Marsono, Adam Hendra (2022) Sistem Pendukung Keputusan Pemilihan Menu Kopi Terbaik Menggunakan Metode Topsis Berbasis Website (Studi Kasus: 40 % Coffee Bekasi). Tugas Akhir thesis, University of Technology Yogyakarta.
Text
ABSTRAK-5170311140-ADAM HENDRA MARSONO.pdf Download (151kB) |
Abstract
DECISION SUPPORT SYSTEM FOR THE BEST COFFEE MENU SELECTION USING THE WEBSITE-BASED TOPSIS METHOD (Case Study: 40% Coffee Bekasi) Adam Hendra Marsono, Wahyu Sri Utami, M,Sc. Information Systems Study Program, Faculty of Science & Technology University of Technology Yogyakarta Jl. Ringroad Utara Jombor Sleman Yogyakarta E-mail :adamhendra79@gmail.com, wahyu.utami@uty.ac.id, ABSTRACT Coffee menu selection at 40% Coffee is a factor that needs to be considered to help recommend the best coffee menu to customers for customer satisfaction. In this case, the role of consumers is needed in choosing the best coffee menu. The selection of the best coffee menu must be adjusted to the taste of each individual consumer, just as consumers like bitter, sour, sweet, or containing coffee or not containing coffee. For this reason, a decision support system is needed in determining the best coffee menu using the website-based Topsis method. Where the results of this decision support system are in the form of ranking the best coffee menu according to consumers. By making a decision support system for selecting the best coffee menu, it is hoped that it will make it easier to provide the best coffee menu recommendations to consumers at 40% Coffee. Keywords: Topsis, Decision Support System, Best Coffee Menu
Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
---|---|
Subjects: | T Technology > T Technology (General) |
Divisions: | Fakultas Sains Dan Teknologi > S1 Sistem Informasi |
Depositing User: | Kaprodi S1 Sistem Informasi UTY |
Date Deposited: | 11 Apr 2022 03:17 |
Last Modified: | 11 Apr 2022 03:17 |
URI: | http://eprints.uty.ac.id/id/eprint/9691 |
Actions (login required)
View Item |