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All Journal (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
I Made Teja Sarmandana
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Computer Science & IT

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Penerapan Metode Content Based Filtering Dan K-Nearest Neighbor Dalam Sistem Rekomendasi Musik I Made Teja Sarmandana; I Made Widiartha; Luh Arida Ayu Rahning Putri; I Gede Santi Astawa
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 13 No 1 (2024): JELIKU Volume 13 No 1, August 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Current technological developments are able to change the way the younger generation enjoys music, where music can now be packaged in digital form, which is a new innovation in the music industry in Indonesia. Given the large amount of music data available on the internet, a system that provides services for users to search for their favorite music is really needed. The recommendation system will provide relevant information based on the preferences that the user wants to search for. Content Based Filtering recommends that users utilize the information contained in the data to use as parameters. The K-Nearest Neighbor (K-NN) algorithm is a method of classifying objects based on the closest training data to the object under test. In this study, accuracy testing techniques were used to measure the performance of the classification that has been carried out. The classification process that was created succeeded in obtaining the highest accuracy value at 90,49% with a value of k=9 which shows that the classification and recommendation process can run quite well. Keywords: Accuracy, Content Based Filtering, Classification, Recommendation System, K-Nearest Neighbor, Music
Co-Authors I Gede Santi Astawa I Made Widiartha Luh Arida Ayu Rahning Putri