Khazanah Journal of Religion and Technology
Vol. 2 No. 1 (2024): June

Optimizing Qur'an Recitation Monitoring with Random Forest Algorithm

Wijayana, Ivan (Unknown)
Ardiansyah, Muhammad (Unknown)



Article Info

Publish Date
20 Jun 2024

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%.

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Journal Info

Abbrev

kjrt

Publisher

Subject

Religion Humanities Computer Science & IT Engineering 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 ...