LOCAL GOVERNMENT UNIT 1: LIBRARY MANAGEMENT SYSTEM (CATALOG MANAGEMENT, BORROWING AND RESERVATION MANAGEMENT, REAL-TIME BOOK TRACKING AND MONITORING) AI AUTOMATIC FINE CALCULATION.
Keywords:
library management system, real-time tracking, borrowing and reservation, ai fine calculation, catalog management, public library automation, user-centered designAbstract
The Library Management System developed for the Quezon City Public Library at Barangay Hall Masambong is designed to enhance library operations through the integration of real-time book tracking and monitoring, borrowing and reservation management, and AI-powered automatic fine calculation. The system allows students to log in using their QCID or School ID, improving accessibility and user experience. It facilitates quick catalog searches, efficient book reservations, and accurate tracking of borrowed items. The system also assists librarians in managing circulation records, issuing materials, and ensuring timely responses to user queries. Despite its efficiency, performance slowdowns were observed during high concurrent usage, indicating areas for system optimization. The development of the Library Management System followed the Agile methodology, allowing for iterative testing and user-centered design. Specific problems addressed include delayed book tracking, inaccurate fine computations, and prolonged wait times for book issuance. Through real-time tracking, automated borrowing and reservation features, and AI integration, the system was designed to resolve these challenges and provide a responsive and efficient service platform. The implementation of the system at the QC Public Library resulted in significant operational improvements. Approximately 90% of students successfully logged into the system. Real-time book tracking reduced search time by 96%, while the borrowing and reservation module enabled students to request books independently. The AI-powered fine calculation ensured accurate computation of penalties, and the automated FAQ chatbot reduced staff workload by 45%. However, performance issues were noted when more than 50 users accessed the system simultaneously. The Library Management System modernized public library operations by automating traditional processes and improving user interaction. The real-time book tracking and reservation modules supported efficient access to library materials, while the AI-based fine calculation feature eliminated manual fee processing and allowed for instant online payments. Although performance optimization is required for high-traffic periods, the system has proven effective in enhancing library services, ensuring streamlined operations, and improving overall user satisfaction.