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The National Research and Innovation Agency (BRIN) has introduced an advanced digital information system called TRIGRS to the local government of Lembang, West Java, as well as to relevant agencies such as the Regional Disaster Management Agency (BPBD), the Public Works Office, and others. This initiative marks a significant leap forward in integrating digital technology into disaster risk management, focusing on utilising data-driven tools to predict and mitigate the risk of landslides.
Adrian Tohari, Head of BRIN’s Research Centre for Geological Disasters (PRKG), underscored the importance of this initiative during the Socialisation and Training of Ground Motion Vulnerability Mapping Modelling Using TRIGRSMap. “This activity is an effort to disseminate the results of research and innovations that our researchers have produced to stakeholders, especially those involved in reducing the risk of landslides.”
Khori Sugianti, Junior Expert Researcher at BRIN’s PRKG, elaborated on the importance of this system in addressing the growing challenge of landslides in Indonesia. “TRIGRS is an application that determines the parameters affecting slope stability, which means the data it generates can be used to assess soil vulnerability in a given area,” she explained. This capability is essential for governments and disaster management agencies tasked with protecting communities from the devastating effects of landslides.
Led by Sugianti, BRIN’s team focuses on researching how increased rainfall affects slope stability using the TRIGRS system. This work is particularly crucial for landslide-prone areas like Lembang, where the team collaborates with local governments to implement the TRIGRS Map and train stakeholders in disaster risk management.
The strength of the TRIGRS system lies in its ability to predict how different rainfall levels can destabilise slopes, transforming previously stable regions into landslide-prone zones. The software uses rainfall data and soil and geological information to predict how an area’s slope stability will change over time. In their fieldwork in Lembang and surrounding areas, the research team found that the TRIGRS model is highly effective in spatially predicting rain-induced slope stability, particularly in regions with a high risk of landslides. Accurate and comprehensive landslide inventory data is crucial for the TRIGRS model to predict landslide risks successfully.
“Landslide inventory data is a factor that greatly influences the success of the TRIGRS model during the validation process. Without this data, it’s difficult to accurately model the risks in a specific region,” said Sugianti.
As a result, BRIN is encouraging collaboration between its researchers and local authorities to ensure the system can be implemented effectively. This collaborative approach is essential to validate the model with real-world data, ensuring that it can serve as a reliable tool for mitigating the risks of landslides in high-risk regions like Lembang.
Anne Hermadianne Adnan, Acting Regional Disaster Management Agency of West Java, noted the significance of this collaboration. “West Java is one of the regions in Indonesia with a high disaster potential. This type of collaborative activity can be a key step in mitigating risks and ensuring that, in the event of a disaster, we can minimise casualties,” she remarked.
Adopting advanced digital tools like TRIGRS and solid local partnerships represents a critical step in Indonesia’s broader strategy to improve disaster resilience across its most vulnerable regions.
