PEMODELAN ANGKA PARTISIPASI SEKOLAH DI PROVINSI RIAU DENGAN PENDEKATAN MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS
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Date
2021-10
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perpustakaan UR
Abstract
School Participation Rate (SPR) is a basic indicator used to measure access to
education, especially for the school-age population. Riau has fluctuating SPR data for
senior high school level. In this study, the nonparametric multivariate adaptive
regression splines (MARS) method was used to model the high school participation rate
in the Regency/City of Riau Province in 2015-2019. Factors that are thought to affect
the SPR in Riau Province are human development index, gross regional domestic
product, poverty level and number of schools. This study shows that the best MARS
model with a minimum GCV value of 19.83156 and an R-square of 0.745368. The most
influential variable for SPR in Riau Province in 2015-2019 is the poverty rate with a
100 percent interest rate.
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Keywords
Nonparametric regression, multivariate adaptive regression splines (MARS), school participation rate