Elsa Daliah, - (2024) ANALISIS METODE FUZZY MAMDANI UNTUK DAERAH RENTAN BANJIR DI KAWASAN SUB DAS CISANGKUY ANALYSIS OF FUZZY MAMDANI METHOD FOR FLOOD-PRONE AREAS IN THE UPPER REACHES OF THE CITARUM RIVER. S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Sub DAS Cisangkuy yang berada di sungai Citarum merupakan sungai terpanjang di Jawa Barat dengan luas sebesar 35.306 Ha dan panjang sungai utama 51.14 Km yang bermuara di sungai Citarum memiliki peran penting bagi kehidupan masyarakat sekitarnya. Seiring berjalannya waktu, sungai Cisangkuy mengalami berbagai masalah yang diakibatkan oleh perubahan tata guna lahan seperti permukiman, pertanian dan hutan yang menyebabkan terjadinya banjir dan pencemaran lingkungan. Penelitian ini memiliki tujuan untuk menganalisis daerah rentan banjir di wilayah Sub DAS Cisangkuy yang bermuara di sungai Citarum menggunakan metode Fuzzy mamdani dan HEC-RAS sebagai pemodelan simulasi banjir. Metode Fuzzy Mamdani merupakan bagian dari logika Fuzzy, digunakan untuk memprediksi kerentanan banjir berdasarkan data curah hujan harian, kepadatan penduduk dan output data yang di hasilkan oleh software HEC-RAS. Selanjutnya, pemodelan HEC-RAS diterapkan untuk validasi prediksi daerah rentan banjir dengan membuat pemodelan simulasi banjir. Berdasarkan hasil penelitian ini, menunjukkan terdapat 6 Sub-basin yang termasuk kedalam kategori rentan banjir, yang menunjukkan bahwa nilai rata –rata kerentanan yang didapatkan pada metode Fuzzy Mamdani yaitu 33,33%, dengan presentase permukiman (21,80%), semak/pertanian (39,23%) dan sawah/hutan (38,97%) sedangkan berdasarkan SNI 8197:2015 nilai rata – rata kerentanan yaitu 82,50%, dengan kelas kerawanan dan presentase yaitu menengah pada permukiman (100%), semak/pertanian (82,50%) dan sawah/hutan (65%). Maka, berdasarkan presentase yang dapat dikatakan bahwa metode fuzzy mamdani berdasarkan MATLAB tidak efektif dalam menentukan kerentanan. The Cisangkuy sub-watershed located in the Citarum river, which is the longest river in West Java with an area of 35,306 Ha and a main river length of 51.14 Km that empties into the Citarum river, has an important role for the lives of the surrounding communities. Over time, the Cisangkuy River has experienced various problems caused by changes in land use such as settlements, agriculture and forests that cause flooding and environmental pollution. This research aims to analyze flood-prone areas in the Cisangkuy Subwatershed which empties into the Citarum River using the Fuzzy Mamdani method and HEC-RAS as a flood simulation model. Fuzzy Mamdani method is part of Fuzzy logic, used to predict flood vulnerability based on daily rainfall data, population density and output data generated by HEC-RAS software. Furthermore, HEC-RAS modeling is applied to validate the prediction of flood vulnerable areas by making flood simulation modeling. Based on the results of this study, it shows that there are 6 sub-basins that are included in the flood-prone category, which shows that the average value of vulnerability obtained in the Fuzzy Mamdani method is 33.33%, with a percentage of settlements (21.80%), shrubs / agriculture (39.23%) and rice fields / forests (38.97%) while based on SNI 8197: 2015 the average value of vulnerability is 82.50%, with a vulnerability class and percentage of medium in settlements (100%), shrubs / agriculture (82.50%) and rice fields / forests (65%). So, based on the percentage it can be said that the fuzzy mamdani method based on MATLAB is not effective in determining vulnerability.
Item Type: | Thesis (S1) |
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Additional Information: | ID Sinta Dosen Pembimbing: Odih Supratman: 0009086205 |
Uncontrolled Keywords: | Fuzzy Mamdani, Rentan banjir, Logika fuzzy, HEC-RAS, MATLAB Fuzzy Mamdani, Flood prone, Fuzzy logic, HEC-RAS, MATLAB |
Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Fakultas Pendidikan Teknik dan Industri > Jurusan Pendidikan Teknik Sipil > Program Studi Teknik Sipil |
Depositing User: | Elsa Daliah |
Date Deposited: | 23 Oct 2024 06:52 |
Last Modified: | 23 Oct 2024 06:52 |
URI: | http://repository.upi.edu/id/eprint/127375 |
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