Abstract
Southwest Sumba Regency (SBD) is a district located on the island of Sumba with the capital city Tambolaka; Southwest Sumba Regency is a separate area from the East Nusa Tenggara Province, Indonesia. Southwest Sumba Regency, there are a variety of tourism objects, and sustainability is still maintained; most places have potential tourism objects that can be promoted as part of tourist destinations because they have unique elements of natural culture and several different tourism potentials and have been visited by various tourists both local and foreign tourists. However, there is still a lack of facilities and infrastructure as well as the lack of government efforts that have not been maximized in handling the development of coastal tourism so that it can result in the potential of tourism objects being unable to develop optimally. The existing facilities, infrastructure, and tourism do not yet exist in all coastal tourism areas, so they do not guarantee comfort and attractiveness for visitors. This is where regulations are needed from the awareness of local governments that carry out planned and structured tourism development in a well and comprehensive manner so that superior potential can be developed properly so that it can have a positive impact on the region and society in implementing the development of the tourism sector in an area, under the authority of the local government. Research objectives: to see and identify potential coastal tourism objects, know and analyze the planning (formulation) of Coastal Tourism Development based on the utilization of existing resources and find out and analyze internal and external factors in the Planning of Coastal Tourism Development carried out by the Department of Culture and Tourism of Southwest Sumba Regency. Research Methods: This study uses SWOT analysis (Strengths, Weaknesses, Opportunities, Threats). The research technique used is observation, interview, and documentation using two data sources, namely primary and secondary data, both quantitative and qualitative data.
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