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RANCANG BANGUN SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMBERIAN KREDIT USAHA RAKYAT(KUR) DENGAN METODE PROMETHE

Pratama, Mohammad Filanu Andi (2023) RANCANG BANGUN SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMBERIAN KREDIT USAHA RAKYAT(KUR) DENGAN METODE PROMETHE. Skripsi (S1) thesis, Universitas Muhammadiyah Ponorogo.

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Surat Persetujuan Unggah Karya Ilmiah_Mohammad Andi Filanu Pratama.pdf
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Abstract

People's Business Credit (KUR) is a type of credit that aims to help potential small businesses to develop. Currently, there is a phenomenon of increasing interest among MSME business actors in applying for KUR, making it difficult for BANKs to determine which customers are truly eligible for KUR. Several studies on the application of computer-based Decision Support Systems (DSS) have been carried out to help determine eligible customers, but have not obtained satisfactory results. Based on a literature search, SPK has been used to determine KUR, but there have been no studies or research using the PROMETHE method in SPK KUR. This study aims to apply the PROMETHE method in the SPK KUR. This research uses six (6) criteria in determining customer eligibility, namely (1) Ownership of Population Documents, (2) Ownership of Business Legality Documents, (3) Ownership of Business Licensing Documents, (4) Length of Business, (5) Business Productivity, (6 )Guarantee/collateral. The results of this research are the SPK KUR application using the Promethe method and ranking customers' eligibility to obtain KUR based on these six criteria. This research contributes in two ways, first scientifically by providing scientific contributions in the application of SPK to determine the eligibility of KUR customers and second practically by providing recommendations for ranking customer eligibility.
Keywords: Decision Support System, People's Business Credit, Promethe.

Informasi Item

Item Type Thesis (Skripsi (S1))
Uncontrolled Keywords Sistem Pendukung Keputusan, Kredit Usaha Rakyat, Promethe
Subjects T Technology > T Technology (General)
Divisions Faculty of Engineering > Department of Informatic Engineering
Date Deposited 13 Sep 2023 06:15
Last Modified 13 Sep 2023 06:15
URI https://eprints.umpo.ac.id/id/eprint/12522

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