APPLICATION OF THE SINGLE MOVING AVERAGE (SMA) METHOD FOR FORECASTING SALES OF HORDEN IN UMI NALA'S SHOP BUSINESS

Nuriadi Manurung

Abstract


Along with the current development, the business world has developed quite rapidly in the world of commerce. Therefore we need a good and mature strategy to be able to overcome all the obstacles that exist in the business world. The Umi Nala store is a business that is engaged in trading with the main activity of buying and selling Horden such as Horden, magic com, gas stove, plates, pans, and others. At this time, the Umi Nala Store Business still uses manual methods in the process of recording sales by recording them into the sales ledger, so that data storage is less effective and the risk of data loss is very large. At the moment, the Umi Nala Shop Business is experiencing a problem where the business cannot estimate the number of sales precisely so that the resulting sales are uncertain. By forecasting Horden sales using the Single Moving Average (SMA) method, this can make it easier for owners to determine sales targets. This system is built using Visual Basic 2010 and MySQL as the database. This research produces an information system to facilitate efforts in determining sales targets in the future.

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References


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DOI: https://doi.org/10.33330/icossit.v1i1.912

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