Open AccessPEMODELAN JUMLAH ANAK PUTUS SEKOLAH DI PROVINSI BALI DENGAN PENDEKATAN SEMI-PARAMETRIC GEOGRAPHICALLY WEIGHTED POISSON REGRESSION
Author(s) -
Gusti Ayu Ratih Astari,
I Gusti Ayu Made Srinadi,
Made Susilawati
Publication year - 2013
Publication title -
e-jurnal matematika
Language(s) - English
Resource type - Journals
ISSN - 2303-1751
DOI - 10.24843/mtk.2013.v02.i03.p045
Subject(s) - poisson regression , dropout (neural networks) , poisson distribution , functional illiteracy , geography , nonparametric statistics , regression analysis , parametric statistics , statistics , econometrics , mathematics , demography , computer science , sociology , political science , law , population , machine learning
Dropout number is one of the important indicators to measure the human progress resources in education sector. This research uses the approaches of Semi-parametric Geographically Weighted Poisson Regression to get the best model and to determine the influencing factors of dropout number for primary education in Bali. The analysis results show that there are no significant differences between the Poisson regression model with GWPR and Semi-parametric GWPR. Factors which significantly influence the dropout number for primary education in Bali are the ratio of students to school, ratio of students to teachers, the number of families with the latest educational fathers is elementary or junior high school, illiteracy rates, and the average number of family members.