Cahyani, Probowati Dwi (2017) Pemodelan Jumlah Kematian Ibu di Provinsi Jawa Timur Tahun 2015 dengan Geographically Weighted Negative Binomial Regression. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penduduk Provinsi Jawa Timur tahun 2015 sebesar 38.847.561 jiwa. Dalam kinerja bidang kesehatan untuk ibu hamil sudah mencapai target walaupun jumlah kematian ibu yang masih tinggi. Angka Kematian Ibu (AKI) di Jawa Timur 89,6 kematian per 100.000 kelahiran. Target yang ditetapkan MDGs adalah 102 kematian per 100.000 kelahiran. Walaupun Jawa Timur sudah mencapai target yang ditetapkan tetapi peningkatan kualitas pelayanan untuk ibu hamil masih kurang. Untuk mengetahui faktor-faktor yang mempengaruhi jumlah kematian ibu maka dilakukan pemodelan jumlah kematian ibu dengan pendekatan Geographically Weighted Negative Binomial Regression (GWNBR). Matriks pembobot yang digunakan adalah fungsi fixed kernel dan fungsi adaptive kernel. Variabel prediktor yang digunakan adalah persentase ibu hamil yang melaksanakan program K1, persentase ibu hamil yang melaksanakan program K4, jumlah pasangan yang melaksanakan program KB, persentase komplikasi kebidanan yang ditolong oleh tenaga kesehatan, persentase ibu hamil yang mendapatkan zat besi Fe3, persentase ibu hamil yang mendapatkan imunisasi TT2+, jumlah tenaga kesehatan di tiap kabupaten dan kota, persentase pelayanan kesehatan ibu nifas, persentase ibu nifas atau bersalin yang mendapat vitamin A, dan persentase rumah tangga berperilaku bersih dan sehat. Hasil model terbaik yang didapatkan dengan pembobot fixed tricube dengan nilai AIC 194.02.
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Population of East Java Province in 2015 amounted to 38.847.561 inhabitants. In the health performance for pregnant women, have reached the target although the number of maternal deaths is high. Maternal Mortality Rate (MMR) in East Java was 89.6 deaths per 100,000 births. The target set by the MDGs is 102 deaths per 100,000 births. Although East Java has reached the target set but improving the quality of services for pregnant women is still lacking. To know the factors that influence the number of maternal deaths, they was modeled the number of maternal mortality using the Geographically Weighted Negative Binomial Regression (GWNBR). The weighting matrix used is fixed kernel and adaptive kernel. The predictor variable use the percentage of pregnant women who didd the K1 program, the percentage of pregnant women who did the K4 program, the ratio of couples who implemented the family planning program, the percentage of obstetric complications assisted by health personnel, the percentage of pregnant women who received iron tablets, the percentage of pregnant women who got TT2 + immunization, the ratio of health workers in each district and city, percentage of postpartum maternal health services, percentage of postpartum or maternal women receiving vitamin A, and percentage of households being clean and healthy. The result obtained that the best model use fixed tricube kernel with AIC is 194.02
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Adaptive kernel, Fixed kernel, GWNBR, Jumlah kematian ibu |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HQ The family. Marriage. Woman |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Probowati Dwi Cahyani |
| Date Deposited: | 08 Jan 2018 04:00 |
| Last Modified: | 05 Mar 2019 07:52 |
| URI: | http://repository.its.ac.id/id/eprint/47840 |
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