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All Journal Indonesian Journal of Statistics and Its Applications
Riwi Dyah Pangesti
Department of Statistics, The University of Bengkulu, Indonesia
Computer Science & IT Mathematics Other

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Segmentation of Health Status in Coastal Areas Using the Finite Mixture Partial Least Squares (FIMIX-PLS) Method: An Analysis Based on Socioeconomic Factors Riwi Dyah Pangesti; Idhia Sriliana; Susi Wijuniamurti; Alus Ahmad Suhaimi; Athaya Fairuzindah; Anne Mudya Yolanda
Indonesian Journal of Statistics and Applications Vol 10 No 1 (2026): Vol 10 Issue 1 June 2026
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v10i1p94-104

Abstract

The purpose of this study is to model and segment the health status at the regency/city level in the Southern Sumatra region by considering the complexity of relationships among the variables of Poverty, Economic Welfare, Environment, Utilization of Health Services, and Educational Attainment. The method used to form latent segments is Finite Mixture Partial Least Square Structural Equation Modeling (FIMIX-PLS SEM), which classifies latent heterogeneity based on finite mixture distributions into membership probabilities for each segment. The results obtained from the FIMIX-PLS SEM analysis indicate the formation of 2 optimal segments based on nearly all segment selection criteria. Segment 1 consists of 49 regencies/cities that are more strongly influenced by poverty and economic welfare. Segment 2 consists of 11 regencies/cities that are more strongly influenced by environmental factors, utilization of health services, and educational attainment. The formation of segments also increases the R² value, thereby increasing the variation in Health Degree that can be explained by the exogenous latent variables (Poverty, Economic Welfare, Environment, Utilization of Health Services, and Educational Attainment). Therefore, FIMIX-PLS SEM is capable of improving the accuracy of the analysis results.
Co-Authors Alus Ahmad Suhaimi Anne Mudya Yolanda Athaya Fairuzindah Idhia Sriliana Wijuniamurti, Susi