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All Journal Khazanah Journal of Religion and Technology
Haikal Azhar
Department of Informatics, UIN Sunan Gunung Djati Bandung
Religion Computer Science & IT Engineering Languange, Linguistic, Communication & Media Social Sciences

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A A Determining the Law of Reading Tajweed (Idgham Qomariyah and Syamsiyah) in the Qur'an Using the Naïve Bayes Algorithm: paper Haikal Azhar; Ibham Bathsyi Hizbullah
Khazanah Journal of Religion and Technology Vol. 1 No. 2 (2023): December
Publisher : Asosiasi Khazanah Cendekia

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Abstract

Learning tajweed to recite the Qur’an is important. Because if there is a mispronunciation, the meaning will be different. This research aims to detect two of the many tajweed, namely idghom qomariyah and syamsiyah using machine learning technology with a classification approach. This research uses the Naive Bayes algorithm to classify idghom qomariyah and syamsiyah in Al-Quran text documents. Based on experimental results using 82,173 text data, Naive Bayes was able to classify idgham qomariyah and syamsiyah with an accuracy rate of 96,80%.
Co-Authors Ibham Bathsyi Hizbullah