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All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah JURNAL PENDIDIKAN TAMBUSAI International Journal of Environment, Engineering, and Education International Journal of Environment, Engineering & Education PENGABDI: Jurnal Hasil Pengabdian Masyarakat Seminar Nasional Pengabdian Kepada Masyarakat Journal of Security, Computer, Information, Embedded, Network and Intelligence System Journal of Progressive Information, Security, Computer and Embedded System
Mappeasse, Muhammad Yusuf
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Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Social Sciences Other

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Pengembangan Sistem Informasi Berbasis Android pada SMA Negeri 17 Gowa Surahman, M. Nurmuhajirin; Mappeasse, Muhammad Yusuf; Ashadi, Ninik Rahayu
Progressive Information, Security, Computer, and Embedded System Vol. 3, No. 2 September (2025)
Publisher : Sakura Publisher

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Abstract

This research aims to (1) Knowing the results of testing on the development of school information systems at SMA Negeri 17 Gowa, and (2) assess the effectiveness and practicality of the developed school information system at SMA Negeri 17 Gowa. This type of research is Research & Development (R&D). The development was carried out using the prototype model. The results obtained from the research are a system that can be used by the community and students of SMA 17 Gowa. This system has undergone software testing using ISO 25010, encompassing several aspects such as (1) Functional Suitability, achieving a score of 95.83% (very suitable); (2) Performance Efficiency, based on software testing using performance overlay tools, the average GPU and UI (CPU) usage indicators showed a green line, indicating normal results; (3) Compatibility, where multiple applications running simultaneously showed that both could operate well; (4) Usability, tested with 30 respondents using a random sampling method, achieved a score of 86.58%, categorized as very good; (5) Reliability, in tests covering good operational levels of the system and ease of access; (6) Maintainability, the testing showed that the system is in a very good category; (7) Portability, in this aspect, testing on several types of smartphones with different Android versions ran well without issues; (8) Security, testing yielded a security score of 65/100. The conclusion from these results is that the software has passed system evaluation and is deemed suitable, ready to be handed over to users and put into use.
Artificial Intelligence Over-Reliance Mediates Performance Expectancy, Social Influence, and Inert Thinking in University Students Novianti, Andi Fitri; Mappeasse, Muhammad Yusuf; Fakhri, M. Miftach; Jannah, Devi Miftahul
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 11 No 1 (2026): Tadris: Jurnal Keguruan dan Ilmu Tarbiyah
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/tadris.v11i1.29451

Abstract

The rapid integration of artificial intelligence (AI) in higher education is reshaping students’ learning behaviors and cognitive engagement. Although AI tools enhance academic efficiency, excessive reliance on these technologies may unintentionally foster inert thinking by reducing independent cognitive processing. This study investigates the mediating role of over-reliance on artificial intelligence in the relationship between performance expectancy, social influence, and inert thinking among university students. A quantitative cross-sectional survey was conducted with 342 undergraduate students from multiple universities. Data were collected using a structured questionnaire grounded in technology acceptance theory and cognitive learning perspectives and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that performance expectancy and social influence significantly predict students’ over-reliance on AI, which in turn significantly mediates their relationship with inert thinking tendencies. These findings suggest that while AI-supported learning environments improve task performance, excessive dependence on AI may weaken students’ independent cognitive engagement. This study contributes empirical evidence to the emerging literature on AI-mediated learning by clarifying the cognitive risks associated with AI dependency and highlighting the importance of designing balanced AI-integrated instructional environments that promote responsible use while sustaining critical thinking development.
Co-Authors Abd. Rahman Patta Ahmad, Asmawati Ashadi, Ninik Rahayu Azhari, Jeanilora Bakhrani, Alief Andio Dhana, Maria Sesariana Fitria Fitria Fredinan Yulianda Gani, Hamsu Abdul HL, Haruna Iwan Suhardi Jannah, Devi Miftahul Karim, Sugeng A. Lubis, Sandra M. Miftach Fakhri Maming, Muh. Idhil Muhammad Ilham Nasrun Nasrun Nasrun, Muh Novianti, Andi Fitri Rasyid, A. Ramli Rauf, Bakhrnai A. Rebinta, Meky Rusmiah, Dewi Samnur . Siswahyudianto Surahman, M. Nurmuhajirin Syamsurijal Syamsurijal, Syamsurijal Tangkin Mangesa, Riana Yasdin, Yasdin Zulhajji, Zulhajji