Prediction of Best Selling Hijab Sales at HijabMu Store Using the C4.5 Algorithm
Keywords:
Data Mining, Hijab Sales, C4.5 Algorithm, RapidMinerAbstract
The country of Indonesia is known to have a majority Muslim population, of course the clothing needs in Indonesia must also pay attention to the criteria for Muslim clothing, one of which is the hijab. Currently, the hijab sales business is increasing so that hijab sales data is increasingly accumulating, but this data is never used by business people to get information from this data. Therefore, to deal with this situation, it is necessary to classify data. There are several data classification methods, in this research the method used is the C45 algorithm. The aim of this research is to find out predictions of best-selling hijab sales based on hijab sales data at the HijabMu Store. From this research, the prediction results for the best-selling hijab sales were obtained, namely the rectangular hijab type. From the decision tree formed, information was obtained that the main factors influencing hijab sales were price and the type of hijab.
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