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All Journal Indonesian Technology and Education Journal Journal of Vocational, Informatics and Computer Education
Vina Annisa Sofyan
Universitas Negeri Makassar
Computer Science & IT Education

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Self-Efficacy over Trust: Rethinking Sustainable AI Use among University Students Vina Annisa Sofyan; Mustari S. Lamada; Sanatang; Shabrina Syntha Dewi; Muh. Akbar
Journal of Vocational, Informatics and Computer Education Vol 4, No 2 (2026): June 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.402

Abstract

Purpose – Artificial intelligence (AI) is increasingly embedded in higher education, yet sustained use remains insufficiently explained by adoption-centered models that primarily emphasize direct effects.This study examines continuous AI use among university students by integrating perceived enjoyment, effort expectancy, trust in artificial intelligence, and AI self-efficacy within a parallel-mediation framework. Methods – A quantitative cross-sectional design was employed involving 247 undergraduate students who reported varying levels of AI use in academic contexts. Data were collected through an online questionnaire and analyzed using partial least squares structural equation modeling (PLS-SEM) to assess direct and indirect relationships. Findings – Perceived enjoyment (β = 0.386) and effort expectancy (β = 0.363) significantly predicted continuous AI use, with perceived enjoyment showing the stronger direct effect. AI self-efficacy significantly mediated both relationships, particularly the effect of effort expectancy (β = 0.297). By contrast, trust significantly mediated only the perceived enjoyment pathway (β = 0.196), while its mediating role in the effort expectancy pathway was not supported under the conventional significance criterion. Research Implications -The study suggests that higher education institutions should strengthen students’ AI self-efficacy while designing AI-supported learning environments that are both intuitive and engaging. Originality - The study contributes to post-adoption AI research by clarifying the relative mediating roles of self-efficacy and trust, highlighting that AI self-efficacy is a more robust mechanism than trust in sustaining AI use among university students.
Design of Website-Based Bugis Waterpark Adventure Tourism Information System Using Agile Method: BugisGo Vina Annisa Sofyan; Muhammad Iqram; Nur Amalia Ramadhan; Izzaturrahman; Pramudya Asoka Syukur
Indonesian Technology and Education Journal Vol. 3 No. 2 (2025): Agustus
Publisher : Sakura Digital Nusantara

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Abstract

Bugis Waterpark Adventure in Makassar faces challenges in promotional outreach and information accessibility due to the absence of a professionally designed web-based information system. This research aims to design and develop a web-based tourist information system, BugisGo, to improve accessibility and visitor experience. The system was developed using the Agile method, which involves the stages of system planning, requirements analysis, system design, implementation, and iterative testing. BugisGo successfully implemented key features such as online ticket booking, payment system, and visitor feedback. Black-box and white-box testing showed that the system functions properly and securely. The Agile development process allows for flexibility and continuous improvement based on user feedback, increasing visitor satisfaction and operational efficiency. The BugisGo system successfully improved accessibility and visitor experience, but further research is needed for performance testing under high load conditions and mobile application integration.
Co-Authors Izzaturrahman Muh. Akbar Muhammad Iqram Nur Amalia Ramadhan Pramudya Asoka Syukur Sanatang Shabrina Syntha Dewi