PROFILE OF TSUNAMI EARLY WARNING SYSTEM FOR DISABILITIES: A MANIFESTATION OF THE INDONESIAN’S NATIONAL CONGRESS IN DISASTER MANAGEMENT

Abstract

The advancement of technology is projected to result in the creation of efficient tsunami detection early warning systems to aid individuals, especially those disabilities-friendly, in raising their consciousness and preparing for the worst-case disaster scenarios before they occur. This qualitative descriptive study uses data-gathering procedures based on the library research method. The numerous TEWS has been developed as an effort to recover, rehabilitate, and reconstruct and are carried out in such a way as to anticipate and prepare residents to be more alert and alert to the occurrence of tsunami. IoT based on IMU devices can be utilized as TEWS sensors with minimum limitation. IDSL information concerning elevation is highly correlated with the BIG forecast information. The Android-based received a response time of fewer than five seconds to start receiving with retrieving the tsunami and earthquake data. In conclusion, the EWS needs to be developed along with professional sign- language translators in all catastrophe knowledge as required by the National Regulation on the fundamental rights of individuals with disabilities as part of disclosing information for deaf citizens. Hence, recommendations for further research are needed to develop the TEWS integrated with VBEWS, ViBEWS, ViSEWS, and sign language.

Keywords

• disabilities
• sign language
• tsunami
• warning systems