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Afridho Rahman
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Implementation of a Decision Support System for Selection of Used Motorbikes using the Simple Additive Weighting Method Afridho Rahman
Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i3.77

Abstract

Motorized vehicles are one of the means of transportation that is widely used in society. In a traffic jam, the motor can provide good mobility. Motorcycles are one of the primary needs for the middle-class economic community. The economic limitations of some people to buy a new motorbike are experiencing problems. So the alternative way is to choose to buy a used motorbike. Not a few consumers who want to buy a used motorcycle at a slightly cheaper price but with a quality brand. On the grounds of a lack of funds or simply wanting to replace a used motorbike, buying a used motorbike can be an option to meet these needs. The SAW method is a method that is often used to make a decision using a weighted algorithm and requires matrix normalization which has alternative rating scales available. To overcome existing problems, it is necessary to implement a decision support system in selecting the best used motorbike in order to provide a structured assessment that can help visitors in choosing the best used motorbike using the Simple Additive Weighting (SAW) method. With the existence of a decision support system for selecting used motorbikes that applies the SAW method, it is hoped that this system can help visitors choose the best used motorbike, can fulfill information needs relating to selecting the best used motorbike, and can answer and assist admins and visitors in solve the problem of selecting the best used motorcycle.
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