Implementation of the Fuzzy Topsis Algorithm in the Scholarship Recommendation System
Implementasi Algoritma Fuzzy Topsis Pada Sistem Rekomendasi Beasiswa
Abstract
The scholarships given to the University of Muhammadiyah Sidoarjo include outstanding scholarships (PPA) and underprivileged scholarships (BBP). During the selection made by the university which has 9 faculties throughout the university by manual method. Although there are requirements and files that must be submitted during registration as a potential recipient, this still supports the objectivity of the selection being carried out. For this reason, it is necessary to have an innovation digitally in the selection process for this scholarship recipient. Selection system that was built practically, quickly, and accurately. For this reason, it is necessary to support the support of a client-server application and also the Fuzzy TOPSIS algorithm to determine the results of calculations and rankings based on the calculation value of each student who has been registered as a scholarship recipient. In this study, an application that is a client server has been made, where students can enter prospective scholarship recipients online. The application made has implemented the TOPSIS Fuzzy Algorithm for sorting or ranking. So that this selection work is considered faster, easier and has objective results based on the system. From the applications that have been made, 1,000 students have been tested with the composition of quotas on PPA scholarships as many as 370 and 875 for BBP scholarships. Of the 1000 data on registered students, 239 met the top ranking requirements which were declared PPA scholarship recipients. As well as the top 793 students as BBP scholarship recipients, a letter of recommendation will be printed automatically based on the information the student has received as a scholarship candidate. This trial application recommendation is for ± 3 minutes. With an average value of 77.60% satisfactory..
References
[2] D. L. Olson, “Comparison of weights in TOPSIS models,†Math. Comput. Model., vol. 40, no. 7–8, pp. 721–727, 2004.
[3] Ristekdikti.go.id, “Pedoman Umum Beasiswa dan Bantuan Biaya Pendidikan Peningkatan Prestasi Akademik,†Ditjen Kemenristekdikti, p. 1, 2015.
[4] A. Azizi, D. O. Aikhuele, and F. S. Souleman, “A Fuzzy TOPSIS Model to Rank Automotive Suppliers,†Procedia Manuf., vol. 2, no. February, pp. 159–164, 2015.
[5] K. Palczewski and W. Sałabun, “The fuzzy TOPSIS applications in the last decade,†Procedia Comput. Sci., vol. 159, pp. 2294–2303, 2019.
[6] A. Mansoor, D. Streitferdt, and F.-F. Füßl, “Alternatives Selection Using GORE Based on Fuzzy Numbers and TOPSIS,†J. Softw. Eng. Appl., vol. 08, no. 07, pp. 346–359, 2015.
[7] M. Azmi, “Sistem Pendukung Keputusan Untuk Memilih Usaha Waralaba Makanan Menggunakan Metode Topsis,†Elektron J. Ilm., vol. 5, no. 2, pp. 61–68, 2013.
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