Implementasi Metode Smart untuk Rekomendasi Pelanggan Memilih Motor Bekas Berbasis Web Pada Cv.Mulana Motor

Abstract

Selecting a used motorcycle is often a complex process, involving numerous criteria such as purchase price, completeness of documents, motorcycle type, year of manufacture, and tax status. At CV. Maulana Motor, the selection process is still manual, making it slow, subjective, and inefficient. This research aims to develop a web application based on a Decision Support System (DSS) using the Simple Multi-Attribute Rating Technique (SMART) method to systematically recommend used motorcycles.

This application utilizes alternative motorcycle data and assessment criteria, then applies the SMART method through weight normalization, utility value calculation, and final score determination to produce a ranking of the best motorcycles. The development process employed the Waterfall methodology, encompassing requirements analysis, database and interface design, development, black box testing, review, and implementation. Test results demonstrated that the application performed as required, replacing manual processes, increasing efficiency, and facilitating objective decision-making. The system enables fast and structured processing, calculation, and presentation of information. The PCX 160 ABS motorcycle was selected as the best alternative, demonstrating the system's ability to assist customers in selecting the right used motorcycle and supporting administrators in sustainable data management. This system is expected to become a reference model for digitalizing the selection of used motorbikes in other showrooms.