Temporal observation is a series of processes started by collecting the necessary data, which is then processed, so that valid information is obtained to support the right decision. To increase the ease of data collection, an automatic algorithm is needed to increase efficiency, shorten the time, and reduce the required resources. The automatic algorithm based on the geographic information system developed in this study was applied to monitoring mangrove forests in Gopek Beach, located on the north coast of Serang, Banten. Using the cloud computing process from an automatic algorithm, the results of vegetation monitoring showed increased efficiency in time and resources. Thus, this study can be used for Geographic Information Systems learning materials in schools or universities.
Pandeglang Regency is an area that has the potentiel to be hit by tsunamis. The plate subduction paths of Indo-Australia and Anak Krakatau Volcano make Pandeglang Regency a region with a high tsunami potential. One step that can be taken to overcome and minimize losses is to do spatial planning to protect it against potential tsunami damage. This research aimed to evaluate the spatial area of Pandeglang Regency based on the identification of potential tsunami hazards. The concept of modelling the tsunami inundation height developed by Berryman and based on Head Regulation No.4 of 2012 of the Indonesian National Board for Disaster Management has been used to identify potential tsunami hazards. The modelling was carried out by calculating the potential distribution of tsunami wave heights in coastal areas. Three scenarios were used to estimate the distribution. The results showed that the first scenario predicted a maximum tsunami height of 7.5 meters above sea level with the furthest tsunami inundation reaching 1,700.12 meters. Second scenario predicted maximum height of 15 meters, with the furthest tsunami inundation reaching 3,384.62 meters. Meanwhile, the last scenario was able to predict a height of 20 meters and showed the furthest tsunami inundation reaching 5.155,11 meters. These results proved that in all scenarios, the widest inundation would occur in Panimbang Regency. This is due to the relatively small variations in roughness and slope of the surface. The same condition also occurs in the last two scenarios, in which Sumur District was the area most ffected. Therefore, the spatial plan of Pandeglang Regency needs to be evaluated and the function of residential area changed to reduce and prevent large losses.
Pandeglang Regency is an area that has a large potential level of Tsunamis. This is based on the fact that Geographically Pandeglang Regency located near the Krakatau Anak Volcano and plate subduction path of Indo-Australia in the Sunda Strait cause Pandeglang Regency to become one of the regions that has a tsunami potential. Therefore, it is necessary to mitigate from an early age in order to overcome and prevent large losses. One of the steps that can be taken is to identify the potential coverage area of the inundation. The results of the calculations from these data are then entered into the Tsunami scenario modeling. Which in this case is divided into 3 scenarios, for Pandeglang Regency, the first scenario with a 100-year period the maximum tsunami height from the coastline is 7.5 meters. For the second scenario with a 2000-year period with a predicted maximum height of 15 meters and the last scenario with a period of 2500 years with a predicted height of 20 meters. The results show that in the Tsunami wave modeling 7.5 m of the widest inundation occurs in Panimbang District this is due to land cover consisting of ponds, rice fields, irrigation, plantations and gentle slopes. The conditions that occur in the well-sphere cause this area to become a flooded area with the highest area at the tsunami wave modeling of 15 m. Sumur Sub-district is also the area with the largest inundation at the 20 m tsunami wave modeling.
Abstract The potential for natural disasters in Pandeglang Regency is enormous considering that various kinds of disasters can occur in Pandeglang Regency. There needs to be comprehensive efforts to reduce the impact of the risk of natural disasters, one of them is by knowing the level of social vulnerability of the community in Pandeglang. Social vulnerability calculates the level of social vulnerability of the community to scenarios of natural disasters. This study aims to determine the level of social vulnerability and its distribution. Concept method of Social Vulnerability Index (SOVI) is used to measure regional vulnerability based on social indicators to disasters using the aspects of exposure, sensitivity and adaptive capacity. The variables used are population density, proportion of informal sector workers, proportion of vulnerable age population, proportion of non-permanent houses, proportion of prosperous households, proportion of high school graduates and number of social institutions. The level of vulnerability that dominates is a low vulnerability area by number 25 sub-districts or 71.42 % while there are 9 sub-districts or 25.71 % for high vulnerability areas and only 1 sub-district or 2.85 % of high vulnerability areas, namely Cimanuk District, which is in the northern part of Pandeglang Regency. Based on the value of vulnerability in several areas that still show a fairly large level of medium-high vulnerability. So, this data can be used as a recommendation as early mitigation measures to reduce the level of social vulnerability in order to reduce the impact that will later be caused.
