure development success. HDI is measured based on the level
of education, health and expenditure. Central Java Province has a
lower HDI value compared to other provinces in Java and is lower
than its national level and only superior to East Java. So that the
sample used in this research is 35 regencies/cities in Central Java
Province during 2015-2018. The type of data used is secondary data
sourced from BPS Central Java and other sources related to
research. The dependent variable in this study was the HDI and the
independent variable consisted of poverty level, population, inflation,
GRDP and regency/city minimum wages in Central Java Province.
This study aims to see how the influence of the independent variables
on the dependent variable using panel data analysis techniques
through the best model selection test, namely the chow test and the
hausman test. Where chosen the best regression results Fixed Effect
Model which shows that the poverty level variable has a negative and
significant effect on HDI, economic growth variables and district /
city minimum wages have a positive and significant effect on HDI,
while the population and inflation variables do not have a significant
effect on HDI in Central Java Province.