[ABSTRAK
Penelitian ini bertujuan untuk mempelajari faktor-faktor yangmempengaruhi putus sekolah pada anak di Sulawesi dengan menggunakan dataSusenas 2012 dan data lain yang menunjukkan fasilitas sekolah. Berdasarkananalisis deskriptif dan inferensial (regresi Cox) diketahui bahwa jumlah anggotarumah tangga, jenis kelamin, umur, status bekerja KRT, pendidikan ibu, statusekonomi, klasifikasi daerah tempat tinggal, keberadaaan sekolah dan ketersediaansekolah memiliki pengaruh yang signifikan terhadap risiko anak untuk putussekolah di Sulawesi. Akan tetapi, pada analisis regresi logistik biner faktor statusbekerja KRT tidak memiliki pengaruh yang signifikan. Faktor terkuat yangmempengaruhi putus sekolah anak dalam penelitian ini adalah pendidikan ibu,jenis kelamin, umur dan status ekonomi. Temuan lain dari penelitian ini adalahanak laki-laki memiliki risiko putus sekolah yang lebih besar dibandingkan anakperempuan.
ABSTRACT
The aim of this research is to study the factors that influence dropoutchildren in Sulawesi using Susenas 2012 and the other data sources that describesschool facilities. Based on descriptive and inferential analysis (Cox regression)showed that the number of household members, sex, children?s age, parent?semployment status, mother?s level of education, economic status, region, schoolfacility, and school capacity has a significant effect on a child?s risk for droppingout of school in Sulawesi. Neverthless, based on binary logistic regression,parent?s employment status has no significant effect on a child?s risk for droppingout of school in Sulawesi. The strongest factors that affecting dropout children aremother?s level of education, sex, age, and economic status. Another finding is thatthe boys have a higher risk of dropping out of school than girls.;The aim of this research is to study the factors that influence dropoutchildren in Sulawesi using Susenas 2012 and the other data sources that describesschool facilities. Based on descriptive and inferential analysis (Cox regression)showed that the number of household members, sex, children’s age, parent’semployment status, mother’s level of education, economic status, region, schoolfacility, and school capacity has a significant effect on a child’s risk for droppingout of school in Sulawesi. Neverthless, based on binary logistic regression,parent’s employment status has no significant effect on a child’s risk for droppingout of school in Sulawesi. The strongest factors that affecting dropout children aremother’s level of education, sex, age, and economic status. Another finding is thatthe boys have a higher risk of dropping out of school than girls., The aim of this research is to study the factors that influence dropoutchildren in Sulawesi using Susenas 2012 and the other data sources that describesschool facilities. Based on descriptive and inferential analysis (Cox regression)showed that the number of household members, sex, children’s age, parent’semployment status, mother’s level of education, economic status, region, schoolfacility, and school capacity has a significant effect on a child’s risk for droppingout of school in Sulawesi. Neverthless, based on binary logistic regression,parent’s employment status has no significant effect on a child’s risk for droppingout of school in Sulawesi. The strongest factors that affecting dropout children aremother’s level of education, sex, age, and economic status. Another finding is thatthe boys have a higher risk of dropping out of school than girls.] |
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