Model Regresi Spasial pada Proporsi Tenaga Kerja Perempuan di Provinsi Sulawesi Selatan
Abstract
Female labor force participation in South Sulawesi, Indonesia, is an urgent issue in the context of economic development and gender equality. For this issue, spatial regression is performed to build the relationship between variables that influence female labor force participation in the region. This study performed the Spatial Autoregressive (SAR) model, which is a regression model where the response variable has spatial correlation. The value of Moran's I for the proportion of female labor force in South Sulawesi is 0.05125, meaning there is a positive spatial autocorrelation. The results obtained showed that the expected length of schooling and adjusted per capita expenditure have a positive effect and the average length of schooling has a negative effect on the proportion of female labor force in South Sulawesi.
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References
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Lutfi, A., Aidid, M. K., & Sudarmin, S. (2019). Identifikasi Autokorelasi Spasial Angka Partisipasi Sekolah di Provinsi Sulawesi Selatan Menggunakan Indeks Moran. Journal of Statistics and Its Application on Teaching and Research, 1(2), 1–8.
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Anwar, R., Djuraidah, A., & Wigena, A. H. (2020). Spatial Autoregressive Models with Heteroskedasticity Disturbance using Generalized Method of Moments. International Journal of Scientific and Research Publications, 9(7), 8–12. https://doi.org/10.4108/eai.2-8-2019.2290489
Arbia, G., Bera, A. K., & Dog, O. (2020). Testing Impact Measures in Spatial Autoregressive Models. International Regional Science Review, 43(1), 40–75. https://doi.org/10.1177/0160017619826264
Diana, S., Jauri, R., & Chowanda, A. (2019). ScienceDirect ScienceDirect Spatial autoregressive ( SAR ) model for average expenditure of Papua Province. Procedia Computer Science, 157, 537–542. https://doi.org/10.1016/j.procs.2019.09.011
Islamy, U., Novianti, A., Hidayat, F. P., & Kurniawan, M. H. S. (2021). Application of the Spatial Autoregressive ( SAR ) Method in Analyzing Poverty in Indonesia and the Self Organizing Map ( SOM ) Method in Grouping Provinces Based on Factors Affecting Poverty. International Journal of Statistics and Data Science, 1(2), 76–83.
Jaya, I., & Chadidjah, A. (2021). Spatial Autoregressive in Ecological Studies : A Comparison of the SAR and CAR Models. Engineering Letters, 29(1).
Kebede, A., Tavasszy, L., Gebresenbet, G., & Ljungberg, D. (2023). Research in Transportation Economics Modelling the effect of spatial determinants on freight ( trip ) attraction : A spatially autoregressive geographically weighted regression approach. Research in Transportation Economics, 99(March), 101296. https://doi.org/10.1016/j.retrec.2023.101296
Liu, J., Mao, L., Caceres, G. A., Feigelson, E. D., Moustafa, S. S. R., & Khodairy, S. S. (2020). Spatial autoregressive with a spatial autoregressive error term model and its parameter estimation with two-stage generalized spatial least square procedure Spatial autoregressive with a spatial autoregressive error term model and its parameter estimation. Journal of Physics, 1(4). https://doi.org/10.1088/1742-6596/1217/1/012104
Lutfi, A., Aidid, M. K., & Sudarmin, S. (2019). Identifikasi Autokorelasi Spasial Angka Partisipasi Sekolah di Provinsi Sulawesi Selatan Menggunakan Indeks Moran. Journal of Statistics and Its Application on Teaching and Research, 1(2), 1–8.
Ocampo, S. R., & Barrios, E. B. (2022). Sparse Spatial Autoregressive and Spatio-temporal Models for COVID-19 Incidence in the Philippines. Philippine Journal of Science, 151(October), 1979–1994.
Pramesti, W., Science, N., & Suharsono, A. (2019). Spatial Autoregressive Model For Modeling Of Human Development Index. International Journal of Mechanical Engineering and Technology (IJMET), 10(01), 626–632.
Suryowati, K., Bekti, R., Fajiriyah, R., & Siswoyo, E. (2021). The Effect of Regional Characteristics and Relationship Among Locations In Air Pollution Using Spatial Autoregressive ( SAR ) and Spatial Durbin Models ( SDM ) The Effect of Regional Characteristics and Relationship Among Locations In Air Pollution Using. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1776/1/012051
Ussyarovi, A., & Oktora, S. I. (2023). Proporsi Perempuan yang Bekerja pada Posisi Manajerial di Indonesia Tahun 2015-2021 : Pendekatan Feasible Generalized Least Square. Jurnal Statistika Dan Aplikasinya, 7(1), 62–73.
Published
2025-04-17
How to Cite
MAR'AH, Zakiyah; M, Mutiara; PRATIWI, Andi Citra.
Model Regresi Spasial pada Proporsi Tenaga Kerja Perempuan di Provinsi Sulawesi Selatan.
EKSPONENSIAL, [S.l.], v. 16, n. 1, p. 46-50, apr. 2025.
ISSN 2798-3455.
Available at: <https://jurnal.fmipa.unmul.ac.id/index.php/exponensial/article/view/1466>. Date accessed: 19 apr. 2025.
doi: https://doi.org/10.30872/eksponensial.v16i1.1466.
Section
Articles
