IMPLEMENTATION OF IoT AND MAMDANI FUZZY LOGIC IN A GREENHOUSE DECISION SUPPORT SYSTEM
Keywords:
Decision Support System, Internet of Things, Mamdani Fuzzy Logic, Simple Additive Weighting, GreenhouseAbstract
Management of lettuce (Lactuca sativa L.) greenhouses at BUMDes Kasengan Village, Sumenep, has so far been manual, without standard instruments, so temperature, soil moisture, and light monitoring rely on worker estimates, risking delayed care responses. This study builds an IoT based Decision Support System (DSS) combining an ESP32 microcontroller with DS18B20 (temperature), capacitive soil moisture, and LDR (light) sensors to monitor conditions in real time, automate watering via Mamdani Fuzzy Logic, and generate care recommendations via Simple Additive Weighting (SAW) shown on a website. The system used the Waterfall model: requirement identification, system design, hardware assembly, software implementation, and testing. Sensor data is processed by the ESP32 and sent via Wi-Fi to Blynk Cloud and a MySQL database for real-time access on the web dashboard. Testing showed the DS18B20 sensor had an average deviation of +- 0.4 degree celsius, the soil moisture sensor below 5%, the relay responded within 1 second, and the 5V line stayed stable at 4.92 to 5.08V with the pump active. A three-day field test across 18 observation points showed SAW produced accurate watering decisions and recommendations for every observation, a 100% success rate exceeding the 85% target hypothesis. The system helps BUMDes Kasengan managers monitor conditions remotely, automate watering, and reduce reliance on manual supervisions.
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Akhlak, M. L. M., Saputra, M. A., Putranto, V. I., & Ridho, R. (2024). Simulasi sistem penyiram tanaman hias menggunakan kontrol logika fuzzy berbasis Internet of Things. Jurnal Transformasi (Informasi & Pengembangan Iptek), 20(1).
Aryawan, P. O. W., & Supriyanto. (2025). Perancangan sistem monitoring dan kontrol pada greenhouse dan plant factory berbasis Message Queuing Telemetry Transport [Undergraduate thesis]. Institut Pertanian Bogor.
Gitakarma, M. S., & Tjahyanti, L. P. A. S. (2024). Perbandingan kinerja sistem monitoring dan kontrol IoT berbasis logika fuzzy dengan kontrol manual pada greenhouse. Jurnal Komteks, 3(1).
Hutahaean, J., Nugroho, F., Abdullah, D., Kraugusteeliana, & Aini, Q. (2023). Sistem pendukung keputusan. Yayasan Kita Menulis.
Imran, F. R., Rahana, G., Mahda, F. H., & Sari, D. A. L. (2024). Sistem monitoring dan pengendalian suhu otomatis berbasis Internet of Things untuk greenhouse dengan algoritma fuzzy logic. Journal Electric Field, 1(2).
Kurniasari, A. A., Puspitasari, P. S. D., Perdanasari, L., Yuana, D. B. M., & Jumiatun, J. (2025). An intelligent fuzzy logic-controlled IoT system for efficient hydroponic plant monitoring and automation. Jurnal ELTIKOM, 9(1).
Liu, Y., Kelen, Y. P. K., & Risald. (2025). Sistem pendukung keputusan penentuan jenis tanaman produksi unggulan berbasis web menggunakan algoritma fuzzy TOPSIS. ZONAsi: Jurnal Sistem Informasi, 7(1).
Mahkota, L. C., & Kusriyanto, M. (2025). Sistem monitoring lingkungan berbasis IoT pada aplikasi smart farming berbasis Arduino menggunakan protokol MQTT. IJAI (Indonesian Journal of Applied Informatics), 10(1).
Marpaung, N. F., Rahmat, & Saleh, K. (2026). Sistem penentuan kebutuhan air tanaman menggunakan metode fuzzy Sugeno. JIIC: Jurnal Intelek Insan Cendikia, 3(1).
Muttaqi, B., Nurchim, & N., P. W. (2024). Penerapan logika fuzzy Mamdani dalam sistem penyiraman cerdas untuk pertanian. Generation Journal, 8(2).
Naufal, F., Riyanti, A., et al. (2023). Prototype sistem monitoring intensitas cahaya pada budidaya tanaman cabai rawit dengan konsep smart farming berbasis Internet of Things (IoT). SESSION, 2(1).
Nur, M. N. A., Irawan, A., Mulyawati, N. Z. D. L., & Rahman, Y. A. (2025). Perancangan sistem monitoring tanaman berbasis IoT dan fuzzy. Prosiding SNTE-FORTEI, 4(1).
Pamungkas, R., Ullah, A., Faizal, A., & Zarory, H. (2025). Sistem penyiraman pintar dan monitoring tanaman sawi otomatis berbasis ESP32 dan sensor kelembapan tanah menggunakan metode fuzzy Mamdani. Jurnal Al-Azhar Indonesia Seri Sains dan Teknologi, 10(2).
Purwiyanti, S., Murdika, U., P., N. P., & R., A. S. (2024). Automatic tomato plant watering system using fuzzy logic control with Telegram-based monitoring system. Jurnal Teknik Pertanian Lampung, 13(3).
Rahman, A. F., Malik, M., & Mansyur, S. (2024). Prototype sistem monitoring smart green house berbasis Internet of Things (IoT) pada tanaman selada. Jurnal Teknik Industri Manajemen dan Manufaktur (JTIM), 1(1).
Ramadhani, S., Ikhsan, & P., D. E. (2025). Pengontrolan suhu otomatis pada kandang ayam broiler berbasis Internet of Things dan bot Telegram. Jurnal Pustaka Robot Sister, 3(1).
Riskiawan, H. Y., Gupta, N., Setyohadi, D. P. S., Anwar, S., Kurniasari, A. A., Hariono, B., Firmansyah, M. H., Yogiswara, Y., Mansur, A. B. F., & Basor, A. H. (2024). Artificial intelligence enabled smart monitoring and controlling of IoT-green house. Arabian Journal for Science and Engineering, 49(3).
Sadali, M., Putra, Y. K., Kertawijaya, L., & Gunawan, I. (2024). Sistem monitoring dan kontrol otomatis pada greenhouse hidroponik. Prosiding SENATIB.
Setiawan, A. W., Amiroh, K., & Daely, P. T. (2024). Sistem pendukung keputusan untuk penyiraman otomatis tanaman anggur pada greenhouse menggunakan metode fuzzy [Undergraduate thesis]. Universitas Telkom Surabaya.
Setiawan, P. A., & Witanti, A. (2025). Klasifikasi kondisi greenhouse secara real-time menggunakan fuzzy Mamdani berbasis bot Telegram. JEKIN: Jurnal Teknik Informatika, 5(2).
Setyawan, D. Y., et al. (2024). Analisis perbandingan dan karakterisasi sensor kelembaban tanah untuk aplikasi pertanian cerdas. Jurnal Teknika, 18(1), 47-54.
Tundo, S., Setiawan, K., & Aula, R. F. (2024). Penerapan IoT dengan algoritma fuzzy dan mikrokontroler ESP32 dalam monitoring penyiraman. Jurnal Indonesia: Manajemen Informatika dan Komunikasi, 5(3).
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Copyright (c) 2026 Aditya Prayuda, Rizal Sapta Dwi Harjo, Arda Gusema Susilowati (Author)
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