Tag pencarian: Software Antrian Pemanggil No, Software Qlast Antrian Panggilan, Qlast Software Antrian Pemanggil, Software Antrian Bank Rumah. Software Antrian Murah, SabilaKomputama 43, Paket Aplikasi Antrian, Sistem Antrian Bank, Mesin Antrian Bank, Mesin Antrian PDAM, Mesin.

PT Bank Tabungan Pensiunan Nasional Tbk (BTPN) is a conventional bank where its main client is a civil worker. The event that occured nowadays is a long line of people queuing to get their retirement fund in the beginning of the month.

The purpose of this research is to modelling the queuing line that occured nowadays, making the improvement scenario, and determine the optimal queuing system design for retirement fund at BTPN KC Pontianak using arena. Simulation method is one of the solution of this issue that help to studying the real condition of the system with broad scope using simulated design that represented queuing model that produced by some simulation software. Arena software with sequence is used in this research. Based on the research, queuing system that occured at Bank Tabungan Negara KC Pontianak when the client lining to get their salary is a multiple channel pattern with one phase of the process and some server.

At this condition, the average time that it takes for one client in the system is 3.297,38 seconds or 54,96 minutes. Based on improvement scenarios result that designed and executed with assist from arena process analyzer software, we know that the scenario that give the fastest total average time is the third scenario that had the client’s total average time in the system at 0.891 hour or 53,46 minutes atau 3207,6 seconds. Therefore, the best improvement scenario is the third one, whereas the service duration at each teller is cutted short. Keywords– Client Queue, Simulation Model, Arena Software, Improvement Scenario.

Bank X Puri Sentra Niaga branch office is one of bank that can not be separated from the queue issue. The customers want a fast and easy service.

The length of queueing and the long waiting times may cause customers cancel the transaction and choose another bank. Therefore, it is necessary to define a suitable queueing model of teller service. Bank X Puri Sentra Niaga branch office have two types of teller service namely Antrian 1 and Antrian 2. Queueing model for Antrian 1 is (M/G/1):(GD//). The model describe that the customers arrival distribution is Poisson, the customer service distribution is General, the number of server is 1, the service disipline is FIFO (first in first out), the customers capacity and the resource of customers are infinite. Queueing model for Antrian 2 is (M/M/2):(GD//). The model describe that customers arival distribution and service distribution are Poisson, the number of server is 2, the service disipline is FIFO (first in first out), the customers capacity and the resource of customers are infinite.

Software Arena is applied in simulation to compare the measures of performance if the number of teller added. Keywords: Queue, Queueing System Model, Bank, Teller.