Analisa Metode Mash-1 Untuk Mendeteksi Orisinalitas Citra Digital


Authors

  • Hotmian Gultom Universitas Budi Darma, Medan, Indonesia
  • Lince Tomoria Sianturi Universitas Budi Darma, Medan, Indonesia
  • Eferoni Ndruru Universitas Budi Darma, Medan, Indonesia

DOI:

https://doi.org/10.47065/bulletincsr.v1i2.92

Keywords:

Originality; Image; MASH-1 Method

Abstract

The development of digital images is now very fast. Image data processing in digital images makes images easy to create or manipulate easily, without even leaving visual clues to the user. The ease of creating and changing an image can damage the credibility of the original image in various aspects. Small changes of pixels do not make image content detectable to the human eye. This is described in pixel like width and length in the image. the basis of this research to detect the authenticity of a digital image. This study will analyze the authenticity of the image and manipulation. This research is expected to produce and show good results in the form of evidence in detecting objects in the image so that it can help the public in determining the authenticity and manipulation of images.

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References

S. S. T.Sutoyo,S.Si., M.Kom., Edy Mulyono, Teori Pengolahan Citra Digital. C.V Andi Offset, 2009.

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V. Antipkin, “Smashing MASH-1 *,” pp. 1–10.

M. Fauzy, R. K. W Saleh, and I. Asror, “Penerapan metode association rule menggunakan algoritma apriori pada simulasi prediksi hujan wilayah kota bandung,” J. Ilm. Teknol. Inf. Terap., vol. 2, No.2, no. 2, pp. 221–227, 2016.


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ARTICLE HISTORY

Published: 2021-04-30

Abstract View: 199 times
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How to Cite

Gultom, H., Sianturi, L. T., & Ndruru, E. (2021). Analisa Metode Mash-1 Untuk Mendeteksi Orisinalitas Citra Digital. Bulletin of Computer Science Research, 1(2), 42-47. https://doi.org/10.47065/bulletincsr.v1i2.92

Issue

Vol. 1 No. 2 (2021): April 2021

Page: 42-47

Section

Articles

Copyright (c) 2021 Hotmian Gultom, Lince Tomoria Sianturi, Eferoni Ndruru

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