The Effect of Information System X on Employee Performance at PT. ABC Using Multiple Linear Regression

Abstract

Enterprise resource planning (ERP) systems play a critical role in supporting logistics operations; however, technical limitations and inaccurate shipment information can adversely affect employee performance. At PT ABC, Information System X experienced unstable network connectivity, limited concurrent user access, and incomplete shipment data. This study aimed to examine the relationships between system quality, information quality, and employee performance. A quantitative research approach was employed using questionnaire responses from 61 eligible employees selected from a population of 155. The research instrument consisted of 23 items measured on a five-point Likert scale, supplemented by interviews and participant observation. Data were analyzed using IBM SPSS Statistics 27 through instrument validity and reliability assessments, regression assumption tests, multiple linear regression analysis, and hypothesis testing. The results indicated that system quality was positively and significantly associated with employee performance (? = 0.272, p = 0.030), while information quality demonstrated a stronger positive association (? = 0.506, p < 0.001). Both independent variables were jointly significant in explaining employee performance (F = 30.292, p < 0.001), with an adjusted coefficient of determination (adjusted R²) of 0.494, indicating that the model explained approximately 49.4% of the variance in employee performance after adjustment for the number of predictors. These findings highlighted the importance of accurate and complete information, supported by reliable system functionality, in enhancing logistics operations. The study concluded that improving information accuracy, network connectivity, system accessibility, and employee training should be prioritized to support employee performance.