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Mobile-based Data Mining and Digital Technology Approaches to Improve Sustainable Tourist Experiences

Bahruni, Muhammad Agha Afkar

View Author Affiliations
  • Bahruni: STMIK Indonesia Banda Aceh, Indonesia
  • Muhammad Agha Afkar: Lembaga Mitra Solusi Teknologi Informasi (L-MSTI), Indonesia
Published:
September 10, 2023
Pages:
69–86

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Abstract

The tourism industry requires technological innovation to improve competitiveness and growth in the digital era. This study analyzes the use of data mining and digital technology as a tool to optimize tourist experience and increase customer satisfaction in the tourism sector. The development of applications based on data mining and digital technology is the main focus to explore tourist preferences and improve the efficiency of sustainable tourism management. Search features, bookings, and review systems are integrated into the application to facilitate tourist travel planning. The research methodology involves comprehensive data analysis to identify market trends and refine sustainable tourism management strategies. The results of the study provide benefits to the community, business entities, and government institutions in the tourism sector by improving the quality of tourist experience, customer satisfaction, and operational efficiency of sustainable tourism management. The urgency of the research lies in the potential for significant contributions to the development of the tourism sector and strengthening the national economy.

Author Biographies
Bahruni

STMIK Indonesia Banda Aceh

Informatics Management Study Program, STMIK Indonesia Banda Aceh, Banda Aceh City, Aceh Province, Indonesia

Muhammad Agha Afkar

Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Junior Researcher, Research Division, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI), Banda Aceh City, Aceh Province, Indonesia

Article Identifiers
  • Article Title: Mobile-based Data Mining and Digital Technology Approaches to Improve Sustainable Tourist Experiences
  • DOI: 10.59431/jms.v1i2.293
  • Publication Date: 2023-09-10
  • Journal: Journal Mobile Technologies (JMS)
  • Volume: 1
  • Issue: 2
  • Pages: 69–86
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Article Details

Volume: 1
Issue: 2
Year: 2023
Published: 2023-09-10
Pages: 69–86
Section: Articles
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How to Cite

Bahruni, & Afkar, M. A. (2023). Mobile-based Data Mining and Digital Technology Approaches to Improve Sustainable Tourist Experiences. Journal Mobile Technologies (JMS), 1(2), 69–86. https://doi.org/10.59431/jms.v1i2.293
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