Prediksi Tingkat Intensitas Resiko Selama Kehamilan Dengan Regresi Logistik Ordinal

Abstract

Ordinal logistik regression is an analytical method used to determine the relationship between a response variable and predictor variables, where the response variable is ordinal-scaled, consisting of three or more categories with a ranked measurement scale. Ordinal logistic regression can be applied in the analysis of Predicting the Intensity Level of Risk During Pregnancy. The aim of this study is to identify the factors that significantly influence the intensity level of risk during precnancy using ordinal logistic regression. This study utilizes secondari data obtained from the Kaggle website, with a sampel of 240 prignant women patients and six independent variables. The results indicate that two independet variables significantly affect the hight intensity level of pregnancy risk, namely body temperature (X₄) and blood sugar (X₅).