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All Journal Research on Instrumentation
Yenni Darvina
Department of Physics, Universitas Negeri Padang, Padang, Indonesia

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Experiment Tool Development of Circular Motion Experiment with Belt-Connected Wheels Using Hall Effect Sensor Based on IoT Yuhelmi Farah Difa; Yulkifli; Asrizal; Yenni Darvina
Research on Instrumentation Vol. 1 No. 2 (2024): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2024.11

Abstract

Innovation in educational tools is crucial for improving the learning experience in physics experiments. This study presents the design and development of an IoT-based experimental tool for analyzing wheel dynamics. The tool integrates microcontrollers and sensors to accurately measure both angular and linear velocities. By varying wheel sizes and controlling rotation speeds, students can explore the relationship between speed, size, and motion. Real-time data transmission via smartphones ensures accessibility and efficiency in analyzing wheel dynamics during experiments. The system incorporates a KY-024 Hall effect sensor that detects wheel movements through digital signals generated by magnets. Data is collected in real-time and sent to an IoT platform for further analysis, allowing precise comparisons between experimental and theoretical values. The tool supports three configurations: contacting wheels, concentric wheels, and belt-connected wheels, enabling comprehensive exploration of wheel mechanics. Experimental results demonstrate high accuracy, with angular velocity measurements exceeding 98,00% across configurations. Contacting wheels achieve accuracy levels of 97,68% and 98,34%, concentric wheels maintain 98,34%, and belt-connected wheels exhibit slight variations at 98,34% and 97,65%. This IoT-integrated system offers a reliable, precise, and versatile approach to understanding wheel dynamics, making it a significant asset for enhancing educational physics experiments.
Linear momentum and impulse experimentation tool using infrared and load cell sensors based on Internet of Things Zahrotiy Irsyad; Yulkifli; Asrizal; Yenni Darvina
Research on Instrumentation Vol. 1 No. 2 (2024): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2024.15

Abstract

Microcontrollers can be utilized in the field of physics education as a component to develop physics experimental tools. This research aims to design and build an experimental tool that can be used to measure linear momentum and impulse with high accuracy, using Internet of Things technology. This tool utilizes infrared sensors and load cells as the main components in the measurement. The infrared sensor is used to detect the speed of the object, while the load cell is used to measure the mass of the object. The data obtained from these two sensors is sent in real-time through the IoT platform. This tool is designed to make it easier for users, especially in the educational environment, to conduct physics experiments related to momentum and impulse more efficiently and effectively. From the research that has been done, the results of performance specifications on the experimental tool and design specifications on the experimental tool are obtained. The results of performance specifications, the sensors used have good linearity with R-Square values of 0.99849, electronic circuits using various components, and blynk interfaces to display data. The results of the design specifications have an accuracy rate of 96,781% and a high measurement accuracy of 99.002% and 93.567%.
Co-Authors Asrizal Yuhelmi Farah Difa Yulkifli Zahrotiy Irsyad