Decision Tree Classification Method to Classify the Diabetic Risk at Pondok Rumput Area
Abstract
The expanding diabetic epidemic worldwide has influenced health status of many countries including Indonesia. The change in how people consume food and in lifestyle has made Indonesia into top ten of country with diabetic risk. Diabetes mellitus (DM) is a group of metabolic disorders characterized by high blood glucose levels over a prolonged period. The purpose of this study is to classify diabetic risk of Pondok Rumput resident in the classification model. The attributes in the study are made up from personal information obtained from the participant’s information and their blood glucose level collected during the research. This classification analysis is implemented to generate the decision tree consisting of useful variable related to the diabetic risk.