Author:
Romi Mochammad,Putra Boy Isma
Abstract
This study aims to create a concrete sales forecasting system using the moving average method to predict sales for the next month in order to determine the amount of production that must be supplied in the next period. The study uses the moving average method which is widely used and has accuracy in forecasting. The results obtained mean error of 32630.95, MAD of 224532, MSE of 80977550000, standard error of 318154, Mape of 12.621% and average forecast of 1960074.0. The study implies that the moving average method is an effective tool for sales forecasting and can be used to make informed decisions about production planning and estimating future growth
Highlight :
The study aims to create a concrete sales forecasting system using the moving average method.
The moving average method is an effective tool for sales forecasting and can be used to make informed decisions about production planning and estimating future growth.
The study provides statistical measures such as mean error, MAD, MSE, standard error, and MAPE to evaluate the accuracy of the moving average method.
Keywords: Sales forecasting, Moving average method, Production planning, Accuracy, Informed decisions.
Publisher
Universitas Muhammadiyah Sidoarjo
Reference10 articles.
1. M. Rizal, D. R. Indah, and R. Meutia, "Analisis Peramalan Produksi Menggunakan Trend Moment pada Kilang Padi Do‟a Ibu Diperlak Kecamatan Peureulak," J. Samudra Ekon., vol. 5, no. 2, pp. 161–168, 2021.
2. T. Baroto, "Perencanaan dan Pengendalian Produksi," 2002.
3. N. Hudaningsih, S. F. Utami, and W. A. A. Jabbar, "Perbandingan Peramalan Penjualan Produk Aknil PT. Sunthi Sepurimennguanakan Metode Single Moving Average dan Single Exponential Smoothing," JINTEKS, vol. 2, no. 1, pp. 15–22, 2020.
4. Suseno and S. Wibowo, "Penerapan Metode ARIMA dan SARIMA pada Peramalan Penjualan Telur Ayam pada PT Agromix Lestari Group," JTMIT, vol. 2, no. 1, pp. 33–40, 2023.
5. Hernadewita, Y. K. Hadi, M. J. Syaputra, and D. Setiawan, "Peramalan Penjualan Obat Generik Melalui Time Series Forecasting Model pada Perusahaan Farmasi di Tangerang: Studi Kasus," JIEMAR, vol. 1, no. 2, pp. 35–49, 2020.