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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Joule (Journal of Electrical Engineering)
Irvawansyah
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering

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Rancang Bangun Media Pembelajaran Konveyor Sistem SLG Berbasis HMI Ikhwana Filla; Irwandi; Ar ade jumadil; Irvawansyah; Syahrul Mustafa
Joule (Journal of Electrical Engineering) Vol 5, No 2: Agustus 2024
Publisher : Politeknik Bosowa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61141/joule.v5i2.804

Abstract

The study intended to create a learning medium tools for sorting systems, elevators, gates based on PLC, and to control systems for sorting objects, freight elevators and gates. The research methods applied to this study are problem identification, toolmaking, design, and testing. Based on tests conducted by the system can detect objects by using proximity infrared sensor by a range of 3 centimetres – 8 centimeter and can be regulated according to need and proximity inductive sensors with a range of 0-4 mm. this media use Infrared sensor range 8 cm and 5 cm while the inductive sensor used by the range 4 mm. Infrared sensors are also used to detect altitude in objects to be sorted. These media control systems are controlled using PLC. Programs for this medium can be created with the language program leadder diagram. For PLC and PC communication using LAN cables. The learning media uses 5 electric motor, three 5 VDC electric motor those are a gate electric motor, a sorting electric motor, and a booster electric motor as well as two 12 VDC electric motor those are conveyor and a freight elevator, so that to connect the SLG learning media to the PLC an additional relay is needed.
Modeling and Simulation of Heat and Airflow Control System in Fish Smoking Chamber using K-NN Muhammad Edy Hidayat; Sunding, Alang; Muhammad, Umar; Irvawansyah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 2, May 2026 (Article in Progress)
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i2.2492

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.
Co-Authors Ar ade jumadil Ikhwana Filla Irwandi Muhammad Edy Hidayat Sunding, Alang Syahrul Mustafa Umar Muhammad