scholarly journals Decision Support Model for Employee Selection Based on Data Mining and Fuzzy Logic

2020 ◽  
Vol 16 (5) ◽  
pp. 686-701
Author(s):  
Clarissa Elfira Amos Pah ◽  
Ditdit Nugeraha Utama
Keyword(s):  
Data Mining ◽  
Fuzzy Logic ◽  
Decision Support ◽  
Employee Selection ◽  
Decision Support Model ◽  
Support Model

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

2020 ◽  
Vol 9 (5) ◽  
pp. 1673-1676
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Road Traffic ◽  
Rule Base ◽  
Decision Support Model ◽  
Traffic Condition ◽  
Main Method ◽  
Support Model

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.

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