Forecasting Omset Printing of Printing Sales in CV Sembilan Jaya with Neural Network Method

Abstract

Forecasting is a process for estimating several needs in the future which includes needs in order to meet the
demand for goods and services. Neural Network Backpropagation Method is a time series forecasting method. The
purpose of this study is to predict the turnover results in the next period obtained by CV. Nine Jaya every week. This
study uses sales data obtained from the printing of food boxes, shoe boxes, watch boxes from January 2014 to
December 2018. The results of this forecasting are done using the Neural Network method, the smallest MSE value
obtained is 0.004211 with 1000 times iteration and learning rate 0.2. The MSE value obtained meets the condition or
condition value as a good forecasting method because it is able to meet the MSE value requirement <0.1.