Modeling of School Participation Rate for Senior High School in Indonesia Using Mixed Geographically Weighted Regression Model

Febrina Kusumaningati, Jefri Utomo, Maya Zach, Ayu Puspitawati, Nur Chamidah

2018

Abstract

The quality of education can be determined by looking at school participation rate (SPR). The SPR in Indonesia has increased in 2013-2016, but SPR for the age of 16-18 years has the lowest value when compared with the age of 7-12 years and 13-15 years. This study aims to model and analyze the results of SPR modeling and interpret the factors that affect the SPR in every province in Indonesia by using Mixed Geographically Weighted Regression (MGWR) model presented in thematic map. Based on the analysis result, there were 5 provinces where the SPR affected by rate of economic growth; 13 provinces were affected by the number of school and rate of economic growth; 13 provinces were affected by the number of school, rate of economic growth, and Gini Ratio; and 3 provinces were affected by rate of economic growth and rate of labor participation. Also, we obtained through the MGWR model of Papua province that rate of economic growth as a global variable decreased the SPR due to lack of good equity while rate of labor participation reduced the SPR because many students prefer to work than study.

Paper Citation

in Harvard Style

Kusumaningati F., Utomo J., Zach M., Puspitawati A. and Chamidah N. (2018). Modeling of School Participation Rate for Senior High School in Indonesia Using Mixed Geographically Weighted Regression Model.In Proceedings of the 2nd International Conference Postgraduate School - Volume 1: ICPS, ISBN 978-989-758-348-3, pages 939-943. DOI: 10.5220/0007554409390943

in Bibtex Style

@conference{icps18,
author={Febrina Kusumaningati and Jefri Utomo and Maya Zach and Ayu Puspitawati and Nur Chamidah},
title={Modeling of School Participation Rate for Senior High School in Indonesia Using Mixed Geographically Weighted Regression Model},
booktitle={Proceedings of the 2nd International Conference Postgraduate School - Volume 1: ICPS,},
year={2018},
pages={939-943},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007554409390943},
isbn={978-989-758-348-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference Postgraduate School - Volume 1: ICPS,
TI - Modeling of School Participation Rate for Senior High School in Indonesia Using Mixed Geographically Weighted Regression Model
SN - 978-989-758-348-3
AU - Kusumaningati F.
AU - Utomo J.
AU - Zach M.
AU - Puspitawati A.
AU - Chamidah N.
PY - 2018
SP - 939
EP - 943
DO - 10.5220/0007554409390943