Classification of Tsunami Warning Level using Artificial Neural Network and its Comparison in Southern Java Region

• Main Authors: Aldini, Ittaka, Hidayat, Risanuri, Permanasari, Adhistya Erna, Ramdhani, Andri
• Format: Conference or Workshop Item PeerReviewed
• Language: English
• Published: 2022
• Subjects: Electrical and Electronic Engineering; Engineering
• Online Access: https://repository.ugm.ac.id/283334/1/Classification_of_Tsunami_Warning_Level_using_Artificial_Neural_Network_and_its_Comparison_in_Southern_Java_Region.pdf; https://repository.ugm.ac.id/283334/; https://ieeexplore.ieee.org/document/10052907
• Institution: Universitas Gadjah Mada

The southern area of Java Island has a significant potential for tsunami events due to its position close to the ring of fire and the megathrust tsunami potential of its seismic gap study. A tsunami warning based on its category has become a solid standard in Tsunami Community Preparedness for Tsuna...