Open AccessForecasting Paint Products Using Artificial Neural Network Algorithm
Author(s) -
A. Hadiansyah,
Irfan Dwiguna Sumitra
Publication year - 2019
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/662/2/022048
Subject(s) - artificial neural network , revenue , computer science , database transaction , transaction data , node (physics) , value (mathematics) , histogram , multiplier (economics) , process (computing) , algorithm , data mining , artificial intelligence , machine learning , operations research , engineering , finance , database , economics , structural engineering , image (mathematics) , macroeconomics , operating system
The purpose of this research is to make it easier to determine a target which is initially done manually, and the process is done so many stages that require a lot of time. The forecasting process using revenue data exclude from discount or promo, and others type data for setting a target of revenue sales. Artificial Neural Network algorithm was a research method to get a good prediction. Hopes this research can study the company and can grow better with greater income going forward with the help of artificial neural algorithms in determining an income target to be the correct prediction. This research for calculating data and used three-month transaction data pattern to get a revenue target. The conclusion from this research has histogram, training, and testing to node 4 with 6.672403 value and node 5 with 0.9987362 value. That last node is making predictive material data and used as a multiplier for more value to be the revenue target.