Fuzzy Logic-Based Decision Support System for Adaptive Plant Watering Volume in IoT Environments
DOI:
https://doi.org/10.62535/5nn07g67Keywords:
Smart Irrigation, Fuzzy Logic, Internet of Things (IoT), Mamdani Method, Precision AgricultureAbstract
Conventional irrigation systems often result in inefficient water use due to their inability to adapt to dynamic and uncertain environmental conditions. This study aims to design and simulate an adaptive smart irrigation system using Mamdani Fuzzy Logic Controller (FLC) in an Internet of Things (IoT) architecture. This methodology integrates four environmental parameters, namely Soil Moisture, Air Temperature, Air Humidity, and Light Intensity to calculate the appropriate watering duration, effectively reducing the risk of false positives associated with traditional two-input systems. The mathematical model was verified and simulated using MATLAB Fuzzy Logic Toolbox, with the Centroid defuzzification method. The results show that in extreme testing scenarios, the system successfully calculated the appropriate watering duration of 18 seconds. This analytical calculation perfectly aligns with the MATLAB simulation, demonstrating 100% accuracy with no error deviation. In conclusion, the proposed four-input Mamdani Fuzzy Logic controller effectively reduces data ambiguity and optimizes agricultural water consumption, establishing a solid mathematical foundation for future IoT hardware implementation in precision agriculture.
References
Adiwilaga, A., Firmansyah, R. M., Irzia, R., & Muthmainah, F. (2024). Prototype Design of Automatic Irrigation System for Precision Agriculture Application Using Mamdani Fuzzy Logic Controller. Journal of Computer Engineering, Electronics and Information Technology (COELITE), 3(2), 77–88. https://doi.org/10.17509/coelite.v3i2.76025
Adzimi, S. N., Robby Priaji Sakti, Aldiyansyah, Muhammad Ifan Al Aziz, Muhammad Fakhri Alauddin, Jimmy Mohamad Alpino Anak Gumay, … Nanda Octavia. (2024). Implementation of Fuzzy Logic to Determine the Doneness of Beef Steak. Journal of Applied Science, Technology & Humanities, 1(4), 329–341. https://doi.org/10.62535/93z2df58
Alamsyah, R., Ryansyah, E., Permana, A. Y., & Mufidah, R. (2024). Sistem Penyiraman Tanaman Otomatis Menggunakan Logika Fuzzy Dengan Teknologi Internet Of Things Berbasis Esp8266 Dan Aplikasi Blynk. Jurnal Informatika Dan Teknik Elektro Terapan, 12(2). https://doi.org/10.23960/jitet.v12i2.4007
Anindita, M. R., Shiddiqi, A. M., Suadi, W., Soelaiman, R., Lili, S., & Adillion, I. G. (2024). An Iot-Based Automated Watering System For Plants Using Integrated Fuzzy Logic And Telegram Bot. JUTI: Jurnal Ilmiah Teknologi Informasi, 22(2), 116–124.
Ardyanti, A. A. A. P., Putra, I. G. J. E., Purnama, I. N., & Jaya, A. M. A. P. (2021). Penyiraman Tanaman Otomatis Dengan Metode Fuzzy Mamdani. Jurnal Teknologi Informasi Dan Komputer, 7(1), 106–112.
Arief, Z., Zarory, H., & Mursyitah, D. (2024). Rancang bangun sistem pemantauan dan penyiraman pintar tanaman cabai pada greenhouse menggunakan Fuzzy Mamdani berbasis Blynk IoT. AITI: Jurnal Teknologi Informasi, 21(2), 271–284.
Arini, F. R., & Syahputra, M. R. (2024). Implementasi Fuzzy Logic Controller System Metode Mamdani dan Metode Sugeno dalam Peningkatan Efisiensi dan Kinerja Pencucian pada Smart Washing Machine. Jurnal Matematika Dan Ilmu Pengelatuan Alam, 2(2), 325–345. https://doi.org/10.59581/konstanta-widyakarya.v2i2.3577
Ashari, K., & Mujianto, A. H. (2025). Implementasi Iot Dan Fuzzy Mamdani Untuk Pengendalian Ph Dan Nutrisi Dalam Pertanian Hidroponik Berbasis Sistem Otomatis. Jurnal Sains Student Research, 3(5), 306–317. https://doi.org/https://doi.org/10.61722/jssr.v3i5.5586
Asysyauqi, H., Ferdi Andriansyah, M., Ulla, L. N., & Sucipto, A. (2025). Sistem Keamanan Pintu Otomatis Berbasis IoT dengan Teknologi RFID dan Aplikasi Mobile Menggunakan Metode Fuzzy Mamdani. Jurnal Informatika Dan Sains Teknologi, 3(2), 42–50. https://doi.org/10.62951/modem.v3i2.405
Elriyan, D. I., Chaidir, A. R., & Anam, K. (2025). Pengendalian Kualitas Air Minum Menggunakan Fuzzy Mamdani Berbasis Internet of Things. Jurnal Rekayasa Dan Teknologi Elektro , 19(1), 39–45.
