PEMODELAN PERSENTASE PENDUDUK MISKIN DI PROVINSI RIAU DENGAN PENDEKATAN REGRESI NONPARAMETRIK DERET FOURIER

dc.contributor.authorHamdani, Khairul
dc.contributor.supervisorEfendi, Rustam
dc.date.accessioned2023-03-03T03:49:58Z
dc.date.available2023-03-03T03:49:58Z
dc.date.issued2022-12
dc.description.abstractPercentage of poor people is an indicator used to measure poverty in an area. Riau Province has data on the percentage of poor people that fluctuates. In this study, the Fourier series nonparametric regression method was used to model the percentage of poor people in the Regency/City Riau Province in 2014-2018. Factors that are thought to influence the percentage of poor people in Riau Province are the open unemployment rate, per capita expenditure, and the average length of schooling. This study resulted in the best Fourier series model at 𝐾 = 4 with a minimum GCV value of 33.50 with 16 model parameters and produces a MAPE value of 17.61%, which means that the MAPE value is in the second category, which is good.en_US
dc.description.sponsorshipFakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10881
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectPercentage of poor peopleen_US
dc.subjectFourier seriesen_US
dc.subjectnonparametric regressionen_US
dc.titlePEMODELAN PERSENTASE PENDUDUK MISKIN DI PROVINSI RIAU DENGAN PENDEKATAN REGRESI NONPARAMETRIK DERET FOURIERen_US
dc.typeArticleen_US

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