Abstract
Objective: The purpose of this study was to maintain the nutritional water temperature in the range of 25-27 °C for Lollo Verde lettuce (Lactuca sativa L.).
 Methods: The method was the Fuzzy Logic Mamdani (FLM) with two inputs, i.e. real time clock and temperature. The output was crisp speed PWM with the center of area method.
 Results: The results showed that Fuzzy logic was succeeded in reducing water temperature in the NFT system from 28-32 °C to 26-27 °C, with an average delta of 3.5 °C. Fuzzy logic maintained the nutrient water temperature in the Lollo Verde lettuce with an average of 26.57±0.5 °C. Water temperature affected the yield of Lollo Verde lettuce.
 Conclusion: The yield of NFT FLM system was better compared to the conventional NFT system.
Highlights
Hydroponics is an effective way to preserve water and planting space [1]
The Nutrient Film Technique (NFT) hydroponic system consists of 3 pipes filled with 10 pots that have input-fan and exhaust pipe with exhaust-fan of water flow
The Lollo Verde lettuces were planted on the rockwool slave with 3 hills per slave and implementing the NFT system
Summary
The results showed that Fuzzy logic was succeeded in reducing water temperature in the NFT system from 28-32 °C to 26-27 °C, with an average delta of 3.5 °C. Fuzzy logic maintained the nutrient water temperature in the Lollo Verde lettuce with an average of 26.57±0.5 °C. Water temperature affected the yield of Lollo Verde lettuce
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