Abstract
The trend moment method is a forecasting method for producing an estimated number of future bread supplies so that there is no excess or shortage of bread stock in the coming month. Data on bread sales is used in this study every month from January to December 2021. Each month's sales records are useful for determining whether sales have increased or decreased. The study's findings include the development of a computerized system that can generate approximate numbers in predicting deals for the following month utilizing the PHP and MySQL programming dialects, making it simpler to determine how much bread will be sold while taking into account the stock of goods and how much will be produced in the coming months. the following month with the goal that there is no lack or abundance of bread stock. The results of sales predictions for 12 months in 2021, produce predictions in January 2022, in the 13th period with MAD (Mean Absolute Deviation) results of 40.08% and MSE (Mean Squared Error) rates of 27.64%.
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