INFOKUM
Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence

IMPLEMENTATION OF THE NAIVE BAYES ALGORITHM IN DETERMINING THE WEB-BASED TASTE RATING OF PROMISE JIWA COFFEE

Ramayana Ramayana (Universitas Prima Indonesia)
Sri Mellyani (Universitas Prima Indonesia)
Yogi Yogi (Universitas Prima Indonesia)
Siti Aisyah Siti Aisyah (Universitas Prima Indonesia)



Article Info

Publish Date
30 Jun 2022

Abstract

Coffee drinks are very much in demand by many people starting from young people to parents, with that it raises the idea of ​​opportunities for the community to open a coffee drink business made with various kinds of coffee flavor collaborations, for example: milk coffee, pokat coffee, americano. One of them is the soul's promise coffee which has a lot of demand and requires a method to solve problems in obtaining data information on the most desirable types of coffee, namely using the naive bayes method so that entrepreneurs can provide coffee stocks. The existence of this method helps in analyzing the amount of data that is processed with a website-based system. So that the results from the sales data of Kopi Promise Jiwa Kopi are in great demand, namely the regular menu earl gray tea cup 0.81, large soy coffee latte and pandan coffee 0.52 cups, hot latte cups 0.11.

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Journal Info

Abbrev

infokum

Publisher

Subject

Computer Science & IT

Description

The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the ...