Penerapan Multiple Criteria Decision Making untuk Pemilihan Dosen Prestasi

Authors

  • Tri Widayanti STMIK Pontianak

DOI:

https://doi.org/10.33633/tc.v17i1.1591

Keywords:

Dosen Berprestasi, Multiple Criteria Decision Making, AHP, TOPSIS

Abstract

Dengan adanya penyelenggaraan pemilihan dosen berprestasi di tingkat nasional, maka diharapkan setiap perguruan tinggi terdorong untuk memiliki sistem penghargaan yang terprogram bagi dosen yang memiliki prestasi tinggi dalam pelaksanaan tridarma perguruan tinggi. Dalam pemilihan dosen berprestasi tersebut sering muncul subyektifitas para pengambil keputusan.Tujuan dari penelitian ini adalah dengan penunjang keputusan, pengambilan keputusan akan lebih objektif dalam memilih dosen berprestasi. Penelitian Multiple Criteria Decision Making dilakukan dengan menggunakan 2 metode yaitu Analytical Hierarchy Process (AHP) dan Technique for Order by Similarity to Ideal Solution (TOPSIS). AHP digunakan untuk menentukan bobot kepentingan dari setiap kriteria dan sub kriteria penilaian dosen berprestasi, kemudian TOPSIS digunakan untuk memilih alternatif dosen berprestasi yang memerlukan pertimbangan. Hasil penelitian  menunjukkan bahwa AHP dan TOPSIS dapat digunakan sebagai pendukung pembuat keputusan yang multi kriteria dan memerlukan banyak pertimbangan dalam pemilihan dosen berprestasi di perguruan tinggi. Metode AHP dan TOPSIS dapat membedakan dengan jelas  berdasarkan nilai preferensi yang dihasilkan sehingga memberikan keputusan yang objektif.

References

Risbang Ristekdikti, 2012, Undang-Undang Republik Indonesia Nomor 12 Tahun 2012, risbang.ristekdikti.go.id/regulasi/uu-12-2012.pdf, diakses tgl 5 September 2017

Kelembagaan.ristekdikti Nomor : 54/SP/HM/BKKP/IV/2017, 2017, 100 Besar Perguruan Tinggi Non Politeknik dan 25 Besar Perguruan Tinggi Politeknik di Indonesia Tahun 2017, http://www.dikti.go.id/100-besar-perguruan-tinggi-non-politeknik-dan-25-besar perguruan tinggi-politeknik-di-indonesia-tahun-2017/, diakses tgl 5 September 2017.

Kemenristekdiktik, 2017, Pedoman Pemilihan Dosen Berprestasi Kategori Sains Teknologi dan Sosial Humaniora tahun Anggaran 2017, sumberdaya.ristekdikti.go.id/wp-content/uploads/2016/02/Dosen-Brepestasi.pdf, diakses tgl 3 September 2017.

Tavana, M., & Hatami-Marbini, A. (2011). A group AHP-TOPSIS framework for human spaceflight mission planning at NASA. Expert Systems with Applications, 38(11), 13588-13603.

Chen, J. K., Chang, C. S., & Le Huyen, N. T. (2013, December). Multiple criteria model for evaluation and selection of outsourcing service countries: A case study in the East and Southeast Asia. In Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on (pp. 887-891). IEEE.DOI: 10.1109/IEEM.2013.6962539

Karim, R., Karmaker, C. L., 2016, Machine Selection by AHP and TOPSIS Methods. American Journal of Industrial Engineering, Vol 4 No 1 Hal 7-13.

Kahriman, A., Öztokatlı, M., & Daş, G. S. (2015, June). Selection of a communication satellite manufacturer using MCDM methods.In Recent Advances in Space Technologies (RAST), 2015 7th International Conference on (pp. 347-351).IEEE. DOI: 10.1109/RAST.2015.7208368

Kusumadewi, S., Hartati, S., Harjoko, A., & Wardoyo, R. Fuzzy Multi-Atribute DecisionMaking (1st Edition ed.). Yogyakarta: Graha Ilmu, 2006

Venkatesh, V. G., Dubey, R., Joy, P., Thomas, M., Vijeesh, V., & Moosa, A. (2015). Supplier selection in blood bags manufacturing industry using TOPSIS model. International Journal of Operational Research, 24(4), 461-488.

Hasan, H. (2015). Sistem Pendukung Keputusan Pemilihan Paket Umroh (Studi Kasus: PT. Amanah Iman). Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I).

Saaty, Thomas L., 2000, Fundamentals of Decision Making and Priority Theory with The Analytic Hierarchy Process (Analytic Hierarchy Process Series, Vol. 6), First Edition, RWS Publications.

Downloads

Published

2017-10-26

Issue

Vol. 17 No. 1 (2018): Februari 2018

Section

Articles

License

Copyright (c) 2017 Tri Widayanti

Creative Commons License

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

 

License Terms

All articles published in Techno.COM Journal are licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). This means:

1. Attribution

Readers and users are free to:

  • Share – Copy and redistribute the material in any medium or format.

  • Adapt – Remix, transform, and build upon the material.

As long as proper credit is given to the original work by citing the author(s) and the journal.

2. Non-Commercial Use

  • The material cannot be used for commercial purposes.

  • Commercial use includes selling the content, using it in commercial advertising, or integrating it into products/services for profit.

3. Rights of Authors

  • Authors retain copyright and grant Techno.COM Journal the right to publish the article.

  • Authors can distribute their work (e.g., in institutional repositories or personal websites) with proper acknowledgment of the journal.

4. No Additional Restrictions

  • The journal cannot apply legal terms or technological measures that restrict others from using the material in ways allowed by the license.

5. Disclaimer

  • The journal is not responsible for how the published content is used by third parties.

  • The opinions expressed in the articles are solely those of the authors.

For more details, visit the Creative Commons License Page:
? https://creativecommons.org/licenses/by-nc/4.0/

 

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.