Intelligent Hydroponic Control System with IoT and Fuzzy Logic on Kale Plants

Authors

  • Khairunnissa Zahran Ansyafa Sekolah Vokasi IPB University Author
  • Yana Nurrohman Sekolah Vokasi IPB University Author
  • Muhamad Al Habsy Sekolah Vokasi IPB University Author
  • Muhammad Fakhri Alauddin Sekolah Vokasi IPB University Author
  • Mahatmadi Ariq Mayangkara Sekolah Vokasi IPB University Author
  • Hafiz Agi Alfasih Sekolah Vokasi IPB University Author
  • Daryn Ramadhani Az Zahra Sekolah Vokasi IPB University Author
  • Aqim Try Kurnia Sekolah Vokasi IPB University Author
  • Arda Dwiyana Sekolah Vokasi IPB University Author
  • Dr. Inna Novianty S.Si., M.Si. IPB University Author

DOI:

https://doi.org/10.62535/5w3gk317

Keywords:

Hidroponik, Internet of Things, Kale Plants, PPM ( Part Per Million), Sensor TDS

Abstract

The research in our project illustrates the application of hydroponic technology in Indonesia with a focus on nutrient control systems using the Internet of Things (IoT) and fuzzy logic for kale plants. Hydroponic methods such as Deep Flow Technic (DFT) are used to optimize plant growth in confined spaces, utilizing nutrient solutions that are controlled by pH and PPM. The system supports the efficiency and effectiveness of modern agriculture by monitoring environmental conditions such as temperature, humidity, and TDS values. This study shows that the system developed has an average error of 11.755% with an accuracy level of 88.65%. In addition, the system also managed to control the output of the nutrient pump with an error of 1.12% and an accuracy of 98.89%, as well as a water faucet with an average error of 0.47% and an accuracy of 99.75%. These results show the potential of IoT technology applications in increasing the productivity and sustainability of hydroponic agriculture in the future

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Published

2025-03-22

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Articles

How to Cite

Intelligent Hydroponic Control System with IoT and Fuzzy Logic on Kale Plants. (2025). Journal of Applied Science, Technology & Humanities, 2(2), 199-222. https://doi.org/10.62535/5w3gk317