<![CDATA[Inventory management in building material stores is a crucial element in maintaining operational smoothness and working capital efficiency. However, TB Duren Jaya still faces obstacles due to conventional stock management and manual supply estimation, which trigger the risks of overstocking or stockouts. This study aims to design and develop a web-based inventory information system to provide objective restock recommendations based on historical sales data. The system was developed using the Waterfall methodology with the PHP programming language (Laravel framework) and MySQL database, integrating the Single Moving Average algorithm ($n=3$ months). The algorithm implementation results demonstrate a highly accurate forecasting success rate, achieving an average Mean Absolute Percentage Error (MAPE) of 7.64% (accuracy rate of 92.36%). Meanwhile, software functionality testing using the Black Box Testing method achieved a 100% success rate (valid). Consequently, this forecasting information system is proven to be feasible and effective in enhancing inventory management efficiency at TB Duren Jaya.]]>
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