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

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