Credit decision support methodology for Micro, Small and Medium Enterprises (MSMEs) : Indonesian cases
Access Status
Open access
Authors
Ikasari, Novita
Date
2014Supervisor
Dr Fedja Hadzic
Dr Tom Cronje
Type
Thesis
Award
PhD
Metadata
Show full item recordSchool
School of Economics and Finance
Collection
Abstract
This research is aimed at constructing an objective and accurate credit risk assessment method for Micro, Small and Medium Enterprises in Indonesia. Credit data of three sample banks is structured using eXtensible Markup Language and Database Structure Model for analysis purposes. Selected data mining techniques are applied to perform credit risk classification based on quantitative and text-based qualitative information. This fills the gap in previous studies where text-based qualitative information was excluded from the models.
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