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All Journal JURNAL PHOTON Journal of Electronics Technology Exploration (JOeTEx)
Subagiyo, Heri
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Nursing Physics

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The Design and Construction of A Dynamic Multi-Sensor and Multi-Storage Data Logger for Weather Parameters Wahyuni, Retno Tri; Subagiyo, Heri; Huda, Amirul
Photon: Jurnal Sain dan Kesehatan Vol. 14 No. 1 (2023): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v14i1.6278

Abstract

The Data Logger is an electronic device designed to automatically and continuously store data. Data loggers are widely used in various fields, including the storage of weather parameter data. Generally, a data logger consists of sensor devices, a processor, and storage media. This paper discusses the design of a dynamic data logger that allows the selection of sensor input types and storage media such as an SD card or a cloud database. The data logger comprises hardware devices, including five weather parameter sensors, a processor and a communication module using ESP32, a timing system using RTC, and local storage media in the form of an SD card. Additionally, there is a computer-based user interface built using Visual Basic. The connection between the user interface application and the data logger hardware is established using serial communication. Overall system testing results indicate that all features of the data logger system have operated well.
Automated Printed Circuit Board Inspection System using NI Vision Builder and NI MyRio Wijaya, Yusmar Palapa; Swinarno, Imam; Prabowo, Bambang; Subagiyo, Heri; Huda, Amirul; Syahbana, Dodi
Journal of Electronics Technology Exploration Vol. 2 No. 2 (2024): December 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joetex.v2i2.511

Abstract

To improve flaw identification in contemporary electronics manufacturing, this study introduces an automated printed circuit board (PCB) inspection system that integrates NI Vision Builder with NI MyRIO. The device effectively detects flaws like missing parts, open circuits, and over-etched traces by utilizing a high-resolution camera and sophisticated methods including color plane extraction and pattern matching. Real-time visualization, classification, and automated data recording are made possible via a LabVIEW-based interface, which makes the inspection process easy to use. A 92% accuracy rate was attained during testing on both bare PCBs and PCB assemblies, indicating better performance than conventional techniques. Although multi-layer and subsurface defect detection still presents difficulties, the system provides a scalable and affordable solution with the possibility to incorporate machine learning and sophisticated imaging in the future for increased adaptability.
Co-Authors Huda, Amirul Prabowo, Bambang Swinarno, Imam Syahbana, Dodi Wahyuni, Retno Tri Yusmar Palapa Wijaya, Yusmar Palapa