ANALISIS SENTIMEN GOOGLE CLASSROOM BERDASARKAN ULASAN PADA PLAY STORE DENGAN ALGORITME K- NEAREST NEIGHBOR

Google as a web tool platform that is very interesting and has many functions introduces a special application to help carry out learning, namely Google Classroom. Google Classroom helps teachers to create and organize classwork quickly and easily, provide direct student feedback efficiently, and communicate with students without being limited by space and time. One way to determine the success of an application is to conduct a sentiment analysis of the application. In this study, sentiment analysis was taken from reviews on the Play Store for the Google Classroom of 930 reviews, after pre-processing, with positive sentiments 149 and negative sentiments 781. From calculations using the K-NN (K-Nearest Neighbor) Algorithm method. resulted in the performance value of Accuracy 91.61%, Precision positive 79.83%, Precision negative 93.34%, Recall positive 63.76% and Recall negative 96.93%. The level of classification accuracy in this study includes Good Classification.