<![CDATA[Traditional salted fish drying in Indonesia is highly dependent on weather conditions, often being disrupted by rain and unstable sunlight intensity. These limitations cause the drying process to take a long time (1–5 days) and increase the risk of contamination as well as product quality degradation. This study aims to design and develop an Internet of Things (IoT)-based automatic salted fish drying system with an adaptive open-close mechanism to overcome these problems. The methodology applied in this research is an experimental approach with a system design method. The system utilizes an ESP8266 NodeMCU microcontroller as the main controller integrated with temperature and humidity sensors (DHT22), a rain sensor, and a light sensor (LDR). Data from these sensors are processed to control a servo motor for automatically opening or closing the roof, while also controlling the heater and fan to maintain ideal conditions inside the drying chamber. In addition, the system is equipped with a remote monitoring feature through the Telegram application. The testing results show that the IoT-based automatic salted fish drying system has measurable quantitative performance. Based on the experiments, the traditional drying method required 1–5 days, whereas the automatic system only required 18 hours, resulting in a time efficiency improvement of 62% to 85%. Furthermore, latency testing showed that the average system response time in sending notifications from the closed-roof condition to the Telegram application was 7.16 seconds based on 10 trials. Regarding environmental parameters, the average temperature was 30.35°C, indicating relatively stable heating conditions, while the average humidity was 78.6%. In conclusion, this system has proven to be highly effective in improving the efficiency of the drying process, protecting the product from adverse weather conditions, and providing convenience for remote monitoring for salted fish producers.]]>
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