Apllication Of The Moving Average Forecasting Method In Masonry Concrete Sales Penerapan Metode Peramalan Moving Average Untuk Peramalan Penjualan Beton Masonry
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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.
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References
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 Sepuri Menggunakan 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 Peralaman 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.
[6] Saefudin, D. Susandi, and F. Nafis, “Sistem Peramalan Penjualan Paving Block Menggunakan Metode Single,” JSiI, vol. 8, no. 2, pp. 75–81, 2021.
[7] S. H. Santosa, A. P. Hidayat, and R. Siskandar, “Analisis permintaan telur ayam menggunakan metode peramalan kuantitaif, studi kasus : agen telur ABC Chicken egg demand analysis using quantitative forecasting method, case study: ABC egg agent,” Indones. J. Sci., vol. 3, no. 1, pp. 1–9, 2022, [Online].
Available: http://journal.pusatsains.com/index.php/jsi
[8] A. Kumila, B. Sholihah, E. Evizia, N. Safitri, and S. Fitri, “Perbandingan Metode Moving Average dan Metode Naïve Dalam Peramalan Data Kemiskinan,” JTAM | J. Teor. dan Apl. Mat., vol. 3, no. 1, p. 65, 2019, doi: 10.31764/jtam.v3i1.764.
[9] M. K. Mollah and A. D. Saputra, “Penerapan Peramalan Penjualan Menggunakan Aplikasi POM QM pada produk Gula di PT. Pabrik Gula Candi Baru Sidoarjo,” Semin. Nas. Teknol. Ind. Berkelanjutan II (Senastitan II), vol. 02, pp. 449–458, 2022.
[10] A. R. Pardosi and I. Iriani, “Analisis Perencanaan Peramalan Dan Safety Stock Sprite 250ML Dengan Metode Time Series Di PT . XYZ Universitas Pembangunan Nasional „ Veteran ‟ Jawa Timur service level & out of stock warehouse , dimana project tersebut tujuan utamanya adalah tersebut dip,” Jupiter, vol. 2, no. 2, pp. 10–21, 2024.