DETERMINAN EKONOMI, DEMOGRAFI, DAN SOSISOLOGI TERHADAP PERCERAIAN DI INDONESIA

Dini Leonyta Agustin, Kukuh Arisetyawan

Abstract


ABSTRAK


Peningkatan angka perceraian di Indonesia dalam beberapa tahun terakhir menunjukkan bahwa ketahanan keluarga menghadapi tekanan yang semakin kompleks akibat perubahan ekonomi, demografi, dan sosial masyarakat. Penelitian ini bertujuan untuk menganalisis determinan perceraian di Indonesia menggunakan pendekatan regresi logistik dengan data Survei Sosial Ekonomi Nasional (SUSENAS) Kor 2023. Variabel independen yang dianalisis meliputi pengangguran, wilayah tempat tinggal, jenis kelamin, usia, tingkat pendidikan, dan kondisi kesehatan kepala rumah tangga. Sampel penelitian mencakup 261.830 individu pernah menikah berusia 15 tahun ke atas dengan data lengkap pada seluruh variabel penelitian. Hasil analisis menunjukkan bahwa seluruh variabel berpengaruh signifikan terhadap kemungkinan perceraian. Pengangguran menjadi faktor paling dominan yang meningkatkan risiko perceraian, diikuti oleh wilayah perkotaan dan gangguan kesehatan kepala rumah tangga. Sebaliknya, usia, pendidikan tinggi, dan jenis kelamin laki-laki berperan sebagai faktor protektif terhadap perceraian. Temuan ini menegaskan bahwa perceraian merupakan fenomena multidimensional yang dipengaruhi oleh interaksi faktor ekonomi, demografi, dan sosial. Penelitian ini memberikan kontribusi empiris melalui penggunaan pendekatan terintegrasi pada data nasional representatif untuk menjelaskan determinan perceraian di Indonesia. Oleh karena itu, diperlukan kebijakan yang berfokus pada perluasan kesempatan kerja, penguatan ketahanan ekonomi keluarga, dan peningkatan edukasi kesiapan pernikahan guna menekan angka perceraian.


ABSTRACT


The increase in divorce rates in Indonesia in recent years indicates that family resilience is facing increasingly complex pressures due to economic, demographic, and social changes in society. This study aims to analyze the determinants of divorce in Indonesia using a logistic regression approach with data from the 2023 National Socioeconomic Survey (SUSENAS). The independent variables analyzed include unemployment, area of residence, gender, age, education level, and the health condition of the head of the household. The study sample included 261,830 ever-married individuals aged 15 years and above with complete data on all study variables. The analysis results show that all variables significantly influence the likelihood of divorce. Unemployment is the most dominant factor increasing the risk of divorce, followed by urban area and health problems of the head of the household. Conversely, age, higher education, and male gender act as protective factors against divorce. These findings confirm that divorce is a multidimensional phenomenon influenced by the interaction of economic, demographic, and social factors. This study provides an empirical contribution by using an integrated approach to representative national data to explain the determinants of divorce in Indonesia. Therefore, policies are needed that focus on expanding employment opportunities, strengthening family economic resilience, and improving marriage readiness education to reduce divorce rates.


References


Bahri, S., Hutagalung, M. Q., Efendi, & Muhafzan. (2024). ANALISIS KESTABILAN MODEL DINAMIKA PERCERAIAN MVQEDR. Jurnal Matematika UNAND, 13(4), 358–372. https://doi.org/https://doi.org/10.25077/jmua.13.4.358-372.2024

Becker, G. (1991). A Treatise on the Family, Enlarged Edition. Harvard University Press. https://books.google.co.id/books?id=NLB1Ty75DOIC&printsec=frontcover#v=onepage&q&f=false

BPS. (2023). Survey Sosial Ekonomi Nasional (SUSENAS). https://www.bps.go.id

Cahyani, S. E. (2025). Analisis Faktor- Faktor Perceraian di Desa Dusun Sawah [Institut Agama Islam Negeri (IAIN) Curup]. https://e-theses.iaincurup.ac.id/8662/1/Fulltext.pdf

Creswell, J. W., & David, J. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches fifth Edition. SAGE Publications.

Gonzalez-Ferrer, A., Obucina, O., Cortina, C., & Castro-MArtin, T. (2018). Mixed marriages between immigrants and natives in Spain : The gendered effect of marriage market constraints. Demographic Research, 39(1). https://doi.org/10.4054/DemRes.2018.39.1

Gujarati, D. N., & Porter, D. C. (2009). Basic Econometrics (Edisi 5). MCGraw-Hill Irwin.

