Article Per Year (5 Year)
p-Index From 2021 - 2026
0.983
P-Index
This Author published in this journals
All Journal Elektron Jurnal Ilmiah Indonesian Journal of Community Services Cel JECCOM International Journal of Wireless And Multimedia Communications
Milda Yuliza
Jurusan Teknik Elektro Politeknik Negeri Padang
Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JECCOM

 1 
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 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).
Co-Authors Adi Chandranata Artika, Bintang Aulia Mutaqi, Raffa Efrizon Fisla Wirda Herizon Kurnia, Ella Nisa, Nisa Rahima Sakinah Rahmat Rahmat Yul Antonisfia Yultrisna