Application Design of Fraud Detection on Refueling at the Gas Station

The objective of this paper is to design applications that can be used to detect fraud committed by gas station management. The design was developed based on the Product Design and Development methods. There are seven stages in developing a product. However, in this paper only analysis until the fourth stage is presented, namely choosing the concept of the product to be developed. Input data as a basis for analyzing consumer needs was obtained through questionnaires to 300 respondents. The result is that the majority of consumers are not aware of the fraudulent action that is supported by the absence of an evidence methods that can be carried out by consumers. According to the results, the application called MAITEC is designed based on android systems with the aim of comparing the amount of fuel filled into the tank with the data written on the purchase note. This application is developed with Waterfall Model based on consumer needs analysis and target specifications that were able to identify three types of fuels, namely Premium, Pertalite, and Pertamax.