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All Journal Journal of Embedded Systems, Security and Intelligent Systems
Achmad Zulfajri Syaharuddin
Insitut Teknologi dan Bisnis Kalla
Computer Science & IT

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Classification of Bugis and Makassar Lontara Texts with Viterbi Algorithm Andi Hutami Endang; Achmad Zulfajri Syaharuddin
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.623

Abstract

The Bugis and Makassar ethnic groups are among those originating from South Sulawesi, characterized by the use of the Lontara Bugis and Makassar scripts. The data utilized in this research consists of image data as the initial input. Subsequently, preprocessing is conducted where the data is cropped to obtain 168x168 pixel dimensions for each word. The cropped images are then labeled. In this study, labeling involves the conversion of Lontara script into Latin words. The same procedure is applied to each letter. Next, the obtained words are categorized into two classes: Bugis language and Makassar language. The next stage is processing, where the Viterbi algorithm is employed to determine the priority within a sentence used in the training and testing processes. Python programming language is used in this research. The research utilizes image data processed in the aforementioned preprocessing stage. The data transformed from Lontara script into Latin words is used in the Viterbi process. The Viterbi algorithm tests the data from the inputted sentences. Based on the research results, it is concluded that the use of the Viterbi algorithm in classifying Bugis Makassar Lontara texts yields accurate probability results. However, there are some aspects to be considered. The more data utilized, the better the classification results will be.
Co-Authors Andi Hutami Endang, Andi Hutami