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Journal : joiv international journal on informatics visualization

Levenshtein Distance Algorithm in Javanese Character Translation Machine Based on Optical Character Recognition Pradana, Musthofa Galih; Seta, Henki Bayu; Irzavika, Nindy; Saputro, Pujo Hari; Rusiyono, Ruwet
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3151

Abstract

Indonesia has diverse art, cultures, and languages. Linguistically, Indonesia has many local languages, which makes it a diverse country, with Javanese being the regional language with the highest number of entries in the Kamus Besar Bahasa Indonesia. The Javanese script, one of the cultural symbols of Java, differs significantly from the Latin script commonly used in daily communication. In the context of cultural preservation, which is also one of the ministry's strategic steps, a translation or transfer process is needed from the Javanese script to the Latin script to the Indonesian language as an active participation in culture, with technology helping promote and introduce Indonesian culture. This study develops an algorithm-based approach to capture data images and improve translation accuracy. Transliteration is further enhanced by incorporating optical character recognition to convert character images. The study also applies a convolutional neural network (CNN) algorithm for character image recognition and a Levenshtein distance algorithm to translate Latin characters into Indonesian. The convolutional neural network (CNN) algorithm achieved an optimal % image detection accuracy of 95% at the 21st epoch. The translation process yielded a 90% word-level translation accuracy and 70% sentence-level accuracy. These results indicate that sentence translation remains suboptimal due to a lack of sufficient training data and similarities between scripts, highlighting the need for further improvements through transformer models or data augmentation.
Co-Authors A'yun, Riza Shinta Qurrota Aditiarno Manik Afny Rewur Ahmad Sulaiman Ahmad Sulaiman, Ahmad Airlangga, Gregorius Alamsyah - Allo, Yusi Meilany Kendek Amsy, M.R Mutawakkil Anas, Syukron Anisa Lia Viantina Arbiati Faizah Arbiati Faizah Arbiati Faizah Ardhyansyah Mualo Asep Rahman Audia Endondaya Kalambia Augusta Jannatul Firdaus Batubara, Saimarrasoki Bondan Wahyu Pamekas Dhina Puspasari Wijaya, Dhina Puspasari Djoko Budiyanto, Djoko Dyah Listianing Tyas, Dyah Listianing Dyah ListianingTyas Fajar Salinding Buntu Payuk Fatonah, Umti Fithratul Zalmi, Wahyuni Fransisca Joanet Pontoh Geraldy Kevin Gutama, Deden Hardan Henki Bayu Seta Herlino Nanang Izzatul Umami Jonathan Sitanggang Juan Natanel Makasunggal Julius Bata Kevin Leatemia Lazulfa, Indana Lintang Patria Lisa Wardiyana Luqmanul Hakim M Fadhel Nurmidin M.R Mutawakkil Amsy Makin, See Jong Michael Aristian Musthofa Galih Pradana Narulita Wulandari Nindy Irzavika Nita Silvianah Norris Elden Salassa Nugroho, Oskar Ika Adi Nur Arifin Nur Rachman Dzakiyullah Nurcahyo, Azriel Christian Olivia Maria Tumurang, Olivia Maria Paendong, Indah Prisilia Pontoh, Fransisca Joanet Reinhard Komansilan Rendy Syahputra Reza Augusta J.F Riza Shinta Qurrota A'yun Rizal Sengkey Rizal Sengkey Rouzi, Kana Safrina Roy, Andi Rumui, Nelson Rusiyono, Ruwet Saimarrasoki Batubara Sari, Susi Nopita Silvianah, Nita Siti Zubaidah Sitompul, Bernard Jumadi Dehotman Sri Seprianto Maddusa Sugianto, Lai Ferry Susi Nopita Sari Syaiful Imron Tumurang, Olivia Maria Tumurang Umti Fatonah Viantina, Anisa Lia Victor Tarigan Wahyuni Fithratul Zalmi Wahyuni Fithratul Zalmi Wardiyana, Lisa Widoyoningrum, Sri Wulandari, Narulita