The selection of SNMPTN applicants using the TOPSIS and rank order centroid (ROC) methods


Muhammad Nurtanzis Sutoyo(1*); Andi Tenri Sumpala Mangkona(2);

(1) Universitas Sembilanbelas November Kolaka
(2) Universitas Sembilanbelas November Kolaka
(*) Corresponding Author

  

Abstract


One of the main functions of higher education is to develop personality abilities and shape the character of a dignified nation's civilization. One of the entry pathways for new student admissions at State Universities is the SNMPTN Path. While the number of participants who are accepted by looking at the quota on the SNMPTN line is only 20 percent of the capacity. Decision Support System as a solution that can assist policymakers in determining a decision. In this study, a decision support system was built using the TOPSIS method for selecting and ROC as a weighting for each criterion. Based on the results of the selection test for SNMPTN participants using the TOPSIS and ROC methods as weighting, it proves that it can display the cumulative ranking results of each alternative based on the criteria values owned.

Keywords


SNMPTN Applicants; TOPSIS Method; ROC Method

  
  

Full Text:

PDF
  

Article Metrics

Abstract view: 254 times
PDF view: 136 times 		     

Digital Object Identifier

doi  https://doi.org/10.33096/ilkom.v13i3.936.272-284 		  

Cite

How to cite item

References


A. Rahma, Sistem Pendukung Keputusan Seleksi Masuk Mahasiswa Menggunakan Metode SMARTER, Bandung, 2013.

LTMPT, Informasi Seleksi Nasioanl Masuk Perguruan Tinggi Negeri (SNMPTN) 2020. Jakarta, 2020.

E. Perdani, A. Suryanto, R. Devi, and S. Sukamta, Sistem Pendukung Keputusan Penerimaan Siswa Baru Dengan Metode Simple Additive Weighting (SAW), EDUKOM, vol. 1, no. 1, 2014.

Q. XU, Y. . ZHANG, J. ZHANG, and X. . LV, Improved TOPSIS Model and its Application in the Evaluation of NCAA Basketball Coaches, Mod. Appl. Sci. [online], vol. 9, no. 2, pp. 259268, 2015.

S. Kusumadewi and H. Wahyuningsih, Model Sistem Pendukung Keputusan Kelompok Untuk Penilaian Gangguan Depresi, Kecemasan Dan Stress Berdasarkan Dass-42 Group, J. Teknol. Inf. dan Ilmu Komput., vol. 7, no. 2, pp. 219228, 2020, doi: 10.25126/jtiik.202071052.

Laurentinus and S. Rinaldi, Implementasi Metode Analytical Hierarchy Proces S Dan Simple Additive Weighting Untuk Pemilihan Dosen Terbaik Studi Kasus Decision Support System To Choose the Best Lecturer Performance With Analytical Hierarchy Proces S and Simple, J. Teknol. Inf. dan Ilmu Komput., vol. 6, no. 6, pp. 655664, 2019, doi: 10.25126/jtiik.201961636.

V. Hardita, E. Utami, and E. Luthfi, Penerapan Simple Additive Weighting pada Pemilihan Canvasser Terbaik PT.Eratel Prima, J. Teknol. Inf. dan Ilmu Komput., vol. 6, no. 5, p. 567, 2019, doi: 10.25126/jtiik.2019651218.

A. C. Murti and A. A. Chamid, Bersih Dan Sehat Menggunakan Metode Topsis Decision Support System for Determining the Priority of Community Empowerment Through Clean, J. Teknol. Inf. dan Ilmu Komput., vol. 6, no. 5, 2019, doi: 10.25126/jtiik.201961049.

I. Muzakkir, Penerapan Metode Topsis Untuk Sistem Pendukung Keputusan Penentuan Keluarga Miskin Pada Desa Panca Karsa Ii, Ilk. J. Ilm., vol. 9, no. 3, pp. 274281, 2017, doi: 10.33096/ilkom.v9i3.156.274-281.

G. Wibisono, A. Amrulloh, and E. Ujianto, Penerapan Metode Topsis Dalam Penentuan Dosen Terbaik, Ilk. J. Ilm., vol. 11, no. 2, pp. 102109, 2019, doi: 10.33096/ilkom.v11i2.430.102-109.

M. Handayani, Sistem Pendukung Keputusan Penentuan Penerimaan Raskin Menggunakan Metode TOPSIS, J. Teknol. Inf., vol. 1, no. 1, p. 54, 2017, doi: 10.36294/jurti.v1i1.43.

R. Simanjorang, Sistem Pendukung Keputusan Pemilihan Dosen Terbaik dengan Menggunakan Metode TOPSIS, Media Inf. Anal. dan Sist., vol. 4, no. 1, pp. 1115, 2019.

S. F. Rodiyansyah, the Technique for Order of Preference By Similarity To Ideal Solution (TOPSIS) Untuk Penentuan Penerima Beasiswa, J-Ensitec, vol. 1, no. 2, 2015, doi: 10.31949/j-ensitec.v1i02.23.

Kusumadewi, Hartati, Hardjoko, and Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Yogyakarta: Graha Ilmu, 2006.

E. Turban and Aronson, Decision Support Systems and Intelligent Systems. Prentice Hall International: New Jersey, 2001.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Muhammad Nurtanzis Sutoyo

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