Implementation of Naive Bayes for selection of green space areas
Nurlela Pandiangan, M L C Buono · IOP Conference Series Earth and Environmental Science · 2019
Abstract City development, population growth, and climate influence triggering a flood disaster. Green open space is one of the alternative flood prevention in urban areas. However, in determining the area of green open space is one of the alternative flood prevention in urban areas. However, in determining the area construction of the green open spaces in urban areas because it has undergone changes in the city, many parameters need to be considered for assessment, a simple way to solve it is by utilizing current technology and using data mining techniques. Data mining is an option that can be used to determine the area of green open space development based on existing data patterns. The Naïve Bayes Algorithm is the algorithm used in this research, the algorithm produces an average accuracy value is 53,94094% and gets the highest accuracy value at a data ratio of 80:20 with an accuracy value is 61%.