scholarly journals DESKRIPSI SISTEM ANTRIAN PADA BANK SULUT MANADO

d'CARTESIAN ◽  
2012 ◽  
Vol 1 (1) ◽  
pp. 34
Author(s):  
Selvia Hana ◽  
Tohap Manurung
Keyword(s):  
Customer Service ◽  
Service Time ◽  
Fast Food ◽  
Single Phase ◽  
Arrival Rate ◽  
Time Of Arrival ◽  
Start Time ◽  
Queuing Model ◽  
Test Analysis ◽  
Queue Discipline

Abstrak Antrian merupakan sesuatu yang lazim kita temukan di tempat -tempat pelayanan umum misalnya antrian di restoran cepat saji, kantor pos, swalayan, dan masih banyak lagi. Penelit ian dilakukan untuk menentukan pelayanan yang optimum sehingga pelayanan  nasabah pada BANK SULUT MANADO menjadi lebih efisien, efektif, dan memuaskan para nasabah yang menggunakan jasa Bank tersebut, pembatasan masalah dilakukan hanya mencakup tingkat kedatangan, waktu pelayanan, disiplin antrian, dan jumlah fasilitas pelayanan yang tersedia serta  proses antrian. Model antrian yang digunakan adalah model antrian banyak saluran satu tahap  (Multi Chanel Single Phase)  dengan disiplin antrian yang pertama datang pertama keluar. Penelit ian ini dilakukan selama 5 hari dengan mencatat  waktu kedatangan nasabah, waktu mulai dilayani, dan selesai dilayani nasabah yang datang untuk menabung dan menarik uang.  Dengan analisis yang digunakan yaitu uji Poisson untuk menggambarkan tingkat kedatangan nasabah, dan uji Eksponensial untuk menggambarkan pola pelayanan, sehingga diperoleh  kedatangan nasabah rata-rata 0,677 nasabah per menit atau sekitar 40 detik nasabah datang. Dan rata-rata waktu pelayanan 0,303 nasabah per menit atau sekitar 18 detik nasabah dilayani. Maka  dari data ini dapat dilihat bahwa pelayannya sangat cepat dan tingkat kedatangan nasabah sangat lambat. Dan peluang menganggur sebesar 0,303.  Kata kunci : Sistem Antrian, BANK SULUT MANADO Abstract Queue is something that we commonly find in places such as  public service queues at fast food restaurants, post office, supermarkets, etc. The study was conducted to determine the optimum service so that customer service at BANK SULUT MANADO become more efficient, effective, and satisfying our customers who use the services of the Bank, restrictions on the issue carried out only covers the arrival rate, service time, queue discipline, and the number of service facilit ies available and the process queue. Queuing model used is a model queue many channels one stage (Multi Chanel Single Phase) with the first queue discipline first came out. The research was conducted for 5 days with a record time of arrival of customers, start time served, and had been served customers who came to save and withdraw money.  With the test analysis was used to describe the Poisson arrival rate of customers, and Exponential test to describe the pattern of services, in order to obtain the average customer arrival of 0.677 customers per minute or 40 seconds customers come. And the average service time of 0.303 customers per minute or 18 seconds customers served. So from these data can be seen that the waiters are very fast and the customer arrival rate is very slow. And opportunities for idle  0.303.  Key word: Queuing Systems, BANK SULUT MANADO

scholarly journals MODEL SISTEM ANTRIAN PADA PELAYANAN RESTORAN CEPAT SAJI (Studi Kasus di KFC Gajah Mada Kabupaten Jember)

2021 ◽  
Vol 15 (01) ◽  
pp. 40
Author(s):  
Bambang Herry Purnomo ◽  
Bertung Suryadharma ◽  
Nurma Yunita Ekasari
Keyword(s):  
Data Analysis ◽  
Fast Food ◽  
Single Phase ◽  
Queuing System ◽  
Simulation Methods ◽  
Initial Condition ◽  
Queuing Model ◽  
Queue Discipline ◽  
Fast Food Restaurants ◽  
First In First Out

