PENENTUAN KUALITAS ROBUSTNESS PADA AUDIO WATERMARKING MENGGUNAKAN FAST FOURIER TRANSFORM (FFT) DAN SINGULAR VALUE DECOMPOSITION (SVD)

The development of internet technology makes it easy to access various information in digital format, one of which is audio data. The ease in processing digital data makes songs and music or other audio files easily manipulated and duplicated. Preventive efforts undertaken to overcome the copyright issues of a digital work is to insert digital data in the form of text or images into songs and music or other audio files that you want to protect, this effort is known as audio watermarking. In this research, an audio watermarking system is designed to safeguard the copyright of audio owners by inserting images into an audio file and extracting watermarked audio using FFT (Fast Fourier Transform) and SVD (Singular Value Decomposition) methods. Testing of watermarked audio is carried out without attack and also testing with attacks such as low pass filter, resampling, AWGN, and cropping. Based on the results, audio watermarking using the Fast Fourier Transform and Singular Value Decomposition methods already has a high level of robustness because it can produce SNR values of 0.1538 dB, PSNR 72.2132 dB, BER 0.0039 and SSIM 0.9999.