AKDAMANA, SABA SABIT (2021) IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING UNTUK REKOMENDASI PEMILIHAN OBJEK WISATA DI KABUPATEN KEBUMEN. Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
SABA SABIT AKDAMANA Department of Informatics, Faculty of Science & Technology University of Technology Yogyakarta North Ringroad St., Jombor Sleman Yogyakarta E-mail: sabasabit7@gmail.com 2. ABSTRACT Kebumen Regency has various types of tourist attractions that are interesting to visit. Kebumen Regency also has great tourism potential, especially with its beaches and hills with beautiful views. The issue triggers tourists to look for attractive tourist attractions according to their needs. However, with the amount of information available, tourists still have to choose their tourist spots. Along with the development of tourism, the internet is taking part in being a media and means of information for tourists to find and determine tourist destinations. Kebumen Regency has various types of tourist attractions that are interesting to visit. However, with the amount of information available, tourists still have to choose their tourist spots. Therefore, an application is built that can be a tool for tourists in determining tourist destinations by utilizing a decision support system. This study uses four criteria which include distance, facilities, total costs, and natural beauty. The method used is Simple Additive Weighting (SAW). The SAW method is used to determine the alternative preference value. This research shows that an application is produced that can be a tool for tourists in determining their tourist destinations. Keywords: Decision Support System, SAW, tourism
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 07 Sep 2021 03:14 |
| Last Modified: | 07 Sep 2021 03:14 |
| URI: | http://eprints.uty.ac.id/id/eprint/7956 |
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