Research Article
Modeling of Quality of Education in Junior High Schoolusing Multivariate Adaptive Regression Splines (MARS) Method
@INPROCEEDINGS{10.4108/eai.2-8-2019.2290480, author={Urwawuska Ladini and Budi Susetyo and Indahwati Indahwati}, title={Modeling of Quality of Education in Junior High Schoolusing Multivariate Adaptive Regression Splines (MARS) Method}, proceedings={Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia}, publisher={EAI}, proceedings_a={ICSA}, year={2020}, month={1}, keywords={accreditation generalized cross validation multivariate adaptive regression spline national examination national education standards}, doi={10.4108/eai.2-8-2019.2290480} }- Urwawuska Ladini
Budi Susetyo
Indahwati Indahwati
Year: 2020
Modeling of Quality of Education in Junior High Schoolusing Multivariate Adaptive Regression Splines (MARS) Method
ICSA
EAI
DOI: 10.4108/eai.2-8-2019.2290480
Abstract
The accreditation of education system in Indonesia was established based on national education standards, while the national examinations were conducted to measure student’s academic achievement. The relationship between accreditation and national examinations is still under debate, considering that both are important in measuring education quality. Multivariate adaptive regression spline is the implementation of regression problem solving to predict the variable response that continuously based on several independent variables arranged in a set of several basic function coefficients, which overall controlled in the regression data. This research conducted to model national examinations based on national education standard scores at the junior high school level and can accommodate interaction of independent variables. Facilities and infrastructure standards is the most important, which is 100% has a large influence on the goodness of the model, and then graduate competency standards with an importance of 45.34%. Process and management standards didn’t significantly influence national examinations.
