Analyzing the Factors Which Influence the Development of Mangrove Forest in Kulon Progo Using Binary Logistic Regression and Remote Sensing Method
- DOI
- 10.2991/assehr.k.201010.006How to use a DOI?
- Keywords
- Mangrove, Binary Logistic, Remote Sensing, Kulon Progo
- Abstract
The Province of Yogyakarta is one of the tourism destinations in Indonesia. In recent years, there are new many tourism sites in Yogyakarta. One of them is the Mangrove forest in Kulon Progo. The Mangrove forest is a popular tourist site among the locals in there but many outsiders of Yogyakarta that do not know about this site yet. That is because the access to that site is quite difficult. Also, we believe that there are many factors which delay the development that Mangrove site. In order to help the development of that area, we would like to know the real factor which impacts the development of the Mangrove site, especially from the tourism perspective. Therefore we analyze the factors which influence the happiness of the tourist using the binary logistic regression, because the happier the tourist, the site will be more popular and hopefully develop from the tourism perspective. The binary logistic regression’s result shows that the happiness of the tourist influenced by mangrove location, age, and gender. The mangrove location factor that influences tourist happiness is about the difficultness of access. As for that factor, we will use the remote sensing method to identify what really happened in the locations and give solutions to that problem.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Muhammad Hasan Sidiq Kurniawan AU - Akhmad Fauzy AU - Muhammad Muhajir PY - 2020 DA - 2020/10/11 TI - Analyzing the Factors Which Influence the Development of Mangrove Forest in Kulon Progo Using Binary Logistic Regression and Remote Sensing Method BT - Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019) PB - Atlantis Press SP - 30 EP - 35 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.201010.006 DO - 10.2991/assehr.k.201010.006 ID - Kurniawan2020 ER -