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All Journal Eksakta : Berkala Ilmiah Bidang MIPA
Muhammad Ghifari Fadza Thoriq
Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya, Surabaya, Indonesia
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering

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Intelligent IoT-based Solar Tracker Using Fuzzy Logic Takagi-Sugeno Kang for Energy Optimization for Melon Hydroponic Monitoring Muhammad Ghifari Fadza Thoriq; Nurhayati Nurhayati; Ruqayyah Hassan Labo; Raimundo Eider Figueredo; Nurulazlina Ramli
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 27 No. 05 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) In Progress
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol27-iss05/756

Abstract

Hydroponic melon quality depends on tightly controlled pH, TDS, and water level, requiring round-the-clock monitoring and uninterrupted off-grid power, yet fixed-tilt panels lose energy as the sun moves. This study develops a single-axis solar tracker using a Zero-Order Takagi-Sugeno-Kang (TSK) fuzzy controller, whose rules output constant servo angles combined by a weighted average, avoiding Mamdani-style centroid defuzzification and suiting an ESP32-S3 that also runs the monitoring node. Two LDR sensors feed five triangular membership functions to set five servo positions, with a deadband suppressing unnecessary movement. Five-day field trials in Jombang, Indonesia, using INA219 modules gave mean daily yield of 243.78 Wh versus 193.23Wh for a fixed panel (+25.91%), with the servo held stationary 55.3% of the time. Harvest exceeded the node's estimated 115.88 Wh/day load on all five days (2.1× on average; fixed panel 1.7×), supporting energy-autonomous 24/7 operation of the IoT melon hydroponic monitoring system.
Co-Authors Nurhayati Nurhayati Nurulazlina Ramli Raimundo Eider Figueredo Ruqayyah Hassan Labo