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This study aims to design an Internet of Things – based monitoring system to meet safety requirements for humans and the environment and to perform simulations and experiments on a laboratory-scale gantry crane. In this study, several sensors were used; namely, the lidar sensor to detect the safe distance of the RTG (Rubber Tyred Gantry), the gyro sensor to measure the position/angle of the Spreader, the RFID (Radio Frequency Identification) sensor to detect the RTG position (block and slot), and the rotary encoder sensor to read position of the hoist and trolley motor. All sensors were connected to the controller, and the stored data was sent to the server via a LoRa (Long Range)-based communication system. The results of this sensor reading presented in a web-based dashboard monitoring system. The features of this monitoring system are monitoring hoist and trolley functions, spreader angle (trim and skew), crane position (block, slot, row, and tier), and the number and position of containers in the stacking column which will make it easier to monitor the crane work systems in real-time. The monitoring system was examined through laboratory-scale experiments. The results of the experiments are presented and discussed. [ABSTRACT FROM AUTHOR]