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Adi Nur Rohman
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INDONESIA
KRTHA BHAYANGKARA
Published by Universitas Bhayangkara Jakarta Raya
ISSN : 19788991     EISSN : 27215784     DOI : https://doi.org/10.31599/krtha
Core Subject : Social,
Law, Crime, Criminology & Criminal Justice
The Krtha Bhayangkara Journal is published by the Law Study Program at the Law Faculty of Bhayangkara Jakarta Raya University. This scientific journal presents scientific articles that are the result of research, analysis of court decisions, theoretical studies, literature studies or conceptual critical ideas around current legal issues.
Arjuna Subject : Ilmu Sosial - Hukum
Articles 292 Documents
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Criminal Liability For Algorithmic Manipulation in The Dissemination of Information in The Digital Era Hartomi; Muhamad Adystia Sunggara; Wijayono Hadi Sukrisno
KRTHA BHAYANGKARA Vol. 20 No. 2 (2026): KRTHA BHAYANGKARA: AUGUST 2026
Publisher : Fakultas Hukum Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/krtha.v20i2.5544

Abstract

The development of digital technology has encouraged the emergence of algorithmic manipulation as a new form of cybercrime that has a significant impact on the integrity of digital public spaces. Practices such as bot army, astroturfing, and algorithmic amplification show that algorithms are no longer just tools, but play an active role in expanding the impact of an action. The main problem of this study is related to the unclear construction of the subject of criminal law and the limits of liability in the context of criminal acts mediated by algorithmic systems. This study aims to analyze the construction of subject and criminal law accountability to algorithmic manipulation according to Indonesian positive law and formulate a more adaptive criminal liability model. The method used is normative legal research with legislative, conceptual, and comparative legal approaches. The results of the study show that the Criminal Code and the ITE Law have not been able to accommodate the complexity of the agency chain in the algorithmic system, thus creating an accountability gap. To address this, the study proposes a "risk-based layered liability" model that integrates fault, risk, and liability based liability. This model allows for a proportionate distribution of responsibilities between developers, platform operators, and users. The implementation of this model requires a reformulation of norms in the ITE Law, strengthening the capacity of law enforcement officials, and establishing a structured algorithmic supervision mechanism.
Causative-Victim Tracing for Integrative Criminal Policy on AI Deepfake Face and Voice Crimes in Indonesia Muhammad Abdul Azis; Pujiyono
KRTHA BHAYANGKARA Vol. 20 No. 2 (2026): KRTHA BHAYANGKARA: AUGUST 2026
Publisher : Fakultas Hukum Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/krtha.v20i2.5666

Abstract

This study aims to analyze the weaknesses of Indonesia’s criminal law policy in responding to facial and voice AI deepfakes, and to formulate Causative-Victim Tracing as an application of integralistic criminal law policy. The method used is normative juridical research with conceptual, statutory, case, and limited comparative approaches. The findings show that deepfake regulation remains partial because it is fragmented across the Personal Data Protection Law, the Electronic Information and Transactions Law, the Criminal Code, and the Law on Sexual Violence Crimes. These instruments can address certain acts, but they have not yet understood deepfake as a sequence of crime involving biometric data, AI technology, layered actors, platform distribution, digital evidence, and recurring harm to victims. This study offers Causative-Victim Tracing to connect the tracing of data sources, technology, actors, platforms, and evidentiary obstacles with the mapping of victims, forms of harm, protection, and recovery from the earliest stage.

Page 30 of 30 | Total Record : 292

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