KFC is one of the fast food restaurants in the Jember Regency which is never deserted of visitors, especially that on Gajah Mada Street. The purposes of this study were to determine the characteristics of the queuing system, analyze the queuing applied at KFC, formulate recommendations for improving the queuing system to reduce queuing, and minimize costs. The Data analysis was performed to compare manual calculations and simulation methods using ARENA 14.0. The characteristics of the current queue at KFC are random and unlimited arrival patterns, FIFO (first in first out) queue discipline, and the design of the single phase multi channel queuing system. The queuing distribution used for arrival and service time was the exponential distribution. The queuing model notation at the M/M/2 cashier: FIFO/∞/∞. The recommended queuing model that can be applied was to add 1 cashier to 3 cashiers at a cost of Rp 150,560 from the scenario made. The performance variable in the scenario becomes less than the initial condition, which was ρ cashier becomes 188%, total Wq about 0.92 minutes, and Lq about 2 people. Adding these facilities changes the queuing model notation to (M/M/3: FIFO/∞/∞). Keywords: ARENA, FIFO queuing discipline KFC Jember, queuing system

scholarly journals Penerapan Model Antrian Multi Channel-Single Phase pada SPBU Sempu Jurong Cikarang Utara

UNISTEK ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 11-17
Author(s):  
Ica Hoerunisa ◽  
Sukanta Sukanta
Keyword(s):  
Service Time ◽  
Single Phase ◽  
Optimal Level ◽  
Level Of Service ◽  
Queuing Model ◽  
Wheeled Vehicle ◽  
Optimal Service ◽  
Time Required ◽  
Time In Service ◽  
Wheeled Vehicles

SPBU Sempu Jurong provides 4 service facilities and two of them are service facilities for two-wheeled vehichles which have the most dominant queues compared to the entire queue of the existing system. The queue that occurs is due to the unbalance between the number of service facilities and the number of two-wheeled vehicle customers. This study aims to increase the level of service by knowing the number of service facilities and service time at optimal level at SPBU Sempu Jurong. In this study, the method used is the Multi Channel-Single Phase queuing model. The results of this research indicate that the addition of one facility line causes the service time required for SPBU Sempu Jurong for two-wheeled vehicle refueling services to be faster. Based on calculations using the Multi Channel-Single Phase model, it is obtained that the service time with 2 lines of service facilities is 0.291 minutes, while the optimal service time needed with 3 lines of facilities takes the longest of 0.027 minutes. This shows that it is optimal because the speed of time in service can be improved so that customer satisfaction of two-wheeled vehicles with services at SPBU Sempu Jurong Cikaran Utara can be achieved.

scholarly journals PENERAPAN MODEL ANTREAN MULTI CHANNEL SINGLE PHASE PADA SISTEM PELAYANAN RESTORAN CEPAT SAJI

2021 ◽  
Vol 10 (3) ◽  
pp. 163
Author(s):  
NI WAYAN NI WAYAN EKANTARI ◽  
NI KETUT TARI TASTRAWATI ◽  
KARTIKA SARI
Keyword(s):  
Fast Food ◽  
Single Phase ◽  
Fast Food Restaurant ◽  
Queuing Model ◽  
Utility Level ◽  
Total Cost ◽  
Queue System ◽  
Bypass Line ◽  
Fast Food Restaurants ◽  
The Village

A queue will occur if the average number of arrivals exceeds the capacity of service facilities. Fast food restaurants are one of the places that usually have long queues at lunchtime and dinner time. KFC in Bali, located in the village of Sanur, is a fast food restaurant that is experiencing long queues. This is because this restaurant is located in a tourism area and the only KFC outlet on the Ngurah Rai Sanur bypass line and does not yet have a drive-thru service. The current condition at KFC Sanur is that there is more than one service facility, disciplined first come first service (FCFS) queues according to the multi channel single phase queuing model. After being analyzed with data taken before the pandemic period on November 18, 2019 to December 1, 2019 for 14 days during weekdays and weekends, it was found that the performance of the KFC Sanur queue system would have a smaller utility level if there were 3 active server. The total cost per customer if there are 2 active server is IDR 78,692.38 and if there are 3 server is IDR 75,788.45. Based on the results of this analysis, it can be concluded that it will be more optimal if there are 3 active server.

