Sistem Rekomendasi Buku Perpustakaan Sekolah menggunakan Metode Content-Based Filtering

Ryky  Ardiansyah; Mufti Ari Bianto; Bagus Dwi  Saputra

doi:10.37859/coscitech.v4i2.5131

Ryky Ardiansyah Universitas Muhammadiyah Lamongan
Mufti Ari Bianto Lamongan
Bagus Dwi Saputra Universitas Muhammadiyah Lamongan

https://doi.org/10.37859/coscitech.v4i2.5131

Keywords: recommendation_system, content based filtering, cosine similarity, TF-IDF

Abstract

The Book is a source of knowledge and information that can enhance students' understanding of various topics. Students often struggle to find books that match their preferences due to a lack of information about various types of books. One way to manage this information is through the use of a recommendation system. Recommendation systems have proven to be effective in dealing with the vast amount of available information and providing book recommendations based on user preferences. This research aims to create and develop a system that can provide book recommendations to students based on their interests using the PHP programming language. The book data used in this research consists of 517 book entries obtained from Muhammadiyah 8 Sukodadi High School library. The method employed in this research is content-based filtering. To perform weighting and calculate the similarity level between book data, the researcher utilized the TF-IDF algorithm and cosine similarity to measure the similarity between vector A and vector B. Based on the testing results of the constructed system, it is capable of providing recommendations based on the similarity level between books by producing a cosine similarity weighting score of 0.358. This value indicates that the system's calculations are successful in providing recommendations that align with the cosine similarity score calculation method.

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