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Contact Name
M. Miftach Fakhri
Contact Email
fakhri.abcollab@gmail.com
Phone
+6285656227888
Journal Mail Official
voice.abcollab@gmail.com
Editorial Address
Jalan Cempaka Mekar Raya No. 10 Bandung, Jawa Barat, Indonesia
Location
Kota bandung,
Jawa barat
INDONESIA
Journal of Vocational, Informatics and Computer Education
ISSN : 29884918     EISSN : 29886325     DOI : https://doi.org/10.66053/voice
Core Subject : Science, Education,
1. Informatics and Computing Research addressing the design, development, implementation, and evaluation of computing technologies relevant to educational, professional, and digital learning environments, including but not limited to: Artificial Intelligence and Machine Learning Deep Learning and Neural Networks Data Science, Big Data, and Data Analytics Software Engineering and Software Development Computer Networks and Internet Technologies Cloud Computing and Distributed Computing Systems Internet of Things (IoT) and Smart Systems Human–Computer Interaction (HCI) and User Experience (UX) Intelligent Systems and Decision Support Systems Natural Language Processing and Computational Applications Cybersecurity and Information Security Emerging Computing Technologies and Digital Systems 2. Information Technology in Education Studies focusing on the design, integration, implementation, and evaluation of digital technologies in teaching and learning environments, including: Computer Science Education and Programming Education Artificial Intelligence in Education (AIED) Educational Data Mining and Learning Analytics Intelligent Tutoring Systems and Adaptive Learning Systems Digital Learning Environments and Online Learning Systems Learning Management Systems (LMS) and E-learning Platforms Immersive Learning Technologies (Virtual Reality, Augmented Reality, Extended Reality) Mobile Learning and Ubiquitous Learning Environments Technology-Enhanced Learning (TEL) and Digital Pedagogy Educational Software and Learning System Development Digital Assessment and Technology-Based Evaluation Systems Computational Thinking, AI Literacy, and Digital Literacy in Education 3. Vocational Technology Education Research examining the integration of computing technologies and digital innovation in vocational, technical, and professional education, including: Curriculum Development in Informatics and Computing Education Competency-Based Training and Digital Skill Development Teaching Factory and Industry 4.0 Learning Environments Smart Learning Environments for Technical and Vocational Education Work-Process Knowledge and Workplace Learning Work-Based Learning and Apprenticeship Systems Industry–Education Collaboration in Computing and Technology Fields Workforce Preparation for Digital and Technology-Driven Industries Digital Literacy and Cybersecurity Education in Vocational Contexts Professional Skills Development for the Digital Economy 4. Innovative Digital Learning and Educational Innovation Research exploring innovative pedagogical approaches, emerging technologies, and new learning ecosystems in digital and technology-enhanced education, including: Innovative Digital Pedagogy and Instructional Design Gamification and Game-Based Learning in Computing and Technology Education Project-Based Learning and Problem-Based Learning Supported by Technology Learning Innovation Using Artificial Intelligence and Intelligent Systems Automation and Smart Learning Technologies in Education Digital Transformation in Education and Training Institutions Emerging Educational Technologies and Future Learning Environments Smart Education Ecosystems and Data-Driven Learning Systems Educational Innovation for Developing Digital Competencies and Future Skills
Articles 43 Documents
Structural Asymmetry and Collaboration Gap: A Qualitative Case Study Approach to Pentahelix E-Government Implementation in Indonesian Local Government Akbar Muhammad Nur; Alyani Muh. Khair Nurmahdy; Nusri Andi Zulkifli; Nursakti; Iqbal, Muhammad
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.427

