Clustering of internet network usage using the K-Medoid method

Abstract The use of the internet network at Wahidin Vocational High School (SMK) Cirebon City is a very significant need in supporting the progress of learning. The ease of using the internet has made the academic community free to use the internet network facilities provided by the school and carry out the activities they want without any control. Causing the academic community to freely access the web that is not related to ongoing education, and certainly this matter will be very disturbing in the teaching and learning process. This matter is in order to identify accurate analysis also using Information Mining as information processing. After that, using the clustering algorithm procedure is K-Medoid. The K-Medoid procedure is able to carry out information grouping on the use of social media access which is often accessed by the academic community throughout the school. Grouping using the K-medoids algorithm can be known that the use of internet network access is on average used to access social media compared to accessing E-learning. It is suitable from the results of research that was tried if the use of WhatsApp reached an average of 126 users, after that accompanied by Instagram, its usage reached an average of 108 users, then accompanied by E-Learning, the average usage reached 90 users, after that it was accompanied by Facebook and YouTube which an average of 71 users. Thus, from the research that has been tried, it is necessary to implement layer 7 protocol firewall security to block social media access so that internet network access at Wahidin Vocational High School (SMK), Cirebon City. Used as a suitable early idea is to facilitate the academic community to maximize E-learning education.