Pradana, Diyo Sukma and Prajoko, Prajoko and Hartawan, George Pri (2022) PERBANDINGAN ALGORITMA CONTENT-BASED FILTERING DAN COLLABORATIVE FILTERING DALAM REKOMENDASI KEGIATAN EKSTRAKURIKULER SISWA. Progresif: Jurnal Ilmiah Komputer, 18 (2). pp. 151-160. ISSN 2685-0877

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Abstract

Extracurricular activities play an important role in developing students' creativity. However, the problem that is often experienced by students in determining the choice of extracurricular activities is choosing the right type of activity and in line with the interests and talents of students. This study aims to test and compare the performance of the Naïve Bayes-based Content-based Filtering and Collaborative Filtering models in recommending appropriate extracurricular activities for students. Testing of each model is done by dividing the training data and test data in a ratio of 80% and 20%. The training process uses the RecommenderNET Library. The accuracy of the Contend-based Filtering model was tested using Naïve Bayes of the Multinomial type, while the Collaborative Filtering model used the Gaussian type of Nave Bayes. The test results of the Naïve Bayes model for Content-based Filtering show an accuracy rate of 74%, while Collaborative Filtering obtains 56%.

Item Type:	Article
Uncontrolled Keywords:	Recommendation System; Naïve Bayes; Library RecommenderNET
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Sains dan Teknologi > Teknik Informatika
Depositing User:	Perpus ID UMMI
Date Deposited:	05 Jan 2023 01:04
Last Modified:	05 Jan 2023 01:04
URI:	http://eprints.ummi.ac.id/id/eprint/2880

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