AccScience Publishing / IJOSI / Volume 9 / Issue 1 / DOI: 10.6977/IJoSI.202502_9(1).0005
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Systematic modernization of fish smoking method with the implementation of smoked fish machine based on Internet of Things technology

Rizal Justian Setiawan1,6* ,  Khakam Ma’ruf2 ,  Darmono .3 ,  Nur Azizah4 ,  Nur Evirda Khosyiati5
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1 Department of Industrial Engineering and Management, College of Engineering, Yuan Ze University, Zhongli, Republic of China
2 Department of Industrial Engineering, Faculty of Engineering, Gadjah Mada University, Yogyakarta, Republic of Indonesia
3 Department of Civil Engineering and Planning Education, Faculty of Engineering, Yogyakarta State University, Yogyakarta, Republic of Indonesia
4 Department of International Public Health, School of Public Health, China Medical University, Taichung, Repub-lic of China
5 Department of Culinary Technology Education, Faculty of Engineering, Yogyakarta State University, Yogyakarta, Republic of Indonesia
6 Department of Marketing Management, Faculty of Economics, Indonesia Open University, Jakarta, Republic of Indonesia
IJOSI 2025 , 9(1), 57–67; https://doi.org/10.6977/IJoSI.202502_9(1).0005
Submitted: 18 August 2024 | Revised: 9 October 2024 | Accepted: 11 October 2024 | Published: 19 February 2025
© 2025 by the Author(s). Licensee AccScience Publishing, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

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.

Keywords
Control
Fish
Internet of Things
Machine
Monitoring
Temperature
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International Journal of Systematic Innovation, Electronic ISSN: 2077-8767 Print ISSN: 2077-7973, Published by AccScience Publishing
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