Abstract
COVID-19 was originally diagnosed in Wuhan, China, in late December 2019; it subsequently expanded internationally, affecting around 7 million people and caused 300,000 deaths by May 2020. An Application that could surveillance the Covid-19 in Indonesia is needed. Therefore, we proposed a prediction application for the COVID-19 pandemic situation in Indonesia by referring to public compliance with surveillance policies using the SPCIRD model. The Levenberg Marquardt curve fitting method was chosen because it is simple and produces a reasonably good model. According the result of questionnaire and black box testing our application performed really well. The result of our SPCIRD model with Levenberg-Marquardt optimization achieved R2 with the score -1.248 in active cases, -0.235 in recovered and -3.982 in death for 281 number of iterations. We are also achieved 93.3% that agree and very agree with the application usability to understand and to predict pattern from COVID-19. It was also had 83.3\% respondent that satisfy with the prototype.
Keywords: SPCIRD, COVID-19, Levenberg-Marquardt, Python, Waterfall
References
- 1.Abdelsamad AMO, Karrar AZ. 2020 Int. Conf. Comput. Control Electr. Electron. Eng. ICCCEEE. IEEE; Khartoum, Sudan: 2021. An Interactive Dashboard for Monitoring the Spread of COVID-19 in Sudan; pp. 1–6. [DOI] [Google Scholar]
- 2.Chauhan R, Goel P, Kumar V, Soni N, singh N. 2021 Int. Conf. Adv. Comput. Innov. Technol. Eng. ICACITE. IEEE; Greater Noida, India: 2021. Understanding Covid-19 using data visualization; pp. 555–559. [DOI] [Google Scholar]
- 3.Dixon BE, Grannis SJ, Tachinardi U, Williams JL, McAndrews C, Embi PJ. 2020 Workshop Vis. Anal. Healthc. VAHC. IEEE; MD, USA: 2020. Daily Visualization of Statewide COVID-19 Healthcare Data; pp. 1–3. [DOI] [Google Scholar]
- 4.Talavia Y, Singh P, Manoharan S. 2021 IEEE Asia-Pac. Conf. Comput. Sci. Data Eng. CSDE. IEEE; Brisbane, Australia: 2021. Covid-19 Tracker: A data visualization tool for time series data of pandemic in India; pp. 1–5. [DOI] [Google Scholar]
- 5.Fukuta T, Ito H, Funahashi K. 2021 IEEE 10th Glob. Conf. Consum. Electron. GCCE. IEEE; Kyoto, Japan: 2021. Estimating the Optimal Parameters of SEIR model for Predicting the Trajectory of COVID-19 Pandemic in Japan; pp. 490–493. [DOI] [Google Scholar]
- 6.Ge J, Zhang L, Chen Z, Chen G, Peng J. 2020 IEEE 19th Int. Conf. Cogn. Inform. Cogn. Comput. ICCICC. IEEE; Beijing, China: 2020. Simulation Analysis of Epidemic Trend for COVID-19 Based on SEIRS Model; pp. 158–161. [DOI] [Google Scholar]
- 7.Wu W. 2022 IEEE 2nd Int. Conf. Power Electron. Comput. Appl. ICPECA. IEEE; Shenyang, China: 2022. Computer intelligent prediction method of COVID-19 based on improved SEIR model and machine learning; pp. 934–938. [DOI] [Google Scholar]
- 8.Zou S, Fan Q, Zhang Z, Yu M. 2021 IEEE Asia-Pac. Conf. Image Process. Electron. Comput. IPEC. IEEE; Dalian, China: 2021. Improved SEIR prediction model based on particle swarm optimization; pp. 733–737. [DOI] [Google Scholar]
- 9.Bahar IAA, Nasirin S, Lada S, Nistah NM, Seman EAA, Miskon S. 2021 16th Iber. Conf. Inf. Syst. Technol. CISTI. IEEE; Chaves, Portugal: 2021. Developing COVID-19 Web and Mobile Web Situation Reporting Applications for the State Health Authority; pp. 1–3. [DOI] [Google Scholar]
- 10.Miranda E, Aryuni M, Richard . 2021 2nd Int. Conf. Smart Cities Autom. Intell. Comput. Syst. ICON-SONICS. IEEE; Tangerang, Indonesia: 2021. Mobile-Based Telemedicine Application during COVID-19 Pandemic (Case Study in Sawah Besar Community Health Center; pp. 7–12. [DOI] [Google Scholar]
- 11.Phung K, Odongo S, Ogunshile E. 2020 8th Int. Conf. Softw. Eng. Res. Innov. CONISOFT. IEEE; Chetumal, Mexico: 2020. Covid-19 Care – A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown; pp. 124–133. [DOI] [Google Scholar]
- 12.Zakary O, Bidah S, Rachik M, Ferjouchia H. Mathematical Model to Estimate and Predict the COVID-19 Infections in Morocco: Optimal Control Strategy. J Appl Math. 2020;2020:1–13. doi: 10.1155/2020/9813926. [DOI] [Google Scholar]
- 13.Pressman RS, Maxim BR. Nineth edition. McGraw-Hill Education; New York, NY: 2020. Software engineering: a practitioner's approach. [Google Scholar]
- 14.Shneiderman B, Plaisant C, Cohen M, Jacobs SM, Elmqvist N. Sixth Edition. Pearson; Boston: 2017. Designing the user interface: strategies for effective human-computer interaction. [Google Scholar]