Ria Rahmadhani, Alif, Prasetyo, Angga and Masykur, Fauzan (2022) ALAT PENDETEKSI BANJIR DI SUNGAI BERBASIS IOT DENGAN MENGGUNAKAN METODE FUZZY. Skripsi (S1) thesis, Universitas Muhammadiyah Ponorogo.
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Abstract
Monitoring of water discharge during the rainy season around the watershed is one way to avoid flood disasters, currently monitoring is still using a stay alone warning system where the tool still needs direct supervision and is not spread out at several points, for this reason, a collaborative internet of things integration is needed. with fuzzy logic. So that the tool can be automated optimally. The application of the multi-node sensor for early flood warnings with an integrated fuzzy internet of things method, from the test results obtained how to transfer information to the public is through this device as well as through the LCD display. Based on the design of the multi node flood early warning tool, fuzzy integration is read by water flow and ultrasonic transducers through crisp input, then processed through a fuzzyfication process with fuzzy rules output and defuzzification calculations are carried out to produce the required crisp value output. Based on the results of the testing, the method of implementing the sensor to nodemcu8266 is through several pins of the two sensors to I/O.
| Item Type: | Thesis (Skripsi (S1)) |
|---|---|
| Uncontrolled Keywords: | internet of things, Banjir, Metode Fuzzy, nodemcu8266. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering |
| Depositing User: | ft . userft |
| Date Deposited: | 11 Aug 2022 02:02 |
| Last Modified: | 11 Aug 2022 02:02 |
| URI: | http://eprints.umpo.ac.id/id/eprint/9375 |
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