Konsistensi Ranking pada Sistem Rekomendasi Resep Masakan dengan Simple Additive Weighting

Ratih Kartika Dewi, Komang Candra Brata, Nabila Nabila

Abstract


Along with the development of internet technology, recipes can easily be obtained from various sources, such as websites, mobile applications, and social media. The variety of recipes that available in various media still have one disadvantage: it can not accommodate user preferences. In this kind of problem, the role of a Decision Support System (DSS) is needed by people who actively cook using recipes in daily cooking activities. DSS recommendations for recipes can be built by using Simple Additive Weighting (SAW) algorithm. The variables chosen as criteria for recipe recommendations are duration of cooking, level of complexity, and calories. The ranking consistency test aims to see if there is a ranking reversal (the first ranking is swapped with the latest ranking) when there is a change in the number of recipes (alternatives). The purpose of this research is to find out the reliability of the SAW algorithm in the issue of recipe recommendations. The ranking consistency test result shows consistency of 100% and there is no rank reversal (last recommendation becomes first recommendation) for this case.

Keywords


sistem pendukung keputusan; resep masakan; SAW; konsistensi ranking; rank reversal

Full Text:

PDF

References


P. Setyahadi, "Rancang Bangun Aplikasi Resep Masakan Berbasis Mobile Web Dengan Metode Case-Based Reasoning," Skripsi, Universitas Islam Negeri Sunan Kalijaga, Yogyakarta, Indonesia, 2014.

A. Salsabella, "Sistem Pendukung Keputusan Penentuan Resep Masakan Berdasarkan Ketersediaan Bahan Makanan Menggunakan Metode Simple Additive Weighting (SAW) Berbasis Web," Jurnal Sistem dan Teknologi Informasi (JUSTIN), Vol. 2, No. 3, hal. 110-117, 2014.

T.A. Santoso, “Aplikasi Pencarian Resep Masakan Berbasis Mobile Web Berdasarkan Ketersediaan Bahan dengan Metode Simple Additive Weighting.” Skripsi, Universitas Islam Indonesia, Yogyakarta, Indonesia, 2016.

Nabila, R.K. Dewi, K.C. Brata,”SPK Pemilihan Resep Masakan dan Fitur Berbasis Lokasi,” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer (JPTIIK), Vol. 2, No. 9, hal. 3081-3085, 2018.

E. Turban, Decision Support and Expert Systems: Management Support Systems, Upper Saddle River, USA: Prentice Hall PTR, 1993.

(2018) The Fatsecret website, [Online], https://www.fatsecret.co.id/, tanggal akses: 20 Mei 2018.

C.-L. Hwang, dan K. Yoon. Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey, Heidelberg, Germany: Springer Science & Business Media, 2012.

F.R.L. Junior, L. Osiro, dan L.C.R. Carpinetti, "A Comparison between Fuzzy AHP and Fuzzy TOPSIS Methods to Supplier Selection," Applied Soft Computing, Vol. 21, hal. 194-209, 2014.

V. Belton dan T. Gear, On a Short-coming of Saaty’s Method of Analytic Hierarchies, Omega, Vol. 11, No. 3, hal. 228–230, 1983.

T.L. Saaty, Making and Validating Complex Decisions with the AHP/ANP, J. Syst. Sci. Syst. Eng., Vol. 14, No. 1, hal. 1–36, 2005.

S. Zahir, Normalisation and Rank Reversals in the Additive Analytic Hierarchy Process: A New Analysis, Int. J. Oper. Res., Vol. 4, No. 4, hal. 446–467, 2009.




DOI: http://dx.doi.org/10.22146/jnteti.v8i3.518

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)

Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)

Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik Universitas Gadjah Mada
Jl. Grafika No 2. Kampus UGM Yogyakarta 55281
+62 274 552305
jnteti@ugm.ac.id