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Evaluation of Information Technology Service Governance Using the ITIL Method : A Strategy for Improving Business Intelligence Efficiency at Bank Rakyat Indonesia Andysah Putera Utama Siahaan; Wiko Pratama; Juliyandri Saragih; Muhammad Indra; Muhammad Wahyudi
International Journal of Computer Technology and Science Vol. 2 No. 1 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i1.115

Abstract

Information Technology (IT) service management plays a critical role in supporting the efficiency and effectiveness of business intelligence processes within modern organizations. This study aims to evaluate IT service governance in Bank Rakyat Indonesia using the Information Technology Infrastructure Library (ITIL) framework. This approach focuses on improving operational efficiency, service management, and aligning IT services with business needs. The research method involves a detailed analysis of service processes and activities based on ITIL stages, ranging from service strategy to continuous improvement. The findings indicate that ITIL implementation significantly enhances IT service management and promotes business intelligence effectiveness within the organization. Recommendations for further development are also provided to improve the quality and speed of IT services in the future.
Analysis of Airport Security Threat Prediction through AI Integration and Gesture Analysis : A Hypothetical Study in the Apron Zone Wiko Pratama; Leni Marlina; Rian Farta Wijaya
JURAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 2 (2025): Agustus : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i2.5969

Abstract

Airport security is a vital component in maintaining the stability of air transportation systems. Although scanning technologies and access control systems have significantly advanced, the potential threat posed by internal actors remains an unresolved vulnerability. This study aims to examine the feasibility of integrating artificial intelligence (AI) technologies to detect threat intentions through gesture and body temperature analysis, with a specific focus on the apron zone a highly vulnerable area of the airport. Utilizing a hypothetical scenario based on the Red Team method, this study maps potential breach pathways conducted by individuals with authorized access. The findings suggest that the integration of computer vision, thermal imaging, and behavioral profiling has the potential to identify anomalous behaviors indicative of malicious intent. This research highlights the importance of combining technological approaches with human-centered security strategies to develop a more adaptive and accurate predictive security system.