Statistical Mobility Pattern Of Solo-Yogyakarta Commuter Workers By Prambanan Express Train

This research was done in two cities; Solo and Yogyakarta which is connected by Prambanan Express (Prameks) Train. The objectives of this research are as follows: (1) Reviewing the characteristic of Solo-Yogyakarta Prameks Train users, (2) Reviewing the mobility pattern of Solo-Yogyakarta Prameks Train users. The character of workers that are being reviewed are based on age, education background, job status, income, and the number of family dependents, while the worker‘s mobility pattern that will be studied are: the usage intensity of the Prameks, transportation modes used to go to the departure station and work office, departure and arrival station, the worker‘s reason in choosing the departure and arrival station, origin and destination area of the worker. Questionnaire is used as a survey method in this study. Purposive Proportional Quota Sampling is also used as the sampling technique to gathered samples. Respondent are limited to 100 workers and divided into two categories; 50 men and 50 women and assumed capable to represent the workers‘ characteristic. The research results show that the workers are still in a productive age that are dominated by 21-25-year-old worker, bachelor degree as the highest education level, permanent employees with salary around 3-6 million Rupiah per month, and do not have any family dependent. Most of respondent‘s origin area are Laweyan, Kartosuro, and Banjarsari district, where the locations are closer to the Purwosari and Solobalapan station. The district that were mostly mentioned as the destination in Yogyakarta includes Gondokusuman and Depok area, which are close to Lempuyangan and Maguwoharjo station.

[1]  Razamin Ramli,et al.  A non-standard optimal control problem using hyperbolic tangent , 2017 .

[2]  B. Susilo Dasar-dasar rekayasa transportasi , 2015 .

[3]  Suliadi Sufahani,et al.  Descriptive statistics with Box-Jenkins and marketing research for jewellery company in Malaysia , 2017 .

[4]  Zuhaimy Ismail,et al.  A real scheduling problem for hospital operation room , 2014 .

[5]  Suliadi Sufahani,et al.  An analysis of time series for the prediction of Barramundi (ikan siakap) price in Malaysia , 2017 .

[6]  Siti Noor Asyikin Mohd Razali,et al.  A Heuristics Approach for Classroom Scheduling Using Genetic Algorithm Technique , 2017 .

[7]  A. Zinober,et al.  A non-standard optimal control problem arising in an economics application , 2013 .

[8]  Alan S. I. Zinober,et al.  A COMPARATIVE STUDY FOR SOLVING NON-CLASSICAL OPTIMAL CONTROL PROBLEM USING EULER, RUNGE-KUTTA AND SHOOTING METHODS , 2017 .

[9]  Asmala Ahmad,et al.  A Comparison between Normal and Non-Normal Data in Bootstrap , 2012 .

[10]  Alan S. I. Zinober,et al.  A NEW COMBINATION OF BROYDEN-FLETCHER-GOLDFARB-SHANNO AND BRENT TECHNIQUES IN SHOOTING METHOD FOR SOLVING NON-CLASSICAL OPTIMAL CONTROL PROBLEM , 2017 .

[11]  Zuhaimy Ismail,et al.  The statistical analysis of the prevalence of pneumonia for children age 12 in west Malaysian hospital , 2014 .

[12]  Zuhaimy Ismail,et al.  A new diet scheduling model for Malaysian school children using zero-one optimization approach , 2016 .

[13]  Ahmad Munawar dasar-dasar teknik transportasi , 2005 .

[14]  Noratikah Abu,et al.  New Product Forecasting with Limited or No Data , 2016 .

[15]  M. Singarimbun,et al.  Metode Penelitian Survai , 1989 .

[16]  Zuhaimy Ismail,et al.  OPTIMAL METHOD FOR INVESTING ON ASSETS USING BLACK LITTERMAN MODEL , 2017 .