Pemenggalan Kata Dasar Bahasa Indonesia menggunakan Syllabification Algorithm

Novi Yusliani, Rezi Apriliansyah, Tiara Windri Apriani

Abstract


Abstract — This paper presents a study of Indonesian syllable structure and an algorithm for identifying syllables in Indonesian words. The algorithm implements a set of syllabification rules based on the Regulation of the Minister of Education and Culture of the Republic of Indonesia Number 50 Year 2015 on General Guidelines for Indonesian Spelling. Experiment on a random sample shows that the syllabification algorithm achieves 100% word accuracy. Random sample contains 300 Indonesian words. Weakness of this algorithm can not handle Indonesian words contain ‘ng’, ‘ny’, ‘kh’, ‘sy’, ‘ks’, and words contain three consecutive consonant letters.
Keywords — text to speech system, speech synthesis, syllabification algorithm, rule-based method
Abstrak - Makalah ini menyajikan studi tentang struktur suku kata bahasa Indonesia dan algoritma untuk mengidentifikasi suku kata dalam kata-kata bahasa Indonesia. Algoritma mengimplementasikan seperangkat aturan pembagian suku kata berdasarkan Peraturan Menteri Pendidikan dan Kebudayaan Republik Indonesia Nomor 50 Tahun 2015 tentang Pedoman Umum Ejaan Bahasa Indonesia. Percobaan pada sampel acak menunjukkan bahwa algoritma pembagian suku kata mencapai akurasi kata 100%. Sampel acak mengandung 300 kata bahasa Indonesia. Kelemahan dari algoritma ini tidak dapat menangani kata-kata bahasa Indonesia berisi 'ng', 'ny', 'kh', 'sy', 'ks', dan kata-kata mengandung tiga huruf konsonan berturut-turut.
Kata kunci - sistem text to speech, speech synthesis, algoritma pembagian suku kata, metode rule-based


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References


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Konferensi Nasional Teknologi Informasi & Aplikasinya
Jurusan Sistem Informasi | Fakultas Ilmu Komputer
Universitas Sriwijaya