Data Traffic Patterns on Urban Residential WiFi during the COVID-19 Pandemic in Indonesia

  • Ruliyanta Ruliyanta Universitas Nasional https://orcid.org/0000-0002-2439-330X
  • Rianto Nugroho, Mr Universitas Nasional
  • Raden Agustinus Suwodjo Kusumoputro Universitas Nasional

Abstract

: The COVID-19 pandemic has hit all over the world, including Indonesia. The Indonesian government has adopted a policy in the form of Large-Scale Social Restrictions. Implementation is in the form of rules for carrying out activities from home, both work and school activities. Problems that arise to support online activities require data traffic. The Indonesian government needs accurate information about data traffic consumption patterns to support online activities. The purpose and objective of this study was to measure changes in data traffic usage patterns during the COVID-19 pandemic. We measure data on Residential Wi-Fi, which Indonesians widely use. Our method by observed 100 randomly selected clients. The contribution of this study is the amount of data traffic measured on Residential Wi-Fi during the COVID-19 pandemic in Indonesia. The average data usage per day before the COVID-19 pandemic was 35.13 M-Byte. During the pandemic 40.41 M-Byte per day. So, the COVID-19 pandemic experienced a 15.01 percent increase in data traffic. Our findings are that 30% of Residential Wi-Fi subscribers unsubscribe. The survey shows that 68% unsubscribed due to switching to an authorized ISP service with fiber optic access that offers high speed.

Published
2023-05-26
How to Cite
Ruliyanta, R., Nugroho, R., & Kusumoputro, R. A. (2023). Data Traffic Patterns on Urban Residential WiFi during the COVID-19 Pandemic in Indonesia. Journal of Advanced Computing Technology and Application (JACTA), 5(1), 43-56. Retrieved from https://jacta.utem.edu.my/jacta/article/view/5281
Issue
Vol 5 No 1 (2023)
Section
Articles

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