AMANDA, SHEILLA (2026) PERANCANGAN SMART ACTUATOR CONTROL BERBASIS FUZZY LOGIC PADA SISTEM GREEN HOUSE CABAI. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
Conventional plant watering systems are often carried out manually without considering real environmental conditions, which can lead to insufficient watering or excessive watering (overwatering) that may negatively affect plant growth. This research aims to design and develop an intelligent automatic irrigation system based on the Internet of Things (IoT) using the Fuzzy Tsukamoto method as a decision-making approach. The system employs an Arduino Mega 2560 as the main controller, receiving input data from a DHT11 temperature sensor, a soil moisture sensor, and a pH-4502C sensor. The Fuzzy Tsukamoto method is applied to determine the watering duration precisely based on detected temperature and soil moisture parameters, ensuring that plants receive an optimal amount of water according to their needs. Based on the testing results, the system demonstrates highly stable performance with an accuracy rate of 100% in matching manual mathematical calculations with the watering duration output generated by the program. In addition, the system includes a pH safety feature implemented before the watering process begins, so irrigation is only performed when the soil pH level is within a safe range for plant growth. All sensor readings and irrigation activity history can be monitored in real-time through a Web Dashboard, allowing users to supervise the system efficiently and conveniently. Keywords: Smart Watering, Fuzzy Tsukamoto, IoT, Website. Sistem penyiraman tanaman konvensional seringkali dilakukan secara manual tanpa mempertimbangkan kondisi riil lingkungan, sehingga berisiko menyebabkan kekurangan air maupun kelebihan air (overwatering) yang dapat mengganggu pertumbuhan tanaman. Penelitian ini bertujuan untuk merancang dan membangun sistem penyiraman otomatis cerdas berbasis Internet of Things (IoT) dengan menerapkan metode Fuzzy Tsukamoto sebagai pengambil keputusan. Sistem ini menggunakan Arduino Mega 2560 sebagai kontroler utama yang menerima input dari sensor suhu DHT11, sensor kelembaban tanah, serta sensor pH-4502C. Metode Fuzzy Tsukamoto digunakan untuk menentukan durasi penyiraman secara presisi berdasarkan parameter suhu dan kelembaban yang terdeteksi, sehingga kebutuhan air tanaman dapat terpenuhi secara optimal. Berdasarkan hasil pengujian, sistem menunjukkan performa yang sangat stabil dengan tingkat akurasi sebesar 100% dalam mencocokkan hasil perhitungan matematis manual dengan output durasi penyiraman yang dihasilkan oleh program. Selain itu, sistem dilengkapi dengan fitur keamanan pH yang diterapkan sebelum proses penyiraman dimulai, sehingga penyiraman hanya akan dilakukan apabila kondisi pH tanah berada dalam batas aman bagi tanaman. Seluruh data pembacaan sensor serta riwayat aktivitas penyiraman dapat dipantau secara real-time melalui Web Dashboard, sehingga pengguna dapat melakukan monitoring secara mudah dan efisien.. Kata Kunci : Smart Watering, Fuzzy Tsukamoto, IoT, Website
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