%A NIM.: 18106010018 Nurul Amni
%O Pembimbing: Mohammad Farhan Qudratullah, S.Si., M.Si.,
%T PEMODELAN REGRESI LOGISTIK ORDINAL PROPORTIONAL ODDS MODEL (Studi Kasus : Faktor-Faktor yang Mempengaruhi Status Gizi Balita di Puskesmas Umbulharjo I Yogyakarta 2022)
%X 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).
%K nutritional status; toddlers; ordinal logistic regression; proportional
odds model
%D 2022
%I UIN SUNAN KALIJAGA YOGYAKARTA
%L digilib56136