Penerapan Metode Fuzzy Tsukamoto untuk Mengidentifikasi Banjir Berdasarkan Curah Hujan dan Suhu di Kota Balikpapan pada Tahun 2015 sampai 2019

Specta Pub Date : 2021-04-23 DOI:10.35718/SPECTA.V5I2.238
Riana Sulistyowati, Nashrul Millah
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Abstract

Flooding occurred in several areas in Balikpapan is still a big issue. Floods that occurred in several places in Balikpapan were basically caused by the unavailability of trenches and places to drain rainwater. This causes rainwater going straight down the road and creating a puddle. One way to anticipate the occurrence of floods is to know the conditions that trigger floods, which are rainfall and air temperature. For this reason, it is a necessary to create a classification system for the level of rainfall and air temperature that affect flooding. The method that can be used for this problem is fuzzy logic, specifically the Tsukamoto method. Tsukamoto method of fuzzy logic is one of the most frequently used methods for prediction. Therefore, method can be used to identify floods. Input variables used in this study are rainfall and temperature, while the output variable is flood or not flood.
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使用模糊的Tsukamoto方法,根据2015年至2019年巴利克帕潘市的降雨和温度来确定洪水
巴厘巴潘几个地区发生的洪水仍然是一个大问题。巴厘巴盘几个地方发生的洪水基本上是由于没有沟渠和排水场所造成的。这导致雨水直接沿着道路流下,形成一个水坑。预测洪水发生的一种方法是了解引发洪水的条件,即降雨量和气温。因此,有必要建立影响洪水的降雨和气温等级制度。可以用来解决这个问题的方法是模糊逻辑,具体来说是冢本法。模糊逻辑冢本方法是最常用的预测方法之一。因此,该方法可以用于洪水的识别。本研究使用的输入变量是降雨和温度,输出变量是洪水或不洪水。
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