SISTEM PREDIKSI PENJUALAN MENGGUNAKAN METODE WEIGHTED MOVING AVERAGE DAN ECONOMIC ORDER

  • Davila Erdianita Universitas Pembangunan Nasional "Veteran" Jawa Timur
  • Retno Mumpuni Department of Informatics at the National Development University "Veteran" East Java
  • Firza Prima Aditiawan Department of Informatics at the National Development University "Veteran" East Java
Keywords: prediction system, weighted moving average, economic order quantity, MAPE, MAD, MSE

Abstract

Toko Mariah is a shop that sells a wide variety of daily necessities. At Mariah's shop, they still use estimates to determine the amount of inventory needed for the following month, this causes problems, namely a lack of inventory and accumulation of goods. In addition, the problems that arose at Mariah's Store were customer requests that could not be fulfilled because the goods needed were not yet available, which resulted in a decrease in profits. To solve the problems found, Mariah's shop requires a sales prediction system and inventory. This study uses the Weighted Moving Average method which is used to predict sales in the coming period and the Economic Order Quantity which is used to determine the optimal ordering of goods in order to minimize costs and prevent stockpiling and shortage of goods. Testing the accuracy of the prediction results in this study using MAPE, MAD and MSE. The average value of the prediction accuracy test results using MAD, MSE and MAPE for 5 data on the prediction of sales of goods is 5.16, 39.97 and 13.45%.

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How to Cite
Erdianita, D., Mumpuni, R., & Prima Aditiawan, F. (2023). SISTEM PREDIKSI PENJUALAN MENGGUNAKAN METODE WEIGHTED MOVING AVERAGE DAN ECONOMIC ORDER . Jurnal Informatika Polinema, 9(4), 363-372. https://doi.org/10.33795/jip.v9i4.1311