PEMODELAN FAKTOR-FAKTOR YANG MEMPENGARUHI KEMATIAN IBU MELAHIRKAN DI JAWA TENGAH DENGAN ZERO INFLATED POISSON REGRESSION

(MODELING OF FACTORS INFLUENCING MOTHER GIVING BIRTH'S MORTALITY IN CENTRAL JAVA WITH ZERO INFLATED POISSON REGRESSION)

  • Yusrina Ratna Annisa Department of Mathematics, Jenderal Soedirman University
  • Jajang Jajang Department of Mathematics, Jenderal Soedirman University
  • Agus Sugandha Department of Mathematics, Jenderal Soedirman University

Abstract

ABSTRACT. One of the targets of the Sustainable Development Goals (SDGs) is to reduce the maternal mortality rate by 2030. In reducing the maternal mortality rate, it is necessary to first study the factors that influence it. The number of maternal mortality rate in Central Java Province in 2018 was a discrete random variable that had a Poisson distribution and had many zero values. Generally, a model was used to counting data is Poisson regression model. However, the maternal mortality that has many zero values caused overdispersion. Therefore, Poisson model was not relevant in that case. In this paper, we used Zero Inflated Poisson (ZIP) model to overcome overdispersion caused by many zero values. The results of the research show that ZIP model can explained influence the number of maternal mortality. Based on this research, the factors such as provision of "F" "e" _"3" tablets, pregnant women who experience obstetric complications, and households with a clean and healthy lifestyle can explain the number of maternal mortality.
Keywords: maternal mortality, overdispersion, zero inflated poisson.


ABSTRAK. Salah satu target Sustainable Development Goals (SDGs) adalah menurunkan angka kematian ibu pada tahun 2030. Dalam menekan angka kematian ibu perlu dikaji terlebih dahulu faktor-faktor yang mempengaruhinya. Jumlah kematian ibu melahirkan di Provinsi Jawa Tengah tahun 2018 merupakan variabel acak diskrit yang berdistribusi Poisson dan memiliki banyak nilai nol. Biasanya model yang digunakan untuk data cacah adalah model regresi Poisson. Banyaknya nilai nol memunculkan overdispersi. Dengan demikian penggunaan regresi Poisson tidak relevan dalam kasus data ini. de Paper ini membahas model Zero Inflated Poisson (ZIP) dalam mengangani overdispersi akibat banyaknya nilai nol. Hasil penelitian menunjukkan bahwa model ZIP dapat menjelaskan faktor- faktor yang mempengaruhi angka kematian ibu melahirkan. Berdasarkan penelitian ini faktor-faktor seperti pemberian tablet "F" "e" _"3" , ibu hamil yang mengalami komplikasi kebidanan, dan rumah tangga berperilaku hidup bersih dan sehat dapat menjelaskan jumlah angka kematian ibu melahirkan.
Kata kunci: angka kematian ibu, overdispersi, zero inflated poisson.

Published
2021-02-08
How to Cite
ANNISA, Yusrina Ratna; JAJANG, Jajang; SUGANDHA, Agus. PEMODELAN FAKTOR-FAKTOR YANG MEMPENGARUHI KEMATIAN IBU MELAHIRKAN DI JAWA TENGAH DENGAN ZERO INFLATED POISSON REGRESSION. Jurnal Ilmiah Matematika dan Pendidikan Matematika, [S.l.], v. 12, n. 2, p. 1-13, feb. 2021. ISSN 2550-0422. Available at: <http://jos.unsoed.ac.id/index.php/jmp/article/view/3615>. Date accessed: 27 apr. 2024. doi: https://doi.org/10.20884/1.jmp.2020.12.2.3615.

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