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works i've been done
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2004
High riskLow risk
Final project bachelor
Identification of Urban Fire Risk Index; case study Bandung, Indonesia
BACKGROUND: Bandung region has high number of fire accident, yet it has only one fire station.
AIM: Prior to determine the location of fire station, areas susceptible with fire should be identified. This study aimed to determine fire risk in urban city of Bandung.
METHOD: Risk = Vulnerability - Safety
TOOL: Geoprocessing tools ArcView 3.14, MsExcel
2005Final project, co-author
Land Use Directives Based on Main DrainagesCapacity
Gedebage Industrial park,Indonesia
BACKGROUND: Gedebage continues to experience yearly flooding due to urban pressure, while according to master plan, it is appointed as a future main industrial zone in the region.
AIM: To determine the building floor areas aimed to support large areas for precipitation infiltration.
METHOD: Calculate the required areas for industrial zone and compared with the drainage capacity support in the industrial defined area.
TOOL: Geoprocessing tools ArcView 3.14, MsExcel
2006Project, assistant
Integrated Master Plan of Bandung Metropolitan AreaIndonesia
4 Municipalities;Kabupaten Bandung Kota BandungKota CimahiKabupaten Sumedang
BACKGROUND: Metropolitan Bandung needed a new master plan to accommodate the population density as well as the economical pressure.
AIM: to capture current urban expansion followed by analysis new spatial directives.
METHOD: Delineate spatial growth stadium by land use and land cover interpretation.
TOOL: Spatial analyst on ModelBuilder ArcView 9, MsExcel
2008Thesis to obtained Master degree
GIS – DM* procedure;
Case study; West Bandung areaIndonesia
* Decision making
BACKGROUND: Following the methane explosion on landfill, Bandung Barat region needed a new sanitary landfill.
AIM: to determine landfill allocation based on three different scenarios.
METHOD: Multi-Criteria Decision Making.
TOOL: Spatial analyst on ModelBuilder ArcView 9, and IDRISI (MOPLA plug-in)
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2008Geostatistic, course work
Comparing various kriging methodsfor mineral quantification
Zura dataset, Swiss
BACKGROUND: Geostatistics course.
AIM: To extensively estimate metal concentration (Zinc) using point sample locations.
METHOD: Sample kriging, ordinary Kriging, Simple Kriging with linear mean.
TOOL: GSLib, variowin, Surfer
2010Université Catholique de LouvainLouvain la Neuve, Belgium
Rank method
Tree cores, Liberec, Czech Republic
BACKGROUND: Current sampling methods are expensive, whereas non-invasive methods seems promising to identified the plume.
AIM: To monitor Chloro Ethene plume at least by minimal invasive method using tree core.
METHOD: Rank data transformation and ordinary kriging.
TOOL: Matlab BMELib
[no image available as it still in the writing stage]
2011Université Catholique de LouvainLouvain la Neuve, Belgium
Maximum Entropy
Bioassays, Liepzig, Zeitz, Germany
BACKGROUND: Current sampling methods are expensive, whereas non-invasive methods seems promising to identified the plume.
AIM: To monitor Chloro Ethene plume at least by minimal invasive method using bioassay eg: fish embryos and luminescence bacteria.
METHOD: Maximum Entropy and ordinary kriging.
TOOL: Matlab BMELib
[no image available as it still in the writing stage]