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All Journal Journal of Technology and Computer (JOTECHCOM)
Hasyim Syarif, Shamir
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Computer Science & IT

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Performance Evaluation of Information Technology Governance using the COBIT 5 Framework at PT. Global Bangunan Jaya Fajrillah, Fajrillah; Hasyim Syarif, Shamir; Hiya, Nirmadarningsih; Zulfa, Ira; Eliyin, Eliyin
Journal of Technology and Computer Vol. 2 No. 2 (2025): May 2025 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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PT. Global Bangunan Jaya Riau is a company focused on providing essential building materials in Riau Province. This is driven by the rapid development in the region, including office infrastructure and road networks. The company was established to support the significant growth of construction in Riau, and due to its high competitiveness, it must maintain strong performance both in terms of product quality and customer service. To ensure that the quality and services provided by PT. Global Bangunan Jaya Riau align with the company's vision and mission, it is essential to evaluate the extent to which the organization’s IT goals support its overall business objectives. This evaluation is carried out using the COBIT 5 framework, focusing on the EDM (Evaluate, Direct, Monitor) domain. The research process involves three stages of analysis: assessing the current IT capability level, identifying the desired capability level, and analyzing the gap between the two. Data for this study were collected through questionnaires. The results indicate that the IT processes at PT. Global Bangunan Jaya Riau have been effectively implemented, achieved, and well-managed.
Improving Information System Audit Security through Artificial Intelligence (AI) Technology Integration Fajrillah, Fajrillah; Hasyim Syarif, Shamir; Hiya, Nirmadarningsih
Journal of Technology and Computer Vol. 2 No. 2 (2025): May 2025 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

In today's digital age, information systems are the backbone of various organizations' operations, yet they are vulnerable to increasingly complex cybersecurity threats. Information system auditing plays a crucial role in ensuring system security and reliability, but conventional audit methods are beginning to face various limitations, particularly in handling large volumes of data and detecting threats quickly. This study aims to analyze the role, benefits, and challenges of integrating artificial intelligence (AI) technology into the information system audit process. Using a literature review method, this research found that AI can enhance audit effectiveness through data analysis automation, real-time fraud detection, and optimizing auditors' roles in strategic analysis. However, the implementation of AI still faces issues such as data quality, algorithm transparency, potential bias, auditor readiness, and the need for strong regulation and governance. This study recommends the need for synergy between technology, policy, infrastructure, and human resource competencies to ensure the effective and responsible implementation of AI in information system auditing in modern business environments.
Co-Authors Eliyin, Eliyin Fajrillah, Fajrillah Hiya, Nirmadarningsih zulfa, Ira