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All Journal Bakti Cendana: Jurnal Pengabdian Masyarakat Journal of Engineering Technology and Science Integration (JETSI)
Jevantree Bate'e
Universitas Wirahusada Medan
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Education Environmental Science Nursing Social Sciences

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Cloud-Based Digitalization of Village Administrative Services to Support Transparent Village Governance Dybio Dompu Hot Asih; Erbin Sitorus; Alex Permatanta Karo-Karo; Jevantree Bate'e
Bakti Cendana Vol 9 No 2 (2026): Bakti Cendana: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/bc.v9i2.11318

Abstract

Namorambe Village continues to face several challenges in delivering administrative services, including manual record management, fragmented document archiving, and limited public access to administrative information. These issues reduce service efficiency and hinder transparent village governance. This community service program aimed to enhance the capacity of village officials to implement cloud-based administrative service digitalization in order to promote transparent, efficient, and accountable village governance. The program was conducted through a series of activities, including preliminary observation, awareness sessions, technical training, hands-on practice using cloud-based applications, implementation assistance, and monitoring and evaluation through pre-tests, post-tests, observations, and participant satisfaction questionnaires. The partner of this program was the Namorambe Village Government, involving 30 participants consisting of village officials, administrative staff, and public service operators. The results demonstrated a significant improvement in participants' knowledge of digital administrative management, practical skills in utilizing cloud storage technologies, and the quality of document management and public information services. Furthermore, participants reported high satisfaction with both the training materials and mentoring activities. Overall, this program successfully strengthened digital governance practices and contributed to improving transparency, efficiency, and accountability in village public services while supporting the realization of sustainable digital village transformation.
The Adoption of Generative AI in Academic Information Systems: Impacts on User Satisfaction and Learning Efficiency Dybio Dompu Hot Asih; Erbin Sitorus; Jasael Simanullang; Jevantree Bate'e
Journal of Engineering Technology and Science Integration (JETSI) Vol. 1 No. 1 (2026): Journal of Engineering Technology and Science Integration
Publisher : PT. Nordeo Scholar Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68627/jetsi.v1i1.7

Abstract

The rapid advancement of Generative Artificial Intelligence (Generative AI) has significantly transformed academic information systems by enhancing learning processes, academic services, and user interaction. This study aims to analyze the adoption of Generative AI in academic information systems and examine its impacts on user satisfaction and learning efficiency in higher education environments. The research employs a quantitative approach using survey data collected from university students and academic users who actively utilize AI-based academic platforms. Structural Equation Modeling (SEM) is used to evaluate the relationships between Generative AI adoption, system usability, user satisfaction, and learning efficiency. The findings indicate that the adoption of Generative AI positively influences user satisfaction through improved accessibility, personalization, and responsiveness of academic information systems. Furthermore, Generative AI significantly enhances learning efficiency by supporting faster information retrieval, adaptive learning experiences, and academic task automation. The study contributes to the growing literature on artificial intelligence adoption in educational information systems and provides practical implications for universities seeking to implement AI-driven digital transformation strategies. The results also highlight the importance of system quality, trust, and user readiness in maximizing the effectiveness of Generative AI technologies in higher education.
Co-Authors Alex Permatanta Karo-Karo Asih, Dybio Dompu Hot Dybio Dompu Hot Asih erbin sitorus Jasael Simanullang