Application of Principal Component Analysis in Identifying Factors Affecting the Human Development Index

Authors

  • Muhammad Faisal Universitas Negeri Padang
  • Fadhilah Fitri Universitas Negeri Padang
  • Zilrahmi Universitas Negeri Padang

Keywords:

Human Development Index, Principal Component Analysis, Eigen Value, Scree Plot

Abstract

This study examines the Human Development Index (HDI) in West Sumatra Province in 2023. The HDI is an essential indicator for measuring the success of efforts to improve the quality of human life. This research aims to identify the key factors that influence the HDI. The HDI is constructed from three fundamental dimensions that indicate human quality of life: health, education, and economy. The factors within each dimension tend to be strongly correlated, as they mutually influence one another, potentially leading to multicollinearity issues. Therefore, an analysis is conducted to reduce the number of original variables into new orthogonal variables while preserving the total variance of the original variables using Principal Component Analysis (PCA). Based on this background, the study applies PCA to address multicollinearity and to identify new, more representative variables. The study findings indicate that the factors influencing the HDI are the education and economic and health welfare indexes.

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Published

2024-12-19

How to Cite

Faisal, M., Fitri, F., & Zilrahmi. (2024). Application of Principal Component Analysis in Identifying Factors Affecting the Human Development Index. Mathematical Journal of Modelling and Forecasting, 2(2), 30–36. Retrieved from https://mjomaf.ppj.unp.ac.id/index.php/mjmf/article/view/26