@thesis{thesis,
		author={Awlad  Tanwiril},
		title ={Analisis Potensi Kerusakan Akibat Gempa Menggunakan Metode Klasifikasi Bayesian},
		year={2021},
		url={http://repository.unmuhjember.ac.id/10318/},
		abstract={Indonesia is a country with a very high hazard potency. Indonesia has an average tectonic earthquake activity of 6,512 earthquakes per year, 543 earthquakes per month and 18 earthquakes per day. In terms of disaster prevention as described above, it can be done one way is to evaluate the problem is through statistical studies using Bayesian analysis. This study aims to analyze the application of bayesian classification method of earthquake impact in Indonesia and measure the accuracy, recall, and precision of the analysis of the most likely earthquake magnitude in Indonesia using bayesian classification method. The data obtained from BMKG website amounts to 140 data with five kinds of regions in Indonesia that have attributes of earthquake magnitude, earthquake depth, event time, earthquake area, and possible effects. After classifying, the result for Sumatra, Sulawesi, Java, and Nusa Tenggara is potential damage, while for Maluku region is potential damage and damage occurs. For the average accuracy obtained is 78.37394%, the recall value is 78.35334%, and the average precision value obtained is 66.56%.}
		}