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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika)
Rahmy Jasril, Ilmiyati
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

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Design of Internet of Thought-assisted Telemetry System for Vehicle Parameter Monitoring System Sidik, Rahman; Rahmy Jasril, Ilmiyati; Jaya, Putra
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 13, No 3 (2025): Voteteknika (Vocational Teknik Elektronika dan Informatika)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v13i3.134246

Abstract

The rapid development of digital technology encourages the important role of telemetry systems in monitoring various vehicle parameters in real-time. This research aims to design and develop an ESP32 microcontroller-based vehicle telemetry system integrated with several sensors. The sensors used include INA219 sensor to monitor battery voltage and current, MAX6675 sensor to measure engine temperature, and Neo-6M GPS module to determine the position and speed of the vehicle. The measurement results are displayed directly on the LCD screen and sent to IoT platforms such as ThingSpeak and Blynk Legacy via internet connection using WiFi network or SIM800L-based GSM network. The IoT platform serves as a medium for remote data storage and display. This system has been tested on Honda Supra Fit X motorcycle in static and dynamic conditions. The test results show that the system is able to accurately measure vehicle parameters with a small deviation rate compared to standard measuring instruments, namely ±1.0°C for temperature using a SmartSensor AR320+ infrared thermometer and 0.3V for voltage using a Sanwa CD800a digital multimeter. The data transmission system also proved to be stable under various network conditions. This telemetry system offers an efficient, flexible and accessible vehicle monitoring solution to support safety and preventive maintenance.
Augmented Reality-Based Learning Media for Computer and Telecommunication Network Engineering in Vocational Schools Akhiru Ramadhan, Gian; Marta, Rizkayeni; Rahmy Jasril, Ilmiyati; Darni, Resmi
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 13, No 4 (2025): Voteteknika (Vocational Teknik Elektronika dan Informatika)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v13i4.136078

Abstract

Hardware learning in the Computer and Network Engineering (CNE) Program at vocational high schools is often constrained by limited physical practice tools and media, such as static textbooks and 2D images, which are less effective in visualizing three-dimensional objects. This fails to provide an in-depth understanding of complex hardware components, a foundational skill in vocational education. Augmented Reality (AR) is one of the technologies with great potential to improve learning quality. This study is a Research and Development (R&D) project that aims to design and develop a comprehensive AR-based learning media. The development process was carried out using the Multimedia Development Life Cycle (MDLC) method, consisting of concept, design, material collecting, assembly, testing, and distribution. The novelty of this research lies in its integration of three domains—computer hardware, basic network devices, and fiber optic and telecommunication tools—aligned with the Kurikulum Merdeka learning outcomes. Application feasibility was evaluated in two stages: functional testing using the User Acceptance Testing (UAT) method involving 10 students and validation by media and material experts (two media experts and two material experts). The development resulted in a functional learning media containing 13 interactive 3D models and a quiz feature. Based on the UAT results, all main functionalities—including menu navigation, 3D object visualization, user interaction, and quiz systems—performed as expected. Furthermore, the expert validation yielded an average Aiken's V score of 0.90, categorizing the media as "highly valid". It is concluded that this AR-based learning media is both functionally feasible and highly valid as an innovative instructional tool to enhance students’ understanding of computer and network hardware.Keywords— Augmented Reality, Learning Media, Marker-Based AR, Android, Computer Hardware
Co-Authors Akhiru Ramadhan, Gian Jaya, Putra Marta, Rizkayeni Resmi Darni Sidik, Rahman