@inproceedings{1fca84ff1a47411c9b94975a0c4a95ff,
title = "Vector machine OVA-RFE approach for finding the significant plants of jamu",
abstract = "Jamu medicines are popular traditional medicines from Indonesia. Jamu made from a mixture of several plants. Jamu formula are based on empirical data and personal experiences, so it needs to systemize the formulation of Jamu and develop basic scientific principles of Jamu for Indonesian Healthcare System. The purpose of this research is to find the Jamu plants that have the most significant effect on the diseases. We proposed a feature selection approach using SVM OVA-RFE. We also added the previous Jamu feature selection research using K-Means and PLS-DA for comparison. The SVM OVA-RFE method successfully reduced the data dimension into 3085 of Jamu samples and 238 species of plants. The result from SVM classification using OVA-RFE outperform the previous researches.",
keywords = "Feature selection, Jamu, Machine learning, Recursive feature elimination, SVM OVA-RFE.",
author = "Aries Fitriawan and Ito Wasito and Kusuma, {Wisnu Ananta} and Rudi Heryanto",
year = "2016",
language = "English",
series = "2016 6th International Workshop on Computer Science and Engineering, WCSE 2016",
publisher = "International Workshop on Computer Science and Engineering (WCSE)",
pages = "650--654",
booktitle = "2016 6th International Workshop on Computer Science and Engineering, WCSE 2016",
note = "2016 6th International Workshop on Computer Science and Engineering, WCSE 2016 ; Conference date: 17-06-2016 Through 19-06-2016",
}