Rancang Bangun Aplikasi Customer Relationship Management (CRM) Untuk Identifikasi Tingkat Kepuasan Pelanggan Pada Perusahaan PT. TIKI Jalur Nugraha Ekakurir (JNE) Agen Mastrip Jember Menggunakan Metode K-Means Clustering

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dc.contributor.author Maulana, Mochammad Bustommy
dc.contributor.author Slamin, Slamin
dc.contributor.author Juwita, Oktalia
dc.date.accessioned 2017-12-07T03:12:07Z
dc.date.available 2017-12-07T03:12:07Z
dc.date.issued 2017-12-07
dc.identifier.issn 2503-250X
dc.identifier.uri http://repository.unej.ac.id/handle/123456789/83590
dc.description Informatics Journal Vol. 2 No. 2 (2017) en_US
dc.description.abstract The level of customer satisfaction is a benchmark to get a better benefit. One of the strategies that relates to creation of customer satisfaction is customer relationship management (CRM). Tiki Jalur Nugraha Ekakurir (JNE) Ltd. in Mastrip Jember agency is a company that experienced consumers degression after the emergence of competitors that offered better services. Because of that it is necessary to evaluate the service quality, facilities, and rates compatibility that can affect customer satisfaction. Therefore, CRM method is needed to know the level of customer satisfaction. Questionnaire is used as the method to collect the customers’ responses as the data. After that, the data which is the questionnaires that contain the customer’s responses is processed using K-Means clustering method as the grouping algorithm of respondents. K-means is algorithm clustering by grouping the data which has similar criteria by determining the center point of the cluster (centroid). There are 4 Clusters, the first cluster has a role as a very dissatisfied customer, the second cluster is not satisfied customer, the third cluster is satisfied customer and the fourth cluster has a role as a very satisfied customer. The application examination used 100 respondents with 80 respondents are training set and 20 respondents are test set. The result showed the cluster which has the most members is cluster 3, it means that there are so many customers satisfied with the services. The results of the training test set 100% accurate with the test set. Thus, the appropriate centroid coordinate is the one from the cluster in the last training set iteration. en_US
dc.language.iso id en_US
dc.subject CRM en_US
dc.subject Identify the level of customer satisfaction en_US
dc.subject K-Means Clustering en_US
dc.title Rancang Bangun Aplikasi Customer Relationship Management (CRM) Untuk Identifikasi Tingkat Kepuasan Pelanggan Pada Perusahaan PT. TIKI Jalur Nugraha Ekakurir (JNE) Agen Mastrip Jember Menggunakan Metode K-Means Clustering en_US
dc.type Article en_US


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