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Clustering is an information analysis process which is often used as one of the processes for Data Mining which aims to collect information that has the same character in the same area and information that has a different character to other areas. In the research conducted, what will be the goal or target in this research is to know the process of clustering thesis titles at Harapan University, Medan, to know how the K-Means algorithm works in Clustering thesis titles, applying the K-Means algorithm. The formulation of the problem built in this study is how the process of grouping thesis titles in the Harapan Medan University library by applying the K-Means Clustering algorithm so that it will be able to facilitate the grouping process. The application is built using the PHP programming language and MySQL as the database. The K-Means method is a method that performs the clustering process for each existing thesis title. The research conducted creates new information, namely by Clustering data from the thesis title based on the field of the title itself where each result can be seen in each data cluster. From the results of the research conducted, it can be concluded that the K-Means algorithm is an algorithm that is able to group some data quickly and precisely so that the data containing the title of the thesis can be seen according to the respective data groups.
Keywords: k-means, clustering, thesis title, theme, data mining
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