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All Journal Didaktik : Jurnal Ilmiah PGSD STKIP Subang Journal of Applied Artificial Intelligence in Education
Kiki Awaliyah
Universitas Negeri Makassar
Computer Science & IT Education

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Exploring Factors Influencing MOOCs Usage Behavior and Technology Acceptance in Higher Education: An Analysis Using the UTAUT Model Kiki Awaliyah; Arum Putri Rahayu; Putri Olivia; Muh Ma’ruf Asya Perdana
Journal of Applied Artificial Intelligence in Education Vol 1, No 1 (2025): July 2025
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/jaaie.v1i1.1

Abstract

Indonesian higher education still faces uneven adoption and low completion that may be driven by students’ technology acceptance and available support. This study investigated key determinants of Universitas Negeri Makassar students’ MOOCs acceptance and usage behavior using the Unified Theory of Acceptance and Use of Technology (UTAUT). A descriptive quantitative, cross-sectional survey was administered via Google Forms to 33 undergraduate students. The instrument comprised 34 Likert-scale items (1–5) measuring eight UTAUT-related dimensions: performance expectancy, effort expectancy, social influence, facilitating conditions, computer self-efficacy, attitude toward technology, behavioral intention, and actual use; data were analyzed using descriptive statistics. Overall perceptions were fairly positive, with most indicator means in the moderate-to-agree range. Performance expectancy (e.g., perceived usefulness and learning improvement) was moderate (means ≈3.52–3.55) and effort expectancy suggested MOOCs were relatively easy to learn (means ≈3.48–3.51). Social influence was weaker (means ≈3.24–3.30), while facilitating conditions were strongest, including system compatibility (mean ≈3.58). Behavioral intention was moderate (e.g., plan to use MOOCs; mean ≈3.55), yet actual use was comparatively lower (means ≈3.21–3.33), indicating an intention–use gap. Strengthening institutional support (infrastructure, guidance, integration with campus systems) and targeted interventions to convert intention into sustained participation may improve MOOCs uptake and completion; overall, the findings support UTAUT’s usefulness for diagnosing adoption barriers in Indonesian university contexts.
IMPLEMENTASI SISTEM MONITORING JARINGAN FIBER OPTIK MENGGUNAKAN APLIKASI THE DUDE PADA INFRASTRUKTUR DISKOMINFO KABUPATEN ENREKANG Kiki Awaliyah; Abdul Muis; Hendra Jaya
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 12 No. 04 (2026): Volume 12 No. 4, Desember 2026 Public
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v12i04.19329

Abstract

This study aimed to analyze the implementation of The Dude application as a monitoring system for network devices and connectivity on a fiber optic infrastructure at the Department of Communication, Informatics, and Statistics (Diskominfo) of Enrekang Regency, to identify its capability in detecting network faults and displaying device status in real time, and to evaluate its effectiveness in supporting network monitoring and management. This study employed a descriptive qualitative approach using observation, interviews, and documentation as data collection techniques. The research participants consisted of network administrators and technical staff directly involved in operating The Dude application. The collected data were analyzed through data reduction, data presentation, and conclusion drawing. The results showed that The Dude was successfully implemented as a monitoring system for network devices and connectivity on the fiber optic infrastructure, covering 32 interconnected network devices. The application was able to display network topology, connectivity status, monitoring services, and device information in a centralized interface. Observation results indicated that 23 devices were in the up condition, 3 devices were partially down, and 6 devices were down. In addition, The Dude detected network faults in real time through green, red, and green-red status indicators and stored fault history using the Outages feature. Interview results showed that network administrators were able to identify network faults immediately, while the response time for handling faults after detection was approximately 30 minutes, depending on field conditions and operational procedures. Based on these findings, it can be concluded that the implementation of The Dude effectively supports the monitoring and management of network devices and connectivity on the fiber optic infrastructure at Diskominfo Enrekang Regency by providing real-time network information, clear network topology visualization, and facilitating faster identification and handling of network faults.
Co-Authors Abd Muis Arum Putri Rahayu Hendra Jaya Muh Ma’ruf Asya Perdana Putri Olivia