Martanto
Hi, my name is Martanto, but you can call me Anto. I work at PVMBG as a Data Scientist specializing in volcanic seismology, focusing on seismic data analysis and developing machine learning methods to improve volcanic monitoring. I am currently pursuing a doctoral program in Geosciences at Université Libre de Bruxelles, Belgium. My research is titled "Toward Forecasting Eruptions at Indonesian Volcanoes Using Machine Learning on Volcanic Seismic Data."
Session
As a country located between the world's three main tectonic plates, Indonesia is the country with the most active volcanoes in the world (127 volcanoes) However, out of 127 volcanoes, only 69 volcanoes are monitored by the Center for Volcanology and Geological Hazard Mitigation (PVMBG/CVGHM). In conducting volcano monitoring, seismic methods are used as the main method to determine whether volcanic activity is increasing or decreasing. The large number of monitoring instruments, resulting in the increase of monitoring data, so technological assistance is needed to speed up the data processing process and help in providing quick and accurate analysis. Python is used as one of the tools in the processing of volcanic seismic data. This process includes data quality control, normalization, validation, processing, databases, information dissemination, and an early warning system for the community and volcano stakeholders. Python in volcanoes is also not only used as a tool to monitor volcanic activity, but also used for research and development of volcano monitoring methods, including the use of machine learning for volcanic disaster mitigation. Ptyhon can help save people from volcanic eruption disasters.