Annisa, Rochmatun (2019) Pemodelan Jumlah Kematian Bayi di Sulawesi Barat Menggunakan Metode Zero Inflated Poisson Regression. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Jumlah kematian bayi yang salah satunya dapat dicerminkan pada Angka Kematian Bayi (AKB) merupakan salah satu indikator untuk mengetahui perkembangan pembangunan sebuah negara. Target AKB pada Rencana Pembangunan Jangka Menengah Nasional (RPJMN) 2015-2019 yaitu sebesar 24 kematian per 1.000 kelahiran hidup. Berdasarkan SDKI 2017 nilai AKB di Sulawesi Barat sebesar 42 kematian per 1.000 kelahiran hidup. Faktor yang diduga mempengaruhi kematian bayi di Sulawesi Barat tidak hanya dalam bidang kesehatan tapi juga sosial ekonomi. Data jumlah kematian bayi di Sulawesi Barat merupakan data count yang memuat nilai 0. Oleh karena itu, analisis yang digunakan adalah Zero Inflated Poisson (ZIP) Regression. Hasil analisis ZIP regression didapatkan model terbaik dengan AIC dan AICc terkecil yaitu 324,3407 dan 326,7407 adalah model dengan kombinasi variabel persentase posyandu aktif, persentase penduduk terhadap akses air minum layak dan persentase penduduk terhadap akses sanitasi layak. Variabel yang berpengaruh signifikan pada model log adalah persentase posyandu aktif, persentase penduduk terhadap akses air minum layak dan persentase penduduk terhadap akses sanitasi layak. Pada model logit variabel yang berpengaruh adalah persentase posyandu aktif.
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The number of infant deaths, one of which can be reflected in the Infant Mortality Rate (IMR) is one indicator to determine the development of a country's development. The AKB target in the 2015-2019 Rencana Pembangunan Jangka Menengah Nasional (RPJMN) is 24 deaths per 1,000 live births. Based on the SDKI 2017, the IMR value in West Sulawesi is 42 deaths per 1,000 live births. Factors suspected of affecting infant mortality in West Sulawesi are not only in the health but also socio-economic fields. Data on the number of infant mortality in West Sulawesi is a data count that contains a value of 0. Therefore, the analysis used is Zero Inflated Poisson (ZIP) Regression to determine that factors influence infant mortality in West Sulawesi. The results of the ZIP regression analysis showed that the best model with the smallest AIC and AICc is 324,3407 and 326,7407 were models with a combination of the variables of the percentage of active posyandu, the percentage of residents to access to safe drinking water and the percentage of residents to access to proper sanitation. The variable that has a significant effect on the log model is the percentage of active posyandu, the percentage of the population to access to safe drinking water and the percentage of the population to access to proper sanitation. In the variable logit model that is influential is the percentage of active posyandu.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSt 519.536 Ann p-1 2019 |
| Uncontrolled Keywords: | Data Count, Jumlah Kematian Bayi, Sulawesi Barat, Zero Inflated Poisson Regression |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA31.3 Regression. Correlation |
| Divisions: | Faculty of Mathematics, Computation, and Data Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Rochmatun Annisa |
| Date Deposited: | 10 Jan 2024 02:22 |
| Last Modified: | 10 Jan 2024 02:22 |
| URI: | http://repository.its.ac.id/id/eprint/64144 |
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