EARLY MARRIAGE MODELING IN WEST JAVA USING GEOGRAPHICALLY WEIGHTED REGRESSION
Woman early marriage defined as a marriage that happens to a woman under 16 years. Early marriage can affect the mother's and baby's health. Free sex, education, and poverty remain the three significant factors of early marriage. West Java Province is the third-highest province with cases of early marriage with 19.23% of cases in Indonesia in the year of 2020. The cases number of cases of early marriage in an area certainly has different characteristics. The proximity factor between regions can influence it. This study aims to model instances of early marriage in West Java Province by considering spatial aspects using the Geographically Weighted Regression (GWR) method. The existence of spatial dependence and heterogeneity is proven by Moran's Index and Breusch-Pagan value less than alpha (0.05). The results of GWR modeling using Gaussian Kernel Weights show that the Percentage of Woman Who Got Pregnant before 16 Years Old (X1), Average Years of Schooling for Woman (X2), and Percentage of Poor People (X3), have significant impact of the percentage of early marriage in West Java. The Percentage of Woman Who Got Pregnant before 16 Years Old (X1) variable and the Percentage of Poor People variable (X3) have a positively affects the percentage of early marriage in West Java Province in 2020. At the same time, Average Years of Schooling for Woman (X2) has a negative effect. Based on calculations, the best model in modeling early marriage in West Java Province is the GWR model, with an adjusted R2 value of 93.18%.
Paul P. Maternal Age at Marriage and Adverse Pregnancy Outcomes: Findings from The India Human Development Survey, 2011-2012. J Pediatr Adolesc Gynecol [Internet]. 2018;31(6):620–624. Available from: https://doi.org/10.1016/j.jpag.2018.08.004
Central Bureau of Statistics-Bappenas-UNICEF. Pencegahan Perkawinan Anak: Percepatan yang Tidak Bisa Ditunda [Internet]. Central Bureau of Statistics-Bappenas-UNICEF; 2020. Available from: https://www.unicef.org/indonesia/media/2851/file/Child-Marriage-Report-2020.pdf
Gibbs CM, Wendt A, Peters S, Hogue CJ. The Impact of Early Age at First Childbirth on Maternal and Infant Health. Paediatr Perinat Epidemiol [Internet]. 2012;26(Suppl. 1):259–284. Available from: https://pubmed.ncbi.nlm.nih.gov/22742615/
Afriani R, Mufdlilah. Analisis Dampak Pernikahan Dini pada Remaja Putri di Desa Sidoluhur Kecamatan Godean Yogyakarta. In: Prosiding Kontribusi Hasil Penelitian dan Pengabdian Masyarakat dalam Program Sustainable Development Goals (SDGs) [Internet]. Semarang; 2016. p. 235–243. Available from: https://jurnal.unimus.ac.id/index.php/psn12012010/article/view/2102
Kasjono HS, Wijanarko A, Amelia R, Fadillah D, Wijanarko W, Sutaryono. Impact of Early Marriage on Childhood Stunting. In: Proceedings of the 1st International Conference on Science, Health, Economics, Education and Technology (ICoSHEET 2019) [Internet]. Atlantis Press; 2020. p. 172–174. Available from: https://doi.org/10.2991/ahsr.k.200723.043
Octaviani F, Nurwati N. Dampak Pernikahan Usia Dini terhadap Perceraian di Indonesia. Ilmu Kesejaht Sos Humanit [Internet]. 2020;2(2):33–52. Available from: https://journal.unpas.ac.id/index.php/humanitas/article/view/2820
Marshan JN, Rakhmadi MF, Rizky M. Prevalence of Child Marriage and Its Determinants among Young Women in Indonesia. In: Child Poverty and Social Protection Conference [Internet]. 2013. p. 1–27. Available from: http://cpsp.smeru.or.id/Paper,%20Abstact,%20CV/0102_Joseph-paper.pdf
