Cafe Menu Selection Recommendations using the Simple Additive Weighting (SAW) Method
- Sri Uszdevita Syardillah Pohan Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia
-
Joko Sutopo
*
Universitas Teknologi Yogyakarta, Yogyakarta,
Indonesia
(*) Corresponding Author
Abstract
In today's modern era, cafes serve a variety of food and beverage menus to their customers. However, this high diversity often leads to problems in selecting menus that suit customer preferences. The main problem faced is the difficulty for customers in choosing the menu that best suits their personal tastes and preferences, given the large number and variety of menus offered by the cafe. The purpose of this research is to find a solution to the problem of selecting a cafe menu using the Simple Additive Weighting (SAW) method. The SAW method is applied to analyze cafe menu data and provide the most suitable menu recommendations based on individual preferences. There are 6 criteria applied in this study to match customer preferences, namely price, portion size, level of popularity, quality of ingredients, compatibility with taste, and aesthetic aspects. It is hoped that this research can provide better guidance for cafe customers in choosing a menu that suits their tastes, as well as help cafe owners in increasing customer satisfaction and sales. The results of calculations using the SAW method that has been carried out get the results of 5 menus that become recommendations because they get the top rank, first Alternative A1 menu Oatmeal Protein Shake has the highest rank with a score of 0.86, second alternative A7 menu Pepperoni Pizza with a score of 0.847, third alternative A4 menu Ramen Noodle with a score of 0.813. fourth alternative A1 menu Alfredo Spaghetti with a score of 0.766 and the fifth Alternative A8 menu Seafood Fried Rice with a score of 0.738.
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References
A. B. Anggraini dan Saino, “Pengaruh Harga, Physical Evidence, Dan Lokasi Terhadap Keputusan Pembelian Mie Gacoan Surabaya,” J. Pendidik. Tata Niaga, vol. 10, no. 1, hal. 1591–1599, 2022, doi: 10.26740/jptn.v10n1.p1591-1599.
L. A. Pasaribu dan L. Saragih, “Analisis Kelayakan Bisnis Cafe Pada Khalizta Coffee & Resto Kota Pematangsiantar,” Manaj. J. Ekon. USI, vol. 2, no. 2, hal. 148–158, 2020, doi: 10.36985/manajemen.v2i2.363.
W. Kristian dan F. Indrawan, “Studi Kelayakan Bisnis dalam Rangka Pendirian XX Cafe,” J. Akunt. Maranatha, vol. 11, no. 2, hal. 379–400, 2019, doi: 10.28932/jam.v11i2.1932.
Erlangga, Yolandari, T. Thamrin, dan A. K. Puspa, “Analisis Penerapan Metode Simple Additive Weighting (SAW) Pemilihan Tanaman Hias,” Explor. Sist. Inf. dan Telemat., vol. 12, no. 1, hal. 56–71, 2021, doi: 10.36448/jsit.v12i1.2010.
F. A. Sianturi dan M. Sitorus, “Kombinasi Metode Simple Additive Weighting (Saw) Dengan Algoritma Nearest Neighbor Untuk Rekruitmen Karyawan),” J. Mantik Penusa, vol. 3, no. 2, hal. 38–45, 2019.
Liesnaningsih, R. Taufiq, R. Destriana, dan A. P. Suyitno, “Sistem Pendukung Keputusan Penerima Beasiswa Berbasis WEB Menggunakan Metode Simple Additive Weighting (SAW) pada Pondok Pesantren Daarul Ahsan,” J. Inform. Univ. Pamulang, vol. 5, no. 1, hal. 54–60, 2020, doi: 10.32493/informatika.v5i1.4664.
S. Corrente dan M. Tasiou, “A robust TOPSIS method for decision making problems with hierarchical and non-monotonic criteria,” Expert Syst. Appl., vol. 214, hal. 119045, Mar 2023, doi: 10.1016/j.eswa.2022.119045.
I. G. T. Isa, F. Elfaladonna, dan I. Ariyanti, “Buku Ajar Sistem Pendukung Keputusan,” PT. Nasya Expanding Management, 2022. https://www.google.co.id/books/edition/Buku_Ajar_Sistem_Pendukung_Keputusan/aCJsEAAAQBAJ?hl=id&gbpv=1&dq=kelebihan+Simple+Additive+Weighting+(SAW)&pg=PA109&printsec=frontcover (diakses 27 Oktober 2023).
