AAU-ETD :: Browsing by Author "Lamenew Workshet (PhD)"

Browsing by Author "Lamenew Workshet (PhD)"

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Adoption of Electronic Medical Records among Health Professionals at Public Hospitals in Addis Ababa City Administration Health Bureau, Ethiopia
(Addis Ababa University, 2012-12) Gebremariam Semere; Lamenew Workshet (PhD); Deyassa Negussie (PhD)
INTRODUCTION: Wellness and health are central to live of all people of age group. Incorporating information communication like Electronic Medical Records on the health care industries is mandatory for the better improvement of patient care and safety, integrated research, for effective planning, monitoring and evaluation of disease etc. Electronic Medical Record implementation in public hospitals in Addis Ababa is on the infant stage not more than three years since its inception. Even though There is discrepancy in adoption among health professionals and is not utilized as needed due to different factors ,most of the public hospitals have implemented it. So identifying the factors which affect the adoption will help to apply proactive measure and correction so as to increase the adoption of EMR among health professionals whom are working at the public hospitals. OBJECTIVE: This study aimed at identifying the factors that affect the Behavioral Intention and usage behavior of Electronic Medical Record and determine the utilization status among health professionals working in public hospital in Addis Ababa City Administration health Bureau. METHOD: A Cross-sectional survey was carried out among health professionals working at public hospitals in Addis Ababa using modified theory of unified acceptance and use of technology (UTAUT) model. Four hundred eight health professionals who had training on EMR were interviewed at the five public hospitals. RESULTS: The utilization of EMR among health professions working at the public hospitals was 51.7%. Performance expectancy, Effort expectancy, social influence were factors influencing the behavioral intention of health professionals to adopt EMR and Behavioral intention was also significant influencing factor on actual usage behavior. Facilitating condition remains insignificant on the actual usage behavior of EMR among health professionals. CONCLUSION AND RECOMMENDATION: The utilization rate of EMR was 51.7%: Having no experience, misunderstanding on the relative advantage, perceiving complexity of the system, inadequate support of the top managers, low behavioral intent were factors associated with the behavioral intention and actual usage of EMR. This study indicates that the necessity of integrating health management information system with the daily health care activities and development of health information policy that can scale the utilization rate.
Application of Collaborative Filtering Agent for Document Recommendation in SDI System
(Addis Ababa University, 2003-06) Zinab, Zehara; Biru Tesfaye; Lamenew Workshet (PhD); Taddese Ethiopia
Selective Dissemination of Information (SDI) is a personalized information filtering method used for delivering current information to users. The objective of SDI service is to reduce users’ effort in their pursuit of relevant information. However, the performance of SDI service based on simple matching of user interest profiles with new documents, has been inefficient. To improve the efficiency of such services agent based approaches are proposed. Collaborative filtering system is one type of agent technology that uses a database about user preferences to predict additional documents of items that the new user might like. It combines the opinions of humans to make personalized, accurate predictions. This study is therefore, an attempt to assess the applicability of collaborative filtering approach to SDI service. This report presents the basic ideas of collaborative filtering systems and describes the results obtained from a preliminary experiment conducted based on the data obtained from International Livestock Research Institute’s (ILRI) SDI service. Finally, based on the experiment findings, recommendations for further research are forwarded.
Application of Gis for Urban Planning in Ethiopia With Particular Reference to Abattoir Site Suitability Analysis for Kulito Town: An Exploration.
(Addis Ababa University, 2002-07) Melese Ayshesidm; Lamenew Workshet (PhD); Sileshi Teferra (PhD)
In Ethiopia certain urban function s, particularly abattoirs even though their siting is a critical environmental issue (EPA, 2002), are frequently observed being located incompatibly with the surrounding geographic features. As a result, abattoirs pose environmental hazard to their surrounding, and they are also affected by some nearby activities. The implication is that each fiscal year NUPI, which is the chief urban development plan making arm of the Federal Government of Ethiopia, would be confronted with problems of these kind to which appropriate solution should be sought. However, it is admitted that the manual method NUPI is currently using is not sufficient enough to cope with the increasing demand for siting abattoirs. It is rather slow, error prone and laborious. In an attempt to address such problems, the present study specifically explores the potentiality of applying GIS for abatto ir site suitability ana lysis, by taking a selected town of Ethiopia (Kulito) as a case. A model for the analysis has been developed by working closely with knowledgeable expels of NUPI in the problem area as well as reviewing relevant documents. The model was then implemented using Arc View GIS Version 3. 1. Based on the comments of NUPI's experts, the result was proved satisfactory and the method could be used for the designation of suitable abattoir site for other towns with some modifications if necessary.
