Development of Parameter Transformation of Indonesian Geospatial Reference System 2013

DGN95 is a static geospatial reference system, in which the change in the value of coordinates towards time as a result of tectonic plate movement and deformation of the earth’s crust, is not considered. Changes in the value of coordinates towards time need to be considered in defining a geospatial reference system for the territory of Indonesia. This is because the territory of Indonesia is located between several tectonic plates which are very dynamic and active. This area of IndoneFor this reason, SRGI2013 was born, a national coordinate system that was consistent and compatible with the global coordinate system. SRGI considers changes in coordinates based on time functions. Problems arise when the coordinates of the old pillar still use the DGN95 datum reference system. Many published maps or geodetic control network use the old coordinate system, then the mapping user has difficulty getting the conversion of coordinates change aforesaid. The purpose of this study is to produce coordinate transformation parameters to change the coordinates of the old datum (DGN95) into coordinates in the SRGI2013 datum. The results of the transformation parameters resulted are used to change coordinates that are still in the old datum. In addition to making it easier for users to transform coordinates. The coordinate transformation method used uses the 3-dimensional coordinate transformation of the Bursa-Wolf model (7 parameters) and the Affinity model (10 parameters)

EVALUASI TITIK KUMPUL EVAKUASI (TKE) BANJIR LAHAR HUJAN BERBASIS TESELASI SPASIAL DAN ANALISIS PERGERAKAN EVAKUASI

Mount Merapi eruption in 2010 caused primary and secondary hazards. Primary hazard consist of lava and pyroclastic flow, locally known as wedhus gembel. The secondary hazard, which was also very dangerous, included volcanic ash and lahar flood. Four rivers drained off the volcanic materials of Mount Merapi and overflowed as lahar flood to 13 villages in Kabupaten Magelang. Kali Putih had the most victims and losses among the other rivers. Lahar flood of Kali Putih caused damages in Desa Gulon, Seloboro, Sirahan, and Blongkeng. It was not only harmed people and their houses, but also ruined agricultural land and critical infrastructures. It also forced a mount of people to evacuate in a long period of time. Titik Kumpul Evakuasi (TKE) as evacuation place for lahar flood�s evacuees is one facility that must have been prepared in disaster management according to the Law 24 in 2007 on Disaster Management. REKOMPAK together with the local goverment and the community had planned the TKE in case of lahar flood ever come back in the future as Mount Merapi eruption�s cycle. They had planned the TKE based on assumptions and local agreements. The TKE had not been evaluated whether it could accommodate lahar flood�s evacuees entirely or not. This research was done to find new buildings for TKE, evaluate the TKE, and define the catchment area of each TKE for accommodating the evacuees. Analysis was done to the TKE planned by REKOMPAK and the village goverment threatened by Kali Putih�s lahar flood and the TKE from field survey. The number of inhabitants was distributed to regular hexagonal tessellation calculated in spatial database. The capacity of each TKE for accommodating the evacuees was calculated by formulas based on building areas and building uses. The catchment area of each TKE was analysed in three scenarios using two Catchment Area Analysis methods in Flowmap software. The scenarios were active scenario (day time), passive scenario (night time), and final (combined) scenario. The methods were Second Best Catchment Area Analysis for time evacuation priority and Catchment Area Analysis with Linear Optimization for TKE capacity priority. The result of this research shows that the current proposed TKE are not capable to accommodate all of the Kali Putih lahar flood�s evacuees in active scenario, passive scenario, and final scenario. Second Best Catchment Distance method resulted the catchment area for almost all of the evacuees but it accumulated a huge number of evacuees in some TKEs. Catchment Area Analysis with Linear Optimization method could distributed the evacuees appropriately to fulfill the capacity of each TKE depend on its evacuation capacity, but its catchment area was only accommodating under half of all the evacuees