Analysis of Government Policy in Handling Covid-19 in Indonesia

Atika Kautsar Ilafi, Annisa Nur Fadhilah, Lita Jowanti
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Abstract

The Covid-19 pandemic has affected the economy in many countries, including Indonesia. Until July 2021, the Government has implemented social activity policies for the community, starting from Large-Scale Social Restrictions in the first semester of last year to PPKM Level 4 to stop the spread of Covid-19. Responding to the Covid-19 pandemic, Google released data from people who access google applications using mobile devices. The Google Mobility report shows changes in population activity and mobility in several locations. This study aims to examine the effect of the PSBB and PPKM policies in Indonesia on the decline in COVID-19 cases in Indonesia using the Google Mobility Index and their impact on the economy in Indonesia. The analysis uses graphs and Pearson Correlation and Long Short-Term Memory (LSTM) method to predict Covid-19 cases and mobility data. The result shows that the mobility of people to five places has a significant effect on the number of daily cases of Covid-19, while there is a significant effect on three places of community mobility on Indonesian economic. As the results, controlling the spread of Covid-19 is better prioritized than economic condition.
印尼政府应对新冠肺炎政策分析
新冠肺炎大流行影响了包括印度尼西亚在内的许多国家的经济。到2021年7月为止,政府为阻止新冠疫情的扩散,从去年第1学期的大规模社会限制到PPKM第4级,实施了社区社会活动政策。为应对Covid-19大流行,谷歌发布了使用移动设备访问谷歌应用程序的用户数据。谷歌移动报告显示了几个地区人口活动和流动性的变化。本研究旨在利用谷歌流动性指数(Google Mobility Index)考察印尼的PSBB和PPKM政策对印尼COVID-19病例下降的影响及其对印尼经济的影响。该分析使用图形和皮尔逊相关和长短期记忆(LSTM)方法预测新冠肺炎病例和流动性数据。结果表明,5个地方的人口流动对日新增病例数有显著影响,3个地方的社区流动对印尼经济有显著影响。因此,控制新冠病毒的传播比经济状况更重要。
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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