Keywords:-

Keywords: Human Development Index; GSCA; SEM; and Overall Goodness of Fit

Article Content:-

Abstract

The Human Development Index (HDI) serves as a primary indicator in assessing the success of human development within a country. This study aims to analyze the latent variables influencing the HDI of Central Java in 2023 using the Generalized Structured Component Analysis (GSCA) method. GSCA is a variance-based Structural Equation Modeling (SEM) approach that does not require the assumption of multivariate normality and incorporates overall goodness-of-fit measures to evaluate the model’s alignment with the data This research utilizes population data sourced from the Central Bureau of Statistics (BPS) of Central Java Province and examines the key indicators constituting the HDI. The analytical findings indicate that all indicators significantly contribute to their respective latent variables. Moreover, the education and health variables exert a significant influence on the economic variable. Furthermore, the HDI is substantially affected by economic, health, and education factors. The model evaluation results demonstrate a Fit Index (FIT) value of 62.3%, reflecting the model’s explanatory capacity, and a Goodness of Fit Index (GFI) value of 96.9%, signifying a strong model fit. These findings provide a comprehensive understanding of the determinants of the HDI in Central Java and are expected to serve as a reference for policymakers in formulating strategies to enhance public welfare and overall quality of life.

References:-

References

Badan Pusat Statistik. 2024a. Analisis Kualitas Pembangunan Manusia Provinsi Jawa Tengah 2023 (Badan Pusat Statistik (ed.)). Badan Pusat Statistik.

UNDP. 2022.. Human Development Report 2021/2022.

Jasasila. 2020. Analisis Dimensi Pembentuk Indeks Pembangunan Manusia (IPM) Provinsi Jambi 2010-2019. Ekonomis: Journal of Economics and Business, 4(2), 389–396.

Badan Pusat Statistik. (2024b). Indeks Pembangunan Manusia 2023. Badan Pusat Statistik.

Fitriani, F., Rusgiyono, A., & Windiharih, T. 2020. Penerapan Metode Generalized Structured Component Analysis pada Kepuasan Konsumen (Studi Kasus: Pasien Klinik Q). Jurnal Gaussian, 9(4), 454–463.

Brigo, D., Dalessandro, A., Neugebauer, M., & Triki, F. 2008. A Stochastic Processes Toolkit for Risk Management. SSRN Electronic Journal.

Dmouj, & Abdelmoula. 2006. Stock price modelling: Theory and Practice. Amsterdam: BMI Paper.

Hwang, H., & Takane, Y. 2004.. Generalized Structured Component Analysis. Psychometrika.

Ghozali, I. 2008. Generalized Structured Component Analysis (GSCA) Model Persamaan Struktural Berbasis Komponen. Badan Penerbit Universitas Diponegoro.

Kusumadewi, K. A., & Ghozali, I. 2013. Generalized Structured Component Analysis (GeSCA) Model Persamaan Struktural Berbasis Komponen. Badan Penerbit Universitas Diponegoro.

Ngatno. 2019. Monograf Analisis Data Penelitian dengan Program GeSCA (2nd ed.). Penerbit Undip Press.

Rizkia, A. D., Ispriyanti, D., & Sugito, S. 2022. Pengaruh Kualitas Layanan Dan Citra Merek Terhadap Kepuasan Pengguna Youtube Premium Menggunakan Partial Least Square. Jurnal Gaussian, 11(3), 323–331.

Hwang, H. 2009. Regularized Generalized Structured Component Analysis. Psychometrika, 74(3), 517–530.

Hair, Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. 2019. Multivariate Data Analysis. Eighth Edition.

Thompson, P. A., Bishop, D. V. M., Eising, E., Fisher, S. E., & Newbury, D. F. 2020. Generalized Structured Component Analysis in candidate gene association studies: Applications and limitations. Wellcome Open Research, 4, 1–15.

Todaro, M. P., & Smith, S. C. 2020. Economic Development. Thirteenth Edition. In Pearson (13th ed., Issue 13th Edition). Pearson Education Limited.

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Salsabila, A. D., ., S., & Rusgiyono, A. (2025). Structural Equation Modeling with Generalized Structured Component Analysis (SEM-GSCA) Estimation on The Human Development Index (HDI) of Central Java Province Equipped. International Journal Of Mathematics And Computer Research, 13(06), 5299-5304. https://doi.org/10.47191/ijmcr/v13i6.04