The Assessment of Human Development Index in West Java Province of Indonesia Using Regression and R Programming Technology

The effectiveness of economic development in developing countries is often only judged on an economic basis, even though it cannot be denied that improving the quality of human resources is also a sign of the success of economic development in a region. This study aims to determine and examine the variables that affect the HDI of West Java Province. We compared the two methods, Ordinary Least-Squares (OLS) and Weighted Geographic Regression (GWR), to represent non-spatial and spatial approaches. Twenty-seven districts in West Java Province in Indonesia were considered based on the Indonesian Central Statistics Agency dataset. The method used in this research is dataset analysis sourced from the website of the Central Statistics Agency (BPS). Six quantitative factors related to HDI were evaluated: life expectancy, expected length of education, the average length of education, per capita expenditure, number of the public health center, and open unemployment rate. The results of this study indicate that the variables of life expectancy, length of education, the average length of education, and expenditure per capita are four variables that have a significant effect on HDI figures in West Java, where GWR performs better than the OLS technology with a coefficient of determination (R2) and AIC value of 99.24113% and 35.10531. Further research is further developed by using robust regression to address outliers in several locations and adopting important factors that influence local policies on local policies.