ICONESTH
2024: The 2nd ICONESTH

PERFORMANCE EVALUATION OF ISLAMIC ARTIFICIAL INTELLIGENCE IN THE MUSLIM PRO APPLICATION: A SYSTEMATIC REVIEW

Iqbal, Muhammad (Unknown)
Ali, Muhammad (Unknown)
Riansyah, Fahmi Al (Unknown)



Article Info

Publish Date
06 Jan 2025

Abstract

This research aims to examine the performance of Islamic AI in the Muslim Pro Application in providing accurate answers related to Islamic teachings. This literature study analyzes various previous studies that evaluated the ability of the Muslim Pro Application to deliver correct and reliable information to users. The main focus of this research is to assess the accuracy of answers provided by the Islamic AI of the Muslim Pro Application and compare them with traditional sources of religious knowledge, such as Islamic scholars and texts. Findings indicate that the Islamic AI of the Muslim Pro application is capable of providing sufficiently accurate answers to basic questions about Islam. However, there are shortcomings in handling more complex questions, which require further verification from more authoritative sources. The study also found that most users are satisfied with the accuracy of the answers provided, but there is a need for further improvement, especially in terms of the depth and detail of the answers. This research recommends further development of AI algorithms and collaboration with Islamic scholars to improve the quality of answers provided by the Islamic AI of the Muslim Pro Application.

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Journal Info

Abbrev

iconesth

Publisher

Subject

Arts Humanities Computer Science & IT Dentistry Mathematics Neuroscience Nursing Public Health Social Sciences Other

Description

The International Conference on Education, Science, Technology and Health (ICONESTH), is a scientific platform that collects academic papers published in an academic seminar. Where the outer targets are distributed journals. This proceeding contains the contributions made by the researchers in the ...