_.gif)
_.gif)
The Application of Prediction Data Miningbed Occupancy Rate of Covid-19 Patients in West Java
Abstract
The Covid-19 pandemic in 2020 is a complex health problem and requires fast handling. Covid-19 patients who receive treatment in hospitals have different conditions and severity. This affects the handling actions that will be carried out by medical officers. The large number of patients and the lack of medical personnel and the availability of beds have resulted in the need for technological support to help predict the status of patient bed availability based on their condition so that treatment is concentrated on patients who are very critical and require rapid treatment. This research applies prediction techniques from data mining disciplines to predict a spike or decrease in BOR (Bed Occupancy Rate). Prediction using the C4 algorithm. 5 was applied to build a model based on the Covid-19 bed availability dataset. The Covid-19 BOR (Bed Occupancy Rate) dataset in West Java was obtained from Opendata.jabarprov.go.id and applied using Rapid Miner. The model built can predict the status of bed availability based on the occupancy of the patient's hospitalization. The results of this study indicate that predictions using the C4.5 Algorithm method have a high level of accuracy of %.
Keywords
Full Text:
PDFReferences
A. Fattah and R. Setyadi, “Teknologi informasi dan pendidikan,” J. Teknol. Inf. dan Pendidik., vol. 12, no. 2, pp. 1–7, 2019
Albert Verasius Dian Sano, S.T., M.Kom, Cara Kerja Data Mining – Seri Data Mining For Business Intelligence (3)
Angelia, N. (2020). Analysis of Community Institution Empowerment as a Village Government Partner in the Participative Development Process. Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 3 (2): 1352-1359.
binus.ac.id/malang/2019/01/cara-kerja-data-mining-seri-data-mining-for-business-intelligence-3/
Bara, A., et.al. (2021). The Effectiveness of Advertising Marketing in Print Media during the Covid 19 Pandemic in the Mandailing Natal Region. Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 4 (1): 879-886.
C. Long et al., “Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?,” Eur. J. Radiol., vol. 126, p. 108961, May 2020, doi: 10.1016/j.ejrad.2020.108961.
Dama, M., et.al. (2021). Implementation of Green Government by the Regional Government of East Kalimantan Province as a Form of Ecological Principles (Case Study of the Impact of the Implementation of Coal Mining Policy in Samarinda City). Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 4 (3): 4445-4457.
Elmande, Yusuf. 2012. Pemilihan Criteria Splitting Dalam Algoritma Iterative Dichotomiser 3 (ID3) untuk PenentuanKualitas Beras : Studi Kasus Pada Perum BulogDivre Lampung. Jurnal TELEMATIKA MKOM
Faradillah, Sarah. 2013. Implementasi Data Mining Untuk Pengenalan Karakteristik Transaksi Customer DenganMenggunakan Algoritma C4.5. Pelita Informatika Budi Darma, Volume : V, Nomor: 3.
S. Sanche, Y. T. Lin, C. Xu, E. Romero-Severson, N. Hengartner, and R. Ke, “High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2,” Emerg. Infect. Dis. J., vol. 26, no. 7, 2020, doi: 10.3201/eid2607.200282.
L. K. Kumar and P. J. A. Alphonse, “Automatic Diagnosis of COVID-19 Disease using Deep Convolutional Neural Network with Multi-Feature Channel from Respiratory Sound Data : Cough , Voice , and Breath Reference : To appear in : Received Date : Revised Date : Accepted Date : Abstract :,” Alexandria Eng. J., 2021, doi: 10.1016/j.aej.2021.06.024.
M. Sukmana, M. Aminuddin, and D. Nopriyanto, “Indonesian government response in COVID-19 disaster prevention,” East Afrian Sch. J. Med. Sci., vol. 3, no. 3, pp. 81–6, 2020, doi: 10.36349/EASMS.2020.v03i03.025.
M. Abed Alah, S. Abdeen, and V. Kehyayan, “The first few cases and fatalities of Corona Virus Disease 2019 (COVID-19) in the Eastern Mediterranean Region of the World Health Organization: A rapid review,” J. Infect. Public Health, vol. 13, no. 10, pp. 1367–1372, 2020, doi: 10.1016/j.jiph.2020.06.009.
Ningrum, P.A., Hukom, A., and Adiwijaya, S. (2020). The Potential of Poverty in the City of Palangka Raya: Study SMIs Affected Pandemic Covid 19. Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 3 (3): 1626-1634.
Opendata.jabarprov.go.id
Rahmaniah, S.E., Syarmiati, and Paramita, R.R. (2021). Community Resilience and Digital Literacy Model during the COVID-19 Outbreak in Indonesia. Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 4 (4): 5339-5346.
Sihombing, E.H., and Nasib. (2020). The Decision of Choosing Course in the Era of Covid 19 through the Telemarketing Program, Personal Selling and College Image. Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 3 (4): 2843-2850.
T. Miller, “Explanation in artificial intelligence : Insights from the social sciences,” Artif. Intell., vol. 267, pp. 1–38, 2019, doi: 10.1016/j.artint.2018.07.007.
DOI: https://doi.org/10.33258/birci.v5i2.4671
Article Metrics
Abstract view : 41 timesPDF - 26 times
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.