Analisis Faktor-Faktor yang Mempengaruhi Angka Kematian Ibu di Provinsi Jawa Barat Menggunakan Regresi Data Panel

Cahyane, Tahta Yodya Setiya Kusuma (2023) Analisis Faktor-Faktor yang Mempengaruhi Angka Kematian Ibu di Provinsi Jawa Barat Menggunakan Regresi Data Panel. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Angka Kematian Ibu (AKI) merupakan indikator utama dalam menilai keberhasilan program kesehatan ibu. Menurut hasil Survei Penduduk Antar Sensus (SUPAS) pada tahun 2015, AKI di Indonesia adalah 305 per 100000 kelahiran hidup dimana angka ini masih cukup jauh dari target SDGs yaitu kurang dari 70 per 100000 kelahiran hidup. Provinsi yang menyumbang jumlah kematian ibu terbanyak kedua di Indonesia adalah Jawa Barat dengan total 1204 kasus pada tahun 2021. Kematian ibu dapat disebabkan oleh berbagai faktor seperti terjadinya komplikasi pada ibu hamil, kondisi kesehatan ibu, kemudahan dalam mengakses pelayanan kesehatan, serta kondisi lingkungan disekitar ibu. Dalam upaya mengurangi AKI di Provinsi Jawa Barat, perlu dilakukan penelitian lebih lanjut mengenai faktor-faktor yang berpengaruh terhadap kematian ibu di Jawa Barat. Dalam penelitian yang mengamati unit pengamatan (Kabupaten/Kota) dalam kurun waktu tertentu, metode regresi data panel sangat cocok digunakan. Penelitian ini menggunakan Angka Kematian Ibu di setiap Kabupaten/Kota di Provinsi Jawa Barat sebagai variabel respon. Variabel prediktor yang digunakan dalam penelitian ini diantaranya persentase penanganan komplikasi kebidanan, persentase ibu hamil mendapatkan tablet Fe3, rasio puskesmas terhadap penduduk, persentase peserta KB aktif, persentase ibu hamil dengan cakupan K4, persentase persalinan ditolong tenaga kesehatan, persentase rumah tangga ber-PHBS, persentase penduduk miskin, dan rata-rata lama sekolah perempuan. Penelitian ini diharapkan dapat membawa manfaat bagi pemerintah Provinsi Jawa Barat dalam upaya menekan Angka Kematian Ibu di Jawa Barat. Hasil analisis menunjukkan bahwa model terbaik untuk pemodelan Angka Kematian Ibu di Jawa Barat adalah model FEM dengan cross-section SUR. Model ini memiliki nilai R-Square sebesar 83,11% serta memiliki tiga variabel yang signifikan yaitu persentase penanganan komplikasi kebidanan, persentase penduduk miskin, dan rata-rata lama sekolah perempuan.
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The Maternal Mortality Rate (MMR) is the primary metric used to assess the success of maternal health programs. According to the results of the 2015 Inter-Census Population Survey (SUPAS), the MMR in Indonesia is 305 per 100,000 live births, which is still far from the SDG target of less than 70 per 100,000 live births. The province that contributes the second-largest number of maternal deaths in Indonesia is West Java, with a total of 1204 cases in 2021. Maternal death can be caused by various factors, such as complications in pregnant women, maternal health conditions, ease of accessing health services, and environmental conditions around the mother. In an effort to reduce MMR in West Java, it is necessary to conduct further research on the factors that influence maternal mortality in West Java. In research that observes units of observation (Districts/Cities) over a certain period of time, the panel data regression models is very suitable for use. This study uses the Maternal Mortality Rate in each Regency/City in West Java Province as the response variable. The predictor variables used in this study included the percentage of obstetric complications handled, the percentage of pregnant women receiving Fe3 tablets, the ratio of public health center to population, the percentage of active family planning participants, the percentage of pregnant women with K4 coverage, the percentage of deliveries assisted by health personnel, the percentage of households with PHBS, the percentage of poor people, and the average length of schooling for girls. This research is expected to bring benefits to the West Java provincial government in an effort to reduce maternal mortality in West Java. The results of the analysis show that the best model is the Fixed Effect Model (FEM) with cross-section SUR. The model has an R-Square value of 83,11% and has three significant variables namely the percentage of obstetric complications handled, the percentage of poor people, and the average length of schooling for girls

Item Type:	Thesis (Other)
Uncontrolled Keywords:	AKI (Angka Kematian Ibu), Provinsi Jawa Barat; Regresi Data Panel, MMR (Maternal Mortality Rate), West Java, Panel Data Regression
Subjects:	H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Tahta Yodya Setiya Kusuma Cahyane
Date Deposited:	11 Aug 2023 01:30
Last Modified:	11 Aug 2023 01:30
URI:	http://repository.its.ac.id/id/eprint/104478

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