Syarifah, Wardatus (2018) Perbandingan Kalman Filter dan Ensemble Kalman Filter untuk Estimasi Penyebaran Api pada Kebakaran Hutan. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kebakaran merupakan salah satu bencana yang banyak terjadi di dunia, misalnya pada hutan, sehingga menyebabkan populasi hutan semakin berkurang. Kebakaran tidak hanya menyebabkan kerugian berupa materi, tetapi juga menyebabkan korban jiwa dan luka-luka. Pada penelitian ini menerapkan metode Kalman Filter dan Ensemble Kalman Filter untuk mengestimasi penyebaran api pada kebakaran hutan. Model penyebaran api didiskritkan menggunakan metode beda hingga. Selanjutnya menerapkan metode Kalman Filter dan Ensemble Kalman Filter pada model yang telah didiskritkan. Kemudian dilakukan simulasi menggunakan software. Hasil simulasi yang diperoleh menunjukkan bahwa Ensemble Kalman Filter tidak lebih baik daripada Kalman Filter, dimana nilai RMSE dari Ensemble Kalman Filter sedikit lebih besar daripada Kalman Filter.
============ Wildfire is one of the most disastrous disasters in the world, for example in forests, causing forest populations to decline. Fire not only causes material harm, but also causes deaths and injuries. In this research apply Kalman Filter and Ensemble Kalman Filter method to estimate fire spread on forest fire. The fire spread model is discriminated using a difference method. Next apply the Kalman Filter and Ensemble Kalman Filter methods. After that done simulation using software. The simulation results obtained show that Ensemble Kalman Filter is no better than Kalman Filter, where the RMSE value of Ensemble Kalman Filter is slightly larger than Kalman Filter.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | RTMa 519.544 Sya p |
| Uncontrolled Keywords: | Ensemble Kalman Filter; Kalman Filter; Metode Beda Hingga; Model Kebakaran Hutan; Forest Wildfire Model; Finite Difference Method; Kalman Filter; Ensemble Kalman Filter. |
| Subjects: | Q Science > QA Mathematics > QA402.3 Kalman filtering. S Agriculture > SD Forestry > SD387.F52 Fire management |
| Divisions: | Faculty of Mathematics, Computation, and Data Science > Mathematics > 44101-(S2) Master Thesis |
| Depositing User: | Syarifah Wardatus |
| Date Deposited: | 18 Apr 2018 06:05 |
| Last Modified: | 18 Sep 2020 06:54 |
| URI: | http://repository.its.ac.id/id/eprint/50878 |
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