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Penggunaan Metode Saw Dalam Mendukung Pengambilan Keputusan Penentuan Pemberian Pinjaman (Studi Kasus : Koperasi Hening Rahayu) Indrayanti, Ni Made Ayu Sonya; Suarnatha, I Putu Dody; Putra, I Gede Jana Adi
Jurnal SUTASOMA (Science Teknologi Sosial Humaniora) Vol 2 No 1 (2023): Desember 2023
Publisher : Universitas Tabanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58878/sutasoma.v2i1.244

Abstract

This research aims to implement the SAW (Simple Additive Weighting) method in supporting decision making for granting money loans to Savings and Loans Cooperatives. Hening Rahayu Savings and Loans Cooperative in Tabanan, Bali is the subject of this research. In this context, cooperatives face challenges in selecting customers who are worthy of loan services. The SAW method was chosen because of its ease of implementation and its ability to consider various relevant criteria. This method has advantages in terms of usability, error, interpretability, and computational efficiency. This research will involve collecting data on the profile of potential borrowers, loan eligibility, credit risk, and repayment capacity. This data will be analyzed using the SAW method to produce a final score for each prospective borrower. This score will be used as a basis for making decisions about granting loans. By using the SAW method, it is hoped that the Hening Rahayu Cooperative can speed up and simplify the decision-making process regarding granting loans. It is hoped that the results of this research can contribute to the development of technology in the savings and loan cooperative sector. Further research could involve developing other methods to support decision making or making the SAW method a system that can support decision making in different savings and loan cooperative contexts.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PELANGGAN TERBAIK DI CV. BALI MEDIA Putra, I Gede Jana Adi; Suyasa, I Putu Buda
Jurnal Ilmiah Sains Sosial, Kewirausahaan dan Kebudayaan Vol. 1 No. 1 (2023): JIS SIWIRABUDA Maret 2023
Publisher : Universitas Tabanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58878/jissiwirabuda.v1i1.185

Abstract

Decision Support Systems are interactive information systems that provide information, modeling and data manipulation. This system is used to assist decision making in semi-structured situations and unstructured situations. As a result of the company's annual target which is still difficult to achieve, it is also feared that consumers will switch to other companies that may have similar products at lower prices. Therefore, to increase consumer buying energy for the products being sold. The award given to the best customer can be in the form of a reseller price. Such things will make it difficult for customers to divert their eyes to other companies that both sell the same product. For the calculation method itself, it uses the SAW method as a decision support for selecting the best customer whose decision-making technique has a calculation of weighting criteria that is not too complex, so that it is easy for writers and readers to learn. From the results of the research, an application for driving decisions was produced in the hope of producing the best customer decisions on CV. BaliMedia. by determining the Max (Highest Data) and Min (Lowest Data) values from each of the data categories above and determining the sub-normalization that will be used as a reference for normalized data.