Analisis Faktor Risiko Kematian Ibu Dan Kematian Bayi Dengan Pendekatan Regresi Poisson Bivariat Di Provinsi Jawa Timur Tahun 2013

Arkandi, Indi (2015) Analisis Faktor Risiko Kematian Ibu Dan Kematian Bayi Dengan Pendekatan Regresi Poisson Bivariat Di Provinsi Jawa Timur Tahun 2013. Undergraduate thesis, Institut Technology Sepuluh Nopember.

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Abstract

Angka kematian ibu dan bayi merupakan salah satu indikator yang paling menonjol untuk menilai derajat kesehatan masyarakat. Tingginya angka kematian ibu dan kematian bayi di Indonesia salah satunya berasal dari Provinsi Jawa Timur. Perlu adanya tindakan dari pemerintah untuk menekan angka kematian ibu dan bayi di Jawa Timur. Kematian ibu dan kematian bayi merupakan dua hal yang saling berkaitan karena selama masa kandungan, gizi yang diperoleh janin disalurkan dari tubuh ibu melalui plasenta sehingga kondisi ibu selama masa kehamilan akan berpengaruh pada janin dan bayi yang akan dilahirkannya. Sehingga perlu dilakukan penelitian untuk menganalisis faktor-faktor yang mempengaruhi kedua angka kematian tersebut dengan metode Regresi Poisson Bivariat menggunakan algoritma Expectation Maximization. Terdapat tiga buah model dengan nilai kovarians yang berbeda pada Regresi Poisson Bivariat. Oleh karena itu perlu memilih salah satu dari ketiga model tersebut. Setelah mendapat model terbaik dengan kriteria AIC, diketahui bahwa model terbaik adalah model dengan nilai kovarians antara jumlah kematian ibu dan bayi adalah fungs variabel bebas. Pada model terbaik variabel yang signifikan mempengaruhi jumlah kematian ibu adalah persentase kunjungan ibu hamil dengan K4 dan persentase ibu hamil yang mendapat tablet Fe3. Sedangkan variabel yang signifikan mempengaruhi jumlah kematian bayi adalah semua variabel prediktor kecuali variabel persentase kunjungan ibu hamil dengan K1. ==================================================================================================== Maternal and infant mortality rate is one of the most prominent indicators to assess the degree of public health. East Java is one of the provinces that contribute great number of maternal and infants’ mortality in Indonesia. The government needs to reduce the number of maternal and infant mortality in East Java. Maternal and infants’ mortality are interrelated one another, because during gestation period, the fetus obtains the nutrition through the placenta from the mother's body, so that the condition of the mother during pregnancy will affect the fetus and the baby. Therefore, it is necessary to analyze the factors that affect both mortalities simultaneously with Bivariate Poisson Regression method, by using Expectation Maximization algorithm. There are three models with different covarance values on Bivariate Poisson Regression. Therefore, it is necessary to choose one of three models. After obtaining the best model with AIC criteria, it is known that the best model to be used is the model, which is using covariates on covariance. In the best model, variables that significantly affect the number of maternal mortality is the visit percentage of pregnant women with K4 and the percentage of pregnant women who received Fe3 tablets. While variables that signifycantly affect the number of infants’ mortality is the visit percentage of pregnant women with K4, the percentage of pregnant women who receive Fe3 tablets, the percentage of obstetrical complications, the percentage of births attended by skilled health personnel, the percentage of active participation in family planning, as well as the percentage of clean and healthy behavior in household.

Item Type: Thesis (Undergraduate)
Additional Information: RSSt 519.536 Ark a
Uncontrolled Keywords: Algoritma EM, Jawa Timur, Kematian Bayi, Kematian Ibu, Regresi Poisson Bivariat
Subjects: Q Science > QA Mathematics > QA278.2 Regression Analysis
Divisions: Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Mr. Tondo Indra Nyata
Date Deposited: 21 Nov 2018 03:49
Last Modified: 21 Nov 2018 03:49
URI: https://repository.its.ac.id/id/eprint/59976

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