Melola Discovery

← Melola Discovery

Jurnal SINTA 3

PEMODELAN JUMLAH KEMATIAN BAYI DI PROVINSI MALUKU TAHUN 2010 DENGAN MENGGUNAKAN REGRESI POISSON

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 6 No. 2 (2012) · pp. 23–27

DOI
10.30598/barekengvol6iss2pp23-27
ISSN
2615-3017, 1978-7227
Published
2012-12-01
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

Infant mortality is an experienced child death before the age of one year. Regression analysis is a statistical analysis that aims to model the relationship between responsevariables (Y) with predictor variables (X). If the Poisson distributed response variables (Y), the regression model used was Poisson regression. The purpose of this research is to get aPoisson regression model according to the significant factors that influence the infant mortality. The results shows that the significant factors are influence the infant mortality asthe presentation of non medical childbirth (X1) and quantity of medical facility (X7). The case studies are infant mortality in Provinsi Maluku in 2010.

Collaboration network of the authors

11 authors · 19 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Thomas PenturyAffiliation unknown1
Riana WattimenaAffiliation unknown1
Henry W.M. PattyAffiliation unknown1
Trisnawaty TrisnawatyAffiliation unknown1
Zeth A. LeleuryAffiliation unknown1
Safriyani TomiaAffiliation unknown1
Abraham Z. WattimenaAffiliation unknown1
Christy TahyaAffiliation unknown1
Mozart W. TalakuaAffiliation unknown1
B. TuasikalAffiliation 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">PEMODELAN JUMLAH KEMATIAN BAYI DI PROVINSI MALUKU TAHUN 2010 DENGAN MENGGUNAKAN REGRESI POISSON</dc:title>
	<dc:creator>Aulele, Salmon N.</dc:creator>
	<dc:description xml:lang="en-US">Infant mortality is an experienced child death before the age of one year. Regression analysis is a statistical analysis that aims to model the relationship between responsevariables (Y) with predictor variables (X). If the Poisson distributed response variables (Y), the regression model used was Poisson regression. The purpose of this research is to get aPoisson regression model according to the significant factors that influence the infant mortality. The results shows that the significant factors are influence the infant mortality asthe presentation of non medical childbirth (X1) and quantity of medical facility (X7). The case studies are infant mortality in Provinsi Maluku in 2010.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2012-12-01</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/208</dc:identifier>
	<dc:identifier>10.30598/barekengvol6iss2pp23-27</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 6 No 2 (2012): BAREKENG : Jurnal Ilmu Matematika dan Terapan; 23-27</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/208/178</dc:relation>
</oai_dc:dc>