Please use this identifier to cite or link to this item:
https://repository.unej.ac.id/xmlui/handle/123456789/65369
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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Cahya, Antonius | - |
dc.contributor.advisor | Adiwijaya, Nelly Oktavia | - |
dc.contributor.author | Baroroh, Anifatul | - |
dc.date.accessioned | 2015-12-01T03:57:41Z | - |
dc.date.available | 2015-12-01T03:57:41Z | - |
dc.date.issued | 2015-12-01 | - |
dc.identifier.nim | 112410101016 | - |
dc.identifier.uri | http://repository.unej.ac.id/handle/123456789/65369 | - |
dc.description.abstract | Capital for developing a business is not major problems anymore. Currently the capital could be obtained from any loan provider. Credit unions Sharia BMT UGT Sidogiri is a cooperative that provides a six-credit services i.e. gadai emas syariah (GES), modal usaha barokah (MUB), multiguna tanpa agunan (MTA), kendaraan bermotor barokah (KBB), pembelian barang elektronik (PBE), and pembiayaan kafalah haji (PKH). Credit unions Sharia BMT UGT Sidogiri found difficult is in determining prospective creditors who are eligible to receive credit due to manual process. In this research, we developed a loan decision support system on Credit Unions Sharia BMT UGT Sidogiri using weighted product method. This system is implemented in a web form so that it can be accessed easily, whenever and wherever, and thus more effective. The system is built using a programming language Page Hypertext Pre-Processor (PHP) and framework Code Ignither (CI). In general the results of measurement of the level of difficulty and complexity of the work, this system belongs to the system simple and easy to use. Thus the user quickly overwhelm the system and no difficulties in operating them. | en_US |
dc.language.iso | id | en_US |
dc.subject | PINJAMAN | en_US |
dc.title | SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN PINJAMAN PADA KOPERASI SIMPAN PINJAM SYARIAH BMT UGT SIDOGIRI MENGGUNAKAN METODE WEIGHTED PRODUCT | en_US |
dc.type | Undergraduat Thesis | en_US |
Appears in Collections: | UT-Faculty of Computer Science |
Files in This Item:
File | Description | Size | Format | |
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112410101016Anifatul Baroroh fat.pdf | 3.6 MB | Adobe PDF | View/Open |
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