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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal Otomasi Kontrol dan Instrumentasi Journal of Electronics Technology Exploration (JOeTEx)
Yusmar Palapa Wijaya, Yusmar Palapa
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Journal : journal of electronics technology exploration joetex

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Off-Grid Emergency Tent Solutions with a Compact Solar Photovoltaic System Mazlan, Muhammad Zaim Marwan; Mohamad, Khairul Anuar; Alias, Afishah; Nordin, Muhammad Syahmi; Wijaya, Yusmar Palapa
Journal of Electronics Technology Exploration Vol. 2 No. 1: June 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joetex.v2i1.289

Abstract

In recent years, solar photovoltaic (PV) systems have seen increased utilization for powering a diverse range of applications, from residentials and buildings to off-grid installations, highlighting their growing importance in the global transition towards sustainable development using renewable energy sources. This paper proposes the development of a compact solar PV system for emergency tent systems to aid preparations and rapid response efforts during disasters and unforeseen events. The system aims to support local authorities and communities in mitigating disaster risks due to power outages. The design and implementation of an emergency tent prototype measuring 3´3 m2, with a power consumption of 0.36 kW/day using a 30 W solar PV panel and battery storage capacity of 40 Ah. The system is sufficient for powering the basic functions of dc bulbs and fans as the primary load.
Near Field Communication (NFC)-Based Prepaid Smart Power Meter Syamsir, Hendri Novia; Zahra, Sheila; Wijaya, Yusmar Palapa
Journal of Electronics Technology Exploration Vol. 2 No. 1: June 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joetex.v2i1.374

Abstract

An essential part of an electric energy service is an electrical power meter. Numerous customers have already expressed dissatisfaction over the electric meter's faulty readings. The development of an electrical power meter with an NFC reader is presented in this study. When an NFC card is successfully scanned by the NFC reader, the power meter is turned on and ready to deliver electricity. Before the electricity is automatically turned off, or when the credit is almost low, the display will show the alert. By experiment, PZEM 004T sensor use 3 loads, namely 60 W, 75 W and 100 W for testing current, voltage and cos phi and have error of 0 – 1.20%. In balance reduction with loads of 60 W, 75 W, and 100 W with a time gap of 5 and 10 minutes, there is an error reduction of 11.5 – 17.4%. Thus, this electricity meter with NFC reader is suitable for monitoring and controlling electricity usage.
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 Akhyan, Amnur Alias, Afishah Huda, Amirul Madona, Putri Mazlan, Muhammad Zaim Marwan Mohamad, Khairul Anuar Muhammad Iqbal Nordin, Muhammad Syahmi Prabowo, Bambang Said, Dalila Mat Subagiyo, Heri Surendra, Robby Pradana Swinarno, Imam Syahbana, Dodi Syamsir, Hendri Novia Zahra, Sheila