Forecasting the recovery of COVID-19 patients in East Java using the Fuzzy time series Cheng method

T. Yulianto, Faisol Faisol, Fatimatus Zahroh, S. Suryanti, Mohamad Tafrikan
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Abstract

Coronavirus 2019  (COVID-19) has significantly impacted Indonesia. Social restrictions in Indonesia's major cities and rural areas have been put in place as the coronavirus spreads. The Indonesian government is more vigilant with the spread of COVID-19, namely by issuing a lockdown policy to PSBB (Large-Scale Social Restrictions). Almost all Indonesian people have complied with the guidelines set by the government, namely carrying out all activities in a WFH manner to minimize the chain of distribution of COVID-19 in Indonesia. The author of this work forecasts the recovery rate of Covid-19 patients in the East Java region using the Cheng Fuzzy Time Series approach. After checking the simulation with real in the field, it can be seen that using 51 data starting from February 4 2021 to March 26 2021 gives results MAPE = 0.4602%, which means the forecasting is very accurate.©2021 JNSMR UIN Walisongo. All rights reserved.
模糊时间序列Cheng法预测东爪哇地区新冠肺炎患者康复情况
2019年冠状病毒(COVID-19)对印度尼西亚造成了重大影响。随着冠状病毒的传播,印度尼西亚主要城市和农村地区已经实施了社会限制。印度尼西亚政府对新冠肺炎疫情的扩散提高了警惕,对PSBB(大规模社会限制)实施了封锁政策。几乎所有印尼人都遵守了政府制定的指导方针,即以WFH的方式开展所有活动,最大限度地减少新冠病毒在印尼的传播链。本文采用Cheng模糊时间序列方法预测了东爪哇地区新冠肺炎患者的康复率。将模拟结果与现场真实数据进行对比,可以看出,使用2021年2月4日至2021年3月26日的51个数据,得到的预测结果MAPE = 0.4602%,表明预测非常准确。©2021 JNSMR UIN Walisongo。版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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