Abstract
<p><em>Th</em><em>e Middle East Respiratory Coronavirus (MERS-CoV) is a disease caused by a coronavirus. This virus is contagious, but its transmission is not as easy as the common cold, MERS-CoV virus is better susceptible to transmitting through direct contact, for example in people who care about the MERS-CoV virus without the need for virus protection. To determine the characteristics, the MERS-CoV disease virus can be identified by identifying DNA (deoxyribonucleic acid). One technique in understanding the characteristics of life is by grouping. Grouping can be done by grouping DNA into groups that have attributes and functions. The Clustering algorithm used in this study is Partitioning Around Medoid (PAM). This algorithm has the advantage that the results of the grouping process are not by following the order of entering the dataset and overcome sensitivity to noise and outliers. The purpose of this study is to implement the Partitioning Around Medoid (PAM) clustering algorithm in clustering the MERS-CoV virus. This research was conducted through a quantitative descriptive literature study. The implementation of the PAM algorithm on the MERS-CoV DNA sequence obtained 2 clusters with the highest silhouette coefficient value on the number of clusters 2, namely 0.61534. The number of members in Cluster 1 is 84 MERS-CoV DNA sequences and the number of members in Cluster 2 is 16 MERS-CoV DNA sequences.</em></p>
Highlights
Middle East Respiratory Syndrome Coronavirus (MERS-CoV) merupakan suatu penyakit saluran pernapasan yang disebabkan oleh corona virus
a disease caused by a coronavirus
MERS-CoV virus is better susceptible to transmitting through direct contact
Summary
Middle East Respiratory Syndrome Coronavirus (MERS-CoV) merupakan suatu penyakit saluran pernapasan yang disebabkan oleh corona virus. Mengingat bahwa Indonesia merupakan salah satu negara di dunia yang melakukan ibadah haji ataupun umrah di Arab Saudi, sehingga bukan tidak mungkin jamaah Haji ataupun Umrah dapat terinfeksi virus MERS-CoV ini. Clustering dapat dilakukan dengan mengelompokkan DNA menjadi kelompok-kelompok yang memiliki kesamaan sifat dan fungsinya. Et, all yang melakukan clustering DNA virus MERS-CoV dengan menggunakan metode K-Mer [2]. Tujuan dari penelitian ini adalah untuk mengimplementasikan algoritma clustering Partitioning Around Medoid (PAM) dalam mengelompokkan virus MERS-CoV. Diharapkan penelitian ini dapat memberikan informasi kesamaan karakteristik virus MERS-CoV yang terjangkit di beberapa negara. Sehingga dapat memberikan informasi dalam pembuatan antivirus atau vaksin untuk p-ISSN: 2527 - 9661 e-ISSN: 2549 - 2837 menyembuhkan manusia yang terjangkit virus MERS-CoV
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