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There are various types of laptops that make consumers experiencing confusion in determining choices fitting the criteria that consumers want. The K-Nearest Neighbor (K-NN) algorithm was chosen since K-NN algorithm is a model that can classify data based on the closest distance. This system was created to help consumers in choosing a laptop based on purchasing objectives such as for gaming, design, and office, price, also specifications of the desired laptop. This system helps providing a reference to consumers in determining the laptop that suits their needs. Based on consumer satisfaction test which is carried out to ten consumers, eight out of ten people agree to the given recommendations. The percentage of satisfaction is 80%, therefore the created laptop recommendation was considered successful.

IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR PADA WEBSITE REKOMENDASI LAPTOP