IMPLEMENTASI ALGORITMA DECISION TREE UNTUK KLASIFIKASI PRODUK LARIS

Asmaul Husnah Nasrullah

2021JURNAL ILMIAH ILMU KOMPUTER47 citationsDOI Open Access PDF

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. Keywords— Decision Tree, C4.5, Classification, Best-Selling Product

Topics & Concepts

Decision treeIncremental decision treeDecision tree learningID3 algorithmComputer scienceData miningProduct (mathematics)Tree (set theory)C4.5 algorithmArtificial intelligenceMachine learningMathematicsSupport vector machineNaive Bayes classifierGeometryMathematical analysisData Mining and Machine Learning ApplicationsMultimedia Learning SystemsInformation Retrieval and Data Mining