Analysis Loyalty in Video Conference Application Zoom on COVID 19 Quarantine in Jakarta

Pertiwi, Aditya Putri

doi:10.30534/ijatcse/2020/37932020

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…Zoom allow up to 100 people at a time) [7]. More than 90.000 education institution around the world used Zoom to perform teaching-learning and Zoom application is becoming more popular among student and teacher to hold video conference and webinar even privacy risk is appear [8]. So that, e-learning is becoming more important to keep learning process running well.…”

Section: Introductionmentioning

confidence: 99%

“…The next results in the student questionnaire analysis found that the way the teacher taught still used conventional methods not to match students' characteristics (learning styles) [17].E-learning failure is reporting appear when the instruction cannot match with the student expectation [18]. Despite the online environment having a strong relationship with learning behavior [8], teaching style adaptation with each student's learning styles will enhance distance education [19]. The learning style can be used by a teacher to convey material content for students [11].Learning style is considering a valid predictor of success in a Web-based learningenvironment [19].…”

Section: Introductionmentioning

confidence: 99%

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Development of E-learning System Using Felder and Silverman’s Index of Learning Styles Model

2020

IJATCSE

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The existing online education system mostly provides users with undistinguished learning content. The existing online education system assumes that users have the same characteristics or tendencies as one another. Every user is not the same; they have different characteristics, tendencies, and learning preferences. Each user has different personal characteristics, but today's online education systems ignore them. This study use Felder Silverman's learning style model. Through characteristic learning styles,relationships, and content types result in more personalized e-learning. Researchers distributed questionnaires to Informatics Engineering students at, University of August 17, Surabaya, and managed to get 277 student respondents. This data uses to determine student learning styles using a questionnaire-based psychometric instrument called the index of learning style (ILS), which uses to determine learning styles. The questionnaire, validity, reliability, determination of learning styles, learning content, and material requirements are testing. This study concludes that the questionnaire used meets the standards for determining learning styles for users. The system that builds has five modules to facilitate construction. These modules include the media library, domain repository, student model, instruction model, adaptive engine, and user interface. It can conclude that the modules made can help lecturers to distribute material according to the material content that is suitable for student learning styles and helps students to study more effectively according to their preferences.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of E-learning System Using Felder and Silverman’s Index of Learning Styles Model

2020

IJATCSE

View full text Add to dashboard Cite

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“…Early June 2020, WHO issued a recommendation for all people to use masks, healthy and sick people [3]. Even though big cities have implemented much work from home [4] [5] [6], there is still a large proportion of workers who have to work from the office. It causes the need for public transportation to remain a priority for most workers.…”

Section: Introductionmentioning

confidence: 99%

Challenges for Hazardous Waste Management Related to COVID-19 Pandemic at Train Station

Ardiana¹,

Suryawan²,

Ridhosari³

2020

IJATCSE

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The use of public transportation such as train is the practical choice for the capital city people. The active gathering place for people causing waste, in this case, at the station. Various kinds of waste can be generated inside the station, such as wastewater, domestic-like waste, and hazardous waste. In the era of the COVID-19 pandemic, hazardous waste generation is the main focus not to infect humans. The purpose of this research is to examine the management of hazardous waste from the train station. This research uses secondary data from a hazardous waste inventory. The hazardous waste inventory results before the COVID-19 pandemic, hazardous waste generation is only 2.11 kg/day, and 2% are infectious characteristics. Considering that during the COVID-19 pandemic, domestic waste such as disposable masks, used gloves, tissue/cloth containing liquid/nasal and mouth droplets would fall into the category of being treated as infectious waste. Comparison with literature studies shows infectious waste generation at the train station can reach 1.93 -12.5 L/day. Reservoirs of combustible hazardous solid waste can use used drums, combustible hazardous liquid waste can use HDPE plastic material, and hazardous toxic waste can use fiberglass. Infectious, hazardous waste was put into a container lined with yellow plastic bags with biohazard symbols and given disinfectants such as 0.5% chlorine, Lysol, and carbolic acid. Hazardous waste transportation can use a Stationary Container System (SCS), and officers must use personal protective equipment according to standards. Hazardous waste treatment can use an incinerator or autoclave.

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Analysis Loyalty in Video Conference Application Zoom on COVID 19 Quarantine in Jakarta

Cited by 2 publications

References 5 publications

Development of E-learning System Using Felder and Silverman’s Index of Learning Styles Model

Development of E-learning System Using Felder and Silverman’s Index of Learning Styles Model

Challenges for Hazardous Waste Management Related to COVID-19 Pandemic at Train Station

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