CD Skripsi
Penerapan Metode Single Moving Average Dalam Peramalan Pendapatan Di Ubay Fashion Kampar Kiri Tengah
Ubay Fashion is a shop that sells various types of needs, especially in the field of fashion, ranging from clothing, accessories, bags, shoes, watches, cosmetics, stationery, glassware and toys. Sales strategies in the field of business are needed because to generate maximum profits. It is not enough to estimate the amount of stock of each item to be sold based only on experience and hunches, so forecasting is needed using scientific methods. Forecasting sales revenue will help prevent excess or shortage of stock and increase revenue. This study aims to forecast Ubay Fashion's revenue using the Single Moving Average method. The calculation data used is revenue data from March 2023 to February 2024. Calculations are made using periods 5, 7, and 9. Measurement of forecasting accuracy using MAPE. The results of the Single Moving Average method in MA 5, 7 and 9 calculations are suitable for forecasting revenue at Ubay Fashion and have a good level of accuracy (smallest error rate), namely the MAPE value of clothes contained in MA 5 of 33.09% with fairly good forecasting criteria, glassware contained in MA 5 of 14.53% with good forecasting criteria and toys contained in MA 7 of 9.57% with very good forecasting criteria.
Keywords : Forecasting, Income, MAPE, Single Moving Average, Ubay Fashion.
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