Journal of Information Engineering and Applications
https://www.iiste.org/Journals/index.php/JIEA
<p><span id="internal-source-marker_0.04939836589619517">Journal of Information Engineering and Applications <span id="internal-source-marker_0.04939836589619517">is a peer reviewed journal published by IISTE. The journal publishes original papers at the forefront of information technologies and their applications. The journal is published in both printed and online versions. The online version is free access and download.</span></span></p><p>IISTE is a member of <a href="http://www.crossref.org/01company/17crossref_members.html">CrossRef</a>.</p><p>The DOI of the journal is: https://doi.org/10.7176/JIEA</p><p><span><span><br /></span></span></p>The International Institute for Science, Technology and Education (IISTE)en-USJournal of Information Engineering and Applications2224-5782Journal coverpage
https://www.iiste.org/Journals/index.php/JIEA/article/view/62048
Journal coverpageJournal Editor14GIS Based Road Network Analysis: In the Case of Gondar City, North Gondar, Ethiopia
https://www.iiste.org/Journals/index.php/JIEA/article/view/62049
<p>Road network has been view as a major dynamic force in influencing quality of life and shaping cities all over the globe. Network analysis is an operation in GIS, which analyses the datasets of geographic network or real world network. Network analysis examines the properties of natural and manmade network in order to understand the behavior of flows within and around such networks and location analysis. The major problems of road network are poor road quality, a lack of pedestrian walkways, a low accessibility level, and narrowness. Lack of segregated bikeways, insufficient street parking, excessive use of off-street parking, poorly built road intersections, inadequate terminals for passenger and freight transit, difficult bus and taxiways, and a lack of adequate road network relative to the size of the city. Then to solve this problems this project to develop the main of objective of analyzes the road network in the study area. This project used primary and secondary sources of data, the primary data GPS point’s field observation and the secondary data received road network data from Gondar city municipality office. Based on these data the projectors develop different road connectivity models including the shortest route selection model to selection of closest facility service area. In addition to this the results show that the highest road network connectivity and accessibility area of the study Marakie subcity is the first ranked and the lowest ranked sub-city is Jantekel due to connectivity measurement parameters.</p> <p><strong>Keywords: </strong>Road network, Road network Analysis, connectivity, accessibility, route, model<strong></strong></p> <p class="Default"><strong>DOI: </strong>10.7176/JIEA/14-1-01</p> <p><strong>Publication date: </strong>January 31<sup>st</sup> 2024</p>Anbaw Tigabu Nibret14The Determinants of Customer Satisfaction: The Case of Dashen Bank and Wegagen Bank, Hawassa Branch
https://www.iiste.org/Journals/index.php/JIEA/article/view/62050
<p>The focus on customer satisfaction in banking industry is becoming extremely prevalent as it is being employed to keep existing customers from switching to other banks and to sell them more services, and to attract customers from non-banking community and competitors. The objective of the study is to investigate the determinants of customer satisfaction and to examine the effects of service quality, IT-based service options, developing stronger relationship with customers, and corporate image on customer satisfaction. Primary data was collected from 200 respondents that were selected from customers of Dashen and Wegagen Bank, Hawassa branch. The respondents were selected from saving account holders, current account holders, and ATMs card holders of two banks through quota sampling techniques. In addition, relevant ideas were collected from secondary sources for comparison of professional and accurate business transaction with services of banks. To determine the relationship between dependent and independent variables Pearson chi square test was applied. To compare Dashen and Wegagen banks in terms of service delivery two-sample mean comparison test was used. In addition, to determine the relative importance of variables the econometrics model known as logistic regression model was used. The results of the study reveals that having employees who give customers personal attention, having customers’ best interest at heart, owning employees who understand customers specific needs, creating stable relationship customers, and possessing excellent quality of management, are the variables that are statistically significant and have influence on customer satisfaction.</p> <p><strong>Keywords:</strong> customer satisfaction, service quality, IT-based service, corporate image</p> <p class="Default"><strong>DOI: </strong>10.7176/JIEA/14-1-02</p> <p><strong>Publication date: </strong>January 31<sup>st</sup> 2024</p> <p><strong> </strong></p>Habtamu Ketsela Fekede14Impacts of Urbanization Rate and Land Cover Change on Urban Farm Land: A Case of Wolayta Zone Sodo Zuria Woreda
https://www.iiste.org/Journals/index.php/JIEA/article/view/62051
