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NONPARAMETRIK REGRESSION MODEL ESTIMATION WITH THE FOURIER SERIES THE FOURIER SERIES APPROACH AND ITS APPLICATION TO THE ACCUMULATIVE COVID-19 DATA IN INDONESIA

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 16 No. 4 (2022) · pp. 1167–1174

DOI
10.30598/barekengvol16iss4pp1167-1174
ISSN
2615-3017, 1978-7227
Published
2022-12-15
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The nonparametric regression model is applied to regression curves for which the regression curve is unknown. Fourier series estimation is an approach in nonparametric regression, which has high flexibility and is able to adjust to the local nature of data effectively. The purpose of the research is to obtain an estimate of the nonparametric regression model with the Fourier series approach with optimal oscillation values and the model suitability of the positive case of Covid-19 in Indonesia. Research on modeling positive cases of Covid-19 in Indonesia using nonparametric regression with the best Fourier series approach is found in the third oscillation by having a minimum GCV of 78969281 with the best model criteria R2 = 97.86% with influencing factors are the percentage of active smokers, the number of health workers, the number of health service facilities, population density and the percentage of the poor population.

Collaboration network of the authors

39 authors · 87 co-authorship links

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Co-authorOrganisationJoint articles
Andrea Tri Rian DaniAffiliation unknown4
Surya PranggaAffiliation unknown3
Rizki Dwi FadlirhohimAffiliation unknown2
Zakiyah Mar'ahAffiliation unknown2
Meirinda FauziyahAffiliation unknown2
Wasono WasonoAffiliation unknown2
Eka Nur AmaliahAffiliation unknown1
Darnah DarnahAffiliation unknown1
Ahmad Rizky KesumaAffiliation unknown1
Farikah Ayu RinandaAffiliation unknown1
Ilyas AstafiraAffiliation unknown1
Nur AfrianiAffiliation unknown1
Tri Septi Ayu LestariAffiliation unknown1
Tirta PurnaragaAffiliation unknown1
Rifka Nurfaiza ZarkasiAffiliation unknown1
Aprianti Boma PadatuanAffiliation unknown1
Memi Nor HayatiAffiliation unknown1
Yunda Sasha ParadillaAffiliation unknown1
Ar Ruum Mia SariAffiliation unknown1
Mohammad Nurul HudaAffiliation unknown1
Sitti AnggraeniAffiliation unknown1
Qonita Qurrota A'yunAffiliation unknown1
Frans Karta Sayoga SitohangAffiliation unknown1
Siti MahmudaAffiliation unknown1
Anggi Putri AnisarAffiliation unknown1
Marisa Nanda SaputriAffiliation unknown1
Rahmania RahmaniaAffiliation unknown1
Asnita AsnitaAffiliation unknown1
Syaripuddin SyaripuddinAffiliation unknown1
Shanaz TulzahrahAffiliation unknown1
Rara SuciatiAffiliation unknown1
Indria SaskaAffiliation unknown1
Ghina Fadhilla MumtazAffiliation unknown1
Suyitno SuyitnoAffiliation unknown1
Rito GoejantoroAffiliation unknown1
Dwi Indra YunistyaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">NONPARAMETRIK REGRESSION MODEL ESTIMATION WITH THE FOURIER SERIES THE FOURIER SERIES APPROACH AND ITS APPLICATION TO THE ACCUMULATIVE COVID-19 DATA IN INDONESIA</dc:title>
	<dc:creator>Pasarella, Muhammad Danil</dc:creator>
	<dc:creator>Sifriyani, Sifriyani</dc:creator>
	<dc:creator>Amijaya, Fidia Deny Tisna</dc:creator>
	<dc:description xml:lang="en-US">The nonparametric regression model is applied to regression curves for which the regression curve is unknown. Fourier series estimation is an approach in nonparametric regression, which has high flexibility and is able to adjust to the local nature of data effectively. The purpose of the research is to obtain an estimate of the nonparametric regression model with the Fourier series approach with optimal oscillation values and the model suitability of the positive case of Covid-19 in Indonesia. Research on modeling positive cases of Covid-19 in Indonesia using nonparametric regression with the best Fourier series approach is found in the third oscillation by having a minimum GCV of 78969281 with the best model criteria R2 = 97.86% with influencing factors are the percentage of active smokers, the number of health workers, the number of health service facilities, population density and the percentage of the poor population.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2022-12-15</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5779</dc:identifier>
	<dc:identifier>10.30598/barekengvol16iss4pp1167-1174</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications; 1167-1174</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol16iss4year2022</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5779/5133</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Muhammad Danil Pasarella, Sifriyani Sifriyani, Fidia Deny Tisna Amijaya</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>