Android Application Development with Multi-Criteria Decision Making to distinguish Covid-19, Influenza, and Cold infections

Endar Suprih Wihidayat, Agus Efendi, Cucuk Wawan Budiyanto, Puspanda Hatta

Abstract

Infection symptoms are physical or mental characteristics that indicate a disease condition, especially those visible to the patient. The World Health Organization (WHO) issued a document containing symptoms of infection by the Covid-19 virus, including fever, dry cough, fatigue, and shortness of breath. These symptoms have similarities with illnesses caused by Influenza and Cold viruses, and it is difficult for most people to distinguish the differences between them. We proposed a Research and Development (RnD) study, developing an android app that embeds a Simple Additive Weighting (SAW) algorithm. However, this article will not cover the development process of the android app, but mostly how the algorithm works. This study aims to help people differentiate Influenza, Cold, and Covid-19 virus infections based on their symptoms through an Android-based application. We used weights provided by WHO and several related studies to be processed by the SAW decision-making algorithm, one of the Multi-Criteria Decision Making (MCDM) algorithms, a method that makes decisions based on multiple conflicting criteria. The user can get the most similar type of infection by entering the symptoms. The app showed its potential in achieving research objectives and the feasibility of being applied in the community.

Keywords

Covid-19 Symptom; Simple Additive Weighting (SAW); Multi-Criteria Decision Making (MCDM)

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References

Abraham, K., Lepech, M., & Haymaker, J. (2013). Selection and application of choosing by advantages on a corporate campus project. In 21st Annual Conference of the International Group for Lean Construction 2013, IGLC 2013 (Vol. 1, pp. 349–354). Fortaleza.

CDC. (2020). Symptoms of Coronavirus. Retrieved April 1, 2020, from https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html

Chen, T. Y. (2011). Comparative analysis of SAW and TOPSIS based on interval-valued fuzzy sets: Discussions on score functions and weight constraints. Expert Systems with Applications, 39(2), 1848–1861. https://doi.org/10.1016/j.eswa.2011.08.065

Goodridge, W., Bernard, M., Jordan, R., & Rampersad, R. (2017). Intelligent diagnosis of diseases in plants using a hybrid Multi-Criteria decision making technique. Computers and Electronics in Agriculture, 133, 80–87. https://doi.org/10.1016/j.compag.2016.12.003

Habtemariam, B. T., & Fang, Q. (2016). Zoning for a multiple-use marine protected area using spatial multi-criteria analysis: The case of the Sheik Seid Marine National Park in Eritrea. Marine Policy, 63, 135–143. https://doi.org/10.1016/j.marpol.2015.10.011

Javidi Sabbaghian, R., Zarghami, M., Nejadhashemi, A. P., Sharifi, M. B., Herman, M. R., & Daneshvar, F. (2016). Application of risk-based multiple criteria decision analysis for selection of the best agricultural scenario for effective watershed management. Journal of Environmental Management, 168, 260–272. https://doi.org/10.1016/j.jenvman.2015.11.038

Niu, S., Tian, S., Lou, J., Kang, X., Zhang, L., Lian, H., & Zhang, J. (2020). Clinical Characteristics of Older Patients Infected with COVID-19: A Descriptive Study. Archives of Gerontology and Geriatrics, 89(April), 104058. https://doi.org/10.1016/j.archger.2020.104058

Shahdany, S. M. H., & Roozbahani, A. (2016). Selecting an appropriate operational method for main irrigation canals within multicriteria decision-making methods. Journal of Irrigation and Drainage Engineering, 142(4), 1–9. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000996

Wang, P., Zhu, Z., & Wang, Y. (2016). A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design. Information Sciences, 345, 27–45. https://doi.org/10.1016/j.ins.2016.01.076

WHO. (2020). Covid-19 Symptoms. Retrieved April 1, 2020, from https://www.who.int/news-room/q-a-detail/q-a-coronaviruses

Xu, L., & Yang, J. (2001). Introduction to multi-criteria decision making and the evidential reasoning approach. Manchester School of Management. Manchester.

Yang, A. P., Liu, J. ping, Tao, W. qiang, & Li, H. ming. (2020). The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients. International Immunopharmacology, 84(April). https://doi.org/10.1016/j.intimp.2020.106504

DOI: https://doi.org/10.20961/ijie.v6i1.58168