ABSTRACT
Coronavirus disease 2019 (Covid-19) was contagious and a pandemic was declared in early first quarter of 2020. The effect of the rapid infection caused the Malaysian government to impose a Movement Control Order (PKP) throughout the country. After a year, the current conditions left a negative effect on the people, especially involving the economic sector, so that many lost their livelihood. This situation encourages some women to help out in earning a living to ease the burden of the family. However, the difficulty of sexual harassment, depression, excessive workload, childcare problems are becoming more serious among female workers owing to the new normative work culture. The question is, what is the solution that can be put forward to curb the crisis? Thus, this investigation seeks to identify and highlight ethics for working women, adapted from the story of two Madyan girls recorded in surah al-Qasas (28: 23-25). Based on the study of this story, this study found that the ethics of women in career and economic activities can be summarized into 8M, namely: mas'uliah (responsibility);muru'ah (maintaining self-esteem);ma'rifah (having knowledge);maharah (having skills);ma'manah (keeping safe);muhadathah (communication), muwanah (teamwork);and mushawarah (consultation). The work ethics outlined are able to provide a positive impact in meeting some of the conditions and good practices in the career or working world.
ABSTRACT
COVID-19 which is also known as the novel coronavirus started from China. Motivated by continuous advancement and employments of the Artificial Intelligence (AI) and IoT in various regions, in this study we focus on their underlining deployment in responding to the virus. In this survey, we sum up the current region of AI applications in clinical associations while battling COVID-19. We moreover survey the component, challenges, and issues identified with these technologies. A review was made in requesting AI and IoT by then recognizing their applications in engaging the COVID-19. In like manner, emphasis has been made on a region that utilizes cloud computing in combating diverse similar diseases and the COVID-19 itself. The investigated procedures set forth drives clinical information examination with an exactness of up to 95%. We further end up with a point by point discussion about how AI utilization can be in an ideal situation in battling diverse diseases. This paper gives masters and specialists new bits of information in which AI and IoT can be utilized in improving the COVID-19 situation, and drive further assessments in ending the flare-up of the infection. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
ABSTRACT
The infectious novel coronavirus (COVID-19) is said to have originated from China. The COVID-19 pandemic has spread over a hundred nations and regions on the planet and has fundamentally influenced each part of our day-by-day lives. As of present, the quantities of COVID-19 cases and deaths despite everything increment fundamentally and do not indicate a very much controlled circumstance;over a thousand cases have been accounted for around the world. Artificial intelligence (AI) goal is to adapt to human conceptual cutoff points. It is getting an outlook on human organizations, filled by the developing accessibility of helpful clinical information and the snappy movement of keen systems. Inspired by ongoing progress and uses of the artificial intelligence (AI) and Big Data in different territories, in this survey we target their underlying significance in reacting to the coronavirus flare-up and forestalling the extreme effect of the epidemic. In this survey, we initially summarize the current territory of AI applications in clinical organizations while combating COVID-19. Besides, we feature the use of Big Data while cubing this infection. We additionally review the feature, difficulties, and issues related to discovering solutions. An overview was made in ordering AI and Big Data, at that point distinguishing their applications in battling against COVID-19. Likewise, an accentuation has been made on districts that use cloud computing in battling different comparable infections to COVID-19 and COVID-19 itself. The explored strategies put forth propel clinical data investigation with a precision of up to 90%. We further end up with a point-by-point conversation about how AI usage can be in a favorable position in fighting different comparative infections. This paper gives specialists and researchers new bits of knowledge into the manners in which AI and Big Data can be used in improving the COVID-19 circumstance and drive further examinations in halting the outbreak of the virus. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.