IMPLEMENTATION OF SIMPLE MOVING AVERAGE (SMA) IN PKS SOAP DEMAND PREDICTION (CASE STUDY : PT. NEW APPENDIX)

Abstract

1. New Appendix is the difficulty in predicting the number of requests for the following months. So it takes the method used for this research is the Simple Moving Average method with the PHP programming language and MySQL database. In this study, it is necessary to first arrange the steps and stages, in the application of the Simple Moving Average method with PHP programming to predict the demand for PKS soap in the future. The method used at PT. New Appendix is to use qualitative and quantitative methods. From the results of the application of the Simple Moving Average method to predict the PKS detergent cream that has been done, then getting the prediction results in December 2021 resulted in the demand for citrus PKS soap totaling 24244.33 per cardboard with an error accuracy of 3.33%, lemons amounted to 25698 boxes with an error accuracy of 3.35% and lemongrass amounted to 23832.67 boxes with an error accuracy of 4.34%. The results of this study, the demand prediction process at PT. New Appendix, namely the creation of an application to predict future PKS soap demand using the PHP programming language, can facilitate the forecasting process quickly and accurately in accordance with the application of the Simple Moving Average method so that it can be used as a forecasting reference in the following month.