Implementation of SAW Method in Web-based Scholarship Acceptance Recommendation Application: Case Study on "PPTQ Nurul Qur'an"

Musfiroh, Diffa Ummi and Waluyo, Anita Fira (2024) Implementation of SAW Method in Web-based Scholarship Acceptance Recommendation Application: Case Study on "PPTQ Nurul Qur'an". Foundation of Computer Science Inc., https://www.ijcaonline.org/archives/volume186/number2/musfiroh-2024-ijca-923347.pdf.

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Official URL: https://www.ijcaonline.org/archives/volume186/numb...

Abstract

The rapid advancement of information technology has changed the lifestyle of some people in carrying out their activities. One of them is processing scholarship information systems. Scholarship is an award for someone as a form of effort to support them in pursuing further education. However, the determination of scholarship acceptance is currently still done manually from the selection to the determination of the selection of scholarship recipient students. With this manual implementation, of course, it takes a long time and the possibility of data loss/damage and calculation errors. In order to support boarding school administrators in selecting scholarship recipient students, a recommendation system has been developed. The purpose of this application system is to be designed as a benchmark for accepting prospective scholarship recipients. The Simple Additive Weighting (SAW) method is used in this scholarship recommendation system to evaluate prospective scholarship recipients. In developing the scholarship selection recommendation system, the PHP programming language is used. The application database development is done by utilizing MySQL as well as the PHPMyAdmin interface that runs locally on Localhost Keywords: Scholarship, MySQL, PHP, SPK, Simple Additive Weighting.

Item Type: Other
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Mrs. Anita Fira
Date Deposited: 22 Feb 2024 14:52
Last Modified: 09 Mar 2024 03:05
URI: http://eprints.uty.ac.id/id/eprint/14870

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