PENERAPAN DATA MINING KLASIFIKASI KEPUASAN PELANGGAN TRANSPORTASI ONLINE MENGGUNAKAN ALGORITMA C4.5

Ely Jannah, NPM 1909400036 (2023) PENERAPAN DATA MINING KLASIFIKASI KEPUASAN PELANGGAN TRANSPORTASI ONLINE MENGGUNAKAN ALGORITMA C4.5. Tugas_ Akhir (Artikel) : Means (Media Informasi Analisa dan Sistem), 8 (1). pp. 1-7. ISSN 2599-3089 (e-ISSN) / 2548-6985 (p-ISSN)

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Abstract

The classification of customer satisfaction of online transportation users is a positive attitude or customer response to the use of online transportation services. This classification of online transportation user satisfaction is carried out with the aim of improving the quality of the company, especially in the field of service for two-wheeled transportation users. In this study, the level of customer satisfaction is classified into four attributes, namely price, facilities, service, and loyalty, so that from the four attributes, the results of the classification of customer satisfaction levels in the category of satisfied and dissatisfied can be obtained. By applying various equations and steps regarding the calculation of the C4.5 algorithm, namely by calculating entropy, split info, gain and gain ratio values with the attributes of Facility, Service, Loyalty, Category. The set of attributes, namely Very Satisfied, Satisfied, Quite Satisfied, Dissatisfied, Very Dissatisfied. Input data as much as 155 data. From this data, it is divided into 2, namely 100 training data and 55 testing data. customer satisfaction classification "Unsatisfied" as many as 91 customers, while the "Unsatisfied" as many as 9 customers. Keywords: C4.5 Algorithm, Customer Satisfaction, Online Transportation, Data Mining

Item Type: Article
Uncontrolled Keywords: C4.5 Algorithm, Customer Satisfaction, Online Transportation, Data Mining
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > Sistem Informasi
Depositing User: Unnamed user with email repository@ulb.ac.id
Date Deposited: 01 Nov 2023 09:18
Last Modified: 01 Nov 2023 09:19
URI: http://repository.ulb.ac.id/id/eprint/474

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