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2004 High risk Low 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
2005 Final project, co-author Land Use Directives  Based on Main Drainages Capacity 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
2006 Project, assistant Integrated Master Plan of  Bandung Metropolitan Area Indonesia 4 Municipalities; Kabupaten Bandung  Kota Bandung Kota Cimahi Kabupaten 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
2008 Thesis to obtained Master degree GIS – DM* procedure;  Case study; West Bandung area Indonesia * 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)
2008 Geostatistic, course work Comparing various kriging methods for 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
2010 Université Catholique de Louvain Louvain 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]
2011 Université Catholique de Louvain Louvain 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]

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Portofolio AGUNG WAHYUDI

  • 1. 2004 High risk Low 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
  • 2. 2005 Final project, co-author Land Use Directives Based on Main Drainages Capacity 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
  • 3. 2006 Project, assistant Integrated Master Plan of Bandung Metropolitan Area Indonesia 4 Municipalities; Kabupaten Bandung Kota Bandung Kota Cimahi Kabupaten 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
  • 4. 2008 Thesis to obtained Master degree GIS – DM* procedure; Case study; West Bandung area Indonesia * 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)
  • 5. 2008 Geostatistic, course work Comparing various kriging methods for 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
  • 6. 2010 Université Catholique de Louvain Louvain 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]
  • 7. 2011 Université Catholique de Louvain Louvain 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]