Application of Data Mining to Recommend NAS Product Series to Potential Toko Storage Customers Using Multinomial NaÃ¯ve Bayes Algorithm
Keywords:Data Mining, Multinomial NaÃ¯ve Bayes, Network Attached Storage
Toko Storage is a trade name used by PT. Distributor Trimitra Indonesia to sell various kinds of Network Attached Storage products. The number of NAS products that are sold with different prices and specifications, sometimes makes it confusing and even makes it difficult for potential consumers to choose the right NAS product. So it is not uncommon for them to ask about NAS recommendations to store admins. The process of providing recommendations is carried out through a question and answer session related to NAS needs. The process of giving recommendations sometimes takes a long time because they have to wait for answers from potential customers. Therefore, a research was conducted that aims to design a system that is able to provide recommendations for NAS product series to potential customers by applying data mining methods and multinomial naÃ¯ve bayes algorithms. The results of the application of the methods and algorithms used have proven to be successfully implemented on the data used, this is evidenced by the results of tests and evaluations carried out using the help of the Weka application which produces an accuracy value of 95.5556%. The final result of this research is the design of a web-based NAS product series recommendation system that can be used by users to get NAS product series recommendations quickly and precisely, just by entering the NAS criteria they are looking for.
How to Cite
Copyright (c) 2022 Fernando Verdy Sunata, Susanto Hariyanto, Dicky Surya Dwi Putra, Hartana Wijaya
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, the copyright of the article shall be assigned to the journal Algor, Universitas Buddhi Dharma as the publisher of the journal.
Copyright encompasses exclusive rights to reproduce and deliver the article in all forms and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations. The reproduction of any part of this journal, its storage in databases, and its transmission by any form or media, such as electronic, electrostatic, and mechanical copies, photocopies, recordings, magnetic media, etc., will be allowed only with written permission from journal Algor.
journal Algor, the Editors, and the Advisory Editorial Board make every effort to ensure that no wrong or misleading data, opinions, or statements be published in the journal. In any way, the contents of the articles and advertisements published in the journal Tech-E, Universitas Buddhi Dharma are the sole and exclusive responsibility of their respective authors and advertisers.