IMPLEMENTASI SISTEM KENDALI POMPA OTOMATIS MENGGUNAKAN FUZZY LOGIC SUGENO PADA PENYIRAMAN TANAMAN BAWANG MERAH DI KELOMPOK WANITA TANI KEMUNING

Onion plants require consistent watering to meet their nutritional needs. Inconsistent and manual watering is often inefficient, requires a lot of labor, and can inhibit growth and reduce yields. This automatic onion watering system uses the Sugeno fuzzy logic method because the Sugeno fuzzy logic method is very accurate in making decisions. There are three main conditions that determine the watering of shallot plants based on soil moisture and temperature measurements. The results obtained in this study were that in the first condition, soil moisture was recorded at 34% with a temperature of 29°C, so the water pump was activated for 30 seconds to maintain optimal soil moisture. In the second condition, soil moisture increased sharply to 341% with a temperature of 34°C, so the water pump was active for 48 seconds to reduce excess moisture. In the third condition, soil moisture reached 639% with a temperature of 33°C, and the water pump was activated for 20 seconds to overcome soil conditions that were too wet. Through the use of the Sugeno Fuzzy Logic method, this system is able to respond to changes in environmental conditions quickly and efficiently, ensuring that shallot plants receive the appropriate watering for optimal growth.