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DESIGN AND DEVELOPMENT OF A TONG GLINDING SIMULATOR BASED ON VIRTUAL REALITY AS A MEDIUM FOR PHYSICS EDUCATION Syahputra, Dimas Novian Aditia; Panduman, Yohanes Yohanie Fridelin; Dermawan, Dodik Arwin; Sidhimantra, I Gde Agung Sri; Hakim, Septian Rahman
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 10 No 2 (2025): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v10i2.61811

Abstract

Physics learning about motion concepts is often abstract, while traditional games with embedded scientific principles are increasingly overlooked. This study addresses both issues by developing a Virtual Reality (VR)–based physics simulator inspired by the traditional Tong Glinding game. Designed as an interactive virtual laboratory, the simulator allows users to adjust the incline angle (1°–6°), choose a smooth or rough surface, and observe the motion of a rolling barrel along a 20-meter track. Developed using the Research and Development (R&D) method with the ADDIE model and implemented in Unity 3D, the system integrates cultural heritage with immersive VR experimentation. Functional testing confirmed 100% conformity to design specifications. Simulation verification demonstrated high accuracy, with errors of only 1.8%–2.5% between simulation and analytical calculations on the smooth surface, while the rough surface correctly produced no motion at low angles. User experience testing with 30 participants yielded a high overall score of 87.5 out of 100, supported by strong reliability across all dimensions (Cronbach’s α = 0.85–0.92). These results show that the simulator is technically reliable, physically accurate, and well-received as a learning medium. The combination of cultural preservation and interactive VR-based experimentation represents the novelty of this work.
Implementation SEMAR-IoT-Platform for Vehicle as a Mobile Sensor Network Panduman, Yohanes Yohanie Fridelin; Sukaridhoto, Sritrusta; Tjahjono, Anang; Budiarti, Rizqi Putri Nourma
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.425

Abstract

With the rapid development of IoT technology in various fields such as smart cities and industry 4.0, the need for wireless sensor network-based systems has increased, one of which is the concept of using a vehicle as a mobile sensor network or known as VaaMSN. Many developers use the IoT platform as a cloud computing service in developing the VaaMSN system. However, not all IoT platform service providers provide monitoring features on every device and provide information such as device location, purpose, condition. Therefore, this research aims to develop an IoT Platform that can receive data and provide information on each device, making it easier to process data and control devices.  Therefore, this research aims to develop an IoT platform called the SEMAR-IoT-Platform that able to received data and provide information on each device for easier data processing and control devices.  The SEMAR-IoT-Platform integrates Big Data, Data Analytics, Machine Learning, using the principles of Extract, Transfer, and Load (ETL) for data processing and provides communication services using HTTP-POST, MQTT, and NATS.  The test results show that the system has been successfully implemented to complement a simple IoT system with an average delay time of HTTP, NATS, and MQTT communications of less than 150ms for the data storage process, and for the data visualization process has an average delay time of less than 300ms.