This study aims to compare data from two different sources, namely social media data and data from the Electronic Traffic Law Enforcement (ETLE) system, using the K-Nearest Neighbor method, in terms of the similarity between the actual labels and predicted results. The findings indicate that the similarity between the actual labels and predicted results for social media data reached 87.69%, whi…