Systematic modernization of fish smoking method with the implementation of smoked fish machine based on Internet of Things technology

Abstract

The traditional process of smoking fish, which is widely used in coastal regions, poses significant challenges due to its labor-intensive nature, the need for constant supervision, and the difficulty in maintaining stable temperatures. These issues often result in inefficiencies, inconsistent product quality, and potential safety hazards. Given the importance of the smoked fish industry in sustaining local economies in the coastal area of Indonesia, there is a critical need for more advanced, reliable, and efficient methods of fish smoking. This study addresses these challenges by developing an Internet of Things (IoT)-integrated monitoring and control system for the smoked fish machine. This study was conducted to develop a monitoring and control system for machines which includes turning on/off machine components, temperature monitoring, and blower RPM control. The results of the study showed that the implementation of IoT can activate machine components such as a blower, a servo motor, and a light. Moreover, IoT can monitor the machine temperature from a smartphone in real-time by integrating with a temperature sensor. The temperature difference between the sensor and the analog thermometer was found to be 0.1 - 0.5^oC, it was proving that the temperature on the IoT system was not much different from the analog thermometer. Furthermore, the blower RPM control results showed that the system could maintain the temperature in the optimal range (75-90^oC) for smoking the fish, with a maximum deviation of 1°C, and can adjust the Blower RPM according to the user's wishes through control from the IoT system. In general, the use of IoT that has been developed can make it easier for users to operate the machine.