Application of Principal Component Regression in Analyzing Factors Affecting Human Development Index

The human development index is an indicator to measure the quality of people's lives. If number increases, better There are many factors or variables that affect level index, ranging from economic issues, education, health and other factors. However, not all have a positive significant effect. Thus, this study aims determine significantly in South Sulawesi. method used principal component regression which involves variables. involved expected length schooling, average percentage population with highest Diploma, Bachelor Masters school enrollment rate for people aged 7-24 years, poor people, spending per capita, life expectancy. From results data processing using analysis, 4 main components obtained represent components, regression, taking into account cumulative proportion > 80%. indicate Sulawesi influenced by involved, equal 95.7%. With variable poverty being one has negative effect on HDI shows higher poverty, lower index. order increase Indonesia, it necessary take strategic steps improve welfare.