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Journal : JECCOM

Implementation of LiDAR Sensor for Mobile Robot Delivery Based on Robot Operating System Fiqri Ahmad Agung; H Herizon; Era Madona; Muhammad Rohfadli; Ja'far Ja'far
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 1 No. 2 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30642/jeccom.1.2.66-78.2023

Abstract

Recent research has focused on the development of mobile delivery robots as part of the rapidly evolving autonomous technology. The main focus is on creating mobile robots capable of efficiently delivering goods without human intervention. This involves designing systems, core technologies, and overcoming various challenges. The navigation system of the delivery robot is enhanced by the use of LIDAR (Light Detection and Ranging) sensors. One of the sensors used is the RPLIDAR A1M8 which is capable of detecting nearby objects with a distance reading of 360°. Trials were conducted to evaluate the robot's navigation performance with a load variation of 0 kg to 20 kg. The test results show that RPLIDAR A1M8 can read distances up to 1200 cm with an error rate of about 3.15%, and a minimum distance of 15 cm with an error of 1.45%. The durability of this sensor reading is well maintained, with a presentation error of only 0.4%. Mapping trials in the room produced an average error of 18.57% without tracking, and 5.02% with tracking. The weight of the load carried by the robot affects the speed and travel time. The heavier the load, the robot speed decreases from 0.264 m/s at 0 kg load to 0.127 m/s at 20 kg load. Likewise, the travel time increases with the weight of the load, from 7.6 seconds to 15.6 seconds.
Design Of Temperature Control Device In Milk Pasteurization Process With High Temperature Short Time (HTST) Method Using PID Controller Chintia Rahma Rahayu; Yultrisna, Yultrisna; Herizon, Herizon; Rohfadli, Muhammad
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 2 No. 1 (2024)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jeccom.2.1.1-9.2024

Abstract

Milk is one of the foods that contain a number of highly nutritious nutrients. The content of protein, glucose, lipids, mineral salts, and vitamins with a pH of 6.8 causes microorganisms to grow easily in milk. Microorganisms that develop in milk will cause the milk to spoil. Therefore, it is necessary to process milk in order to maximize the quality and durability of milk, one of which is by heating milk (pasteurization). The pasteurization device is designed using a MAX6675 thermocouple sensor to measure the temperature of the milk during the pasteurization process where the temperature is controlled by a PID (Proportional Integral Derivative) controller with predetermined Kp, Ki, Kd parameters. The parameters obtained for PID control are Kp = 42, Ki = 3.5, Kd = 9. In testing the pasteurization device applying the High Temperature Short Time (HTST) method with a setpoint of 72 ℃ for 15 seconds with the time needed to reach the setpoint value for 29 minutes. Temperature readings using MAX6675 thermocouple sensors produce an average error of 0.5% when compared to national standard measuring instruments. Pasteurized milk can last for 3 days at 4-10℃ and for 4 hours at room temperature or around 21-25℃.
Implementation of Photodiode Sensors in a Line Follower Robot Herizon, Herizon; Yuliza, Milda; Rahmat, Rahmat
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 2 No. 1 (2024)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jeccom.2.1.32-41.2024

Abstract

Line follower robot is a type of autonomous robot designed to follow a specific trajectory, usually a black line on a white background. In order for the robot to follow the trajectory accurately, a sensor is required that is able to detect the difference in light intensity between the line and the background. This study evaluates the application of a photodiode sensor to a microcontroller-based line follower robot, focusing on the performance of the sensor under various lighting conditions and surfaces. The results show that the photodiode sensor is able to detect lines with high accuracy of almost 100% between black lines on a white surface. To achieve fast response speed and high trajectory stability, the optimal distance between the photodiode sensor and the surface must be maintained. Fast response speed and high trajectory stability are at a distance of 0.5 to 1.0 cm. Under normal lighting conditions (200-300 lux), the robot can follow the trajectory with optimal speed and precision. Under low lighting conditions (below 100 lux), the sensor is still able to detect the line, but the robot speed must be reduced to maintain accuracy. Under very bright lighting conditions (above 500 lux), the photodiode sensor shows a little difficulty in distinguishing lines if there is significant light reflection, but it can still be compensated by adjusting the sensor sensitivity. This research provides a solid foundation for further development in improving the performance of line follower robots in various practical applications.
Implementation of Indoor Positioning System for Monitoring Geriatric Syndrome Patients Based on Bluetooth Low Energy Nandika, Reza; Hidayat, Anton; Herizon; Nasution, Anggara; Putra, Andreansyah
JECCOM: International Journal of Electronics Engineering and Applied Science Vol. 2 No. 2 (2024)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jeccom.2.2.68-76.2024

Abstract

Health issues commonly faced by the elderly include geriatric syndromes. The impact of these syndromes on older adults can lead to instability (disruption of balance, making them prone to falls) and intellectual impairment. Because of these concerns, monitoring is essential for individuals experiencing geriatric syndromes to prevent symptoms from worsening due to falls. As technology advances, object tracking systems using Global Positioning System (GPS) have developed significantly. However, GPS tracking systems are primarily suitable for outdoor tracking. Thus, there is a need for a method capable of detecting individuals with geriatric syndrome indoors and providing alerts if they fall. This study proposes a multi-room monitoring system for patients with geriatric syndrome to mitigate the adverse effects of falls by implementing an Indoor Positioning System (IPS) that utilizes Bluetooth Low Energy (BLE) technology and gyroscope sensors for fall detection. The proposed IPS employs BLE technology using the trilateration method. The ESP32 module is selected as the reference point for scanning BLE signals, measuring signal strength (RSSI), and transmitting data to a server for further processing via the Message Queuing Telemetry Transport (MQTT) protocol. The result of the test carried out during indoor conditions showed an average deviation in the x-cordinate of 0.28 meters and y-cordinate of 0.27 meters from the patients actual location.