Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal FORUM STATISTIKA DAN KOMPUTASI
Hiroki Takahashi
Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan
Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
MODELLING INGREDIENT OF JAMU TO PREDICT ITS EFFICACY Farit Mochamad Afendi; Sulistiyani .; Aki Hirai; Md. Altaf-Ul-Amin .; Hiroki Takahashi; Kensuke Nakamura; Shigehiko Kanaya
FORUM STATISTIKA DAN KOMPUTASI Vol. 15 No. 2 (2010)
Publisher : FORUM STATISTIKA DAN KOMPUTASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (555.672 KB)

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
Co-Authors Aki Hirai Farit Mochamad Afendi Kensuke Nakamura Md. Altaf-Ul-Amin . Shigehiko Kanaya Sulistiyani .