Decision Support System Decision Support System To Determine Athletic Extracurricular Based On Student Talent Using Profile Matching Method
Decision Support System To Determine Athletic Extracurricular Based On Student Talent Using Profile Matching Method
Abstract
Athletic achievements at SMP Negeri 17 Cirebon City must be maintained by continuing to explore and look for students who have potential and talent in athletic from year to year through extracurricular activities. However regarding this matter, it is not easy for the school to determine which athletic branch is in accordance with the talents of the students. The process of determining student athletic is carried out through the results of each student's test. The test results tend to be less objective because there are no other supporting factors. Therefore, a system is needed that can be used as a search and determination of student athletic talent. Decision Support Systems can be a solution to make it easier to determine student athletic. With this system, it is hoped that it can provide information on the results of determining athletic extracurricular activities objectively. This study applies the Profile Matching method to determine student athletic extracurriculars, and the system is made in the PHP programming language and SQL database using MySQL. At the system design stage, it is described using UML diagrams. The final result of this study obtained the results of determining the student's athletic extracurricular branch with a percentage of 100% calculation success.
Downloads
References
[2] I. N. Farida and R. Firliana, "Implementasi Metode Profile Matching Untuk Evaluasi Potensi Akademik Penjurusan Siswa MAN 2 Kota Kediri," Jurnal Infotel, vol. 8, no. 2, pp. 156-163, November 2016.
[3] Y. E. Nopiyanto and S. Raibowo, DASAR-DASAR ATLETIK, Bengkulu: Elmarkazi, 2020.
[4] Y. E. Nopiyanto, S. Raibowo and Drs. Arwin, PEMBELAJARAN ATLETIK, Bengkulu: Elmarkazi, 2020.
[5] Azwar and F. N. Masi, "PENENTUAN MINAT
SISWA MENGGUNAKAN METODE PROFILE MATCHING," Celebes Computer Science Journal, vol. 2, no. 2, pp. 16-26, Oktober 2020