Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal INFOKUM
Siti Aisyah Siti Aisyah
Universitas Prima Indonesia
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
IMPLEMENTATION OF THE NAIVE BAYES ALGORITHM IN DETERMINING THE WEB-BASED TASTE RATING OF PROMISE JIWA COFFEE Ramayana Ramayana; Sri Mellyani; Yogi Yogi; Siti Aisyah Siti Aisyah
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.269 KB)

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.
Co-Authors Ramayana Ramayana Sri Mellyani Yogi Yogi