Identifikasi Ubi Jalar Menggunakan Metode Decison Tree J48

Abstract

Cassava is one of the most important staple food in the human body.Like a rice, sweet potato contains carbohydrates. Cassava widely used by consumers as their basic needs as well as their health needs. The characteristics of cassava, like its shape, size, and tuber formation,are necessary to know utilization. Therefore, in order to identify cassava using its features, an application is created in this research. In this research are used data, which divided into 40 training set and 20 testing set. Using J48 decision tree, training set are processed to produce an identification model. The model then was tested using 20 testing set. The result showed that only 19 can be identified correctly. Hence, the accuracy of the model reaches 90%.