Darwin, - (2020) DESIGN AND DETECTION OF EARLY FLOOD DETECTION BASED ON INTERNET OF THINGS (IOT). Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
Indonesia is a country with a tropical climate and an archipelagic region, and has two seasons, namely dry and rainy. These two seasons are distinguished by the high intensity of rainfall, during the dry season the rainfall is low, while during the rainy season the rainfall is high. When the rainy season begins, the threat of flooding also comes. Many areas in Indonesia are prone to flooding. Almost every rainy season comes, some areas are flooded. For this reason, flood warning is needed in order to minimize the loss, both materially and psychologically. Several methods for providing flood warnings have been implemented using communications such as SMS and websites. In this final project, a discussion about flood early warning detection tools using the internet of things and sending information to the Telegram application has been carried out. From the test results using a rain sensor to detect rainy or non-rainy conditions, and ultrasonic sensors to measure the height of the safe, alert, alert, hazard and flood limits with a fairly good reading accuracy, as well as sending information using Telegram messages, for The longest delay for sending warnings takes the fastest 4 seconds and the maximum is 13 seconds. Keywords: Flood Disaster, Early Warning, Ultrasonic Sensor, Internet Of Things
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Uncontrolled Keywords: | Keywords: Flood Disaster, Early Warning, Ultrasonic Sensor, Internet Of Things |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Teknik Elektro |
| Depositing User: | Kaprodi Teknik Elektro |
| Date Deposited: | 07 Oct 2020 00:55 |
| Last Modified: | 07 Oct 2020 00:55 |
| URI: | http://eprints.uty.ac.id/id/eprint/5624 |
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