Distribution of Articles published per year
(2010 - 2017)
(2010 - 2017)
Total number of journals
Article 0 Reads 0 Citations Urban Energy Scenario: the Case of Kathmandu Valley Published: 31 July 2017
Journal of Engineering and Technological Sciences, doi: 10.5614/j.eng.technol.sci.2017.49.2.4
Article 0 Reads 0 Citations Evaluasi Pengembangan Wilayah Permukiman Berdasarkan Pemetaan Kerusakan Permukiman Akibat Banjir Lahar Di Kali Putih, Ka... Published: 02 February 2013
TATALOKA, doi: 10.14710/tataloka.15.1.13-27
The aim of this study are (1) to assess the damage of settlement due to lahar flood in study area, (2) to analyze the damage of settlement and (3) to analyze the allocated space of settlement development based on classification of damage settlement. Methods that used in this study are GPS Tracking to know the distribution of lahar flood, classification of damage settlement based on predetermined criteria and spatial autocorrelation to know the pattern of damage settlement. The result of this study is showing that damage settlement due to lahar flood is not only caused by the house distance to the river but also by the materials of it. The spatial pattern of damage settlement is 0,68 (clustered) for Collapse, 0,62 (clustered) for High Damaged, 1,05(clustered) for Low Damaged, 0,64 (clustered) for Medium Damaged) and 1,21 (clustered) for No Damaged.
Article 0 Reads 7 Citations Urban Vulnerability in Bantul District, Indonesia—Towards Safer and Sustainable Development Published: 30 August 2012
Sustainability, doi: 10.3390/su4092022
Assuring safer and sustainable development in seismic prone areas requires predictive measurements, i.e., hazard, vulnerability and risk assessment. This research aims to assess urban vulnerability due to seismic hazard through a risk based spatial plan. The idea is to indicate current and future potential losses due to specified hazards with given spatial and temporal units. Herein, urban vulnerability refers to the classic separation between social and physical vulnerability assessments. The research area covers six sub-districts in Bantul, Indonesia. It experienced 6.2 Mw earthquakes on May, 27th, 2006 and suffered a death toll of 5700, economic losses of up to 3.1 billion US$ and damage to nearly 80% of a 508 km2 area. The research area experienced the following regional issues: (1) seismic hazard; (2) rapid land conversion and (3) domination of low-income group. This research employs spatial multi criteria evaluations (SMCE) for social vulnerability (SMCE-SV) and for physical vulnerability (SMCE-PV). The research reveals that (1) SMCE-SV and SMCE-PV are empirically possible to indicate the urban vulnerability indices; and (2) integrating the urban vulnerability assessment into a spatial plan requires strategic, technical, substantial and procedural integration. In summary, without adequate knowledge and political support, any manifestation towards safer and sustainable development will remain meager and haphazard.
Article 0 Reads 0 Citations Tinjauan Kerentanan, Risiko dan Zonasi Rawan Bahaya Rockfall di Kulonprogo, Yogyakarta Published: 20 December 2010
Forum Geografi, doi: 10.23917/forgeo.v24i2.5021
This research aims at identification of spatial plan zonation in rock fall prone areas. Research method applies hazard, vulnerability and risk analysis as an input for spatial modeling using Multi Criteria Evaluation (MCE). Research reveals that in Girimulyo is susceptible towards rock fall. In the last decades, there were 16 occurrences of rock fall that impacted to physical damages. Fortunately, such disaster did not cause any harm to human life. Therefore, research argue that physical vulnerability analysis can be analyzed, while social vulnerability cannot be analyzed further, since it had less data support. According to the research, there are more than 48 housing units located in hazard zone. Hence, local government should initiate structural mitigation to avoid further loss. Research also reveals that areas with high susceptibility will not directly consider as high risk zone, unless it has high vulnerability index. Example: areas along escarpment, where it has high susceptibility, but it has no element at risk in the area. Thereby, research tries to present zonation for prone hazard areas, using risk index. The result is quite representative, since possible areas to be developed is anywhere alongside road network. Indication of the area is produced from the multi criteria analysis. Multi criteria analysis is an essential method to combine spatial data and its attribute. Using such method requires more data input and expertise in justifying indicator to be selected.