Implementation of K-Means and K-Nearest Neighbor Methods for Laptop Recommendation Websites
Vincentius Riandaru Prasetyo, Mohammad Farid Naufal, Budiarjo · Atlantis highlights in engineering/Atlantis Highlights in Engineering · 2023
Along with technology development, laptops are becoming increasingly popular and are handy tools in everyday life.However, with so many brands and laptops available, people often find it difficult and need help choosing the laptop that best suits their needs and desires.A website-based system has been created to provide laptop recommendations based on user needs and preferences.This system uses the K-Nearest Neighbor (KNN) method to classify user input with datasets that have been grouped using the K-Means method.Thus, users can choose the right laptop according to their needs with the help of this system.Based on the tests' results, the highest accuracy in the training process is 97%, with a total dataset of 1000 data, which comes from the websites versus.comand arenalaptop.com.Whereas for the validation results obtained from 51 users, the majority stated that the recommendation results were by the criteria of the users.