Melola Discovery

← Melola Discovery

Akses terbuka Jurnal SINTA 1

Flickr Photos Analysis for Beach Tourism Management in Bantul Regency, Indonesia: Popularity and Tourist Attractions

Forum Geografi · Vol. 35 No. 1 (2021) · hlm. 85–102

DOI
10.23917/forgeo.v35i1.13007
ISSN
2460-3945, 0852-0682
Terbit
2021-07-10
Penerbit
Universitas Muhammadiyah Surakarta
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-nd/4.0

Abstrak

Photos shared by social media users act as an approach in identifying tourist activity. Popular tourist attractions are judged based on the large number of photos or high photo density. In Bantul Regency, Indonesia, beaches have diverse attractions which tourists can enjoy and immortalize through photos. Analyzing the contents of photos on Flickr provides information on the type(s) of beaches or coastal attractions preferred by tourists. This study examined the availability of geotagged Flickr photos to assist in making relevant beach tourism management policies. It employed pattern analysis with the average nearest neighbor, density analysis with kernel density estimation, image content analysis with tourist attraction as the variable, and overlay analysis to formulate recommendations for beach tourism management based on the popularity level of the attractions. The results indicate that each of the local beaches offers different attractions with varying popularity levels and that natural beauty is the main feature attracting tourists to visit all beaches, except Baros. Based on the pattern analysis, the Flickr photos are clustered on several beaches of high popularity, such as Parangtritis, Baros, Depok, and Cemara Sewu. By using geotagged Flickr photo data and refers to the concept of tourism supply and demand, recommendations for developing the attractive features on these beaches have been compiled according to their respective themes and popularity levels to target specific tourist market segments and design integrated tour or travel packages.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 131 tautan kepenulisan bersama · 16 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Gadjah Mada
  • IPB University
  • University of Indonesia
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Muh Aris MarfaiUniversitas Gadjah Mada3
Akbar Cahyadhi Pratama PutraAfiliasi tidak diketahui2
Tantri Utami WidhaningtyasUniversitas Gadjah Mada2
Prima WidayaniUniversitas Gadjah Mada2
Muhammad DimyatiUniversity of Indonesia2
Ratih Fitria PutriUniversitas Gadjah Mada2
Muhammad Adnan Shafry UntoroUniversitas Gadjah Mada2
Raden Ramadhani Yudha AdiwijayaUniversitas Gadjah Mada2
Taufik WalinonoUniversitas Gadjah Mada2
Wahyu LazuardiUniversitas Gadjah Mada2
Dimas Novandias Damar PratamaUniversitas Gadjah Mada2
Azis MusthofaUniversitas Gadjah Mada2
Zulfikri IsnaenUniversitas Gadjah Mada2
Hartono HartonoUniversitas Gadjah Mada1
Barano Ss MeterayAfiliasi tidak diketahui1
Muhammad KamalUniversitas Gadjah Mada1
Sudaryatno SudaryatnoUniversitas Gadjah Mada1
Bagus WiratmokoUniversitas Gadjah Mada1
Wahyu NurbandiUniversitas Gadjah Mada1
Mennofatria BoerIPB University1
Ani MardiastutiIPB University1
Dedi SoedharmaIPB University1
Vincentius Paulus SiregarIPB University1
Pramaditya WicaksonoUniversitas Gadjah Mada1
Suwarno HadisusantoUniversitas Gadjah Mada1
Muh. Sri YusalUniversitas Gadjah Mada1
Ryanto RijantaUniversitas Gadjah Mada1
Rini RachmawatiUniversitas Gadjah Mada1
Sara Dwi KumiartoAfiliasi tidak diketahui1
Ahmad Faizan BustomiUniversitas Gadjah Mada1
Anggito Venuary SukamdiUniversitas Gadjah Mada1
Projo DanoedoroUniversitas Gadjah Mada1
Muhammad BaiquniUniversitas Gadjah Mada1
Willem Anthon SiahayaUniversitas Gadjah Mada1
Arinalhaq ArinalhaqAfiliasi tidak diketahui1
Rahmat Azul MizanUniversitas Gadjah Mada1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://journals.ums.ac.id/index.php/fg/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Flickr Photos Analysis for Beach Tourism Management in Bantul Regency, Indonesia: Popularity and Tourist Attractions</dc:title>
	<dc:creator>Wicaksono, Arief</dc:creator>
	<dc:creator>Farda, Nur Mohammad</dc:creator>
	<dc:creator>Khakhim, Nurul</dc:creator>
	<dc:creator>Wibowo, Totok Wahyu</dc:creator>
	<dc:subject xml:lang="en-US">Geography</dc:subject>
	<dc:subject xml:lang="en-US">Popularity; Beach Attraction; Image Content Analysis; Flickr; Bantul</dc:subject>
	<dc:subject xml:lang="en-US">Geospatial Big Data</dc:subject>
	<dc:description xml:lang="en-US">Photos shared by social media users act as an approach in identifying tourist activity. Popular tourist attractions are judged based on the large number of photos or high photo density. In Bantul Regency, Indonesia, beaches have diverse attractions which tourists can enjoy and immortalize through photos. Analyzing the contents of photos on Flickr provides information on the type(s) of beaches or coastal attractions preferred by tourists. This study examined the availability of geotagged Flickr photos to assist in making relevant beach tourism management policies. It employed pattern analysis with the average nearest neighbor, density analysis with kernel density estimation, image content analysis with tourist attraction as the variable, and overlay analysis to formulate recommendations for beach tourism management based on the popularity level of the attractions. The results indicate that each of the local beaches offers different attractions with varying popularity levels and that natural beauty is the main feature attracting tourists to visit all beaches, except Baros. Based on the pattern analysis, the Flickr photos are clustered on several beaches of high popularity, such as Parangtritis, Baros, Depok, and Cemara Sewu. By using geotagged Flickr photo data and refers to the concept of tourism supply and demand, recommendations for developing the attractive features on these beaches have been compiled according to their respective themes and popularity levels to target specific tourist market segments and design integrated tour or travel packages.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Surakarta</dc:publisher>
	<dc:contributor xml:lang="en-US">Faculty of Geography, Universitas Gadjah Mada</dc:contributor>
	<dc:date>2021-07-10</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:type xml:lang="en-US">Spatial Analysis</dc:type>
	<dc:format>text/html</dc:format>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.ums.ac.id/index.php/fg/article/view/13007</dc:identifier>
	<dc:identifier>10.23917/forgeo.v35i1.13007</dc:identifier>
	<dc:source xml:lang="en-US">Forum Geografi; Vol 35, No 1 (2021): July 2021; 85-102</dc:source>
	<dc:source>2460-3945</dc:source>
	<dc:source>0852-0682</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.ums.ac.id/index.php/fg/article/view/13007/6884</dc:relation>
	<dc:relation>https://journals.ums.ac.id/index.php/fg/article/view/13007/6955</dc:relation>
	<dc:coverage xml:lang="en-US">Social Media Analysis</dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Arief Wicaksono, Nur Mohammad Farda, Nurul Khakhim, Totok Wahyu Wibowo</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights>
</oai_dc:dc>