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@article{A Web-Based Library Management System with Notifications and AI-Powered Search at SMAN 1 Tambang_2026, volume={6}, url={http://javit.ppj.unp.ac.id/index.php/javit/article/view/317}, DOI={10.24036/qg572250}, abstractNote={
Secondary school libraries in Indonesia largely remain dependent on manual or semi-digital record-keeping even as digital library adoption grows at the university level, creating gaps in data accuracy, user access, and accreditation readiness. This study addresses that gap by designing and developing a web-based library management system for SMAN 1 Tambang that integrates five functionalities which, based on the literature reviewed in this study, have not previously been reported within a single school library management system: AI-powered natural-language search using the Gemini API, automated WhatsApp overdue notifications via the Fonnte API, six-role access control, digital rights management (DRM) for digital collections, and QRIS-based fine payment through Midtrans. The system was developed using the Waterfall method, Laravel 12, MySQL, and Bootstrap 5. Black Box Testing across 30 scenarios achieved a 100% success rate. The AI search feature achieved an overall Precision of 69.23%, Recall of 75.00%, and F1-Score of 71.96%, with an average response time of 866 ms, while Load Testing recorded a 0.00% error rate under loads of 10–100 concurrent users. User Acceptance Testing involving 30 respondents yielded a mean score of 4.30 out of 5.00 ("Very Good"), supported by a valid and reliable instrument (Cronbach’s Alpha = 0.9428). These findings demonstrate the technical feasibility of integrating AI-powered search, automated notifications, DRM, and digital payment within a unified school library management platform while improving both operational efficiency and service quality.
}, number={2}, journal={Jurnal Vokasi Informatika}, year={2026}, month={Jul.} }