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Nutrient Film Technique (NFT) is one of hydroponic plant cultivation models. Most of hydroponic farmers are using NFT model to raise the productivity of crops. NFT hydroponic farmers usually use more than one hydroponic table in order to fulfill market needs. Harvest failures can happen when farmers do not have suficient information on monitoring and controlling the nutrition solution concentration. This can be overcome with the existence of monitoring and controlling system of nutrition solution concentration. This paper aims to build and examine system reliability using two NFT hydroponic tables based on wireless sensor network. Each table is installed with monitoring and controlling of nutrition solution concentration devices which transmit the data to server through wireless sensor network. The result shows that electrical conductivity meter which is used to read nutrition solution concentration has 3.92% of error rate. Node 2 has faster threshold data transmission than node 1, with 34.68 second of node 2 delay and 40.01 second of node 1 delay. Node 1 has better accuracy of nutrition solution concentration control for 96.12% than node 2 which has 92.79% nutrition solution concentration accuracy.

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Hydroponics is the cultivation of plants that use water as a planting medium without using soil. One of the simplest hydroponics is Deep Water Culture (DWC). DWC is a hydroponic technique that allows plant roots to always be submerged in water containing nutrients. The purpose of the application of controlling the level of hydroponic nutrient solution in the type of Deep Water Culture (DWC) in the box is to ensure that the roots of the plant are always submerged in nutrient solution so that the nutrients are still fulfilled. The results obtained from controlling the level of hydroponic nutrient solution in the type of Deep Water Culture (DWC) in the box is when the level of nutrient solution is less than the specified threshold then the 12VDC pump relay will live to drain the source water to the nutrient solution reservoir. The HC-SR04 sensor is used for reading the level of nutrient solution, so it has an effect on determining the pump life time. The HC-SR04 sensor has a reading error of 0.87%. The duration of the pump life is determined based on the linear regression equation. Controlling the level of nutrient solution based on linear regression linear calculation has a good accuracy of 88.6%.

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