Klasifikasi Formula Jamu Berdasarkan Khasiat Menggunakan Oblique Decision Tree dengan Optimasi Menggunakan Algoritme Genetika

Abstract

Indonesia is rich in biodiversity, consisting of a wide variety of medicinal plants. However, the use of plants as a medicinal or herbal medicine is still limited. It is difficult to find the information of medicinal plants which are generally obtained from a rare book/text document or inherited knowledge from generation to generation. One of the most important information is to determine the efficacy of an herbal formula based on medicinal plants that composing it. This research aims to develop a classification system based on the composition of medicinal efficacy of plants using oblique decision tree optimized by Genetic Algorithm. The result of decision tree determine plant identifier for each efficacy. The proposed method with data set of 231 plants is able to obtain 94.47% accuracy