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

The traditional process of smoking fish, which is widely used in coastal regions, poses significant challenges due to
its labor-intensive nature, constant supervision, and difficulty 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 revolutions per minute (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 a temperature sensor. The
temperature difference between the sensor and the analog thermometer was found to be 0.1 – 0.5oC, proving that the
temperature on the IoT system is not very different from the analog thermometer. Furthermore, the blower RPM
control results showed that the system could maintain the temperature in the optimal range (75 – 90oC) for smoking
the fish, with a maximum deviation of 1°C, and the blower RPM can be adjusted through the control in the IoT system.
In general, the use of IoT can simplify machine operation for users.