Multi sensor application-based for measuring the quality of human urine on first-void urine

Urine can be used to diagnose diabetes in a non-invasively manner. Examination of blood sugar levels as an indicator diabetics is currently carried out using invasive methods. However, most people are not comfortable with the methods used. Early diagnosis non-invasive very important continue developed, including by checking quality urine. This study aims create urine detection based on pH, turbidity, and ammonia concentration multi-sensor: pH4502C measure pH level, SEN0189 MQ137 concentration. samples 15 subjects were collected early morning before doing any activities. For experiment, all sensors read analog signals which received Arduino Nano micro-controller converted into digital values form scale, Nephelometric Turbidity Units (NTU), parts per million (ppm). These displayed LCD display. Theexperiments showed that measured sensor system was compared calculated from manual calculation equation. comparisons know error percentage. The average value measurement obtained 5.62, turbidity 0.59 NTU, 0.66 ppm. accuracy percentages sensor, 97.69%, 98.32%, 97.09%. All proved capable human results this became basis for initial non method.