Design of a Customer Service System Based on Video Conference Using WebRTC

Technological developments have changed the way customer service operates, from face-to-face interactions to more efficient digital platforms. WebRTC is emerging as a key technology in building video conferencing-based customer service systems for real-time communication and enhanced customer experience. This research focuses on developing a video conferencing system with WebRTC, through the stages of design, implementation, and testing. The results of this research show that testing on Microsoft Edge provides a total inspection time of 14,629 ms with 584.1 MB memory usage and 4.4% CPU. Meanwhile, on Google Chrome, the total inspection time was recorded at 14,845 ms with memory usage of 656.1 MB and CPU of 0.8%. The results show an efficient use of resources.

Authors

Publication Details

Journal
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi)
Published
2024-12-30
DOI
https://doi.org/10.24843/jim.2024.v12.i03.p01
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of a Customer Service System Based on Video Conference Using WebRTC

I Nyoman Piarsa, Putu Wira Buana, Adhitya Fathana
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi)
Wireless Sensor Networks and IoT
article

Design of a Customer Service System Based on Video Conference Using WebRTC

I Nyoman Piarsa, Putu Wira Buana, Adhitya Fathana
article en

Abstract

Technological developments have changed the way customer service operates, from face-to-face interactions to more efficient digital platforms. WebRTC is emerging as a key technology in building video conferencing-based customer service systems for real-time communication and enhanced customer experience. This research focuses on developing a video conferencing system with WebRTC, through the stages of design, implementation, and testing. The results of this research show that testing on Microsoft Edge provides a total inspection time of 14,629 ms with 584.1 MB memory usage and 4.4% CPU. Meanwhile, on Google Chrome, the total inspection time was recorded at 14,845 ms with memory usage of 656.1 MB and CPU of 0.8%. The results show an efficient use of resources.

Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi)Vol. 12(3)
Openalex Percentile: Top 67%
Wireless Sensor Networks and IoT
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.