Pemodelan Jumlah Kematian Ibu Nifas di Karesidenan Pekalongan Provinsi Jawa Tengah Tahun 2017 Menggunakan Regresi Zero-Inflated Poisson Inverse Gaussian

Rahayuning, Herni Anggi Riski (2020) Pemodelan Jumlah Kematian Ibu Nifas di Karesidenan Pekalongan Provinsi Jawa Tengah Tahun 2017 Menggunakan Regresi Zero-Inflated Poisson Inverse Gaussian. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

[thumbnail of 06211640000030-Undergraduate_Thesis.pdf]
Preview
Text
06211640000030-Undergraduate_Thesis.pdf

Download (2MB) | Preview

Abstract

Angka Kematian Ibu (AKI) adalah rasio kematian ibu pada masa kehamilan, persalinan, dan nifas di setiap 100.000 kelahiran hidup. Karesidenan Pekalongan merupakan karesidenan yang memiliki AKI tertinggi di Provinsi Jawa Tengah yang sebagian besar kematian disebabkan oleh ibu nifas. Regresi Zero-Inflated Poisson Inverse Gaussian (ZIPIG) merupakan model yang dapat menangani kasus overdispersi pada variabel respon. Pada penelitian ini digunakan data jumlah kematian ibu nifas menurut kecamatan di Karesidenan Pekalongan Provinsi Jawa Tengah tahun 2017 sebagai variabel respon dan enam variabel lainnya sebagai variabel prediktor. Data kematian ibu nifas tersebut memiliki nilai nol sebesar 60,44%, varians sebesar 0,912 dan mean sebesar 0,67 yang menandakan bahwa data mengalami overdispersi. Faktor yang berpengaruh signifkan terhadap jumlah kematian ibu nifas dengan menggunakan regresi ZIPIG yaitu persentase ibu nifas yang mendapatkan vitamin A (X1) dan persentase persalinan ibu hamil yang persalinannya ditolong oleh tenaga kesehatan (X3).
==================================================================================================================
Maternal Mortality Rate (MMR) is the ratio of maternal deaths during pregnancy, childbirth, and postpartum maternal in every 100.000 live births. Pekalongan Residency is a residency which has the highest MMR in Central Java Province, which most of death is caused by postpartum maternal mortality. Zero-Inflated Poisson Inverse Gaussian Regression (ZIPIGR) is a model that can handle cases of overdispersion in the response variable. In this study, the data was used by the number of postpartum maternal mortality, according to the sub-district of Pekalongan Residency of the Central Java Province in 2017 as a variable response and other six variables as predictor variables. The postpartum maternal mortality data has zero value of 60.44%, variance of 0.912 and the mean of 0.67 which indicates that the data overdispersion. The factors that significant on the number of postpartum maternal mortality using ZIPIG regression modelling are percentage of postpartum maternal mothers who get vitamin A (X1) and the percentage of childbirth of pregnant women whose childbirth is helped by health workers (X3).

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Extra Zeros, Maternal Mortality Ratio, Overdispersion, Puerperal, Zero-Inflated Poisson Inverse Gaussian Regression (ZIPIGR), Angka Kematian Ibu, Extra Zeros, Nifas, Overdispersi, Regresi Zero-Inflated Poisson Inverse Gaussian (ZIPIG)
Subjects: Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression
Divisions: Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Herni Anggi Riski Rahayuning
Date Deposited: 26 Aug 2020 12:43
Last Modified: 19 May 2023 14:49
URI: http://repository.its.ac.id/id/eprint/81242

Actions (login required)

View Item View Item