Web-Based Decision Support System for Rental House Selection using Simple Additive Weighting based on User Preferences in South Cikarang

Abstract

The increasing number of rental houses in South Cikarang makes it difficult for prospective tenants to compare alternatives according to different preferences. This study aims to develop a web-based Decision Support System (DSS) using Simple Additive Weighting (SAW) for rental-house selection and to evaluate its usability. The system was developed using the Prototype method through requirements identification, quick design, prototype development, user evaluation, refinement, implementation, and testing. Four criteria were used: security, facilities, price, and distance, with weights of 20%, 25%, 30%, and 25%, respectively. Fifty rental-house alternatives were processed and normalized according to cost and benefit attributes using SAW to generate preference scores and rankings. Functional capabilities were validated using Black Box Testing, while usability was evaluated through the System Usability Scale (SUS) with 30 respondents. Kontrakan Griya Komando 2 (CS30) obtained the highest preference value of 0.8867. The resulting ranking depends on the selected criteria and the weights derived from respondents' preferences. Black Box Testing showed that the tested functions operated according to the expected results. The SUS evaluation produced an average score of 76.83 among the 30 respondents. The study contributes an integrated approach combining user-preference-based weighting, SAW ranking, and usability evaluation in a web-based DSS for rental-house selection in South Cikarang. The system is intended as a decision-support tool rather than a substitute for the user's final decision.