Khazanah Journal of Religion and Technology
Vol. 1 No. 2 (2023): December

A A Determining the Law of Reading Tajweed (Idgham Qomariyah and Syamsiyah) in the Qur'an Using the Naïve Bayes Algorithm: paper

Haikal Azhar (Department of Informatics, UIN Sunan Gunung Djati Bandung)
Ibham Bathsyi Hizbullah (Department of Informatics, UIN Sunan Gunung Djati Bandung)

Article Info

Publish Date
25 Dec 2023

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%.

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Journal Info
Khazanah Journal of Religion and Technology
Website

Abbrev

kjrt

Publisher

Asosiasi Khazanah Cendekia

Subject

Religion Computer Science & IT Engineering Languange, Linguistic, Communication & Media Social Sciences

Description

The Khazanah Journal of Religion and Technology is dedicated to advancing the understanding of the complex relationship between religion and technology. The journal aims to serve as a platform for publishing original research that explores the intersection of these two domains, focusing on recent ...