M.Rizqi dhiya’ul Haq, NIM.: 16650004 (2020) ANALISIS KEMIRIPAN SUARA PADA VOICE NOTE WHATSAPP UNTUK BARANG BUKTI DIGITAL MENGGUNAKAN METODE AUDIO FORENSIK. Skripsi thesis, SUNAN KALIJAGA YOGYAKARTA.
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Text (ANALISIS KEMIRIPAN SUARA PADA VOICE NOTE WHATSAPP UNTUK BARANG BUKTI DIGITAL MENGGUNAKAN METODE AUDIO FORENSIK)
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Text (ANALISIS KEMIRIPAN SUARA PADA VOICE NOTE WHATSAPP UNTUK BARANG BUKTI DIGITAL MENGGUNAKAN METODE AUDIO FORENSIK)
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Abstract
As time goes by, the development of forensic science is now very rapidly. Therefore, the discipline extends to the latest technology ranging from digital forensics, computer forensics, and also mobile forensics. There are several digital forensics and one of them is audio forensics. Basically, audio forensics is more focused on investigating digital evidence related to sound recordings. Therefore, the evidence submitted to the court must be evidence that a valid and have been analyzed by an expert associated with the evidence. Analysis of the recording used in this study is the recording of WhatsApp voice notes using the audio forensic method which consists of Pitch, Formant, Bandwidth, Graphical Distribution and Spectrogram analysis. Hence, to analyze sound recordings, the researcher followed the Standard Operational Procedure (SOP) 12 on Audio Forensic Analysis from the Digital Forensic Analyst Team (DFAT). The results of the analysis will be compared with comparative records or other comparative sounds that have been analyzed using the audio forensic method and can be proven by the similarity whether the sound recordings of the evidence are from the same person.
| Item Type: | Thesis (Skripsi) |
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| Additional Information: | Pembimbing : Dr. Bambang Sugiantoro, MT |
| Uncontrolled Keywords: | Audio Forensik, Digital Forensik, Barang Bukti Digital, Pitch, Formant, dan Bandwidth, Graphical Distribution, Spectogram |
| Subjects: | Tehnik Informatika |
| Divisions: | Fakultas Sains dan Teknologi > Teknik Informatika (S1) |
| Depositing User: | Muh Khabib, SIP. |
| Date Deposited: | 07 Dec 2021 10:05 |
| Last Modified: | 07 Dec 2021 10:05 |
| URI: | http://digilib.uin-suka.ac.id/id/eprint/47558 |
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