MODELLING INGREDIENT OF JAMU TO PREDICT  ITS EFFICACY

Farit Mochamad Afendi; Sulistiyani .; Aki Hirai; Md. Altaf-Ul-Amin .; Hiroki Takahashi; Kensuke Nakamura; Shigehiko Kanaya

Farit Mochamad Afendi Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan and Department of Statistics, Bogor Agricultural University, Bogor, Indonesia
Sulistiyani . Biopharmaca Research Center, Bogor Agricultural University, Bogor, Indonesia
Aki Hirai Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan
Md. Altaf-Ul-Amin . Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan
Hiroki Takahashi Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan
Kensuke Nakamura Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan
Shigehiko Kanaya Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan

Abstract

Jamu is an Indonesian herbal medicine made from a mixture of several plants. Nowadays, many jamu are produced commercially by many industries in Indonesia. Each producer may have their own jamu formula. However, one is certain; the efficacy of jamu is determined by the composition of the plants used. Thus, it is interesting to model the ingredient of jamu which consist of plants and use it to predict efficacy of jamu. In this analysis, Partial Least Squares Discriminant Analysis (PLSDA) is used in modeling jamu ingredients to predict the efficacy. It is obtained that utilizing the prediction of y ij obtained from PLSDA directly rather than use it to calculate probability of jamu i belong to efficacy j and then use the probability to predict efficacy produces lower False Positive Rate (FPR) in predicting efficacy group.

Keywords: Jamu, PLSDA