Fast Fourier Transform for Guitar Tuner Synchronization

To produce appropriate chord harmonies on the guitar, tuning or tuning the strings is required. However, most guitar learners perform tuning manually based on hearing. This will certainly take a long time because, in the tuning process, the user must turn the string knob repeatedly to get a harmonious and precise tone. Although there are currently many guitars tuning applications on Android, in the tuning process, users must turn the string knob manually. This research aims to create a tool called Learn Guitar Chords to perform the tuning process automatically, and the results are fast and accurate according to the frequency of standard guitar string tones using the Fast Fourier Transform (FFT) algorithm. FFT can convert signals from the time domain into the frequency domain, a series of numbers in the time domain f(x) is converted into the frequency domain f(u). Considering the test results using the black box testing method that has been carried out, it can be said that the Fast Fourier Transform-based guitar tuning synchronization design application on Android can obtain the frequency of user input properly. In addition, accuracy testing was also carried out by testing the tuning process by comparing it with 2 applications, namely Absolute Guitar and Guitar Tuner. The results obtained from the application comparison prove that the accuracy of the tuning process in the Learn Guitar Chords application is very good because it can produce the same results as other applications. Although the equal temperament scale is one of the most popular tuning techniques for stringed instruments, other techniques should also be considered because it is used in various musical instruments.