IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR PADA WEBSITE REKOMENDASI LAPTOP

Abstract

There are various types of laptops that make consumers or prospective buyers have difficulty in making choices accurately and precisely. The K-Nearest Neighbor (K-NN) algorithm was chosen because the K-NN algorithm is a form of model that can help classify data based on the closest distance. This system is designed to help prospective buyers in choosing a laptop based on purchase objectives such as gaming, design, and office, price, also specifications regarding the desired laptop. This system helps provide a shadow or reference to users or prospective buyers in determining the selection of laptops as needed. Based on user satisfaction test, from testing carried out to 10 users. As a result, 8 out of 10 people answered with the answers agreeing with the results of the recommendations given, with the results of the percentage of satisfaction with the recommendations of 80%, therefore the recommendations of laptops made were declared successful