Penerapan Simple Additive Weighting Dalam Pemilihan Pembelian Mobil Bekas Berpenumpang Menggunakan Tableau Visualization

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Authors: Denny Riandhita Arief Permana, Muhamad Fahrul Rozi, Lucky Heriyanto, Ahlan Ismono, Windy Seirina Putri
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Abstract

Used passenger cars are an attractive alternative for consumers because they offer more economical prices than new cars, while still maintaining competitive quality. However, the large selection of used cars with various criteria often makes it difficult for prospective buyers to make the right choice. This research was conducted to develop a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to help prospective buyers choose a used car based on several criteria, namely price, engine capacity, mileage (kilometers), and seating capacity. The data used is used car sales data. T In addition, data visualization through Tableau is also used to provide a clearer and more easily understood information representation for Sentosa Motor. The analysis results show that the SAW method is able to produce objective and accurate recommendations, thus helping prospective Sentosa Motor buyers determine the used car that best suits their needs and preferences

Fields of Study & Subjects

Decision Support System Applications Multi-Criteria Decision Making Data Mining and Machine Learning Applications

Publication details

Journal / source
Jurnal Ilmiah Sains dan Teknologi
Volume
10
Issue
1
Pages
132–139
Publication date
26 February 2026
Language
EN