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Evaluation of Electronic Evidence in Criminal Justice in the Era of Advanced Artificial Intelligence Technology

IJCLS (Indonesian Journal of Criminal Law Studies) · Vol. 9 No. 2 (2024) · pp. 309–332

DOI
10.15294/ijcls.v9i2.36634
ISSN
2548-1576, 2548-1568
Published
2024-11-30
Publisher
Universitas Negeri Semarang
Language
eng
License
creativecommons.org/licenses/by/4.0

Abstract

Law enforcement is one of the many facets of society that have seen substantial changes as a result of the quick growth of digital technology, especially artificial intelligence (AI). The purpose of this study is to assess how electronic evidence is used in Indonesia's criminal justice system, pinpoint the difficulties encountered, and offer suggestions for enhancing the efficiency and equity of electronic evidence in the age of artificial intelligence. In line with the technological elements included in digital and criminal investigation research methodologies, this qualitative study aids in the creation of a theoretical framework for the use of electronic evidence in the setting of artificial intelligence. The results show that Indonesian law is now able to meet the needs of the digital age with its adaptation to technological advancements. Finding material truth in court proceedings is made possible by electronic evidence, which is legally acknowledged as a legitimate tool in criminal justice. To successfully address these issues and optimize the use of AI in the legal system, it is imperative to develop a strong ethical framework, improve law enforcement capacities, and update rules on a regular basis.

Keywords

Collaboration network of the authors

40 authors · 135 co-authorship links · 1 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Universitas Gadjah Mada
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Winarsih WinarsihUniversitas Gadjah Mada7
Muhamad Sayuti HassanAffiliation unknown7
Ali MasyharAffiliation unknown6
Muhammad Azil MaskurAffiliation unknown6
Chandra Noviardy IrawanAffiliation unknown4
Wildan Azkal FikriAffiliation unknown4
Indung WijayantoState University of Semarang3
Siti MursidahAffiliation unknown3
Moh. KhoiruddinAffiliation unknown3
Ricky Dermawan FauziAffiliation unknown3
PujiyonoAffiliation unknown3
Anis WidyawatiAffiliation unknown3
Nur RochaetiAffiliation unknown3
Ridwan ArifinAffiliation unknown3
Sukadari SukadariAffiliation unknown2
Chanidia Ari RahmayaniAffiliation unknown2
Agung AdityaAffiliation unknown2
Suhadi SuhadiAffiliation unknown2
Dede IndraswaraAffiliation unknown2
Sarno SetiawanAffiliation unknown2
Muhammad Afis SaifunuhaAffiliation unknown2
Jauza Lasta KautsarAffiliation unknown2
Batari LaskarwatiAffiliation unknown2
Bayangsari WedhatamiAffiliation unknown2
Ubaidillah KamalAffiliation unknown2
Syukron SalamAffiliation unknown2
Aprila NiravitaAffiliation unknown2
Iqbal SyariefudinAffiliation unknown2
Umi Khaerah PatiAffiliation unknown2
Pranoto PranotoAffiliation unknown2
Kukuh TejomurtiAffiliation unknown2
WinarsihAffiliation unknown2
Sonny Saptoajie WicaksonoAffiliation unknown2
Indah Sri UtariAffiliation unknown2
Barda Nawawi AriefAffiliation unknown2
Bagus Hendradi KusumaAffiliation unknown2

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/ijcls/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Evaluation of Electronic Evidence in Criminal Justice in the Era of Advanced Artificial Intelligence Technology</dc:title>
	<dc:creator xml:lang="en">Sumardiana, Benny</dc:creator>
	<dc:creator xml:lang="en">Pujiyono, Pujiyono</dc:creator>
	<dc:creator xml:lang="en">Cahyaningtyas, Irma</dc:creator>
	<dc:creator xml:lang="en">Wulandari, Cahya</dc:creator>
	<dc:subject xml:lang="en">Electronic Evidence, Artificial Intelligence, Criminal Justice</dc:subject>
	<dc:description xml:lang="en">Law enforcement is one of the many facets of society that have seen substantial changes as a result of the quick growth of digital technology, especially artificial intelligence (AI). The purpose of this study is to assess how electronic evidence is used in Indonesia's criminal justice system, pinpoint the difficulties encountered, and offer suggestions for enhancing the efficiency and equity of electronic evidence in the age of artificial intelligence. In line with the technological elements included in digital and criminal investigation research methodologies, this qualitative study aids in the creation of a theoretical framework for the use of electronic evidence in the setting of artificial intelligence. The results show that Indonesian law is now able to meet the needs of the digital age with its adaptation to technological advancements. Finding material truth in court proceedings is made possible by electronic evidence, which is legally acknowledged as a legitimate tool in criminal justice. To successfully address these issues and optimize the use of AI in the legal system, it is imperative to develop a strong ethical framework, improve law enforcement capacities, and update rules on a regular basis.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-11-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/ijcls/article/view/36634</dc:identifier>
	<dc:identifier>10.15294/ijcls.v9i2.36634</dc:identifier>
	<dc:source xml:lang="en">IJCLS (Indonesian Journal of Criminal Law Studies); Vol. 9 No. 2 (2024): Indonesia J. Crim. L. Studies (November, 2024); 309-332</dc:source>
	<dc:source>2548-1576</dc:source>
	<dc:source>2548-1568</dc:source>
	<dc:source>10.15294/p8chzr73</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/ijcls/article/view/36634/7053</dc:relation>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
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