A New Method of Latin-to-Balinese Script Transliteration based on Noto Sans Balinese Font and Dictionary Data Structure

Abstract

This research aims to provide a new method of Latin-to-Balinese script transliteration based on the Noto Sans Balinese font since so far no research provides its technological state of the art. This multi-disciplines collaboration research produced the first known method utilizing the Noto Sans Balinese font that can be elaborated into: 1) the establishment of the MVC design pattern and its implementation; 2) the identification of 17 types of particular words; 3) the accomodation of those particular words by the dictionary data structure; 4) the establishment of the accuracy measurement for the next new method development; and 5) the accuracy improvement compared to other methods utilizing Bali Simbar font. This method can be utilized as a core of learning application to provide the knowledge of transliteration, as a part of Balinese Language learning program in Indonesia, especially in Bali Province where its Balinese Language was considered as a mandatory subject from elementary to high school. This method used MVC architectural pattern, where Model handles a repository for the particular words, View handles application User Interface, and Controller handles transliteration algorithm based on string pattern matching. Through the experiment, accuracy above 91% (138 of 151 cases) has been achieved by this method on the testing cases of The Balinese Alphabet document. On the same testing cases, that result outperformed the existing method Transliterasi Aksara Bali based on the Bali Simbar font, with its accuracy a little above 68% (103 of 151 cases). In the future work, this method could be enhanced by: 1) accommodating remain and future rules and examples inside and outside the testing document that recently cannot be handled or gave incorrect result; and 2) enriching the particular words repository.