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All Journal Jurnal Multidisipliner Kapalamada
Widyas Swara, Angga
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Religion Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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PERAMALAN PERMINTAAN PRODUK MAKANAN MX GUNA MENINGKATKAN AKURASI PERENCANAAN PRODUKSI DAN PENGENDALIAN PERSEDIAAN DI PT XYZ Ramadhanti, Lifia Citra; Toyosito, Rakay Edhiargo; Widyas Swara, Angga; Bustommy, Abby Yazid; Nugroho, Moch Eko
Jurnal Multidisipliner Kapalamada Vol. 4 No. 04 (2025): JURNAL MULTIDISIPLINER KAPALAMADA
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/kapalamada.v4i04.2039

Abstract

Demand forecasting plays a crucial role in production planning and inventory control, particularly in the food industry, which is characterized by fluctuating demand and limited product shelf life. This study aims to analyze and apply demand forecasting methods for MX food products in order to improve the accuracy of production planning and inventory control at PT XYZ. Historical sales data are utilized to generate demand forecasts by comparing several quantitative methods, including moving average, exponential smoothing, and linear regression. The accuracy of each forecasting method is evaluated using forecasting error measurements such as Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). The results indicate that the method with the lowest forecasting error provides more accurate demand estimates, enabling the company to reduce excess inventory and stock shortages. Improved forecasting accuracy contributes to more efficient production planning, lower inventory costs, and better managerial decision-making at PT XYZ.
Co-Authors bustommy, Abby yazid Nugroho, Moch Eko Ramadhanti, Lifia Citra Toyosito, Rakay Edhiargo