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All Journal Unnes Law Journal : Jurnal Hukum Universitas Negeri Semarang Jurnal Puruhita
Istri Wulandari
Akademi Kepolisian Republik Indonesia
Law, Crime, Criminology & Criminal Justice Social Sciences

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Forensic Science in Criminalistics in Indonesia: Development and Challenges Istri Wulandari
Unnes Law Journal Vol. 9 No. 1 (2023): April, 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ulj.v9i1.37281

Abstract

Since the birth of forensic science until now it has developed so rapidly. the division of forensic science is so complete that it is able to assist law enforcement in carrying out the task of disclosing criminal cases. The application of forensic science has also undergone standardization that is recognized by the international community, so that in future trials, the use of forensic science can be clearly accounted for. The use of forensic science in Indonesia is the same as following international standards using standards set by the National Accreditation Agency. So that in the end it is professional staff who are needed to manpower the needs of the use of forensic science, at least being able to prevent the perpetrators of crimes from continuing their crimes.
Optimizing Digital Forensic Workflows for Efficient Cybercrime Investigation Processes Istri Wulandari
Jurnal Puruhita Vol. 7 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/puruhita.v7i1.37895

Abstract

Digital forensic workflows have become critical in modern cybercrime investigations due to the increasing complexity, volume, and volatility of digital evidence. This study examines the structure, effectiveness, and operational challenges of standardized digital forensic workflows across law enforcement environments. Using a mixed-methods approach consisting of workflow simulations, performance evaluation of forensic tools, and interviews with 32 forensic practitioners, this research identifies key procedural bottlenecks and proposes an optimized workflow model. Quantitative data demonstrate that structured workflows reduce evidence processing time by 28% and increase extraction accuracy from 63% to 88%, particularly when automation and triage tools are applied during the initial phases of analysis. Qualitative results reveal that practitioners rely heavily on standardized protocols for chain-of-custody documentation, imaging integrity, and artifact validation. However, challenges persist in tool interoperability, encrypted data extraction, and cross-platform evidence correlation. The study concludes that digital forensic workflows must balance technical rigor with operational flexibility, integrating automation, standardized procedures, and cross-departmental coordination. Contributions to forensic science include a refined workflow framework, identification of critical performance indicators, and operational recommendations for enhancing the reliability and reproducibility of digital investigations. 
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