<![CDATA[One gaming company continues to manage the borrowing of press machines traditionally through paper forms and spreadsheet documentation. This approach frequently results in problems, including scheduling conflicts, recording inaccuracies, and ambiguous borrowing sequences. This study seeks to resolve these issues by creating a web-based information system for borrowing press machines that utilizes the FIFO (First In First Out) algorithm. The research employs a descriptive-analytic qualitative approach, while the system development adheres to the Agile (Scrum) framework for enhanced flexibility and adaptability. The system provides functionalities such as an automated FIFO queue, online borrowing, real-time machine status monitoring, notifications, and usage analytics. Testing results indicate that implementing FIFO significantly reduces scheduling conflicts, improves queue fairness, and expedites the borrowing process. This research not only provides practical benefits for the organization but also advances the scientific application of queuing algorithms in industrial asset management information systems.]]>
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