8 (1) January 2022 24-37 ISSN 2502-3357 (online) | ISSN 2503-0477 (print) Register: Jurnal Ilmiah Teknologi Sistem Informasi Applications of the fuzzy-AHP MOORA approach for vendor selection http://doi.org/10.26594/register.v8i1.2356 Contents lists available at www.journal.unipdu.ac.id Journal Page is available to www.journal.unipdu.ac.id/index.php/register Research article Fuzzy-AHP MOORA approach for vendor selection applications I’tishom Al Khoiry a,* , Rahmat Gernowo b , Bayu Surarso c a Department of Information Systems, Universitas Diponegoro, Semarang, Indonesia b Department of Physics, Universitas Diponegoro, Semarang, Indonesia c Department of Mathematics, Universitas Diponegoro, Semarang, Indonesia email: a,* ishomak@gmail.com, b gernowo@yahoo.com, c bsurarso@gmail.com * Correspondence A R T I C L E I N F O A B S T R A C T Article history: Received 17 March 2021 Revised 18 April 2021 Accepted 22 April 2021 Available online 13 June 2022 Vendor selection is a critical activity in order to support the achievement of company success and competitiveness. Significantly, the company has some specific standards in the selection. Therefore, an evaluation is needed to see which vendors match the company's criteria. The purpose of this study is to evaluate and select the proposed vendor in a web-based decision support system (DSS) by using the fuzzy-AHP MOORA approach. The fuzzy-AHP method is used to determine the importance level of the criteria, while the MOORA method is used for alternative ranking. The results showed that vendor 4 has the highest score than other alternatives with a value of 0.2536. Sensitivity analysis showed that the proposed DSS fuzzy-AHP MOORA concept was already solid and suitable for this problem, with a low rate of change. Keywords: Decision Support System Fuzzy AHP MCDM MOORA vendor selection Please cite this article in IEEE style as: I. Al Khoiry, R. Gernowo and B. Surarso, " Fuzzy-AHP MOORA approach for vendor selection applications," Register: Jurnal Ilmiah Teknologi Sistem Informasi, vol. 8, no. 1, pp. 24-37, 2022. Register with CC BY NC SA license. Copyright © 2022, the author(s) 1. Introduction The process of vendor selection is one of the critical company activities managed by the procurement department. Vendor selection has a significant effect on strategic and operational performance in an organization [1]. Choosing the right vendor can improve quality and flexibility to meet customer satisfaction [2]. The primary purpose of choosing a vendor is to reduce the purchase risk, maximize the overall value of the buyer, and develop the intimate and long-term relationship between the buyer and the seller. Therefore, purchasing managers should develop and use effective processes to find a qualified vendor to grant business qualifications. Thus, it is necessary to evaluate the selection to determine the right vendor that matches the company's criteria. Evaluation in the selection of vendor certainly requires relevant criteria as benchmarks in its assessment. In developing and selecting criteria, the criteria must reflect the company's supply chain strategy and the characteristics of the items to be supplied. This process means that assessing criteria like quality and services is a big part of a procurement manager's job, along with negotiating to find the best available pricing and savings for their company. Well-designed criteria can improve the performance and reduce the risk of the procurement system in supply chain management. Several decision-making methods have been widely used in the field of vendor or supplier selection. Multi-Criteria Decision Making (MCDM) is a method that has been popular in decision- making problems. MCDM is a mathematical technique for assisting in the decision-making process by evaluating and ranking multiple alternatives and conflicting criteria in complex situations [3]. MCDM has many methods, including SAW, ELECTRE, VIKOR, MAUT, PROMETHEE, SMART, WP, and TOPSIS. In the last few decades, the MCDM method has been integrated with some other methods. The