C4.5算法在PT. XYZ公司服务质量分析中的实现

Supangat, A. Pratama, T. Rahmawati
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引用次数: 0

摘要

目前世界上的汽车公司越来越多,这些公司的发展非常快,各种汽车公司竞争发布自己的产品。导致了汽车行业的竞争。在这项研究中考察的汽车公司之一是PT. XYZ公司。该公司用于吸引客户的XYZ策略是考虑他们的服务质量。如果PT. XYZ的质量好,那么客户就会有兴趣购买铃木的产品,并且对铃木提供的服务很忠诚。因为顾客是服务质量的评估者,在本研究中,研究人员使用C4.5算法来衡量PT. XYZ的服务质量。然后使用C.45算法对数据进行处理,公司可以找出哪些属性可以决定服务质量的好坏。数据集有500条记录,其中研究人员使用60%的百分比用于训练数据,40%用于测试数据。从试验结果中获得的准确度为90%,精密度为94%,召回率为95%,F-Measure为94%。利用C4.5算法在现有数据集中的研究结果得到10条规则,其中3条规则服务质量结论较好,7条规则服务质量结论较差。该规则将用于分析公司对客户的服务质量,这是影响和最主要的决定服务质量的属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of C4.5 Algorithm for Analysis of Service Quality in Companies of PT. XYZ
Currently the world's automotive companies are increasing and the development of these companies is very fast, various car companies compete in releasing their products. Resulting in competition in the automotive business world. One of the automotive companies examined in this study was PT. XYZ In the company PT. The XYZ strategy used to attract customers is to consider the quality of their services. If the quality of PT. XYZ is good, so customers will be interested in buying Suzuki products and are loyal to the services provided by Suzuki. Because the customer is an assessor of service quality, in this study researchers used the C4.5 algorithm to measure the quality of services at PT. XYZ The method of collecting datasets is to use surveys. Then the data will be processed using the C.45 algorithm, the company can find out what attributes can determine the quality of good or bad service. The dataset is 500 records, in which researchers use a percentage of 60% for training data and 40% for testing data. From the trial results there is obtained an accuracy of 90%, Precision of 94%, Recall of 95%, and F-Measure of 94%. From the results of the study using the C4.5 algorithm in the existing dataset obtained 10 rules consisting of 3 rules with good service quality conclusions and 7 rules with poor service quality conclusions. This rule will be used to analyze the company's service quality to customers, which are the attributes that influence and the most dominant determines the quality of service.
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