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Abstract

Penelitian ini bertujuan untuk mengetahui gambaran umum dan variabel yang memengaruhi partisipasi perguruan tinggi pada kelompok 20% penduduk termiskin di Indonesia tahun 2023. Penelitian kuantitatif ini menggunakan data yang bersumber dari Susenas Maret 2023 dan dianalisis menggunakan regresi logistik biner. Hasil dari penelitian menunjukkan bahwa hanya 32,28% penduduk miskin yang berpartisipasi dalam perguruan tinggi. Variabel yang signifikan berpengaruh terhadap status partisipasi penduduk miskin pada perguruan tinggi di antaranya tingkat pendidikan kepala rumah tangga, jumlah anggota rumah tangga, status bekerja penduduk, jenis kelamin, dan status penerimaan Program Indonesia Pintar (PIP). Temuan dalam penelitian ini adalah penduduk miskin yang menerima PIP memiliki kecenderungan paling besar untuk berpartisipasi. Oleh karena itu, pemerintah dan pihak terkait perlu memperluas beasiswa dan informasi beasiswa perguruan tinggi terhadap penduduk miskin.

Keywords

partisipasi terhadap pendidikan penduduk miskin Program Indonesia Pintar

Article Details

How to Cite
Rawiyanti, W., & Budiarti , W. (2024). Karakteristik Penduduk Miskin dalam Hubungannya dengan Parstisipasi pada Perguruan Tinggi di Indonesia. Jurnal Pendidikan Dan Kebudayaan, 9(2), 237 - 250. https://doi.org/10.24832/jpnk.v9i2.5073

