Research Article
Balinese Script Transliteration Prediction Result of Mining Machine Using Decision Tree Method
@INPROCEEDINGS{10.4108/eai.24-10-2018.2280584, author={P.A. Darwata and G. Indrawan and N. Sukajaya}, title={Balinese Script Transliteration Prediction Result of Mining Machine Using Decision Tree Method}, proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus}, publisher={EAI}, proceedings_a={ICCSET}, year={2018}, month={11}, keywords={mining machine transliteration balinese script decision tree}, doi={10.4108/eai.24-10-2018.2280584} }- P.A. Darwata
G. Indrawan
N. Sukajaya
Year: 2018
Balinese Script Transliteration Prediction Result of Mining Machine Using Decision Tree Method
ICCSET
EAI
DOI: 10.4108/eai.24-10-2018.2280584
Abstract
Mining machine is algorithm that is created to be able to automatically mining the transliteration of Balinese script, especially for words that use the character "e". Until now the existing Balinese script transliteration algorithm still distinguishes the character input of e, ie for pepet and for taleng. Based on that, the aim of this research is to develop algorithm of transliteration into mining machine by applying Decision Tree method. This is a research development that builds transliteration algorithm of Latin text into Balinese script called LBtrans. The Decision Tree method is used to determine the parameter weight of each word in the sentence entered into the system. This research begins by making the design of each case Tree and make the test data in the form of sentences that one syllable contains the character "e". The Tree and tested sentences are validated by Balinese script experts. The result of testing machine mining algorithm has 98% accuracy value.