Fuzzy-DSM for Evaluating City-Forest Governance in Indonesia
Ditdit Nugeraha Utama1, Safira Aulia Fadhillah2, Gerry Ikhtiyar3, Fazrin Al Banjari4
1Ditdit Nugeraha Utama* is currently faculty member of Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia.
2Safira Aulia Fadhillah, Gerry Ikhtiyar, Fazrin Al Banjari are students of Information System Department, State Islamic University Syarif Hidayatullah, Jakarta, Indonesia.
3Gerry Ikhtiyar Research scholer, Department of Information System, State Islamic University, Indonesia.
4Fazrin Al Banjari Research scholer, Department of Information System, State Islamic University, Indonesia.

Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 670-674 | Volume-8 Issue-4, November 2019. | Retrieval Number: C6137098319/2019©BEIESP | DOI: 10.35940/ijrte.C6137.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.
Keywords: Fuzzy Logic, Decision Support Model, City Forest, Human Life, Evaluating Model, Indonesia, Human Life.
Scope of the Article: Fuzzy Logic.