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All Journal PELS (Procedia of Engineering and Life Science)
Krisna Risky Putra Irawan
Universitas Muhammadiyah Sidoarjo
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Planning Total Veener Production PT. XYZ Krisna Risky Putra Irawan; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (532.3 KB) | DOI: 10.21070/pels.v1i2.1025

Abstract

PT. XYZ is engaged in the manufacture and sale of wood veneers. Starting from the constant occurrence of over stock, now the company must make improvements to the production forecasting process so that over stock can be avoided. It can be seen that accurate production forecasting can create conditions for an effective and efficient production system. This study aims to obtain a more accurate forecast of material requirements using the Support Vector Regression (SVR) method, which is the result of the development of a Support Vector Machine (SVM) which has good performance in predicting time series data. Application of the Support Vector Regression (SVR) method with the RBF kernel in predicting the need for veneer production using the MATLAB application, it produces the smallest error rate with a MAPE of 5%, RMSE of 4364.63 and of 0.748274147. on 67 training data and 20 testing data.
Co-Authors Tedjo Sukmono