Appropriate Technology Based Information System for Distance Education in the Ethiopian Civil Serice College
(Addis Ababa University, 2000-05) Kebede Gizachew; Schibeshi Ayalew (PhD); Lamenew Workshet (PhD)
These days when, there are cos t and access crises in on-campus education , it is not wise to continue with only on -campus education. However, distance education without technologies that reduces the time and distance limitations is likely to suffer a lot. . Therefore, this study, after so me literature review, questiolll1aire survey and discussion with users and management body of the Ethiopian Civil Service College, and analysis of different documents, a Web technology based distance education is proposed . The technology was selected by first narrowing the candidate techno logiest to interactive technologies (those that let bi -directional flow of information) and then selecting one by evaluating the two can dilate technologies : videoconferencing and Web and put Web as dominant teleology to be used in distance education Based on the requirement analysis made this study proposed a Web based in formation system and designed a framework for such a system which would enable the users to meet their ne eds. A Web based prototype, based on the framework , was also develop ed. The system development steps employed are analysis (analysis of anticipated problems, and activities, information need in the distance education, analysis of critical components), planning (listing goals, deciding how to perform and prioritizing) and designing the structure of the Web based system. The prototype was developed mainly using a tool called Visual Inter Dev
Assessment of Insider Threat In Ethiopian Banking Industry
(Addis Ababa University, 2015-06-04) Amare Behabtu; Lamenew Workshet (PhD)
This thesis work examines the insider threat management of Ethiopian banking industry with particular emphasis on the insider threat, the motivational factors that leads insider to commit malicious activities and try to see the current implemented insider threat mitigation strategies and activities within the commercial banking industry of Ethiopia .In addition to this, those challenges that faces the Ethiopian banking industry in fighting insider also assessed. This research work made use of the survey research design in its methodology. Surveys are more flexible in the sense that a wider range of information is collected. Questionnaires were used to gather data from representatives of the nineteen commercial banks operating in Ethiopia. Using SPSS Statistical methods such as mean, percentile and correlation were utilized to analyze the data collected from the respondents. Based on this study, insider threat like the Installation of unauthorized software threat and financial frauds are the some of the prevailed malicious activities of insiders within the Ethiopian banking industry. Most of the mitigation strategies which are mentioned on this study are utilized in many of the banks in various degrees. Dissatisfaction with immediate reporting manager, steal data for monetary gain, desire for recognition, and emotional distress (Employee is highly frustrated) are seems to be a motivation for insider threats. After identifying those prevailed insider threat and ,motivations within the Ethiopian banking industry ,this study provide recommendation and best practices from different literature review to mitigate those insiders malicious activities within the Ethiopian banking sectors
Automatic Classification of News Amharic Items: the Case of Ethiopian News Agency
(Addis Ababa University, 2001-07) Sintayehu Zelalem; Lamenew Workshet (PhD); Meshesha Million (PhD)
To organize its news stock efficiently and to facilitate the storage and retrieval of news items, Ethiopian News Agency (ENA) use a classification scheme developed in-house. With its large volume of news items produced each year, ENA is facing problems in classifying news items timely. This research has come up with Amharic News Classifier (ANC) that has the capability of classifying Amharic news items into the predefined classes automatically based on their content. The development of automatic document classification system passes through di fferent steps and there are different methods that can be used at each step. This research used stati stical techniques of automatic class ification in all the steps. The steps in automatic class ification include document analys is, generation of document and class vectors based on document and class representatives, and matching document and class vectors to determine the class where a document belongs. The process of document analysis reqUIres some preprocessmg activities such as stemming and stopword removal, which are language dependent. In this research, the key terms are stemmed using a simple depluralization and suffix and prefix removal program developed for this purpose. A database of stop word li st, which contains most frequently occurring Amharic words, was also developed. In addition, problems related to Amhatic language script were considered during text processing. To identify document representatives, tfX idf weighting technique is used. Class vectors, also called centroid vectors, are generated by computing the average value of document vectors. After identifying class representatives from the learning data set, cosine function is used as a matching technique to automatically classify the test data set that had no relation with the construction of the class vectors. The overall result of this research has showed that statistical techniques can be used to analyze Amharic news items and classify them automatically into predefined classes. After training the classifier, 273 out of 321 news items were correctly classified by the system. The result is very promising, however, additional works are recommended in order to implement the system.
