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Success Factors for Implementing Robotic Process Automation (RPA) in Accounting Information Systems within the Trade Sector: a Systematic Literature Review Dony Waluya Firdaus; Ridwan Zulkifli; Muhamad Nawawi; Irawan Afrianto; Estiko Rijanto; Irfan Sumitra
@is The Best : Accounting Information Systems and Information Technology Business Enterprise Vol 10 No 2 (2025): @is The Best : Accounting Information Systems and Information Technology Busines
Publisher : Labkat Press KA FTIK UNIKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/aisthebest.v10i2.18687

Abstract

Digital transformation requires more operational efficiency in the trade sector, with RPA turning out to be one of the key technologies for modernizing Accounting Information Systems. This paper seeks to identify the adoption patterns and dominant factors determining the success of RPA implementation in finance and accounting functions within the trade sector-a domain which, so far, has been underexplored as compared to the banking sector. By means of a Systematic Literature Review with PRISMA 2020 guidelines, along with the bibliometric analysis of 72 Scopus-indexed articles published between 2020 and 2025, this study maps the evolution in technology adoption. The study portrays that RPA's adoption has moved beyond the automation of mere back-office repetitive tasks, such as reconciliation and data entry, toward the orchestration of end-to-end trade processes spanning procurement and logistics, while integrating with AI for handling unstructured data. The study further finds evidence that successful implementation relies on a maturity path leading from accurate selection of routine and high-volume processes to standardization of data input. The sustainability of RPA advantages is defined by organizational capabilities through CoE and successful change management, while supported by strategic governance through alignment of business objectives with information technology.   The result of this study provides a theoretical framework and practical guidance for trading firms in ensuring investments in RPA result in performance metrics and increased compliance.
Integration of Blockchain and Digital Forensics for Data Transparency and Verification : A Systematic Literature Review Sri Nurhayati; Diana Effendi; Anggun Fergina; Irawan Afrianto; Estiko Rijanto; Irfan Dwiguna Sumitra
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.18416

Abstract

Data integrity and transparency are increasingly critical concerns in the digital era. Various challenges in digital forensics arise from the growing prevalence of evidence manipulation and digital tampering, which can compromise the validity of legal investigations. This study conducts a systematic review of the potential application of blockchain technology as a solution for ensuring the authenticity and verification of digital data, employing the Systematic Literature Review (SLR) method guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. A total of 156 relevant articles sourced from the Scopus database and published between 2018 and 2025 were selected and analyzed. The results reveal a significant increase in publications since 2020, with five main research clusters identified, including the integration of Artificial Intelligence (AI) and cybersecurity. Key findings confirm that blockchain effectively functions as a trust layer, creating an immutable and transparent chain of custody. This study concludes that blockchain integration provides a strong foundation for developing more accountable, secure, and reliable digital forensic systems