Abstract

Purpose - This study aims to empirically investigate how Pentahelix collaboration is structured and operationalized in the implementation of E-Government in Soppeng Regency, Indonesia, identify the enabling factors and barriers within the collaborative ecosystem, and evaluate its perceived impacts on local governance and public service delivery. Methods - This study employs a qualitative research design with a single-case study approach. Data were collected from February to April 2025 using three complementary methods: semi-structured in-depth interviews with 25 key informants representing all five Pentahelix stakeholder groups, non-participant observation of coordination meetings and public service points, and document analysis of E-Government roadmaps, policy regulations, and annual reports. Findings -The findings reveal that while the Pentahelix framework contributes to strengthening digital infrastructure and human resource capacity, collaboration remains structurally asymmetric and informal. Academia contributes research and training reactively, the Business sector engages transactionally as vendors, Media serves primarily as a one-way information broadcaster, and the Community participates passively as end-users rather than co-design partners. Persistent challenges include unequal internet access, variable public participation, and a pervasive "collaboration gap" a disconnect between multi-stakeholder inputs and their integration into a coherent transformative strategy. Research Implications – This study demonstrates that the effectiveness of Pentahelix collaboration in E-Government depends on the quality of interaction and integration mechanisms among stakeholders, not merely their formal inclusion, thereby shifting the research focus toward examining collaboration depth, coordination structures, and feedback systems. Originality – This study introduces the novel concept of the “collaboration gap,” providing empirical evidence of the disconnect between multi-stakeholder presence and functional integration while bridging collaborative governance and technology adoption theories in a single analytical framework.
IT Service Quality as A Moderator Between Digital Attendance Application Usage and Employee Performance: Evidence from Indonesian Local Government Nur Aziiza Syam; Asriani; Andi Zulkifli Nusri; Andi Adawiah; Iqbal, Muhammad
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.428

Abstract

Purpose - This study aims to analyze the direct influence of digital attendance application (APATOKI) usage and IT service quality on employee performance, as well as to investigate the moderating role of IT service quality in the relationship between application usage and performance within a local government setting. Methods - A quantitative approach with a multivariate regression design was employed. Data were collected from 400 State Civil Apparatus (ASN) personnel in Soppeng Regency, South Sulawesi, who actively used the APATOKI application, selected through purposive sampling based on specific criteria. The instrument utilized a 5-point Likert scale to measure three variables: APATOKI usage, IT service quality, and employee performance. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. Findings -The results demonstrate that both APATOKI usage (β = 0.254, p < 0.05) and IT service quality (β = 0.249, p < 0.05) have a significant positive direct effect on employee performance. More importantly, IT service quality was found to significantly moderate the relationship between APATOKI usage and performance (β = 0.187, p < 0.05). The model explained 69.9% of the variance in employee performance (R² = 0.699). Implications – This study shows that digital performance gains in public sector systems are contingent on the interaction between technology usage and IT service quality, shifting the focus from isolated technology adoption toward integrated system–service ecosystems as drivers of employee performance. Originality – This study provides a novel contribution by empirically demonstrating the moderating role of IT service quality in strengthening the impact of digital application usage on performance, integrating TAM, IS Success Model, and SERVQUAL into a single tested framework within a local government context.
Balancing Benefits and Risks of ChatGPT: Role of AI Ethics, Usage Habits, and Memory Loss in Learning Motivation and Performance Daud Mahande, Ridwan; Rosidah
Journal of Vocational, Informatics and Computer Education Vol 3, No 2 (2025): December 2025
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v3i2.445

Abstract

This study investigates how AI ethics, ChatGPT usage habits, and memory loss influence learning motivation and learning performance in higher education. The research addresses growing concerns about cognitive and ethical implications of AI tool usage among students, especially in relation to motivation decline and learning outcomes. Although previous studies highlight the benefits of AI tools in enhancing learning, few have explored the negative cognitive and ethical consequences of overuse. This paper fills the gap by examining how learning motivation mediates the relationship between AI-related factors and learning performance through the lens of Self-Determination Theory (SDT). A quantitative, cross-sectional design was employed using purposive sampling. A total of 539 university students who have experience using ChatGPT in academic contexts participated by completing an online questionnaire. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). This study contributes to the literature by integrating AI ethics, usage patterns, and cognitive outcomes into a unified model of academic motivation and performance. It extends Self-Determination Theory into AI-assisted learning environments and emphasizes learning motivation as a psychological bridge linking ethical and cognitive concerns to learning success. AI ethics, ChatGPT usage habits, and memory loss each have a significant im-pact on both learning motivation and learning performance. Learning motiva-tion serves as a mediating variable in the relationship between all three predic-tors and academic outcomes. Among the predictors, ChatGPT usage habits emerged as the strongest positive influence, whereas memory loss exhibited the most pronounced negative effect. Ethical concerns demonstrated a modest yet statistically significant positive effect, particularly when internalized as responsi-ble academic conduct. Future research should explore longitudinal effects of AI tool use on motivation and cognition, test other theoretical frameworks such as TAM or Cognitive Load Theory, and examine new variables like AI literacy, digital well-being, and academic resilience.