Use of Artificial Intelligence in Analysis and Prediction of Community Behavior Patterns in Dakwah
DOI:
https://doi.org/10.15575/idajhs.v19i1.37880Keywords:
Artificial intelligence; dakwah patterns; social behavior.Abstract
Artificial intelligence (AI) has made tremendous progress, and it is not surprising that its influence has also penetrated the realm of religion, which has had a significant impact, where AI technology has opened the door to new developments in spreading religious messages or da'wah. This study aims to analyze how AI can be used to analyze and predict patterns of community behavior in da'wah and how the results of the analysis can be used to improve the effectiveness of da'wah. The research method used is qualitative with a library approach. Data were collected from literature studies and documentation and using thematic analysis techniques. The results of this study show that the analysis and prediction model for community behavior, created with machine learning techniques and AI algorithms, can gather and examine data from different online sources like social media, discussion forums, and religious websites to understand how people behave when they receive and respond to da'wah messages. For example, AI-based chatbots can be used to answer questions about fiqh quickly and consistently, helping to reach mad'u who are reluctant to attend physical assemblies. Furthermore, da'wah strategies using AI can be carried out by segmenting the audience, personalizing messages, optimizing time, and using positive and inspiring content. However, AI in the preaching strategy should be used as a medium to help the effectiveness and efficiency of preaching activities, considering the limitations of the use of AI in preaching.
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