Sistem Pendukung Keputusan Rekomendasi Kosmetik Rania Beauty dengan Metode SAW dan Customer Satisfaction Index
DOI:
https://doi.org/10.55606/jutiti.v6i2.7734Keywords:
Black Box Test, Model Waterfall, Recommendation System, Satisfaction Index, SAW MethodAbstract
The cosmetic product recommendation process at Rania Beauty Kudus still relies on the experience of Beauty Advisors, resulting in inconsistent recommendations and lack of integrated customer data management and satisfaction measurement. This study aims to develop a web-based cosmetic recommendation decision support system using the Simple Additive Weighting (SAW) and Customer Satisfaction Index (CSI) methods. The system was developed using the PHP programming language, MySQL database, and the Waterfall development model, encompassing requirements analysis, design, implementation, testing, and maintenance. The system design utilized Use Case Diagrams and Class Diagrams, while testing was conducted using the Black Box method. The results showed that the SAW method was capable of generating product recommendations based on five criteria: product quality, ingredient safety, skin suitability, price, and popularity. Measurements using the CSI method resulted in a customer satisfaction score of 80.20%, categorized as satisfied, while Black Box testing demonstrated that all system functions performed with a 100% success rate. The developed system helps Beauty Advisors provide more consistent product recommendations and provides customer satisfaction information for evaluation and service improvement at Rania Beauty Kudus.
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