Bandwidth Optimization Framework For Wide Area Network: The Case Of Addis Ababa University
(Addis Ababa University, 2016-10-12) Assefa Minilik; Lamenew Workshet (PhD)
Organizations Wide Area Networks are mostly designed to entertain the needs of several types of users. In the case of academic institution networks, the wide area network is mainly required serve the institutions users in order that it supports the main objective of the institution which is, supporting the teaching and learning process, research process and giving community service purposes. But because of the type of users that the wide area network of academic institutions encompasses, the use of the network resources by the users is highly different from other types of organizations. Academic institutions have a very special type of users, which are students that utilize the network resource in a different way from other organizations. Students mostly abuse network resources for different reasons like entertainment, experiment, to show their creativity by causing cyber-attack on some services in the wide area network or outside. Such type of users always tries to find a way of filling any available bandwidth and always use bandwidth. The act of doing such activities causes unbalanced use of network resources within the network users. This research aims to identify the cause of high bandwidth consumption by using log analysis tools with the view of developing bandwidth optimization framework that will enable the network to provide sustainable quality of service. In order to achieve the objective of this study the researcher have used proxy log analysis by using SAWMILL to identify the internet usage trend of the users. In addition to that measurement of resource utilization at the core layers of different campuses of the institution has been done in order to find a bottleneck factor at the core layer devices. The result of the study showed as there is a great resource abuse by some group of users in the network and as there is an unbalanced resource consumption among users of the network. The research result has shown as more than half of the internet bandwidth is getting consumed by less than 10 percent of the network users. To solve the issues mentioned WAN optimization framework was developed by using quality of service building blocks. In this research we did not incorporate network performance issues at the end devices.
Bridging the Gap between Business Strategy and IT Strategy: Exploring Strategic Alignment Gap
(Addis Ababa University, 2018-06-03) Solomon King; Lamenew Workshet (PhD)
We are in the midst of a “business-IT strategic alignment turn” and it is playing an important role in a mindset and guiding principle that ought to be visible in all parts of the relationship between business strategy and IT strategy. Over the last three decades, the need for the strategic alignment has been increasing tremendously. Alignment refers to the degree of integration between business and IT strategies. The increment in the advancement of information technology in business and industry turned information technology in to an indistinguishable part of business in all sectors including government, commerce, hospitality, healthcare, and academia. However, alignment in the context of exploring the business-IT strategic alignment gap particularly in the financial sector of a developing country is still less explored. This research attempts to provide an insight into this shortcoming via bridging the gap between business and IT strategies on the way to reveal best management practices and strategic choices of alignment in the selected case company. Using a qualitative, single case study approach this study provides major insights of knowledge into strategic alignment gap in principle and practice. Thus, a case study is conducted in one of the largest Ethiopian private banks. The data is collected through fourteen semi-structured interviews, structured interview and the use of company’s documents. The main findings showed that the lack of strategies in both business and IT departments, the lack of outsourcing oversight metrics, the delinquency to provide current requirements of business by IT, The lack of focus by IT department to meet the current business need, the lack of ability to use all of the existing core-banking system’s features, the ineffective way to delegate the right tasks to the right people, and the delinquency to capture knowledge from outsourcing providers considerably influence the business-IT strategic alignment within the bank in Ethiopia as a developing country. The study also proposes a practical framework that allows business and IT managers to bridge the strategic alignment gap. Through the use of this framework, strategic alignment gap is more likely to be revealed, detected and minimized in practice towards the benefit of organizational performance.
