IPB University once again presents data-based innovation to support the prevention of forest and land fires (karhutla) through the OLAP Hotspot Forest and Land Fire System.
This innovation, which was selected as one of the 117 Indonesian Innovations-2025 by the Business Innovation Center (BIC), was developed as a tool to analyze historical hotspot data based on time, location, and hotspot confidence levels. Hotspot data summaries and trends are needed to predict the potential for forest and land fires.
This system utilizes online analytical processing (OLAP) technology, which is data analysis technology combined with spatial data management. This innovation complements the Forest and Land Fire Monitoring System (SiPongi+), a prevention system owned by the Ministry of Forestry with more in depth data analysis capabilities.
Through the use of OLAP technology, the system allows users to flexibly search and analyze historical hotspot data based on location, time, and specific parameters.
“We developed this innovation to help policymakers understand the patterns and trends of forest and land fire hotspots,” said Prof Imas Sukaesih Sitanggang, chairperson of the research team.
The Professor of Computer Science at the School of Data Science, Mathematics, and Informatics (SSMI) at IPB University explained that the availability of data alone is not enough if it is not processed into information that is useful to users.
OLAP technology enables dynamic drill-down and roll-up data processes, so that analysis can be carried out from the national level down to the village level.
Another advantage is its ability to integrate historical and current data, so that it can be used for trend analysis and potential karhutla incidents.
Prof Imas hopes that this OLAP Forest Fire Hotspot system can strengthen the early warning system for forest fires in Indonesia and support more targeted and sustainable prevention efforts.
With its analytical approach and interactive visualization, this innovation is expected to support more effective karhutla prevention. (Lp) (IAAS/LAN)
