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Information Technology Education Journal
Published by Universitas Negeri Makassar
ISSN : 28097971     EISSN : 2809798X     DOI : -
Core Subject : Science, Education,
Computer Science & IT Education
INTEC Journal is published by the Informatics and Computer Engineering Education Study Program at Makassar State University. INTEC 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. The INTEC journal already has a print version ISSN with the number 2809-798X in 2022 and an online version ISSN with the number 2809-7971. INTEC Journal contains articles on informatics and computer engineering education in particular: learning multimedia e-learning/blended learning, information system, artificial intelligence and robotics, embedded expert system, big data and machine learning, software and network engineering
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 265 Documents
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Design and Evaluation of an Integrated Virtual Laboratory Framework with Learning Analytics for Vocational Computer Network Engineering Education Dafitri, Haida; Abdul Hamid K; Sahat Siagian
Information Technology Education Journal Vol. 5, No. 2, May (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i2.266

Abstract

Purpose — This study proposes and evaluates an integrated virtual laboratory learning framework that combines virtual laboratories, Learning Management Systems (LMS), and learning analytics to support structured learning in vocational computer network engineering education. The framework is organized into five instructional phases (Highlight–Analyze–Integrate–Do–Assess) to facilitate coherent learning progression and data-informed feedback. Design/methods/approach — An early-stage (single-cycle) Design-Based Research (DBR) approach was employed using a quasi-experimental pre-test–post-test design involving 60 vocational high school students. Data were collected through cognitive achievement tests, practical performance assessments, classroom observations, and LMS-based learning analytics logs. Data analysis included normalized gain (N-gain), paired-sample t-tests, effect size (Cohen’s d), and descriptive and correlational analyses. Findings — The results indicate that the proposed framework is associated with improved cognitive achievement, with mean scores increasing from 58.3 to 82.7 (N-gain = 0.57). A statistically significant difference was found between pre-test and post-test scores (p < 0.001), with a large effect size (d = 1.34). In addition, 90% of students successfully completed virtual laboratory tasks. Learning analytics further revealed reduced error frequency, increased task efficiency, and more consistent engagement patterns over time. Research implications/limitations — Significant correlations were found between learning behaviors and outcomes, particularly task completion rate (r = 0.52). However, due to the absence of a control group, the single-institution context, and the early-stage DBR design, the findings should be interpreted as indicative rather than causal, limiting generalizability. Originality/value — This study contributes by demonstrating how virtual laboratories, LMS, and learning analytics can be systematically aligned within a structured instructional framework in vocational education. The study emphasizes pedagogical sequencing and the integration of behavioral analytics into the learning process, providing initial empirical support for technology-enhanced instructional design that warrants further validation through multi-site and longitudinal studies.
FORCAS: A Least Squares-Based Forecasting Application for Business Sales Budgeting Bakhtiar, Yohan; Abidatul Izzah; Ahmad Saifi Athoillah; Dion Yanuarmawan; Wiwik Mukholafatul Farida; Dwi Rahma Fitriani
Information Technology Education Journal Vol. 5, No. 1, February (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i1.266

Abstract

Purpose – This study aims to develop FORCAS (Forecasting Comprehensive Application for Sales), a universal forecasting application based on the Least Squares method to support business sales budgeting.  Design – The research employed a system development approach consisting of problem analysis, system design, algorithm implementation, and application testing. The Least Squares method was used to generate sales forecasts, while system validation was conducted through black box testing. User experience and usability were evaluated using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ).  Findings – The results show that FORCAS successfully generates accurate sales forecasts consistent with manual Least Squares calculations. Black box testing confirmed that all system functions operated correctly. Usability evaluation yielded a SUS score of 71, indicating a Grade C (acceptable usability), while UEQ results showed an Excellent rating across pragmatic and hedonic dimensions. Research implications – In conclusion, FORCAS provides a practical and replicable forecasting tool that can be applied across various business contexts. The application is particularly beneficial for small and medium enterprises (SMEs) and accounting education, offering an accessible solution for systematic sales budgeting. Future development may include the integration of advanced forecasting models such as ARIMA and machine learning-based methods.  Originality – However, most existing forecasting systems are designed for specific cases and lack flexibility for broader business applications. This study develops FORCAS as a universal forecasting application to address this limitation.
IoT-Based Road Blackspot Detection via GPS and Web Integration: Design, EAN-Based Risk Classification, and Field Evaluation Rahmatullah, Ghani Ridho; Tsani, Mokhammad Rifqi; Pratindy, Raka; Shofiah, Siti
Information Technology Education Journal Vol. 5, No. 2, May (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i2.267