Computer Network Intrusion Detection: Machine Learning Approach
(Addis Ababa University, 2010-07) Teshome Adamu; Lamenew Workshet (PhD)
The conventional approach to securing computer systems against cyber threats is to design mechanisms such as firewalls, authentication tools, and virtual private networks that create a protective shield. However, these mechanisms almost always have vulnerabilities which are often, caused by careless design and implementation bugs. This has created the need for intrusion detection system that complements conventional security approaches by monitoring systems and identifying computer attacks. Traditional intrusion detection methods are based on human experts' extensive knowledge of attack signatures which are character strings in a messages payload that indicate malicious content. These methods have several limitations. They cannot detect novel attacks, because someone must manually revise the signature database beforehand for each new type of intrusion discovered. Once someone discovers a new attack and develops its signature, deploying that signature in all the system is very difficult. The need for efficient detection of newly emerging malicious acts is increasingly important. The limitations in the traditional intrusion detection systems and the need for more efficient systems led to an increasing interest in intrusion detection techniques based on data mining. The problems with the current researches on intrusion detection using data mining approach are that they try to minimize the error rate (make the classification decision to minimize the probability of error) by totally ignoring the cost that could be incurred. However, for many problem domains, the requirement is not merely to predict the most probable class label, since different types of errors carry different costs. Instances of such problems include authentication,v where the cost of allowing unauthorized access can be much greater than that of wrongly denying access to authorized individuals, and intrusion detection, where raising false alarms has a substantially lower cost than allowing an undetected intrusion. In such cases, it is preferable to make the classification decision that has minimum cost, rather than that with the lowest error rate. For this reason, we examine how cost-sensitive classification methods can be used in Intrusion Detection systems. The performance of the approach is evaluated under different experimental conditions and different classification models in comparison with the KDD Cup 99 winner results, in terms of average misclassification cost, as well as detection accuracy and false positive rates. Key words: Intrusion detection, Data mining, Cost sensitive learning.
Constructing Predictive Model for Subscription Fraud Detection Using Data Mining Techniques: The Case of Ethio-Telecom
(Addis Ababa University, 2013-06) Haddish Tesfay; Lamenew Workshet (PhD)
Access to telecommunications is critical to the development of all aspects of a nation‘s economy including manufacturing, banking, education, agriculture and government. However, the telecommunication services are not free from problem. Telecommunication fraud is the main problem of all telecom operators. Telecommunication fraud is the theft of telecommunication service (telephones, cell phones, computers etc.) or the use of telecommunication service to commit other forms of fraud. Victims include consumers, businesses and communication service providers. The subscription fraud is the most prevalent since with a stolen or manufactured identity, there is no need for a fraudster to tackle a digital network‘s encryption or authentication systems. This study is initiated with the aim of exploring the potential applicability of the data mining technology in developing models that can detect and predict pre paid mobile subscription fraud in Ethio-telecom service provision. The researcher selected around 25,000 records from six months collection of Call Detail Record data. After eliminating irrelevant and unnecessary data only a total of 21367 datasets are used for the purpose of conducting this study. The researcher also selected 14 attributes for this study based on their relevant for this research. The collected data has been preprocessed and prepared in a format suitable for the DM tasks. The study was conducted using WEKA software version 3.7.9 and four classification techniques namely J48, PART, Random forest and Multilayer perceptron of artificial neural network. As a result the Random forest algorithm registered better performance of 99.9251% accuracy running with 10-fold cross validation and used 14 attribute for this experimentation of this research. Future works are also implicated in this work.
Customers’ Perception towards Mobile Banking Security: The Case of Commercial Bank of Ethiopia in Addis Ababa.
