<![CDATA[This study discusses the development of a web-based inventory prediction system for Toko Murni aimed at enhancing efficiency and accuracy in stock management. The main issue faced by Toko Murni was the inaccuracy of manual inventory management, which often resulted in discrepancies between records and actual stock levels, and failed to consider historical data patterns. The system was developed using PHP and MySQL, employing the Waterfall development model from requirement analysis to maintenance. Black Box testing was conducted to ensure all functions operate as expected. The results indicate that all features, including login, management of item types, period data, stock prediction, prediction results, password changes, and logout, function properly. The system accurately reflects inventory fluctuations and predicts stock needs quickly, supporting data-driven decision-making in a structured and effective manner. The simple yet functional interface facilitates administrators in managing inventory and recording data systematically.]]>
Copyrights © 2026
