[
ABSTRAKPenelitian ini bertujuan untuk mempelajari faktor-faktor yang
mempengaruhi putus sekolah pada anak di Sulawesi dengan menggunakan data
Susenas 2012 dan data lain yang menunjukkan fasilitas sekolah. Berdasarkan
analisis deskriptif dan inferensial (regresi Cox) diketahui bahwa jumlah anggota
rumah tangga, jenis kelamin, umur, status bekerja KRT, pendidikan ibu, status
ekonomi, klasifikasi daerah tempat tinggal, keberadaaan sekolah dan ketersediaan
sekolah memiliki pengaruh yang signifikan terhadap risiko anak untuk putus
sekolah di Sulawesi. Akan tetapi, pada analisis regresi logistik biner faktor status
bekerja KRT tidak memiliki pengaruh yang signifikan. Faktor terkuat yang
mempengaruhi putus sekolah anak dalam penelitian ini adalah pendidikan ibu,
jenis kelamin, umur dan status ekonomi. Temuan lain dari penelitian ini adalah
anak laki-laki memiliki risiko putus sekolah yang lebih besar dibandingkan anak
perempuan.
ABSTRACTThe aim of this research is to study the factors that influence dropout
children in Sulawesi using Susenas 2012 and the other data sources that describes
school facilities. Based on descriptive and inferential analysis (Cox regression)
showed that the number of household members, sex, children?s age, parent?s
employment status, mother?s level of education, economic status, region, school
facility, and school capacity has a significant effect on a child?s risk for dropping
out of school in Sulawesi. Neverthless, based on binary logistic regression,
parent?s employment status has no significant effect on a child?s risk for dropping
out of school in Sulawesi. The strongest factors that affecting dropout children are
mother?s level of education, sex, age, and economic status. Another finding is that
the boys have a higher risk of dropping out of school than girls.;The aim of this research is to study the factors that influence dropout
children in Sulawesi using Susenas 2012 and the other data sources that describes
school facilities. Based on descriptive and inferential analysis (Cox regression)
showed that the number of household members, sex, children’s age, parent’s
employment status, mother’s level of education, economic status, region, school
facility, and school capacity has a significant effect on a child’s risk for dropping
out of school in Sulawesi. Neverthless, based on binary logistic regression,
parent’s employment status has no significant effect on a child’s risk for dropping
out of school in Sulawesi. The strongest factors that affecting dropout children are
mother’s level of education, sex, age, and economic status. Another finding is that
the boys have a higher risk of dropping out of school than girls., The aim of this research is to study the factors that influence dropout
children in Sulawesi using Susenas 2012 and the other data sources that describes
school facilities. Based on descriptive and inferential analysis (Cox regression)
showed that the number of household members, sex, children’s age, parent’s
employment status, mother’s level of education, economic status, region, school
facility, and school capacity has a significant effect on a child’s risk for dropping
out of school in Sulawesi. Neverthless, based on binary logistic regression,
parent’s employment status has no significant effect on a child’s risk for dropping
out of school in Sulawesi. The strongest factors that affecting dropout children are
mother’s level of education, sex, age, and economic status. Another finding is that
the boys have a higher risk of dropping out of school than girls.]
T-Sundari Budiani.pdf :: Unduh