Inventory Prediction Prototype Using the Weighted Moving Average Method

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Published: Dec 25, 2023
DOI: https://doi.org/10.62527/jitsi.4.4.190
Keywords:
Prediction, Inventory, Weight Moving Average

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Fitri Purwaningtias
Universitas Bina Darma
Muhamad Ariandi
Universitas Bina Darma
Suyanto
Universitas Bina Darma

Abstract

PT. XYZ provides motorcycle servicing, engine overhauling, and the sale of motorcycle spare parts. The company frequently encounters issues with its inventory, such as an overstock of certain parts or a shortage of items in high demand by customers. Consequently, the warehouse often faces either an overload or a stockout of popular items. To address these inventory challenges preventing both overstocking and stockouts a system for predicting warehouse inventory levels is required, utilizing the Weighted Moving Average (WMA) method. The system was developed using a prototyping approach. This prediction system helps identify which items are in high demand and which are less necessary, enabling optimal use of warehouse space. The study concludes that using the WMA-based prediction method enhances company performance; this is supported by user testing, which confirms the system's suitability for implementation within the company.

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How to Cite
Fitri Purwaningtias, Ariandi, M., & Suyanto. (2023). Inventory Prediction Prototype Using the Weighted Moving Average Method. JITSI : Jurnal Ilmiah Teknologi Sistem Informasi, 4(4), 147 - 153. https://doi.org/10.62527/jitsi.4.4.190
Issue
Vol. 4 No. 4 (2023)
Section
Articles
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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