Dwiargatra, Arrafi (2019) Pemodelan Faktor-Faktor Yang Mempengaruhi Angka Kematian Bayi Dan Angka Kematian Anak Di Provinsi Jawa Timur Tahun 2017 Menggunakan Bivariat Gamma Regression. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Provinsi Jawa Timur merupakan salah satu daerah di Indonesia memiliki Angka Kematian Bayi dan Angka Kematian Anak yang tinggi. Dikhawatirkan Angka Kematian Bayi dan Angka Kematian Anak di Jawa Timur dapat meningkat melewati target yang ditentukan SDG’s. Dari permasalahan tersebut dapat diselesaikan dengan menggunakan metode Bivariat Gamma Regresion untuk mengetahui variabel prediktor yang mempengaruhi Angka Kematian Bayi dan Angka Kematian Anak. Data yang digunakan berasal dari Dinas Kesehatan Jawa Timur berupa publikasi Profil Kesehatan Provinsi Jawa Timur tahun 2017.Variabel prediktor yang mempengaruhi Angka Kematian Bayi yaitu variabel persentase persalinan oleh tenaga kesehatan, persentase bayi lahir berat badan rendah, dan persentase penduduk miskin. Untuk variabel prediktor yang mempengaruhi Angka Kematian Anak yaitu variabel persentase persalinan oleh tenaga kesehatan, persentase komplikasi kebidanan yang ditangani, persentase bayi lahir berat badan rendah, persentase penduduk miskin, dan persentase perempuan kawin dibawah 17 tahun
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East Java Province is one of the regions in Indonesia that has a high Infant Mortality Rate and Child Mortality Rate. It is feared that the infant mortality rates and child mortality rates in East Java can increase beyond the target set by SDG's. From these problems can be solved by using the Bivariate Gamma Regression method to determine the predictor variables that affect the Infant Mortality Rate and Child Mortality Rate. The data used came from the East Java Pubic Health Office in the form of the publication of the Public Health Profile of East Java Province in 2017. Predictor variables that affect the Infant Mortality Rate are the percentage variable labor by health workers, percentage of low birth weight babies, and percentage of proverty society. Predictor variables that affect the Child Mortality Rate, are percentage of births by health workers, percentage of obstetric complications handled, percentage of low birth weight babies, the percentage of proverty society, and percentage of married women under 17 years of age
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSt 519.536 Dwi p-1 2019 |
| Uncontrolled Keywords: | Angka Kematian Bayi, Angka Kematian Anak, Bivariat Gamma Regression, Jawa Timur |
| Subjects: | Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Dwiargatra Arrafi |
| Date Deposited: | 06 Jun 2023 06:17 |
| Last Modified: | 06 Jun 2023 06:17 |
| URI: | http://repository.its.ac.id/id/eprint/63947 |
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