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Vol. 11, No. 2, May 2026 (Article in Progress)

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Modeling and Simulation of Heat and Airflow Control System in Fish Smoking Chamber using K-NN

https://doi.org/10.22219/kinetik.v11i2.2492
Muhammad Edy Hidayat
Politeknik Bosowa
https://orcid.org/0000-0003-4398-6618
Alang Sunding
Politeknik Bosowa
Umar Muhammad
Politeknik Bosowa
Irvawansyah
Politeknik Bosowa

Corresponding Author(s) : Muhammad Edy Hidayat

muhammadedyhidayat@gmail.com

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 11, No. 2, May 2026 (Article in Progress)

Abstract

This study presents the modeling and simulation of a heat and airflow control system in a fish smoking chamber using the K-Nearest Neighbors (K-NN) algorithm. Accurate control of temperature and airflow is crucial for ensuring consistent product quality, flavor, texture, and microbial safety in smoked fish. Traditional methods often face challenges in maintaining stable chamber conditions due to nonlinear interactions between heat sources, airflow distribution, and chamber geometry. The research was conducted through a structured methodology consisting of system modeling, K-NN algorithm development, simulation, and performance evaluation. The results show and demonstrate that the K-NN model achieved optimal performance at k = 5, with an overall prediction accuracy of 92.8%. The Root Mean Square Error (RMSE) was recorded at 1.85 °C for temperature prediction and 0.18 m/s for airflow, confirming the model’s robustness. Compared with conventional approaches, K-NN outperformed Linear Regression and achieved higher accuracy with less complexity than Artificial Neural Networks (ANN). The implications of these findings show that predictive modeling enables better process stability, reduces the risk of uneven smoking, and lowers energy consumption. The novelty of this research lies in the dual prediction of heat and airflow, providing a comprehensive framework for smart control in traditional food processing. While the study is limited to simulations, it offers valuable insights for future experimental implementation and integration into intelligent smoking chamber systems.

Keywords

Fish Smoking Chamber Heat and Airflow Control K-NK-Nearest Neighbor Algorithm Modeling and Simulation
Muhammad Edy Hidayat, Sunding, A., Muhammad, U., & Irvawansyah. (2026). Modeling and Simulation of Heat and Airflow Control System in Fish Smoking Chamber using K-NN. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 11(2). https://doi.org/10.22219/kinetik.v11i2.2492
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