PRAYOGA, RENO ADI and Yunita, Yunita and Efendi, Rusdi (2019) HYBRID FUZZY DAN DEMPSTER-SHAFER UNTUK SISTEM PAKAR PENILAIAN KREDIT KONSUMTIF. Undergraduate thesis, Sriwijaya University.
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Abstract
Sistem pakar selalu bertemu dengan ketidakpastian. Karena itu kombinasi algoritma untuk mengatasi ketidakpastian dalam sistem pakar digunakan. Kombinasi metode Fuzzy dan Dempster-Shafer dapat digunakan dalam pengembangan sistem pakar untuk mengatasi ketidakpastian. Fuzzy digunakan untuk mengelompokkan fungsi keanggotaan masukan, dan Dempster-Shafer digunakan untuk mengkombinasi fakta yang didapatkan dari proses fuzzifikasi. Kombinasi Fuzzy dan Dempster-Shafer digunakan untuk mengatasi ketidakpastian dalam proses penilaian kredit konsumtif. Penilaian kredit merupakan fase penting untuk menentukan keputusan pengajuan kredit diterima atau ditolak. Keberhasilan perangkat lunak didapatkan dari akurasi sistem dengan membandingkan hasil penilaian sistem terhadap hasil penilaian pakar. Dalam uji sistem, akurasi yang didapatkan adalah 86,5% dari 200 dataset.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Sistem Pakar, Penilaian Kredit, Fuzzy, Dempster-Shafer, Ketidakpastian, Fakta |
Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. Q Science > Q Science (General) > Q350-390 Information theory Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages |
Divisions: | 09-Faculty of Computer Science > 55201-Informatics (S1) |
Depositing User: | Users 3621 not found. |
Date Deposited: | 09 Dec 2019 08:55 |
Last Modified: | 09 Dec 2019 08:55 |
URI: | http://repository.unsri.ac.id/id/eprint/20866 |
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