Roni, Putra (2016) Desain Dan Implementasi Peringatan Dini Banjir Menggunakan Data Mining Dengan Wireless Sensor Network. Masters thesis, Universitas Andalas.
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Abstract
The aim of this article is develop a warning system of early flood and weather information. This research was inspired by not stabilize weather condition of Indonesian. It will cause disaster such as flood because of the hight rainfall, as happened in Padang. Batu Busuk is one of the flood-prone area and galodo but there is no information about the weather, rainfall, humidity, temperature and wind speed and direction. The aim of this study is giving weather data and forecast information of the potential flood with variable rainfall, temperature, humidity, wind direction and wind speed which can be access realtime and up to date wherever and whenever via the webpage online. To determine the potential for flooding prediction by used data mining with a method of Alogritma C4.5 its can be result of decision tree. In this study using XBee S2PRO for sender and recipient with mesh topology which consists of a rainfall sensor components, SHT11, wind speed and direction as well as the arduino. Data storage and processing of information using the Raspberry Pi as a mini computer server. The result of sensor SHT11 measurement is a little difference with really measurement such as: 2.09% temperature, relative humidity of 0.15 %, 3.87% wind speed, wind direction and precipitation 0% 6.32%. Meanwhile, the results of experiment in Batu Busuk proved the same weather conditions between EWS tool with the situation in Batu Busuk during the four day, where on March 22, 2016 at 5:35 PM information system Early Warning System (EWS) issued a warning system would be the potential for flood and after it be floded Batu Busuk.
Item Type: | Thesis (Masters) |
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Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Pascasarjana (Tesis) |
Depositing User: | s2 teknik elektro |
Date Deposited: | 26 Jul 2016 07:09 |
Last Modified: | 26 Jul 2016 07:09 |
URI: | http://scholar.unand.ac.id/id/eprint/12663 |
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