Design of a geographic information system (gis) for the spread of covid-19 disease in medan city
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Published:
Feb 28, 2023
Keywords:
Covid-19 Disease, Fuzzy C-Means, GIS, LeafletJS, Risk Map
Section
Computer Science
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Abstract
The world is currently facing an outbreak of the corona virus (Covid-19). Covid 19 is a group of highly diverse, enveloped, single-stranded RNA viruses. This disease causes respiratory tract infections in humans with severity ranging from mild to fatal. Examples of mild illnesses such as influenza while for deadly diseases such as MERS and SARS. Medan city is one of the areas that is prone to Covid-19 disease. Where the spread of Covid-19 has reached 16.4% the positive case rate with an assessment of the Covid-19 situation as of February 2022 is at Level 4. So, we need a sytem that can monitor the progress of the case. The purpose of this research is to build a geographic information sytem using the Fuzzy C-Means method and integrate GeoJSON to map the spread of the Covid-19 disease in Medan City. The results of clustering calculations using the Fuzzy C-Means method yield the following results: Cluster 1 which contains the sub-districts of Medan Amplas, Medan Area, Medan Baru, Medan Barat, and Medan Perjuangan is in the green zone. Cluster 2 which contains the sub-districts of Medan Denai, Medan Tembung, Medan Petisah, Medan Kota, and Medan Timur is in the red zone. Cluster 3 which contains the sub-districts of Medan Tuntungan, Medan Selayang, Medan Johor, Medan Sunggal, and Medan Helvetia is in the orange zone. And Cluster 4 which contains the sub-districts of Medan Polonia, Medan Maimun, Medan Deli, Medan Labuhan, Medan Marelan, and Medan Belawan is in the yellow zone.
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How to Cite
Justice Panggabean, M., Molliq Rangkuti, Y. and Muslim Karo-Karo, I. (2023) “Design of a geographic information system (gis) for the spread of covid-19 disease in medan city”, Jurnal Mantik, 6(4), pp. 3726-3736. doi: 10.35335/mantik.v6i4.3437.
References
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Abdillah, W. (2018b). Metode Penelitian Terpadu Sistem Informasi. In Andi.
Afzal, A., Ansari, Z., Alshahrani, S., Raj, A. K., Saheer Kuruniyan, M., Ahamed Saleel, C., & Nisar, K. S. (2021). Clustering of COVID-19 data for knowledge discovery using c-means and fuzzy c-means. Results in Physics, 29. https://doi.org/10.1016/j.rinp.2021.104639
Ali, E. (2020). Geographic Information System ( GIS ): Definition , Development , Applications & Components. Academia, 79.
Badan Pusat Statistik. (2020). Dampak Hasil Survey Sosial Demografi Dampak COVID-19. In BPS RI (Vol. 1999, Issue December).
Cheng, J., & Bhaskar, Karambelkar Yihui, X. (2021). Leaflet: Create Interactive Web Maps with the JavaScript “Leaflet” Library. R Package Version 2.0.4.1.
Covid-19, S. T. P. (2021). Analisis Data COVID-19 Indonesia (Update Per 24 Oktober 2021).
Damanik, Y. F. S. Y., Sumarno, S., Gunawan, I., Hartama, D., & Kirana, I. O. (2021). Penerapan Data Mining Untuk Pengelompokan Penyebaran Covid-19 Di Sumatera Utara Menggunakan Algoritma K-Means. Jurnal Ilmu Komputer Dan Informatika, 1(2). https://doi.org/10.54082/jiki.13
Dinisari, M. C. (2020). 10 Penyakit Penyebab Kematian Tertinggi di Dunia. Lifestyle.
Dong, X., Cao, Y. yuan, Lu, X. xia, Zhang, J. jin, Du, H., Yan, Y. qin, Akdis, C. A., & Gao, Y. dong. (2020). Eleven faces of coronavirus disease 2019. Allergy: European Journal of Allergy and Clinical Immunology, 75(7). https://doi.org/10.1111/all.14289
Dorman, M. (2020). GeoJSON. In Introduction to Web Mapping. https://doi.org/10.1201/9780429352874-7
Dousari, A. S., Moghadam, M. T., & Satarzadeh, N. (2020). COVID-19 (Coronavirus disease 2019): A new coronavirus disease. In Infection and Drug Resistance (Vol. 13). https://doi.org/10.2147/IDR.S259279
Dudek, A. (2020). Silhouette index as clustering evaluation tool. Studies in Classification, Data Analysis, and Knowledge Organization. https://doi.org/10.1007/978-3-030-52348-0_2
Ellyzabeth Sukmawati, Norif Didik Nur Imanah, & Dahlia Arief Rantauni. (2023). PENGETAHUAN IBU TENTANG VAKSIN COVID-19 DENGAN MOTIVASI IBU UNTUK MEMBERIKAN VAKSIN PADA ANAK YANG DI SEKOLAH DASAR. Forikes: Forum Ilmiah Kesehatan, 13. http://forikes-ejournal.com/ojs-2.4.6/index.php/SF/article/view/2361
Esri. (2019). What is GIS? | Geographic Information System Mapping Technology. In Esriuk.Com.
Hidayati, R., Zubair, A., Hidayat Pratama, A., & Indana, L. (2021). Silhouette Coefficient Analysis in 6 Measuring Distances of K-Means Clustering. Techno.Com, 20(2).
