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Decision Support System for High School Entrance Selection

Authors

  • Reza Zubaedah Universitas Musamus, Indonesia
  • Hertanto Prasetyo Universitas Musamus, Indonesia

DOI:

10.47709/brilliance.v2i2.1566

Keywords:

Selection Student, SAW, Decision Support System

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Abstract

Currently, when going to high school, a selection will be made to select students based on zoning alone. Admissions using zoning are very detrimental to students who are outside the zoning but have better grades. Schools also want to have quality students however, the existence of government regulations makes it a trick if only zoning is used as a reference. The existence of a decision support system using the SAW method helps to make alternatives by having several criteria that are used as a benchmark when making a decision. In making this decision support system can display the results of student rankings based on SAW calculations and the development method using waterfalls and making this system web-based using PHP MySQL and HTML.This research produced a decision support system that can help make it easier for schools to determine the selection of new students based on the existing zoning system and produce rankings. The results of testing accuracy increased from 56% to 100%.

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References

Astriawan, F. A., & Elisabet, Y. A. (2017). Sistem Pendukung Keputusan Seleksi Penerimaan Calon Siswa Baru Pada Sma Muhamadiyah 1 Gisting Dengan Metode Saw. 5(1), 179–185.

Buono, M. L. C., Pandiangan, N., & Loppies, S. H. D. (2020). The Implementation of An Expert System in Diagnosing Skin Diseases Using the Dempster-Shafer Method. Journal of Physics: Conference Series, 1569(2). https://doi.org/10.1088/1742-6596/1569/2/022028

Eka Sahputra1) , Kusrini2), H. A. F. (n.d.). SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PROGRAM STUDI DI PERGURUAN TINGGI.

Hailitik, A. H., Djahi, B. S., Nabuasa, Y. Y., Komputer, J. I., & Cendana, U. N. (2017). Klasifikasi Jurusan Menggunakan Metode Naïve Bayes Pada. 5(2), 21–27.

Lutfiansyah, D. U., Syaifudin, Y. W., Harijanto, B., Informatika, P. S., Informasi, J. T., Malang, P. N., & Bayes, N. (n.d.). Spk pemilihan jurusan berdasarkan kuesioner minat bakat menggunakan metode naive bayes.

Pandiangan, N., Buono, M. L. C., & Loppies, S. H. D. (2020). Implementation of Decision Tree and Naïve Bayes Classification Method for Predicting Study Period. Journal of Physics: Conference Series, 1569(2). https://doi.org/10.1088/1742-6596/1569/2/022022

Rasyid, R. (2019). SISTEM PEMILIHAN PEMASOK PADA APOTEK AMANAGAPPA. MJTI, 01(02), 51–58.

Suryadi, A., & Harahap, E. (2018). Sistem Rekomendasi Penerimaan Mahasiswa Baru Menggunakan Naive Bayes Classifier Di Institut Pendidikan Indonesia. Joutica, 3(2), 171. https://doi.org/10.30736/jti.v3i2.231

Wijaya, S., Martha, D., & Amroni, A. (2017). Sistem Pendukung Keputusan Seleksi Peserta Didik Baru Menggunakan Metode Simple Additive Weighting. Jurnal Digit, 7(1), 1–13.

Zain, A. S., & Purniawati, R. (2020). Sistem Pendukung Keputusan Penerimaan Siswa Baru dengan Metode Simple Additive Weighting. Sains, Aplikasi, Komputasi Dan Teknologi Informasi, 2(1), 18. https://doi.org/10.30872/jsakti.v2i1.2668

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ARTICLE Published HISTORY

Submitted Date: 2022-06-11
Accepted Date: 2022-06-11
Published Date: 2022-06-11

How to Cite

Zubaedah, R., & Prasetyo, H. (2022). Decision Support System for High School Entrance Selection. Brilliance: Research of Artificial Intelligence, 2(2), 71-74. https://doi.org/10.47709/brilliance.v2i2.1566

Issue

Vol. 2 No. 2 (2022): Brilliance: Research of Artificial Intelligence, Article Research May 2022

Section

Articles

License

Copyright (c) 2022 Reza Zubaedah, Hertanto Prasetyo

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.