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ITS » Undergraduate Theses » Statistika
Posted by tondoindra@gmail.com at 16/03/2016 10:15:48  •  1153 Views


PEMODELAN JUMLAH KEMATIAN IBU DAN JUMLAH KEMATIAN BAYI DI PROVINSI JAWA TIMUR MENGGUNAKAN BIVARIATE POISSON REGRESSION

MODELING MATERNAL MORTALITY AND INFANT MORTALITY IN EAST JAVA BY USING BIVARIATE POISSON REGRESSION

Author :
RACHMAH, NINA FAUZIAH ( 1310100088 )




ABSTRAK

Kasus kematian ibu adalah kasus kematian perempuan pada saat hamil atau kematian perempuan dalam kurun waktu 42 hari sejak terminasi kehamilan. Sedangkan kasus kematian bayi adalah kasus kematian bayi yang terjadi antara saat setelah bayi lahir sampai bayi belum berusia tepat satu tahun. Hingga tahun 2012 Provinsi Jawa Timur belum mampu mencapai target MDGs penurunan kematian ibu dan anak. Jumlah Kematian ibu dan Jumlah kematian bayi merupakan dua hal yang saling berkorelasi dan termasuk peristiwa yang dikategorikan kedalam variabel diskrit dan berdistribusi poisson oleh karena itu penelitian tentang jumlah kematian ibu dan bayi telah banyak dilakukan dengan menggunakan regresi poisson. Regresi Bivariat Poisson adalah metode pemodelan terbaik terhadap kasus jumlah kematian ibu dan bayi Hasil dari penelitian ini yaitu pada model bivariat poisson untuk variabel jumlah kematian ibu variabel yang signifikan mempengaruhi adalah variabel persentase tenaga kesehatan sedangkan pada variabel jumlah kematian bayi variabel-variabel prediktor yang signifikan adalah persentase tenaga kesehatan persentase persalinan oleh tenaga kesehatan persentase ibu hamil melaksanakan program K4 persentase rumah tangga ber-PHBS persentase ibu hamil mendapatkan tablet Fe3 persentase wanita berstatus kawin dibawah 20 tahun dan persentase peserta KB aktif.


ABSTRACT

Maternal mortality is the deaths of women during pregnancy or within 42 days from the termination of pregnancy. Infant mortality that uccured between the time after the baby born until has not been exactly one year old. Unti 2012 infant mortality and maternal mortality in east java still have not reached MDGs target. The number of maternal mortality and the number of infant mortality are two things that are correlated and includes cases that are categorized into discrete variables and Poisson distribution. Therefore many researches about maternal mortality and infant mortality in east java have been resolved using poisson regression model. Bivariate poisson regression is the best method for modeling maternal mortality and infant mortality. The results of this study are variables that significantly have effects on maternal mortality using bivariate poisson regression is percentage of health professionals. Variable that significantly has effect on infant mortality are percentage of health professionals percentage of giving birth by healthy professionals percentage of pregnant women carry K4 program percentage of PHBS household percentage of pregnant women get Fe3 tablets percentage of women are married under 20 years and percentage of active participants KB.



KeywordsJumlah Kematian Ibu, Jumlah Kematian Bayi, Regresi Bivariat Poisson
 
Subject:  Analisi Regresi
Contributor
  1. Dr. Purhadi, M.Sc
Date Create: 16/03/2016
Type: Text
Format: PDF
Language: Indonesian
Identifier: ITS-Undergraduate-13001150008443
Collection ID: 13001150008443
Call Number: RSSt 519.536 Rac p


Source
Undergraduate Theses Of Statistics RSSt 519.536 Rac p, 2016

Coverage
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Copyright @2016 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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  1.  ITS-Undergraduate-40804-1310100088-Abstract_id.pdf - 101 KB
  2.  ITS-Undergraduate-40804-1310100088-Abstract_en.pdf - 85 KB




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