Published: 2023-12-30

Decision Support System for Selecting Tofu Dregs Suppliers Using the Analytical Hierarchy Process (AHP) Method

DOI: 10.35870/ijsecs.v3i3.1935

Dudi Parulian, Muhammad Fazrie, Ghina Alima

Abstract

The process of selecting suppliers can be simplified with the aid of a system that offers recommendations for optimal supplier choices. This research aims to develop a decision support system application to assist CV. TJIGOWEK in objectively selecting tofu dregs suppliers while enhancing effectiveness and efficiency in time management. The research methodology employed to facilitate supplier selection is the Analytical Hierarchy Process (AHP). The five fundamental criteria utilized as parameters include quality, quantity, pricing, service, and payment flexibility. The AHP method is employed to determine the weight of each criterion, ultimately generating the optimal alternative ranking. The findings of this study can serve as a valuable reference for making supplier selection decisions aligned with the company's predefined criteria.

Keywords

Decision Support System ; Supplier Selection ; Analytical Hierarchy Process (AHP)

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page to understand its reach and credibility.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.

Issue Cover

Downloads

Article Metrics

If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).

Share:
Article Information

This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 3 No. 3 (2023)

  • Section: Articles

  • Published: December 30, 2023

AI Research Hub

This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.

Semantic Scholar Scite Dimensions Connected Papers

Similar Articles

You may also start an advanced similarity search for this article.