Determination of the Human Development Index: Panel Data Analysis of Per Capita GRDP, Open Unemployment Rate, and Health Complaints in Java Island 2015-2024
Abstract
Determination of the Human Development Index: Panel Data Analysis of Per Capita GRDP, Open Unemployment Rate, and Health Complaints in Java Island 2015–2024. This study aims to analyze the influence of GRDP per capita, Open Unemployment Rate (TPT), and Health Complaints on the Human Development Index (HDI) in six provinces in Java Island during the period 2015–2024. Using a quantitative approach based on panel data regression analysis, this study processed 60 observation units sourced from the official publication of the Central Statistics Agency (BPS). The results of the model selection test through the Chow Test and Hausman Test determined the Fixed Effect Model (FEM) as the best estimation model. The results of the simultaneous test showed that the three independent variables together had a significant effect on the HDI (F = 641.0955; prob. = 0.0000) with an Adjusted R-squared value of 0.9886, which means that 98.86% of the variation in the HDI in Java Island can be explained by the model. Partially, only GRDP per capita has a positive and significant effect on the HDI (coefficient = 13.3333; prob. = 0.0000), confirming that regional economic capacity is the dominant determinant of human development in Java. Meanwhile, Health Complaints (prob. = 0.6413) and TPT (prob. = 0.5637) do not have a significant effect on the HDI, which is thought to be caused by the subjective-perceptual nature of health variable measurements and the effectiveness of social safety net programs in mitigating the impact of unemployment. This study recommends inclusive and equitable economic growth policies, strengthening primary health services, and optimizing social financial instruments to accelerate the achievement of sustainable human development in Java.
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Amrullah, R. (2022). Analysis of the Influence of Per Capita GRDP, Health Sector Budget, and Education Sector on the Human Development Index of Regencies in Madura Island.JIE Journal of Economics, 6(1), 90–98. https://doi.org/10.22219/JIE.V6I1.19816
Anwar, R., Rassiyanti, L., & Pitri, R. (2025). Gaussian Kernel Regression Analysis to Predict the Human Development Index (HDI) Based on Socio-Economic Factors of Provinces in Indonesia affecting the HDI. In contrast to rigid parametric models (Dani et al., 2021), regression has an effect on.Research Journal of Mathematics and Natural Sciences Cluster, 4(December 2025), 44–53. https://doi.org/: https://doi.org/10.55606/jurrimipa.v4i3.7017
Arianto, E., & Cahyono, H. (2025). THE EFFECT OF HUMAN DEVELOPMENT INDEX AND UNEMPLOYMENT ON POVERTY IN INDONESIA 2018-2023. Finance : International Journal of Management Finance, 2(4), 59–64. https://doi.org/10.62017/FINANCE.V2I4.83
Aryanti, E. D., Sukardi, A. S., & Correspondence, ). (2024). Unemployment, education, health, and income inequality on poverty in Indonesia.Journal of Economics Research and Policy Studies, 4(2), 117–133. https://doi.org/10.53088/JERPS.V4I2.918
Baltagi, B. H. (2021).Econometric Analysis of Panel Data. https://doi.org/10.1007/978-3-030-53953-5
BPS. (2024). West Java's Human Development Index (HDI) reached 74.24 in 2023 - Sumedang Regency Central Statistics Agency. https://sumedangkab.bps.go.id/id/pressrelease/2024/07/15/160
Caniago, M. A. I., & Wibowo, M. G. (2024). Determinants of Human Development Index in Indonesia with Maqashid Sharia approach. Scientific Journal of Islamic Economics, 10(1), 200–209. https://doi.org/10.29040/JIEI.V10I1.12353
Creswell, J. W., & Creswell, J. D. (2022). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (6th ed.). SAGE Publications.
Garces Velastegui, P., & Garces Velastegui, P. (2020). Humanizing Development: Taking Stock of Amartya Sen’s Capability Approach. Developmental Problems, 51(203), 191–212. https://doi.org/10.22201/IIEC.20078951E.2020.203.69586
Grossman, M. (2022). The demand for health turns 50: Reflections. Health Economics (United Kingdom), 31(9), 1807–1822. https://doi.org/10.1002/hec.4563
Gujarati, D. N., & Porter, D. C. (2020). Basic Econometrics (6th ed.). 1–940. https://www.goodreads.com/book/show/57618067-basic-econometrics-6th-edition
Hadi, N., Windhani, K., & Fauzi, H. (2025). DETERMINANTS OF HUMAN DEVELOPMENT INDEX IN CENTRAL JAVA. International Conference on Sustainable Economics, Management, and Accounting (ICSEMA 2025), 01(01), 2049–2065. https://doi.org/https://doi.org/10.32424/icsema.1.1.314
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2022). Multivariate Data Analysis. 832. https://books.google.co.id/books/about/Multivariate_Data_Analysis.html?hl=id&id=PONXEAAAQBAJ&redir_esc=y
Nasution, M. (2019). Determinant Factors of the Human Development Index in Indonesia.Budget Journal, 4(1), 121–143. https://doi.org/https://doi.org/10.22212/jbudget.v4i1.43
Prasetyo, P. Eko; Cahyani, E. N. (2022). Investigating Keynesian Theory in Reducing Unemployment and Poverty in Indonesia.The Journal of Asian Finance, Economics and Business, 9(10), 39–48. https://doi.org/10.13106/JAFEB.2022.VOL9.NO10.0039
Sanoussi, Y., Dossou, I. A., & Couchoro, M. (2024). Effect of health shocks on the absenteeism magnitude at work in Togo: is health insurance a mitigating factor? Health Economics Review, 14(1), 104. https://doi.org/10.1186/S13561-024-00578-4
Sugiyono, & P. L. (2024).Communication Research Methods – Revised Edition – Bandung Bookstore. https://cvalfabeta.com/product/metode-penelitian-komunikasi/
Supandi, E. D., Yulianti, R., & Fauzy, A. (2022). Panel Data Regression to Determine Factors Affecting Human Development Index (HDI) in Regencies/Cities of the Special Region of Yogyakarta Province.Statistics, 22(2), 157–163. https://doi.org/https://doi.org/10.29313/statistika.v22i2.1122
Syahidah, S. A., & Wangi, L. C. (2020). Determinants of Human Development Index with the Maqashid Sharia Asy-Syatibi Approach in East Java.Scientific Journal of Islamic Economics, 7(1), 221–233.
UNDP. (2023). UNDP United Nations Development Programme, Human Development Index (HDI). https://hdr.undp.org/data-center
Wooldridge, J. M. . (2019). Introductory Econometrics.
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