Pemanfaatan Machine Learning Untuk Optimasi Harga Dengan Menggunakan Model Artificial Neural Network Pada Pt Asia Garment Accessories

Abstract

Today's market is characterized by intense competition, as relatively many similar goods are in the market. One way to win the competition is with a pricing strategy. PT Asia Garment's Accessories is a company engaged in the garment accessories industry, with products such as lace, mote, embroidery, and fabric materials. Pricing is determined by the quality of the product, the level of time efficiency, and the difficulty of the work. The purpose of the research is how to get price optimization using the Artificial Neural Network model. In this study, the method used for data collection is the observation, interviews, and literature studies. According to the results of the price prediction test using Python and machine learning, it is concluded that the price offered is a best price for several products including lace and imported applications, because the predicted price is higher than the original price. Predictions made using ANN produce an accuracy output of 87% that can be said to be good accuracy.