Klasifikasi Opini Dengan Menggunakan Algoritma K-Nearest Neighbor Pada Berita Vaksinasi Di Twitter

Rapid technology development leads to heap of massive data. The big amount of the data should be utilized properly. The purpose of data utilization is to help users to get crucial information from the formed data patterns. The amount of crucial data can be obtained from social media i.e., twitter. Twitter is a social media that has approximately 50 million users in Indonesia. By having so many users in Indonesia, the twitter data can be utilized for many purposes. This research is interested to formed data from the twitter by using one of the algorithms which is K-Nearest Neighbor Classifier or KNN. The KNN work system is to calculate the closest distance from the test record to the test record using the test scenario method. The result of the KNN process is the shortest distance from the test record to the test record of K as needed. Keywords— twitter, data mining, classification, k-nearest neighbor classifier, euclidean distance.