Bali is a world tourist destination that is famous for having various types of interesting maritime tourism, including mangrove areas which are typical of equatorial regions. The purpose of this study is to develop a model that can predict the sustainability of ecotourism in the mangrove area in Bali based on the approach of empowering local potential and empowering the community. Data analysis was carried out using Bayesian Network analysis, where input was based on the results of the FGD. The results show high probability of realizing the sustainability of ecotourism, where the most influential variables are community participation and local product developers or mangrove-based products. In addition, the condition of the mangrove forest also needs attention, considering that the sustainability of mangrove ecotourism is very sensitive to changes in the condition of the mangrove forest. The three main variables have reflected the combination of the three elements of sustainability, namely people-social (community participation), planet-environment (mangrove forest condition), and profit-economic (developing of mangrove-based products). Mangrove ecotourism development in Bali should be focused on increasing community participation and the development of mangrove-based products.

This study aims to analyze the relationship between government digitalization and the enhancement of community participation in development in North Sumatra Province. Digitalization is understood as an effort to transform bureaucracy through information technology, manifested in official regional government websites such as sumutprov.go.id, which provide various public services online. However, the effectiveness of such digital platforms in encouraging active citizen participation has not been widely explored, particularly in non-metropolitan areas. This research employs a descriptive qualitative approach with data collection techniques including observation, documentation, and semi-structured interviews with ten informants from various regions in North Sumatra. Data were analyzed using the Miles, Huberman, and Saldana model, supported by NVivo 15 software for thematic coding and data visualization. The findings reveal that although the public has access to digital government services, the level of engagement remains low due to structural barriers (internet access and digital literacy), cultural factors (offline habits), and institutional constraints (limited bureaucratic responsiveness). Based on the Diffusion of Innovation theory, most of the population falls into the late majority and laggards’ categories, indicating that digital innovation adoption is not yet widespread. This study offers novelty by specifically mapping the forms of digital community participation based on direct experiences and identifying the dynamics of digital innovation adoption within the context of regional governance. These findings have significant implications for the development of a more adaptive, inclusive, and participation-oriented digital government strategy in regional development.