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All Journal International Journal of Artificial Intelligence Research Industrial Engineering Journal (IEJ) Jurnal Sistem Teknik Industri International Journal of Engineering, Science and Information Technology Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Pengabdian Masyarakat Bangsa INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS) International Journal of Language and Ubiquitous Learning Jurnal Malikussaleh Mengabdi Jurnal Solusi Masyarakat Dikara
Irwansyah, Defi
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Journal : Jurnal Sistem Teknik Industri

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Analysis of The Influence of Student Decisions in Using Artificial Intelligence (AI) As a Learning Reference Anggraini, Feby; Meutia, Sri; Irwansyah, Defi
Jurnal Sistem Teknik Industri Vol. 27 No. 3 (2025): JSTI Volume 27 Number 3 July 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i3.21472

Abstract

Education is one of the many facets of human existence that have changed as a result of the advancement of artificial intelligence (AI). The goal of artificial intelligence (AI), a subfield of computer science, is to create computers and systems that can carry out operations that normally call for human intellect. According to data, the number of people using AI is expected to reach 3.33 million annually by 2030. Out of the 100 respondents who received the surveys, 100 said they utilize AI apps. Students in semesters two (19%), four (36%), six (17%), and eight (28%), respectively, make up the distribution of use. 90% of AI is used as a learning reference, compared to 10% for thesis. This study uses the Technology Acceptance Model (TAM) technique as a theoretical framework to ascertain the perceptions that help Industrial Engineering students decide whether to use AI as a learning reference. The analysis's findings indicate that perceived advantages (38.64%), perceived ease of use (40.73%), and actual usage (16.81%) are the perceptions that affect students' decisions in Malikussaleh University's Industrial Engineering department. The development of AI integration tactics in higher education can benefit greatly from these discoveries.
Co-Authors Adi Prawito Almeina Loebis, Iin Amri, Miftachul Andik Bintoro Anggraini, Feby Bakhtiar Bakhtiar Chairil Anwar Chalirafi, Chalirafi Cut Ita Erliana Dahlan Abdullah Deddy Satria M Durrotun, Ronny Ezwarsyah Ezwarsyah Fadlisyah Fadlisyah Fahmi, Asrul Fahrizal, Effan Fahrozi, Mahlil Fuadi, Wahyu Hamsiah, Andi Hariadi Syam Hasibuan, Muammar Faturrahman Heriani, Dian I Ketut Sutapa Johari Johari Julistia, Rini Khairunisyah, Andini Kosasih , Kosasih Kraugusteeliana Kraugusteeliana Mansyur Srisudarso Maryana Maryana, Maryana Mas'ud Muhammadiah mauludi, mauludi Meutia, Sri Muhibuddin Muhibuddin, Muhibuddin Mutammimul Ula N. Nazaruddin ND, Muhammad Authar Prima Ranika, Angela Putu Doddy Heka Ardana Raditya, Rizky Putra Reza Pahlevi Ginting Rizal Bahaswan Rofiq Harun Ronny Durrotun Nasihien, Ronny Durrotun Rudi Setiawan Setiawan, Muhammad Ikhsan Silalahi, Tasya Arsanti Su, Johan Teuku Multazam Ummi Kalsum Veri Ilhadi Wahyu Pertiwi, Yuarini Zahratul Fitri, Zahratul Zainal Abidin Zega, Subhansah Zulfia, Anni