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Journal of Vocational, Informatics and Computer Education
Published by PT. Academic Bright Collaboration
ISSN : 29884918     EISSN : 29886325     DOI : https://doi.org/10.66053/voice
Core Subject : Science, Education,
Computer Science & IT 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
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 63 Documents
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Integrating IoT-UAV Sensing with Sentinel-2 NDVI-NDBI Indices for Urban Air Quality Monitoring in Makassar Samad, Putri; Dewiani; Omar, Hamdan
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.v4i1.477

Abstract

Purpose - Urban air pollution in rapidly developing cities like Makassar requires high-resolution monitoring through IoT-UAV sensing and Remote Sensing to capture localized dynamics effectively. This study proposes and evaluates a multi-scale framework that integrates real-time mobile aerial sensing with Sentinel-2 satellite imagery and NDVI-NDBI indices to analyze how urban morphology modulates air pollutant distribution within the urban canopy layer. Methods - Air quality metrics (CO₂, PM2.5, and VOCs) were monitored at five urban sites in Makassar at three time intervals (08:00, 12:00, 16:00). Data were collected using vertical profiling from 1–20 m with 30-second sampling at each meter, generating over 5,000 data points. NDVI and NDBI were derived from Sentinel-2 L2A imagery (September 2024) using QGIS 3.34, and spatially validated by overlaying UAV coordinates to assess the influence of infrastructure density. Findings - The results identify the KIMA industrial estate and Jl. A.P. Pettarani highway as primary pollutant hotspots (ANOVA, p<0.001). These zones correlate strongly with high urban density (NDBI > 0.24) and minimal green canopy (NDVI < 0.13), confirming that dense infrastructure and the lack of vegetative carbon sinks drive localized pollutant accumulation. Vertical profiles demonstrate a negative concentration gradient, identifying atmospheric stability as a critical factor in surface-level pollutant stagnation. Research Implication - This multi-scale approach provides urban planners with a robust diagnostic tool for prioritizing green infrastructure. However, this study is limited by its single-city scope and a specific temporal window in September 2024. Future research should incorporate seasonal variations across monsoon cycles to evaluate long-term dispersion and washout patterns. Originality – This study contributes a novel synthesis bridging mobile aerial sensing with macro-level satellite indices, revealing a direct spatial correlation between urban structural density and pollutant stagnation that independent ground sensors or macro-satellites cannot detect independently
LAMACCA: Learning Analytics–Driven Adaptive Modular LMS Architecture for Collaborative Cyber Classrooms in Higher Education Rahmaniar; Sapto Haryoko; Muhammad Rais; Supriadi
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.v3i2.468

Abstract

This study addresses limitations of many Learning Management Systems (LMS) that operate primarily as content management and administrative platforms with minimal integration of learning analytics, adaptive learning, and collaborative cyber classroom environments. Despite advances in artificial intelligence, educational data mining, and immersive technologies, these components are often implemented as separate tools rather than parts of an integrated system. This fragmentation limits the ability of institutions to transform LMS into intelligent learning ecosystems that are data informed, adaptive, modular, and collaborative. This study aims to propose LAMACCA (Learning Analytics–Driven Adaptive Modular LMS Architecture for Collaborative Cyber Classroom) as a conceptual framework that integrates learning analytics, adaptive mechanisms, modular learning design, and collaborative cyber classroom interaction into a unified LMS architecture capable of supporting data informed pedagogy in higher education. A conceptual research design was conducted through systematic literature synthesis across four domains: learning analytics, adaptive learning systems, modular architectures, and collaborative virtual learning environments. Studies were examined using criteria of architectural relevance, pedagogical alignment, and cyber classroom integration to identify core principles and model their integration into a unified LMS structure. The study produces a four layer architectural model consisting of (1) a learning analytics engine as the intelligence core, (2) adaptive mechanisms for personalized learning pathways, (3) modular learning components for flexible instructional design, and (4) a collaborative cyber classroom environment that enables real time interaction supported by analytics based monitoring. This integration reconceptualizes the LMS from a passive content management platform into an adaptive, collaborative, and analytics driven cyber learning ecosystem.
Competency Certification for Lifelong Learning and Professional Development in Technical Education: A Systematic Literature Review Anggreni, Sri; Mukhlisin, Mukhlisin; Miguel Oliveira de Barros Cardoso, Luis
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.v4i1.473

