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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Pengabdian KOLABORATIF
Mangoki, Willson
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Social Sciences

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IT Governance Design in XY University using Cobit 2019 Framework Mangoki, Willson; Manongga, Danny; Iriani, Ade
Jurnal Sistem Informasi Bisnis Vol 14, No 2 (2024): Volume 14 Nomor 2 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss2pp111-122

Abstract

The management and control of information and technology at the university were required for IT's finest use, but in line with organization goals, they can be realized with the use of IT governance. This research uses a qualitative approach with techniques such as interviews, observation, expert judgment, and literature studies that are relevant to the concept of IT governance with the COBIT framework and its application in various fields. This research presents an IT governance design that is considered suitable to be applied at XY University using COBIT 2019 Framework. 10 design factors and 40 IT processes listed in COBIT 2019 are used as parameters. The results obtained from four processes with scores ranging from 50 to 100 with capability levels 3 and 4, namely APO04-Managed Innovation, APO03-Managed Enterprise Architecture, APO07-Managed Human Resources, and BAI07-Managed IT Change Acceptance and Transitioning, are translated into recommendations for actions that need to be taken in implementing IT governance.
Asesmen Pembelajaran dengan Tools Generative AI untuk Guru pada Pendidikan Vokasi Mangoki, Willson; Krismiyati; Yulia, Hanita
Jurnal Pengabdian KOLABORATIF Vol. 4 No. 1 (2026): January
Publisher : Faculty of Engineering, Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/kolaboratif.v4i1.13070

Abstract

The rapid advancement of generative artificial intelligence (generative AI) has created new opportunities for innovation in assessment practices within vocational education. Nevertheless, a large proportion of vocational high school (SMK) teachers continue to experience difficulties in understanding, contextualizing, and ethically integrating this technology into the design of assessments that are aligned with the demands of 21st-century skills. As a result, the evaluations implemented in classrooms tend to remain conventional and insufficiently representative of authentic workplace conditions in industry. This community engagement program was designed to enhance the competencies of SMK teachers in developing AI-based assessments that are adaptive, contextual, and responsible. The training was conducted using a hybrid approach, encompassing conceptual seminars, interactive discussions, and hands-on practical sessions utilizing MagicSchool as an AI platform for assessment design. A total of 100 teachers participated in the program, consisting of 30 onsite participants and 70 online participants. Evaluation results indicate an increase in the average score from 84.0 to 94.0, demonstrating a significant improvement in teachers’ assessment design competencies. Overall, the program proved effective in strengthening teachers’ technological literacy and pedagogical capacity, while also promoting the ethical and contextually relevant application of AI in industry-oriented vocational learning.
Co-Authors Ade Iriani Danny Manongga Hanita Yulia Krismiyati