The Creation Of Data Pattern Of Kerosene-mixed Gasoline By Utilizing Gas Sensor And Fast Fourier Transform Method To Detect The Purity Of Gasoline

The research regarding the creation of data pattern of kerosene-mixed gasoline by using gas sensor has been conducted through the utilization of fast fourier transform (FFT) method. This research is aimed to create data pattern of both pure and kerosene-mixed gasoline. The composition of kerosene in gasoline is varied by 10%, 20%, 30%, 40%, and 50%. The FFT method test is conducted to create pattern from the detected gas. The sensor of TGS 2620 Gas has low sensitivity towards the change of steam/vapor of kerosene-mixed gasoline. The data sample of pure gasoline and kerosene-mixed gasoline have dominant frequency values that frequently occur in 17-31 frequency range, while the entire random samples that used are identified to have been mixed with kerosene.