| dc.contributor.author | Purnawansyah, Purnawansyah | |
| dc.contributor.author | Haviluddin, Haviluddin | |
| dc.contributor.author | Gafar, Achmad Fanany Onnilita | |
| dc.contributor.author | Tahyudin, Imam | |
| dc.date.accessioned | 2019-10-18T16:18:04Z | |
| dc.date.available | 2019-10-18T16:18:04Z | |
| dc.date.issued | 2017 | |
| dc.identifier.isbn | 978-3-319-59279-4 | |
| dc.identifier.uri | http://repository-ds.unmul.ac.id:8080/handle/123456789/672 | |
| dc.description.abstract | A network traffic utilization in order to support teaching and learning activities are an essential part. Therefore, the network traffic management usage is requirements. In this study, analysis and clustering network traffic usage by using K-Means and Fuzzy C-Means (FCM) methods have been implemented. Then, both of method were used Euclidean Distance (ED) in order to get better results clusters. The results showed that the FCM method has been able to perform clustering in network traffic. | |
| dc.publisher | SpringerLink - Lecture Notes on Multidisciplinary Industrial Engineering (LNMUINEN) | |
| dc.title | Comparison Between K-Means and Fuzzy C-Means Clustering in Network Traffic Activities | |
