The Barcode LibraTrack with Data Analytics is a webbased system developed to automate library attendance tracking and enhance data-driven decision-making at Iloilo Science and Technology University Miagao Campus (ISAT U MC). The study was initiated in response to the inefficiencies of manual logging, which hindered accurate record-keeping and statistical reporting in the campus library. By integrating barcode scanning technology with a centralized database, the system enables students and faculty to log their attendance through their library cards with barcode, ensuring quick and accurate entry processes and minimizing errors. The system features a dashboard that visualizes library usage demographics through word cloud, bar chart, doughnut chart, pie chart, line chart, and polar area chart, allowing librarians to monitor engagement, identify trends, and allocate resources effectively. Additionally, the system incorporates data analytics to interpret visual data and provide descriptive analysis. Developed using HTML, CSS, PHP, and MySQL, the system followed the Iterative Software Development Methodology to ensure continuous refinement based on user feedback. Evaluation based on ISO/IEC 25010:2023 software quality model confirmed the system’s compliance with the standard. In conclusion, the Barcode LibraTrack with Data Analytics successfully addressed the limitations of manual attendance tracking, improved operational efficiency, and empowered library personnel with actionable insights for service enhancement.