Pemodelan Regresi Nonparametrik Spline Truncated Pada Data Angka Kematian Ibu Di Jawa Timur

Rahim, Fadhlul (2019) Pemodelan Regresi Nonparametrik Spline Truncated Pada Data Angka Kematian Ibu Di Jawa Timur. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Angka Kematian Ibu (AKI) adalah jumlah kematian ibu yang dicatat selama masa kehamilan, persalinan, dan nifas yang disebabkan oleh kehamilan, persalinan, dan nifas, tetapi bukan yang disebabkan oleh kecelakaan atau terjatuh. Sejak tahun 2012 hingga tahun 2015 tercatat bahwa AKI mengalami penurunan dari 359 menjadi 305 kematian ibu per 100.000 kelahiran hidup. Walaupun terjadi penurunan, tetapi angka tersebut masih jauh dari target Sustainable Development Goals (SDGs) yaitu sebesar 70 kematian per 100.000 kelahiran hidup. Metode analisis yang digunakan untuk mengetahui faktor-faktor yang mempengaruhi AKI yaitu Regresi Nonparametrik Spline Truncated karena pola korelasi antara AKI dengan masing-masing variabel prediktor yang didapatkan tidak membentuk suatu pola tertentu. Berdasarkan model yang diperoleh, hasilnya adalah semua variabel prediktor berpengaruh signifikan terhadap AKI, yaitu persentase rumah tangga berPHBS, persentase penanganan komplikasi kebidanan, persentase kunjungan ibu hamil, persentase rumah tangga menerima bantuan tunai, serta rasio puskesmas dan rumah sakit dengan nilai koefisien determinasi sebesar 88,13%. ================================================================================================ Maternal Mortality is the number of maternal deaths recorded during pregnancy, childbirth, and childbirth caused by pregnancy and childbirth, but not caused by accidents or falls. Since 2012 until 2015 it has been noted that maternal mortality rate has decreased from 359 to 305 maternal deaths per 100,000 live births. Despite the decline, the figure is still far from the target of the Sustainable Development Goals (SDGs) of 70 deaths per 100,000 live births. The analytical method used to determine the factors that influence maternal mortality rate is Nonparametric Spline Truncated Regression because the pattern of correlation between maternal mortality rate and each predictor variable obtained does not form a particular pattern. Based on the model obtained, the results are that all predictor variables have a significant effect on maternal mortality rate, namely the percentage of households with clean and healthy behavior, percentage of obstetric complications handling, percentage of pregnant women visits, percentage of households receiving cash assistance, and ratio of health centers and hospitals with a determination coefficient is 88,13 percent.

Item Type: Thesis (Undergraduate)
Additional Information: RSSt 519.536 Rah p-1 2019
Uncontrolled Keywords: Angka Kematian Ibu, Regresi Nonparametrik Spline Truncated, SDGs
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HA Statistics > HA31.35 Analysis of variance
H Social Sciences > HA Statistics > HA31.3 Regression. Correlation
Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression
Divisions: Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Fadhlul Rahim
Date Deposited: 05 Jul 2021 09:18
Last Modified: 05 Jul 2021 09:18
URI: https://repository.its.ac.id/id/eprint/60763

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