Design and Evaluation of a Flutter Node.js Mongo DB System for Hospital Nutritional Inventory Auditing
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Manual auditing of hospital nutritional supplies often results in delays, transcription errors, and discrepancies between physical stock and system records. This study designed and evaluated a mobile-cloud inventory auditing system for the nutritional installation at RSUD Kraton Pekalongan. The system was developed using the Waterfall Software Development Life Cycle (SDLC) model and implemented with a Flutter mobile application, a Node.js backend, a MongoDB database, and Firebase-based data synchronization. Actual operational data from a one-month deployment in April 2025 were used to evaluate the system against the previous manual workflow. The results showed an input accuracy of 98.47% (1,226 valid entries out of 1,245), a 90% reduction in inventory discrepancies, and an 80% reduction in auditing time, from 4.5 hours to 0.9 hours per section. Furthermore, network latency evaluation showed an average optimized payload ingestion time of 0.8 seconds under stable connectivity, supported by a low database input/output (I/O) footprint of 310.91 B/s for inbound traffic. These findings indicate that the proposed system substantially improved data consistency, reduced the burden of manual transcription, and accelerated hospital logistics auditing without requiring excessive network bandwidth. The study contributes a validated implementation model for mobile-cloud inventory management in healthcare settings and provides a practical foundation for future predictive inventory planning.
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