Analysis using artificial intelligence in handling slums in coastal areas Kendari City
Abstract
This study aims to assess to find out how the public views the handling of slums in the Kendari City Coastal Area and the sustainability of slum handling. This research is classified as a qualitative research type, by analyzing the area to be studied because this research is classified as an exploratory research type, by describing the condition and situation of the area that is the object of research. To answer the first research objective related to the pattern of slum handlers, a survey was conducted to find out the pattern of handling slums in Kendari City, carried out by analyzing data sourced from literature and reports on the results of treatment. and for the second problem an analysis will be carried out on the next plan for handling slums. In this case the researcher will conduct a qualitative analysis, by describing based on the documentation materials of the results of the research. Based on the results of the discussion, it can be concluded that the sustainability analysis by the community is carried out by the community beneficiaries of the program, with the Planning Document made by the community, and accepts the slum management well by the community. Handling slums into tourist areas is an important strategy to reduce the level of slums and improve the quality of life of local communities, by involving stakeholders. Things that can be done with; (1) infrastructure planning and supporting facilities, (2) environmental maintenance, (3) economic empowerment approach, (4) training and education, (5) marketing of tourist areas, (6) collaboration with stakeholders (7) evaluation and sustainability. The very important thing is that the handling of slums can be solved by implementing the principles of collaboration between communities by implementing all efforts to encourage the role of all parties in overcoming slums by streamlining and optimizing the role of parties at the community level.
Fields of Study & Subjects
Urban and Rural Development Challenges
Smart Cities and Technologies
Data Mining and Machine Learning Applications
Publication details
- Journal / source
- AIP conference proceedings
- Volume
- 3393
- Pages
- 020034–020034
- Publication date
- 1 January 2026
- Language
- EN