Conventional asset management in the IT Division of PT Pertamina Hulu Rokan (PHR) causes data redundancy, manual errors, and slow validation. This study aims to build a multi-platform asset management application to improve recording effectiveness. The system integrates Optical Character Recognition (OCR) for faster asset label identification and Role-Based Access Control (RBAC) for security. Quality testing utilized the ISO/IEC 25010 standard and experimental testing. Results show the application successfully bridges operational needs via a mobile platform (Android) for Field Officers and a desktop platform (Windows) for Admins. ISO/IEC 25010 testing confirmed all main functionalities work validly. Experimental testing proved the application significantly reduces data redundancy and human errors. In conclusion, this multi-platform architecture effectively creates a centralized, accurate, flexible, and real-time asset management ecosystem, outperforming conventional methods.
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