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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Vigneshwaran, Pandi
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Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

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Development of an internet of things-based weather station device embedded with O2, CO2, and CO sensor readings Megantoro, Prisma; Saud Al-Humairi, Safaa Najah; Kustiawan, Arya Dwi; Arsalan, Muhammad Rafi Nabil; Prastio, Rizki Putra; Awalin, Lilik Jamilatul; Vigneshwaran, Pandi
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i1.pp1122-1134

Abstract

Weather station devices are used to monitor weather parameter conditions, such as wind direction, speed, rainfall, solar radiation level, temperature, and humidity. This article discusses the design of a customized weather station embedded with gas concentration readings, whereby the gas concentration measurement includes oxygen (O2), carbon dioxide (CO2), and carbon monoxide (CO). The measurements and data processing of input sensors were transmitted to an Arduino Uno microcontroller, and the input data were then remitted to Wemos D1 Mini to be uploaded to a cloud server. Furthermore, the gas sensors' characterization methods were also considered to reveal the obtained results of accuracy, precision, linearity, and hysteresis. An android-based mobile application was also designed for monitoring purposes. The system in our experiment utilized an internet connection with a field station, base station, and database server.
The implementation of Archimedes optimization algorithm for solar charge controller-maximum power point tracking in partial shading condition Perkasa, Sigit Dani; Megantoro, Prisma; Hidayah, Nayu Nurrohma; Vigneshwaran, Pandi
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i3.pp2769-2785

Abstract

Maximum power point tracking (MPPT) enhances the efficiency of solar photovoltaic (PV) systems by ensuring optimal power extraction under varying conditions. MPPT is implemented in solar charge controllers or hybrid inverters connected to PV arrays. The current-voltage (IV) curve, influenced by temperature and irradiance fluctuations, becomes more complex under partial shading, causing multiple local maxima and reducing efficiency. This study proposes an MPPT technique using the Archimedes optimization algorithm (AOA), a novel metaheuristic inspired by Archimedes' principle. The AOA-based MPPT integrates a DC/DC buck converter controlled by an STM32 microcontroller to address challenges in complex shading conditions. Comparative analysis demonstrates the AOA's superiority in achieving high efficiency and fast convergence. The AOA-based MPPT achieved an average efficiency of 93.17% across shading scenarios, outperforming PSO (87.04%) and non-MPPT systems (84.56%). It also exhibited faster average tracking times of 90.5 ms compared to PSO's 100.5 ms, ensuring robust and reliable performance. These results confirm the effectiveness of the AOA-based method in maximizing energy harvesting in real-world PV applications.
Co-Authors Abdillah, Muhammad Hudzaifah Abror, Abdul Anugrah, Antik Widi Arsalan, Muhammad Rafi Nabil Awalin, Lilik Jamilatul Dona Saya, Joy Sefine Fadhilah, Marwan Herlambang Setiadi Hidayah, Nayu Nurrohma Kustanto, Bambang Joko Kustiawan, Arya Dwi Perkasa, Sigit Dani Prisma Megantoro Rizki Putra Prastio Saud Al-Humairi, Safaa Najah Syahbani, Muhammad Akbar