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]