Prediction Of Clay Mining Production Value Using Linear Regression Model With Multi-Swarm Particle Swarm Optimization

Authors

  • Gusti Eka Yuliastuti Informatics, Faculty of Electrical Engineering and Information Technology, Adhi Tama Institute of Technology Surabaya, Indonesia
  • Muchamad Kurniawan Informatics, Faculty of Electrical Engineering and Information Technology, Adhi Tama Institute of Technology Surabaya, Indonesia
  • Dimas Pratikto Informatics, Faculty of Electrical Engineering and Information Technology, Adhi Tama Institute of Technology Surabaya, Indonesia
  • Mochamad Rizky Moneter Informatics, Faculty of Electrical Engineering and Information Technology, Adhi Tama Institute of Technology Surabaya, Indonesia

DOI:

https://doi.org/10.52436/1.jutif.2025.6.3.3443

Keywords:

linear regression, mining production, multi-swarm, particle swarm optimization

Abstract

The progress of a nation or a country can be recognized from its income through various industries inside. Mining refers to one of the most advanced industries in Indonesia. The majority of mining in Indonesia is open-pit mining which is exposed directly to the sky. This study focuses on modeling data from rainfall, working hours, and production yields. It employed the Multi-Swarm Particle Swarm Optimization (MSPSO) algorithm to find multiple linear regression modeling by minimizing the Mean Squared Error (MSE) value. The value for the production results was then predicted using the existing multiple linear regression model. In terms of testing, the best model having an MSE of 288.0656 occurred at the parameters of Npop 180, acceleration coefficient 1 by 0.7, acceleration coefficient 2 by 0.7, acceleration coefficient 3 by 0.7, wmin 4, wmax 9 within 100 iterations.

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Additional Files

Published

2025-06-10

How to Cite

[1]
G. E. Yuliastuti, M. Kurniawan, D. Pratikto, and M. R. Moneter, “Prediction Of Clay Mining Production Value Using Linear Regression Model With Multi-Swarm Particle Swarm Optimization”, J. Tek. Inform. (JUTIF), vol. 6, no. 3, pp. 1069–1080, Jun. 2025.

Issue

Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025

Section

Articles

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Copyright (c) 2025 Gusti Eka Yuliastuti, Muchamad Kurniawan, Dimas Pratikto, Mochamad Rizky Moneter

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This work is licensed under a Creative Commons Attribution 4.0 International License.