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

B. Santoso, Wiwiet Herulambang, M. Hidayat
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Abstract

Public facilities related to religion one of which is the mosque. Mosque Is a place of worship for Muslimsworldwide. 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. Thereal condition that often happens is that tourists do not know the position of the closest mosque around them, so spendtime searching for the existence of the mosque. Particle Swarm Optimization Method is an algorithm that is inspiredby the behavior of a group of birds in a group to look for food. This method is one of the methods for searching theshortest distance. With this method, it can provide solutions to produce the closest location. From the tests carriedout, the Particle Swarm Optimization algorithm has been successfully applied to the search for the nearest Mosquelocation point and has successfully designed and built a nearby Mosque location search application based on AndroidMobile. By comparing with the euclidean distance algorithm the results of Particle Swarm Optimization show that70% accurately show the same results.
基于移动的粒子群优化(PSO)算法的清真寺附近定位系统在加云安地区的应用
与宗教有关的公共设施其中之一就是清真寺。清真寺是全世界穆斯林做礼拜的地方。泗水市是一个旅游城市,经常有外国和当地游客参观,特别是那些想要建立祈祷和需要进入最近清真寺的穆斯林。经常发生的真实情况是,游客不知道他们周围最近的清真寺的位置,所以花时间寻找清真寺的存在。粒子群优化方法是一种受一群鸟在一群中寻找食物的行为启发的算法。该方法是搜索最短距离的方法之一。通过这种方法,它可以提供产生最近位置的解决方案。实验结果表明,粒子群优化算法已成功应用于最近的清真寺定位点搜索,并成功设计并构建了基于AndroidMobile平台的附近清真寺定位搜索应用。通过与欧氏距离算法的比较,粒子群算法的精度达到70%。
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