Analisis Faktor Indeks Pembangunan Manusia Menggunakan Principal Component Analysis di Provinsi Sulawesi Selatan
DOI:
https://doi.org/10.53696/venn.v4i3.318Keywords:
Indeks Pembangunan Manusia, Principal Component Analysis, Sulawesi SelatanAbstract
This study aims to identify the main factors that influence the Human Development Index in South Sulawesi Province and group variables on the factors formed by the Principal Component Analysis method. The data used in this research is secondary data obtained from the official website of the Central Bureau of Statistics (BPS) of South Sulawesi Province with the unit of observation, namely 24 districts / cities in South Sulawesi Province in 2024. The data was analyzed using the Principal Component Analysis method by reducing the dimensions of large and correlated data into small and uncorrelated dimensions. The results showed that of the nine variables analyzed, two main components were identified that contributed to the formation of the Human Development Index in South Sulawesi Province in 2024, namely the first human quality of life factor with the largest eigenvalue of 3.948 (56.405%), and the second economic and employment factor with an eigenvalue of 1.243 (17.76%). The main factor is interpreted as the quality of human life factor, as it consists of variables most influenced by Expected Years of Schooling (0.875), followed by Average Years of Schooling (0.868), and Life Expectancy (0.772). Meanwhile, the supporting factors were identified as economic and labor factors, which include Labor Force Participation Rate (0.777), Gross Regional Domestic Product (0.735), Per Capita Expenditure (0.726), and Open Unemployment Rate (0.681).
Downloads
References
Badan Pusat Statistik. (2021). Indeks Pembangunan Manusia 2021. Badan Pusat Statistik. Jakarta.
Badan Pusat Statistik Sulawesi Selatan. (2024). Indeks Pembangunan Manusia Sulawesi Selatan Tahun 2024. Badan Pusat Statistik. Sulawesi Selatan.
Faelassuffa, A., & Yuliani, E. (2021). Kajian Tingkat Partisipasi Angkatan Kerja Terhadap Indeks Pembangunan Manusia. Jurnal Kajian Ruang, 1(1), 49-61.
Faisal, M., Fitri, F., & Zilrahmi. (2024). Application of Principal Component Analysis in Identifying Factor Affecting the Human Development Index. Mathematical Journal of Modellling and Forecasting, 02(2), 30-36.
Jolliffe, I. T. (2002). Principal Component Analysis, Second Edition. Springer-Verlag: New York.
Khairunnisah, & Fitriyani, A. L. (2023). Bonus Demografi dan Visi Indonesia Emas 2045. Badan Pusat Statistik (01–2 ed.).
Kusnandar & Dadan. (2003). Metode statistik dan Aplikasinya dengan Minitab dan Excel. Yogyakarta : Madyan Press.
Lestari, A., Samsir, A., Kamaruddin, C. A., & Syafri, M. (2024). Pengaruh Bonus Demografi Terhadap Pertumbuhan Ekonomi di Provinsi Sulawesi Selatan. Inovasi Ekonomi dan Bisnis, 06(1), 25–34.
Rinawati, Y., Miftitah, F. A. N., Aldianto, F. A., Faj'ri, M. H., & Sujianto, A. E. (2022). Pengaruh PDRB, Kemiskinan, dan Jumlah Penduduk Terhadap IPM di Provinsi Jawa Timur Tahun 2017-2021. Jurnal Ecogen, 5(4), 517-527.
Sania, L., Balafif, M., & Imamah, N. (2021). Pengaruh PDRB, Tingkat Pengangguran Terbuka dan UMR Terhadap Indeks Pembangunan Manusia di Kabupaten dan Kota Provinsi Jawa Timur. Baharnomics, 2(1), 33-46.
Wijayanti, M. A. K., Persada, S. F., & Nareswari, N. (2021). Analisis Faktor Kepuasan Pelanggan terhadap Layanan Perusahaan Daerah Air Minum. Jurnal Sains dan Seni ITS, 10 (1), 2337-3520.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Muta' Alya Ramadhani, Besse Helmi Mustawinar, Ahmad Syukur Daming
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors certify that:
- if the manuscript is co-authored, they are authorized by their co-authors to enter into these arrangements.
- the work described has not been formally published before in a registered ISSN or ISBN media, except in the form of an abstract or as part of a published lecture, review, or thesis.
- it is not under consideration for publication elsewhere,
- its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- they secure the right to reproduce any material that has already been published or copyrighted elsewhere (it does not infringe on the rights of others).
- they agree to the license and copyright agreement.
All articles published are licensed under Creative Commons Attribution 4.0 International License.
- Authors retain copyright and other proprietary rights related to the article.
- Authors retain the right and are permitted to use the substance of the article in their own future works, including lectures and books.
- Authors grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution License (CC BY 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post or self-archive their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
