Spatial Modeling of Factors Determining Active Family Planning Participation in East Java: A Geographically Weighted Regression and Elastic Net Approach
DOI:
https://doi.org/10.33005/jasid.v2i01.58Keywords:
elastic net, gwr, family planning, spatial, east javaAbstract
This research identifies regional variations and determinants of active family planning (KB) participation in East Java using spatial modeling. The study utilizes data from the 2024 Family Information System (SIGA) of BKKBN East Java. To address multicollinearity and high-dimensional data, the Elastic Net method—combining Ridge and Lasso penalties—was employed for variable selection, retaining 6 out of 10 initial variables. Global modeling through Ordinary Least Squares (OLS) showed an Adjusted of 0.668. However, a Moran’s I test on the residuals revealed significant spatial autocorrelation (Z-score = 2.5677, p = 0.0102), justifying the use of Geographically Weighted Regression (GWR). The GWR model, using a Fixed Gaussian kernel with a bandwidth of 103.63, improved performance with an Adjusted of 0.7348. The results demonstrate spatial heterogeneity, where factors such as unmet need, households with children, and welfare levels have varying impacts across different districts. This spatial visualization helps identify priority areas for strategic resource allocation to enhance KB program efficiency
References
BKKBN, Laporan Akuntabilitas Kinerja Instansi Pemerintah (LAKIP) Perwakilan BKKBN Provinsi Jawa Timur Tahun 2023, Surabaya: BKKBN, 2024.
Y. S. Irawan, “Mapping the Effectiveness of Family Planning Counselors in Mobilizing Community Participation in East Java,” International Journal of Social Science, vol. 3, no. 4, pp. 112–120, 2024.
F. Nuraini and R. Indawati, “Determinan Unmet Need Keluarga Berencana di Jawa Timur: Analisis Data SDKI 2017,” Jurnal Kesehatan Reproduksi, vol. 12, no. 1, pp. 45–56, 2021.
G. James, D. Witten, T. Hastie, and R. Tibshirani, An Introduction to Statistical Learning: with Applications in R, 2nd ed. Springer, 2021.
S. M. Sinaga and A. S. Wigati, “Elastic Net Regression for Variable Selection in High-Dimensional Health Data,” Indonesian Journal of Statistics and Its Applications, vol. 6, no. 2, pp. 245–258, 2022.
M. T. J. Purba and S. S. Wahyuningsih, “Comparison of Lasso, Ridge, and Elastic Net in Predicting Contraceptive Prevalence Rate,” Communications in Mathematical Biology and Neuroscience, vol. 2023, 2023.
S. S. M. Wara, M. Nasrudin, A. F. Adziima, A. R. Pratama, A. T. Damaliana and A. Muhaimin, "A Weighted Soft Voting Approach for Classifying User Comments on Social Welfare Applications," 2025 IEEE 11th Information Technology International Seminar (ITIS), Mataram, Indonesia, 2025, pp. 497-503, doi: 10.1109/ITIS67966.2025.11308903.
M. R. Giatma and I. Zain, “Analisis Spasial Faktor-Faktor yang Mempengaruhi Cakupan Peserta KB Aktif di Provinsi Jawa Timur,” Jurnal Sains dan Seni ITS, vol. 12, no. 1, 2023.
A. Hapsery and H. S. Trishnanti, “Pemodelan Spasial Peserta KB Aktif di Provinsi Jawa Timur Menggunakan Geographically Weighted Regression,” Jurnal Biometrika dan Kependudukan, vol. 10, no. 1, 2021.
N. L. P. S. P. Astuti and I. G. N. M. Jaya, “Regularized Geographically Weighted Regression for Handling Multicollinearity in Spatial Modeling,” Journal of Physics: Conference Series, vol. 1863, no. 1, 2021.
H. Kuswanto and A. S. Ahmar, “Spatial Modeling of Family Planning Participation in East Java using Geographically Weighted Logistic Regression,” Journal of Applied Statistics, vol. 49, no. 8, 2022.
R. D. Kurniawati, “Spatial Heterogeneity of Contraceptive Discontinuation in East Java: A GWR Approach,” Demografi Indonesia, vol. 57, no. 2, pp. 88–101, 2021.
W. S. Wardani, “Factors Influencing the Selection of Long-Acting Contraceptive Methods in East Java Cities,” Journal of Public Health Research, vol. 11, no. 3, 2022.
