Analysis of Regency and City Pneumonia Clusters in West Java 2020
Abstract
Pneumonia is an infection of the respiratory tract caused by bacteria, viruses, or fungi. The number of pneumonia cases in West Java is relatively high, therefore, it is necessary to identify some group of regencies/cities in which have a common characteristic, to make it easier to handle. The data used is data on the number of pneumonia cases in 27 regencies/cities in West Java in 2020. In this study, chi-squared test was applied to determine the characteristics of pneumonia spread in West Java. Then, a regression-based analysis by using the Irregular Graph Fused LASSO method was used to provide the cluster of regencies/cities, by considering the adjacent locations of regencies/cities as a penalty matrix. The results obtained that the cases spread unevenly. The number of cases for every 1000 people in each regency/city was relatively high in the eastern part of West Java. There were 6 clusters obtained from 27 regencies/cities, with Pangandaran regency as the location with the highest cases occurred. Depok City and Bekasi City were locations with the lowest number of cases even though they have relatively high population numbers.
Keywords
References
Sari, E F, Rumende C M, and Harimurti, K. 2016. Faktor-faktor yang berhubungan dengan Diagnosis Pneumonia pada Pasien Usia Lanjut. Jurnal Penyakit Dalam Indonesia Vol 3(4). [Online]. Available: https://scholar.ui.ac.id/en/publications/faktorfaktor-yang-berhubungan-dengan-diagnosis-pneumonia-pada-pas
Sari, M P and Cahyati, W H. 2019. Tren Pneumonia Balita di Kota Semarang Tahun 2012-2018. Higeia Journal of Public Health Research and Development 3 (3) 2019. [Online]. Available: https://journal.unnes.ac.id/sju/index.php/higeia/article/view/30266
Rahardiantoro, S and Sakamoto, W. 2021. Clustering Regions Based on Socio Economic Factors Which Affected the Number of COVID-19 Cases in Java Island. J. Phys.: Conf. Ser. 1863 012014 [Online]. Available: https://iopscience.iop.org/article/10.1088/1742-6596/1863/1/012014/meta
Arnold, T B and Tibshirani, R J. 2016. Efficient Implementations of the Generalized Lasso Dual Path Algorithm. Journal of Computational and Graphical Statistics, Volume 25 No 1: 127. DOI: 10.1080/10618600.2015.1008638
BPS. 2021. Jawa Barat Province in Figure 2020. Catalog Number: 1102001.32 [Online] Available: https://jabar.bps.go.id/publication/2020/04/27/cfab9a400cf304f800182a5f/provinsi-jawa-barat-dalam-angka-2020.html
Yanti, Y and Rahardiantoro, S. 2018. Alternatif Penggerombolan Data Deret Waktu dengan Kondisi terdapat Data Kosong. Indonesia Journal of Statistics and Its Applications. Volume 2 No 1: 13-22 [Online] Available: https://journal.stats.id/index.php/ijsa/article/view/55
Tibshirani, R. 1996. Regression Shrinkage and Selection via the Lasso. J.R. Statist.Soc B (1996) 58, No1, 267-288 [Online] Available: https://www.jstor.org/stable/2346178
Tibshirani, R J and Taylor, J. 2011. The solution path of the generalized lasso Ann. Statist. 39 (3): 13351371 [Online] Available: https://www.jstor.org/stable/23033600
Rad, KR and Maleki, A. 2018. A scalable estimate of the extra-sample prediction error via approximate leave-one-out. arXiv:1801.10243 [stat.ME]
DOI: 10.33751/komputasi.v20i1.6412 Abstract views : 188 views : 141
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 4.0 International License.