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All Journal Jurnal EMT KITA JENIUS (Jurnal Ilmiah Manajemen Sumber Daya Manusia) Jurnal Ilmiah Edunomika (JIE) Jurnal Ilmiah Manajemen Kesatuan Jurnal Ilmu Manajemen Retail Universitas Muhammadiyah Sukabumi (JIMAT UMMI) Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) International Journal Software Engineering and Computer Science (IJSECS) International Journal of Science and Society (IJSOC) AL-MASHALIH (Journal of Islamic Law) International Journal of Economics, Management and Accounting Branding: Jurnal Manajemen & Bisnis Jurnal Bisnis Digital, Akuntansi, Kewirausahaan, dan Manajemen Jurnal Pengabdian Masyarakat Multidisiplin Sawala Cendekia: Jurnal Peneiltian Multidisiplin
Setiadi, Sandi
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DATA-DRIVEN STRATEGY: HOW BIG DATA SAVES TOURIST DESTINATIONS FROM ENVIRONMENTAL DEGRADATION Prakoso, Sugih; Setiadi, Sandi
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 2 (2026): April
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19476997

Abstract

This study aims to optimize digital tourism strategies in the Puncak region, West Java, in support of achieving the Sustainable Development Goals (SDGs), particularly inclusive economic growth and environmental preservation. The study uses a quantitative approach with an explanatory research design and involves 225 digital tourists as respondents. Data analysis was conducted using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The findings indicate that both User-Generated Content and Digital Sentiment Analysis positively and significantly influence Tourism Sustainability, not only directly but also through the mediation of a Digital Tourism Strategy. Digital Sentiment Analysis has the most dominant influence on the formation of digital strategies, as indicated by a t-statistics value of 13.903. In addition, the model has a very strong predictive power, where Digital Tourism Strategy is able to explain 92.2% of the variance in Tourism Sustainability. Overall, these findings emphasize the importance of integrating tourist digital data and sentiment analytics as the basis for formulating adaptive, evidence-based tourism policies that are oriented towards destination sustainability and the balance of the national tourism ecosystem.
Co-Authors Achmad Ridwan, Achmad Ahmad Rizani, Ahmad Alhidayatullah Aminuyati Aulia, Jihan Permata Deni, Asep Endarwati, Esti Tri Fathussyaadah, Eva Ginanjar, Noornissa Sarah Iswanto, Juni Judijanto, Loso Laila, Delian Mafriningsianti, Evi Maulana , Rizky Muhamad Risal Tawil Niken Safitri Octaviani, Reni Dian Prakoso, Sugih Rianto, Toha Rizky Maulana, Rizky Sarah Ginanjar, Noornissa Sarip Hidayat, Sarip Sobar, Agus Solly Aryza Sri Widyastuti Suciati, Fithri Syafi’i, Alfan Utami, Eva Yuniarti Yayat Hidayat Zaky, Muhammad Zulkifli