This study aims to evaluate the adoption and acceptance level of the Moodle Learning Management System (LMS) among health information management students, encompassing the Bachelor of Hospital Administration and Diploma of Medical Records and Health Information (RMIK) programs at STIKES Yayasan RS Dr. Soetomo Surabaya. Utilizing the Technology Acceptance Model (TAM) framework, this research analyzes the effects of Perceived Ease of Use (X1) and Perceived Usefulness (X2) on Attitude Towards Using (Y1) and their subsequent implications for Behavioral Intention to Use (Y2). A descriptive-associative quantitative approach was deployed in this study. The definitive sample size utilized consisted of 104 student respondents across various academic levels (2nd, 4th, and 6th semesters) selected via a stratified random sampling technique. Data analysis was performed using path analysis through hierarchical linear regression assisted by SPSS 26 software. The hypothesis testing results indicate that Perceived Ease of Use (X1) exerts a positive and significant direct effect on Attitude Towards Using with a beta coefficient (β) of 0.314 (p = 0.001). Similarly, Perceived Usefulness (X2) is proven to have a highly dominant and significant positive impact on Attitude Towards Using, with a beta coefficient (β) reaching 0.449 (p < 0.001). Furthermore, Attitude Towards Using (Y1) is empirically proven to contribute directly, positively, and significantly to determining Behavioral Intention to Use (Y2) with a beta coefficient (β) of 0.731 (p < 0.001). This testing model yielded an R-Square value of 0.466 in the first structural stage and 0.534 in the second structural stage. The practical implications of this research emphasize that digital learning management in health education institutions must be integratively synergized, both in terms of functional system stability and the user-friendly navigation of e-learning interface features. This strategy is highly crucial to strengthening students' digital readiness before directly confronting the complexities of hospital management information systems and electronic medical records within the future healthcare industry.
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