(Addis Ababa University, 2016-06-04) Kindie Hailieeyesus; Lamenew Workshet (PhD)
Today, the advancement of mobile technologies has provided an opportunity for financial service providers in introducing new financial innovations. One of the emerging financial innovations introduced by financial service providers is mobile banking. This research tries to look into the customers’ perception towards mobile banking security at Commercial Bank of Ethiopia in Addis Ababa. There are a lot of literatures available on various online banking services like internet, ATM banking, on customer’ behavior and also on mobile banking adoption. However, the literature on customers’ perception on the mobile banking security aspect in case of Ethiopia is very limited on the contrary to other e-banking services, so this type of research plays a great importance in the area. In recent research and studies it was found out that while mobile banking applications have become popular in many countries and regions, these are not still widely used as expected. The main barrier that may be cited here is the concern of security by the customers’ towards using the system. The study is based on the research model that weaves two theoretical grounds. The research model includes basic constructs from the protection motivation theory (PMT) and also the two important constructs from the technology acceptance model (TAM) to be integrated with the first theory. What is more here, two important constructs were selected from the trust topology, since the PMT has a risk concept (construct),which is neglected in adoption theories, and also risk and trust are important concepts that go together. This makes our framework more comprehensive. A survey questionnaire was developed and employed to collect data from 170 customers. An interview was also conducted with the mobile and internet banking manager. Multi stage cluster sampling technique was used (random sampling to select the branches of the bank and convenient sampling to select respondents). Pretesting of the questionnaire was also done. The results of the data analysis contributes to the body of knowledge in the area by demonstrating that some factors such as perceived ease of use, trust belief ,self-efficacy, perceived risk, and perceived vulnerability are found to be strong factors affecting customers’ perception towards mobile banking security and a motivation to take protection action. The study also revealed that it is possible to determine customers’ perception towards mobile banking security by integrating constructs from different theoretical models. Although the study has its limitations, the implications of the results allow by providing practical recommendations to the banking industry, and directions for further work.
Data Center Virtualization Framework for Amhara Regional Health Bureau.
(Addis Ababa University, 2018-06-02) Admasu Hailemariam; Lamenew Workshet (PhD)
This research endeavor is about data center virtualization which is a critical issue in recent periods. It is critical because virtualization an enabler to other technologies including cloud computing. The ultimate goal of a data center is handling the organization data appropriately. The research area is Amhara regional health bureau data center. The regional health bureau runs physical data center in which a one application for one server architecture is exercised which have numerous barriers. Certain researches have been conducted on virtualization especially client virtualization, application virtualization and network virtualization. But, little attention was given for server virtualization. The general objective of the study is developing a data center virtualization framework for the regional health bureau. Design science research methodology was used which is intended to design the proposed framework. Problem identification and motivation, objective of the solution, design and development, demonstration, evaluation and finally communications of the design science research process steps are used. The general approach of the research is a design science approach in which Amhara regional health bureau was selected for a case and data was collected from information technology staffs of the regional health bureau using purposive sampling. Semi-structured interview, observation and document analysis were the data collection instruments used to gather appropriate data. After the qualitative data was gathered, it was finally analyzed using thematic coding analysis technique in which the result of interview was grouped in to main categories. From the analysis result it was clear that the physical data center is 1) not cost effective, 2) not scalable, 3) difficult to manage, 4) difficult to recover, 5) suffers for security issues etc. Experiment was used to check the resource utilization of both the physical machines and virtual machines and compared. By using both the experiment and the analysis result, virtualization framework was developed. In this study expert validation methods through focus group discussion were used to evaluate the developed framework. Hence the research finding is believed to be valid which assures the usability and applicability of the output of the study.
