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All Journal International Conference on Sciences Development and Technology
Erika, Winda
Universitas Pembangunan Panca Budi
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Application of Data Mining to Predict Sales of the Best-Selling Dolls at Chudalla Store Using the K-Nearest Neighbor (K-NN) Method Erika, Winda
International Conference on Sciences Development and Technology The 3rd ICoSDTech 2023
Publisher : International Conference on Sciences Development and Technology

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Abstract

Sales are important for the success of a shop to survive amidst business competition. Chudalla Store continues to innovate to increase doll sales every day. So that the dolls sold experience continuous change of goods. So that the stock of dolls does not pile up and cause losses to the shop owner. Data mining is a data collection technique that is suitable for  use in business, especially for predicting sales of goods. There are several methods in data mining, one of which is the K-Nearest Neighbor (K-NN) method which is suitable for use as a method for predicting sales of the best-selling dolls at  the Chudalla Store. The K-Nearest Neighbor (K-NN) method is a method in data mining that is often used to classify  new objects and is also often used as a predictive value for solving problems in the business industry. The  K-Nearest Neighbor (K-NN) method helps in predicting the best selling dolls at Chudalla Store.
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