Intelligent Library Systems with Data Analytics for Enhanced Customer Relation Management Towards Continuous Quality Improvement

The library in every institution has an important role in the education of the students and faculties. Building the right library system that has reliable features is very vital to provide good services to the customers of the library. The common problem in the library is how to fully utilize the collection materials of a certain library in the institution. In this study, the researchers addressed the said problem by proving a reliable timely generation of reports for the library department using descriptive analytics in terms of the library attendance, borrowing, extracting of the book collections; and the reports of 5 years recency of books to help in preparing a curriculum. In addition, the study also used the apriori algorithm for the recommendation of the related topics of the book for the enhanced searching of the users of the library. The study made use of prototyping methodologies to address the needs of the users in the library. The survey and questionnaires were used to the targeted users of the library to be familiarized to the process flow of the library. Based on the result of the evaluation using ISO 25010, for Non-technical users: Functional Suitability, Performance Efficiency, Usability, Reliability, Compatibility has ratings of 3.57 with an interpretation of Strongly Acceptable; for Technical users: Security, Maintainability, Portability has ratings of 3.58 with an interpretation of Strongly Acceptable. The researchers found out that the system really helps the library on providing a fully utilized system.