Pengukuran Kualitas Air Irigasi Menggunakan Metode Fuzzy Inference System

Abstract

an integrated IoT sensor will be designed. In water quality measurement technology which is still conventional, there are often obstacles in collecting data from quality, as well as dependence on human labor in operating these conventional tools. This becomes important to develop, considering water quality is an important factor in the development and productivity of a plant. With the integrated IoT sensor system, it can make it easier to measure field data, and provide a more effective water quality measurement system, because it can be done at long distances, and without cable intermediaries. Other reasons for using IoTintegrated sensor technology include flexibility in remote communication from the point of location of the sensor and continuous improvement in overall accuracy (real-time). In this research, the application of the irrigation water quality measurement system uses the fuzzy inference system method which produces an accuracy value of 100%. Keywords: IoT, water quality, plant development and productivity, integrated sensor system