References

  1. Ali, N., Ullah, A., Khan, A. M., Khan, Y., Ali, S., Khan, A., Bakhtawar, Khan, A., Din, M. U., Ullah, R., Khan, U. N., Aziz, T., & Ahmad, M. (2023). Academic performance of children in relation to gender, parenting styles, and socioeconomic status: What attributes are important. PLoS ONE, 18(11 November), 1–30. https://doi.org/10.1371/journal.pone.0286823
  2. Alisjahbana, A. S., & Murniningtyas, E. (2018). Tujuan Pembangunan Berkelanjutan di Indonesia (Vol. 3, Issue 2). Unpad Press.
  3. Astakhova, K. V., Korobeev, A. I., Prokhorova, V. V., Kolupaev, A. A., Vorotnoy, M. V., & Kucheryavaya, E. R. (2016). The role of education in economic and social development of the country. International Review of Management and Marketing, 6(1), 53–58.
  4. Badan Pusat Statistik. (2023a). Perhitungan Dan Analisis Kemiskinan Makro Indonesia 2023. In Direktorat Statistik Ketahanan Sosial (Ed.), Badan Pusat Statistik. Badan Pusat Statistik. https://www.bps.go.id/id/publication/2023/11/30/8b8dac76525a92a21dc6568a/penghitungan-dan-analisis-kemiskinan-makro-indonesia-tahun-2023.html
  5. Badan Pusat Statistik. (2023b). Statistik Pendidikan 2023 (Direktorat Statistik Kesejahteraan Rakyat (ed.)). Badan Pusat Statistik.
  6. Byun, S. Y., Irvin, M. J., & Meece, J. L. (2015). Rural–Nonrural Differences in College Attendance Patterns. Peabody Journal of Education, 90(2), 263–279. https://doi.org/10.1080/0161956X.2015.1022384
  7. Byun, S. yong, Meece, J. L., & Agger, C. A. (2017). Predictors of College Attendance Patterns of Rural Youth. Research in Higher Education, 58(8), 817–842. https://doi.org/10.1007/s11162-017-9449-z
  8. Castleman, B. L., & Long, B. T. (2016). Looking beyond enrollment: The causal effect of need-based grants on college access, persistence, and graduation. Journal of Labor Economics, 34(4), 1023–1073. https://doi.org/10.1086/686643
  9. Chan, H.-Y., & Hu, X. (2023). Parental Involvement and College Enrollment: Differences Between Parents with Some and No College Experience. Research in Higher Education, 64(8), 1217–1249. https://doi.org/10.1007/s11162-023-09744-9
  10. Dahill-Brown, S. E., Witte, J. F., & Wolfe, B. (2016). Income and access to higher education: Are high quality universities becoming more or less elite? A longitudinal case study of admissions at UW-Madison. Rsf, 2(1), 69–89. https://doi.org/10.7758/rsf.2016.2.1.04
  11. Goldrick-Rab, S., Kelchen, R., Harris, D. N., & Benson, J. (2016). Reducing income inequality in educational attainment: Experimental evidence on the impact of financial aid on college completion. American Journal of Sociology, 121(6), 1762–1817. https://doi.org/10.1086/685442
  12. Hardy, B. L., & Marcotte, D. E. (2022). Ties that bind? Family income dynamics and children’s post-secondary enrollment and persistence. Review of Economics of the Household, 20(1), 279–303. https://doi.org/10.1007/s11150-020-09516-9
  13. Hovdhaugen, E. (2015). Working while studying: the impact of term-time employment on dropout rates. Journal of Education and Work, 28(6), 631–651. https://doi.org/10.1080/13639080.2013.869311
  14. Jakob, M., & Combet, B. (2020). Educational aspirations and decision-making in a context of poverty. A test of rational choice models in El Salvador. Research in Social Stratification and Mobility, 69(September), 100545. https://doi.org/10.1016/j.rssm.2020.100545
  15. Julianto, D., & Utari, P. A. (2019). Analisa Pengaruh Tingkat Pendidikan terhadap Pendapatan Individu DI Sumatera Barat. IKRAITH EKONOMIKA, 2(2), 122–131.
  16. LaFave, D., & Thomas, D. (2017). Extended families and child well-being. Journal of Development Economics, 126(July 2016), 52–65. https://doi.org/10.1016/j.jdeveco.2016.11.006
  17. LLDIKTI. (2023). Beasiswa dan Bantuan Biaya Bendidikan bagi Mahasiswa. https://lldikti6.kemdikbud.go.id/beasiswa-dan-bantuan-biaya-bendidikan-bagi-mahasiswa/
  18. Londoño-Vélez, J., Rodríguez, C., & Sánchez, F. (2020). Upstream and Downstream Impacts of College Merit-Based Financial Aid for Low-Income Students: Ser Pilo Paga in Colombia. American Economic Journal: Economic Policy, 12(2), 193–227. https://doi.org/10.1257/pol.20180131
  19. Monaghan, D. B. (2021). Predictors of college enrollment across the life course: Heterogeneity by age and gender. Education Sciences, 11(7). https://doi.org/10.3390/educsci11070344
  20. Mwaikokesya, M. (2018). Chapter 9 Financial Barriers Affecting Students from Poor Families’ Accessibility to Higher Education in Tanzania. 127–140. https://doi.org/10.1108/s2055-364120180000012010
  21. Nguyen, T. D., Kramer, J. W., & Evans, B. J. (2019). The Effects of Grant Aid on Student Persistence and Degree Attainment: A Systematic Review and Meta-Analysis of the Causal Evidence. Review of Educational Research, 89(6), 831–874. https://doi.org/10.3102/0034654319877156
  22. Ozturk, O. (2019). A logistic regression analysis of factors affecting enrollment decisions of prospective students of distance education programs in Anadolu University. Turkish Online Journal of Distance Education, 20(1), 145–160. https://doi.org/10.17718/tojde.522459
  23. Rahman, S., Munam, A. M., Hossain, A., Hossain, A. S. M. D., & Bhuiya, R. A. (2023). Socio-economic factors affecting the academic performance of private university students in Bangladesh: a cross-sectional bivariate and multivariate analysis. SN Social Sciences, 3(2), 1–21. https://doi.org/10.1007/s43545-023-00614-w
  24. Rifa’i, A., Irwandi, I., & Mendy, D. (2019). Determinants of Demand for Higher Education in Indonesia: Evidence from Indonesia Family Life Survey. Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi Dan Pembangunan, 20(1), 130–140. https://doi.org/10.23917/jep.v20i1.6701
  25. Scott-Clayton, J. (2015). The Role of Financial Aid in Promoting College Access and Success: Research Evidence and Proposals for Reform. Journal of Student Financial Aid, 45(3). https://doi.org/10.55504/0884-9153.1586
  26. Suryana, Y., & Pradana, R. S. (2023). Angka Partisipasi Kasar Perguruan Tinggi, SMA dan SMP menurut Provinsi dan menurut Gender serta Hubungannya Dengan Tingkat Pengangguran Terbuka. 8(62), 45–57.
  27. Thompson, R. (2016). Explaining inequality? Rational action theories of educational decision making. In Access to Higher Education: Theoretical Perspectives and Contemporary Challenges. Research into Higher Education (Issue November 2016). Routledge. http://eprints.hud.ac.uk/id/eprint/30337/
  28. Tomaszewski, W., Perales, F., Xiang, N., & Kubler, M. (2022). Differences in Higher Education Access, Participation and Outcomes by Socioeconomic Background: A Life Course Perspective. Family Dynamics over the Life Course: Foundations, Turning Points and Outcomes, 133–135. https://library.oapen.org/bitstream/20.500.12657/59382/1/978-3-031-12224-8.pdf
  29. Trinitapoli, J., Yeatman, S., & Fledderjohann, J. (2014). Sibling support and the educational prospects of young adults in Malawi. Plant Disease, 85(9), 442–442. https://doi.org/10.4054/DemRes.2014.30.19.Sibling
  30. Utami, E. D., & Wicaksono, F. (2019). Determinan partisipasi sekolah di Indonesia: analisis data Susenas tahun 2017. Jurnal Ilmiah WIDYA Non-Eksakta, 1(1), 68–73.
  31. Wanti, M., Wesselink, R., Biemans, H., & den Brok, P. (2023). The role of social factors in access to and equity in higher education for students with low socioeconomic status: A case study from Indonesia. Equity in Education & Society, 2(1), 43–60. https://doi.org/10.1177/27526461221140570
  32. Wei, Y., Zhou, S., & Yang, X. (2019). College expectations and choices: Explaining the gaps in college enrollment for high- and low-SES students in China. International Journal of Educational Development, 70(January 2018), 102079. https://doi.org/10.1016/j.ijedudev.2019.102079
  33. Wen, W., Zhou, L., Zhang, M., & Hu, D. (2023). Urban/Rural Disparities in Access to Elite Higher Education: The Case of Tsinghua University. International Journal of Chinese Education, 12(2), 1–12. https://doi.org/10.1177/2212585X231189338
  34. World Bank. (2023). World Development Indicators | DataBank. https://databank.worldbank.org/source/world-development-indicators/Series/SE.TER.ENRR#
  35. Xiong, F., Zang, L., Zhou, L., & Liu, F. (2020). The effect of number of siblings and birth order on educational attainment: Empirical Evidence from Chinese General Social Survey. International Journal of Educational Development, 78(2), 102270. https://doi.org/10.1016/j.ijedudev.2020.102270