Metode Topsis Sistem Pendukung Keputusan Penentuan Siswa/Siswi Berprestasi di SMP XX
DOI:
https://doi.org/10.55606/jupumi.v3i3.3713Keywords:
Decision Support Systems, Achieving Students, TOPSIS Method, JavaAbstract
The TOPSIS method in the Decision Support System for Determining Outstanding Students at SMP XX explains that this method is used to select alternatives (students) who have the closest distance to the positive ideal solution and the furthest from the negative ideal solution. This method considers criteria such as academic grades, activeness in extracurricular activities, and disciplinary attitudes. By implementing TOPSIS, it is hoped that objective and accurate decisions can be made in determining outstanding students. The TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method was chosen because of its reliability in overcoming complexity and uncertainty in multi-criteria decision making. Eka got a preference value of 0.31144246, Elsa got a preference value of 0.62095919, Frits got a preference value of 0.80287008, and Ninik got a preference value of 0.38000306. With the results of these preference values, it can be determined that Frits gets rank 1, Elsa gets rank 2, Ninik gets rank 3, and Eka gets rank 4.
References
Adhi, P. (2020). Buku pintar pemrograman web. Mediakita.
Dona, Y., K., & Utami, U. (2018). Sistem pendukung keputusan karyawan terbaik menggunakan metode weight product (WP) (Studi kasus: Universitas Pasir Pengaraian). Riau Journal of Computer Science, 4(1), 129–143.
Fathansyah. (2020). Basis data. Informatika Bandung.
Herman, F. I., Abdillah, G., & Renaldi, F. (2016). Sistem pendukung keputusan penentuan karyawan terbaik menggunakan metode TOPSIS. Seminar Nasional Teknologi Informasi dan Komunikasi.
Kadir, A. (2018). Pemrograman Android dan database. PT Elex Media Komputindo.
Khairul, J. K. (2020). Pemrograman web. Informatika Bandung.
Lubis, A. (2020). Basis data dasar untuk mahasiswa ilmu komputer. Graha Ilmu.
Marshall, B. R., & Steinbart, P. J. (2019). Sistem informasi akuntansi (13th ed.). Pearson Educational Limited.
Mawaddah, U., & Fauzi, M. (2018). Sistem pendukung keputusan untuk menentukan dosis obat pada anak menggunakan metode forward chaining (Studi kasus di Klinik Dokter Umum Karangayam-Srengat). Jurnal Antivirus, 12.
Murdianto, H., Khairina, D. M., & Hatta, H. R. (2016). Sistem pendukung keputusan karyawan terbaik per triwulan PT. Cahaya Fajar Kaltim PLTU Embalut Tanjung Batu menggunakan metode simple addictive weighting. Prosiding Seminar Ilmu Komputer dan Teknologi Informasi, 1(1), 24–29.
Nofriansyah, D., & Sarjon, D. (2017). Multi criteria decision making (MCDM) pada sistem pendukung keputusan. Deepublish.
Nurmayanti, D., Haryanti, T., Septiana, L., & Nurdiani, S. (2022). Penerapan metode profile matching untuk sistem penunjang keputusan pemilihan karyawan terbaik. SATIN (Sains dan Teknologi Informasi), 8(1), 118–128.
Priyadi, Y. (2020). Kolaborasi SQL dan ERD dalam implementasi database. Andi.
Simangunsong, P. B. N., & Sinaga, S. B. (2019). Sistem pendukung keputusan pemilihan dosen berprestasi menggunakan metode ELECTRE. Prosiding Seminar Nasional Teknologi Informasi Komputer dan Sains, 1(1), 173–178.
Susilowati, E. (2018). Implementasi metode simple additive weighting untuk perkembangan anak pada pendidikan anak usia dini (PAUD) TQ. Bunnaya di Kelurahan Penggilingan Jakarta Timur. Jurnal IKRA-ITH Informatika, 2(2), 33–41.
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