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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) CAUCHY: Jurnal Matematika Murni dan Aplikasi Annual Research Seminar JURNAL PENGABDIAN KEPADA MASYARAKAT Science and Technology Indonesia Jurnal Penelitian Sains BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Bulletin of Applied Mathematics and Mathematics Education Jurnal Pelita Sriwijaya Prosiding Seminar Nasional Unimus
Ning Eliyati
Jurusan Matematika, Fakultas MIPA, Universitas Srwijaya
Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATA Saragih, Anita; Sukanda, Dian Cahyawati; Eliyati, Ning
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1257-1264

Abstract

Based on Covid-19 case data as of July 2022, South Sumatra Province has the 15th highest rank out of 34 provinces in Indonesia, with confirmed cases totalling 82,407. This showed that the spread of Covid-19 in South Sumatra was still high. This study aimed to determine the cluster of regions in South Sumatra based on Covid-19 case data. Clustering regions used agglomerative hierarchical method. The process began with standardizing the data, calculating the similarity distance between objects, determining the optimal number of clusters using the Silhouette method, and the last was clustering analysis. This study found that the optimal number of clusters consisted of two clusters. The clustering process starts with objects 2 and objects 4 because these two objects have the closest similarity distance. In conclusion, objects with the closest similarity distance (in one cluster) have the same data movement (fluctuation).
Co-Authors Agus lukowi Agus Lukowi Alfensi Faruk Ali Amran Ali Syahbana Alwine Zayanti, Des Amalia Syari Bambang Suprihatin Des Alwine Zayanti, Des Alwine Devi Gusmalia Juita Dewi, Novi R. Dian Cahyawati Eka Susanti Endang Sri Kresnawati Endro Setyo Cahyono, Endro Setyo Evi Yuliza, Evi Fitri Maya Puspita Fitri Puspasari Gina Sonia Hamidah, Shaly Wanda Hoiri, Sajiril Indrawati Indrawati Indrawati Irmeilyana Irsyadi Yani Ismail Thamrin Kresnawati, Endang S. Mutiara, Siti Rahma Novi Rustiana Dewi Oki Dwipurwani Oktavianus Hasiholan Marbun Putra Bahtera Jaya Bangun Rahmayani, Mau’izatil Resnawati Saragih, Anita Setyo Cahyono, Endro Sisca Octarina Sri Indra Maiyanti Sri Kresnawati, Endang Yuli Andriani Yulia Resti Yulis Resti Zayanti, Des A.