Determination of Inundation Zone Using Artificial Intelligence as a Basis for Infrastructure Development in Special Economic Areas of Tanjung Lesung Banten

Abstract

According to history, Sunda Strait has experienced several tsunamis recorded in the tsunami catalog caused by several geological phenomena such as Krakatau eruption (416, 1883, and 1928), earthquake (1722, 1852, and 1958), and other suspected causes of land failure in the form of landslides both on the coast and on a submarine (1851, 1883, and 1889). One of the most recent tsunami incidents in the Sunda Strait was the tsunami on December 22, 2018, which triggered a flank collapse as the volcano part built on the caldera's steep wall resulting from 1883 eruption. According to The Indonesia National Disaster Management Agency (BNPB), the number of victims of the Sunda Strait tsunami died at 437 people, and losses for tourism ranged from Rp150 billion. One example of a successful tourism area that could rise after the tsunami is Pucket Beach, Thailand. This beach, affected by the 2004 Indian Ocean Tsunami, can increase the number of tourist arrivals even exceeded the number of visits before the tsunami caused by mapping vulnerability areas and comprehensive risk analysis. This study's aim implies these methods because the majority of tourism areas in Indonesia have not applied the master plan that includes the tsunami risk area, one of which is in the special economic zone (KEK) of Tanjung Lesung. To anticipate future tsunamis, an inundation zone model of tsunami waves will arrive at the coast. Inundation zones or tsunami wave runoff zones are generated from non-linear relationships between the Sunda Strait bathymetry, tide gauge signals, west coast of Banten topography, and rainfall on Sunda Strait tsunami 2018 using artificial intelligence by weighted overlay method. The inundation resulting from this research can be used as a reference for the local government for infrastructure development that supports Tanjung Lesung tourism.