Härkönen, J. (2018). Divorce: Trends, Patterns, Causes, Consequences. Stockholm Research Reports in Demography.

Härkönen, J., & Dronkers, J. (2017). Stability and Change in the Educational Gradient of Divorce . A Comparison of Seventeen Countries. European Sociological Review, 22(5). https://doi.org/10.1093/esr/jcl011

Hiekel, N., Liefbroer, A. C., & Poortman, A.-R. (2014). Understanding Diversity in the Meaning of Cohabitation Across Europe. Eur J Populations, 30, 391–410. https://doi.org/10.1007/s10680-014-9321-1

Hosmer, D. W., & Lemeshow, S. (2013). Applied Logistic Regression.

Hussein, A. (2024). UNRAVELING DIVORCE DYNAMICS : A COMPARATIVE ANALYSIS OF BUGIS AND AMBONESE FAMILY STRUCTURES. THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS, 06(02–03), 7–11. https://doi.org/https://doi.org/10.37547/tajssei/Volume06Issue03-02

Julpani, A. E., & Ridwan, E. (2025). Jurnal Informatika Ekonomi Bisnis Kontribusi Lingkungan Sosial terhadap Keputusan Perceraian di Jawa Barat : Analisis Regresi Logistik pada Data SUSENAS 2022. Jurnak Informatika Ekonomi Bisnis, 7(3), 501–505. https://infeb.org/index.php/infeb/article/download/1211/574

Killewald, A. (2016). Money , Work , and Marital Stability : Assessing Change in the Gendered Determinants of Divorce. American Sociological Review, 81(4), 696–719. https://doi.org/10.1177/0003122416655340

Long, J. S., & Freese, J. (2014). Regression Models for Categorical Dependent Variables Using Stata Third Edition. STATA PRESS.

Matysiak, A., Styrc, M., Vignoli, D., Matysiak, A., Styrc, M., & Vignoli, D. (2014). The educational gradient in marital disruption : A meta-analysis of European research findings The educational gradient in marital disruption : A meta-analysis of European research findings. Population Studies : A Journal of Demography, 68(2), 197–215. https://doi.org/10.1080/00324728.2013.856459

Muflih, A. B. Al, & Amalia, R. (2021). Realitas Penurunan Angka Pernikahan, Peningkatan Kasus Cerai dan Pilihan Childfree: Tinjauan Hukum ISlam. Literasi Hukum, 9(1), 81–99. https://doi.org/https://doi.org/10.31002/lh.v9i1.2782

Nafi’ah. (2025). Aspek Ekonomi Sebagai Dasar Perselisihan Rumah Tangga yang Berujung Perceraian (Studi Kasus di Pengadilan Agama Yogyakarta Tahun 2024) [Universitas Islam Negeri Sunan Kalijaga]. https://digilib.uin-suka.ac.id/id/eprint/74692/

Raley, R. K., & Sweeney, M. M. (2020). Divorce, Repartnering, and Stepfamilies: A Decade in Review. HHS Public Access, 82(1), 81–99. https://doi.org/10.1111/jomf.12651.Divorce

Raymo, J. M., Park, H., Xie, Y., Yeung, W. J., & Arbor, A. (2018). Marriage and Family in East Asia : Continuity and Change. HHS Public Access, 471–492. https://doi.org/10.1146/annurev-soc-073014-112428.Marriage

Rinaldo, R., Nisa, E. F., & Nurmila, N. (2023). Divorce Narratives and Class Inequalities in Indonesia. Journal of Family Issues, 0(0), 1–22. https://doi.org/https://doi.org/10.1177/0192513X231155657

Sayer, L. C., England, P., Allison, P., & Kangas, N. (2018). She Left, He Left: How Employment and Satisfaction Affect Men’s and Women’s Decisions to Leave Marriages. NIH Public Access, 116(6).

Schulz, B., & Siuda, F. (2023). Marriage and divorce : the role of unemployment insurance. https://doi.org/10.1007/s00148-023-00961-1

Stock, J. H., & Watson, M. W. (2020). Introduction to Econometrics.

Wooldridge, J. M. (2020). Introductory Econometrics A Modern Approach 5th Edition.




DOI: http://dx.doi.org/10.35906/jep.v12i1.2848

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