ARTIFICIAL INTELLIGENCE IN HADITH EDUCATION: A SYSTEMATIC LITERATURE REVIEW OF ASTRONOMICAL STUDIES
DOI:
https://doi.org/10.35631/IJEPC.1163030Keywords:
Artificial Intelligence (AI), Astronomical Hadith, Islamic StudiesAbstract
Astronomical hadith, particularly those related to lunar observation and the determination of the Islamic calendar, play an important role in Islamic studies. In recent years, Artificial Intelligence (AI) has emerged as a powerful tool for analyzing complex astronomical data. This study examines the application of AI in the study of astronomical hadith through a Systematic Literature Review (SLR). The objectives are to identify previous studies, analyze the AI models used, and determine existing research gaps. The review was conducted using a systematic approach involving the identification, screening, and analysis of relevant scholarly sources, followed by thematic analysis. The findings reveal a growing use of AI technologies, particularly in studies related to crescent moon visibility and lunar phases. Models such as Machine Learning (ML), Artificial Neural Networks (ANN), and Convolutional Neural Networks (CNN) have been applied to improve analytical accuracy. The thematic analysis identified key themes, including astronomical data analysis, crescent moon prediction, parameter modeling, and lunar image processing. However, most studies focus on technical aspects and lack integration with hadith studies, indicating the need for a more integrated approach.
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