PENERAPAN DATA MINING DENGAN ALGORITMA CLASSIFICATION BASED ON ASSOCIATION (CBA) UNTUK KLASIFIKASI RISIKO PEMBERIAN KREDIT (STUDI KASUS : PT. PUPUK SRIWIJAYA PALEMBANG)

FAUZIYYAH, FIRZA and Tania, Ken Ditha and Meiriza, Allsela (2018) PENERAPAN DATA MINING DENGAN ALGORITMA CLASSIFICATION BASED ON ASSOCIATION (CBA) UNTUK KLASIFIKASI RISIKO PEMBERIAN KREDIT (STUDI KASUS : PT. PUPUK SRIWIJAYA PALEMBANG). Undergraduate thesis, Sriwijaya University.

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Abstract

In order to prevent loan defaults on micro enterprises which caused by internal factors, it needs a system that able to predict credit risk of loan applicants more accurately and objectively. One of the ways to do so is by utilizing data mining technique using Classification Based on Association (CBA) algorithm that able to build a model to predict credit risks by classifying loan applicants data into “good” or “delinquent” class. The data mining process was done by using Cross-Industry Standard Process for Data Mining (CRISP-DM) method. The accuracy level of the resulting model using the CBA algorithm with R language then was tested. A model with the highest accuracy level was then implemented into a web based application system.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Data mining, classification based on association, CBA, risiko pemberian kredit, klasifikasi, CRISP-DM.
Subjects:	T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.62 Decision support systems Cf. HD30.213 Industrial management
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Mr Halim Sobri
Date Deposited:	16 Oct 2019 02:57
Last Modified:	16 Oct 2019 02:57
URI:	http://repository.unsri.ac.id/id/eprint/11812

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