Fuzzy DSM for Determining Public Transporter based on Geographical Condition

  • et al.
Citations of this article
Mendeley users who have this article in their library.
Get full text


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.




Utama, D. N. … Bhaskara, M. F. (2020). Fuzzy DSM for Determining Public Transporter based on Geographical Condition. International Journal of Innovative Technology and Exploring Engineering, 9(5), 1673–1676. https://doi.org/10.35940/ijitee.d1460.039520

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free