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All Journal Jurnal Riset Teknik Komputer
Sharon Jadelyn Villian Johan
Universitas Multi Data Palembang
Computer Science & IT Industrial & Manufacturing Engineering Other

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AUDIT SISTEM INFORMASI AKUNTANSI SAWITACCT PADA PT. BERKAT SAWIT SUKAMAJU MENGGUNAKAN FRAMEWORK COBIT 2019 DOMAIN DSS Alfin Alfin; Sharon Jadelyn Villian Johan; Novela Artika Sari Dewi; Mayang Sari
Jurnal Riset Teknik Komputer Vol. 3 No. 2 (2026): Juni : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/8my8ww54

Abstract

PT Berkat Sawit Sukamaju utilizes an accounting information system called SawitACCT to support financial transaction processing and company financial reporting activities. However, several problems were identified, including the absence of user access rights management, unrestricted transaction modification and deletion by users, backup systems using local hard disks, and system disruptions causing data loss. This study aims to evaluate the effectiveness of information system controls using the COBIT 2019 framework, specifically DSS01, DSS04, and DSS05. The research method used is descriptive qualitative through observation, interviews, and documentation. The audit results indicate that DSS01 and DSS05 are at Capability Level 2 (Managed Process), while DSS04 is at Capability Level 1 (Performed Process). The findings show that the company still requires improvements in user access management, backup systems, antivirus maintenance, and server infrastructure optimization. This study concludes that improvement of information system governance is necessary to support operational continuity and information security within the company.
PEMANFAATAN LARGE LANGUAGE MODEL (LLM) SEBAGAI ASISTEN PEMBELAJARAN DIGITAL DALAM MENINGKATKAN EFEKTIVITAS PROSES BELAJAR MAHASISWA Sharon Jadelyn Villian Johan; Mayang Sari Nr; Anita Anita; Dorie P. Kesuma
Jurnal Riset Teknik Komputer Vol. 3 No. 2 (2026): Juni : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/b429t708

Abstract

The development of Artificial Intelligence (AI) technology has significantly impacted various sectors, including education. One of the most rapidly advancing innovations is the Large Language Model (LLM), an AI-based language model capable of understanding and generating natural language text. This study aims to examine how Large Language Models can be utilized as digital learning assistants to support the teaching and learning process. The research method employed is a literature review by reading and analyzing various scientific journals, books, research reports, and relevant academic publications from the last five years. The analysis was conducted to identify the benefits, opportunities, challenges, and implications of using Large Language Models in the field of education. The findings indicate that Large Language Models can assist students in understanding learning materials, obtaining information quickly, supporting self-directed learning, and enhancing interaction in the learning process. On the other hand, the use of Large Language Models also presents several challenges, such as information accuracy, potential user dependency, and academic ethics issues. Based on the findings, Large Language Models have significant potential as digital learning assistants that can improve learning effectiveness when used wisely and supported by adequate digital literacy.
Co-Authors Alfin Alfin Anita Anita Dorie P. Kesuma Mayang Sari Mayang Sari Nr Novela Artika Sari Dewi