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Spatiotemporal Analysis and Mapping of Fire Incidents Using GIS Technology Alrwais, Omer; Alshutairi, Abdulmohsen
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 2: August 2024
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0602.683

Abstract

Spatiotemporal fire analysis and mapping can enable policymakers to develop effective fire management strategies that optimize the allocation of necessary resources. Efficient urban fire management requires a well-coordinated regional planning and response system. The primary objective of this paper is to analyze the spatiotemporal patterns of fire incidents in Austin, Texas, utilizing geospatial technologies. This study specifically addresses deficiencies in fire protection planning in Austin, along with the new challenges posed by the city’s rapid expansion. The fire risk and vulnerability of buildings in Austin were assessed using Geographic Information System (GIS) technology. GIS was also employed to identify potential sites for new fire stations and to optimize the design of existing stations based on fire risk assessments. This paper focuses on developing a GIS-based fire information system for the Austin Fire Department to determine the optimal route to fire incidents. The research produced a fire incidence distribution map and examined fire occurrence patterns using spatial statistical methods, including location identification, frequency analysis, and evaluation of fire hazard vulnerability and exposure. Based on the findings, the establishment of new fire stations is recommended, particularly in areas with high fire risk. The fire information system developed to identify optimal routes could be integrated with construction and cadastral inventory data to form a more comprehensive decision support system.
Leveraging Scaled Agile Framework to Develop Information Systems in Finance Field Alotaibi, Dinah Dhaif Allah; Alrwais, Omer
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 1: April 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0701.791

Abstract

This research investigates the application of the Scaled Agile Framework (SAFe) in Saudi financial institutions, focusing on its impact on scalability, regulatory compliance, security, and speed in system development. The study aims to explore the benefits and challenges of SAFe adoption in a highly regulated and hierarchical industry. Data was collected from six articles, employing a qualitative analysis to examine how SAFe addresses the critical needs of financial organizations in adapting to dynamic market conditions while ensuring compliance with strict regulations. The findings reveal that SAFe enhances scalability by improving team collaboration and governance processes, which is crucial for large financial institutions. Additionally, its iterative approach facilitates ongoing regulatory compliance and allows rapid adaptation to regulatory changes. The integration of security protocols into the continuous development process helps reduce vulnerabilities, while the structured nature of SAFe accelerates product delivery, improving responsiveness to market demands. Despite these advantages, challenges include limited experience with large-scale Agile frameworks, balancing compliance with agility, and resistance to organizational change. The study highlights the need for further research, particularly primary data collection from Saudi financial institutions, to better understand the local challenges and opportunities for SAFe adoption in this rapidly evolving industry.
Artificial Intelligence Project Management Methodologies: Insights from Field Experts in Saudi Arabia Alsumari, Walaa; Alrwais, Omer
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025 (ONLINE FIRST)
Publisher : Universitas Komputer Indonesia

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Abstract

This study investigates the impact of project management (PM) methodologies on the execution of Artificial Intelligence (AI) projects within Saudi Arabia, while also addressing challenges related to AI PM on a global scale. It explores unique difficulties in managing AI projects both locally and internationally. An exploratory research approach is used, drawing on case studies and literature to analyze AI project phases in leading companies. Surveys with AI experts and project managers in Saudi Arabia further illustrate current practices. Agile emerged as the most widely used methodology locally, applied in 60% of projects, most of which focused on applied AI. Globally, AI projects face issues such as unclear leadership, role ambiguity, inconsistent hybrid approaches, and nonlinear risks. These findings highlight the need for frameworks tailored to the complexity, uncertainty, and ethical dimensions of AI projects. This research contributes fresh insights into the field, supporting the development of targeted methodologies for managing AI initiatives and identifying areas for future work.
The Impact of DevOps on Efficiency and Innovation  in Government Organizations Alrwais, Omer; AlEkresh, Lama
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 1 (2026): INJIISCOM: VOLUME 7, ISSUE 1, JUNE 2026 (ONLINE FIRST)
Publisher : Universitas Komputer Indonesia

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Abstract

This study looks at how DevOps can improve efficiency and encourage innovation in government organizations. DevOps is a method that brings together development and operations teams, focusing on collaboration, automation, and better communication. While it is widely used in private companies, its use in government organizations is still not common and needs more attention. Furthermore, explores the benefits and challenges of using DevOps in the public sector, especially in Saudi Arabia, where Vision 2030 highlights the importance of digital transformation. Data was gathered through surveys, interviews, and case studies involving government organizations and experts. The findings show that DevOps helps improve efficiency, speeds up service delivery, and increases innovation. However, issues like resistance to change and a lack of technical skills remain challenges. The study suggests that with proper training, careful planning, and working with private sector experts, DevOps can help government organizations modernize their services and achieve their goals.