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Recommendation System for Determining the Best Banner Supplier Using Profile Matching and TOPSIS Methods

Authors :
Anik Vega Vitianingsih
Deden Firmansyah
Anastasia Lidya Maukar
Slamet Kacung
Hewa Majeed Zangana
Source :
Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi, Vol 8, Iss 2 (2024)
Publication Year :
2024
Publisher :
Universitas Nusantara PGRI Kediri, 2024.

Abstract

Background: Choosing a banner supplier is a significant challenge for digital printing companies due to the various advantages offered by each supplier, often leading to selections based on subjective aspects such as price and quality. Objective: This research aims to develop a system that determines the best banner supplier to minimize production inefficiencies and maximize profits by comparing two calculation methods, Profile Matching and TOPSIS. Methods: A quantitative study was conducted using transaction data from the last six months. The parameter criteria used in this system include price, quality, delivery, availability, and payment terms. The study compares the effectiveness of Profile Matching and TOPSIS methods in identifying the best supplier. Results: The study results show that the TOPSIS method is superior, yielding 100% accuracy, 84% recall, and a 92% F1-score, outperforming the Profile Matching method. This demonstrates that the correct method and algorithm effectively provide the best alternative recommendations. Conclusion: The results indicate that using the TOPSIS method leads to more accurate and objective decisions based on predetermined criteria. The findings suggest that further research should focus on refining these methods to enhance decision-making in supplier selection.

Details

Language :
English, Indonesian
ISSN :
2580409X and 25496824
Volume :
8
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi
Publication Type :
Academic Journal
Accession number :
edsdoj.f9ddcb526025427689097cd32d1c044f
Document Type :
article
Full Text :
https://doi.org/10.29407/intensif.v8i2.21635