Abstract :
The Covid-19 pandemic that emerged in 2020 until now has not found a stopping point so that it affects the need for food stocks, considering that data from the Central Statistics Agency states that 56.7% of the population in Indonesia occupies urban areas. Agriculture is an important sector to support these needs, but in hydroponic agriculture farmers still use conventional methods in caring for plants so that if done one by one in the treatment it will require more energy. To answer these problems, a hydroponic monitoring and automation system was made with a rule base algorithm as a determinant of the condition of the nutrient solution in hydroponic plants so that growth can be well controlled. The level of nutrient solution in mustard plants was used as a system parameter with a range of 1050-1400 ppm. The system consists of NodeMCU ESP8266 and Arduino UNO as control system. The input section consists of a TDS sensor, a ds18b20 sensor and a DHT11 sensor, while for the actuator two pumps are used to drain water and nutrients. The results of data processing will be displayed on the website in the form of charts in real time. Based on the test results, the rule base algorithm implemented in the system is able to identify the condition of dissolved nutrients so that the two pumps work according to the rules set in the system with a success rate of 100% in 10 tests.