E-read club system (ERCS) with implementation of personalization theories

• Main Authors: Azahari, N.A (Author), Hamid, N.H.A.A (Author), Samsudin, N. (Author)
• Format: Article
• Language: English
• Published: World Academy of Research in Science and Engineering 2019
• Subjects: Digital library; eBooks; E-Read Club system (ERCS); Personalization
• Online Access: View Fulltext in Publisher; View in Scopus

 As the world becomes more technologically advanced, many people tend to prefer to read electronic books rather than the traditional physical books as it is easier to access and downloadable, especially eBooks. Consequently, this project intended to facilitate people to keep an share their eBooks with other people using the system developed, in which it can also be a good repository for the users. Library of UiTM in Campus of Kuala Terengganu (UiTMCTKKT) has been chosen for this project because the users of the library always faced problems with difficulties of searching and getting electronic reading materials such as an eBooks. By using the system development life cycle (SDLC) methodology which is the adapted waterfall model, as well as, with the implementation of personalization theories, the E-Read Club system (ERCS) is being developed to overcome the problem. This ERCS has been evaluated by two experts and users through few criteria that are divided into seven (7) sections which include the content, efficiency, usability, ease of use, satisfaction, user interface and personalization of the website. Hence, the experts are satisfied with the overall usability of the system. Apart from that, the evaluation that is carried out among 30 respondents shows that the highest construct is the usability of the system with the highest mean of 4.448 (StDev = 0.506) in which the result indicated that the users agree that the system is easy to be used. To sum up, this system is expected to help users to easily get and share the eBooks while making it as their eBooks repository where they can manage and organize their eBooks easily. By implementing the personalization theories, the users will be able to get recommendations based on their behavior on the site and it will help to attract more attention of the users towards the system. © 2019, World Academy of Research in Science and Engineering. All rights reserved.