IMPLEMENTASI FUZZY LOGIC METODE MAMDANI PADA SISTEM KONTROL PENYIRAM TANAMAN BAWANG MERAH OTOMATIS DI PRABUMULIH

Shallots (Allium cepa var. ascalonicum) require effective irrigation to grow optimally. This research presents an IoT-based automatic watering system using Mamdani fuzzy logic method as watering control. The system uses two inputs, namely soil moisture and air temperature, and one output in the form of a watering pump. Soil moisture testing was conducted in three conditions: dry (0%-50%), moist (50%-70%), and wet (70%-100%). In addition, the tests also involved air temperature measurements categorized as cold (0°C-20°C), normal (20°C-32°C), and hot (32°C-50°C). The results show that the ideal humidity is between 55% and 58%. If the humidity exceeds 60%, the pump turns off to prevent the soil from getting too wet, and if it drops below 55%, the pump turns on as the soil starts to dry. Air temperature measurements showed consistent fluctuations throughout the day with small differences between the RTD PT-100 and Thermohygro Meter. The highest temperature occurred at 13:00 and the lowest at 18:00. This data is important for environmental management and system operations.