Optimalisasi WMS (Warehouse Management System) dengan Pemanfaatan Internet of Things (IoT) di PT Nutrition and Special Foods: Studi Kasus pada Warehouse 4.0

This study aims to analyze the operational conditions of the raw material warehouse at PT Nutrition And Special Foods Division and evaluate the potential implementation of an Internet of things (IoT)-based warehouse management system (WMS) to improve the efficiency and accuracy of warehouse management. A descriptive qualitative approach was used, including field observations and interviews with several operators and warehouse staff. The findings indicate that the currently used manual system causes various obstacles, such as input errors, slow picking processes, and limited stock tracking capabilities. A simulation of WMS implementation using RFID and barcode technology showed significant improvements, including approximately 40% increase in picking efficiency, around 90% improvement in stock recording accuracy, and a reduction of input errors by up to 85%. The application of this technology also supports real-time tracking using FIFO/FEFO methods and enhances visibility and decision-making in logistics operations. Thus, the integration of RFID, barcode, and QR code in WMS proves effective in transforming warehouse management into a faster, more accurate, and responsive system aligned with supply chain dynamics.