scholarly journals Fuzzy-DSM for Determining Public Transporter based on Geographical Condition

Numerous types of public transporter in one region (in Indonesia) should be examined. The paper presents a decision support model (DSM) for examine the properness of public transporter implemented in one region (district) in Indonesia. Main method operated technically in this study is fuzzy logic with rule base as an engine core. Three types of public transporter examined are ojek, metromini, and angkot; respectively, in Indonesia they are public motorcycle, public mini bus, and public family vehicle. Four geographical parameters considered in the model are road traffic condition, traffic road length, rainfall, and congestion point. The model was finally able to recommend the most proper public transporter implemented in seven districts.

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


2013 ◽  
Vol 22 (2) ◽  
pp. 367-374 ◽  
Author(s):  
A. Fuchsia Howard ◽  
Kirsten Smillie ◽  
Vivian Chan ◽  
Sandra Cook ◽  
Arminee Kazanjian

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