No abstract

<div><p><em>National parks have great potential for nature tourism enthusiasts worldwide, including Indonesia. There are 54 national parks spread across Indonesia, and one of them is Mount Gede Pangrango National Park (TNGGP), West Java. TNGGP is one of the many visited by domestic tourists, especially tourists from millennials. This research aims to analyze the behaviour of millennial tourists through the approach of digital promotion attributes, ecotourism attractions and their motivation for visiting decisions. The study used quantitative analysis and randomly selected respondents from as many as 100 tourists. It ended by processing data from the results of distributing questionnaires with the help of Structural Equation Modeling software. The results of the data analysis show that there is an influence of tourist perceptions on ecotourism attractions and tourist motivation on the decision to visit and has an impact on repeat visits to GPNP. However, digital promotion attributes do not influence millennial tourists' decisions to visit TNGGP, let alone to visit repeatedly. This study recommends that managers re-evaluate digital promotion programs to increase visits to TNGGP.</em></p></div>

The strategic location of Taman Wisata Alam Pantai Carita is not far from the capital city of Jakarta and easy to access by public transportation. It takes two hours from Jakarta. Strategic location is supported by its natural tourism potential to be an attraction for tourists. The high level of domestic tourist visit is dominated by DKI Jakarta, West Java, and parts of Central Java. Tourism development in this region is focused on economic aspects. It has an impact on the exploitation of natural resources, human resources and local culture. Empirical facts show that the dimensions of sustainable tourism are in a weaknesses position. Fundamental weaknesses in this region are (1) Destination Management Organization (DMO) has not been applied; (2) the absence of concepts and efforts to conserve nature and culture carried out by stakeholders; (3) there isn't carrying capacity; (4) there aren't educational efforts and training in the principles of sustainable tourism; (5) there isn't promotion and campaign for sustainable tourism and; (6) there isn't monitoring and evaluation program. This research used of descriptive qualitative method. This research aims to design a governance system to develop sustainable tourism principles at the Taman Wisata Alam Pantai Carita. The condition of tourism provides of benefits to local society in the economic sector, environmental and cultural conservation and provides positive social values for stakeholders. Keywords-model of sustainable tourism, carrying capacity, destination management organization (dmo).

PurposeThis study aims to find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in geographic areas and the application of ecotourism elements that are integrated with big data innovation through artificial intelligence technology.Design/methodology/approachData analysis is performed through dynamic system modeling. Simulations are carried out in three models: First, existing simulation models. Second, Scenario 1 is carried out by utilizing a causal loop through innovation of big data-based artificial intelligence technology to ecotourism elements. Third, Scenario 2 is carried out by utilizing a causal loop through big data-based artificial intelligence technology on aspects of ecotourism elements and destination competitiveness.FindingsThis study provides empirical insight into the competitiveness performance of destinations and the performance of implementing ecotourism elements if integrated with big data innovations that will be able to massively demonstrate the growth of sustainable tourism performance.Research limitations/implicationsThis study does not use a primary database, but uses secondary data from official sources that can be accessed by the public.Practical implicationsThe paper includes implications for the development of intelligent technology based on big data and also requires policy innovation.Social implicationsSustainable tourism development.Originality/valueThis study finds the expansion of new theory competitiveness of ecotourism destinations.

Indonesia has comparative advantages of tropical ecosystem, wealth tourist attraction nature, the diversity of culture, living culture peculiar and demographic dividend to participate in tourism. The comparative advantages in accordance with this tourist’s behavior in the experience economy era where the tourists are seeking a tourist destination that has an authentic, such as a diversity of culture and the natural environment that is distinctive. However, this comparative advantage does not correlate with the trend of the increasing number of tourist arrivals in Indonesia. It shows that there were problems in a tourism competitive advantages and knowledge related to competitiveness of tourism inadequacy. This motivates to the need for a study in measuring the effectiveness of competitiveness tourism-based ecotourism in the tourist destinations in Indonesia. This study evaluates the competitiveness of tourism in the areas which have a national park in Indonesia on providing guidelines for tourism policy makers in Indonesia. We use travel and tourism competitiveness index by using data which has been available in the government and non-government institutions. We further employ clusters and dimensional scale to analyze the data. The results found that the average score of competitiveness of tourism indicates the index of 3 – 4. In summary, the tourism competitiveness in the area which have a varies national park can be classified into 5 clusters of tourist attractions based on characteristics of tourism competitiveness. They are health and hygiene, environment indicator, price competitiveness and purchase power parity.