Decision Support System In Sous Chef De Partie Selection Using Simple Method Additive Weighting (SAW) (Case Study: Restaurant Goela Batoe)

Authors

  • Iwan Setia Budi STMIK Budi Darma
  • Muhammad Syahrizal STMIK Budi Darma

DOI:

https://doi.org/10.30865/ijics.v1i2.1349

Abstract

The SAW method is also known as the weighted addition method. The basic concept of the SAW method is to find the weighted sum of the performance ratings on each alternative of all attributes. The SAW method requires the decision matrix normalization process (X) to a scale that can compare with all available alternative ratings.

References

D. Nofriansyah, Konsep Data Mining Vs Sistem Pendukung Keputusan. 2015.

T.-P. Turban, E., Aronson, J., & Liang, Decision Support Systems And Inteligence System. US: Prentice-Hall, 2005.

G.-H. Tzeng and J.-J. Huang, Multiple Attribute Decision Making Method And Applications. CRC Press, 2011.

S. Kusumadewi, S. Hartati, A. Harjoko, and Retantyo Wardoyo, “Fuzzy Multi Attribute Decision Making (FUZZY MADM),†Ed. Pertama Cetakan Pertama. Graha Ilmu. Yogyakarta., 2006.

Khairul;, M. Simaremare, A. Putera, and U. Siahaan, “Decision Support System in Selecting The Appropriate Laptop Using Simple Additive Weighting,†Int. J. Recent TRENDS Eng. Res., vol. 2, no. 12, pp. 215–222, 2016.

T. widodo Nuri Guntur Perdana, “Sistem Pendukung Keputusan Pemberian Beasiswa Kepada Peserta Didik Baru Menggunakan Metode TOPSIS,†in Semantik, 2013, vol. 2013, no. November, pp. 1–8.

M. Elistri, J. Wahyudi, and R. Supardi, “Penerapan Metode Saw Dalam Sistem Pendukung Keputusan Pemilihan Jurusan Pada Sekolah Menengah Atas Negeri 8 Seluma,†J. Media Infotama Penerapan Metod. SAW… ISSN, vol. 10, no. 2, pp. 1858–2680, 2014.

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Published

2019-08-07

How to Cite

Budi, I. S., & Syahrizal, M. (2019). Decision Support System In Sous Chef De Partie Selection Using Simple Method Additive Weighting (SAW) (Case Study: Restaurant Goela Batoe). The IJICS (International Journal of Informatics and Computer Science), 1(2). https://doi.org/10.30865/ijics.v1i2.1349