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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) · hlm. 309–332

DOI
10.15294/ijcls.v9i2.36634
ISSN
2548-1576, 2548-1568
Terbit
2024-11-30
Penerbit
Universitas Negeri Semarang
Bahasa
eng
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

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.

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  • State University of Semarang
  • Universitas Gadjah Mada
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Rekan penulisOrganisasiArtikel bersama
Winarsih WinarsihUniversitas Gadjah Mada7
Muhamad Sayuti HassanAfiliasi tidak diketahui6
Ali MasyharAfiliasi tidak diketahui5
Chandra Noviardy IrawanAfiliasi tidak diketahui4
Indung WijayantoState University of Semarang3
Siti MursidahAfiliasi tidak diketahui3
Moh. KhoiruddinAfiliasi tidak diketahui3
Ricky Dermawan FauziAfiliasi tidak diketahui3
Muhammad Azil MaskurAfiliasi tidak diketahui3
Ridwan ArifinAfiliasi tidak diketahui3
Sukadari SukadariAfiliasi tidak diketahui2
Chanidia Ari RahmayaniAfiliasi tidak diketahui2
Agung AdityaAfiliasi tidak diketahui2
Suhadi SuhadiAfiliasi tidak diketahui2
Dede IndraswaraAfiliasi tidak diketahui2
Sarno SetiawanAfiliasi tidak diketahui2
Muhammad Afis SaifunuhaAfiliasi tidak diketahui2
Jauza Lasta KautsarAfiliasi tidak diketahui2
Batari LaskarwatiAfiliasi tidak diketahui2
Bayangsari WedhatamiAfiliasi tidak diketahui2
Ubaidillah KamalAfiliasi tidak diketahui2
Syukron SalamAfiliasi tidak diketahui2
Aprila NiravitaAfiliasi tidak diketahui2
Iqbal SyariefudinAfiliasi tidak diketahui2
Umi Khaerah PatiAfiliasi tidak diketahui2
Pranoto PranotoAfiliasi tidak diketahui2
Kukuh TejomurtiAfiliasi tidak diketahui2
WinarsihAfiliasi tidak diketahui2
PujiyonoAfiliasi tidak diketahui2
Sonny Saptoajie WicaksonoAfiliasi tidak diketahui2
Indah Sri UtariAfiliasi tidak diketahui2
Barda Nawawi AriefAfiliasi tidak diketahui2
Bagus Hendradi KusumaAfiliasi tidak diketahui2
Baidhowi BaidhowiAfiliasi tidak diketahui1
Silvia FerginaAfiliasi tidak diketahui1
Siti NurmalaAfiliasi 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.unnes.ac.id/journals/ijcls/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 5 Nov 2026.
Metadata asli (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>
</oai_dc:dc>