Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB
Vol 9 No 4 (2019): Juni 2019

Penerapan Metode Naïve Bayes Untuk Prediksi Kepuasan Pelanggan ( Studi Kasus Bengkel Win Motor )

Bambang Hermanto (STT Pelita Bangsa)
Ahmad Romadhoni (STT Pelita Bangsa)



Article Info

Publish Date
13 Jun 2019

Abstract

The tight competition in the workshop business makes a company engaged in service or maintenance of motorized vehicles compete to attract its customers in buying spare parts and services offered. To maintain its customers, a company must be able to understand carefully the expectations - any expectations of its customers so that the company must know the level of satisfaction of each customer. At WIN MOTOR Workshop which is located in the residential area of East Cikarang Graha, it is difficult to determine whether the customer feels satisfied or not in terms of the services provided. By using questionnaire techniques, the results of questionnaire data are obtained. Processing data using the application of naïve Bayes methods to predict customer satisfaction. Based on the data from the questionnaire that was processed using the naïve bayes method to predict customer satisfaction in the WIN MOTOR Workshop, the accuracy rate was 90.00%. After testing cases to determine customer satisfaction predictions using manual calculations and using the Rapidminer application, the same customer satisfaction predication results were obtained.. Keywords : Prediction, Naïve Bayes, Customer Satisfaction

Copyrights © 2019






Journal Info

Abbrev

sigma

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB merupakan jurnal ilmiah yang diterbitkan oleh Program Studi Teknik Informatika Universitas Pelita Bangsa (UPB) Cikarang dengan no p-ISSN 2407-3903 (Media Cetak). Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB adalah sebagai ...