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This study investigates the role of Information Technology (IT) governance in enhancing risk management performance and ensuring regulatory compliance within multinational digital enterprises. As digital transformation continues to reshape the global business landscape, organizations face increasing challenges in managing technological risks and complying with complex regulatory requirements across various jurisdictions. The study adopts a quantitative approach, using a survey methodology to collect data from senior IT and compliance managers in multinational digital enterprises. The survey focuses on how IT governance frameworks, such as COBIT 2019 and ISO 27000, are utilized to align IT strategies with business objectives, mitigate risks, and maintain regulatory compliance. The findings indicate that organizations with well-established IT governance structures are better positioned to proactively identify and mitigate risks, ensuring greater consistency in meeting regulatory requirements. These organizations demonstrate improved risk management effectiveness, especially concerning cybersecurity, data privacy, and compliance with global regulations like GDPR. In contrast, organizations with ad hoc or decentralized governance structures struggle with fragmented risk management and compliance efforts. The study further highlights the importance of integrating IT governance frameworks with internal audit functions, specifically the Chief Audit Executive (CAE), to enhance cybersecurity resilience and ensure compliance with global standards. This research contributes to the literature by providing empirical evidence on the integration of IT governance, risk management, and regulatory compliance in multinational enterprises. It also highlights the need for a structured and systematic approach to IT governance to improve organizational performance in managing risks and ensuring consistent regulatory adherence. The study offers practical insights for organizations looking to optimize their IT governance structures in the face of rapid digital transformation.

Waropen Regency, located in Papua Province, Indonesia, is an area with abundant natural resource potential, such as fisheries (fish, shrimp, crabs), tropical forests and biodiversity. However, the varied topography, high rainfall and geographical conditions make this region vulnerable to flood disasters. This research aims to analyze and predict flood hazards in Waropen Regency using Geographic Information Systems (GIS) such as ArcGIS. The methods used include secondary data collection (topography, rainfall, land use, and river network), data processing using GIS software, as well as spatial analysis using Digital Elevation Models (DEM) and hydrological modeling. The research results produced a flood hazard zoning map that identifies priority areas based on threat level. This map is also used to analyze the potential impact of flooding on settlements, infrastructure and agricultural land. The findings of this research provide important information for local governments and stakeholders in designing disaster risk mitigation strategies, such as building flood control infrastructure and disaster mitigation-based spatial planning. Thus, this research shows the potential of GIS in supporting effective and data-based disaster risk management in Waropen Regency.

The oil fuel stock monitoring system (BBM) is becoming crucial to the management of valuable energy assets. The aim of the author is to conduct an effective system analysis and development to monitor BBM stocks. The research uses prototyping methods, which include the following steps: identification of initial needs, initial prototype making, evaluation and feedback, improvement and development, final implementation, and final evaluation. An easy-to-understand user interface design and an efficient database structure are important components of system design. Web-based software development is part of the system implementation. The testing process is carried out to ensure the performance, reliability, and security of the system. The system is regularlyined to remain functional and relevant. It is expected that the results of this practice will make a significant contribution in improving the efficiency and accuracy of monitoring BBM stocks. Moreover, these results will provide the basis for similar system development in the future.