Abstract
Abstract The housing loan application system, which is usually managed by banks, is currently very much needed by many people, especially for customers who are already working and want to own a house. One of the efforts is to create an Expert System that can facilitate internal parties in controlling the provision of home loans to customers so that bad credit does not occur and customers do not wait too long for approval of a home loan application. Expert System is one part of Artificial Intelligence that is able to adopt a human mindset by solving problems like an expert. The method applied is Forward Chaining for KPR internal control. The Forward Chaining method is used by creating rules through a collection of facts and data as requirements for KPR then compiled into a decision tree, namely conclusions based on the rules. This process results in several decisions whether or not a customer is eligible to apply for a home loan, if accepted by the customer, it will be adjusted based on the level of the solution according to the customer's requirements. These results are implemented into an Expert System so that the Bank will easily control the provision of credit to customers and can anticipate bad credit.
Cite
CITATION STYLE
Voutama, A., & Rizal, A. (2023). [Retraction] Penerapan Forward Chaining Pada Sistem Pakar Pengendalian Internal Bank Pemberian Kredit Pemilikan Rumah. ILKOM Jurnal Ilmiah, 15(1), 201–214. https://doi.org/10.33096/ilkom.v15i1.839.201-214
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