
Internet of things for flood and landslide early warning
Author(s) -
Eddy Soeryanto Soegoto,
Fahmi Ahmad Fauzi,
Senny Luckyardi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1764/1/012190
Subject(s) - landslide , tourism , flood myth , natural disaster , anticipation (artificial intelligence) , geography , agency (philosophy) , emergency management , warning system , environmental planning , the internet , business , environmental resource management , cartography , political science , computer science , engineering , environmental science , meteorology , sociology , telecommunications , social science , geotechnical engineering , archaeology , artificial intelligence , law , world wide web
The purpose of this study is to improve the use of technology for the occurrence of a disaster as a form of anticipation in a disaster-prone area and tourist area. The method used in this research was a descriptive research method where the data obtained from events that occur in a particular region. The results of this study indicate that technological innovation is needed to monitor floods and landslides because based on the data from National Disaster Management Agency (BNPB) on the occurrence of disasters in Indonesia. There are still many areas that prone to natural disasters especially floods and landslides. The important role of the technology is to increase the level of confidence and security of tourists towards the potential for a disaster that occurs and can improve the tourism industry economy.