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All Journal Jurnal Sains dan Teknologi Jurnal Edukasi dan Penelitian Informatika (JEPIN) PROSIDING SEMINAR NASIONAL CENDEKIAWAN Sistemasi: Jurnal Sistem Informasi Jurnal Informatika Jurnal Khatulistiwa Informatika Paradigma JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Informatika Kaputama (JIK) Building of Informatics, Technology and Science Jurnal Sistem Informasi (JSI) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Penelitian dan Pengabdian Masyarakat Jotika
Agung Sasongko
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Other

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Journal : Jurnal Informatika

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MENINGKATKAN AKURASI ALIH AKSARA ALFABET - JAWI BAHASA INDONESIA MENGGUNAKAN PENDEKATAN FSA Agung Sasongko
Jurnal Informatika Vol 3, No 2 (2016): Jurnal INFORMATIKA
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1166.801 KB) | DOI: 10.31294/ji.v3i2.885

Abstract

Abstract This paper focused on improve results accuracy Alphabet text transliteration into Arabic text in Indonesian Malay. Alphabet text transliteration into Jawi in this research using reference books by Rosadi rule that takes into account the beheading of syllables for determination its Jawi text. The method used in this study to identify syllables is Fine State Automata (FSA) developed by Basuki, however the syllable identifiers can not distinguish beheading diphthong with the vowel sequence, this of course affects the transliteration accuracy. The method used in this study to improve the accuracy of transliteration that modify FSA for identifier Indonesian syllables that have been made by Basuki then added the ability to recognize patterns diphthong syllables and vowel series. Results obtained modifications that have been done syllable recognition accuracy improvement is 25% from the previous. The level of accuracy of the transliteration is 94.74% if calculated based on the results of beheading the right conditions, but when it counted the results obtained from incorrect beheading, the transliteration accuracy is 90%.  Keywords: jawi, natural language processing, recognition syllables.
Co-Authors Abdul Latif Agustiani, Sarifah Ali Mustopa, Ali Annisa, Riski - Dadang Surjasa, Dadang Ferdy Winanda firmansyah, Yoki Hendri Mahmud Nawawi Indra Prasetya Lady Agustin Fitriana Latifah Latifah Latifah Latifah Lisnawanty Miji Mohammad Kamal Reza Muhammad Sony Maulana Nurmalasari Purwaningtias, Deasy Rabiatul Adwiya, Rabiatul Rada Claudya Verera Rada Claudya Verera Reza Maulana Risdiansyah, Deni Riski Annisa Sari Dewi Siti Khotimatul Wildah Suharyanto Suharyanto Wahyu Nugraha Wanty Eka Jayanti, Wanty Eka