PEMODELAN REGRESI SPLINE PADA FAKTOR YANG MEMPENGARUHI TINGKAT KEMISKINAN DI INDONESIA

Simple item page
dc.contributor.authorZilmuarif, Firsan
dc.contributor.supervisorEfendi, Rustam
dc.date.accessioned2024-02-03T07:32:13Z
dc.date.available2024-02-03T07:32:13Z
dc.date.issued2023-10
dc.description.abstractIndonesia is one of the countries that is still struggling to overcome problems related to poverty. Based on official statistical news, in March 2020 the percentage of the poor population was recorded at 9.78%, which has increased periodically until September 2020 at 10.19% and in March 2021 at 10.14%, which is around 27.54 million. Although at the end of March 2022 the percentage of poor people in Indonesia decreased by 0.17% against September 2021, which is a decrease of around 0.34 million people. This study aims to model poverty in Indonesia with factors that are thought to affect it using spline nonparametric regression methods. This study obtained the best model, which is spline regression using a combination knot point (2,3,3,1,1) with a minimum GCV of 21.315. Of the five independent variables that have been tested, all variables have a significant effect on the poverty rate in Indonesia in 2021, namely the IPM, PDRB, TPT, and RLS variables.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/123456789/11287
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectPovertyen_US
dc.subjectnonparametric regressionen_US
dc.subjectspline regressionen_US
dc.titlePEMODELAN REGRESI SPLINE PADA FAKTOR YANG MEMPENGARUHI TINGKAT KEMISKINAN DI INDONESIAen_US
dc.title.alternativeElfitraen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Firsan Zilmuarif_compressed.pdf
Size:
126.27 KB
Format:
Unknown data format
Description:
artikel
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Mathematics