Sales Transaction Result Analysis for Increase Prediction of Income

Sucipto, Sucipto (2018) Sales Transaction Result Analysis for Increase Prediction of Income. Fountain of Informatics Journal, 3 (2). pp. 31-35. ISSN 2548-5113

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Abstract

The use of data that has long been stored in the information system can be used to find out information that supports decision-making activities. One of them is sales transaction data. During this time, the case of sales transaction data is rarely analyzed to be taken into consideration when making a decision, for an example analyzing transaction data. Analysis of predictions in transactions should analyze inflation factors that affect income. Inflation will result in an increase in the price of basic necessities which can also cause entrepreneurs to tend to increase the price of products to be sold. Therefore, this research focuses on analyzing sales transaction data at a restaurant. Where the data used is data that has been stored for 3 years in the period 2015-2017. The purpose of this study was to determine the quality comparison of sales transaction predictions between years by observing inflation based on changes in selling prices. The prediction shows that 3 main menus, namely chicken noodles, dumpling crackers, and hot / ice tea have an average of around 70%. The results of the study revealed that the prediction of goods sold with actual data in the following year was quite significant and predictions of income were not affected by inflation of staple goods based on a comparison between prices.

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