Open AccessA Fuzzy Decision in Volcano Warning System Forecast
Author(s) -
A. S. Ichwanda,
Hamidan Irham,
Ikah N. P. Permanasari,
Maria Evita,
W. Srigutomo,
Irwan Meilano,
Ahmad Bagus Setiawan,
Wiwit Suryanto,
Wahyudi Wahyudi,
Imam Suyanto,
Herlan Darmawan,
Mohammad Yasin,
Retna Apsari,
Irzaman Irzaman,
. Perdinan,
Hario Biyanesha Putra,
Nina Siti Aminah,
Mitra Djamal
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/830/1/012031
Subject(s) - volcano , fuzzy logic , warning system , real time computing , computer science , meteorology , environmental science , seismology , artificial intelligence , geology , geography , telecommunications
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, SO 2 , CO 2 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.