scholarly journals ANALISIS OPTIMALISASI WAKTU LAYANAN POTONG RAMBUT PADA TAKILISH BARBER SHOP DENGAN MODEL ANTRIAN

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Yuliza Abidin ◽  
Moch Rum Alim ◽  
Rahayu Lestari
Keyword(s):  
Service Time ◽  
Single Phase ◽  
Single Channel ◽  
Service Level ◽  
Primary Data ◽  
Queuing Model ◽  
Microsoft Excel ◽  
High Service ◽  
Queue Model ◽  
Barber Shop

This study aims to analyze the optimization of haircut service time at the Takilish Barber Shop using a single channel - single phase queue model. Primary data from observations and interviews with the concerned visitors used in this study were processed using Microsoft Excel with a single phase single channel queue structure and model A (MM/1) of queuing model. The results showed that the service at Takilish Barber Shop is not yet optimal, including in terms of service time, because of the high service level of the server, which causing a lot of free time that is not used optimally.

scholarly journals SISTEM ANTRIAN REKAM MEDIS PASIEN DI RUMAH SAKIT MENGGUNAKAN MODEL MULTI CHANNEL DENGAN POLA POISSON

2020 ◽  
Vol 5 (2) ◽  
pp. 121-131
Author(s):  
Yeyi Gusla Nengsih
Keyword(s):  
Distribution Pattern ◽  
Waiting Time ◽  
Service Time ◽  
Medical Records ◽  
Single Phase ◽  
Service Performance ◽  
Time Data ◽  
Queuing Model ◽  
Busy Time ◽  
System L

Queue is an occurrence where someone has to wait their turn to get service. Queuing processes in hospitals when processing outpatient registration medical records at the hospital often occur especially during peak hours. To overcome this problem, a solution is needed to improve service performance at the hospital. The queuing model used is the Multi Channel-single phase queuing model which has one or more services flowing by a single queue. The variables to be observed are time between arrivals, service time data and number of services assuming a Poisson distribution pattern. The results of this study will show the operator's busy time is 83.33%, the number of queues in a certain period (Lq) is 13 patients, the number of registrants in the system (L) is 14 patients, the waiting time in the queue (Wq) is 24 minutes, and waiting time in the system (W) is 30.06 minutes.

Stationary Poisson departure processes from non-stationary queues

1986 ◽  
Vol 23 (1) ◽  
pp. 256-260 ◽  
Author(s):  
Robert D. Foley
Keyword(s):  
Poisson Process ◽  
Service Time ◽  
Queueing Systems ◽  
Arrival Rate ◽  
Distribution Functions ◽  
Arrival Process ◽  
Service Time Distribution ◽  
Departure Process ◽  
Infinite Server ◽  
Departure Processes

We present some non-stationary infinite-server queueing systems with stationary Poisson departure processes. In Foley (1982), it was shown that the departure process from the Mt/Gt/∞ queue was a Poisson process, possibly non-stationary. The Mt/Gt/∞ queue is an infinite-server queue with a stationary or non-stationary Poisson arrival process and a general server in which the service time of a customer may depend upon the customer's arrival time. Mirasol (1963) pointed out that the departure process from the M/G/∞ queue is a stationary Poisson process. The question arose whether there are any other Mt/Gt/∞ queueing systems with stationary Poisson departure processes. For example, if the arrival rate is periodic, is it possible to select the service-time distribution functions to fluctuate in order to compensate for the fluctuations of the arrival rate? In this situation and in more general situations, it is possible to select the server such that the system yields a stationary Poisson departure process.