Abstract

Purpose – This study aims to explore and map the utilization of competency certification, including micro-credentials, as a mechanism to support lifelong learning and professional development in response to the rapidly changing world of work. It focuses on understanding how certification contributes to skills validation, employability, and career mobility in educational and workplace contexts.Methods – This study adopts a Systematic Literature Review (SLR) approach guided by the PRISMA 2020 framework. Articles were retrieved from the Scopus database (2020–2025), yielding 363 records, of which 36 studies fulfilled the predefined inclusion criteria. The methodological quality and risk of bias were assessed using the Mixed Methods Appraisal Tool (MMAT) through independent evaluation by three reviewers. The findings were systematically synthesized to identify key patterns, thematic relationships, and research gaps regarding competency certification in the context of lifelong learning and professional development.Findings – The analysis reveals that competency certification plays a significant role in supporting lifelong learning by enabling the flexible, modular, and verifiable recognition of skills. Its effectiveness is shaped by factors such as competency-based design, alignment with labor market needs, institutional readiness, and the ability to ensure verification, portability, and interoperability of the acquired competencies. Furthermore, the integration of digital technologies, such as blockchain-based credentialing, digital badge infrastructures, and AI-supported assessment systems, enhances the transparency, scalability, and cross-platform recognition of credentials, transforming certification into a dynamic learning ecosystem.Research implications – This study highlights the importance of integrating competency certification into education and workforce development systems. This suggests that stakeholders, including educational institutions, industry, and policymakers, should collaborate to ensure interoperability, standardization, and alignment with evolving labor market demands. Such integration is essential for strengthening lifelong learning ecosystems and workforce adaptability.Originality – This study conceptualizes competency certification as a socio-technical system that integrates educational practices, institutional frameworks, and digital infrastructures. It emphasizes that certification is not merely a validation tool but a technology-enabled mechanism that supports continuous learning, professional development, and adaptive workforce readiness.
The Impact of Digital Literacy on Academic Achievement and Students’ Learning Styles in Digital Learning Systems: A Systematic Literature Review Armi Saputri Yanti Ikhsam; Rita Ewere Chukwuka; Muhira Dzar Faraby
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.v4i1.474

Abstract

Purpose – The rapid transformation of higher education toward digital learning environments has increased the importance of digital literacy as a key competency for academic success. In digital learning systems, students are required to operate technology, critically evaluate information, regulate their learning processes, and adapt to diverse learning modalities. However, existing studies often examine digital literacy, academic achievement, and learning styles separately, resulting in fragmented understanding. This study aimed to systematically analyze the relationship between digital literacy, academic achievement, and students’ learning styles in higher education within digital learning systems. Methods – This study employed a Systematic Literature Review (SLR) following the PRISMA 2020 guidelines. focusing on publications from 2020 to 2025 to capture recent post-pandemic developments, without restricting open-access status. After applying the predefined inclusion and exclusion criteria, 37 studies were included in the analysis. Data extraction was conducted using a standardized form, and the methodological quality of the included studies was assessed using the Mixed Methods Appraisal Tool (MMAT). Findings – The findings indicate that digital literacy significantly enhances students’ academic achievement, both directly and indirectly, through mediating factors such as technological self-efficacy, critical thinking, learning motivation, and self-regulated learning. In addition, digital literacy contributes to the transformation of students’ learning styles toward more autonomous, collaborative, and multimodal learning patterns. However, challenges such as unequal access to digital infrastructure, variations in students’ digital competencies, and limited pedagogical readiness among educators remain significant barriers to its implementation. Research implications – This study provides a comprehensive synthesis of the role of digital literacy in shaping academic outcomes and learning behaviors in higher education. These findings highlight the importance of integrating technological, pedagogical, and institutional strategies to optimize digital learning systems. Nevertheless, limitations related to database selection, time frame restrictions, and variability in study designs suggest the need for broader and more diverse future research.
A Tamper-Evident Audit Logging Framework for Decentralized Single Sign-On: Prototype Design and Evaluation in Education-Oriented Digital Services Amri, Yufan; Harwahyu, Ruki
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.v4i1.479

Abstract

Purpose – This study aims to design, implement, and evaluate a prototype framework for tamper-evident audit logging in a decentralized single sign-on environment for education-oriented digital services. It addresses the risk that detailed authentication and session records remain stored in mutable off-chain systems, while storing complete audit data on-chain may increase costs and privacy exposure. Methods – The study adopted an artifact-based prototype design and evaluation approach. The prototype combined PostgreSQL-based off-chain audit storage, deterministic snapshot construction, canonical JSON serialization, SHA-256 hashing, Merkle root generation, and blockchain anchoring through the AuditAnchor smart contract on the Polygon Amoy testnet. The evaluation was conducted in a controlled prototype environment through tamper-detection testing, latency benchmarking, snapshot and proof performance measurements, storage-growth observations, and anchoring cost analysis. Findings – Post-anchoring record modification, deletion, and insertion consistently produce root mismatches. Across the evaluated workloads, snapshot construction remained below 0.4 s for up to 5,000 records, proof verification remained lightweight, and anchoring consumed 49,953 gas per transaction under the tested setup. Research implications – The prototype suggests that education-oriented multi-service environments may benefit from keeping detailed audit data off-chain while anchoring compact integrity commitments on-chain to support audit reviews, cross-service access tracing, and post-incident verifications. Originality – This study contributes a prototype-level integration of decentralized SSO, deterministic off-chain audit snapshots, and on-chain Merkle-root anchoring for audit verification
Psychological and Academic Predictors of Employability Skills: The Mediating Role of Career Planning in Indonesian Engineering Students Rahman, Muhammad Haristo; Shiber, Nahridzah Mahjubuh; Aminuddin
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.v4i1.483

