Grouping of Tourist Preferences Towards Tourist Villages in East Java Based on Facial Recognition and Background

Siti Mujanah, Candraningrat Candraningrat (), Sumiati, Lutvi Abdullah, Nur Fitriani and Elvira Aulia Fijannah
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Siti Mujanah: University 17 August 1945
Candraningrat Candraningrat: University 17 August 1945
Sumiati: University 17 August 1945
Lutvi Abdullah: University 17 August 1945
Nur Fitriani: University 17 August 1945
Elvira Aulia Fijannah: University 17 August 1945

A chapter in Proceedings of the 19th International Symposium on Management (INSYMA 2022), 2023, pp 311-320 from Springer

Abstract: Abstract The research aims to propose a new method for the analysis based on face and picture content recognition technologies, travel habits, and preferences that were grouped by age, gender, and the background of tourist attractions utilized by photographers. This study uses content analysis to identify potential destinations associated with tourists visiting East Java tourist villages. The researchers analyzed 262 photos of 501 people on Facebook and Instagram. The researchers analyzed the state and condition of tourism using photos captured by tourists as the background and classified them according to the dimensions of cognitive imagery such as the natural surroundings, food, public amenities, time and entertainment, the culture of the tourist village destination and history, architectural styles, and rural life. The results show that the leisure and entertainment dimensions have the highest frequency of tourists at 36%, followed by public amenities (27%), natural surroundings (23%), and other dimensions such as food, art, cultural history, architectural styles, and rural life. Further development by the village government and community is needed to attract better tourists to visit the tourist villages, as the tourist village’s success will increase the community’s economy.

Keywords: Tourist preferences; tourist villages; cognitive imagery (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-008-4_41

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DOI: 10.2991/978-94-6463-008-4_41

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