Analisis Faktor Migrasi Pekerja Migran Indonesia Asal Blitar ke Luar Negeri Tahun 2010-2024
DOI:
https://doi.org/10.35870/jemsi.v12i3.6367Keywords:
Poverty Rate, District Minimum Wage, Migrant Worker Migration, Average Years of Schooling, International Labor Migration, Blitar RegencyAbstract
This study analyzes the factors influencing the migration of Indonesian Migrant Workers (PMI) from Blitar Regency to overseas destinations during the period 2010–2024, with a particular focus on the roles of poverty levels, the District Minimum Wage (UMK), and average years of schooling. The research employs a quantitative approach using a correlational method based on secondary time-series data, which are analyzed through multiple linear regression using EViews software. The estimation results indicate that the poverty level has a negative and statistically significant effect on the number of migrant workers, suggesting that extremely poor households face financial constraints that limit their ability to finance international migration processes. Meanwhile, the UMK and average years of schooling variables exhibit negative and positive coefficient directions, respectively, but are not statistically significant, indicating that increases in wages and education have not been able to directly restrain migration flows. Simultaneously, the three variables significantly affect PMI migration, with a coefficient of determination of 0.569. These findings demonstrate that labor migration decisions are multidimensional and influenced not only by economic factors but also by social and structural factors. The results support the push and pull theory of international labor migration, particularly in the context of semi-agrarian regions. Therefore, policies aimed at reducing forced migration should focus on strengthening local economic development, creating productive employment opportunities, and improving the quality of vocational education.
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References
Haas, H. De. (2021). A theory of migration: The aspirations-capabilities framework. In Comparative Migration Studies (Vol. 9, Issue 8). Comparative Migration Studies.
Muhsam, H. V., & Becker, G. S. (1965). Human capital: A theoretical and empirical analysis, with special reference to education. Revue de l’Institut International de Statistique / Review of the International Statistical Institute, 33(3), 556. https://doi.org/10.2307/1401709.
Badan Pelindungan Pekerja Migran Indonesia (BP2MI). (2024). Data statistik pekerja migran Indonesia menurut kabupaten/kota asal tahun 2010–2024. Jakarta: BP2MI.
Gujarati, D., & Porter, D. (2023). Basic econometrics. New York: McGraw-Hill.
Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47–57. https://doi.org/10.2307/2060063.
Rentzios, C., & Karagiannopoulou, E. (2021). Rethinking associations between distal factors and learning: Attachment, approaches to learning and the mediating role of academic emotions. Psychology, 12(6), 899-924.
International Organization for Migration (IOM). (2023). Labour migration from Indonesia: An overview of Indonesian migration to selected destinations in Asia and the Middle East. Jakarta.
Kusuma, I. (2019). Pengaruh pendidikan terhadap keputusan migrasi tenaga kerja Indonesia. Jurnal Ilmu Sosial dan Humaniora, 8(2), 112–127.
Misbah, A., Mulyani, S., & Wibowo, T. (2021). Faktor-faktor yang mempengaruhi keputusan pekerja migran Indonesia di Kabupaten Indramayu. Jurnal Ekonomi dan Pembangunan Indonesia, 21(2), 154–170.
Putri, E. Y., & Taufiqqurrachman, F. (2023). Analysis of regional financial effectiveness and efficiency on economic growth in Bojonegoro District. Jurnal Ekonomi, 12(3), 2033–2039.
Rachmawati, D. (2018). Pengaruh tingkat kemiskinan, upah minimum, dan pendidikan terhadap migrasi tenaga kerja Indonesia. Jurnal Ekonomi dan Pembangunan Indonesia, 19(3), 245–258.
Sahir, S. H. (2021). Metodologi penelitian: Konsep, jenis & contoh. Medan: Universitas Medan Area Repository.
Salsabilla, A. T., & Pratomo, D. S. (2024). Determinan migrasi internasional tenaga kerja. Journal of Development Economic and Social Studies, 3(2), 384-396. https://doi.org/10.21776/jdess.2024.03.2.5.
Siregar, M. (2022). Analisis pengaruh upah minimum dan tingkat pengangguran terhadap migrasi tenaga kerja ke luar negeri di Indonesia. Jurnal Ekonomi Regional dan Pembangunan, 9(1), 33–47.
Soesilo, B., & Handayani, S. (2019). Analisis determinan kemiskinan di Provinsi Jawa Timur. Jurnal Ekonomi Pembangunan, 17(2), 130–145.
Taufiqqurrachman, F., & Handoyo, R. D. (2021). Analisis dampak IC-CEPA terhadap perekonomian Indonesia. Buletin Ilmiah Litbang Perdagangan, 15(1), 27–50.
Taufiqqurrachman, F. (2022). Multiplier effect in East Java (Input-Output analysis approach). JEJAK: Journal of Economics and Policy, 15(2), 255–272.
Taufiqqurrachman, F. (2024). Kajian indeks skalogram, indeks sentralitas Marshall dan indeks gravitasi pada penentuan pusat-pusat pertumbuhan ekonomi Jawa Timur. Innovative: Journal of Social Science Research, 4(1), 5952–5963.
Wulandari, A., & Subagio, S. (2020). Pengaruh upah minimum terhadap migrasi tenaga kerja di Jawa Timur. Jurnal Ekonomi Regional dan Pembangunan, 6(1), 55–67.
Salma. (2023, June 8). Penelitian korelasional: Pengertian, ciri, langkah, dan contoh. Deepublish.
Migrasi, D., & Tenaga, I. (2024). Jdess 03.02.2024. 3(2), 384–396.
Rizqi, J., Billah, S., & Brawi-, U. (2025). Jdess 04.02.2025. 4(2), 497–511.
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