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ANALISIS REGRESI KOMPONEN UTAMA UNTUK MENGATASI MASALAH MULTIKOLINIERITAS DALAM ANALISIS REGRESI LINIER BERGANDA

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 6 No. 1 (2012) · pp. 31–40

DOI
10.30598/barekengvol6iss1pp31-40
ISSN
2615-3017, 1978-7227
Published
2012-03-01
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

The climate in Ambon, are influenced by sea climate and season climate, cause of this island arrounded by sea, it is make very high rainfall intensity. A very high collinearity between independent variables, make the estimate can not rely be ordinary least square method so it market with not real regretion coefficient and the collinearity. Collinearity can be detected by linier correlation coefficient between independent variables and also with VIF way. Regretion principal component analysis is used to remove collinearity and all of independent variable into model, this analysis is regretion analysis technique wher eare combinated with principal component analysis technique. The object of this analysis is to simplify the variable by overcast it dimension, we can do it removes the correlation between coefficient by transformation. Regresion can help to solve this case rainfall in Ambon on 2010. So the colinearity to independent variables can be overcome and then we can get the best regretion rutes.

Collaboration network of the authors

15 authors · 27 co-authorship links

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Co-authorOrganisationJoint articles
Mozart W. TalakuaAffiliation unknown6
Venn Y. I. IlwaruAffiliation unknown2
RUDY W. MatakupanAffiliation unknown1
Monalisa E. RijolyAffiliation unknown1
Thomas PenturyAffiliation unknown1
Freya N. WattimenaAffiliation unknown1
Linanda KaileyAffiliation unknown1
Dorteus L. RahakbauwAffiliation unknown1
Trifena L. WasilaineAffiliation unknown1
F. S. TututparyAffiliation unknown1
Sitri YuniAffiliation unknown1
Eunike M. SahetapyAffiliation 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) 
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	<dc:title xml:lang="en-US">ANALISIS REGRESI KOMPONEN UTAMA UNTUK MENGATASI MASALAH MULTIKOLINIERITAS DALAM ANALISIS REGRESI LINIER BERGANDA</dc:title>
	<dc:creator>Marcus, Gresyea L.</dc:creator>
	<dc:creator>Wattimanela, Henry J.</dc:creator>
	<dc:creator>Lesnussa, Yopi A.</dc:creator>
	<dc:description xml:lang="en-US">The climate in Ambon, are influenced by sea climate and season climate, cause of this island arrounded by sea, it is make very high rainfall intensity. A very high collinearity between independent variables, make the estimate can not rely be ordinary least square method so it market with not real regretion coefficient and the collinearity. Collinearity can be detected by linier correlation coefficient between independent variables and also with VIF way. Regretion principal component analysis is used to remove collinearity and all of independent variable into model, this analysis is regretion analysis technique wher eare combinated with principal component analysis technique. The object of this analysis is to simplify the variable by overcast it dimension, we can do it removes the correlation between coefficient by transformation. Regresion can help to solve this case rainfall in Ambon on 2010. So the colinearity to independent variables can be overcome and then we can get the best regretion rutes.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2012-03-01</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/202</dc:identifier>
	<dc:identifier>10.30598/barekengvol6iss1pp31-40</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 6 No 1 (2012): BAREKENG : Jurnal Ilmu Matematika dan Terapan; 31-40</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/202/172</dc:relation>
</oai_dc:dc>