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Website Quality Analysis of Glints on User Satisfaction Using WebQual 4.0 and Perceived Trust Azizah, Aulia Wafiq; Dewangga, Danang Ary; Arifah, Ika Diyah Candra
ILKOMNIKA Vol 8 No 2 (2026): Volume 8, Number 2, August 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i2.893

Abstract

A high bounce rate of 60.03% on the Glints job portal signals potential user experience flaws, revealing a critical gap between high traffic volume and actual user engagement. Therefore, this research investigates the direct impact of usability, information quality, service quality, and perceived trust on user satisfaction. We applied a quantitative approach based on the WebQual 4.0 model, collecting survey data from 200 purposively sampled users. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis confirms that these four exogenous factors positively and significantly enhance satisfaction. The combined framework is highly accurate, predicting 83.3% of the dependent variable. Notably, service quality had the most significant influence, with a path coefficient of 0.285 (t = 4.037, p < 0.001). The key contribution of this study is the addition of perceived trust to the WebQual 4.0 framework, which also proved vital regarding job legitimacy and data security. Consequently, future platform optimizations should focus on responsive services, rigorous job screening, and clear privacy standards.