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All Journal Elektron Jurnal Ilmiah JECCOM International Journal of Wireless And Multimedia Communications
Milda Yuliza
Jurusan Teknik Elektro Politeknik Negeri Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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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.
Design of Monitoring and Control System For Air Temperature And Humidity In Oyster Mushroom Cultivation Room Based on IOT Aulia Mutaqi, Raffa; Yuliza, Milda; Antonisfia, Yul; Nisa, Nisa Rahima Sakinah
International Journal of Wireless And Multimedia Communications Vol. 2 No. 1 (2025): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Oyster mushroom cultivation is very popular among rural and urban communities, both on a small, medium and industrial scale. Oyster mushroom cultivation requires controlling the temperature and humidity in the mushroom barn to get optimal mushroom body growth. In general, the optimal temperature for oyster mushroom growth in the fruiting phase is 26-30°C with a humidity of 70-95%RH. This system describes the workings of the device used to monitor temperature and humidity using a DHT22 sensor through a microcontroller, which is displayed on the Blynk application and a 20x4 LCD. Measurements in lowland areas show a temperature of 29°C and humidity of 95%. The percentage error of the temperature measurement with the DHT22 sensor is 6.37%, with an average error of 1.60%. As for humidity, the measurement error is 0.71% with an average error of 0.82%. With this system, mushroom farmers can monitor the environmental conditions of the cultivation room in real-time through an IoT platform connected to the sensor.
Design and Construction of Automatic Salted Fish Drying Device Based on Microcontroller Yuliza, Milda; Yultrisna; Efrizon; Chandranata, Adi; Kurnia, Ella
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.2.2.77-85.2024

Abstract

An Automatic Salted Fish Dryer controlled by a microcontroller has been made based on a drying process that takes a long time, which is around 3-4 days and the weather is also sometimes unpredictable, thus inhibiting the productivity of making salted fish. The purpose of this study is to design a salted fish dryer that can work automatically to speed up the drying process of salted fish by maintaining a temperature that does not exceed 45 ° C to obtain a salted fish humidity of 40%. The research method starts from making a prototype and measuring system performance. The results of measuring the performance of drying salted fish using an automatic salted fish dryer are faster than the traditional method which requires a drying time of 3-4 days. By using an automatic dryer, it only takes 3-5 hours of drying and can reduce fish humidity by up to 40%, in accordance with SNI with a maximum drying temperature of 45 ° C. The DHT22 sensor is used to measure temperature and humidity, which is then displayed on the LCD. Overall, the tool can function well. Suggestions for further research, Hybrid energy sources can be added and condition monitoring can be done via the Internet of things (IoT).
Sistem Monitoring Tanda Belok, Pengereman, dan Kecepatan pada Sepeda Motor Menggunakan MIT APP Inventor Herizon, Herizon; Artika, Bintang; Yuliza, Milda; Rahmat, Rahmat
Elektron : Jurnal Ilmiah Vol 17 No 1 (2025): Volume 17 Nomor 1 Tahun 2025
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.17.1.588

Abstract

Traffic accidents are a serious issue, causing an average of three fatalities every hour. Based on available data, approximately 61% of traffic accidents are caused by human factors, 9% by vehicle roadworthiness, and 30% by infrastructure-related factors such as road conditions, traffic signs, weather, and the surrounding environment. In the process of accident investigation, law enforcement officers often face difficulties in obtaining accurate data related to vehicle speed, braking activity, and the use of turn signals by the rider. As a result, the information gathered is often subjective and varies among different witnesses. This study aims to design and implement a motorcycle monitoring system capable of recording vehicle speed, braking actions, and turn signal activation in real-time to support objective traffic accident analysis. The method used in this research involves the development of a microcontroller-based hardware system equipped with a speed sensor, brake sensor, and turn signal sensor. All data is automatically transmitted using Internet of Things (IoT) connectivity to the Google Firebase platform. An Android application developed using MIT App Inventor displays the data in real-time, while storage is handled through integration with Google Spreadsheet. The results of this system are expected to provide accurate and reliable reference data for law enforcement and relevant institutions in analyzing traffic accidents, as well as to serve as a preventive tool for future incidents by enabling digital monitoring of driving behavior. Keywords: IoT, Google Firebase, Google Sheets, Motorcycle Vehicles, MIT APP Inventor
Co-Authors Adi Chandranata Artika, Bintang Aulia Mutaqi, Raffa Efrizon Herizon Kurnia, Ella Nisa, Nisa Rahima Sakinah Rahmat Rahmat Yul Antonisfia Yultrisna