Factor Analysis on Variables Related to The Human Development Index Using Principal Component Analysis in East Java in 2022
Kata Kunci:
Human Development Index, Principal Component Analysis, Welfare Factors, Health FacilitiesAbstrak
Human development is very important in supporting the welfare and progress of a region. Through development, the government and policy makers strive to create conditions that allow people to live long, healthy, and productive lives. One of the indicators used to assess the success of development is the Human Development Index (HDI), which includes the dimensions of health, education, and living standards. Based on previous research, there are several variables that have an influence on the HDI of a region. Therefore, this study uses the Principal Component Analysis (PCA) method and factor analysis to identify the main components that affect HDI in East Java. The data used in this study is secondary data taken from the Central Statistics Agency with a total of 38 observations according to districts/cities in East Java in 2022. The research variables include RLS, HLS, AHH, population density, health index, education index, and health facilities. The analysis begins with a description of the data characteristics, a multivariate assumption test, and a data sufficiency test before applying PCA and factor analysis. The results showed that the variables of population density and health facilities were found to have high variation, while other variables had lower variations. The data meets the assumptions, is sufficient to be factored in, and analyzed further. There are two main components formed, namely the Social Welfare and Quality of Life Indicators and the Health Support Facility Indicators, which summarize all research variables significantly. These two new factors are expected to provide insight for local governments in determining development policy priorities and welfare programs.
Referensi
[1] F. Dafi, “Re-design pineapple chip packaging using the Kansei Engineering method,” Pekanbaru: UIN SUSKA RIAU, 2017.
[2] A. Fauzi and R. Supriyadi, “Detection of Breast Cancer Disease by Feature Selection based on Principal Component Analysis and Random Forest,” Infortech Journal, vol. 2, no. 1, p. 96, 2020. [Online]. Available: https://ejournal.bsi.ac.id/ejurnal/index.php/infortech/article/view/8079/4111
[3] D. A. Harahap, “Analysis of Factors Affecting the Human Development Index (HDI) in Indonesia,” Dspace UII, p. 37, 2022. [Online]. Available: https://dspace.uii.ac.id/handle/123456789/40496
[4] K. Hariyadi and I. I. Dewi, “Dominant Factors Affecting Student Participation in Sports Extracurricular Activities,” SPRINTER: Journal of Sport Science, vol. 4, no. 3, pp. 423–428, 2023.
[5] N. S. Lubis, Y. Deliyanti, and M. A. Hutajulu, “Parametric Statistical Requirements Test Analysis for Population Growth and Density Analysis,” Journal of Social Service, p. 134, 2023.
[6] S. Manullang et al., “Analysis of the causative factors of heart disease using the Principal Component Analysis (PCA) method,” Lebesgue: Journal of Mathematics, Mathematics and Statistics Education, vol. 5, no. 3, pp. 1568–1588, 2024.
[7] A. Melliana and I. Zain, “Statistical Analysis of Factors Affecting the Human Development Index in Regencies/Cities of East Java Province Using Panel Regression,” POMITS Journal of Science and Arts, p. 237, 2013. [Online]. Available: https://ejurnal.its.ac.id/index.php/sains_seni/article/view/4844/1385
[8] R. Muin et al., “Comparison of Factors Influencing Young Investors' Decisions in Conventional or Sharia Investment in Makassar City,” Media Research Business & Management, vol. 20, no. 1, pp. 51–62, 2020.
[9] E. Nasri et al., “Factors Affecting Students' Low Achievement in Mathematics Exams Using Factor Analysis Methods,” Lebesgue: Scientific Journal of Mathematics, Mathematics and Statistics Education, vol. 3, no. 1, pp. 12–28, 2022.
[10] M. Z. Nasution et al., “Application of Principal Component Analysis (PCA) in Determining Dominant Factors Affecting Cervical Cancer Patients,” Journal of Artificial Intelligence, pp. 204–210, 2019.
[11] P. D. Nurhasan, “The Effectiveness of Macromedia Flash-Based Social Studies Learning Media to Increase Motivation and Learning Outcomes of Elementary School Students,” Journal of Civics and Social Studies, pp. 80–89, 2021.
[12] R. P. Rahmadina, A. Abadila, F. Leviany, and S. P. Rahayu, “Pre-processing of MANOVA One-Way Data and Analysis of Titanic Ship Accident Data,” vol. 1, 2019.
[13] F. H. Ramadhan, “Factors Affecting the Human Development Index in Malang Regency,” FEB Student Scientific Journal, vol. 4, 2018. [Online]. Available: https://jimfeb.ub.ac.id/index.php/jimfeb/article/view/4602
[14] E. Rayana, R. A. Rohmah, and Hardianto, “Analysis of Factors Affecting Students' Interest in Choosing Education Study Program,” 2022.
[15] M. Zulfadhli, I. N. Budiantara, V. Ratnasari, A. S. Suriaslan, dan R. C. Dhewy, “A statistical inference framework for FSNBLR: Modeling underdeveloped regional status in Eastern Indonesia,” MethodsX, Art. no. 103746, 2025.
[16] M. Zulfadhli, I. N. Budiantara, V. Ratnasari, dan A. S. Suriaslan, “Semiparametric regression estimator of Fourier series for categorical data,” IAENG International Journal of Applied Mathematics, vol. 55, no. 7, pp. 2157–2164, 2025.
[17] S. Saida, M. Zulfadhli, dan M. Jurais, “Analisis faktor-faktor yang mempengaruhi vaccine hesitancy (keragu-raguan vaksin) pada mahasiswa di era pandemi COVID-19,” Preventif: Jurnal Kesehatan Masyarakat, vol. 13, no. 1, pp. 144–154, 2022.
[18] A. M. Achmad, M. Zulfadhli, dan N. Nurfaudzan, “Binary logistic regression on the status of unemployment rate in West Java Province in 2023,” Likelihood: Journal of Statistics and Its Application, vol. 1, no. 1, pp. 30–34, 2025.
[19] M. I. Dirwan, N. W. Surtini, dan M. Zulfadhli, “Learning by gaming: Extramural English gaming effect on Indonesian senior high students’ pragmatic competence,” Journal of Pragmatics Research, vol. 7, no. 1, pp. 1–20, 2025.
[20] B. W. Otok, M. Zulfadhli, R. D. Pangesti, M. I. Kurniawan, A. E. P. Haryanto, dan I. Kurniawan, “Comparison of binary probit regression and Fourier series nonparametric logistic regression in modeling diabetes status at Hajj General Hospital Surabaya,” Barekeng, vol. 20, no. 1, pp. 255–270, 2026.
Editorial Office