Abstract:

Library has massively developed from traditional services to digital services in recent years. The demand from library patrons, institutions, colleges, and private organization needs and technology evolution, has changed the library setting either in budget allocation or in decision making approach. This study analyzes the borrowing transactions at private university’s Digital Library users through application of bibliomining process. The objectives of this study are to identify decisions that can be predicted made from the bibliomining process and to discover the trends of popular subjects searched by library users. In answering the research questions, data from the university’s Digital Library database was used to examine the process where unsupervised clustering method was employed for segmentation of subject searched into homogenous groups. Bibliomining process that are similar with data mining fields are tools used to visualize the results. The finding found that 8 cluster groups with subjects’ interest, borrowing trend of library users and popular subject and classification used. Library authority may use this finding to assist them in decision making to reduce the cost in budget expenses and to recommend to the top management for new services that could be offered.