<![CDATA[Academic information systems are a primary channel for students to access academic services, so user intention and perceptions of system quality need to be evaluated systematically. This study verifies a Principal Component Analysis (PCA) workflow for summarizing student-interest indicators toward an academic information system. The instrument contains 18 Likert-scale indicators covering perceived usefulness, perceived ease of use, information quality, system quality, accessibility, and behavioral intention. Because field data were not yet available in the source report, the analysis uses 180 simulated questionnaire records and is interpreted as methodological verification rather than an empirical survey of Universitas Budi Darma students. Internal consistency reached Cronbach's alpha 0.888; KMO was 0.887; and Bartlett's test was significant (chi-square=1354.07, df=153, p<0.001). Four components with eigenvalues above one explained 62.66% of total variance. Varimax rotation produced interpretable groups representing usefulness/ease, information/system quality, accessibility, and behavioral intention. Mean behavioral intention was 3.51, with 53.9% of simulated respondents classified as high interest. These results show that PCA can simplify correlated indicators, but empirical conclusions require actual survey data and replication of the analysis.]]>
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