Open AccessPENERAPAN METODE ITERATIVE DICHOTOMIZER (ID3) UNTUK DIAGNOSA HAMA TANAMAN ANGGREK
Author(s) -
Fathul Hafidh,
Muhammad Edya Rosadi,
Rahmadi Agus
Publication year - 2017
Publication title -
jtiulm (jurnal teknologi informasi universitas lambung mangkurat)
Language(s) - English
Resource type - Journals
eISSN - 2528-2514
pISSN - 2527-5399
DOI - 10.20527/jtiulm.v2i1.16
Subject(s) - pest analysis , id3 , horticulture , biology , botany , decision tree , computer science , machine learning , decision tree learning
Orchid plants is one component of the aesthetic aspect and become a part of human life. Diagnostics system for classification orchid pests were attack plants still using the manual model, it’s result difficulty identifying pests orchid that has a variety of symptoms are almost the same. As to distinguish the symptoms of damage to the leaves, roots and flowers caused by pests. ID3 able to generate a decision tree of large data sets. This decision tree can be used as a reference for the diagnosis of pests on orchids. In this research, pest classification of orchids do with ID3 method with the highest level of performance accuracy is 78.06%.