Kirana, J., Rajagukguk, K. P., Lailan, E., & Lubis, S. (2020). Analisis Dampak Covid-19 Pada Masyarakat Sumatera Utara. Jurnal Ilmiah Mahasiswa Prodi PGSD, 1(1).
Komite Penanganan COVID-19. (2021). Komite Penanganan COVID-19 dan Pemulihan Ekonomi Nasional. Komite Penanganan COVID-19 Dan Pemulihan Ekonomi Nasional.Jenis Vaksinasi Di Indonesia, 68(1), 1–12.
Kumar, N., & Kumar, H. (2022). A novel hybrid fuzzy time series model for prediction of COVID-19 infected cases and deaths in India. ISA Transactions, 124. https://doi.org/10.1016/j.isatra.2021.07.003
Mardalius. (2020). Geographic Information System Mapping Spread of Covid-19 with Framework Codeigniter. International Conference on Social, Sciences and Information Technology, 7–12.
Martindale, J. (2018). Mapping and Geographic Information Systems (GIS): What is GIS? Information on Maps/Mapping & Geographic Information Systems (GIS).
Meer, M. S., & Mishra, A. K. (2021). GIS approach for mapping novel coronavirus in northern state of India, Jammu and Kashmir. Environmental Earth Sciences, 80(17). https://doi.org/10.1007/s12665-021-09856-4
Organization, W. H. (2019). Report of the WHO-China joint mission on Coronavirus Disease 2019 (COVID-19). WHO-China Jt Mission Coronavirus Dis 2019.2020.
Pascarella, G., Strumia, A., Piliego, C., Bruno, F., Del Buono, R., Costa, F., Scarlata, S., & Agrò, F. E. (2020). COVID-19 diagnosis and management: a comprehensive review. In Journal of Internal Medicine (Vol. 288, Issue 2). https://doi.org/10.1111/joim.13091
Pillai, R. (2020). Using Geographic Information Systems (GIS). In The Routledge Handbook of Religion and Cities. https://doi.org/10.4324/9780429351181-7
Prasetyo, D., Boru, M., & Ligho, V. (2020). Rancang Bangun Aplikasi Sistem Informasi Geografis Pandemik Covid-19 Di Nusa Tenggara Timur. (Sisfotek), 5(2), 146–152.
Rahmayuda, R. S., Suhery, C., & Ilhamsyah, I. (2021). Pemanfaatan Leaflet Javascript Sebagai Peta Digital Pada Sistem Informasi Geografis Aset Pemerintah. CYBERNETICS, 5(01). https://doi.org/10.29406/cbn.v5i01.2753
Rantauni, D. A., & Sukmawati, E. (2022). Correlation of Knowledge and Compliance of Implementing 5m Health Protocols in the Post-Covid-19 Pandemic Period. In Science Midwifery (Vol. 10, Issue 4). Online. www.midwifery.iocspublisher.orgjournalhomepage:www.midwifery.iocspublisher.org
Rantauni, D. A., Sukmawati, E., & Didik Nur Imanah, N. (n.d.). ANALISIS SIKAP MAHASISWA KEBIDANAN DALAM MEMATUHI PROTOKOL KESEHATAN SEBAGAI UPAYA MENGATASI LONJAKAN COVID-19 DI LAHAN PRAKTEK (Vol. 6, Issue 1). https://doi.org/https://doi.org/10.33085/jbk.v6i1.5417
Ravaldi, C., Ricca, V., Wilson, A., Homer, C., & Vannacci, A. (2020). Previous psychopathology predicted severe COVID-19 concern, anxiety, and PTSD symptoms in pregnant women during “lockdown” in Italy. Archives of Women’s Mental Health, 23(6). https://doi.org/10.1007/s00737-020-01086-0
Rezaei, M., Nouri, A. A., Park, G. S., & Kim, D. H. (2020). Application of geographic information system in monitoring and detecting the COVID-19 outbreak. Iranian Journal of Public Health, 49, 114–116. https://doi.org/10.18502/ijph.v49is1.3679
?ezanková, H. (2018). Different approaches to the silhouette coefficient calculation in cluster evaluation. 21st International Scientific Conference AMSE, September.
Romero-Severson, E. O., Hengartner, N., Meadors, G., & Ke, R. (2020). Change in global transmission rates of COVID- 19 through may 6 2020. PLoS ONE, 15(8 August). https://doi.org/10.1371/journal.pone.0236776
Shaikh, S. A., Kitagawa, H., Matono, A., Mariam, K., & Kim, K. S. (2022). GeoFlink: An Efficient and Scalable Spatial Data Stream Management System. IEEE Access, 10. https://doi.org/10.1109/ACCESS.2022.3154063
Tian, S., Hu, N., Lou, J., Chen, K., Kang, X., Xiang, Z., Chen, H., Wang, D., Liu, N., Liu, D., Chen, G., Zhang, Y., Li, D., Li, J., Lian, H., Niu, S., Zhang, L., & Zhang, J. (2020). Characteristics of COVID-19 infection in Beijing. Journal of Infection, 80(4). https://doi.org/10.1016/j.jinf.2020.02.018
Tutorialspoint. (2019). leafletJs. Tutorials Point (I) Pvt. Ltd.
Zhou, M., Zhang, X., & Qu, J. (2020). Coronavirus disease 2019 (COVID-19): a clinical update. In Frontiers of Medicine (Vol. 14, Issue 2). https://doi.org/10.1007/s11684-020-0767-8
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