Development of Automatic Oil Refueling System Model based on Internet of Things

Abstract

The current application of technology has played a large role in human activities, especially in industry. One of the technologies applied is an automatic filling and packaging system for cooking oil using a filling machine. The application of cooking oil packaging technology using modern machines is usually carried out in the large-scale cooking oil industry. However, the packaging for bulk cooking oil which is common in traditional markets that are classified as a small scale still uses the conventional method of measuring and packaging it. To improve the quality of bulk cooking oil sales and answer this problem, we need a tool that can fill the oil with an adjustable number of measures as needed and has high accuracy and can be run automatically. This research uses descriptive qualitative research methods, this type of qualitative descriptive research displays the results of the data as they are without any manipulation or other treatment processes. The overall results of the work system design of this tool discuss the results of the automatic oil filling system and the sending of oil expenditure data to the Antares ID webserver. The resulting delay value is still below the normal limit, which is around 1-2 seconds. The deviation that occurs is in the ratio 0.11 and the percent error is in the range of 0.2%.