IJERT-EMS
IJERT-EMS

Implementation of K-Nearest Neighbor Method in Eligible Creditor
(Case Study: Aceh Bank )


Implementation of K-Nearest Neighbor Method in Eligible Creditor <br> (Case Study: Aceh Bank )
Authors : Dicky Nofriansyah, Muhammad Dahria, Rudi Gunawan, Hendra Jaya
Publication Date: 16-03-2017

Authors

Author(s):  Dicky Nofriansyah, Muhammad Dahria, Rudi Gunawan, Hendra Jaya

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 03 , March - 2017

e-ISSN:   2278-0181

Abstract

The system identifies the recipient eligibility investment credit at Bank BPD Aceh to the recipients still done manually on each process, which consists of a file for a process, selecting the files, interviews, observation for prospective Customers are still done manually. In order to overcome the existing problems, then made a classification system for identifying the Investment Credit with data mining using K-Nearest Neighbor method to identify objects or people that are similar to consider several criteria. Thus the results of the grouping which has been designed to assist the Aceh Bank in the identification process Investment Loan recipients based on criteria that have been determined so that the grouping and decision making can be more rapid, precise, and accurate and avoid mistakes.

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