DEVELOPMENT OF CLASSIFICATION MODEL TO PREDICT FLOOD-PRONE LOCATIONS USING GEOSPATIAL ARTIFICIAL INTELLIGENCE AND SNI 8197:2015 METHOD (CASE STUDY : GEOSPATIAL INFORMATION AGENCY)
Abstract— Geospatial information agency as data custodian of flood-prone requires a breakthrough innovation to predict flood-prone locations in real time. Currently, flood-prone data processing is carried out offline through a desktopbased spatial software. The emergence of integrated artificial i...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/67211 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |