Executive Information System for Loan Processing and Approval Using Two-Way Verification Method
Lance Jay T. Montalban1, Ramil G. Lumauag2
1Lance Jay T. Montalban, Information Technology Department, Iloilo Science and Technology University – Miagao Campus, Miagao, Iloilo, Philippines.
2Ramil G. Lumauag, Information Technology Department, Iloilo Science and Technology University – Miagao Campus, Miagao, Iloilo, Philippines.
Manuscript received on 03 June 2019 | Revised Manuscript received on 07 June 2019 | Manuscript published on 30 June 2019 | PP: 1734-1738 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6790068819 /19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study aimed to develop an Executive Information System for Loan Processing and Approval Using Two-way Verification Method. A loan processing system was developed to access loan information through web and mobile application with SMS notification. The system is capable to determine borrower’s credibility, and a two-way verification mobile access code for security and authenticity was employed. The Agile Methodology for software development was used in the development of the system. The experimental and comparative evaluation was also used for testing the parameters of loan transaction and loan approval from manual to automated. The system was tested for accuracy, precision and recall using F-Measures and the ISO 9126 for its functionality, reliability, usability, efficiency, maintainability and portability. The findings of the study revealed that the Executive Support System for Loan Processing and Approval Using the Two-way Verification Method was accurate based on the result of the F-Measure and very effective based on the result of the ISO 9126 evaluation.
Keywords: Decision Support System, Executive Information System, Loan Processing System, Short Message Service (SMS).
Scope of the Article: Information Retrieval