The Medical Facilities Selection Based on Location-Based Services Application Using SAW and TOPSIS Algorithm

Abstract

Emergencies are occurring in any situation. The best decision is needed in an emergency situation, such as accidents, heart attacks, and parturition. Google Maps only presents information about the closest distance and time based on Google's algorithm, without considering the best option of medical facilities based on condition in real situation. Furthermore, in this study, the decision support systems, Simple Additive Weighting (SAW), was built then combined with Google Maps API. The Haversine formula was used to get the value of radius, travel distance, and time. The system was compared to other decision support system algorithm, TOPSIS, to understand the suitable method of this system. The scopes of Medical services in this study are hospital, clinic, and PUSKESMAS. Based on experiment that is conducted on 30 data, SAW yields an accuracy of 80, while TOPSIS is 90%. While working on 10 experiments from different user coordinate points, SAW produced 70% accuracy and TOPSIS 80% compared to human experience.