Salmon dan B. Harpad, “Komparasi Metode Simple Additive Weighting (Saw) Dan Analytical Hierarcy Process (Ahp) Untuk Pemilihan Staf Laboratorium Komputer Stmik Widya Cipta Dharma Samarinda,” J. Penelit. Komun. Dan Opini Publik, vol. 22, no. 1, hal. 31–39, 2018, doi: 10.33299/jpkop.22.1.1322.
M. H. K. Saputra dan L. V. Aprilian, “Belajar cepat metode SAW,” Kreatif Industri Nusantara, 2020. https://books.google.co.id/books?id=SXvtDwAAQBAJ&printsec=frontcover&hl=id&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false (diakses 28 Oktober 2023).
I. Riyansuni dan J. Devitra, “Analisis Dan Perancangan Sistem Pendukung Keputusan Penerima Bantuan Pangan Non Tunai (BPNT) Dengan Simple Additive Weighting (SAW) Pada Dinas Sosial Kota Jambi,” J. Manaj. Sist. Inf., vol. 5, no. 1, hal. 151–163, 2020, [Daring]. Tersedia pada: http://ejournal.stikom-db.ac.id/index.php/manajemensisteminformasi/article/view/828
M. A. Siadari, Poningsih, M. R. Lubis, L. Parlina, dan M. Safii, “Penerapan Metode SMART Dalam Pemilihan Cafe Paling Diminati,” Semin. Nas. Sains dan Teknol. Inf., vol. 3, no. 1, hal. 631–635, 2021, [Daring]. Tersedia pada: http://seminar-id.com/prosiding/index.php/sensasi/article/view/689%0Ahttps://seminar-id.com/prosiding/index.php/sensasi/article/download/689/653
A. N. Falahin, L. Isyriyah, dan F. E. Purwiantono, “Sistem Pendukung Keputusan Pemilihan Karyawan Berprestasi Hugos Cafe Malang Dengan Metode TOPSIS,” J. Teknol. Inf., vol. 10, no. 2, hal. 79–90, 2019.
A. Ibrahim dan R. A. Surya, “The Implementation of Simple Additive Weighting (SAW) Method in Decision Support System for the Best School Selection in Jambi,” J. Phys. Conf. Ser., vol. 1338, no. 1, hal. 1–7, 2019, doi: 10.1088/1742-6596/1338/1/012054.
S. Wulandari, “Sistem Pendukung Keputusan Menentukan Menu Makanan Sehat Menggunakan Metode Simple Additive Weighting (SAW),” J. Nas. Teknol. Komput., vol. 1, no. 1, hal. 37–44, 2021.
H. Syahputra, D. Guswandi, dan N. Yolanda, “Pemilihan Makanan Terbaik Bagi Penderita Hipertensi Menggunakan Metode Topsis,” J. Pus. Akses Kaji. Teknol. Artif. Intell., vol. 3, no. 1, hal. 8–17, 2023, doi: 10.55382/jurnalpustakaai.v3i1.536.
A. Ichsan, M. Najib, dan F. Ulum, “Sistem Informasi Geografis Toko Distro Berdasarkan Rating Kota Bandar Lampung Berbasis Web,” J. Teknol. dan Sist. Inf., vol. 1, no. 2, hal. 71–79, 2020, doi: 10.33365/jtsi.v1i2.207.
I. Agustina dan F. Isnaini, “Sistem Perhitungan Dan Pelaporan Pajak Penghasilan Pasal 21 Pada Universitas Xyz,” J. Ilm. Infrastruktur Teknol. Inf., vol. 1, no. 2, hal. 24–29, 2020, doi: 10.33365/jiiti.v1i2.559.
I. Wijayanto, “Komparasi Metode FIFO Dan Moving Average Pada Sistem Informasi Akuntansi Persediaan Barang Dalam Menentukan Harga Pokok Penjualan (Studi Kasus Toko Satrio Seputih Agung),” J. Teknol. dan Sist. Inf., vol. 3, no. 2, hal. 55–62, 2022, [Daring]. Tersedia pada: http://jim.teknokrat.ac.id/index.php/JTSI
D. Jollyta, Yunarto, Ridwan, dan Johan, “Comparison of Analytical Hierarchy Process and Simple Additive Weightingon the Selection of Outstanding Employees,” Am. J. Eng. Res., vol. 7, no. 9, hal. 36–45, 2018.
T. Panggabean, M. Mesran, dan Y. F. Manalu, “Penerapan Metode Simple Additive Weighting (SAW) dalam Pemberian Reward Bagi Pegawai Honorer Menggunakan Pembobotan Rank Order Centroid,” J. Media Inform. Budidarma, vol. 5, no. 4, hal. 1667–1673, 2021, doi: 10.30865/mib.v5i4.3146.
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