Mobile-Based Nearby Mosque Determination System Application Using Particle Swarm Optimization (PSO) Algorithm In the Gayungan District

Abstract

Public facilities related to religion one of which is the mosque. Mosque Is a place of worship for Muslims
worldwide. The city of Surabaya which incidentally is a tourist city that is often visited by foreign and local tourists,
and especially the Muslims who want to establish prayer and need access to the location of the nearest mosque. The
real condition that often happens is that tourists do not know the position of the closest mosque around them, so spend
time searching for the existence of the mosque. Particle Swarm Optimization Method is an algorithm that is inspired
by the behavior of a group of birds in a group to look for food. This method is one of the methods for searching the
shortest distance. With this method, it can provide solutions to produce the closest location. From the tests carried
out, the Particle Swarm Optimization algorithm has been successfully applied to the search for the nearest Mosque
location point and has successfully designed and built a nearby Mosque location search application based on Android
Mobile. By comparing with the euclidean distance algorithm the results of Particle Swarm Optimization show that
70% accurately show the same results.