Scroll to top

Spatial System Center

About

The Spatial System Center (SSC) is part of RDI which mainly focuses on spatial data collection, management, analysis, and visualization for supporting all research cluster in RDI. With wide range of research area, it is very possible to elaborate the understanding about resilience, disaster risk management, and urban development.

SSC also accommodates collaborations among researchers and stakeholders across institutions and multidiscipline, not only related to GIS technology and urban development, but social and economy as well.

SSC is a hub that creates links between expertise and it is meant to be a station for experts and enthusiasts of GIS technology in developing effective application of GIS technology for decision making processes.

Related Research
  • Disaster Risk and Social Vulnerability Assessment and Analysis in Cianjur District.
  • Land use and flooding simulation in Palembang City.
  • Spatial data infrastructure in Cianjur District.
  • Analysis of flood physical vulnerability in residential areas, Case study: Naga City, The Philippines.
  • Assessment of Regional Disaster Resilience by Using Social Vulnerability Index.
  • Risk Assessment of Papandayan Volcanic Disaster.
  • Mitigation Scenarios for Residential Fires in Densely Populated Urban Settlements in Sukahaji Village, Bandung City.
  • Spatial Analysis of Open Space Availability for Evacuation after Earthquake Aftershock in Densed Settlements.
Current Publications
  • Kharisma, I., Sagala, S. (2017) Implementation of Spatial Data Infrastructure in Cianjur District for Disaster Risk Management Purposes. 1st UPI International Geography Seminar 2017. | Download
  • Sagala, S., Adhitama, P., Sianturi, D and Al Faruq, U. (2016) Mitigation Scenarios for Residential Fires in Densely Populated Urban Settlements in Sukahaji Village, Bandung City, Geoplanning: Journal of Geomatics and Planning.
  • Sagala, S. and Saraswati, S. (2013) Analisis Spasial Ketersediaan Ruang Terbuka Publik pada Permukiman Padat untuk Evakuasi pada Gempa Susulan (Spatial Analysis of Open Space Availability for Evacuation after Earthquake Aftershock in Densed Settlements), Jurnal Forum Geografi. Vol 27 No 2. December 2013
  • Sagala, S., Sengara, I., Suarjana, M., Pribadi, K. Yasaditama, H. and Mariany, A. (2012): Reducing Fatality Risks to Earthquake with Spatial Planning: Case study of Bandung City, in edited book by Anwar, H. (LIPI)
  • Sagala, S. and Yasaditama, H. (2012) Analisis Risiko Bencana Gunung Api Papandayan (Risk Assessment of Papandayan Volcanic Disaster), Jurnal Forum Geografi Universitas Muhammadiyah Surakarta, Vol 26(1) (terakreditasi nasional)
  • Utami, P., Sagala, S. and Mariany, A. (2009), Assessment of Regional Disaster Resilience by Using Social Vulnerability Index, International Conference on Regional Development, Environment and Infrastructures “Trend, Issues and Challenges Confronting Regional Development, Infrastructure and Environment in Developing Countries” 18th-19th of June, 2009, Institute of Technology Bandung, Indonesia.
  • Sagala, S. (2007) GIS Based Rapid Assessment for Flood Physical Vulnerability in Naga City, the Philippines, Poster Presentation for Development Cooperation Prize Winners, Royal Museum for Central Africa, Tervuren, Belgium
Risk Analysis

Analyse the situations in particular area both the vulnerability and the risks has never been easier. Using encapsulated tools that created for doing those tasks, made data visualisation became more attractive and informative. The maps show the final product of data analysis of social vulnerability and disaster risk in Cianjur Districts.

Land Use Simulation

Predicting the use of lands in Gandus District, west part of Palembang City, using computer simulation and applying Cellular Automata (CA) method and rules. The impact of land use not only affecting the economic and socials matters, but the natural condition as well. Some simulation also asses the current state of Gandus District so that the flood vulnerability can be predicted with various defined parameters, it is really useful to predict the impact natural conditions in the future.



Research Topic

  • Risk Analysis
  • Land Use Simulation
  • Network Analysis
  • Smart City
  • Big Data / Crowdsourcing
  • Data Collection Tools
  • ICT4D:Information Communication Technology for Disaster
  • Cluster Chair