Analysis of Multi-attribute Utility Theory for College Ranking Decision Making

Authors

  • Adidtya Perdana Universitas Harapan Medan
  • Arief Budiman Universitas Harapan Medan

DOI:

10.33395/sinkron.v4i2.10232

Keywords:

Artificial Intelligence, Decision Support Systems, Multi Attribute Utility Theory (MAUT), Campus Ranking

Abstract

Ranking of a tertiary institution, both state and private universities, can be the basis of the tertiary institutions of interest to prospective new students. The better the ranking of the college, the more popular the campus. In this study the author discusses the case of campus ranking in the city of Medan where the results to be received are the best campus decision making with the method used is the MAUT (Multi Attribute Utility Theory) method. The aim is to see what results can be given by using the MAUT method in determining the best campus in the city of Medan which results in ranking the campus in Medan. Does it provide optimal results or not. But every case that is solved using the methods in artificial intelligence, in this case the MAUT method is a method of the Decision Support System, certainly provides optimal results even though the results given are not complete or complete. Therefore, the writer has a vision going forward, conducting research in this field, especially for the case of campus ranking. In this study the variables used in determining campus ranking are Institutional, Student Activities, Lecturer HR, Research and Community Service, and Innovation. These five variables in the future can be added or subtracted as needed. The results obtained are optimal ranking results but are still limited to the reference model for internal institutions.

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References

Badrul, M., Rusdiansyah, R., & Budihartanti, C. (2019). Application of Simple Additive Weighting Method for Determination of Toddler Nutrition Status. SinkOn, 4(1), 19–24.
<a href="https://scholar.google.com/scholar?cluster=16981382622313200340&hl=en&as_sdt=0,5">Google Scholar</a></p>


Fajirwan, D., Arhami, M., & Amalia, I. (2018). Sistem Pendukung Keputusan Penerimaan Bantuan Renovasi Rumah Dhuafa Menggunakan Metode Multi Attribute Utility Theory. Jurnal Infomedia, 3(2), 49–57.
<a href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Fajirwan%2C+D.%2C+Arhami%2C+M.%2C+%26+Amalia%2C+I.+%282018%29.+Sistem+Pendukung+Keputusan+Penerimaan+Bantuan+Renovasi+Rumah+Dhuafa+Menggunakan+Metode+Multi+Attribute+Utility+Theory.+Jurnal+Infomedia%2C+3%282%29%2C+49%E2%80%9357.&btnG=">Google Scholar</a></p>

Imandasari, T., & Windarto, A. P. (2017). Sistem Pendukung Keputusan dalam Merekomendasikan Unit Terbaik di PDAM Tirta Lihou Menggunakan Metode Promethee. Jurnal Teknologi Dan Sistem Komputer, 5(4), 159. https://doi.org/10.14710/jtsiskom.5.4.2017.159-165
<a href="https://scholar.google.com/scholar?cluster=12686945152787321&hl=en&as_sdt=0,5">Google Scholar</a></p>

Kemenristekdikti. (2018). Kemenristekdikti Umumkan Peringkat 100 Besar Perguruan Tinggi Indonesia Non Vokasi Tahun 2018. Retrieved February 12, 2019, from 17 Agustus 2018 website: https://ristekdikti.go.id/kabar/kemenristekdikti-umumkan-peringkat-100-besar-perguruan-tinggi-indonesia-non-vokasi-tahun-2018/

Latif, L. A., Jamil, M., & Abbas, S. H. (2018). SISTEM PENDUKUNG KEPUTUSAN TEORI DAN IMPLEMENTASI. Sleman: Deepublish.

Puspitasari, N. B., Rumita, R., & Pratama, G. Y. (2013). Pemilihan Strategi Bisnis dengan menggunakan QSPM (Quantitive Strategic Planning Matrix) dan Model MAUT (Multi Atribute Utility Theory) (Studi Kasus pada Sentra Gerabah Kasongan, Bantul, Yogyakarta). Universitas Diponegoro, VIII(3), 171–180.
<a href="https://scholar.google.com/scholar?cluster=5043481852451419682&hl=en&as_sdt=0,5">Google Scholar</a>

Sadewo, M. G., Windarto, A. P., & Hartama, D. (2017). PENERAPAN DATAMINING PADA POPULASI DAGING AYAM RAS PEDAGING DI INDONESIA BERDASARKAN PROVINSI MENGGUNAKAN K-MEANS CLUSTERING. InfoTekJar (Jurnal Nasional Informatika Dan Teknologi Jaringan), 2(1), 60–67. https://doi.org/10.30743/infotekjar.v2i1.164
<a href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Sadewo%2C+M.+G.%2C+Windarto%2C+A.+P.%2C+%26+Hartama%2C+D.+%282017%29.+PENERAPAN+DATAMINING+PADA+POPULASI+DAGING+AYAM+RAS+PEDAGING+DI+INDONESIA+BERDASARKAN+PROVINSI+MENGGUNAKAN+K-MEANS+CLUSTERING.+InfoTekJar+%28Jurnal+Nasional+Informatika+Dan+Teknologi+Jaringan%29%2C+2%281%29%2C+60%E2%80%9367.+https%3A%2F%2Fdoi.org%2F10.30743%2Finfotekjar.v2i1.164&btnG=">Google Scholar</a>

Satria, E., Atina, N., Simbolon, M. E., & Windarto, A. P. (2018). Spk : Algoritma Multi-Attribute Utility Theory ( Maut ) Padadestinasi Tujuan Wisata Lokal Di Kota Sidamanik. 3(2), 168–172.
<a href="https://scholar.google.com/scholar?cluster=8589996769595404842&hl=en&as_sdt=0,5">Google Scholar</a>

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How to Cite

Perdana, A., & Budiman, A. (2020). Analysis of Multi-attribute Utility Theory for College Ranking Decision Making. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 4(2), 19-26. https://doi.org/10.33395/sinkron.v4i2.10232

Issue

Vol. 4 No. 2 (2020): SinkrOn Volume 4 Number 2, April 2020

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