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All Journal Applied Information Technology and Computer Science (AICOMS)
Made Hendy Wijaya, I
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Computer Science & IT

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Implementasi Sistem E-Book Rekomendasi Berbasis Web Sederhana Menggunakan Content-Based Filtering Supoyo, Bertrand; Fabiano Antonius Mamangkey, Xavier; Martien Mengko, Riky; Made Hendy Wijaya, I; Tarigan, Victor; Yusupa, Ade
Applied Information Technology and Computer Science (AICOMS) Vol 4 No 1 (2025)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/aicoms.v4i1.1789

Abstract

The rapid expansion of digital libraries necessitates efficient recommendation systems to help users discover relevant e-books. This study presents the implementation of a simple web-based e-book recommendation system using content-based filtering, developed with the Next.js framework to enhance web loading speed and performance. The system analyzes book metadata and textual content to generate personalized recommendations based on user preferences. Core functionalities include a responsive user interface, book similarity calculations using and cosine similarity, and real-time dynamic suggestions. By leveraging Next.js, the system benefits from server-side rendering (SSR) and static site generation (SSG), ensuring faster page loads and improved user experience. Experimental results indicate that content-based filtering effectively suggests relevant e-books but faces challenges such as the cold-start problem. Future work may integrate hybrid filtering techniques to improve recommendation accuracy and user engagement.
Co-Authors Ade Yusupa Fabiano Antonius Mamangkey, Xavier Martien Mengko, Riky Supoyo, Bertrand Victor Tarigan