PEMODELAN ANGKA PARTISIPASI SEKOLAH DI PROVINSI RIAU DENGAN PENDEKATAN MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS

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dc.contributor.authorNuraini, Siti
dc.contributor.supervisorEfendi, Rustam
dc.date.accessioned2022-03-15T03:17:57Z
dc.date.available2022-03-15T03:17:57Z
dc.date.issued2021-10
dc.description.abstractSchool 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.en_US
dc.description.sponsorshipJurusan Matematika Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10495
dc.language.isoenen_US
dc.publisherperpustakaan URen_US
dc.subjectNonparametric regressionen_US
dc.subjectmultivariate adaptive regression splines (MARS)en_US
dc.subjectschool participation rateen_US
dc.titlePEMODELAN ANGKA PARTISIPASI SEKOLAH DI PROVINSI RIAU DENGAN PENDEKATAN MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARSen_US
dc.typeArticleen_US

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