Corruption occurs in many developing countries
and is very difficult to detect because of weak legal awareness,
lack of good governance, and integrity. In Indonesia, there are
seven types of corruption cases handled by the Corruption
Eradication Commission (KPK). One of the corruption cases
which is detrimental to the state occurs in public procurement,
such as the procurement of goods/services. This case is the
second most corrupt crime after bribery in Indonesia. In this
research, we try to identify potential corruption from auction
data on goods/services procurement in government. By using
Big Data technology, it is expected that the process can be
carried out immediately to assist the KPK in identifying
potential corruption in goods/services procurement auctions.