Main Article Content
Abstract
In December 2019, coronavirus (COVID-19) caused by SARS-CoV-2 was first discovered in Wuhan, China. This virus has a high transmission rate and can be transmitted through droplets, airborne, and aerosols. The clinical manifestations are very diverse ranging from mild, moderate, and severe. Therefore, this study aims to conduct a clustering of the spread of the Covid-19 pandemic to facilitate the identification and handling. The method of the K-Means algorithm can be used as a method to obtain the desired clustering. The implementation and evaluation were conducted using RapidMiner tools and Davies Bouldin Index (DBI) respectively. Furthermore, the data sources by Kangdra (2020) were used with a total sample of 110 for the period March-June 2020. The results showed that the optimal cluster is located at k: 2 with a DBI value: 0,094 as the lowest value. Therefore, the cluster is strong since a smaller DBI value gives a better cluster. The clustering obtained is Cluster 1 and 2 with mild and moderate severity. The results are expected to facilitate a better zone identification of the COVID-19 severity level and rising people awareness.
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References
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References
Y. C. Wu, C. S. Chen, Y. J. Chan, The outbreak of COVID-19: An overview, J. Chinese Med. Assoc., 83(3) (2020) 217–220.
T. H. Sardar, Z. Ansari, An analysis of MapReduce efficiency in document clustering using parallel K-means algorithm, Futur. Comput. Informatics J., 3(2) (2018) 200–209.
X. Li, X. Zhong, Y. Wang, X. Zeng, T. Luo, Q. Liu, Clinical determinants of the severity of COVID-19: A systematic review and meta-analysis, PLoS One, 16(5) (2021) 1-21.
M. Z. Hossain, M. N. Akhtar, R. B. Ahmad, M. Rahman, A dynamic K-means clustering for data mining,” Indones. J. Electr. Eng. Comput. Sci., 13(2) (2019) 521–526.
M. Azarafza, M. Azarafza, H. Akgün, Clustering method for spread pattern analysis of corona-virus (COVID-19) infection in Iran, J. Appl. Sci. Eng. Technol. Educ., 3(1) (2021) 1-6.
R. A. Indraputra, R. Fitriana, K-Means Clustering Data COVID-19, 10(3) (2020) 275–282.
F. Virgantari, Y. E. Faridhan, K-Means Clustering of COVID-19 Cases in Indonesia’s Provinces, 5(2) (2020) 34–39.
G. Liu, T. Wang, L. Yu, Y. Li, J. Gao, The improved research on K-means clustering algorithm in initial values, Proc. - 2013 Int. Conf. Mechatron. Sci. Electr. Eng. Comput., (2013).
W. Y. Kangdra, Karakteristik Klinis Dan Faktor Komorbid Pada Pasien Dalam Pengawasan (Pdp) Coronavirus Disease 2019 (Covid-19) Di Rs Mitra Medika Amplas, 2019 (2021).
D. Hidayati, Profil Penduduk Terkonfirmasi Positif Covid-19 Dan Meninggal: Kasus Indonesia Dan Dki Jakarta, J. Kependud. Indones., 2902 (2020) 93.
Baj, J., Karakuła-Juchnowicz, H. Teresiński, G. Buszewicz, G. Ciesielka, M. Sitarz, R. Forma, A. Karakuła, K. Flieger, W. Portincasa, P. Maciejewski, R., COVID-19: Specific and non-specific clinical manifestations and symptoms: The current state of knowledge, J. Clin. Med., 9(6) (2020) 1–22.
World Health Organization Europe (WHO Europe), Transmission of SARS-CoV-2: implications for infection prevention precautions. Scientific brief, (2020).
Q. Li et al., Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia, N. Engl. J. Med., 382 (2020) 1199-1207.
B. Araújo, D. Domenis, T. Ferreira, C. Merelles, T. Lima, COVID-19 and dysphagia: practical guide to safe hospital care number 1, Audiol. Commun. Res., 25(1) (2020) 1–5.
S. Eyigör, E. Umay, Dysphagia management during covid-19 pandemic: A review of the literature and international guidelines, Turkish J. Phys. Med. Rehabil., 67(3) (2021) 267-274.
S. Carda et al., The role of physical and rehabilitation medicine in the COVID-19 pandemic: The clinician’s view, Ann. Phys. Rehabil. Med., 63(6) (2020) 554–556.
H. Xu et al., High expression of ACE2 receptor of 2019-nCoV on the epithelial cells of oral mucosa, Int. J. Oral Sci., 12(1) (2020) 1–5.
M. Goswami, S. Chawla, Time to restart: A comparative compilation of triage recommendations in dentistry during the Covid −19 pandemic, J. Oral Biol. Craniofacial Res., 10(4) (2020) 374-384.
H. A. Rothan, S. N. Byrareddy, The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak, J. Autoimmun., (2020).
Mao R, Qiu Y, He JS, Tan JY, Li XH, Liang J, Shen J, Zhu LR, Chen Y, Iacucci M, Ng SC, Ghosh S, Chen MH, Manifestations and prognosis of gastrointestinal and liver involvement in patients with COVID-19: a systematic review and meta-analysis, Lancet Gastroenterol. Hepatol., 5(7) (2020) 667-678.
C. Huang et al., Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China, Lancet, 395(10223) (2020) 497–506.
Z. Zainol Rashid, S. N. Othman, M. N. Abdul Samat, U. K. Ali, K. K. Wong, Diagnostic performance of COVID-19 serology assays, Malays J Pathol.,42(1) (2020) 13-21.
H. Tombuloglu, H. Sabit, E. Al-Suhaimi, R. Al Jindan, K. R. Alkharsah, Development of multiplex real-time RT-PCR assay for the detection of SARS-CoV-2, PLoS One, 16(4) (2021) 1-11.
E. Burhan et al., Cedera miokardium pada infeksi COVID-19, (2022).