Muhammad Nur Fauzi
STMIK Surya Intan

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SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PEMBIAYAAN ULANG PADA PT.FIFGROUP CABANG KOTABUMI MENGGUNAKAN METODE TECHNIQUE FOR OTHERS REFRENCES BY SIMILLARITY TO IDEAL SOLUTION (TOPSIS) Gustina Gustina; Muhammad Nur Fauzi
JURNAL STMIK SURYA INTAN Vol. 10 No. 2 (2023): Jurnal Ilmiah Informatika & Komputer Surya Intan (JIIKSI)
Publisher : STMIK Surya Intan

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Abstract

The increasingly fierce competition in the business world makes companies have to be smart in looking at the opportunities and needs of the community, so the company issues a Refinancing program for consumers who want to guarantee their vehicles and payments for these vehicles are made in installments. So far, customers who will apply for Refinancing at PT. FIFGROUP Kotabumi must submit the requirements for a photocopy of e-KTP, photocopy of KK, photocopy of income, photocopy of bank statement and photocopy of electricity account. In determining the provision of Refinancing, it is still prioritizing the analysis of employees who are tasked with surveying the condition of consumers who will apply for Refinancing at FIFGROUP Kotabumi, so that in determining credit recipients it is sometimes not objective so that bad loans often occur which hinder the circulation of money at FIFGROUP Kotabumi.Decision Support System (DSS) is one of the company's solutions that helpmake decisions about consumers who are eligible or not eligible for Refinancing. To design a decision support system, a calculation method is needed that is used to solve problems with many criteria. One of the calculation methods used is the Technique For Others References By Simillarity To Ideal Solution (TOPSIS) method. The basic concept of the TOPSIS method is based on the concept that the best alternative not only has the shortest distance from the positive ideal solution but also has the farthest distance from the negative ideal solution, thus the TOPSIS method is very suitable for calculating the determination of prospective Refinancing recipients. The results of this built decision support system can produce more objective decisions. Resulted in 6 accepted and 4 rejected customers which can be used as a recommendation for determination to PT. FIFGROUP Kotabumi Branch.