Security System To Prevent Terrorism Actions Using Face Recognition In Worship Building

Worship activities are essential things that need to be done by every religious community in Indonesia. This activity is carried out in places of worship that need to be respected and guarded to create a sense of security for people who worship and make worship activities run smoothly. However, the problem of acts of terrorism that have recently occurred in places of worship threatens the sense of security that exists in people when they carry out worship activities. From the problems found, researchers designed a security system in places of worship using face recognition technology. The method used in this research is the prototype model. Data is collected by conducting interviews and literature studies. Researchers will use deep learning algorithms such as MTCNN and ResNet to develop a security system that uses face recognition. The result of the research is a security system in places of worship that can monitor near the entrance of places of worship to reduce the possibility of acts of terrorism in places of worship.