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Focus and Scope
Focus and Scope
Jurnal Ilmiah FIFO is published by the Faculty of Computer Science, Universitas Mercu Buana. The journal advances research in computer science and information systems through the development and rigorous evaluation of computational methods, software, and information technologies. It provides a scholarly forum for examining how these advances improve data analysis, decision-making, system performance, and the use of information systems in organizational and societal settings.
The journal welcomes original theoretical, methodological, and applied research that makes a clearly articulated contribution to existing knowledge. Contributions may introduce new approaches, substantively improve existing methods or systems, or provide empirical evidence that advances understanding of computing and information systems. Research conducted in specific sectors or geographical settings should explain the broader relevance of its findings.
The journal’s scope encompasses five interconnected areas.
1. Artificial Intelligence and Data Analytics
Research on artificial intelligence, machine learning, deep learning, data mining, big data analytics, pattern recognition, and computer vision. Topics include the development and evaluation of computational models, learning algorithms, analytical methods, and intelligent applications, with attention to predictive performance, robustness, interpretability, and computational efficiency.
2. Information Systems and Decision Support
Research on the analysis, design, implementation, adoption, and evaluation of information systems, including strategic information systems, decision support systems, and geographic information systems. Topics include information systems planning, organisational alignment, decision quality, and the effects of information systems on users, organisational processes, and performance.
3. Software Engineering and Interactive Applications
Research on software requirements, architecture, design, development, testing, maintenance, and quality assurance, including mobile and multimedia applications. Topics include development methods, software reliability, usability, human–computer interaction, and the systematic evaluation of software products and processes.
4. Computing Infrastructure, Networks, and Security
Research on IT infrastructure, computer networks, network security, data centres, cloud computing, and database management systems. Topics include system architecture, data management, resource allocation, interoperability, scalability, availability, privacy, security, and performance evaluation.
5. Internet of Things and Mobile Computing
Research on Internet of Things architectures, connected devices, mobile technologies, and the integration of sensing, communication, and computing. Topics include connectivity, device and service integration, distributed data processing, security, energy efficiency, and the evaluation of connected systems in operational environments.
Expected Research Contribution
Submissions must establish a relevant research problem, critically engage with existing scholarship, identify the contribution to knowledge, and employ methods appropriate to the research objectives. The evidence presented must support the manuscript’s principal claims.
Depending on the research design, evaluation may involve theoretical analysis, controlled experiments, simulations, benchmark comparisons, case studies, field investigations, or user studies. Authors should justify their datasets, sampling procedures, evaluation criteria, and analytical methods, as applicable.
Research involving application or system development must explain the underlying research contribution and provide systematic evaluation against explicit objectives and relevant comparison points. Methodological descriptions should provide sufficient detail to support critical assessment and, where applicable, reproducibility.
The journal encourages contributions that connect advances in computing with clearly defined practical problems and explain the conditions under which the findings may inform further research or practice.
