Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Applied Science, Technology & Humanities
Bagus Priwendy Simangunsong
IPB University
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
DESIGN AND IMPLEMENTATION OF AN ARDUINO BASED AUTOMATED NUTRIENT CONTROL SYSTEM FOR HYDROPONIC TOMATO CULTIVATION USING MAMDANI FUZZY LOGIC Bagus Priwendy Simangunsong; Althof Zufar Musyaffa; Muhammad Faris Al Fajri; Gilang Ramadhan; M Aqil Fazli Y
Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 3 (2026): June 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/b8zsjx97

Abstract

Achieving optimal growth and yield in hydroponic tomato farming demands strict control over nutrient composition and environmental factors. To support efficient physiological functions such as photosynthesis, transpiration, and nutrient uptake key parameters including nutrient solution pH, ambient temperature, and water levels must remain within specific thresholds. Relying on manual control frequently leads to delayed responses against environmental shifts, causing inconsistent plant performance. Consequently, this research focuses on developing an automated nutrient control system tailored for hydroponic tomatoes, leveraging Mamdani Fuzzy Logic embedded in an Arduino microcontroller. Input data from pH, temperature, water level, and light intensity sensors undergoes fuzzification, rule-based inference, and centroid defuzzification. Based on these processes, the system generates control signals to adjust fan speeds and solenoid valve durations, ensuring environmental stability. Experimental findings indicate that the proposed system adapts effectively to parameter variations, offering smoother control than traditional threshold-based methods. Ultimately, this Mamdani fuzzy-based approach significantly stabilizes the hydroponic environment while minimizing the need for manual intervention.
Co-Authors Althof Zufar Musyaffa Gilang Ramadhan M Aqil Fazli Y Muhammad Faris Al Fajri