Analysis of the Use of Digital Ultrasonic Based on Fuzzy Inference System to Get More Precise Water Discharge Measurement Results

Water discharge measurement commonly used in Indonesia is based on a wheeled meter system. The management of water discharge to each house is regulated by the Regional Water Company (RDWC). However, the wheel meter system not only detects liquids, but also air. Therefore, if the air passes, the meter also rotates. This research aims to measure water discharge in RDWC in Indonesia by using ultrasonic. The use of ultrasonic is complemented by the use of Fuzzy Inference System (FIS). The initial stage of this research is to install an ultrasonic sensor device. This sensor is equipped with a display screen and data transmission system. Therefore, RDWC officers and customers can easily monitor water. In addition to using microcontroller media, artificial intelligence technology is also used to make input and output data more precise. The main water measurement is done with the Ultrasonic Echosounder method. This research compares three water measurement systems, namely manual wheel, ultrasonic-based only, and ultrasonic-based with FIS. The comparison is done by measuring the water discharge every minute for nine minutes, and then the difference is indicated by the error value in the form of a percentage. The speed or flow of water is measured before the discharge measurement. The results have showed a considerable difference between the manual and ultrasonic methods of 6.08%. In contrast, a minor error (3.74%) has been observed in the comparison between ultrasonic-FIS and manual methods. In addition, the results of this study also illustrate the difference between the ultrasonic-FIS and FIS-only methods. Overall, these findings provide additional information regarding the applicability of ultrasonic-FIS and non-FIS methods compared to manual methods for water discharge measurement in Indonesia.