PEMODELAN ANGKA PUTUS SEKOLAH TINGKAT SMP/MTs MENGGUNAKAN METODE REGRESI LOGISTIK BINER (Studi Kasus : Kecamatan Ulu Rawas Kabupaten Musi Rawas Utara Provinsi Sumatera Selatan)

ARLIKA, DELTA and Ngudiantoro, Ngudiantoro and Hanum, Herlina (2018) PEMODELAN ANGKA PUTUS SEKOLAH TINGKAT SMP/MTs MENGGUNAKAN METODE REGRESI LOGISTIK BINER (Studi Kasus : Kecamatan Ulu Rawas Kabupaten Musi Rawas Utara Provinsi Sumatera Selatan). Undergraduate thesis, Sriwijaya University.

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Abstract

Dropout rates is the proportion of the school-age group who are not finishing level of education. The aims of the research is to : 1) Analyse the causal factor of children dropping out school, and 2) Provide logistic regression models of the numbers dropping out of school. The data used in the study of binary logistic regression analysis, other than that used Chi-Square and exact fisher to test freedom between the independent variable against droupout rate. The best models using backward elimination shows significant variables affecting dropout rates the education of household head (X2) and motivation of children (X6). Education of household head (X2), the tendency of children dropping out of school who have the household who did not finish elementary schooldid not finish elementary school 3,28 times compared with the head of the household who did not finish elementary school. The motivation of children (X6), the tendency of children dropping out of school have very low/low motivation inclination 522 times compared to children who have very low/low motivation has a high motivation/very high.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Numbers Dropouts, Backward Elimination, Chi Square, Exact Fisher, Binary Logistic Regression
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Mrs Dies Meirita Sari
Date Deposited:	07 Aug 2019 04:43
Last Modified:	07 Aug 2019 04:43
URI:	http://repository.unsri.ac.id/id/eprint/2745

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