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Meningkatkan Literasi Jaringan Komputer bagi Siswa SMK TKJ: Pelatihan untuk Pemingkatan Pengetahuan dan Minat terhadap Teknologi Informasi: Improving Computer Network Literacy for TKJ Vocational School Students: Training for Knowledge and Interest in Information Technology Improvement Barovih, Guntoro; Ajismanto, Fahmi; Yuniansyah, Yuniansyah
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 10 No. 9 (2025): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v10i9.9770

Abstract

In the modern technological era, mastering computer network literacy is very important, especially for vocational high school (SMK) students majoring in Computer and Network Engineering (TKJ), preparing to face Industry 4.0 and 5.0. To enable students to apply basic network understanding in the workplace, they need theoretical knowledge and practical experience. This training aims to increase students' interest and understanding of computer networks using practice-based training and software simulations such as Packet Tracer and VirtualBox. The methods used include interactive material delivery, hands-on exercises, open discussions, and evaluations using pre-tests, post-tests, and interest questionnaires. The results show a significant improvement: the average pre-test score for computer network literacy, which includes components of basic knowledge, understanding of topology, and network configuration, was 43.2% and increased to 71.93% after the training, with a gain of approximately 28.73%. Besides cognitive aspects, affective aspects such as students' interest and self-confidence were also significantly enhanced. These findings support an applied and practical learning approach, essential to improve network literacy among SMK students, and emphasize the need for collaboration between education and industry to prepare a competent and ready workforce to face future technological challenges.
Structural Equation Modeling Factors That Influence Online Course Acceptance in University Students Yuniansyah, Yuniansyah; Handayani, Febria Sri; Hartati, Eka; Aprizal, Yarza
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.863

Abstract

Online courses are currently growing rapidly, influenced by various factors, especially among college students. This study uses the Technology Acceptance Model, by adding the variable of facilitating conditions. This study aims to determine the effects of perceived ease of use, perceived usefulness, and facilitating conditions on the actual use of online courses, mediated by intention to use. This study is the first conducted on students in university in South Sumatra, Indonesia, who have used or are currently using online courses. The data collection was carried out from June 24, 2024, to August 9, 2024. The research instrument used was a questionnaire based on a 5-point Likert scale. The sampling technique used in this study was purposive sampling, targeting students at universities under the Higher Education Service Institution Region II in Indonesia. A total of 360 students participated as respondents. The questionnaire results were analyzed using Structural Equation Modeling – Partial Least Squares (SEM-PLS). Data analysis was conducted using the SmartPLS software, version 4.1.1.2. The results showed that perceived ease of use had a significant influence on intention to use (path coefficient = 0.281, T-statistic = 6.642, P-value = 0.000), and perceived usefulness also had a positive influence on intention to use (path coefficient = 0.155, T-statistic = 4.545, P-value = 0.000). Facilitating conditions also had a positive influence on intention to use (path coefficient = 0.476, T-statistic = 8.880, P-value = 0.000), and intention to use significantly influenced actual use (path coefficient = 0.452, T-statistic = 10.490, P-value = 0.000). These findings highlight the important role of perceived ease of use, perceived usefulness, and facilitating conditions—mediated by intention to use—in significantly influencing the actual use of online courses among students, particularly at universities under the jurisdiction of the Higher Education Service Institution Region II in Indonesia.