Decision Support System for SMEs Selection using MOORA Method for Corporate Vendor’s Requirement

Asrul Sani, Tri Hartati, Harsih Rianto and Andry Jf
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Asrul Sani: School of Management and Computer Science – Widuri, Jakarta Indonesia
Tri Hartati: Bina Sarana Informatika University, Jakarta Indonesia
Harsih Rianto: Bina Sarana Informatika University, Jakarta Indonesia
Andry Jf: Bunda Mulia University, Jakarta Indonesia

International Journal of Research and Scientific Innovation, 2020, vol. 7, issue 10, 137-141

Abstract: Decision Support Systems (DSS) are part of computer-based information systems which include knowledge-based systems used to support decision making in a system. DSS provide a semi-structured decision, where no one knows exactly how decisions should be made. This study applies the Multi-Objective Optimization On The Basic Of Ratio Analysis (MOORA) Method as a method to be applied in a decision support system. A mathematical approach that is used as a solution to solve the selection of Small Medium Enterprises (SMEs) for the needs of the company’s vendors. This study aims to determine how the MOORA system works through a mathematical approach to provide decisions on the selection of SMEs for the needs of vendors in the company. The research was conducted using a quantitative where each criterion has been determined in advance the value of its existence. Criteria data are determined based on the previous work process skills of the SMEs that will be made into vendors.

Date: 2020
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