Analisis Faktor-Faktor yang Memengaruhi Produk Domestik Regional Bruto per Kapita di Indonesia

Abstract

Wealthiness is the goal of human development in the world. The achievement of human development has been the center of attention of administrators. The United Nations (UN) provides a standard measure of human development, namely the Human Development Index (HDI). This index is formulated based on three dimensions, namely the dimension of life expectancy, knowledge and decent living. However, this paper discusses only one dimension, namely the dimension of decent living, especially GDP per capita according to the business sectors of various provinces in Indonesia. The purposes of this paper are to explore the Indonesian GDP data in 2008 using biplot, to determine the best form of relationship between GDP per capita and the business sectors in Indonesia, to analyze multicollinearity problem, and to determine the best equation model of the relationship with multiple regression analysis. The results of the exploration are as follows. The biplot can explain 84,98% of total data variability. The biplot graphic shows that Jakarta is the province with the highest GDP value in all sectors. Based on the predictions of VIF (Variance Inflation Factor), it is found that three variables have the lowest value, which indicates that the variables are free from multicollinearity. The three variables are agriculture, mining, and electricity.