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Audio Forensics on Smartphone with Digital Forensics Research Workshop (DFRWS) Method

CommIT (Communication and Information Technology) Journal · Vol. 15 No. 1 (2021) · hlm. 41–47

DOI
10.21512/commit.v15i1.6739
ISSN
2460-7010, 1979-2484
Terbit
2021-03-20
Penerbit
Bina Nusantara University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Audio is one of the digital items that can reveal a happened case. However, audio evidence can also be manipulated and changed to hide information. Forensics audio is a technique to identify the sound’s owner from the audio using pitch, formant, and spectrogram parameters. The conducted research examines the similarity of the original sound with the manipulated voice to determine the owner of the sound. It analyzes the level of similarity or identical sound using spectrogram analysis with the Digital Forensics Research Workshop (DFRWS) Method. The research objects are original and manipulated files. Both files are in mp3 format, which is encoded to WAV format. Then, the live forensics method is used by picking up the data on a smartphone. Several applications are also used. The results show that the research successfully gets digital evidence on a smartphone with the Oxygen Forensic application. It extracts digital evidence in the form of two audio files and two video files. Then, by the hashing process, the four obtained files are proven to be authentic. Around 90% of the data are identical to the original voice recording. Only 10% of the data are not identical.

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  • Universitas Ahmad Dahlan
  • Islamic University of Indonesia
  • Siliwangi University
  • Universitas Qamarul Huda Badaruddin
  • Hasanuddin University
  • Muhammadiyah University of Makassar
  • AGH University of Krakow
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Rekan penulisOrganisasiArtikel bersama
Anton YudhanaUniversitas Ahmad Dahlan9
Abdul FadlilUniversitas Ahmad Dahlan7
Rio AnggaraUniversitas Ahmad Dahlan4
Yudi PrayudiIslamic University of Indonesia3
Sunardi SunardiUniversitas Ahmad Dahlan2
Nur WidiyasonoSiliwangi University2
Ahmad LuthfieAfiliasi tidak diketahui2
Siti HelmiyahUniversitas Ahmad Dahlan2
Abdullah HanifUniversitas Ahmad Dahlan2
Arizona FirdonsyahUniversitas Ahmad Dahlan2
Ainunna’imahUniversitas Ahmad Dahlan1
Herman YuliansyahUniversitas Ahmad Dahlan1
FitriahUniversitas Ahmad Dahlan1
HermanAfiliasi tidak diketahui1
Asno Azzawagama FirdausUniversitas Qamarul Huda Badaruddin1
Yuminah yuminahUniversitas Ahmad Dahlan1
Imam Mahfudl NasrullohUniversitas Ahmad Dahlan1
Fauzan NatsirAfiliasi tidak diketahui1
Eri HaryantoIslamic University of Indonesia1
Sahiruddin SahiruddinHasanuddin University1
W YunanriUniversitas Ahmad Dahlan1
Andi PrayudiUniversitas Ahmad Dahlan1
Nurmi HidayasariIslamic University of Indonesia1
Tri Stiyo FamujiUniversitas Ahmad Dahlan1
HERMAN HERMANMuhammadiyah University of Makassar1
Shoffan SaifullahAGH University of Krakow1
Ruuhwan RuuhwanAfiliasi tidak diketahui1
Muhammad Nur FaizUniversitas Ahmad Dahlan1
Firmansyah FirmansyahUniversitas Ahmad Dahlan1
Fahmi AnwarUniversitas Ahmad Dahlan1
Firmansyah FirmansyahUniversitas Islam Al-Azhar1
Muhammad Kunta BiddinikaUniversitas Ahmad Dahlan1
Muhammad Fahmi Mubarok NahdliUniversitas Ahmad Dahlan1
Suwanti SuwantiAfiliasi tidak diketahui1
Jihan WalaUniversitas Ahmad Dahlan1
Herman HermanAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.binus.ac.id/index.php/commit/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Audio Forensics on Smartphone with Digital Forensics Research Workshop (DFRWS) Method</dc:title>
	<dc:creator>Sunardi, Sunardi</dc:creator>
	<dc:creator>Riadi, Imam</dc:creator>
	<dc:creator>Umar, Rusydi</dc:creator>
	<dc:creator>Gustafi, Muhammad Fauzan</dc:creator>
	<dc:subject xml:lang="en-US">Audio Forensics</dc:subject>
	<dc:subject xml:lang="en-US">Smartphone</dc:subject>
	<dc:subject xml:lang="en-US">Digital Forensics Research Workshop (DFRWS)</dc:subject>
	<dc:description xml:lang="en-US">Audio is one of the digital items that can reveal a happened case. However, audio evidence can also be manipulated and changed to hide information. Forensics audio is a technique to identify the sound’s owner from the audio using pitch, formant, and spectrogram parameters. The conducted research examines the similarity of the original sound with the manipulated voice to determine the owner of the sound. It analyzes the level of similarity or identical sound using spectrogram analysis with the Digital Forensics Research Workshop (DFRWS) Method. The research objects are original and manipulated files. Both files are in mp3 format, which is encoded to WAV format. Then, the live forensics method is used by picking up the data on a smartphone. Several applications are also used. The results show that the research successfully gets digital evidence on a smartphone with the Oxygen Forensic application. It extracts digital evidence in the form of two audio files and two video files. Then, by the hashing process, the four obtained files are proven to be authentic. Around 90% of the data are identical to the original voice recording. Only 10% of the data are not identical.</dc:description>
	<dc:publisher xml:lang="en-US">Bina Nusantara University</dc:publisher>
	<dc:date>2021-03-20</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.binus.ac.id/index.php/commit/article/view/6739</dc:identifier>
	<dc:identifier>10.21512/commit.v15i1.6739</dc:identifier>
	<dc:source xml:lang="en-US">CommIT (Communication and Information Technology) Journal; Vol. 15 No. 1 (2021): CommIT Journal; 41-47</dc:source>
	<dc:source>2460-7010</dc:source>
	<dc:source>1979-2484</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.binus.ac.id/index.php/commit/article/view/6739/4061</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Sunardi Sunardi, Imam Riadi, Rusydi Umar, Muhammad Fauzan Gustafi</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>