Jananto, Febrian Nur (2024) SISTEM PENDUKUNG KEPUTUSAN PEREKRUTAN ANGGOTA BEM UNIVERSITAS PGRI MADIUN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DAN WEIGHTED PRODUCT (WP). S1 thesis, Universitas PGRI Madiun.
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Abstract
The Decision Support System for recruiting BEM members at Universitas PGRI Madiun can help speed up performance and be more efficient in selecting prospective BEM members. The method used in developing this DSS is Simple Additive Weighting (SAW) and Weighted Product (WP), which allows a comprehensive assessment of prospective members based on various criteria, such as GPA, Organizational Experience, Organizational Knowledge, Self-Motivation, Cooperation, Ethics, Communication Skills, and Written Test Scores. Data for this research was collected through interviews with the President of BEM. The system developed was then tested using prospective member data from the last recruitment period. The test results show that the SAW and WP methods are able to provide recommendations in selecting prospective members who meet the criteria. The conclusion of this research is that the application of the SAW and WP methods in the DSS can increase the efficiency and objectivity of the BEM member recruitment process. The SAW method has an accuracy rate of 73.53% and the WP method has an accuracy rate of 58.82%, so it can be concluded that the SAW method is superior and worthy of being used to determine the recruitment of BEM members.
Item Type: | Thesis/Skripsi/Tugas Akhir (S1) |
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Kata Kunci: | Decision Support System; Simple Additive Weighting; Weighted Product |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
Divisions: | Fakultas Teknik > Teknik Informatika |
Depositing User: | FEBRIAN NUR JANANTO |
Date Deposited: | 26 Aug 2024 05:30 |
Last Modified: | 26 Aug 2024 05:30 |
URI: | http://eprint.unipma.ac.id/id/eprint/1563 |
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