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Sistem Pendukung Keputusan Pemilihan Supplier Toserba Terbaik Menggunakan Metode Objective Weighting-TOPSIS (OWH-TOPSIS) Izka, Ade Adyatna; Sulistiani, Heni
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5889

Abstract

Convenience store suppliers are important partners in the retail supply chain, responsible for providing a wide range of daily necessities, from groceries to household items, directly to retailers or convenience store owners. The problem in the research on selecting the best convenience store supplier lies in the complexity of evaluating and balancing various criteria that affect supplier performance. Each supplier has different advantages and disadvantages in terms of product quality, price, delivery time, product availability, flexibility in ordering, and payment terms. The main challenge in this study is to determine the right weight for each criterion so that the selection decision can reflect the strategic needs of the convenience store objectively and accurately. The Objective Weighting-TOPSIS (OWH-TOPSIS) method is a modification of the TOPSIS method that combines an objective weighting approach to objectively determine the weight of the criteria. OWH-TOPSIS is an approach in a decision support system that combines objective weighting with the TOPSIS method to effectively assess and prioritize alternatives. The results of the supplier assessment ranking show that Supplier 3 and Supplier 7 are in the top position with very close preference scores, namely 0.9462 and 0.946 respectively, indicating that they are both the best choices based on the set criteria. Followed by Supplier 5 and Supplier 13 with identical scores of 0.9253, showing excellent performance but slightly below the top two suppliers. Supplier 1 is in fifth position with a score of 0.913, still in the very good category but slightly behind compared to the top four suppliers. This ranking provides a clear picture of each supplier's relative ranking in terms of meeting the evaluation criteria.
Penerapan Metode Pembobotan LOPCOW dan Grey Relational Analysis Dalam Penentuan Pemasok Toserba Terbaik Izka, Ade Adyatna; Sulistiani, Heni
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5537

Abstract

Selecting the best supplier is a crucial aspect in the supply chain that has a significant impact on operational efficiency and final product quality. The main problem in this study is that there is no model in the selection of the best supplier that is carried out, but the company always assesses the performance of suppliers to see the performance of suppliers periodically and ensure that the agreed standards are still met and re-evaluate if necessary. This study combines the advantages of LOPCOW in objectively weighting criteria based on logarithmic percentage changes in data, with the strength of GRA in handling data complexity and uncertainty in multi-criteria evaluation. This combination improves the accuracy and reliability of decisions taken, as it combines the advantages of objectivity in weighting with strong analytical capabilities in alternative evaluations. The result is a more holistic, objective, and data-driven decision-making process, which is especially beneficial in complex and uncertain situations. The results of the ranking of the best convenience store suppliers show that Supplier AB is the first best with a value of 0.1722, Supplier JB is the second best with a value of 0.12, and MA Supplier is the third best with a value of 0.0848. The results of this study are recommendations for convenience stores in assessing the performance of existing suppliers.