<p>A reflection of human intervention on urban Agricultural land and degradation in regarding of residential land has a negative impact and also beyond this assumption, an impact of deforestation on urban Agricultural livelihoods was not scientifically studied in most of the southern Ethiopia high lands and their surrounding in particular land in Wolayta zone sodo zuria woreda Therefore, this study focuses on the impact of urbanization rate and land use land cover change detection analysis using Primate and secondary data source with integration (GIS) Geographic Information System and Remote sensing Method for managing negative impact on geospatial environment in the context of Ethiopian Agricultural Transformation (ATP) goal of sustainable and balanced land use planning for agricultural economic development livelihood in the study area and evaluation of image classification accuracy can be defined as the process of comparing the classified image with geographic data considered to be accurate and referential typically, the data which the classified image was compared to are ground-truth based on supervised classification . In general, a set of reference shape file has been overlaid as 7 major land use class which are generated over the classified image by AHP method of Computing Eigen vector Matrixes, which is an output of the pair wise comparison matrix to produce a best fit set based on the pixel value land use area listed</p> <p><strong>Keywords:</strong> Analytic Hierarchical Process (AHP), Geographic Information System (GIS), LandSat 7 (ETM+) and Eigen vector Matrixes</p> <p class="Default"><strong>DOI: </strong>10.7176/JIEA/14-1-03</p> <p><strong>Publication date: </strong>January 31<sup>st</sup> 2024</p>Bereket Geberselassie Assa14Groundwater Potential Zone Identification Using Remote-Sensing-Based/GIS Based Machine and Analytical Hierarchy Process (AHP) for Abbay Watershed, East Africa
https://www.iiste.org/Journals/index.php/JIEA/article/view/62052
<p class="MDPI17abstract">This paper presents and examines groundwater potential zones with the help of remote sensing and GIS methods for controlling and investigating the geospatial data of each parameter. Groundwater is the most reliable source of fresh water. Because of several conditions such as rapid population growth, urbanization, industrialization and agricultural development, groundwater sources are under severe threat. Climate change plays an important role in the quality and quantity of groundwater potential. In addition, climate change severely affects parameters that influence groundwater recharging. Unreliable exploitation and poor quality of surface water resources tend to increase the decline in groundwater levels. Hence, it is necessary to identify groundwater potential zones that can be used to optimize and monitor groundwater resources. This study was conducted in the Abbay River Basin, where groundwater serves as the main source for agricultural purposes rather than surface water. Seven selected parameters—lineament density, precipitation, geology, drainage density, land use, slope and soil data—were collected, processed, resampled, projected and reclassified for hydrological analysis. For generation of groundwater zones, weightage was calculated using an analytical hierarchy method, reclassified, ranked and overlaid with GIS. The obtained results of weightage were lineament density 37%, precipitation (30%), geology (14%), drainage density (7%), land use land cover (5%), slope (4%) and soil (3%). The consistency ratio estimated for this study was 0.089, which was acceptable for further analysis. Based on the integration of all thematic layers and the generated groundwater potential zones, the map was reclassified into five different classes, namely very good, good, moderate, poor and very poor. The results of this study reveal that 1295.33 km2 of the study area can be considered very poor, 58,913.1 km<sup>2</sup> is poor, 131,323 km<sup>2</sup> is moderate, 18,557 km<sup>2</sup> is good and 311.5 km2 is very good. Any groundwater management project performed in the better regions would offer the greatest value. A similar study would be valuable before planning any water resource development activity, as this would save the expense of comprehensive field investigations.</p> <p class="MDPI17abstract"><strong>Keywords: </strong>ground water; sensitivity analysis; AHP; GIS; thematic layer; watershed.</p> <p class="Default"><strong>DOI: </strong>10.7176/JIEA/14-1-04</p> <p><strong>Publication date: </strong>January 31<sup>st</sup> 2024</p>Agegnehu Kitanbo Yoshe14Sense-Making of The Implementation of an Enterprise Resource Planning Software Solution
https://www.iiste.org/Journals/index.php/JIEA/article/view/62160
<p>In a bid to increase their efficiency and productivity, organizations conducting their business processes manually or semi-automatically realize their need to migrate to a more effective, automated system of managing their operations. Organizations may opt to adopt an Enterprise Resource Planning (ERP) system to achieve this purpose. As is common with organizational change, ERP implementation in organizations can be met with resistance from organizational stakeholders such as employees. Organization need to overcome this resistance and support stakeholders to understand and embrace the change. This article therefore explores how a company might effectively navigate the change–the implementation of an Enterprise Resource Planning (ERP) system–from an organizational sense-making perspective. It also delves into various aspects of the ERP, such as its meaning, benefits, and factors that can lead to a successful or failed implementation. Additionally, this paper identifies the implementation and adoption of an ERP as a change management process requiring the steering of a change manager. Hence, information is provided on the role of a change manager, who in the change management process, acts as an interpreter by making sense to the change, in order to facilitate a successful implementation of the ERP solution. This paper provides an exposé into the utilizing of the sense-making framework as a way to navigate ERP implementation, with the aim of positively effecting the change.</p> <p><strong>Key Words: </strong>Enterprise resource planning (ERP), ERP implementation, organizational sense-making, organizational change management, change manager</p> <p><strong>DOI: </strong>10.7176/JIEA/14-1-05</p> <p><strong>Publication date: </strong>February 28<sup>th</sup> 2024</p> <p> </p>Christianah O. OjikutuOlufunke MeadowsIbukunoluwa A. Omokanye14