INCITEST 2019 Conference

Forecasting Paint Products Using Artificial Neural Network Algorithm at PT. HIJ for Revenue Target
A Hadiansyah (a), I D Sumitra (b)

Postgraduate of Information System, Computer University of Indonesia


Abstract

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 much 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 is 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.

Keywords: Artificial neural network, forecasting, prediction, revenue target

Topic: Informatic and Information System

Link: https://ifory.id/abstract-plain/zv37nBKNQeET

Web Format | Corresponding Author (Andri Hadiansyah)