<![CDATA[Digital transformation in higher education requires integrated information systems that support operational efficiency, data consistency, and accountable governance. Payroll management is a critical administrative process because it involves employee master data, compensation components, taxation, and social security contributions. At Universitas Muhammadiyah Riau, payroll processing previously relied on separated data flows that increased the risk of duplicate entry, inconsistent employee data, delayed payroll generation, and calculation errors. This study aims to examine whether an API-based integrated payroll system connected to SMART UMRI can resolve these problems, using employee and payroll data sourced from the SMART UMRI database. The system was developed using Rapid Application Development and implemented as a RESTful API architecture with HMAC authentication, HTTPS, IP allowlist, role-based access control, and audit trail. Evaluation covered functional testing, API integration, payroll validation, security assessment, and performance testing with Apache JMeter. The results show successful synchronization of employee master data, payroll calculation accuracy with zero difference against manual validation, and stable API performance with 0% error rate in operational testing, confirming that the problems identified before the integration have been resolved. The system improves payroll transparency through digital payslips and traceable logs. The model is feasible for deployment in higher education institutions.]]>
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