XL Network Traffic Increases During A Week Of Work And Study From Home

JAKARTA - PT XL Axiata Tbk. (EXCL) noted a significant increase in data traffic, along with working and studying from home to minimize transmission of the COVID-19 virus. At least the increase in XL internet users is up 10 percent from the average usage on normal days.

Plt. Chief Technology Officer of XL Axiata I Gede Darmayusa said the increase in XL Axiata service traffic reached 10 to 15 percent during peak hours, between 09.00 and 12.00 WIB. In fact, generally, this kind of traffic spike occurs during the Eid holidays or Christmas and New Year.

"The highest increase in traffic reached 15 percent compared to normal days. The trigger is mainly access to data services that support work and study from home," said I Gede in his press streaming broadcast.

Apart from productivity and learning from home, XL also recorded an increase in internet traffic on entertainment services. XL records that its user data traffic comes from accessing Netflix and game applications such as Mobile Legends.

"For Netflix, the peak is in the afternoon into the evening, maybe when people are tired of working or studying they then watch Netflix," added Gede.

In monitoring the XL Customer Experience and Service Operation Center network, user access to online learning platforms such as the Google Class Room and RuangGuru has also increased quite drastically. Moreover, XL Axiata has indeed provided 2 GB of free data quota every day to access a number of educational services.

Data traffic also occurs for social media users. where the public and many customers monitor developments and information regarding the Covid-19 outbreak, both on Facebook, Instagram, YouTube and Twitter as well as websites that provide information about Covid-19.

As the Covid-19 virus continues to spread to various regions, XL Axiata is also ready to maintain network performance in all service areas. Some of the steps include deploying mobile BTS (MBTS) to locations where it is needed, as well as engineering traffic diversion to looser networks.