Analysis of Regression Algorithm to Predict Administration, Production, and Delivery to Accuracy of Delivery of Products in Cosmetic Industry
Windu Gata, Hafifah Bella Novitasari, Ridan Nurfalah, R Hernawati, Muhammad Ja’far Shidiq · IOP Conference Series Materials Science and Engineering · 2019
Abstract The purpose of this study is to apply a linear regression algorithm to predict the accuracy of product shipments using administration, production and delivery as attributes that will be compared with existing targets which are the results of agreements between companies and customers used. as the dependent variable. In this study it was found that a linear method is feasible and effective for predicting administration, production and delivery of targets for accuracy of product shipments in the company. From the results of the prediction formula obtained, the prediction formula is implemented in the July 2018 data as test data. The results obtained from the prediction formula have an accuracy of 91.67%. From previous studies, which say that linear regression is feasible and effective for data use, they must make predictions. Likewise with this research where the results obtained in testing data are feasible and effective for the company.