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APPLICATION OF THE PRAIS WINSTEN METHOD IN OVERCOMING AUTOCORRELATION ON LIFE EXPECTATION FACTORS

Jurnal Biometrika dan Kependudukan · Vol. 12 No. 1 (2023) · hlm. 32–40

DOI
10.20473/jbk.v12i1.2023.32-40
ISSN
2540-8828, 2302-707X
Terbit
2023-07-06
Penerbit
Universitas Airlangga
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

One of the error conditions that are required to be met is the absence of autocorrelation problems. Autocorrelation is a correlation of errors between observations, the existence of an error correlation between observations will cause deviations from the actual statistical value. One of the statistical methods for overcoming autocorrelation is the Prais Winsten method. This study aims to explain the Prais Winsten method in overcoming the problem of autocorrelation on factors that affect the life expectancy of East Java Province in 2018. This research is a secondary data analysis, data obtained from the East Java Province's health profile in 2018 with the dependent variable, namely life expectancy, and independent variables, namely prevalence of diarrhea, clean and healthy living behavior, and mean years of school. The results of this research indicated the finding of autocorrelation problems in the factors that affected the life expectancy of East Java Province in 2018. Improvements with the Prais Winsten method showed that the Durbin Watson value was at the critical point limit, Mean Square Error and coefficient of determination (R2) value was decreasing. This research concludes that the Prais Winsten method can overcome autocorrelation.

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  • Universitas Airlangga
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  • Universitas Gadjah Mada
  • RSO Soeharso Surakarta
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Rekan penulisOrganisasiArtikel bersama
Kuntoro KuntoroUniversitas Airlangga3
Rachmah IndawatiUniversitas Airlangga2
Farapti FaraptiUniversitas Airlangga2
Chatarina Umbul WahyuniUniversitas Airlangga2
Lilis SulistyoriniUniversitas Airlangga2
Mahmudah MahmudahUniversitas Airlangga2
Dwi - KuswantoUniversitas Airlangga1
Annisaa Wulida FurqoniaUniversitas Airlangga1
Diah RatnadewiIPB University1
Atik Choirul HidajahUniversitas Airlangga1
Ika Dewi AnaUniversitas Gadjah Mada1
Christofora Hanny WidjajaIPB University1
Anggraini BarlianBandung Institute of Technology1
Rizka Musdalifah AmsarBandung Institute of Technology1
Triati Dewi Kencana WunguBandung Institute of Technology1
Fedik Abdul RantamUniversitas Airlangga1
Romaniyanto RomaniyantoRSO Soeharso Surakarta1
Cita Rosita Sigit PrakoeswaUniversitas Airlangga1
Damayanti TinduhAfiliasi tidak diketahui1
Dwikora Novembri UtomoUniversitas Airlangga1
Heri SurotoUniversitas Airlangga1
Ferdiansyah FerdiansyahUniversitas Airlangga1
Mochammad Bagus QomaruddinUniversitas Airlangga1
Apik Indarty MoedjionoHasanuddin University1
Nursalam NursalamUniversitas Airlangga1
Fery Agusman Motuho MendrofaUniversitas Karya Husada Semarang1
Hasan MachfoedUniversitas Airlangga1
Rachmad HargonoUniversitas Airlangga1
Bagus WidjonarkoDiponegoro University1
Efri Tri ArdiantoUniversitas Airlangga1
Windhu PurnomoUniversitas Airlangga1
Stefanus SupriyantoUniversitas Airlangga1
Heru Santoso Wahito NugrohoUniversitas Airlangga1
I Ketut SudianaUniversitas Airlangga1
Reny IndrayaniUniversitas Airlangga1
Khuliyah Candraning DiyanahUniversitas Airlangga1
Ririh YudhastutiUniversitas Airlangga1

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Sumber metadata: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/JBK/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">APPLICATION OF THE PRAIS WINSTEN METHOD IN OVERCOMING AUTOCORRELATION ON LIFE EXPECTATION FACTORS</dc:title>
	<dc:creator>Bimanto, Hardian</dc:creator>
	<dc:creator>Notobroto, Hari Basuki</dc:creator>
	<dc:creator>Melaniani, Soenarnatalina</dc:creator>
	<dc:subject xml:lang="en-US">autocorrelation</dc:subject>
	<dc:subject xml:lang="en-US">life expectancy</dc:subject>
	<dc:subject xml:lang="en-US">prais winsten</dc:subject>
	<dc:description xml:lang="en-US">One of the error conditions that are required to be met is the absence of autocorrelation problems. Autocorrelation is a correlation of errors between observations, the existence of an error correlation between observations will cause deviations from the actual statistical value. One of the statistical methods for overcoming autocorrelation is the Prais Winsten method. This study aims to explain the Prais Winsten method in overcoming the problem of autocorrelation on factors that affect the life expectancy of East Java Province in 2018. This research is a secondary data analysis, data obtained from the East Java Province's health profile in 2018 with the dependent variable, namely life expectancy, and independent variables, namely prevalence of diarrhea, clean and healthy living behavior, and mean years of school. The results of this research indicated the finding of autocorrelation problems in the factors that affected the life expectancy of East Java Province in 2018. Improvements with the Prais Winsten method showed that the Durbin Watson value was at the critical point limit, Mean Square Error and coefficient of determination (R2) value was decreasing. This research concludes that the Prais Winsten method can overcome autocorrelation.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2023-07-06</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://e-journal.unair.ac.id/JBK/article/view/32779</dc:identifier>
	<dc:identifier>10.20473/jbk.v12i1.2023.32-40</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Biometrika dan Kependudukan; Vol. 12 No. 1 (2023): JURNAL BIOMETRIKA DAN KEPENDUDUKAN; 32-40</dc:source>
	<dc:source>2540-8828</dc:source>
	<dc:source>2302-707X</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JBK/article/view/32779/25514</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Jurnal Biometrika dan Kependudukan</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
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