Mobile-Based Hospital Recommendation According To Patient Needs Using SAW Method (Case Study: Banda Aceh)

Abstract

To get the appropriate treatment, there are still obstacles in determining which hospital should be chosen, because it often does not suit the needs/conditions of the patient. Also, more time is needed to determine the hospital. So, a tool is needed to choose a hospital by considering the patient’s needs and speeding up the process of determining the destination hospital. Several criteria are taken into consideration in choosing a hospital, namely: facilities, insurance, fees, availability of specialist doctors and distance. Simple Additive Weighting is used because it can make recommendations from several criteria and has a faster processing time than other methods. This system is built on a mobile basis because most people already have a smartphone, in addition to getting information on the value of the distance from the user’s location to the hospital. Based on the results of testing, the average time needed by the system to produce hospital recommendations is 28.99 seconds. Based on the comparison of recommendations from experts and systems for 51 test cases, the similarity level was 88.24%. With these results, the system managed to provide hospital recommendations based on patient needs.