Mardhani Riasetiawan
Universitas Gadjah Mada, Yogyakarta, Indonesia
Abstract. An early detection approach for landslides has been implemented with the application of appropriate technology G-Connect + by installing sensors to detect soil and environmental movements in this case temperature, humidity and others. Community Service Activities are still needed and can be optimised by developing for surveillance purposes by using the available tools as a health data collection site. This becomes the initial pilot for later after the data is collected, can be managed as a Data Bank or Big Data in the area of epidemiology of diseases in disaster areas in Indonesia, which then in the next stage can be developed into specific analyses of epidemic and parasitic events that occur in disasterareas .The proposed Community Service focuses on epidemiological data collection in disaster areas by optimising the EWS G-Connect, coupled with the implementation of the Open Data Kit (ODK) and other supporting activities to collect data comprehensively. The activity will begin by conducting field observations at the location of potential disasters, documenting the types of disasters, conducting observations and interviews about endemic events in the past, and then analysing them for the purposes of profiling disaster endemic areas. The next step is to collect data by collecting the required samples and taking notes on the management system that has been prepared previously. The results will be in the form of profiling endemic data in disaster-prone areas using big data technology. This activity implements a multidisciplinary approach with contributions to the epidemiology of disease data, communicable disease, and big data technology (computer science).
Keywords: Early warning system, community services, landslide, wonogiri
