Analisis Faktor-Faktor Yang Mempengaruhi Pneumonia Pada Balita Di Kota Surabaya Menggunakan Regresi Nonparametrik Spline

Nugroho, Argita Chintya Devi (2015) Analisis Faktor-Faktor Yang Mempengaruhi Pneumonia Pada Balita Di Kota Surabaya Menggunakan Regresi Nonparametrik Spline. Undergraduate thesis, Institut Technology Sepuluh Nopember.

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Abstract

Pneumonia merupakan infeksi paru-paru yang bisa menyebabkan kematian, pneumonia merupakan penyakit penyebab kematian tertinggi pada balita. Surabaya menduduki peringkat ke-empat setelah Gresik, Bojonegoro dan Sidoarjo. Telah ditemukan sebanyak 4.665 kasus 29,18% dari 22.454 perkiraan balita yang menderita pneumonia, kemudian tahun 2013 turun menjadi 20,78%. Tujuan keempat MDGs yaitu menurunkan angka kematian anak dengan target menurunkan angka kematian balita pada tahun 2015 dua per tiga dari tahun 1990 atau 32 kematian per 1000 kelahiran hidup. Untuk mengatasi masalah tersebut perlu diselidiki faktor-faktor yang diduga berpengaruh dalam peningkatan jumlah penderita pneumonia pada balita di Kota Surabaya tahun 2013. Adapun faktor-faktor tersebut yaitu persentase balita gizi buruk, persentase balita yang mendapat suplemen vitamin A, persentase berat bayi lahir rendah, persentase balita imunisasi campak dan pelayanan kesehatan balita. Karena pola data tersebut tidak mengikuti pola data tertentu, maka dilakukan pemodelan dengan menggunakan regresi nonparametrik spline. Model terbaik didapatkan dari titik knot optimal berdasarkan nilai Generalized Cross Validation (GCV) terkecil. Berdasarkan penelitian ini, model regresi nonparametrik spline terbaik dengan kombinasi titik knot (3,2,3,3,3) dengan semua variabel signifikan yaitu persentase balita gizi buruk (X1), persentase balita mendapat suplemen Vitamin-A (X2), persentase berat bayi lahir rendah (X3), imunisasi campak (X4) dan pelayanan kesehatan balita (X5). Model tersebut memiliki R2 sebesar 97,224%. ===================================================================================================== Pneumonia is a lung infection that can cause death, pneumonia is the leading causes of death in infants. Surabaya was ranked fourth after Gresik and Sidoarjo Bojonegoro. Have found as many as 4665 cases of 29.18% of the estimated 22,454 children under five who suffer from pneumonia, later in 2013 fell to 20.78%. Fourth MDG goal is to reduce child mortality by the target reduction in child mortality by the year 2015 two-thirds of 1990 or 32 deaths per 1,000 live births. To overcome these problems need to be investigated factors thought to influence in an increasing number of patients with pneumonia in infants in the city of Surabaya in 2013. As these factors are the percentage of malnourished children under five, the percentage of children who received vitamin A supplements, the percentage of low birth weight, the percentage of children immunized against measles and infant health care. Because the data patterns do not follow the pattern of specific data, then performed using nonparametric regression modeling with spline. The best model is obtained from the point of optimal knots based on the Generalized Cross Validation (GCV) the smallest. Based on this research, spline nonparametric regression models with the best combination knots points (3,2,3,3,3) with all significant variable is the percentage of children malnutrition (X1), the percentage of infants receive supplements of Vitamin-A (X2), the percentage by weight low birth (X3), measles immunization (X4) and infant health services (X5). The model has a R2 of 97.224%.

Item Type: Thesis (Undergraduate)
Additional Information: RSSt 519.536 Nug a
Uncontrolled Keywords: GCV, Pneumonia, Regresi Nonparametrik, Spline, Titik knot
Subjects: Q Science > QA Mathematics > QA278.2 Regression Analysis
Divisions: Faculty of Mathematics and Science > Statistics > (S1) Undergraduate Theses
Depositing User: Mr. Tondo Indra Nyata
Date Deposited: 23 Nov 2018 03:16
Last Modified: 23 Nov 2018 03:16
URI: http://repository.its.ac.id/id/eprint/59995

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