IMPLEMENTASI METODE K-NEAREST NEIGHBOUR DALAM PENENTUAN KUNJUNGAN WISATA ALAM DI KOTA KUPANG

Authors

  • Yulia Siokain Program Studi Teknik Informatika, STIKOM Uyelindo Kupang
  • Petrus Katemba Program Studi Teknik Informatika, STIKOM Uyelindo Kupang

Keywords:

DSS (Decision Support System), KNN (K-Nearest Neighbor), Kupang City, Tourism, Website

Abstract

Present the need to obtain information quickly and easily has become a basic need for the world community. Various operating systems for mobile phones have sprung up, one of which is quite widely known is the website. The development of a website-based decision support system to determine tourist attractions is still very limited, especially in Indonesia and especially in the city of Kupang. In this case the website is made to determine the tourist attractions that can be used as a tool for tourists to be able to determine tourist attractions effectively and easily. This website uses a decision support system for the K-Nearest Neighbor method. The purpose of this website is to make it easier for tourists to determine tourist attractions and places and directions. In addition, information about the facilities contained in these attractions and general information in tourism. The results of the calculation are predictions of tourist attractions visited with an accuracy of 83.50 percent so that with this website can help tourists determine the tourist attractions that they want to visit.

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Published

2021-10-25

How to Cite

Siokain, Y. ., & Katemba, P. . (2021). IMPLEMENTASI METODE K-NEAREST NEIGHBOUR DALAM PENENTUAN KUNJUNGAN WISATA ALAM DI KOTA KUPANG. Seminar Nasional & Konferensi Ilmiah Sistem Informasi, Informatika & Komunikasi, 1145–1155. Retrieved from https://publikasi.uyelindo.ac.id/index.php/semmau/article/view/227