Open AccessForecasting Analysis at PT. Lion Metal Works Using Artificial Neural Network
Author(s) -
Andri Tan Wijaya,
Fransiska Lefta,
Lina Gozali,
Frans Jusuf Daywin
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1007/1/012184
Subject(s) - artificial neural network , normalization (sociology) , computer science , database normalization , economic shortage , matlab , operations research , product (mathematics) , artificial intelligence , data mining , engineering , pattern recognition (psychology) , mathematics , linguistics , philosophy , geometry , sociology , government (linguistics) , anthropology , operating system
PT. Lion Metal Works is one of the manufacture company which produces office furnitures. PT. Lion Metal Works has problem in determining demand of products because they do not do the forecasting method. The aim of this research is to make an application program in order to help the company do the forecasting calculation easily by using artificial neural network as the forecasting technique to resolve shortage and over production problem. Data needed to do calculation by using ANN is demand data from January 2017 until December 2019. Verification forecasting is needed to check whether the forecasting function is already representing exiting data or not, for the example result of L-31K MAD 0,0025, MSE 0,001 SDE 0,0034, MPE 0,0014, and MAPE 0,0037. Result of validation between ± 4 and prove the calculation is valid. is After finish doing MATLAB calculation the output is normalization data and its need to do denormalization data to getting unit product data for each item.