Application of C4.5 Algorithm for Detection of Cooperatives Failure in Province Level

Application of C4.5 Algorithm for Detection of Cooperatives Failure in Province Level

• By Andriani, Anik;
• Seminar Internasional
• 131
• 168-171

Cooperative is one of actors in Indonesia's economy expected to become pillar of Indonesian economy.  Based on stastistical data on Ministry site of Cooperatives and Small and Middle Enterprises are many cooperatives at the provincial level have failed.  The purpose of this research is to create a classification of failure cooperative with C4.5 algorithm so it can be seen the most influential factor in cooperative failure.  The data is used to classificate are analyzed used Knowledge Discovery Databases (KDD) which consist of nine stages.  Classification results was tested by using confussion matrix and ROC curves to determine the performance of the classification results.  The results of failure cooperatives classification in province level with the C4.5 algorithm shows performance with the accuracy of training data was 85,45%, and the accuracy of the testing data was 71,67%.  While the results of the classification performance as measured by the ROC curve shows the results of classification rules including excellent classification

• Katakunci classification, C4.5 algorithm, confusion matrix, ROC curve
• URL http://lppm.bsi.ac.id/prosiding/A26_168-174_2014-ISSIT-FullPaper_AnikAndriani_Application-of-C45-Algorithm.pdf
• Penerbit International Seminar on Scientific Issues and Trends (ISSIT), Bekasi Jawa Barat

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