PEMODELAN INDEKS PEMBANGUNAN MANUSIA DI INDONESIA MENGGUNAKAN REGRESI NONPARAMETRIK ADITIF SPLINE SMOOTHING DENGAN ESTIMATOR PENALIZED

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dc.contributor.authorFebrina, Ezra Cristy
dc.contributor.supervisorHarison, Harison
dc.date.accessioned2022-03-14T07:26:54Z
dc.date.available2022-03-14T07:26:54Z
dc.date.issued2021-09
dc.description.abstractThe Human Development Index (HDI) in Indonesia currently ranks 121 out of 187 countries and Indonesia is in 6th position out of 10 ASEAN countries, where the quality of human resources in Indonesia is still low. This research is HDI modeling using nonparametric regression additive spline smoothing with penalized estimator. The data used is secondary data obtained from BPS (2019). This data includes the Human Development Index (IPM), Life Expectancy (UHH), Expected Length of Schooling (HLS), Average Length of Schooling (RLS), and Adjusted Per capita Expenditure (PPD) in 2019. Spline smoothing method with penalized estimator can be obtained from this research is one optimal knot point using generalized cross validation criteria, then the application of a nonparametric regression model additive spline smoothing with a penalized estimator on HDI data in Indonesia which has an MSE of 0,002623 and an Rsquare of 99,98en_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/123456789/10467
dc.language.isoenen_US
dc.publisherperpustakaan URen_US
dc.subjectHuman development indexen_US
dc.subjectnonparametric regression additive spline smoothingen_US
dc.subjectgeneralized cross validationen_US
dc.subjectpenalized estimatoren_US
dc.titlePEMODELAN INDEKS PEMBANGUNAN MANUSIA DI INDONESIA MENGGUNAKAN REGRESI NONPARAMETRIK ADITIF SPLINE SMOOTHING DENGAN ESTIMATOR PENALIZEDen_US
dc.typeArticleen_US

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