3 research outputs found

    Penerapan Metode Average Gain, Threshold Pruning Dan Cost Complexity Pruning Untuk Split Atribut Pada Algoritma C4.5

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    C4.5 is a supervised learning classifier to establish a Decision Tree of data. Split attribute is main process in the formation of a decision tree in C4.5. Split attribute in C4.5 can not be overcome in any misclassification cost split so the effect on the performance of the classifier. After the split attributes, the next process is pruning. Pruning is process to cut or eliminate some of unnecessary branches. Branch or node that is not needed can cause the size of Decision Tree to be very large and it is called over- fitting. Over- fitting is state of the art for this time. Methods for split attributes are Gini Index, Information Gain, Gain Ratio and Average Gain which proposed by Mitchell. Average Gain not only overcome the weakness in the Information Gain but also help to solve the problems of Gain Ratio. Attribute split method which proposed in this research is use average gain value multiplied by the difference of misclassification. While the technique of pruning is done by combining threshold pruning and cost complexity pruning. In this research, testing the proposed method will be applied to datasets and then the results of performance will be compared with results split method performance attributes using the Gini Index, Information Gain and Gain Ratio. The selecting method of split attributes using average gain that multiplied by the difference of misclassification can improve the performance of classifiying C4.5. This is demonstrated through the Friedman test that the proposed split method attributes, combined with threshold pruning and cost complexity pruning have accuracy ratings in rank 1. A Decision Tree formed by the proposed method are smaller

    The Effect of Service Quality to Customer of Loyalty Using Self-Service TECHNOLOGY: Internet Banking

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    Inthe21stcenturytheuseofinternetbankingisnolongeranoption,butisacustomer need. Internet banking research has been carried out in developed countries. This research was conducted in developing countries, Indonesia. This research aims to test the impact of service quality on internet banking towards customer satisfaction and customer loyalty. There are six independent variables studied, namely ease of use, fulfillment, security and privacy, responsiveness, reliability and convenience. This research use quantitative approach with Structural Equation Model (SEM) method. This research use 162 samples who use internet banking for Indonesia banks. The result showthatamongthe6dimensionofinternetbankingquality3dimensionhavepositive significant impact. They are ease of use, fulfillment, and security and privacy. In other side 3 other dimensions are responsiveness, reliability, and convenience have found to be not significant affect the customer satisfaction. In addition customer satisfaction has positive significant toward customer loyalty

    Menguji Determinan Individual Intention To Use pada Aplikasi Traveloka

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    Service and tourism companies are increasingly providing applications, one of which is Traveloka to maintain and gain a higher market share. To affect the intention to use an application, a company needs to take a concern about the ease of the operartion, transaction security, providing an attractive promo, and also giving a good experience to users. The purpose of this study is to identify factors that influence the intention to use and actual usage such as perceived ease of use, perceived value, perceived usefulness, subjective norms, perceived trust, and image. The data were collected by a quesationnaire to 300 respondents who used the Traveloka application for the past year using a Simple Random Sampling method. The data were analysed using Structural Equation Modelling-Partial Least Square (SEM-PLS). The result indicates that perceived ease of use and perceived value do not affect the intention to use but perceived usefulness, subjective norms and perceived trust are affecting the intention to use. The intention to use also affect actual usage and image also affect actual usage
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