Hia, Oloheta (2024) SISTEM REKOMENDASI OBJEK WISATA DI PULAU NIAS DENGAN MENGGUNAKAN KOMBINASI ALGORITMA SAW DAN TOPSIS. Bachelor thesis, Universitas Nasional.
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Abstract
Nias Island is one of the most famous tourist destinations in North Sumatra. This island has only four regencies and one city in 2009, namely Nias Regency, South Nias Regency, Gunungsitoli City, North Nias Regency, and West Nias Regency. Nias Island is surrounded by the sea and other stunning natural beauty, and offers many prospective tourist attractions. Various tourist attractions can be found on Nias Island, such as beaches that are famous for diving, snorkeling, and surfing lovers, as well as traditional houses. However, to facilitate tourist attractions that suit the preferences of each tourist, an efficient system is needed. Therefore, this study aims to develop a website-based application that will provide information to recommend tourist attractions on Nias Island. The main objective is to provide convenience for local and foreign tourists in determining tourist attractions according to their preferences. The methods used are SAW and TOPSIS, which will be implemented in building a tourist attraction recommendation system on Nias Island. Through the use of the PHP programming language and MySQL database. Therefore, a decision support system (DSS) will be designed that can assist in selecting tourist attractions on Nias Island. In this study, several criteria used for the process of selecting tourist objects are distance of place, accommodation, places to eat, distance of health facilities, and beauty of the place. For the data used in this calculation there are 15 candidate tourist objects, with this recommendation system can help local and foreign tourists to visit Nias Island.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Subjects: | H Social Sciences > HF Commerce T Technology > T Technology (General) |
| Divisions: | Skripsi > Fakultas Teknologi Komunikasi dan Informatika > Program Studi Teknik Informatika |
| Depositing User: | Miss Rahma Rahmawati |
| Date Deposited: | 10 Sep 2024 02:49 |
| Last Modified: | 10 Sep 2024 02:54 |
| URI: | http://repository.unas.ac.id/id/eprint/11693 |
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