Banker Algorithm Simulation Software

Banker's algorithm is an algorithm that models a bank in a small town dealing with a set of customers. This banker algorithm is used to deal with queuing problems in banking. In this case, one of them is how to simulate queues in banking. In this study, the design and manufacture of simulation software is used to help simulate whether a system is in a safe state or an unsafe state, in a safe condition the process is continued but if the process is unsafe the process is delayed until the system is in a safe state. The result of this research is a banker algorithm simulation software that models a banker who is dealing with a group of customers in a bank.

Implementasi Quick Response (QR) Code Pada Transaksi Pembayaran Dengan Enkripsi Message-Digest Algortihm 5

The rapid development of the times has made the community busy with various activities that collide with the limited time they have. This causes people to always look for ways to be able to carry out all the demands of these activities effectively and efficiently. Technological innovations such as electronic payment systems and virtual queues are one of the answers that can be used to help people carry out activities. The existence of this electronic payment system makes it easier for people to make payment transactions with this virtual queue which is a solution to solving queuing problems which usually take a long time, so that this virtual queue can help people to cut the time that is usually used to queue and allocate it for activities other.

Practicing Techniques in Context

Four major types of modeling were detailed in the preceding chapters. (1) The problem of resource allocation, which was extended to deal with the allocation of multiple resources in the context of multiple constraints. (2) Value of information problems, which ask how much should be paid to get more information to help with decision-making. (3) Queuing problems, which ask how to minimize waiting times for a service when demand is higher than supply. And (4), extending the simple “one-box” queuing model to a multibox Markov model, which determines how to estimate the incidence and prevalence of disease in a population given complex probabilities of getting the disease or being treated for it, and compares the effectiveness and cost-effectiveness of programs to address that disease. In this chapter, all four of these key modeling techniques will be examined in a common context: designing and evaluating a program to address a famine.

Improvement in Queuing Network Model to Reduce Waiting Time at Berthing Area of Port Container Terminal via Discrete Event Simulation

Queuing problems present a gap in the availability of knowledge at port container terminals. This study is focused on various types of services for port container terminal queuing system. The purpose of this paper is to introduce a methodology to decrease waiting time without any reduction in productivity. A new approach for servicing at the queue is proposed, and with this idea waiting time will be reduced without any change in productivity or additional cost. To execute this approach in a port container terminal, berthing areas of the port are simulated with ARENA 13.5, and this new approach is implemented in the model. The result of this change are compared with results of a port container terminal as case study. With implementing this method the waiting time is reduced dramatically and productivity increased slowly.

Using Simple Simulation Models to Manage Sports Services

A simple Lotus 1-2-3 model of the flow of golfers through a high-demand championship golf course was developed to help course managers understand the course’s queuing problems better. The nature of the queuing problem, the Lotus 1-2-3 model, and its use in golf course management are discussed. The key to understanding the dynamics of golf is to recognize the similarities (and differences) between golf and assembly lines. Extension of this idea and computer simulation modeling to other recreational services is proposed.