IDENTIFIKASI MODEL ANTREAN NON-POISSON (Studi Kasus : Bus Nonpatas Antarkota Antarprovinsi (AKAP) dan Antarkota Dalam Provinsi (AKDP) Lajur Barat Terminal Bus Tirtonadi Surakarta)
(1) 
(2) 
(3) 
(4) 
(*) Corresponding Author
Abstract
Transportation is an important factor to improve the economic level of an area. If the transportation does great, the economy will grow up. In case of that, Tirtonadi Bus Station always try to provide optimum services to avoid long queue. Queue system on the west lanes nonpatas bus service of Tirtonadi Bus Station (Solo-Yogyakarta, SoloSemarang, Solo-Purwokerto, Solo-Jakarta, and Jalur Pedesaan) will be analyzed using queueing theory. The main goal of this project is to identify the distribution of the model of Non-Poisson and calculate the size of system performance. Primary data
analysis is made up of equilibrium sample test (steady state) and tested the distribution of the arrivals number and the bus service’s time. Based on the analysis of queueing process, there are non-Poisson queueing models estimated with Triangular, Beta, Weibull, and the models are (G/M/1) : (GD/∞/∞), (G/LOGN/1) : (GD/∞/∞), (G/M/1) : (GD/∞/∞), (G/BETA/1) : (GD/∞/∞), and (G/M/1) : (GD/∞/∞). The size of system
performance show that line A (Solo-Yogyakarta) have a higher level of service rush than other service lines.
Keywords : Queue, Queueing System, Queueing Model, non-Poisson, Tirtonadi Bus Station, Arena.
analysis is made up of equilibrium sample test (steady state) and tested the distribution of the arrivals number and the bus service’s time. Based on the analysis of queueing process, there are non-Poisson queueing models estimated with Triangular, Beta, Weibull, and the models are (G/M/1) : (GD/∞/∞), (G/LOGN/1) : (GD/∞/∞), (G/M/1) : (GD/∞/∞), (G/BETA/1) : (GD/∞/∞), and (G/M/1) : (GD/∞/∞). The size of system
performance show that line A (Solo-Yogyakarta) have a higher level of service rush than other service lines.
Keywords : Queue, Queueing System, Queueing Model, non-Poisson, Tirtonadi Bus Station, Arena.
Full Text:
PDFArticle Metrics
Abstract view : 339 timesPDF - 68 times
DOI: https://doi.org/10.26714/jsunimus.6.2.2018.%25p
Refbacks
- There are currently no refbacks.
Copyright (c) 2018 Jurnal Statistika Universitas Muhammadiyah Semarang
Editorial Office:
Department of Statistics
Faculty Of Mathematics And Natural Sciences
Universitas Muhammadiyah Semarang
Jl. Kedungmundu No. 18 Semarang Indonesia
Published by:
Department of Statistics Universitas Muhammadiyah Semarang
This work is licensed under a Creative Commons Attribution 4.0 International License