The significant increase in the number of scientific articles published each year presents challenges in managing and utilizing information efficiently. This research aims to develop an automatic scientific article clustering system using a combination of RoBERTa method and K-Means algorithm, as well as evaluate its performance based on the Silhouette Score. The research data consists of 8,675 …