Application of the K-Means Algorithm in Determining the Best-Selling Restaurants on the Shopee Food Application in Karawang City

EasyChair Preprint 11378

Abstract

Determining the best restaurant and choosing the most popular restaurant on the Shopee food application is a major problem among people who want to enjoy fast food in the city of Karawang. Shopee Food is a food buying and selling application that is widely used by people to buy food online. Therefore, with this research, people can easily determine which restaurant they want to choose. One of the methods used in determining the best-selling restaurants in this study is by applying the K-Means Clustering Algorithm, by taking a data selection and processing approach. The results obtained in this study show that out of 100 restaurant data, it is divided into 5 clusters, of which among the 5 clusters there is only 1 cluster that has the best-selling restaurant data, namely cluster 0 with a total of 32 restaurants

Keyphrases: Clustering, K-means, Rapid Miner, Restaurant, Shopee Food

@booklet{EasyChair:11378,
  author    = {Agustia Hananto and April Hananto and Bayu Priyatna and Baenil Huda and Wahyu Pratama Setiawan},
  title     = {Application of the K-Means Algorithm in Determining the Best-Selling Restaurants on the Shopee Food Application in Karawang City},
  howpublished = {EasyChair Preprint 11378},
  year      = {EasyChair, 2023}}