Evaluation of Acceptance of Recommender System-Based Academic Information System Using WebQUAL Method

Abstract

This study aims to evaluate the acceptance level of a web-based recommender academic information system at the Informatics Engineering Department of Halu Oleo University using the WebQual 4.0 method. The evaluation focuses on three main dimensions: usability, information quality, and interaction quality. A quantitative approach was employed by distributing questionnaires to 40 active system users. The collected data were analyzed descriptively and complemented with reliability, validity, and multicollinearity tests to ensure the consistency of the instruments. The results show a Cronbach’s Alpha value of 0.743, indicating good reliability, and no multicollinearity issues were found in the regression model. Based on the evaluation, the system obtained high average scores in usability (4.4–4.5), information quality (4.4–4.7), and interaction quality (4.4–4.6). These findings indicate that the web-based recommender system significantly improves academic service efficiency through easy access, faster data management, and better user interaction. The results serve as a foundation for developing a more responsive, secure, and interactive academic information system to enhance service quality and user satisfaction.