Sistem Pakar Deteksi Penyakit Tanaman Sagu Dengan Metode Decision Tree Berbasis Android

Abstract

Sago (Metroxylon Spp) is a plant with a high carbohydrate content. In some areas, such as in Biak Regency, sago is the main food for the community. The population of the sago forest is decreasing, one of the reasons is pest attacks, on the sago trees that grow naturally. The decision tree is a classification method that uses the representation of a tree structure that contains alternatives for solving a problem. This tree also shows the factors that influence the alternative outcomes of the decision accompanied by an estimate of the final result when we make that decision. This study aims to create an expert system for disease detection using decision trees. Based on these symptoms, the implementation process determines several symptoms that will be concluded with the relevant disease. This study concludes that the system has been successfully created and implemented properly, including the system