Penerapan Model Regresi Logistik untuk Mengidentifikasi Potensi Faktor Risiko Malaria di Sumatera Utara

Abstract

In this study the aim was to form a mathematical model based on risk factors that have an influence on the spread of malaria in North Sumatra Province. The data used in this research is secondary data obtained from the North Sumatra Provincial Health Office. The sample used in this study was 368 patient data. Modeling of the risk factors that influence the spread of malaria using the binary logistic regression method. The response variable used is of two categories. The predictor variables that will be studied are 5 variables, including age, gender, occupation, classification of transmission, and type of parasite. Parameter estimation uses the maximum likelihood estimation method. Of the 5 predictor variables studied, only 2 variables were found to have a significant effect on the response variable, so that the binary logistic regression model obtained was . In this study the accuracy of classification was obtained at 92,4%.