Forest Management System using iD3 Decision Tree Algorithm for Department of Environment and Natural Resources

Abstract

Accuracy of decision is a significant factor for organizations to survive. Most organizations today are already using data warehouses for a data-mining strategy to extract data based on historical and transactional data to create meaningful decisions. This strategy creates an imperative business perspective to direct the organization's future. This study is a development of a forest management system for the Department of Environment and Natural Resources. The researchers integrated the use of an ID3 decision tree algorithm data mining in the development. ID3 decision tree algorithm is used as a data mining technique to identify suitable species of trees to be planted according to uses, tree type, soil type, and tolerance to different diseases and pests. On ISO 25010 Systems Quality Standards, the SFM received "Very Great Extent." This implies that the system is ready for deployment and utilization.