No abstract

After the 2018 Lombok earthquakes, buildings within the Engineering Faculty of the University of Mataram (FT Unram), were severely damaged and there have been no comprehensive treatments. Facilities to support earthquake mitigation, such as signs for evacuation routes and assembly points (temporary evacuation sites), are still minimal, and even if they are available many of them are not designed and placed properly. Some parts of the buildings have been partially renovated, meanwhile, there are new buildings constructions that have not been investigated related to disaster mitigation. Anticipating the re-occurrence of big earthquakes in Lombok, it is very necessary to carry out activities for implementing earthquake mitigation at FT Unram. The activities are divided into three stages, namely first: conducting direct reviews for inventory and documentation of all vulnerable points, followed by making of maps and building plans; second: determining the proper locations of assembly points, creating labels and signs for evacuation routes and assembly points, and making tutorial videos on safety instructions; third: socialization to the policymakers (Faculties and Department’s officials), and outreach as well as evacuation drill for all academic communities. The expected output of these activities is increasing of understanding and skills of the academic community in conducting disaster mitigation at their workplaces and application of technology as well as recommendations for disaster risk reduction policies at the faculty and university level.

In this study, we performed research on electromagnetic anomalies related to earthquakes as early signs (precursors) that occurred in Fukushima, Japan on February 13th, 2021. The research focused on the utilization of geomagnetic field data which was derived from the Kakioka (KAK), Kanoya (KNY), and Memambetsu (MMB) observatories, particularly in the ultra-low frequency (ULF) to detect earthquake precursors. The method of electromagnetic data processing was conducted by applying a polarization ratio. In addition, we improved the methodology by splitting the ULF data (which ranged from 0.01-0.1 Hz) into 9 central frequencies and picking up the highest value from each central frequency to get the polarization ratio. The anomaly of magnetic polarization was identified 2-3 weeks before the mainshock in a narrowband frequency in the range of 0.04-0.05 Hz.