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All Journal Jurnal Sain Veteriner Jurnal Veteriner Jurnal Ilmiah Mahasiswa Veteriner Bulletin of Data Science Jurnal Ilmiah Ilmu-Ilmu Peternakan Jurnal Kedokteran Hewan The International Journal of Tropical Veterinary and Biomedical Research Buletin Pengabdian Jurnal Medika Veterinaria Peternakan Abdi Masyarakat (PETAMAS)
Muhammad Hanafiah
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Immunology & microbiology Medicine & Pharmacology Public Health Social Sciences Veterinary

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Journal : Bulletin of Data Science

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Penerapan Algoritma SHA-384 Pada Aplikasi Duplicate Video Scanner Hanafiah, Muhammad
Bulletin of Data Science Vol 2 No 2 (2023): February 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Cryptography is used to maintain the security of private information from anyone except those with the authority or secret keys to access encrypted information. However, with the rapid advancement of computer technology, challenges to information security are increasing. Video manipulation is one of the serious threats in the digital world today. Video manipulation is a common phenomenon where individuals can easily manipulate videos with harmful intent or to confuse others. One of the most dangerous types of video manipulation is the duplicate video scanner, in which a fake video is created to resemble the original video in many aspects, including color, shape, objects, and content, without significant changes from other parties. This can deceive many viewers and cause significant losses. In this research, the author proposes the use of the SHA-384 algorithm as a method to detect duplicate video scanners. This algorithm is used to generate a unique signature or hash from video data, which is then used to verify the authenticity of the video. The results of this research have great potential in addressing serious issues related to video manipulation. The ability to distinguish real videos from fake ones has a significant impact in various fields, including law, security, and information integrity. This research provides an effective solution to ensure video authenticity and can help combat the increasing fraud and manipulation in a complex digital environment.
Co-Authors Abd. Rasyid Syamsuri Adam S, Koji Al Amalia Sutriana arif gumilar Arman Sayuti Armia, Yasser Aulia Malik Fajar Aza Annisa Utami Dwinna Aliza Dwinna Aliza Emi Minarni Erdiansyah Rahmi Erdiansyah Rahmi Fadrial Karmil Farid Wajidi Farida Athaillah Farida Farida Farida Farida Hamdani Budiman Ilham Ilham Indra Wahyudi, Indra Ismail Ismail Joko Prastowo Juli Melia Maulida, Sri Mufti Kamaruddin Muhammad Hambal Muhammad Hambal Muhammad Jalalluddin Muhammad Nur Salim Nur Afriyanti Nuraini Latif Nurdianti - Nurul Hidayati Nuzul Asmilia Pratama, Said Mirza Rastina Rastina Rusli . Rusli Rusli Rusli Sulaiman Sembiring, Rinawati Sri Hartati Sugito Sugito Sugito Sugito Sukarni Sukarni t fadrial karmil Teuku Armansyah Teuku Reza Ferasyi Teuku Reza Ferasyi Widya Nanda Winaruddin Winaruddin Wisnu Nurcahyo Yudha Fahrimal Yundari, Yundari