Fuzzy-DSM for Evaluating City-Forest Governance in Indonesia

Abstract

City-forest is fruitful for human’s life and health, particularly for people who living in Metropolitan. A decision support model (DSM) was established academically to evaluate five city-forests in Indonesia. Fuzzy-logic was functioned as a main method and model was designed in Android based application for easy to use. Five parameters were functioned in the model, they are land width, land type, tree number, tree type, and maintenance quantity. The constructed model is able to measure the quality of city-forest governance for five forests in Indonesia as a sample of the study.