QUANTIFICATION OF TSUNAMI HAZARD IMPACT SCENARIOS ON POPULATION AND ECONOMIC LOSS BASED ON LAND USE IN SUKABUMI REGENCY

• Main Author: Ramos, Ferdian
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/50014
• Institution: Institut Teknologi Bandung

Nine districts in Sukabumi Regency are located in the northern part of the Indian Ocean which one of the high-risk areas of tsunami hazard in Indonesia because if a major tsunami occurs in the Indo-Australian and surrounding subduction zones will bring a severe impact on the area along the coastal populated with high density, hence the necessary calculation of socio-economic vulnerability. Population distribution conducted to calculate the social vulnerability of the affected population. Land use is used to model the economic vulnerability of the tsunami hazard impact scenarios. Modeling to calculate the level of socio-economic vulnerability was carried out in thirty-four villages affected by tsunamis based on tsunami hazard impact scenarios of previous research in the Sukabumi Regency. This research conducted by collecting spatial data and non-spatial data from various government and private agencies. socio-economic losses quantification based on four sectors throughout the village affected by the Sukabumi Regency. The quantification of the population model affected by the tsunami hazard in nine districts located in Sukabumi Regency shows that there are 8,889 victims affected in 34 villages. The Pelabuhanratu Village is the region with the most affected population of 1,494 victims. Land use impacted by 6,401 hectares of a tsunami hazard impact scenario. Tegalbuleud District and Tegalbuleud Village are the most affected district and village. Total socio-economic losses based on the quantification of the model that has been done in all affected villages in Sukabumi Regency found that the total loss of all sectors is Rp 2,642,051,117,000.00. The quantifying result finds that the village with the largest socio-economic loss is Jayanti Village and the most affected sectors are the infrastructure and productive sector.