Abstract

Purpose – Road safety on high-traffic inter-city corridors in Indonesia remains a pressing concern, as drivers receive no real-time hazard notification when approaching zones with statistically elevated crash history. This study develops and evaluates an ESP32-based early warning system that couples GPS-derived positioning with the Equivalent Accident Number (EAN) method to issue graduated audio-visual alerts at road blackspots along the Palur–Semarang bus corridor. Design –  EAN quantifies accident severity by weighting fatalities (12), serious injuries (3), minor injuries (1), and property-damage incidents (0.5); segments exceeding the Upper Control Limit (UCL = 170,52) are designated blackspots, with coordinates stored in onboard flash memory. A SIM800L GPRS module transmits positioning data to a web-based fleet monitoring dashboard. Findings – Field evaluation across 10 GPS sampling points yielded mean errors of 0.00033% for latitude (3.7 m) and 0.00005% for longitude (5.0 m), with maximum deviations of 8.9 m and 17.8 m—both within the 800 m geofencing radius. All 10 from 64 validated corridor zones returned EAN values of 199,5–668,5, each exceeding the UCL, with web-platform outputs matching manual calculations exactly. Eight integrated test scenarios confirmed three-tier audio-visual alert delivery at 800 m, 400 m, and 100 m thresholds with zero missed triggers and zero spurious activations. Research implications – These findings provide preliminary evidence for the technical feasibility of EAN-based blackspot intelligence as a driver vigilance aid; however, full-route longitudinal testing across diverse vehicles and network conditions is required before generalised deployment can be recommended. Originality – This study integrates EAN-based crash severity analysis with real-time GPS tracking in an ESP32 system to deliver tiered early warnings for road blackspots.  
Development of a YOLO- and MQTT-Based Overtaking Warning System for Intelligent Driver Safety Education Haidar, Muhammad Faris; Wibowo, Helmi
Information Technology Education Journal Vol. 5, No. 2, May (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i2.269

Abstract

Purpose – This study aims to develop an intelligent overtaking warning system based on YOLOv8 object detection and Vehicle-to-Vehicle (V2V) communication using MQTT, designed as a prototype with the potential to serve as an interactive learning medium for driver safety and vehicular communication concepts. The study is motivated by the limited availability of practical educational tools for understanding overtaking processes and real-time communication in the Internet of Vehicles (IoV) context. Design – The research adopts a research and development (R&D) approach, including system design, implementation, and testing stages. The system is built using Raspberry Pi and ESP32, integrating GPS and LiDAR sensors with OCR-based recognition, and is evaluated through technical performance testing and user perception analysis using a Likert-scale questionnaire with validity and reliability testing. Findings – The results show that the system achieves an average end-to-end detection and processing delay of 0.911 seconds, while MQTT communication latency averages approximately 0.1269 seconds under controlled network conditions, with stable bidirectional communication. The YOLOv8 model performs optimally at a confidence threshold of 0.4, and the GPS and LiDAR sensors produce average error rates of 3.99% and 2.86%, respectively, while MQTT communication achieves a 100% success rate under tested conditions. Questionnaire results indicate that respondents reported positive perceptions regarding system usefulness, with most questionnaire items meeting validity criteria (r > 0.31) and a Cronbach’s Alpha of 0.952, indicating high reliability. Research Implication – These findings suggest that the system is technically feasible and demonstrates perceived educational potential as an interactive learning medium. However, this study is limited by the number of respondents and simulation-based testing; therefore, future work should include real-world traffic testing and larger-scale evaluations to improve system robustness and applicability. Originality – This study integrates YOLOv8-based object detection with MQTT-based V2V communication to develop an intelligent overtaking warning system as an interactive learning medium in IoV contexts.
Development of Virtual Reality Learning Media Assisted by Millealab for Islamic History Education in Secondary School Hyangsewu, Pandu; Sudaryat, Muhamad Ridwan; Faqihuddin, Achmad; Wicaksono, Aulia Tegar; Rashid, Rosmalizawati Ab
Information Technology Education Journal Vol. 5, No. 2, May (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i2.261

Abstract

Purpose – This study aims to develop and test the feasibility and practicality of a virtual tour learning media assisted by the Millealab platform for Islamic history material on the Ottoman Empire at one of the SMP in Bandung. Design/methods/approach – This study uses a Research and Development (R&D) design through the procedural ADDIE model approach (Analysis, Design, Development, Implementation, and Evaluation). Sampling was conducted using a random sampling technique involving 167 students for needs analysis and 30 students for field implementation. Data collection instruments included expert validation sheets and practicality assessment questionnaires. Findings – The results showed that the virtual tour product achieved "Highly Valid" criteria with scores of 89.50% from material experts and 92.30% from media experts. Field trials recorded "Highly Practical" criteria with 88.00% from educators and 88.40% from students Research implications/limitations – The scope of this study is strictly limited to the Ottoman Empire material and small-scale practicality testing. Functionally, this innovation is proven to bridge the technical barriers of educators in producing virtual reality content without requiring programming skills. Originality/value – This research provides a practical framework regarding the utilization of a no-code virtual reality platform within the domain of Islamic history education, an area that is still rarely examined operationally.

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