Dewi, Della Putri (2023) Analisis Penerapan Data Mining Pengelompokan Menu Di Kafe Sesuai dengan Tingkat Penjualan Menggunakan Metode K-Means (Studi Kasus : Breecaffe). Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

Breecaffe offers a variety of food and drink menus, a total of 53 menus with different prices. There are changes in sales, sometimes there is an increase and sometimes a decrease in the quality of the menu items being sold. In this problem, what happens is that the transaction data collected by Breecaffe is not used well as to improve transaction quality, but is only used as an archive of sales data, whereas if the data is analyzed correctly, it will be useful for increasing Breecaffe's sales. This study uses the data mining method with K-Means. In this study, it was found that the results of grouping it into 3 groups or clusters, namely there were sales with high, medium and low scale clusters. From each of these groups can later be seen for evaluation in order to increase sales. In essence, this research aims to assist cafes in determining which menus are sold more and which are not sold for evaluation, it is hoped that they can increase sales by clustering food and beverage menus using the K-Means algorithm.

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