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All Journal At-Taqaddum Jurnal Penelitian dan Pendidikan Agama Islam
Ibnu Fikri, Ibnu
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Religion Education Public Health Social Sciences Other

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IMPLEMENTASI TEORI KOMUNIKASI DALAM DAKWAH Fikri, Ibnu
At-Taqaddum Volume 3, Nomor 1, Juli 2011
Publisher : Quality Assurance Institute (LPM) State Islamic University Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1596.501 KB) | DOI: 10.21580/at.v3i1.302

Abstract

If dakwah means ?preaching? then the dakwah has entered the area of Communication Studies. In Communication Sciences, a communicator is required to understand: 1) what message will be delivered, 2) how the message was delivered & 3) who will receive the message. There are many theories in science communication in order to a message can be achieved effectively. These theories are very important to use by scholars and practitioners of dakwah. For its implementation, dakwah requires the knowledge and theories in order the effectiveness and the success reached a maximum in the da?wah. In providing the material of religious to the object da?wah must be adapted to the conditions, circumstances and realities of mad?u upper middle class simply overwhelmed by the recitation (monologue) with no dialogue. Or conversely people with a pathetic condition be consulted regardless of the needs of the mad?u.
Pengaruh Kecerdasan Buatan Terhadap Minat Belajar Mahasiswa UIN Imam Bonjol Padang Fransiska, Resita Eka; Mislaini; Fikri, Ibnu
At-Tarbiyah: Journal of Islamic Religious Research and Education Vol. 2 No. 2 (2025): At-Tarbiyah: Jurnal Penelitian dan Pendidikan Agama Islam
Publisher : STAI Tebing Tinggi Deli

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Abstract

This study aims to explore the impact of artificial intelligence (AI) implementation on students' learning interest at UIN Imam Bonjol Padang and their perceptions of this technology. Using a qualitative case study approach, data were collected through observation and surveys from 25 students and analyzed thematically. The findings reveal that AI enhances students' understanding of learning materials (52%) and engagement in class discussions (68%). However, its influence on learning motivation remains low (36%), and its effectiveness for complex tasks, such as final projects, is limited. Criticism also highlights the potential dependency on AI, which may reduce students' self-evaluation abilities. The study concludes that while AI effectively supports understanding and participation in learning, further development is needed to boost learning motivation and mitigate the risks of technological dependency.
Co-Authors Fransiska, Resita Eka Mislaini