Implementasi Cloud Based Video Conference System Menggunakan Amazon Web Service

Since December 2019, the world and Indonesia have fought a major disaster, namely the Covid-19 virus pandemic. With the rapid spread or transmission of the virus, the Indonesian government decided to impose social distancing or social restrictions that impacted the education sector. Students and lecturers cannot conduct lectures face-to-face in class or laboratory, but lectures must be conducted online. For that, we need an open-source system developed by the campus in carrying out online courses. This application was developed using cloud technology and JITSI as an open-source video-conferencing application. In this study, testing of the features that exist in video conferencing and resource usage on the server is carried out. The results of feature testing on the application run as expected with several important features used for learning such as chat, share screen, recording features that can run optimally. The result tested the system resources based on the number of participants, 31 participants with an average use of 2.1GB RAM and 78 participants with an average RAM usage of 2.8GB.

Examining university students’ attitudes towards using web-conferencing systems in distance learning courses: A study on scale development and application

The study aimed to develop a scale to assess students’ attitudes towards using interactive web conferencing systems in distance learning courses. An item pool was formed based on a review of the literature and the participants’ written views. A draft scale was developed with 29 items selected from this item pool. It was applied to 1100 undergraduate students in a distance program in theology, who took courses using Adobe Connect as a video conference system, together with Moodle as a learning management system. After removing incomplete or improperly filled questionnaires, a total of 596 participants’ responses were used for factor analysis. The scale was made up of four factors: user expectations on web-conference systems, user preferences for web-conferencing system, user attitudes towards using web-conferencing systems, and user problems experienced while using web-conferencing systems.

eXtreme monitoring: CERN video conference system and audio-visual IoT device infrastructure

Two different use cases for monitoring are analysed in this paper: the CERN video conference system – a complex ecosystem, which is being used by most HEP institutes, together with Swiss Universities through SWITCH; and the CERN Audio-Visual and Conferencing (AVC) environment – a vast Internet of Things (IoT), which includes a great variety of devices accessible via IP. Despite the differences between both use cases, a common set of techniques underpinned by IT services is discussed in order to tackle each situation.