{"title":"IMPLEMENTASI ALGORITMA DECISION TREE UNTUK KLASIFIKASI PRODUK LARIS","authors":"Asmaul Husnah Nasrullah","doi":"10.35329/JIIK.V7I2.203","DOIUrl":null,"url":null,"abstract":"Decision Tree C4.5 algorithm is an algorithm that can be used to make a decision tree. Decision tree (Decision Tree) is one method that is quite easily interpreted by humans. However, this algorithm has never been tested for product classification using private data (stock data and sales of goods at PT Cipta Karya Gorontalo). Therefore this study aims to test the accuracy of C4.5 in classifying best-selling products (private data). As a result of the evaluation of product classification models using Decision Tree C4.5 obtained from this study amounted to 90% and AUC value of 0.709 where this value is included in the Good Classification. It can be used as a data mining classification method Decision Tree C4.5 algorithm is accurate in classifying hot-selling products. \n \nKeywords— Decision Tree, C4.5, Classification, Best-Selling Product \n ","PeriodicalId":17755,"journal":{"name":"JURNAL ILMIAH ILMU KOMPUTER","volume":"279 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JURNAL ILMIAH ILMU KOMPUTER","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35329/JIIK.V7I2.203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
摘要
C4.5算法是一种可以用来制作决策树的算法。决策树(Decision tree)是一种很容易被人类解释的方法。然而，该算法从未使用私人数据(PT Cipta Karya Gorontalo的库存数据和商品销售)进行过产品分类测试。因此，本研究旨在测试C4.5对畅销产品(私有数据)分类的准确性。由于本研究使用决策树C4.5对产品分类模型进行评价，所得结果为90%，AUC值为0.709，该值被纳入良好分类。它可以作为一种数据挖掘分类方法，决策树C4.5算法对热销产品的分类是准确的。关键词:决策树，C4.5，分类，畅销产品
IMPLEMENTASI ALGORITMA DECISION TREE UNTUK KLASIFIKASI PRODUK LARIS
Decision Tree C4.5 algorithm is an algorithm that can be used to make a decision tree. Decision tree (Decision Tree) is one method that is quite easily interpreted by humans. However, this algorithm has never been tested for product classification using private data (stock data and sales of goods at PT Cipta Karya Gorontalo). Therefore this study aims to test the accuracy of C4.5 in classifying best-selling products (private data). As a result of the evaluation of product classification models using Decision Tree C4.5 obtained from this study amounted to 90% and AUC value of 0.709 where this value is included in the Good Classification. It can be used as a data mining classification method Decision Tree C4.5 algorithm is accurate in classifying hot-selling products.
Keywords— Decision Tree, C4.5, Classification, Best-Selling Product
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