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M. Miftach Fakhri
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INDONESIA
Jurnal MediaTIK
Published by Universitas Negeri Makassar
ISSN : 26561247     EISSN : 27155919     DOI : https://doi.org/10.59562/mediatik
Core Subject : Science, Education, Social,
Computer Science & IT Education Social Sciences Other
Jurnal MediaTIK is published by the Informatics and Computer Engineering Education Study Programme of Makassar State University in collaboration with Phinisi Skyline Indonesia. The Media TIK journal is published periodically three times a year, containing articles on research results and / or critical studies in the field of Informatics and Computer Engineering Education from students, lecturers, and practitioners from universities or research institutions. Jurnal MediaTIK already has a print version ISSN with the number 2656-1247 in 2019 and an online version ISSN with the number 2715-5919. MediaTIK Journal contains articles on informatics and computer engineering education in particular: Instructional Technology and Vocational Multimedia Learning, E-learning or blended learning, Information System, artificial intelligence dan robotics, embedded expert system, big data dan machine learning, software dan network engineering
Arjuna Subject : Umum - Umum
Articles 305 Documents
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Evaluation of the Influence of Technology Adoption Model Factors on the Successful Implementation of Artificial Intelligence Applications in Online Learning Akis, Dwi Ihza Sari; Andi Rhyta Samantha Valda; Rizky Aulia; Rosidah; Andi Dio Nurul Awalia
Jurnal MediaTIK Volume 8 Issue 3, September (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research evaluates the successful implementation of artificial intelligence (AI) applications in online learning using the Technology Adoption Model approach. The main issues raised were how AI applications can influence student engagement and motivation to learn, and how challenges such as network stability and trust in data security can be overcome. A quantitative research method with a cross-sectional design involved 93 college students aged 18-22 who had experience using AI applications. Data were collected through a Likert scale questionnaire, covering aspects of convenience, ease of use, impact, trust, technical support, motivation, challenges, and influence on learning outcomes. The results showed that the AI application had a positive impact in increasing students' learning engagement and motivation. Respondents generally feel comfortable using this application and rate the technology as easy to use. However, challenges such as adaptation constraints, network stability, and doubts about data security are still obstacles. In conclusion, although the implementation of AI applications in online learning has shown positive results, improvements are needed on technical and privacy aspects to maximize the acceptance and effectiveness of this technology. This research makes an important contribution to the development of better AI implementation strategies in online education.
Students’ Perspectives on the Role of Artificial Intelligence in Learning and Readiness for the Workforce Ma’ruf , Muhammad; Ricky Saputra; Irwansyah Suwahyu; Putri Maharani, Geby
Jurnal MediaTIK Volume 8 Issue 3, September (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A concise and the rapid advancement of digitalization and industrial technology has created a high demand for expertise in the field of artificial intelligence (AI). This study aims to explore students’ perceptions of the role of AI in the learning process and their readiness to enter a workforce increasingly driven by technology. Using a quantitative survey of 85 students in Makassar, the findings reveal that although awareness of AI’s benefits is relatively high, practical experience in its application remains limited. Students generally believe that AI can enhance learning efficiency, support data analysis, and better prepare them for future careers. These results highlight the importance of integrating AI into higher education curricula to equip students with analytical, programming, and problem-solving skills that align with the demands of the global labor market.
Smartboards And School Culture Transformation: A Case Study Of The Use Of Digital Media In Pancasila Education Learning Muntazarah, Fediyatun
Jurnal MediaTIK Volume 8 Issue 3, September (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v8i3.10220

Abstract

This study explores how the use of smartboards as digital media in Pancasila Education learning can trigger a transformation of school culture in public and private high schools in Makassar City. Using a descriptive qualitative case study approach, the study was conducted in one of the schools that has received smartboard assistance from the government, namely SMPIT Anugrah Hidayah and integrated it into Pancasila Education learning. Data were collected through observation, interviews with teachers and students, and school documentation. The results show that the use of smartboards not only increases student interaction and participation, but also creates a more active, collaborative, and nationally valued learning culture. Supporting factors include infrastructure readiness and teacher competency, while the main obstacles are the still dominant old culture and the lack of ongoing training. Recommendations for this study include strategies for strengthening teacher competency, updating school policies, and monitoring the integration of learning technology
Development of Interactive E-Module Based on Canva as a Digital Learning Media in the Construction of Dressmaking Syarifah Suryana; St. Aisyah; Rosmiaty; Israwati Hamsar
Jurnal MediaTIK Volume 8 Issue 3, September (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v8i3.10245

Abstract

Effective instruction in dressmaking requires digital learning media capable of presenting procedural information with clarity, precision, and interactivity. This study aims to develop and evaluate an interactive Canva-based e-module for the Dressmaking course in vocational higher education. A Research and Development (R&D) design employing the 4D model (Define, Design, Develop, Disseminate) was implemented with 40 undergraduate students. Product validity was assessed by material and media experts, while practicality and effectiveness were examined through student response questionnaires and pre–post learning achievement tests. Data were analyzed using descriptive statistics, N-Gain, paired sample t-test, and effect size. The results indicate a validity score of 91.25%, a practicality score of 90.0%, and an improvement in learning outcomes with an N-Gain of 0.68, along with a significant difference between pre- and post-test scores (t = 8.24; p < 0.001) and a large effect size (Cohen’s d = 1.30). These findings demonstrate that the Canva-based e-module effectively enhances students’ conceptual and procedural mastery in dressmaking. The study underscores the module’s potential for integration into multimedia-based vocational instruction and hybrid or LMS-supported learning environments.
The Role of Artificial Intelligence in Improving Students' Self-Regulated Learning through Adaptive Feedback in Facing Socioeconomic Inequality Nurjannah, Elma; Andi Dio Nurul Awalia; Agusnaya, Nurrahmah; Fakhri, M. Miftach
Jurnal MediaTIK Volume 8 Issue 3, September (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v8i3.10808

Abstract

The transformation of higher education through artificial intelligence is increasingly relevant in addressing the challenges of access, quality, and diversity of student learning needs. Although this technology promises a more adaptive and personalized learning experience, its use is still influenced by socioeconomic inequalities that create gaps in access to and perceptions of technology. This study aims to analyze how artificial intelligence, through cognitive and affective feedback, can improve students' independent learning abilities, with motivation as an intermediary variable and socioeconomic status as an external factor that influences the effectiveness of technology utilization. This study uses a quantitative approach with a cross-sectional design. The instrument, in the form of a structured questionnaire with a Likert scale, was distributed to 450 students from various universities in Indonesia. The questionnaire was compiled based on theoretical indicators from five main constructs and validated through convergent validity and construct reliability tests using outer loading and average variance extracted. The data were analyzed using partial least squares structural equation modeling to test direct and indirect causal relationships, as well as the mediating role between variables. The main results show that artificial intelligence supports students in understanding material in a structured manner and increases emotional engagement, which ultimately strengthens self-regulation and meaning-making in the learning process. Motivation was found to be a significant link between technology and learning outcomes, while socioeconomic background significantly influenced the intensity of technology use. This study concludes that artificial intelligence can be an effective and inclusive learning innovation if it is developed with consideration of cognitive, affective, motivational, and social inequality aspects in education.

Page 31 of 31 | Total Record : 305

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