Design and Implementation of IoT Systems for Real-Time Monitoring-Based Optimization of Logistics Warehouse Management

Abstract

Digital transformation in the logistics sector is driving the need for a more adaptive, responsive, and real-time data-based warehouse management system. One of the strategic solutions that is developing is the application of the Internet of Things (IoT) to automatically monitor and control the condition of the warehouse environment. This research aims to design and implement an IoT system based on real-time monitoring to improve operational efficiency and risk mitigation in the warehousing environment. The research method used is a qualitative study with a case study approach, involving the design of a three-layer system architecture (sensor, gateway, dashboard) and testing the performance of sensors in a simulated warehouse environment. Data were collected through observation, interviews, and documentation, and analyzed using thematic techniques to evaluate the effectiveness of the system. The results show that IoT systems are able to perform real-time monitoring with an average sensor response time of less than two seconds. Web-based dashboard integration improves data access and accelerates adaptive decision-making. The User Acceptance Test (UAT) shows a high level of user satisfaction, especially in terms of ease of use and data accuracy. The conclusion of this study confirms that the application of real-time-based IoT not only improves warehouse operational efficiency, but also strengthens resilience to environmental risks. The practical implications of this study are driving the adoption of IoT-based smart warehouses as part of future logistics transformation.