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All Journal Jurnal Informatika Ekonomi Bisnis Jurnal Informatika Ekonomi Bisnis
Bunda, Mutiara
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Economics, Econometrics & Finance

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Analisis Pengaruh Program Keluarga Harapan dalam Mengurangi Pekerja Anak di Indonesia Bunda, Mutiara; N, Zulkifli
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1202

Abstract

This study examines the impact of the Program Keluarga Harapan, a conditional cash transfer initiative, on reducing child labor in Indonesia. Using a quantitative approach, the research employs logistic regression analysis on data from the 2022 National Socio-Economic Survey. The findings reveal that PKH significantly reduces the likelihood of child labor by 0.383 times, demonstrating its effectiveness in reallocating children's time from work to education. Additionally, factors such as child age, gender, household head characteristics, and rural residence significantly influence child labor prevalence. The study highlights the need for expanded program coverage, improved rural education access, and multi-sector collaboration to address the root causes of child labor.
Analisis Pengaruh Program Keluarga Harapan dalam Mengurangi Pekerja Anak di Indonesia Bunda, Mutiara; N, Zulkifli
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1202

Abstract

This study examines the impact of the Program Keluarga Harapan, a conditional cash transfer initiative, on reducing child labor in Indonesia. Using a quantitative approach, the research employs logistic regression analysis on data from the 2022 National Socio-Economic Survey. The findings reveal that PKH significantly reduces the likelihood of child labor by 0.383 times, demonstrating its effectiveness in reallocating children's time from work to education. Additionally, factors such as child age, gender, household head characteristics, and rural residence significantly influence child labor prevalence. The study highlights the need for expanded program coverage, improved rural education access, and multi-sector collaboration to address the root causes of child labor.
Co-Authors Zulkifli N