Faktor-Faktor Yang Mempengaruhi Jumlah Kasus Gizi Di Jawa Timur Menggunakan Regresi Poisson

Moch Bagaswara, - (2014) Faktor-Faktor Yang Mempengaruhi Jumlah Kasus Gizi Di Jawa Timur Menggunakan Regresi Poisson. Diploma thesis, Institut Technology Sepuluh Nopember.

[thumbnail of 1311030061-Non Degree.pdf]
Preview
Text
1311030061-Non Degree.pdf - Published Version

Download (1MB) | Preview

Abstract

Di Negara-negara berkembang seperti Indonesia, kasus gizi
buruk termasuk penyebab utama kematian terhadap bayi dan balita.
Gizi buruk merupakan salah satu masalah kesehatan masyarakat di
dunia. Jumlah kasus gizi buruk yang terjadi di Jawa Timur merupakan
salah satu contoh data count. Penelitian ini ingin mendapatkan model
hubungan antara jumlah kasus gizi buruk yang terjadi di Jawa Timur
dengan variabel-variabel bebas yang diduga mempengaruhinya.
Berdasarkan hasil analisis dan pembahasan yang telah diuraikan pada
bab IV, model terbaik untuk pemodelan jumlah kasus gizi buruk yang
terjadi di kabupaten/kota di Jawa Timur tahun 2012 berdasarkan
kriteria yang dihasilkan dengan model Regressi Poisson yang terbentuk
dari kombinasi lima variabel bebas dengan nilai devians yang diperoleh
sebesar 11011. Faktor-faktor yang mempengaruhi jumlah kasus gizi
buruk yang terjadi kabupaten/kota di Jawa Timur meliputi persentase
keluarga sadar gizi di tiap kabupaten/kota di Jawa Timur (X1),
persentase tinggi badan/umur (X2), persentase berat badan/tinggi
badan (X3), persentase berat badan/umur (X4) dan presentase
pemberian ASI eksklusif (X5). Peningkatan maupun penurunan jumlah
kasus gizi buruk yang terjadi di kabupaten/kota di Jawa Timur
tergantung dari nilai koefisien variabel-variabel yang berpengaruh.
======================================================================================================
In developing countries such as Indonesia, cases of malnutrition
including leading causes of death for infants and toddlers. Malnutrition
is a public health problem in the world. The number of cases of
malnutrition that occurred in East Java is one example of the
data count. This study would like to get a model of the relationship
between the number of cases malnutrition that occured un East Java
with independent variables suspected of influencing it. Based on the
analysis and discussion that has been described in chapter IV, the best
model for modeling the number of cases of malnutrition that occured in
the district/city in East Java in 2012 based on criteria that generated by
Poisson Regression models were formed for the combination og the five
independent variables with the value devians obtained for 11011.
Factors affecting the number of cases of malnutrition that occurs
district/city in East Java (X1), the percentage height/age (X2),
percentage of body weight/height (X3), percentage of body
weight/age (X4) and the percentage of exclusive breast feeding (X5).
The increase or decrease in the number of cases of malnutrtion that
occured in the district/city in East Java, depending on the value of the
coefficient of the variables that influence.

Item Type: Thesis (Diploma)
Additional Information: RSSt 519.536 Bag f
Uncontrolled Keywords: Regresi Poisson, Gizi Buruk
Subjects: Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression
Divisions: Faculty of Mathematics and Science > Statistics > 49401-(D3) Diploma 3
Depositing User: Mr. Tondo Indra Nyata
Date Deposited: 12 Oct 2018 07:27
Last Modified: 12 Oct 2018 07:27
URI: http://repository.its.ac.id/id/eprint/59863

Actions (login required)

View Item View Item