Designing Application-Based COVID-19 Patient Track Records

Budi Kurniawan Hutasuhut

Abstract


Track record is a record of the success of objects from the past until now and also can be said to be a record of the past community. Information about the track record is data in both individuals and organizations. The world is being stirred up by the Corona Virus Disease pandemic (COVID-19) and in its spread through touching bodies. A powerful way to break the COVID-19 chain is that every country or region does a Lockdown. However, in some countries lockdown steps cannot be taken so it is recommended to carry out isolation independently. So we need a system that monitors a person's track record from the previous 14 days to record and record someone interacting with patients affected by COVID-19. At this time the data collection is done independently by the local government by reporting to the health sector, with the development of technology at the present time, the authors are interested in making an electronic information media about the track record of patients with Covid-19. Based on the test results on the Trace Record application, the application is designed to successfully display information about the Trace Track of COVID -19 patients so that it is expected that this application will facilitate the public and researchers to study the track record and data of COVID-19 patients can be used in the field of big data, data science and data training and testing.

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References


Fauzi, F., Al-Khowarizmi, A. K., & Muhathir, M. (2020). The e-Business Community Model is Used to Improve Communication Between Businesses by Utilizing Union Principles. JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING), 3(2), 252-257.

Lubis, A. R., Lubis, M., Al-Khowarimi, & Listriani, D. (2019, August). Big Data Forecasting Applied Nearest Neighbor Method. In 2019 International Conference on Sustainable Engineering and Creative Computing (ICSECC) (pp. 116-120). IEEE.

Al-Khowarizmi, Sitompul, O. S., Suherman, & Nababan, E. B. (2017, December). Measuring the Accuracy of Simple Evolving Connectionist System with Varying Distance Formulas. In Journal of Physics: Conference Series (Vol. 930, No. 1, p. 012004). IOP Publishing.

Al-Khowarizmi, A. K., Nasution, I. R., Lubis, M., & Lubis, A. R. (2020). The effect of a SECoS in crude palm oil forecasting to improve business intelligence. Bulletin of Electrical Engineering and Informatics, 9(4).

Al-Khowarizmi, A. K., Fauzi, F., Sari, I. P., & Sembiring, A. P. (2020). The Effect of Indonesian and Hokkien Mobile Learning Application Models. Journal of Computer Science, Information Technology and Telecommunication Engineering, 1(1), 1-7.

Safrizal, S. (2014). Rekam Jejak Dosen Sebagai Model Pengambilan Keputusan Dalam Pemilihan Dosen Berprestasi. Creative Information Technology Journal, 2(1), 65-76.

Qandi, G. A., & Rakhmawati, N. A. Visualisasi data penyebaran COVID-19 di Indonesia.

Setiawan, Y. I. S. (2020). Penetapan Karantina Wilayah Menurut Pandangan Legal Positivisme Dalam Rangka Pencegahan dan Pemberantasan Pandemi Coronavirus Disease (Covid)-19.

Lai, C. C., Shih, T. P., Ko, W. C., Tang, H. J., & Hsueh, P. R. (2020). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and corona virus disease-2019 (COVID-19): the epidemic and the challenges. International journal of antimicrobial agents, 105924.

Al-Khowarizmi, A. K. (2020). Model Classification Of Nominal Value And The Original Of IDR Money By Applying Evolutionary Neural Network. JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING), 3(2), 258-265.

Widodo, P. P. (2011). Menggunakan UML Unified Modelling Language. Yogyakarta. INFORMATIKA.

Pooley, R., & King, P. (1999). The unified modelling language and performance engineering. IEE Proceedings-Software, 146(1), 2-10.


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