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All Journal Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) Jurnal Ilmiah Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Teknik UISU (SEMNASTEK)
Sony Bahagia Sinaga
AMIK STIEKOM Sumatera Utara
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health

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Journal : INFOKUM

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Implementation Of Watermarking Using The Singular Value Decomposition Method Satria Yudha Prayogi; Sony Bahagia Sinaga
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Technological developments have made it easy for the distribution of digital data (such as text, images, audio, and video) both with disk media and through internet media. On the other hand, this convenience can cause problems with copyright protection. One technique to overcome this problem is to insert a sign (watermark) as proof of ownership into digital data known as watermarking. Watermarks can be inserted into the spatial domain or the frequency domain. In general, watermarking in the frequency domain is more resistant to attacks than watermarking in the spatial domain. The watermarking method used in this study uses a transformation domain, namely Singular Value Decomposition (SVD). Tests used to provide a blurring effect). Where the technique using Singular Value Decomposition (SVD) is generally inserted into singular values based on the consideration that the singular value will not experience significant changes if there is a slight disturbance in the image.
Co-Authors M. Iqbal Panjaitan Matias Julius Fika Sirait Pandi Barita Nauli Simangunsong Paska Marto Hasugian Satria Yudha Prayogi Yasir Hasan