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All Journal International Journal of Electrical and Computer Engineering CommIT (Communication & Information Technology) Binus Business Review ComTech: Computer, Mathematics and Engineering Applications Jurnal Pendidikan dan Konseling International Journal of Advanced Science and Computer Applications Advance Sustainable Science, Engineering and Technology (ASSET)
Nilo Legowo
Bina Nusantara University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Other

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An Engineering Perspective on School Digitalization Application Adoption in Indonesia: A Structural Model Using UTAUT2, TTF, and Trust Andrean Wijaya; Nilo Legowo
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i3.2317

Abstract

This study examines the factors that influence the acceptance of digital school applications in Indonesia against the backdrop of the gap between the number of registered users and active users. Data was obtained from 497 respondents and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research model expands UTAUT2 by adding the variables Task-Technology Fit (TTF) and Trust. The results indicate that Trust significantly influences Usage Behavior (β = 0.403; p < 0.001), while Behavioral Intention is influenced by Social Influence (β = 0.135; p = 0.016), Facilitating Conditions (β = 0.287; p < 0.001), and TTF (β = 0.292; p = 0.005). Behavioral Intention further serves as the primary predictor of Use Behavior (β = 0.495; p < 0.001). The R² values of 0.788 for Behavioral Intention and 0.834 for Use Behavior indicate strong explanatory power. These findings emphasize the importance of building trust, infrastructure support, and technological suitability to enhance user engagement, while also providing practical insights for app developers and education policymakers.
Co-Authors Agustinna Yosanny Ahmad Nurul Fajar Andrean Wijaya Arta Moro Sundjaja Aulia Azhar Abdurachman Bagus Prabowo Candy Winarya Dery Remmy Lardo Edi Abdurahman Elidjen Elidjen Ferry Yangga Hioe Jefry I Made Kresna Yoga Muhammad Fahmi Arsyad Muhammad Iman Pinkyvi Tiffany Widajanto Renan Prasta J. Devin Suryaputra Theresa Karyn Wijaya Togar Alam Napitupulu