Nawzat Sadiq Ahmed

Assistant Professor

Integrating Enterprise Resource Planning with the Organizations’ Management Structure for Decision-Making

The unstable situation of some countries in Middle East have caused several crises. Many humanitarians Non-Governmental Organizations (NGOs) intervene to provide services to the affected groups. Good information management may have an effect on the project’s activities and the accuracy of decisions making, especially for organizations that have limited resource. This paper presents the integration of a Management Information System (MIS) and its' impact in a local organization operating in Duhok City, Kurdistan Region-Iraq (KRI), namely voice of older people and family (VOP Fam). The goal is to increase the quality of humanitarian work through good decision making and data management. Based on the System Usability Scale (SUS) result, the system includes many components as an Enterprise Resource Planning (ERP) and is used by the organization staff for managing and organizing their activities. This system is essential to provide knowledge and can bring together the management and the organization’s senior staff members to make decisions, collect the important information, and allow the donors and the staff of the NGO to follow work timely. The importance of the research lies in its contributes to highlighting the positive impact of integrating a computer-based information system (IS) in conducting humanitarian activities of NGOs in KRI. In addition, it will add a level of reliability to the NGO’s activities data and make it trustworthy. This study has concluded that Integrating IS in organizations can help in decision-making based on analyzing the aggregated data, and prepare more accurate reports in a short period.

A User-Based Method To Test The Usability of University of Zakho Website

Websites developed for an organisation, especially a university, always need maintenance and improvements to increase user satisfaction and to provide an environment that provides up-to-date information and services in efficient ways. Unfortunately, academic websites are often designed depended on the structure and objectives of an organisation, rather than on whether students, lecturers, and administrative staff find the website usable. This leaves the website users’ needs and expectations unsatisfied. The University of Zakho (UoZ), a public university in the Kurdistan Regional Government, is developing its website to include most of the information required. However, the usability of this website still needs to be checked to know whether or not it satisfies users. This study employs a user-based method to get the rate of usability satisfaction from the perspective of students and academic staff, and it investigates whether the occupation has significant impacts on usability satisfaction. This method is achieved by using a Website Analysis and Measurement Inventory (WAMMI) questionnaire, which is including five factors: attractiveness, controllability, helpfulness, efficiency, and learnability. The study offers recommendations and suggestions to the UoZ web developers for improving the website during the maintenance period. Further, this study proposes ways to enhance the academic websites usability.

Classifying and Predicting Students’ Performance using Improved Decision Tree C4.5 in Higher Education Institutes

Students’ information in higher education institutions increases yearly. It is hard for them to extract meaningful information from the huge amount of data manually. Such information can support academic staff to stop students from dropping out at the end of courses. This can be done by evaluating the students’ performance for the course and also by predicting their performance in the final exam early by using classification algorithms. Four classification algorithms, which are Decision Tree C4.5, Random Forest, Support Vector Machine (SVM) and Naive Bayes, were used in this research in order to classify and predict the students' performance. Furthermore, this research aimed at improving the Decision Tree C4.5 algorithm by adding a grid search function in order to improve prediction accuracy in classifying and predicting the students’ performance. Also, the features of this evaluation have been extracted through the interviews with academic staff of three universities (University of Zakho, Duhok Polytechnic University and University of Duhok), in Duhok province, Kurdistan Region, Iraq and through the review of the literature. A new prototype has been proposed as a tool to classify and predict the students’ performance by using Accrod.Net library. Three datasets were utilized in this research in order to test the improved Decision Tree C4.5 with the traditional C4.5 and three other selected algorithms. The results showed that the improved Decision Tree C4.5 outperformed the traditional C4.5 and also performed better when compared to C4.5 (J48) in Weka tool and other algorithms used in this research.

Inspiring a fractal approach in distributed healthcare information systems: A review

The structure of healthcare information systems (HISs) needs flexibility to overcome modifications and maintain system requirements, such as quickly and accurately circulating and updating productive information among system units. This paper proposes the incorporation of fractal features in HISs. Fractal features can provide many solutions to improve the flexibility and quick adaptability of the system to environmental changes. The fractal theory, its features, and its implementations are reviewed in this paper to investigate the possibility of developing cooperative HISs based on fractal theory. This paper proposes an integrated cooperative HIS conceptual framework to explain the roles of fractal features in improving the flexibility and adaptability of the HIS. This research includes a survey conducted in two healthcare centers in North Iraq. The survey shows the necessity of fractal-based HIS to improve the cooperation