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Yulkifli
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%.
Development of a Smart Home Control System Based on the Internet of Things Using an Android Application Ayu Ramadhana; Yulkifli; Mairizwan
Research on Instrumentation Vol. 2 No. 1 (2025): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2025.20

Abstract

Housing is a fundamental human necessity that serves as a place for living, resting, and ensuring comfort and security. However, inefficient electricity consumption and inadequate security systems remain prevalent challenges in residential environments. This study aims to design and evaluate the performance of an Internet of Things-based smart home control system integrated with an Android application. The research adopts an engineering methodology consisting of system design, development, and experimental testing. The proposed system utilizes an ESP32 microcontroller, Passive Infrared sensor, Light Dependent Resistor sensor, and relay module, with an Android-based interface developed using MIT App Inventor and supported by Firebase for real-time data communication. The system has two modes: automated mode, which is powered by sensor inputs, and manual application mode, which is enabled by voice instructions. In automatic mode, lights are engaged when low ambient light and movements are detected, whereas in application mode, users can control illumination remotely via voice interaction. Experimental results show that the system achieves 100% accuracy and precision under the test conditions. These findings show that the suggested smart home system is extremely dependable and successful in optimising energy use and improving residential security.
A Microstrip Bandpass Filter Using Parallel Coupled Lines for 2.4 GHz WiFi Application Deli Anggraini; Pakhrur Razi; Yulkifli; Khairi Budayawan
Research on Instrumentation Vol. 2 No. 1 (2025): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2025.25

Abstract

In this ever-evolving digital age, the need for wireless communication technology is becoming increasingly crucial in various sectors, such as commercial, industrial, educational, and even household. One of the most commonly used wireless technologies is WiFi (Wireless Fidelity), which enables high-speed wireless internet connections and supports user mobility efficiently. To ensure optimal WiFi performance, a frequency filter capable of selectively operating at specific frequencies, such as the 2.4 GHz band, is required. This study aims to characterize a bandpass filter for 2.4 GHz WiFi applications. The bandpass filter design employs a parallel coupled lines structure. Simulation results show that the filter has a center frequency of 2.45 GHz with a return loss of −28.6 dB, insertion loss of −1.61 dB, and a bandwidth of 93 MHz, which aligns with the specifications. However, measurement results after fabrication showed differences, namely a center frequency of 2.47 GHz, return loss of −25.65 dB, insertion loss of −3.55 dB, and bandwidth of 93 MHz. In conclusion, although the simulation performance meets the specifications, the fabricated performance shows deviations that are likely caused by fabrication tolerances and imperfections in the fabrication process.
Design and Implementation of PWM-Based Speed Control and Monitoring System for Bucket Elevators in Wheat Flour Production Rahma Nurdi; Yulkifli; Mona Berlian Sari
Research on Instrumentation Vol. 2 No. 2 (2025): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2025.27

Abstract

In industrial wheat flour production, efficient material handling is essential to maintain product quality and streamline operations. One critical aspect is the transport of flour to storage silos using bucket elevators, where speed control plays a vital role in preventing delays and mechanical issues. This study presents the design and development of a prototype system for controlling and monitoring the speed of a bucket elevator using Pulse Width Modulation (PWM) technology. The system is built using an Arduino Uno microcontroller, LM393 speed sensor, INA219 voltage and current sensor, and a 12V DC motor with a PWM-based control interface. The proposed solution allows real-time adjustment of motor speed and accurate feedback through an integrated LCD and oscilloscope display. Experimental results show that the system achieves an average accuracy of 98.99% and a low error rate of 1.01% in both loaded and unloaded conditions. The findings confirm that PWM offers a reliable, efficient, and cost-effective method for speed regulation in vertical conveyor systems, particularly for sensitive materials such as wheat flour. This prototype serves as a scalable model for broader industrial applications in food processing.
Development of a Fish Feed and Water Control System for an Internet of Things-based Smart Aquarium Cindy Tisni Permata; Asrizal; Yulkifli
Research on Instrumentation Vol. 2 No. 1 (2025): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2025.30

Abstract

The cultivation of Discus ornamental fish requires a stable aquarium environment, particularly in maintaining water quality parameters such as temperature, pH, turbidity, and feeding management. Irregularities in these parameters can lead to stress, disease, and even mortality in fish. This study aims to design and implement an Internet of Things (IoT)-based Smart Aquarium system capable of monitoring and automatically controlling water quality and feeding in real time. The research method used is an engineering approach with experimental testing. The system is built using an ESP32 microcontroller integrated with a DS18B20 temperature sensor, pH sensor, turbidity sensor, and HX711 load cell sensor. The actuators include water pumps, relays, a heater, and a servo motor, supported by float switches and a water level sensor for automatic draining and refilling processes. System data is displayed through an I2C LCD and the Blynk application via Wi-Fi for remote monitoring. The experimental results show that the system operates effectively with high accuracy, where the temperature sensor achieves 99.45% accuracy, the pH sensor 98.51%, the turbidity sensor 99.30%, and the load cell sensor 99.25%. The system is capable of maintaining water temperature within the range of 28–30°C, detecting unsuitable water conditions, and controlling feeding based on weight automatically. Therefore, the proposed Smart Aquarium system improves efficiency, monitoring convenience, and the overall quality of Discus fish cultivation.
An Image Processing-Enabled Humanoid Robot for Autonomous Guest Reception Using ESP32-CAM Fauzan Bin Eylidarson; Yulkifli; Mona Berlian Sari
Research on Instrumentation Vol. 2 No. 2 (2025): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2025.33

Abstract

This study presents the design and development of a humanoid robot for guest reception based on image processing using the ESP32-CAM module. The robot is capable of detecting human presence visually, responding through an arm-waving gesture, and delivering an automatic voice greeting. The system integrates the ESP32-CAM for real-time face detection, servo motors for arm actuation, and a DFPlayer Mini audio module for verbal responses. Experimental results show that the system achieves a 100% face detection success rate within 30–90 cm, with an average response time of 1.21 seconds. Performance evaluation under different lighting conditions (30–580 lux) indicates optimal operation between 100–300 lux, with stable detection times ranging from 1.5–2.5 seconds. The system fails to detect faces under 10 lux  and above 800 lux. Servo–audio synchronization tests across ten subjects achieved perfect reliability with latency under 50 ms. The robot operates efficiently with power consumption of 1.2 A during active detection and 0.4 A when idle. This research demonstrates that a low-cost embedded architecture can successfully realize a functional humanoid robot for automated public reception tasks in indoor environments.
Co-Authors Asrizal Ayu Ramadhana Cindy Tisni Permata Deli Anggraini Fauzan Bin Eylidarson Khairi Budayawan Mairizwan Mona Berlian Sari Pakhrur Razi Rahma Nurdi Yenni Darvina Yuhelmi Farah Difa Zahrotiy Irsyad