Perbandingan Sistem Peramalan Penjualan Dengan Metode Exponential Smoothing Dan Single Moving Averages Menggunakan Uji Statistik
Abstrak: PT. Surya Prima
Perkasa is a big medicine distributor company which is spread all over
Indonesia. Sales as a team that handles the sales transaction data of medicines
have not done well and still use excel to record the transaction. Sales
transaction data will be used Parts Sales to determine how many medicine orders
for the next periods. However, these sales estimates sometimes have quite a big
difference from the actual sales numbers, since the prediction does not use a
certain formula and do not take into account sales forecasting
errors.Application of sales forecasting with Exponential Smoothing and Single
Moving Averages method are applications that can help PT. Prima Surya Perkasa to
determine the number of total sales in the next periods. Exponential Smoothing
forecasting methods will take into account average (smoothing) the data of the
past exponentially by repeating calculations continuously using the latest
data. Single Moving Averages are used to forecast the next periods, as well as
cope with the trend better.In this application, Exponential Smoothing and
Single Moving Averages methods are used to predict the amount sales for the
next periods. Then the results from both methods were compared using
statistical tests, where the accepted method is feasible for use forecasting.To
determine the quality of orders in the future using the Economic Order Quantity
(EOQ). Based on trial results that have been done can be concluded that the application
is made to provide information to support decisionof Managerin determining the
amount of medicine ordering.
Penulis: Arum Nawang Sari, I
Gede Arya Utama, Weny Endah Kusumawardhani
Kode Jurnal: jptkomputerdd120206
