摘要：Introduction. UPT Unsyiah Library is one of the facilities in Syiah Kuala University which provides book lending service to users.The library collects all information and has expanded a big data of book lending.Data Collection Method. This research aims to determine the relevance pattern between the book subject and the borrower's program of study, and to determine the pattern of book borrowing based on books that are often borrowed simultaneously. The pattern can be found using one of the methods of data mining that is the association rules mining with Eclat algorithm. Eclat algorithm uses vertical format of dataset to intersect TID list between items in determining support count so that the process of searching frequent itemset is faster.Analysis Data. There are 122.945 book lending data from 2007 to 2015 used in this study. These data show the borrowers’ behavior pattern of book lending behavior in UPT Library Unsyiah, especially the borrowers who are student of this university. Results and Discussions. The Eclat algorithm produces the most frequent and repeatable pattern of book subjects and program of studies from several years of research data, which are Accounting book subjects with its program of study (S1) and Chemistry book subjects with Chemistry Education program of study (S1).Conclusions. The analysis result for the book subject pattern and program of studies shows that the habit of Unsyiah students in borrowing books from the library is accordingly to their program of studies. As for the patterns between books, Eclat algorithm found linkage between books and most often repeated from several periods of years of research data is the book code of 12311 (Fundamentals of educational evaluation) with 42265 (Introduction to evaluation of education).
