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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Information Technology
Faruk Ulum
Universitas Teknokrat Indonesia, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management

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Combination of Response to Criteria Weighting Method and Multi-Attribute Utility Theory in the Decision Support System for the Best Supplier Selection Faruk Ulum; Junhai Wang; Dyah Ayu Megawaty; Ari Sulistiyawati; Riska Aryanti; Sumanto Sumanto; Setiawansyah Setiawansyah
J-INTECH ( Journal of Information and Technology) Vol 13 No 01 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i01.1810

Abstract

Choosing the right supplier is a strategic factor in supporting operational efficiency and a company's competitive advantage. This process requires a decision support system that is able to assess various alternatives objectively and in a structured manner. This study aims to develop a decision support system in the selection of the best supplier by combining the Response to Criteria Weighting (RECA) and Multi-Attribute Utility Theory (MAUT) methods. The RECA method is used to objectively determine the weight of each criterion based on the variation of data between alternatives, so as to reduce subjectivity in the weighting process. Meanwhile, the MAUT method functions to calculate the total utility value of each supplier based on the normalization value and weight that has been obtained. The results of the RECA method show the objective weight of each criterion, which is then used in the MAUT calculation process. The results of the analysis, obtained in the best supplier selection based on the total score of each candidate, it can be seen that PT Global Niaga Mandiri ranks first with the highest score of 0.6512, this shows that this company is the best choice in the supplier selection process. In second place is UD Anugrah Bersama with a score of 0.399, followed by PT Indo Logistik Prima in third place with a score of 0.3451. The combination of the RECA and MAUT methods has been proven to be able to produce accurate, rational, and accountable decisions. This system provides a measurable approach in filtering supplier alternatives efficiently and is relevant to be applied to various other multi-criteria decision-making contexts.
Pemilihan Platform E-Commerce Menggunakan Ahp Pada Apotek Djapuri Farma2 Made Irawan; Erliyan Redy Susanto; Ajeng Savitri Puspaningrum; N Neneng; Faruk Ulum
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 1 (2025): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i1.847

Abstract

This study explores the selection of the optimal e-commerce platform for Djapuri Farma2 Pharmacy using the Analytic Hierarchy Process (AHP) method. In this context, the five main criteria considered are Cost, Security, Completeness of Features, Ease of Use, and Community Support. The AHP method is used to carry out pairwise comparisons between available alternative e-commerce platforms. After going through an evaluation process, WooCommerce was chosen as the platform that best suited the pharmacy's needs. The novelty of this research lies in the application of the AHP method in the specific context of the pharmaceutical industry, which has not been widely discussed in previous literature. By focusing on criteria relevant to pharmacies, this study provides a new contribution to the e-commerce platform selection literature with an approach that can be directly applied in the healthcare industry. Opportunities for future research development include expanding evaluation criteria, such as including sustainability factors, as well as combining AHP with other methods such as TOPSIS or ANP to obtain more comprehensive and robust results. This study is expected to become an important reference for other pharmacies who want to carry out digital transformation through choosing the right e-commerce platform.
Co-Authors Ajeng Savitri Puspaningrum Ari Sulistiyawati Dyah Ayu Megawaty Erliyan Redy Susanto Junhai Wang Made Irawan N Neneng Riska Aryanti Setiawansyah Setiawansyah Sumanto Sumanto