Flickr Photos Analysis for Management of Beach Tourism in Bantul Regency: Popularity and Tourism Attraction

Photos shared by social media users act as an approach in identifying tourist activity. Popular tourism attractions are judged based on the large number of photos or high photo density. Each beach in Bantul Regency has its own attraction that can be enjoyed and immortalized by tourists through photo...

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Main Author: Arief Wicaksono
Format: Article
Language:English
Published: Muhammadiyah University Press 2021-07-01
Series:Forum Geografi
Subjects:
Online Access:https://journals.ums.ac.id/index.php/fg/article/view/13007
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spelling doaj-6003ad444bd34e42bf12aa126ecb27f22021-08-08T08:20:04ZengMuhammadiyah University PressForum Geografi0852-06822460-39452021-07-0135110.23917/forgeo.v35i1.130076510Flickr Photos Analysis for Management of Beach Tourism in Bantul Regency: Popularity and Tourism AttractionArief Wicaksono0Universitas Gadjah MadaPhotos shared by social media users act as an approach in identifying tourist activity. Popular tourism attractions are judged based on the large number of photos or high photo density. Each beach in Bantul Regency has its own attraction that can be enjoyed and immortalized by tourists through photos. By analyzing the contents of Flickr photo, information on the types of beach tourism attractions that tourists are interested in can be obtained. This study examines the availability of coordinated Flickr photo data to assist in making tourism beach management policies. The analysis methods used include pattern analysis with average nearest neighbor, density analysis with kernel density estimation, image content analysis with tourist attraction variables, and overlay analysis to prepare recommendations for beach tourism management based on the popularity level of beach tourism attractions. The results of this study indicate that distribution pattern of Flickr photos are clustered on several beaches, such as Parangtritis, Baros, Depok, and Cemara Sewu, which are also beaches with high popularity. The type of beach tourism attraction in Bantul Regency is dominated by natural beauty, which is dominant in almost all beaches, except on Baros Beach. Each beach offers different tourism attractions with varying popularity levels for tourists. By using coordinated Flickr photo data and refers to the concept of tourism supply and demand, recommendations for the development of beach tourism attractions are compiled according to the theme and popularity level so it can target specific tourist market segments and compile integrated tour travel packages.https://journals.ums.ac.id/index.php/fg/article/view/13007popularitybeach attractionimage content analysisflickrbantul
collection DOAJ
language English
format Article
sources DOAJ
author Arief Wicaksono
spellingShingle Arief Wicaksono
Flickr Photos Analysis for Management of Beach Tourism in Bantul Regency: Popularity and Tourism Attraction
Forum Geografi
popularity
beach attraction
image content analysis
flickr
bantul
author_facet Arief Wicaksono
author_sort Arief Wicaksono
title Flickr Photos Analysis for Management of Beach Tourism in Bantul Regency: Popularity and Tourism Attraction
title_short Flickr Photos Analysis for Management of Beach Tourism in Bantul Regency: Popularity and Tourism Attraction
title_full Flickr Photos Analysis for Management of Beach Tourism in Bantul Regency: Popularity and Tourism Attraction
title_fullStr Flickr Photos Analysis for Management of Beach Tourism in Bantul Regency: Popularity and Tourism Attraction
title_full_unstemmed Flickr Photos Analysis for Management of Beach Tourism in Bantul Regency: Popularity and Tourism Attraction
title_sort flickr photos analysis for management of beach tourism in bantul regency: popularity and tourism attraction
publisher Muhammadiyah University Press
series Forum Geografi
issn 0852-0682
2460-3945
publishDate 2021-07-01
description Photos shared by social media users act as an approach in identifying tourist activity. Popular tourism attractions are judged based on the large number of photos or high photo density. Each beach in Bantul Regency has its own attraction that can be enjoyed and immortalized by tourists through photos. By analyzing the contents of Flickr photo, information on the types of beach tourism attractions that tourists are interested in can be obtained. This study examines the availability of coordinated Flickr photo data to assist in making tourism beach management policies. The analysis methods used include pattern analysis with average nearest neighbor, density analysis with kernel density estimation, image content analysis with tourist attraction variables, and overlay analysis to prepare recommendations for beach tourism management based on the popularity level of beach tourism attractions. The results of this study indicate that distribution pattern of Flickr photos are clustered on several beaches, such as Parangtritis, Baros, Depok, and Cemara Sewu, which are also beaches with high popularity. The type of beach tourism attraction in Bantul Regency is dominated by natural beauty, which is dominant in almost all beaches, except on Baros Beach. Each beach offers different tourism attractions with varying popularity levels for tourists. By using coordinated Flickr photo data and refers to the concept of tourism supply and demand, recommendations for the development of beach tourism attractions are compiled according to the theme and popularity level so it can target specific tourist market segments and compile integrated tour travel packages.
topic popularity
beach attraction
image content analysis
flickr
bantul
url https://journals.ums.ac.id/index.php/fg/article/view/13007
work_keys_str_mv AT ariefwicaksono flickrphotosanalysisformanagementofbeachtourisminbantulregencypopularityandtourismattraction
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