Authors:

I Gusti Ngurah Agung Dharmawangsa, I Wayan Supriana

Abstract:

“Purchasing a new laptop will be difficult if we do not know what the ideal laptop specification for our needs. Especially with a wide selection of laptops. From this problem, system that can give a recommendation to choose the right laptop based on purchaser’s specification choice is needed. This research using two method, Case Based Reasoning and Naive Bayes. The concept of Case Based Reasoning is the process of solving new problems based on the solutions of similar past problems, While Naive Bayes assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature. Naive bayes will be implemented in retrive process of case based reasoning. The recommender system utilizing 7 feature, Kecepatan Processor, Kapasitas Ram, Tipe Grafis, Ukuran Layar, Ukuran Harddisk, Kecepatan Layar, and Harga. The percentage of respondents who said the system was successful in providing the right recommendations was 70 percent of the total respondents.”

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PDF:

https://jurnal.harianregional.com/jlk/full-64447

Published

2021-02-18

How To Cite

DHARMAWANGSA, I Gusti Ngurah Agung; SUPRIANA, I Wayan. Case Based Reasoning And Naive Bayes Implementation In Laptop Purchasing Recommender System.JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 9, n. 3, p. 411-418, feb. 2021. ISSN 2654-5101. Available at: https://ojs.unud.ac.id/index.php/JLK/article/view/64447. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/JLK.2021.v09.i03.p13.

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ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 9 No 3 (2021): JELIKU Volume 9 No 3, Februari 2021

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License