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Building of Informatics Technology and Science (BITS)
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Penerapan Metode Double Moving Average Dalam Peramalan Permintaan Produk Beras

Authors: Nasrun Marpaung; Yessica Siagian; Riska Ikhwani;

Penerapan Metode Double Moving Average Dalam Peramalan Permintaan Produk Beras

Abstract

UD. Putra Tunggal is a trading business that sells people's basic needs such as rice, cooking oil, sugar and other basic needs of the community. This trading business requires forecasting in an effort to process data and produce accurate reports. This is done because UD. Putra Tunggal to determine the demand for rice is unpredictable, so he often experiences a lack of supply of rice to be purchased in serving the demand for rice needed by customers. In designing this system, the author uses the Double Moving Average (DMA) forecasting method for the decision support process in determining the amount of rice stock to be sold for the next month, using the calculation method. Forecasting application is made using visual basic net 2010 programming language with Microsoft Access for data base. From making the system an application can be produced that can control demand optimally and economically and with a high level of accuracy and can predict the amount of rice demand at UD. Putra Tunggal so that the forecast results can help trading businesses to avoid running out of rice demand stocks at UD. Putra Tunggal. The results of the forecasting of sales of CABE rice products 1 year ago, namely in January in 2021, it has been predicted that sales in January 2022 will decrease to 195 sacks of rice to be sold

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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