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

In: Proceedings of the 19th International Symposium on Management (INSYMA 2022)

Author

Listed:
  • 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)

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.

Suggested Citation

  • Siti Mujanah & Candraningrat Candraningrat & Sumiati & Lutvi Abdullah & Nur Fitriani & Elvira Aulia Fijannah, 2023. "Grouping of Tourist Preferences Towards Tourist Villages in East Java Based on Facial Recognition and Background," Advances in Economics, Business and Management Research, in: Werner Ria Murhadi & Dudi Anandya & Noviaty Kresna Darmasetiawan & Juliani Dyah Trisnawati & Putu An (ed.), Proceedings of the 19th International Symposium on Management (INSYMA 2022), pages 311-320, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-008-4_41
    DOI: 10.2991/978-94-6463-008-4_41
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