Information System Quality and Student Satisfaction: An Empirical Analysis of the SATU USU System at Universitas Sumatera Utara

Abstract

This study investigates the influence of information quality within the SATU
USU academic information system on student satisfaction at the Faculty of
Vocational Studies, Universitas Sumatera Utara. The research employs a
quantitative approach using Partial Least Squares–Structural Equation Modeling
(PLS-SEM) to analyze the relationship between information quality and student
satisfaction. A total of 105 respondents were selected from a population of 2,500
active students using the Slovin formula with a 10% margin of error. Information
quality was measured through five indicators: accuracy, completeness,
relevance, clarity, and timeliness. Student satisfaction was assessed using
indicators of ease of use, interface satisfaction, perceived usefulness, system
suitability, and overall satisfaction. The measurement model results demonstrate
strong validity and reliability, indicated by outer loading values exceeding 0.70,
Average Variance Extracted (AVE) values above 0.50, and composite reliability
values greater than 0.90. The structural model analysis shows an R-square value
of 0.802, indicating that information quality explains a substantial proportion of
the variance in student satisfaction. Bootstrapping results confirm a significant
positive effect of information quality on student satisfaction (β = 0.896; t =
30.165; p < 0.001). These findings highlight the critical role of high-quality
information in improving user satisfaction with academic information systems in
higher education institutions.