Penerapan Fuzzy Inference System Pada Prediksi Curah Hujan Di Surabaya Utara

Navianti, Dynes Rizky (2012) Penerapan Fuzzy Inference System Pada Prediksi Curah Hujan Di Surabaya Utara. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Musim penghujan yang terjadi di Indonesia antara bulan Oktober hingga April dengan puncak curah hujan tertinggi di bulan Desember. Di sisi lain terdapat kemungkinan terjadinya perubahan cuaca bahkan penyimpangan iklim. Hal tersebut ditandai dengan berubahnya puncak curah hujan. Jika kondisi tersebut diabaikan, maka dapat mengakibatkan banjir di beberapa kota khususnya Surabaya bagian utara. Hal ini disebabkan karena daerah utara merupakan aktivitas perdagangan dan kurang efektifnya manajemen banjir oleh pihak terkait. Hal tersebut perlu penanganan khusus, hingga curah hujan diprediksikan dengan menerapkan metode Fuzzy Inference System. Penelitian ini menggunakan enam variabel yang mempengaruhi terjadinya hujan berupa suhu udara, kelembaban relatif, kecepatan angin, tekanan udara, total lapisan awan, dan lama penyinaran matahari. Dalam hal ini digunakan keakuratan untuk memverifikasi hasi/ prediksi curah hujan, yaitu Brier Score. Hasil yang didapat dari penelitian Tugas Akhir ini diperoleh keakuratan prediksi curah hujan sebesar 77,68% dari sebelas kali percobaan
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The rainy season in Indonesia occurs between October and April, with peak rainfall in December. On the other hand, there is the possibility of weather changes and even climate deviations. This is indicated by changes in the peak rainfall. If this condition is ignored, it can cause flooding in several cities, especially in northern Surabaya. This is due to the northern region being a hub for commercial activity and the ineffectiveness of flood management by relevant parties. This requires special handling, so that rainfall can be predicted using the Fuzzy Inference System method. This study used six variables that influence rainfall: air temperature, relative humidity, wind speed, air pressure, total cloud cover, and duration of sunshine. In this case, accuracy was used to verify the results/predictions of rainfall, namely the Brier Score. The results obtained from this Final Project research obtained an accuracy of 77.68% in rainfall predictions from eleven trials

Item Type:	Thesis (Other)
Additional Information:	RSMa 511.313 Nav p-1 2012 (weding)
Uncontrolled Keywords:	Prediksi Curah Hujan, Fuzzy Inference System, Logika Fuzzy; Rainfall Forecast, Fuzzy Inference System, Fuzzy Logic
Subjects:	Q Science > QA Mathematics > QA39.3 Fuzzy mathematics Q Science > QC Physics > QC925 Rain and rainfall
Divisions:	Faculty of Mathematics and Science > Mathematics > 44201-(S1) Undergraduate Thesis
Depositing User:	EKO BUDI RAHARJO
Date Deposited:	18 Sep 2025 02:19
Last Modified:	18 Sep 2025 02:19
URI:	http://repository.its.ac.id/id/eprint/128291

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