Modelling Multi Regression with Particle Swarm Optimization Method to Food Production Forecasting

Authors

  • Adyan Nur Alfiyatin Faculty of Computer Science, Brawijaya University, Malang 65145, Indonesia
  • Wayan Firdaus Mahmudy Faculty of Computer Science, Brawijaya University, Malang 65145, Indonesia
  • Yusuf Priyo Anggodo Data Scientist, Ilmuone Data, Jakarta 12190, Indonesia

Keywords:

Forecasting, Multiple Regression, Particle Swarm Optimization, Production?

Abstract

Tempe was one of the perishable foods with a durability of 2 to 3 days. Tempe home-based industry must take into account its production in order to avoid losses. Suitable planning and forecasting can determine the ways for the production process is implemented. Previously, regression analysis was used as the method to improve the process. This research proposed the particle swarm optimisation (PSO) and multiple regression for production forecasting. PSO is used for optimisation value of regression variable of the tempe productions while multiple regression is used to determine the best coefficients for forecasting. The result of the research showed that the combination of multiple regression and particle swarm optimisation method performed quite well, indicated by the RMSE value of 2.081641.

Downloads

Published

2018-08-28

How to Cite

Alfiyatin, A. N., Mahmudy, W. F., & Anggodo, Y. P. (2018). Modelling Multi Regression with Particle Swarm Optimization Method to Food Production Forecasting. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(3), 91–95. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3534

Issue

Vol. 10 No. 3: July - September 2018

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.