In addressing the worldwide Covid-19 pandemic situation, the process of flattening the curve for coronavirus cases will be difficult if the citizens do not take action to prevent the spread of the virus. One of the most important practices in these outbreaks is to ensure a safe distance between people in public. This paper presents the detection of people with social distance monitoring as a precautionary measure in reducing physical contact between people. This study focuses on detecting people in areas of interest using the MobileNet Single Shot Multibox Detector (SSD) object tracking model and OpenCV library for image processing. The distance will be computed between the persons detected in the captured footage and then compared to a fixed pixels' values. The distance is measured between the central points and the overlapping boundary between persons in the segmented tracking area. With the detection of unsafe distances between people, alerts or warnings can be issued to keep the distance safe. In addition to social distance measure, another key feature of the system is detecting the presence of people in restricted areas, which can also be used to trigger warnings. Some analysis has been performed to test the effectiveness of the program for both purposes. From the results obtained, the distance tracking system achieved between 56.5% to 68% accuracy for testing performed on outdoor and challenging input videos, while 100% accuracy was achieved for the controlled environment on indoor testing. Whereas for the safety violation alert feature based on segmented ROI, it was found to have achieved better accuracy, i.e. between 95.8% to 100% for all tested input videos.

The study investigated the e-Learning acceptance among Malaysian higher education students. There are three exogenous variables involved, namely, performance expectancy, social influence, and perceived enjoyment. A mediating effect of self-efficacy was correspondingly tested to build a different connection point on the research area. The target population of the study are active students of Malaysia higher education institutions. Data was collected using an online platform, and out of the 557 responses received , only a total of 414 were valid and subsequently used for data analysis. The results indicated that, performance expectancy, social influence, perceived enjoyment, and self-efficacy have a positive direct statistically significant relationships with e-Learning acceptance among students. Additionally, there was a partial mediating effect of self-efficacy between performance expectations and perceived enjoyment on e-Learning acceptance. Meanwhile, social influence was found to have no mediating effect, since there was no statistically positive relationship between social influence and self-efficacy. Students with a positive feeling about the usefulness of e-Learning tend to have a positive acceptance of the e-Learning method, and this, in turn, will affect their self-efficacy, thus resulting in an excellent understanding of the lessons.

The emergence of a ‘new normal’ life caused by pandemic Coronavirus Disease (COVID-19) leads to consumer perception and business practices changes. However, there is limited data on the current market demand and condition on consumer purchase intention of organic food associated with food safety knowledge. Thus, this study aimed to examine consumer perception toward organic food in a new normal life. A total of 330 valid responses were received for analysis using Structural Equation Modelling (SEM) and PROCESS. The data were collected in Malaysia using an online questionnaire mainly because of physical distances and Movement Control Order (MCO). The finding revealed that personal attitude, perceived social pressure, and perceived autonomy influence organic food purchase intention in a new normal life. However, it is not perceived as green trust. Besides, food safety knowledge significantly moderates the relationship between personal attitudes toward organic food purchase intention. The finding is valuable for current producers, marketers, and the government body to understand the changes in consumer purchase intention in a new normal life and assist future planning and operationalising to protect, develop and maintain the organic food industry.

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