ABSTRACT
Epidemic models such as SIR, SIS, SEIR are widely used to calculate changes in the number of cases in an epidemic/pandemic. Many parameters affect the spread, in several cases, until the completion of a pandemic. Visualization of the influence of parameters on the number of cases in the Covid-19 pandemic can help show the development of the number of Covid-19 cases over a certain period. This paper shows the visualization of the influence of the community response to the Covid-19 pandemic situation as one of the most significant spreading parameters. The model used is the SIR Epidemic Model as the basic model which is more general and can be used in almost any model for pandemics. The visualization results show that the community's response in maintaining the spread of Covid-19 will determine whether the number of cases in this pandemic will increase, constant, or decrease significantly. © 2021 IEEE.
ABSTRACT
Coronavirus Disease 2019 or COVID-19 is a new disease that can cause respiratory and inflammatory disorders. As a new model virus the general public has difficulty finding its match and then consider it trivial. The spread of the disease caused by COVID virus 19 is set to become a pandemic by the WHO as of March 12, 2020. Development of covid-19 pandemic data in Indonesia, has claimed 1089 lives on May 17, 2020 (source: http://covid19.bnpb.go.id/) and is a major threat to global public health especially Indonesia. The pandemic behavior in one area can be learned by comparing behavior in other regions. We propose SEIR epidemic models (S = Suspect, E = Expose, I = Infected, and R = Recovered) to predict the behavior of covid-19 transmission in Indonesia with parameters of distribution, cure rate, mortality rate, communication rate and movement. The appropriate parameters to predict the behavior of the Covid-19 virus spreading in Indonesia, firstly, the number of cases that occurred in Indonesia are compared with other countries that were first exposed to this pandemic. Several countries in Asia, Australia, Europe and America are chosen for comparison. Comparisons are performed by examining the maximum correlation values in each country. The pattern of the number of cases that occurred in Indonesia is very similar to the UK, Malaysia and Australia. The first prediction maximum number of new cases per daily is 1,343 people occurring on May 15, 2020. The end of the pandemic is predicted on August 8-10, 2020 (circumstance 1). The second prediction maximum number of new cases per daily is 1,034 people occurring on May 30, 2020. The end of the pandemic is predicted on September 9-10, 2020 (circumstance 2). The SEIR model for predicting the number of Covid-19 cases is sufficient when there is no further development of this pandemic. © 2020 IEEE.
ABSTRACT
In this paper, we explore potential challenges of online learning activity in Politeknik Elektronika Negeri Surabaya at the beginning of Covid-19 outbreak. We start our exploration from performance phase to self-reflective phase according to Zimmerman's learning phase. There are three challenge that could be defined from the exploration. First challenge is about how to cultivates ask-for-help culture for students so that students could understand their learning resources well. Second challenge is about how to cultivate learning journey sharing so that students could have a lot of exposure to learning resources that easier to understand. Third challenge is about how to cultivate self-reflective habit for students so that the students could have awareness to improve their learning method and get better learning outcome. © 2020 IEEE.
ABSTRACT
Due to pandemic spreads of COVID-19 and increasing populations of seniors, exercises or performance practices at home have become important to maintain healthy lives around the world. World Health Organization (WHO) has announced the physical health determines the Quality of Life (QoL) of a human. Unfortunately, a lot of people have no exercise and may be in unhealthy conditions. In this paper, we propose an Exercise and Performance Learning Assistant System (EPLAS) to assist people practicing exercises or learning performances by themselves at home. EPLAS adopts inexpensive devices and free software for low-cost implementation. It offers a video content of model actions by an instructor to be followed by the user, where the reaction is rated by comparing the feature points of the human bodies extracted by an open-source software OpenPose. For evaluations, we conduct experiments of applying EPLAS with five Yoga poses to 41 persons in Indonesia, Japan, and Taiwan, and confirm the effectiveness of the proposal. © 2020 ASTES Publishers. All rights reserved.