Muntamah AL, Latifiani D, Arifin R. Pernikahan Dini di Indonesia: Faktor dan Peran Pemerintah (Perspektif Penegakan dan Perlindungan Hukum Bagi Anak). Widya Yuridika J Huk [Internet]. 2019;2(1):1–11. Available from: https://doi.org/10.31328/wy.v2i1.823
Paul P. Effects of Education and Poverty on The Prevalence of Girl Child Marriage in India: A District–Level Analysis. Child Youth Serv Rev [Internet]. 2019;100(May):16–21. Available from: https://doi.org/10.1016/j.childyouth.2019.02.033
Central Bureau of Statistics. Statistik Kesejahteraan Rakyat 2020 [Internet]. Central Bureau of Statistics. 2020. Available from: https://www.bps.go.id/publication/2020/11/23/8838aec3d69e019d5fce6779/statistik-kesejahteraan-rakyat-2020.html
Qibtiyah M. Faktor yang Mempengaruhi Perkawinan Muda Perempuan. J Biometrika dan Kependud [Internet]. 2014;3(1):50–58. Available from: http://journal.unair.ac.id/download-fullpapers-biometrik289f6d5a6dfull.pdf
Wulanuari KA, Anggraini AN, Suparman S. Faktor-Faktor yang Berhubungan dengan Pernikahan Dini pada Wanita. J Ners dan Kebidanan Indones [Internet]. 2017;5(1):68–75. Available from: http://dx.doi.org/10.21927/jnki.2017.5(1).68-75
Johnson FA, Abu M, Utazi CE. Geospatial Correlates of Early Marriage and Union Formation in Ghana. PLoS One [Internet]. 2019;14(10):1–17. Available from: https://doi.org/10.1371/journal.pone.0223296
McDougal L, Shakya H, Dehingia N, Lapsansky C, Conrad D, Bhan N, et al. Mapping the Patchwork: Exploring The Subnational Heterogeneity of Child Marriage in India. SSM - Popul Heal [Internet]. 2020 Dec;12(December):1–12. Available from: https://doi.org/10.1016/j.ssmph.2020.100688
Tigabu S, Liyew AM, Geremew BM. Modeling Spatial Determinates of Teenage Pregnancy in Ethiopia; Geographically Weighted Regression. BMC Womens Health [Internet]. 2021;21:1–12. Available from: https://doi.org/10.1186/s12905-021-01400-7
Howell FM, Porter JR, Matthews SA. Recapturing Space: New Middle-Range Theory in Spatial Demography. In: Porter HF, Matthew SA J, editors. Spatial Demography Book Series [Internet]. Volume 1. San Diego: Springer; 2016. Available from: https://link.springer.com/book/10.1007/978-3-319-22810-5
Fotheringham S, Brunsdon C, Charlton M. Geographically Weighted Regression: The Analysis of Spatially Varying Relationships [Internet]. 1st editio. England: Wiley; 2002. 1-288 p. Available from: https://www.wiley.com/en-us/Geographically+Weighted+Regression%3A+The+Analysis+of+Spatially+Varying+Relationships+-p-9780471496168
Hastuti P, Aini FN. Gambaran Terjadinya Pernikahan Dini Akibat Pergaulan Bebas. J Ris Kesehat [Internet]. 2016;5(1):11–13. Available from: https://ejournal.poltekkes-smg.ac.id/ojs/index.php/jrk/article/view/444
Kamal SM. Decline in Child Marriage and Changes in Its Effect on Reproductive Outcomes in Bangladesh. J Heal Popul Nutr [Internet]. 2012;30(3):317–330. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3489948/
Sutanto EB, Jabir GA, Fitrial NH, Ningsih NLPYS, Andhasah S, Nooraeni R. Faktor-Faktor yang Memengaruhi Pernikahan Dini pada Wanita Usia 20-24 di Indonesia Tahun 2017: Penerapan Metode Regresi Logistik Biner dengan Penyesuaian Resampling Data Imbalance. J Stat dan Apl [Internet]. 2019;3(1):39–49. Available from: https://doi.org/10.21009/JSA.03105
Widiantara A, Yuhan RJ. Pengaruh Variabel Sosial Ekonomi terhadap Perkawinan Usia Anak pada Wanita di Indonesia Tahun 2017. STATISTIKA [Internet]. 2019;19(2):139–149. Available from: https://doi.org/10.29313/jstat.v19i2.5205
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