Tsunami Potential Prediction with Artificial Neural Network

Natural disasters are caused by biological factors such as earthquakes, tsunamis, and landslides. One of the destructive natural disasters that can cause considerable losses in terms of casualties and the economy is the tsunami. A tsunami is a series of tall or long waves in shallow seas. Various tsunami triggers include earthquakes, volcanic activity, and underwater landslides. This study aims to predict tsunamis with an Artificial Neural Network, which is a part of Machine Learning. Artificial Neural Network (ANN) is a model that has the same characteristics as biological neural networks. The process resembles the work of a neural network, which processes incoming information through neurons—using Multi-Layer Perceptron with five input parameters, two hidden layers, and one output. The ANN model can predict a tsunami potential in a country by 81%.</jats:p

KARAKTER SPASIAL KORIDOR JALAN KAWASAN KAMPUS DALAM KONTEKS URBAN DESIGN DAN PERILAKU

UNSRI Bukit Besar has become a core area for decades that have a direct impact on the surrounding area, especially to the city's physical, economic, and social communities. The development and improvement of economic and social have triggered physical changes some urban elements that exist in the road corridor. The influence of this effect has some consequences for conflicts of interest in the use of road space. This research was conducted qualitatively by observing changes due to the existence UNSRI urban elements, which has occurred on the road corridors that restrict direct Campus Region. Mapping had been done to look at the physical condition that occurs when the lecture and after lecture and compare the results with theory and regulations. The results of this study as a reference in the control and development of the area as a result of the existence of  Campus of UNSRI Bukit Besar.</jats:p