Post-disaster sector damage data is data that has features or criteria in each case the level
of damage to the post-natural disaster sector data. These criteria data are building …

Climate change has significantly increased the risks associated with urban flooding.
However, most research on flood risk assessment focuses on large-scale climate changes …

Penelitian ini bertujuan untuk mengembangkan model prediksi risiko banjir menggunakan
algoritma XGBoost dengan memanfaatkan dataset yang tersedia di Kaggle. Dataset …

Indonesia has two seasons, namely the dry season and the rainy season. Floods occupy the
first position in the sequence of natural disasters with a total of 1,067 floods in Indonesia …

Floods during the rainy season are still a polemic for Indonesia because disaster create
various losses and fatalities. Although, drainage development, green environment and …

Smart Assessment System Sector Damage (SASSD) is an intelligent system for assessing
the level of sector damage after natural disasters based on Machine Learning (ML) by …

Flood is one of the disaster phenomenon that causes damage to living things and the
environment. In Indonesia floods disaster increase year to year. There are many causes of …

Flooding is a difficult and common hazard in Indonesia, particularly in Jakarta during the
rainy season. Floods have been the subject of several endeavours, ranging from …

Kerentanan Bojonegoro terhadap bencana alam banjir menyebabkan pemerintah Daerah
perlu berperan aktif dalam melindungi masyarakatnya. Untuk menangani penanggulangan …

Flooding is a key problem in Indonesia, but it's often difficult to find reliable data to serve as
inputs to predict floods. In this paper, we provide a proof-of-concept automated system for …