Electronic Credit and Furniture Decision Support Systems Using the Weighted Product Method

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Published Jun 29, 2021
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Vol. 15 No. 1 (2021): Login : Jurnal Teknologi Komputer, Edition June 2021

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Helita Sari
Informatics Engineering Study Program, STMIK Pelita Nusantara, Medan, Indonesia.
R. Mahdalena Simanjorang
Informatics Engineering Study Program, STMIK Pelita Nusantara, Medan, Indonesia.

Abstract

To do Electronic Credit and furniture is quite difficult and less effective and efficient. Because the system used is still manual or not computerized, and the number of consumers who want to credit goods in Metro, it takes a few days or a long time to make a decision so that a system is needed, namely a Decision Support System using the Weighted Product method. The Weighted Product method is a method that uses multiplication to relate the attribute rating, where the rating of each attribute must first be ranked with the attribute's weight. The Weighted Product method uses multiplication as a liaison for attribute ratings, where the rating of each attribute must be ranked first with the weight in question. This research will produce an application or a furniture and electronic credit decision support system that can help make the credit granting process in the metro easier and more precise. The criteria used in this study are income, BPKB guarantee, KTP, family card (KK), home status, tutoring concerned and child dependents. Of the 5 examples of consumers who have been given in this study from A1, A2, A3, A4, to A5 then the highest ranking result of these 5 consumers is given to alternative A1 because the value obtained by A1 is higher than other alternatives. This system is designed using UML with the programming language PHP, CSS, Java script and HTML with the MySQL database.

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How to Cite
Sari, H., & Simanjorang, R. M. (2021). Electronic Credit and Furniture Decision Support Systems Using the Weighted Product Method. Login : Jurnal Teknologi Komputer, 15(1), 8-13. Retrieved from http://login.seaninstitute.org/index.php/Login/article/view/78

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