| dc.description.abstract | One of the social media sites that has the most active users is Instagram, which is in
fourth place compared to other social media sites. At this time, not a few people who
use Instagram are competing to increase the number of followers in order to gain
exposure or the trust of the wider community. Therefore, quite a few Instagram users
create fake accounts to increase their followers. Apart from that, these fake accounts are
also used to commit crimes such as fraud and cyberbullying. With so many fake
accounts popping up, a system is needed to identify Instagram accounts, whether they
are fake accounts or real accounts, in order to provide a sense of comfort and security
for Instagram users and reduce crime on Instagram. In this study, the identification of
accounts on Instagram social media will be carried out to determine the authenticity of
the account by creating a website-based system. Identification was carried out using the
Support Vector Machine method with a Radial Basis Function (RBF) kernel. The
identification process begins with data extraction, then data labeling, until the
classification process uses a support vector machine. The evaluation method used in
this research is a confusion matrix, which manifests an accuracy value of 94%. After
conducting several evaluations, it was concluded that the algorithm used by researchers
can identify real and fake accounts on Instagram with good performance. | en_US |
