Optimasi Sistem Penyembunyian Data pada Audio menggunakan Sub-band Stasioner dan Manipulasi Rata-rata Statistik

LEDYA NOVAMIZANTI, GELAR BUDIMAN, BHISMA ADI WIBOWO

Sari


ABSTRAK

Kasus pelanggaran hak cipta musik atau lagu menjadi masalah dan mendapat perhatian serius oleh industri musik di Indonesia. Teknik audio watermarking merupakan salah satu solusi untuk melindungi hak cipta audio digital dari tindakan ilegal dengan cara menyembunyikan watermark berupa identitas pemilik ke dalam audio tersebut. Pada penelitian ini, audio host diubah menjadi matriks 1-dimensi untuk proses framing. Selanjutnya Stationary Wavelet Transform (SWT) digunakan untuk mendapatkan sub- band stasioner terpilih yang akan disisipkan watermark. Metode Statistical Mean Manipulation (SMM) akan menghitung rata-rata host audio dalam satu frame, dan dilakukan proses penyisipan bit. Optimasi dilakukan dengan melakukan evaluasi parameter yang menghasilkan BER paling tinggi setelah sistem diberikan serangan. Hasil dari optimasi diperoleh suatu sistem audio watermarking yang kuat dan tahan terhadap gangguan signal, dengan rata-rata BER 0.113, SNR 31 dB, ODG -0.6, dan MOS 4.6.

Kata kunci: audio watermarking, SWT, SMM, optimasi


ABSTRACT

The case of copyright infringement of music or song becomes a serious problem in Indonesia. Audio watermarking technique is one solution to protect the music copyright of digital audio from illegal acts by hidding the watermark in the form owner's identity into the audio. The workings of audio watermarking is to embed the watermark in the form owner's identity into the audio. In this study, the audio host is converted into a 1-dimensional matrix for the framing process. Furthermore Stationary Wavelet Transform (SWT) used to obtain stationary sub-bands selected to be inserted watermark. Statistical methods Mean Manipulation (SMM) will calculate the average host audio in one frame, and do bits insertion process. Optimization is done by evaluating the parameters that produce the highest BER after the system is given an attack. The results of the optimization obtained an audio watermarking system that is robust and resistant to signal interference, with the average BER 0.113, SNR 31 dB, ODG -0.6, and MOS 4.6.

Keywords: audio watermarking, SWT, SMM, optimization


Kata Kunci


audio watermarking, SWT, SMM, optimasi

Teks Lengkap:

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Referensi


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DOI: https://doi.org/10.26760/elkomika.v6i2.165

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