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Contact Name
Asrul Huda
Contact Email
asrulhuda@gmail.com
Phone
+6281363777678
Journal Mail Official
javit@ppj.unp.ac.id
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Jl. Prof. Hamka, Air Tawar, Padang 25131, Sumatera Barat, Indonesia
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Kota padang,
Sumatera barat
INDONESIA
Jurnal Vokasi Informatika (JAVIT)
ISSN : -     EISSN : 27756807     DOI : -
Core Subject : Science, Education,
Jurnal Vokasi Informatika (JAVIT) merupakan jurnal berskala nasional yang berfokus pada publikasi penelitian dalam bidang pendidikan vokasi informatika. Semua artikel yang masuk ke JAVIT harus melalui proses peer-review yang cepat namun komprehensif yang ditangani oleh editorial yang professional. JAVIT menerima artikel-artikel berkualitas tinggi dalam bidang Pendidikan Teknik Informatika dan Komputer. Bidang artikel penelitian di JAVIT meliputi: 1. Pendidikan Teknik Informatika dan komputer. 2. Model pembelajaran berbasis ICT. 3. Multimedia. 4. Pengembangan media pembelajaran berbasis IT. 5. Sistem Informasi. 6. Teknologi Mobile. 7. Database, Data Mining, Data Warehouse dan aplikasinya. 8. Algoritma, Models, Simulasi beserta implementasinya. 9. Jaringan, Teknologi wireless.
Articles 1 Documents
Search results for , issue "vol 6 no 2 (2026)" : 1 Documents clear
A Web-Based Library Management System with Notifications and AI-Powered Search at SMAN 1 Tambang Ilvi Maulidya Nurulisa; Asrul Huda; Dedy Irfan; Vera Irma Delianti
Jurnal Vokasi Teknik Informatika Vol 6 No 2 (2026)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/qg572250

Abstract

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.

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