Abstract

Purpose – This study examines the psychological and academic antecedents of employability skills among engineering students by investigating the roles of self-efficacy and academic commitment, with career planning as a mediating variable.Methods – A quantitative cross-sectional survey was conducted with 323 undergraduate engineering students from a public university in Indonesia. Validated instruments were used to measure self-efficacy, academic commitment (level of commitment, investment, and meaningfulness), career planning, and employability skills (analytical skills, general management, and leadership). Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings – The findings showed that self-efficacy and academic investment were the most consistent predictors of career planning. In turn, career planning was positively associated with all dimensions of employability skills, indicating its central role as a mediating mechanism between psychological and academic factors and employability outcomes. By contrast, level of commitment and meaningfulness showed weaker and less consistent relationships with employability dimensions.Research implications – The findings highlight the importance of strengthening self-efficacy, promoting active academic investment, and integrating structured career planning into higher education to support students’ employability development. Originality – This study extends prior employability research by testing a mediated model of self-efficacy, academic commitment, and career planning in an Indonesian engineering student context. However, the findings should be interpreted cautiously due to the cross-sectional design and single-university sample.
Laboratory Utilization, Learning Independence, and Learning Motivation as Predictors of Outcomes in Electrical Education: Moderating Role of Teacher Social Competence Nurdin, Redianto; Alimuddin Sa’ban Miru; Mukhlisin
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.v4i1.496

Abstract

Purpose – This study analyzes the influence of the utilization of electrical laboratory facilities, learning independence, and learning motivation on students learning outcomes, as well as examines the role of teachers' social competence as a moderating variable. Method - This study used a quantitative approach with an explanatory research type. The population consisted of 279 students, and the sample included 165 students determined through a proportional random sampling technique. Data were collected using a Likert scale questionnaire and documentation. Data analysis was performed using SEM based on Partial Least Squares (PLS) with the assistance of SmartPLS. Findings – Hypothesis testing indicates that the utilization of electrical laboratory facilities (β = 0.283; p < 0.000), learning independence (β = 0.378; p < 0.000), and learning motivation (β = 0.338; p < 0.000) positively and significantly affect learning outcomes. Additionally, teachers’social competence positively and significantly moderated the relationship between the utilization of electrical laboratory facilities (β = 0.181; p < 0.003), learning independence (β = 0.252; p < 0.000), and learning motivation (β = 0.189; p < 0.000) on learning outcomes. The coefficient of determination (R²) value of 0.555 indicates that the model can explain 55% of the variation in the learning outcomes.The research results affirm that the improvement of learning outcomes in electrical vocational education is influenced by the integration of students’ internal and external learning factors Research implications  – Practically, it is necessary to optimize the use of laboratories, strengthen learning independence and motivation, and enhance teachers’ social competence to support more effective learning. Originality – This study highlights the holistic integration of internal and external factors as a key determinant of learning outcomes in electrical vocational education, providing a more comprehensive perspective compared to studies that examine these factors separately.
Women’s Ethics and Language Style in Nineteenth-Century Canonical Novels: A Comparative Stylistic Analysis of Austen, Brontë, and Flaubert Arniati, Fitri; Mulyati; Mustakim, Amalia Wahyuni
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.v4i1.506

