Ichwanda, A.S. and Irham, H. and Permanasari, Ikah N. P. and Evita, M. and Srigutomo, W. and Meilano, I. and Setiawan, A. and Suryanto, W. and Wahyudi, Wahyudi and Suyanto, I. and Darmawan, H. and Yasin, M. and Apsari, R. and Irzaman, Irzaman and Perdinan, Perdinan and Putra, H. and Aminah, N.S. and Djamal, M. (2021) A Fuzzy Decision in Volcano Warning System Forecast. In: International Conference on Science, Infrastructure Technology and Regional Development, 23-25 October 2020, South Lampung.
Full text not available from this repository. (Request a copy)Abstract
The volcanic warning system in Indonesia is divided into four levels namely normal, waspada, siaga and awas. Based on the setting above, a study is needed to design a volcanic activity forecast system using temperature sensors, SO2, CO2 concentration, as well as vibration. The formulation of determining the conditions of volcanic activity is carried out by using fuzzy logic. Volcanic activity measurements are carried out in real time and continuously. Fuzzy logic has been used in the process of determining alert level of volcanic activity based on measured parameters. There are 53 fuzzy rules to determine volcano activity. Best predictions come from the combination of all sensors into a volcano monitoring and forecast system. © Published under licence by IOP Publishing Ltd.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Cited by: 0; All Open Access, Gold Open Access |
| Subjects: | Q Science > QC Physics |
| Divisions: | Faculty of Mathematics and Natural Sciences > Physics Department |
| Depositing User: | Sri JUNANDI |
| Date Deposited: | 04 Oct 2024 06:27 |
| Last Modified: | 04 Oct 2024 06:27 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/3959 |
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