This study aims to explain the design of policy strengthening in forest and land fire disaster mitigation governance, through the integration of ecotourism development in Siak Regency. Based on the research topic, this study employs a qualitative approach to describe governance conditions and the design of policy strengthening in ecotourism-based disaster mitigation governance. Data analysis is performed using Nvivo 12 Plus software. The results of this study indicate that forest and land fire disaster mitigation governance based on ecotourism development still has shortcomings that need to be addressed in the principles of conservation, economy, and community involvement. Then, the design of a policy to strengthen ecotourism-based disaster mitigation governance includes three crucial policy recommendations, namely: the need for special regulations related to forest and land fire disaster mitigation prevention based on the integration of ecotourism principle development, the need for a balance of roles between actors in determining and implementing ecotourism-based disaster mitigation policies, and the need for effective and efficient implementation of ecotourism-based disaster mitigation policies through increasing the involvement of strategic actors. Substantially, the handling of forest and land fire disasters in Siak Regency can be combined with ecotourism activities, especially in tourist village areas, by developing policies to strengthen the utilization of village-owned disaster mitigation facilities such as reservoirs, lakes, or ponds that are converted into water supplies during the dry season for forest and land fire disaster prevention activities and local economy-based tourist destinations. Our findings are a strategic effort to raise awareness among actors and highlight the need for policy-strengthening design in ecotourism-based disaster mitigation. These findings can also contribute to the literature that will be useful for all stakeholders in developing future long-term disaster mitigation governance policies. This study relies heavily on information from key informants, who represent only the perspectives and expertise of the stakeholders encountered. However, it still refers to important elements based on the informants’ knowledge capabilities in the disaster and tourism sectors. Therefore, we propose to conduct future studies on a comprehensive analysis of sustainable ecotourism-based disaster mitigation governance to promote and accelerate the idea of disaster and tourism in the future.

South Korea’s over 3300 islands play vital roles in the nation’s geography, economy, culture, and national security. Despite their importance, these islands face significant challenges, including population decline, aging demographics, and a severe lack of healthcare, childcare, and education facilities. With only 20% of inhabited islands connected to the mainland by bridges, coastal ferries are the primary transportation mode. However, the infrequent ferry services and numerous intermediate stops cause considerable inconvenience. This study conducts an analysis of the coastal ferry route connectivity within the Mokpo Area, focusing on proposing improvements to enhance access to community infrastructure for local island residents. This study analyzes the Mokpo Area’s coastal ferry network, identifying Dochodo as a central hub island to improve connectivity for sustainable island development. By reorganizing routes around Dochodo with larger ferries for main routes and smaller ferries for local trips, the study aims to enhance service access and boost tourism for island communities.

This research analyzes the relationship between political stability, renewable energy utilization, economic progress, and tourism in Indonesia from 1990 to 2020. We employ advanced econometric techniques, including the Fourier Bootstrap Autoregressive Distributed Lag (ARDL) approach and Fourier Toda-Yamamoto causality testing, to ensure the robustness of our results while accounting for smooth structural changes in the data. The analysis uncovers a long-term equilibrium relationship between tourism and its fundamental determinants. Our research reveals significant positive impacts of political stability and renewable energy consumption on tourism in Indonesia. A stable political environment creates a favorable climate for tourism development, instilling confidence in both domestic and international tourists. Promoting renewable energy usage aligns with sustainable tourism practices, attracting environmentally conscious travelers. Furthermore, our findings demonstrate a bi-directional causal relationship between these variables over time. Changes in political stability, renewable energy consumption, and economic growth profoundly influence the tourism sector, while the growth of tourism itself can also stimulate economic development and foster political stability. Our findings underscore the need for environmentally sustainable and politically stable tourism policies. Indonesia’s tourism sector can grow sustainably with renewable energy and stability. Policymakers can develop strategies with tourism, political stability, renewable energy, and economic prosperity in mind.

The process of internationalization and innovation (IPI) in the urban road passenger transport (URPT) sector is driven by the need to provide cities with efficient and sustainable mobility solutions. The objective of this study is to understand the perceptions of URPT employees in relation to PII, based on a comprehensive case study. By exploring how these two concepts interrelate and influence each other, the study seeks to provide valuable information that can help improve strategic planning and policy formulation in the urban transport sector. The research, based on semi-structured interviews with 20 employees, reveals significant gaps in internal communication, with only about half of the participants aware of ongoing national and international projects. Information was often limited to those directly involved, indicating a need for improved dissemination strategies. Despite these communication issues, employees positively view the company’s presence at international events and recognize the importance of involvement in European organizations, particularly for knowledge acquisition and networking. Challenges identified include inadequate internal communication and insufficient investment in international projects. However, there was strong agreement on the value of internationalization and innovation process (IIP) for both professional development and organizational growth. To enhance the company’s international presence and return on investment (ROI), the study recommends better coordination, improved information sharing, and strategic planning. These findings emphasize the critical role of effective communication and active participation in international initiatives for the sustainable growth of the organization.

This study evaluated the performance of several machine learning classifiers—Decision Tree, Random Forest, Logistic Regression, Gradient Boosting, SVM, KNN, and Naive Bayes—for adaptability classification in online and onsite learning environments. Decision Tree and Random Forest models achieved the highest accuracy of 0.833, with balanced precision, recall, and F1-scores, indicating strong, overall performance. In contrast, Naive Bayes, while having the lowest accuracy (0.625), exhibited high recall, making it potentially useful for identifying adaptable students despite lower precision. SHAP (SHapley Additive exPlanations) analysis further identified the most influential features on adaptability classification. IT Resources at the University emerged as the primary factor affecting adaptability, followed by Digital Tools Exposure and Class Scheduling Flexibility. Additionally, Psychological Readiness for Change and Technical Support Availability were impactful, underscoring their importance in engaging students in online learning. These findings illustrate the significance of IT infrastructure and flexible scheduling in fostering adaptability, with implications for enhancing online learning experiences.