Garingging, K. F. S., Khomariah, Astanti, A., Ulfa, A., Sembiring, D. J., & Ginting, D. P. B. (2025). Implementasi Logika Fuzzy dengan Metode Mamdani untuk Menghitung Durasi Penyiraman Air Otomatis. Journal Global Tecnology Computer, 4(3), 260–267. https://doi.org/10.47065/jogtc.v4i3.8335
Handoyo, J., Febrianto, E., Tinggi, S., & Ronggolawe, T. (2025). Fuzzy-Adaptive Smart Irrigation: Sistem Otomatis Penyiraman Tanaman Berbasis IoT dengan Prediksi Kebutuhan Air Real-Time. In Sains Teknik Elektro (Vol. 6). Retrieved from http://jurnal.bsi.ac.id/index.php/insantek
Hidayat, A. P., Santosa, S. H., Siskandar, R., & Gilang Baskoro, R. (2021). Evaluation of Chicken Eggs Supply With Fuzzy AHP Approach Through Development of Safea Software. Jurnal Logistik Indonesia, 5(2), 104–110. Retrieved from http://ojs.stiami.ac.id
Isnaeni, A., Setyowati, I., & Fatkhurrozi, B. (2025). Penerapan Logika Fuzzy Mamdani pada Sistem Kendali dan Monitoring Listrik Berbasis IoT. Edu Elektrika Journal, 13(2), 16–29. Retrieved from https://journal.unnes.ac.id/journals/eduel/index
Liu, X., Zhao, Z., & Rezaeipanah, A. (2025). Intelligent and automatic irrigation system based on internet of things using fuzzy control technology. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-98137-2
Muttaqi, B., Nurchim, & Ningsih, P. W. (2024). Penerapan Logika Fuzzy Mamdani dalam Sistem Penyiraman Cerdas untuk Pertanian. Generation Journal, 8(2), 111–120.
Neugebauer, M., Akdeniz, C., Demir, V., & Yurdem, H. (2023). Fuzzy logic control for watering system. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-45203-2
Nurcahyono, B., Mujianto, A. H., Mufarrrihah, I., & Ali, M. (2025). Implementasi Teknologi Penyiraman Tanaman Tembakau Otomatis Berbasis Internet of Things (IoT) Dengan Metode Fuzzy Mamdani MAMDANI. Jurnal Ilmiah Inovasi Teknologi Informasi, 9(2), 228–237. https://doi.org/10.33752/inovate.v9i2.8909
Pamungkas, R., Ullah, A., Faizal, A., & Zarory, H. (2025). Sistem Penyiraman Pintar dan Monitoring Tanaman Sawi Otomatis Berbasis Esp 32 dan Sensor Kelembapan Tanah Menggunakan Metode Fuzzy Mamdani. Jurnal Al-Azhar Indonesia Seri Sains Dan Teknologi, 10(2), 143. https://doi.org/10.36722/sst.v10i2.3687
Rahmadaniar, I., Bachtiar, M. K., Rachmat, R. D., Darmawan, D. M., Nurfadillah, F., & Octavia, N. (2024). Application of Fuzzy Logic in Air Conditioner Temperature Control in Rooms with Partitions in Boarding Houses. Journal of Applied Science, Technology & Humanities, 1(5), 464–476. https://doi.org/10.62535/4bra8966
Rinaldi, Oktarina, Y., & Dewi, T. (2022). Implementasi Fuzzy Logic dalam Mengendalikan Input dan Output pada Penyiraman dan Pemupukan Tanaman Otomatis Berbasi IoT. Journal of Applied Smart Electrical Network and Systems (JASENS), 3(2), 65–73. Retrieved from http://journal.isas.or.id/index.php/JASENS
Santosa, S. H., Hidayat, A. P., & Siskandar, R. (2021). Safea application design on determining the optimal order quantity of chicken eggs based on fuzzy logic. IAES International Journal of Artificial Intelligence, 10(4), 858–871. https://doi.org/10.11591/ijai.v10.i4.pp858-871
Santosa, S. H., Sulaeman, S., Hidayat, A. P., & Ardani, I. (2020). Fuzzy Logic Approach to Determine the Optimum Nugget Production Capacity. Jurnal Ilmiah Teknik Industri, 19(1), 70–83. https://doi.org/10.23917/jiti.v19i1.10295
Setiawan, K., & Aula, R. F. (2024). Penerapan IoT dengan Algoritma Fuzzy dan Mikrokontroler ESP32 dalam Monitoring Penyiraman. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi (JIMIK), 5(3). Retrieved from https://journal.stmiki.ac.id
Silalahi, L. M., Simanjuntak, I. U. V., Maharani, M., & Ramdani, R. A. P. (2024). Sistem Kendali Fuzzy Mamdani Berbasis IoT untuk Optimalisasi Tangki Air. Jurnal Pendidikan Dan Teknologi Indonesia, 4(6), 233–245. https://doi.org/10.52436/1.jpti.458
Siskandar, R., Santosa, S. H., Wiyoto, W., Kusumah, B. R., & Hidayat, A. P. (2022). Control and Automation: Insmoaf (Integrated Smart Modern Agriculture and Fisheries) on The Greenhouse Model. Jurnal Ilmu Pertanian Indonesia, 27(1). https://doi.org/10.18343/jipi.27.1.141
Septima, R. (2023). Sistem Inferensi Fuzzy Dengan Metode Mamdani (I. Zulfa, Ed.). Purbalingga: Eureka Media Aksara.
Rozie, F., Anhar, M., & Irianto, S. P. (2025). Fuzzy Logic-Based Water Optimization for IoT-Driven Solar Irrigation Using Soil-Air Humidity Differential in Chili Cultivation. Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (ICAST-ES 2025), 490–497. https://doi.org/10.2991/978-94-6463-926-1_55
Nur, M. N. A., Irawan, A., Mulyawati, N. Z. D. L., & Rahman, Y. A. (2025). Perancangan Sistem Monitoring Tanaman Berbasis IoT dan Fuzzy. Seminar Nasional Teknik Elektro Forum Pendidikan Tinggi Teknik Elektro Indonesia (SNTE-FORTEI), 360–367.
Hoque, M. J., Islam, M. S., & Khaliluzzaman, M. (2023). A Fuzzy Logic- and Internet of Things-Based Smart Irrigation System. Engineering Proceedings, 58(1), 1–11. https://doi.org/10.3390/ecsa-10-16243
