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All Journal Journal of Industrial Automation and Electrical Engineering
Doni Tri Putra Yanto
Department of Electrical Engineering, Universitas Negeri Padang, Indonesia
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Microcontroller Based Dual Axis Solar Tracker with Internet of Things Meisi Yulia Putri; Doni Tri Putra Yanto
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/rsssfk57

Abstract

for large-scale development in Indonesia. However, the efficiency of energy absorption in solar panels largely depends on the position and intensity of the sunlight received. This study aims to enhance energy absorption efficiency through the design of a Dual-Axis Solar Tracker system based on an ESP32 microcontroller integrated with the Internet of Things (IoT) platform. The system employs four LDR sensors to detect the direction of sunlight, two servo motors to adjust the panel’s position along horizontal and vertical axes, and utilizes the Blynk and Google Sheets applications for real-time monitoring and data logging. Experimental testing was conducted under clear weather conditions at Sparco Anak Air Residence, Jl. Bypass Batipuh Panjang, Koto Tangah, on September 24, 2025, from 10:00 to 12:17 local time (WIB). The results show that the system equipped with the solar tracker produced an average power output of 8.41 W, which is higher than the 5.57 W generated by the non-tracking system. The efficiency of the panel with the tracker reached 4.2%, compared to only 2.78% without the tracker, representing a 50.98% increase in power output. These findings demonstrate that the implementation of an IoT-based dual-axis solar tracker system can significantly improve the performance and energy conversion efficiency of solar panels.
Co-Authors Meisi Yulia Putri