Grouping of Objects in Preclinical Trial Post COVID 19 Vaccination with the Kmeans Algorithm
Nor Laela Ramadhaniyah(a*,c), Heri Kuswanto (a), Chairul Anwar Nidom(b,c)

a) Departement of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember
Kampus ITS, Sukolilo, Surabaya 60111, Indonesia
*norlaelaramadhaniyah35[at]gmail.com
b) Faculty of Veterinary Medicine, Airlangga University
Mulyorejo, Kec. Mulyorejo, Kota SBY, Jawa Timur 60115 Indonesia
c) Professor Nidom Foundation
Jl. Wisma Permai Tengah I Blok AA No.2, Mulyorejo, Kec. Mulyorejo, Kota SBY, Jawa Timur 60115 Indonesia

Abstract

The COVID 19 virus is a virus that causes respiratory problems. Since it was discovered at the end of 2019, the origin of this virus has not been known with certainty. The COVID 19 virus spread quickly throughout the world, so that the World Health Organization (WHO) declared it a pandemic. In addition to taking control measures, many countries in the world have started making vaccines to prevent the spread of the COVID 19 virus. One of the series of vaccine trials, the COVID 19 vaccine also requires preclinical trials on animals to determine the safety and efficacy of the COVID 19 vaccine before clinical trials on humans. Preclinical trials of the COVID 19 vaccine used treatment time, namely the time after vaccination (h28) and after the booster (h56) with eleven parameters divided into two measurements, namely hematology and body condition. Preclinical testing was carried out on thirty six experimental animals, namely Macaca fascicularis (long tailed monkey). In this study, grouping of research objects was carried out using the K Means algorithm using the Silhouette and Gap Statistics methods to determine the value of k, then the differences in the groups after vaccination (h28) and after booster (h56) were identified. The results of grouping each measurement using the K Means method yielded 2 groups, with cluster 2 having an average of each factor greater than group 1.

Keywords: Praclinical trial vaksin COVID 19- K Means algorithm- Silhouette- Gap Statistics

Topic: MATHEMATICS AND STATISTICS