Modeling Bus Capacity for Bus Stops Using Queuing Theory and Diffusion Approximation

2021 ◽  
pp. 036119812110302
Author(s):  
Chao Wang ◽  
Weijie Chen ◽  
Yueru Xu ◽  
Zhirui Ye
Keyword(s):  
Approximation Method ◽  
Service Time ◽  
Diffusion Approximation ◽  
Coefficient Of Variation ◽  
Queuing Theory ◽  
Queuing Model ◽  
Bus Stop ◽  
Proposed Model ◽  
Bus Stops ◽  
Bus Service

For bus service quality and line capacity, one critical influencing factor is bus stop capacity. This paper proposes a bus capacity estimation method incorporating diffusion approximation and queuing theory for individual bus stops. A concurrent queuing system between public transportation vehicles and passengers can be used to describe the scenario of a bus stop. For most of the queuing systems, the explicit distributions of basic characteristics (e.g., waiting time, queue length, and busy period) are difficult to obtain. Therefore, the diffusion approximation method was introduced to deal with this theoretical gap in this study. In this method, a continuous diffusion process was applied to estimate the discrete queuing process. The proposed model was validated using relevant data from seven bus stops. As a comparison, two common methods— Highway Capacity Manual (HCM) formula and M/M/S queuing model (i.e., Poisson arrivals, exponential distribution for bus service time, and S number of berths)—were used to estimate the capacity of the bus stop. The mean absolute percentage error (MAPE) of the diffusion approximation method is 7.12%, while the MAPEs of the HCM method and M/M/S queuing model are 16.53% and 10.23%, respectively. Therefore, the proposed model is more accurate and reliable than the others. In addition, the influences of traffic intensity, bus arrival rate, coefficient of variation of bus arrival headway, service time, coefficient of variation of service time, and the number of bus berths on the capacity of bus stops are explored by sensitivity analyses.

Hitting time in an M/G/1 queue

1999 ◽  
Vol 36 (03) ◽  
pp. 934-940 ◽  
Author(s):  
Sheldon M. Ross ◽  
Sridhar Seshadri
Keyword(s):  
Service Time ◽  
Time Distribution ◽  
Arrival Rate ◽  
Hitting Time ◽  
Service Time Distribution ◽  
Expected Time ◽  
Efficient Simulation ◽  
Simulation Procedure ◽  
Poisson Arrival ◽  
Stationary Delay

We study the expected time for the work in an M/G/1 system to exceed the level x, given that it started out initially empty, and show that it can be expressed solely in terms of the Poisson arrival rate, the service time distribution and the stationary delay distribution of the M/G/1 system. We use this result to construct an efficient simulation procedure.

scholarly journals Analysis of queue change of visitors and performace system in the Department of Population and Civil Regristation of Semarang City

2020 ◽  
Vol 202 ◽  
pp. 15005
Author(s):  
Sugito ◽  
Alan Prahutama ◽  
Dwi Ispriyanti ◽  
Mustafid
Keyword(s):  
Customer Satisfaction ◽  
Waiting Time ◽  
Public Service ◽  
Service Time ◽  
Service Sector ◽  
General Distribution ◽  
Queuing Systems ◽  
Queuing Model ◽  
The Public ◽  
Second Period

The Population and Civil Registry Office in Semarang city is one of the public service units. In the public service sector, visitor / customer satisfaction is very important. It can be identified by the length of the queue, the longer visitors queue this results in visitor dissatisfaction with the service. Queue analysis is one of the methods in statistics to determine the distribution of queuing systems that occur within a system. In this study, a queuing analysis as divided into two periods. The first period lasts from 2-13 March 2015, while the second period lasts November 16th to December 20th 2019. The variables used are the number of visitors and the service time at each counter in intervals of 30 minutes. The results obtained are changes in the distribution and queuing model that is at counter 5/6 and counter 10. The queuing model obtained at the second perideo for the number of visitors and the time of service with a General distribution. The average number of visitors who come in 30 minute intervals in the second period is more than the first period, this indicates an increase in visitors. The opportunity for service units is still small, the waiting time in the queue is getting smaller. This shows that the performance of the queuing system at the Semarang Population and Civil Registry Office is getting better.

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