Abstract— The Covid-19 pandemic has had such a
devastating impact on Online Travel Agents such as Traveloka
that it has made it to the lowest phase it has ever experienced.
There are government regulations that limit people's social
interactions so that various strategies are carried out, from
using promos or utilizing application features. The purpose of
this research is to find out whether the difference in social
interaction between Traveloka users before and during the
Covid pandemic was significant enough to evaluate
Traveloka's marketing strategy. Decreased application usage,
ticket rescheduling requests to refund requests which are
currently Traveloka's problems. This research is qualitative
research that uses the Social Network Analysis (SNA) method
using the Twitter application assisted by the Jupyter Anaconda
application, Google collab, and Ghepi. From the visualization
of this study, the results obtained from 3 research focuses had
significant differences from social interactions using Traveloka
during the pandemic. From promos that experienced a
decrease in interaction during the pandemic, Traveloka
Xperience experienced an increase in feature usage, and the
ticket feature experienced a decline in social interaction. So
that Traveloka is expected to improve the company's strategy
to survive during the pandemic.