Latief, Muhammad Dhany (2020) Pemodelan Faktor-Faktor yang Mempengaruhi Angka Kematian Bayi dan Angka Kematian Balita di Provinsi Jawa Timur Tahun 2018 Menggunakan Bivariat Gamma Regression. Other thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
06211340000102-Undergraduate_Thesis.pdf - Accepted Version Download (3MB) | Preview |
Abstract
Provinsi Jawa Timur memiliki Angka Kematian Bayi dan Angka Kematian Balita yang cukup tinggi dari tahun ke tahun. Angka Kematian Bayi dan Angka Kematian Balita di Jawa Timur dikhawatirkan dapat meningkat melewati target yang ditentukan SDG. Permasalahan ini dapat diselesaikan dengan metode Bivariat Gamma Regression untuk mengetahui variabel yang mempengaruhi Angka Kematian Bayi dan Angka Kematian Balita. Data yang digunakan berasal dari Dinas Kesehatan Jawa Timur berupa publikasi Profil Kesehatan Provinsi Jawa Timur tahun 2018. Variabel yang mempengaruhi Angka Kematian Bayi yaitu persentase persalinan oleh tenaga kesehatan, persentase bayi lahir berat badan rendah, dan persentase penduduk miskin, sedangkan variabel yang mempengaruhi Angka Kematian Balita yaitu variabel persentase persalinan oleh tenaga kesehatan, persentase komplikasi kebidanan yang ditangani, persentase bayi lahir berat badan rendah, dan persentase penduduk miskin.
===============================================================================================================================
The Infant Mortality Rate and Child Mortality Rate of East Java have been high for years. It is feared that the Infant Mortality Rates and Child Mortality Rates in East Java might increase beyond the target set by SDG. This can be solved using the Bivariate Gamma Regression method to determine variables that affect the Infant Mortality Rate and Child Mortality Rate. The data used here was taken from the publication of the Public Health Profile of East Java Province in 2018, published by the East Java Public Health Office. Variables that affect the Infant Mortality Rate are the percentage of labor helped by health workers, percentage of low birthweight, and percentage of people in poverty. Variables that affect Child Mortality Rate are percentage of labor helped by health workers, percentage of obstetric complications handled, percentage of low birthweight, and the percentage of people in poverty.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSt 519.536 Lat p-1 2020 |
| Uncontrolled Keywords: | Angka Kematian Bayi, Angka Kematian Balita, Bivariate Gamma Regression, Jawa Timur |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA31.3 Regression. Correlation H Social Sciences > HN Social history and conditions. Social problems. Social reform Q Science > QA Mathematics > QA276 Mathematical statistics. Time-series analysis. Failure time data analysis. Survival analysis (Biometry) Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression Q Science > QA Mathematics > QA278 Cluster Analysis. Multivariate analysis. Correspondence analysis (Statistics) |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | M Dhany Dhany |
| Date Deposited: | 08 May 2023 01:16 |
| Last Modified: | 08 May 2023 01:16 |
| URI: | http://repository.its.ac.id/id/eprint/74622 |
Actions (login required)
 |
View Item |