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This Author published in this journals
All Journal Journey : Journal of Tourismpreneurship, Culinary, Hospitality, Convention and Event Management E-Jurnal Matematika
Dewa Made Alit Adinugraha
Politeknik Internasional Bali
Humanities Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Smart & Green Tourism In Bali: Integrating Digital Technologies And Circular Economy Principles For A Low-Carbon Destination Development Jery Christianto; Dewa Made Alit Adinugraha
Journey : Journal of Tourismpreneurship, Culinary, Hospitality, Convention and Event Management Vol. 8 No. 2 (2025): Journey : Journal of Tourismpreneurship, Culinary, Hospitality, Convention and
Publisher : Politeknik Internasional Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46837/journey.v8i2.306

Abstract

This study examines the integration of digital technologies and circular economy principles to support Bali’s transition toward a low-carbon tourism destination. Employing a qualitative descriptive approach with secondary data analysis, the research synthesizes evidence from academic literature, government policies, and industry reports to explore how smart and green tourism can be effectively operationalized. The findings demonstrate that digital technologies including IoT, big data, artificial intelligence, and VR/AR play a pivotal role in improving energy efficiency, optimizing transportation flows, enabling smart waste management, and preserving cultural heritage, while simultaneously enhancing visitor experiences and destination competitiveness. In parallel, circular economy practices such as waste reduction, recycling, eco-design, and resource efficiency address pressing environmental challenges while also strengthening local economies, cultural industries, and community resilience. Despite progress, Bali’s implementation remains partial and fragmented, constrained by weak market demand for eco-friendly products, limited infrastructure, and low community literacy regarding sustainability practices. Theoretically, this study enriches sustainable tourism literature by advancing an integrative framework that connects smart and green paradigms. Practically, it offers strategic insights for policymakers, industry stakeholders, and local communities to enhance competitiveness while safeguarding cultural identity and ecological sustainability. The study concludes that Bali’s pathway to sustainable tourism requires stronger regulations, fiscal incentives, digital literacy programs, and collaborative governance to build a holistic low-carbon ecosystem.
COMPARATIVE EVALUATION OF SVM AND LSTM FOR TOURISM SENTIMENT CLASSIFICATION: STUDY CASE TANAH LOT TOURISM DESTINATION, BALI DEWA MADE ALIT ADINUGRAHA; JERY CHRISTIANTO
E-Jurnal Matematika Vol. 15 No. 2 (2026)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2026.v15.i02.p502

Abstract

This study presents a comparative evaluation of Support Vector Machine (SVM) and Long Short-Term Memory (LSTM) models for tourism sentiment classification, using YouTube comments related to Tanah Lot, Bali. The dataset manually cleaned comments labeled as Positive, Neutral, or Negative. Both models achieved identical overall accuracy (0.95), but class-wise analysis revealed substantial differences: LSTM exhibited strong bias toward the majority class (Neutral), failing to detect minority sentiments, while SVM retained partial sensitivity to Positive and Negative classes. These findings highlight the limitations of deep learning architectures under low-resource and imbalanced conditions and underscore the importance of context-aware model selection. Class-wise evaluation metrics are essential for capturing minority sentiment, which is critical for destination governance and informed decision-making in tourism management.
Co-Authors Jery Christianto