Application of the PCA Method to Identify Factors Affecting Poverty Rates in West Kalimantan

Abstrak

Poverty is one of the most challenging problems faced by developing countries like Indonesia. Poverty is influenced by various factors such as the economy, education, population, and several other factors. In this study, factors that affect the poverty rate in West Kalimantan are identified using the Principal Component Analysis method. To identify existing factors and determine the causes of poverty in West Kalimantan, it is necessary to compact the data without changing the significance of the data. The factors used are education and economic factors consisting of thirteen variables that are thought to affect poverty. Based on the Principal Component Analysis method of thirteen variables, eight reduced variables were obtained that can be used to identify poverty. From the eight variables used, three main components were formed that affect the poverty rate in West Kalimantan with a total variance value of  and a correlation value of more than  for each component. This shows that the poverty rate in West Kalimantan can be identified with the main components formed to explain the factors used.