Boarding House Decision Support System with Simple Additive Weighting

Abstract

A Decision Support System (DSS) for boarding house selection tailored explicitly for first responders is essential due to the unique needs and challenges these individuals face in their demanding and high-stakes professions. Given the numerous alternatives and extensive availability of boarding houses, deciding on the most suitable one based on personal preferences is a complex and time-consuming task. This study proposes Simple Additive Weighting (SAW) to develop a decision support system to address this problem. The proposed approach aims to assist users in deciding on the best boarding houses based on weighted criteria preferences. A case study of Ciputra Hospital CitraGarden City, boarding house selection, is explored and discussed as proof of concept and viability. The system was tested using the white-box method and evaluated on 50 hospital employees with the End User Computing Satisfaction (EUCS). The EUCS results indicated high satisfaction levels across content, accuracy, format, ease of use, and timeliness (average 89.78%). This study demonstrates the potential of a SAW-based personalized Boarding House DSS which is also applicable for other domains than first responders.