CLASSIFICATION OF STUNTING IN CHILDREN UNDER FIVE YEARS IN PADANG CITY USING SUPPORT VECTOR MACHINE

Abstract

Stunting is a nutritional problem in children characterized by a child’s height that is less than twice the standard deviation of the median standard of children growth that has been determined by the WHO. Stunting is influenced by many factors. If the conditional of these factors were known, it could be expected to know whether a child is stunted or not. In this study, the prediction of stunting was carried out using the Support Vector Machine (SVM) classification method. SVM is a method to find the best hyperplane that can be used to separate two or more classes. In this study, the parameters of the SVM model that must be determined are the cost value and gamma. Based on the research results with parameters cost = 10 and gamma = 5, a classification estimation result with 100% accuracy can be obtained.