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This study aims to assess the readiness of Islamic Higher Education Institutions (IHEIs) to enter the third wave of education or future quality assurance.

This study used a descriptive quantitative method with observation, documentation, a questionnaire and an interactive model. The sample population included lecturers and quality assurance managers in IHEIs, totaling 129 respondents.

The results showed that IHEIs were prepared to implement future quality assurance to meet individual and societal needs. Furthermore, readiness was also shown in the following matters: Relevance of higher education institution vision, implementation of tripilization learning in higher education institutions, understanding of other cultures (cross-cultural sharing), application of multiple development models and noble values of local wisdom and national culture in tri-dharma.

This study focused on the third wave of education quality assurance in IHEIs in Indonesia. However, the analysis was not conducted in all Indonesian universities as it specifically examined the readiness for implementing future quality assurance.

Policymakers should follow up on the readiness for implementing future quality assurance as a form of continuous improvement in managing the quality of IHEIs.

Most publications of quality assurance focused on compliance-oriented issues. However, this study aimed to fill the literature gaps and discuss the future quality assurance of IHEIs in Indonesia. In this context, future quality assurance was also known to guide IHEIs in rendering education relevant to the future needs of generations (graduates).

Reading habit plays a pivotal role in individuals' personal and academic growth, making it essential to encourage among campus users. University libraries serve as valuable platforms to promote reading by providing access to a diverse range of books and resources. Recommending books through personalized systems not only helps campus users discover new materials but also enhances their engagement and satisfaction with the library’s offerings, contributing to a holistic learning experience.

This study presents a web-based solution, the Web-Based Hybrid Intelligent Book Recommender System (W_HybridBook), as a solution that addresses challenges like cold start issues and limited scalability by factoring in user preferences and item similarities in generating book recommendations. The paper improves the traditional hybrid system using Genre-Oriented Profiles (GOPs) instead of original rating profiles of users when determining similarities between individuals. Consumption-based genre profiles (W_HybridBook-CBP) are created by assessing whether an item has received any ratings in the dataset, and vote-based genre profiles (W_HybridBook-VBP) are generated by considering the genre categories based on the magnitude of the user’s rating.

The comparative results indicated that users are quite satisfied with the recommendations generated by W\_HybridBook-VBP profiling, with an average rating of 4.0633 and a precision value of 0.7988. W\_HybridBook-VBP is also the fastest way with respect to the algorithm and recommendation run time.

The proposed W\_HybridBook has been then enhanced by adopting two user profiling strategies to boost the similarity calculation process in the recommendation generation phase. This system provides ranking-based recommendations by mainly integrating well-known collaborative and content-based filtering strategies. A dataset has been collected by considering the preferences of both users and academics at Izmir Bakircay University, which is one of the universities with the highest number of books per student. More importantly, this dataset has been released and become publicly available for future research in the recommender system field.