<![CDATA[The development of Internet of Things (IoT) technology has made a significant contribution to the advancement of monitoring systems in the maritime sector, particularly in supporting the safety and operational efficiency of vessels. One of the common problems encountered in traditional fishing boats is overheating in the pod propulsion unit due to the limited availability of real-time temperature monitoring systems. This study aims to design and implement an IoT-based temperature monitoring system for the pod propulsion unit of traditional fishing boats using an ESP32 microcontroller. The developed system utilizes DHT11 and BMP180 sensors to detect temperature, humidity, and pressure parameters in the engine environment, and transmits the data in real time to the ThingSpeak cloud platform via an internet network. This research employed an experimental engineering approach consisting of hardware design, software integration, system testing, and monitoring performance analysis. Testing was conducted on an engine simulator and a traditional fishing boat with data acquisition intervals of 10–20 minutes. The results show that the system is capable of monitoring temperature in real time, displaying data locally through an OLED LCD, and providing remote visualization through a cloud-based platform. The system can also present continuous temperature data and facilitate engine condition monitoring to support overheating prevention. However, system performance is still influenced by internet connection stability and the limited accuracy of the DHT11 sensor at high temperatures. This study contributes to the development of an energy-efficient, easy-to-implement IoT-based maritime monitoring system suitable for traditional fishing boats in Indonesia.]]>
Copyrights © 2026
