Media of Computer Science
Vol. 1 No. 1 (2024): June 2024

Enhanced Laptop Recommendation System Using Tsukamoto Fuzzy Logic

Nasrullah, Asmaul Husnah (Unknown)
Adiba, Fhatiah (Unknown)
Anastasia, Tezza (Unknown)
Farghina, Syakira Ayma (Unknown)
Akbar, Muh. (Unknown)

Article Info

Publish Date
19 Jul 2024

Abstract

One of the most popular and rapidly growing needs among the general public is laptops. Currently, there are many types of laptops with varying features, and not everyone knows the advantages and disadvantages of each type. The purpose of this research is to develop and build a Fuzzy inference system that applies the Tsukamoto method. This is to address issues in providing unclear or inaccurate services to customers during the laptop sales process. By developing a recommendation system that can provide guidance or suggestions in purchasing a laptop based on interest and needs in searching for references, and the type of laptop that meets the criteria. The decision to purchase a laptop uses parameters such as screen size, RAM capacity, SSD capacity, and price. The implementation of the Fuzzy Tsukamoto method for providing laptop purchase recommendations is able to give good recommendations.

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Journal Info
Media of Computer Science
Website

Abbrev

mcs

Publisher

CV. Digital Innovation

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science

Description

Media of Computer Science (MCS), a two times annually provides a forum for the full range of scholarly study . MCS focuses on advanced computational intelligence, including the synergetic integration of neural networks, fuzzy logic and eveolutionary computation, so that more intelligent system can ...