relation: https://digilib.uin-suka.ac.id/id/eprint/56136/
title: PEMODELAN REGRESI LOGISTIK ORDINAL PROPORTIONAL ODDS MODEL (Studi Kasus : Faktor-Faktor yang Mempengaruhi Status Gizi Balita di Puskesmas Umbulharjo I Yogyakarta 2022)
creator: Nurul Amni, NIM.: 18106010018
subject: Matematika
description: Ordinal Logistic Regression is an analysis that describes the relationship between  the dependent variable and the independent variable. The dependent variable in  ordinal logistic regression amounts to more than two consecutive categories and  the independent variables are categorical or continuous data with two or more  variables. The model that is often used in ordinal logistic regression is a model that  meets the assumption of parallel lines, which is called a proportional odds model.  The proportional odds model is a model in which each cumulative logit has its own  intercept, and has the same number of parameters. This study aims to model and  determine the factors that have a significant effect on the assessment of the  nutritional status of children under five at the Umbulharjo I Health Center in  Yogyakarta in 2022. The data used is secondary data from 245 children under five  based on an anthropometric assessment of body weight for age (W/U). with Very  Low Weight, Low Weight, Normal Weight, and Over Weight categories. The results  of the descriptive analysis show that out of 245 toddlers at the Umbulharjo I  Yogyakarta Health Center in 2022, 76.73% have normal weight, 13.47% have a  greater risk of weight, 8.57% have less weight, and 1.22 % are very underweight.  Furthermore, the factors that significantly affect the nutritional status of toddlers  at the Umbulharjo I Yogyakarta Health Center are birth length (OR=13.52), age  (OR=0.73), current baby weight (OR=6.22), and gender (OR = 0.30).
date: 2022-12-07
type: Thesis
type: NonPeerReviewed
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/56136/1/18106010018_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/56136/2/18106010018_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf
identifier:   Nurul Amni, NIM.: 18106010018  (2022) PEMODELAN REGRESI LOGISTIK ORDINAL PROPORTIONAL ODDS MODEL (Studi Kasus : Faktor-Faktor yang Mempengaruhi Status Gizi Balita di Puskesmas Umbulharjo I Yogyakarta 2022).  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.