Yulianto, Muhammad Rizal Dwi (2024) Klasifikasi Sinyal Seismik dengan menggunakan Short-Term Average/Long-Term Average (STA/LTA) dan Support Vector Machine (SVM). (Classification of Seismic Signals Using Short-Term Average/Long-Term Average (STA/LTA) and Support Vector Machine (SVM)). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.
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Abstract
Early detection of earthquakes is important, especially in areas that are vulnerable to seismic activity, such as volcanoes. Research on early earthquake detection has grown rapidly, but most of this research has focused on one particular analysis method. Therefore, this research was conducted to combine two methods, STA/LTA and SVM, in the context of seismic signal classification, especially those originating from volcanoes. The aim of this research is the Short-Term Average/Long-Term Average (STA/LTA) algorithm in processing seismic signal data and the Support Vector Machine (SVM) algorithm in classifying seismic signals. The methodological steps involve collecting seismic data from volcanoes in Indonesia, processing the data, and dividing the data into training and test sets. The implementation of the SVM method was carried out on both data sets, with evaluation and classification results. It is hoped that this research can make a significant contribution to the development of an early detection system that is more sophisticated and has proven its reliability. It is hoped that a better understanding of seismic phenomena can guide the development of technology capable of identifying and classifying seismic signals with a high degree of accuracy.
| Item Type: | Thesis (Undergraduate) |
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| Uncontrolled Keywords: | seismic detection, volcano, STA/LTA, SVM. |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Fakultas Teknik > Program Studi Teknik Informatika |
| Depositing User: | 1462000013 Muhammad Rizal Dwi Yulianto |
| Date Deposited: | 05 Sep 2001 19:03 |
| Last Modified: | 04 Oct 2001 17:52 |
| URI: | http://repository.untag-sby.ac.id/id/eprint/33154 |
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