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All Journal Khazanah Journal of Religion and Technology
Wijayana, Ivan
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Religion Humanities Computer Science & IT Engineering Social Sciences

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Optimizing Qur'an Recitation Monitoring with Random Forest Algorithm Wijayana, Ivan; Ardiansyah, Muhammad
Khazanah Journal of Religion and Technology Vol. 2 No. 1 (2024): June
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kjrt.v2i1.227

Abstract

Every Muslim should improve their worship, including reciting the Al-Qur'an. Reciting the Al-Qur'an is a deep spiritual practice that provides spiritual benefits and blessings daily. To maximize the benefits of reciting Al-Qur'an during this holy month, implementing Machine Learning can make a significant contribution. This research explores the application of Machine Learning using the Random Forest algorithm to improve the practice of reciting the Al-Qur'an. By collecting data through surveys using questionnaires, this research identifies important factors that influence an individual's success in completing reading the Al-Qur'an. The research results show that the Random Forest algorithm can be used to predict the number of individuals who have the potential to complete reciting Al-Qur'an with an accuracy value of 80%.
Co-Authors Muhammad Ardiansyah