Abstract

Purpose – Nineteenth-century novels functioned not only as literary texts but also as ideological sites where morality, gender norms, and women’s ethical roles were constructed, negotiated, and contested. This makes stylistic analysis a productive approach for examining how literary language encodes women’s ethics in canonical fiction.This study examines how language style constructs, reinforces, and challenges the representation of women’s ethics in three nineteenth-century canonical novels and proposes its relevance for critical literacy Methods – This study employed a qualitative stylistic design to analyze Pride and Prejudice, Jane Eyre, and Madame Bovary. The analysis focused on metaphors, similes, irony, repetition, and narrative strategies. Metaphors were identified using MIPVU, narrative structure was examined through Genette’s narratological framework, and inter-coder reliability was calculated using Cohen’s κ on a 15% subset of the corpus Findings – The findings show that each novel foregrounds a distinct stylistic pattern. Austen predominantly uses social irony and domestic metaphor, Brontë emphasizes emotional simile, repetition, and internal focalization, and Flaubert relies heavily on narrative irony and descriptive narration. The inter-coder reliability ranged from κ = 0.77 to κ = 0.84, indicating substantial agreement across the coding categories. Across the corpus, irony and metaphor emerged as the most salient comparative features Research implications – The study also proposes a theoretically grounded instructional model for critical literacy development through structured stylistic annotation, LMS-based discussion, and evidence-based literary interpretation in digital or blended learning contexts Originality – The language style in nineteenth-century fiction functions not merely as an aesthetic device but as an ideological instrument that shapes and contests women’s ethics.
IoT-Based Motorcycle Hydraulic Brake Condition Monitoring System with Real-Time Website Integration Ahda Elok Hijriyani, Aufil; Pratindy, Raka; Humami, Faris; Rifano
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.v4i1.587

Abstract

Purpose - Brake failure on motorcycles, particularly on downhill roads, remains a critical safety hazard driven by thermal overheating, fluid degradation, and fluid-loss conditions that conventional single-parameter monitoring systems fail to detect comprehensively. This study successfully developed and preliminarily evaluated an IoT-based multi-sensor monitoring system for real-time detection of hydraulic disc brake conditions on motorcycles using a Research and Development approach. Method - The prototype integrates a Thermocouple Type K, a capacitive moisture sensor, a Level Sensor K-0135, and a GPS BN-220 connected to an ESP32 DevKit V1 microcontroller with MySQL database and Laravel 12 web dashboard integration. Validation encompassed laboratory calibration, 40 scenario classification tests, 50 trial response time measurements, and field testing on flat and downhill roads. Findings -All sensors achieved high accuracy, with thermocouple accuracy of 98.9%, moisture sensor 97.4%, level sensor 98.82%, and GPS speed 97.3% with 100% rule-based output conformity across all 40 predefined scenarios and a mean response time of 0.9314 seconds. Field classification across 3,201 time-series readings yielded an overall classification consistency of 93.22%, with perfect recall for CRITICAL and WARNING states based on predefined threshold rules. Brake pad temperature escalated from 35°C to 134°C on downhill roads, preliminarily supporting the 120°C threshold as an early warning boundary, consistent with documented brake fluid thermal degradation characteristics. Thermocouple reliability decreased to 67.7% under worst-case vibration due to short-circuit interference, representing a critical limitation affecting system reliability under real-world conditions, while dashboard operation remains dependent on stable internet connectivity. Research Implications - This study extends prior single-parameter approaches through a three-tier classification framework (NORMAL–WARNING–CRITICAL). Originality - with the primary contribution lying in the repositioning of the thermocouple from the reservoir to the brake pad surface, enabling more proximal thermal monitoring at the friction interface under the tested conditions.
IoT-Based Real-Time Motorcycle Tracking and Security System Using RFID e-KTP Authentication and 4G LTE Cellular Connectivity Faiza Cahya Ramadhani; Raka Pratindy
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.v4i1.593

Abstract

Purpose – This research addresses the rising problems of motorcycle theft and underage vehicle use by proposing an IoT-based security and tracking system with integrated access control and real-time monitoring capabilities. Methods – The study applied a Research and Development (R&D) methodology involving system design, hardware implementation, and performance evaluation. The prototype was developed using an ESP32-based Wemos D1 Mini 32, MFRC522 RFID module, RushFPV GNSS for positioning, and SIM7600 for 4G long-term evolution (LTE) communication. A self-hosted monitoring system was developed using PHP, MySQL, and Leaflet.js. The system was validated through multiple tests, including authentication accuracy, reading range, response time, GPS precision, and web functionality. Findings – The results show that the system achieved 100% authentication accuracy for registered e-KTP cards under the tested conditions, while rejecting the tested non-registered cards (e.g., SIM and ATM cards). Under the tested conditions, the effective RFID reading distance was limited to 0–2 cm. The system demonstrated a responsive performance with an average response time of 0.47 s. The GPS tracking results indicated low positional deviation based on the measurements. All the tested web-based monitoring features functioned as expected under the defined test scenarios. However, the evaluation was conducted at the prototype scale with limited testing scenarios. Research implications - Several limitations were identified, including the short RFID reading range, minor GPS inaccuracies, and dependence on a web-based interface. These factors may affect usability and limit the broader implementation in different environments. Originality – This study proposes an integrated system that combines 4G LTE connectivity, independent self-hosted monitoring, and RFID-based authentication using a government-issued e-KTP as a potential access control mechanism. The system demonstrates the feasibility of enhancing vehicle security and supporting controlled access, although further validation is required for real-world deployment.

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