Volume 9, Issue 3, November 2014, Pages 1291–1302
Peter Sungu Nyakomitta1 and Vincent N. Omollo2
1 School of Computing and IT, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya
2 School of Computing and IT, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This paper defines the building blocks and derives basic queuing systems that provide some sort of services by moving customers in a particular order to a specific service according to the customer requirements and also integrated Alert Notification via SMS to be sent to customers updating them of the progress as they wait. The study focuses on the bank line system mostly on credit applications, the different queuing algorithms that are used in banks to serve the customers, and the average waiting time. The main aim of this research is to develop a Model that integrate Alert notification via SMS on credit applications during queuing system and analyze the queue status to decide on which customer to serve. The researcher adopted empirical approach to achieve his objectives. The target population covers mainly the customers at Bank. The researcher applied a probability sampling technique to select respondents. There were a couple of interviews and questionnaires conducted to bank customers to find out their satisfaction level about the current system and acceptance of the proposed system during data collection which enable easy of analysis. The data was then tabulated and presented in a graph for presentation purposes. The researcher used the research study findings to design and develop a model. The requirements for this model were obtained from the responses that the target population gave. Some of the variable loaded low than the theoretical established entry values were therefore dropped, while the ones that loaded higher than these thresholds were retained. These are the ones that were included in the final loaded model constructed using AMOS software.
Author Keywords: Building Blocks, Model, Queue System, Algorithms.
Peter Sungu Nyakomitta1 and Vincent N. Omollo2
1 School of Computing and IT, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya
2 School of Computing and IT, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This paper defines the building blocks and derives basic queuing systems that provide some sort of services by moving customers in a particular order to a specific service according to the customer requirements and also integrated Alert Notification via SMS to be sent to customers updating them of the progress as they wait. The study focuses on the bank line system mostly on credit applications, the different queuing algorithms that are used in banks to serve the customers, and the average waiting time. The main aim of this research is to develop a Model that integrate Alert notification via SMS on credit applications during queuing system and analyze the queue status to decide on which customer to serve. The researcher adopted empirical approach to achieve his objectives. The target population covers mainly the customers at Bank. The researcher applied a probability sampling technique to select respondents. There were a couple of interviews and questionnaires conducted to bank customers to find out their satisfaction level about the current system and acceptance of the proposed system during data collection which enable easy of analysis. The data was then tabulated and presented in a graph for presentation purposes. The researcher used the research study findings to design and develop a model. The requirements for this model were obtained from the responses that the target population gave. Some of the variable loaded low than the theoretical established entry values were therefore dropped, while the ones that loaded higher than these thresholds were retained. These are the ones that were included in the final loaded model constructed using AMOS software.
Author Keywords: Building Blocks, Model, Queue System, Algorithms.
How to Cite this Article
Peter Sungu Nyakomitta and Vincent N. Omollo, “SMS-Based Alert Notification for Credit Applications Queuing Systems,” International Journal of Innovation and Applied Studies, vol. 9, no. 3, pp. 1291–1302, November 2014.
