SISTEM MONITORING DAN KONTROL TANAMAN TOMAT PADA GREENHOUSE BERBASIS IOT DAN ANDROID MENGGUNAKAN METODE FUZZY SUGENO (STUDI KASUS NAINA FARM SUKABUMI)

Technological developments will continue to grow very fast in progress in all fields and can facilitate human work, one of which is in the agricultural sector. One of these technological advancements is in control and automation systems. The weather in Indonesia is often erratic, causing unhealthy plants and even causing crop failure. This makes farmers use several ways to make their crops survive even though the weather often changes, one of which is by using greenhouses. The problem with Greenhouse Naina Farm is that there is no tool to monitor soil pH, temperature and humidity in real time. Apart from that, watering the plants is still manual, so it takes quite a long time for the watering process and the distribution of nutrients is uneven so that the tomato plants do not grow properly. well, apart from that, farmers have a little difficulty in checking the water reservoirs because they are still filled manually. Based on these problems, the authors carried out research at Naina Farm to provide solutions in solving existing problems, by creating a monitoring and control system for tomato plants in Greenhouses based on IoT and Android. This monitoring design uses a prototype method for system development which will be designed with the stages of analysis, system design, implementation, testing, evaluation, use of the system and the Fuzzy Sugeno logic method made to determine the rules for the duration of watering on apple tomato plants with the stages of fuzzification, implication and defuzzification. To facilitate farmers in watering plants and providing fertilizers and nutrients. From the results of system testing, the error obtained from the Soil Moisture sensor is 0.03% with a difference of 2.4, the error from the ultrasonic sensor is 0.08% with a difference of 9.6, and the error from the DHT11 sensor (temperature sensor ) of 0.036% with a difference of 0.74. The average error resulting from the comparison of the duration of watering between matlab and digital clocks is 0.844%.

Keywords : Greenhouse, Tomato Plant, Internet of Things, Prototype, and Sugeno Fuzzy logic