A Data Mining Approach for Intrusion Detection System Using Wrapper Based Feature Selection Method
(Addis Ababa University, 2014-06-06) Teffera Martha; Lamenew Workshet (PhD)
Data mining techniques can be used for network intrusion detection systems. Network traffic data are usually large in number of instances and in number of features. Different techniques are available in reducing large data set size. Applying data mining techniques on a large data set may result in wrong output and may also imply computational and time cost. Feature reduction by reducing redundant and irrelevant feature may be a good approach in finding optimal data for applying classification algorithms and finding out accurate result. The main challenge in building intrusion detection system is building a system which can identify newly introduced attack types which were not included in training set. Most intrusion detection systems are developed meant to identify already trained intrusion or attack types. The objective of this research is to explore the possibility of developing a predictive model for intrusion detection using efficient wrapper based feature selection technique. The data used for the research is NSL KDD data set which is a network traffic data with manually injected network intrusion attempts. In this research a wrapper based feature selection approach is used to identify an optimal subset of features from NSL-KDD data set. After applying wrapper based feature selection and using the induction algorithm to analyze the KDD data set a promising result has been obtained in classifying the different attack types in the NSL- KDD data set. The test set which has new attack types that were not included in the training data set seem to be effectively classified using the classification models built. Using the predictive model built, the attack types that were correctly identified were 95.16%. Which was a better result compared to the same algorithm being applied on data set on which filter based feature selection is used. Since wrapper based feature selection uses classification algorithms in evaluating the relevance and optimality of a feature the time complexity is significant. Finding techniques for reducing this problem is important by using techniques like reducing stopping criterions or by experimenting different combination of searching and evaluating algorithms.
Designing a Multi-Tiered Security Architecture Towards Information Infrastructure Protection for Nbe
(Addis Ababa University, 2020-10-10) Gezahegn Chamo; Lamenew Workshet (PhD)
Banking industry have increased dependency upon technology solution that enables their financial products and services but the convergence of technology renders to increasingly vulnerable to malicious attacks. As such, the need to ensure information infrastructure protection of the banking industry is a must and hence designing security architecture ought to be seen as a good manner. Multi-tiered security architecture is a term which has different security technologies and measures to protect against different vectors of attacks. The main objective of the thesis is to investigate and design a multi-tiered security architecture towards information infrastructure protection. To achieve the main objective, it‟s imperative to identify factors affecting information infrastructure protection. Therefore, a security architecture consisting three main themes: communication network, associated software‟s and delivered services was used to identify current practice in information infrastructure protection of the bank. Design science research methodology was employed to approach the design and development of the architecture following Peffer et al. (2007) process model. The design and development of the architecture passed through several stages, initially factors affecting information infrastructure protection were identified using the quantitative, qualitative, observation and network traffic analysis tool, and then these were used as design inputs. There were multiple brainstorming sessions for the design enhancement as participative modeling was the overall approach for the architecture design. Given the difference in scope and magnitude of the challenges identified in the study, the proposed architecture approaches information infrastructure protection through continuous improvement. The architecture was finally evaluated in terms of component‟s completeness, comprehensiveness and fitness to the organization through an evaluation questionnaire and expert interview, accordingly, the developed architecture has capable to protect information infrastructure of the organization.
Designing Dynamic Bandwidth Allocation Algorithm: the Case of Addis Ababa University Network (Aaunet)
(Addis Ababa University, 2018-01-04) Mekonen Fekadu; Lamenew Workshet (PhD)
Addis Ababa University (AAU) needs the Internet for many activities including learning, teaching, and publication. To facilitate those activities the university community uses different applications on Internet. Each applications have different bandwidth requirements, some of which are bandwidth greedy. Student also uses those application to access different resources on Internet. High student enrolments less supervised and more freedom of time to surf on Internet creates a high bandwidth demand and contribute to the slowness of the Internet connection making it ineffective to access academic resources. This is particularly true in academic institutes in developing countries. Instead of optimizing the existing bandwidth those Institutes responds to a slow Internet connection by adding more bandwidth which is uneconomical and a temporary solution. Addis Ababa University is not different from this scenario. This study was undertaken to find a way of allocating a decent amount of bandwidth to users. Dynamic bandwidth allocation algorithm was developed, in particular, an algorithm that allocates bandwidth based on user demand and bandwidth sharing. The prototype was developed to evaluate the algorithm and the requirements for algorithm development was collected from Addis Ababa University’s main campus network gateway using purposive sampling. The prototype was evaluated on simulated environment. Based on the Proxy logs statistics, there are unbalanced usage of Internet between users in the university. The result has shown that 2.7% of the Internet was used only by 10 users and most of those users generate a network traffic of 28GB and above in a single day with the highest of 42.92GB and a total of 298.31 GB of data, which requires for bandwidth management. To solve an unbalanced usage of Internet bandwidth, a dynamic bandwidth allocation algorithm was designed which classify users into different classes and assigned bandwidth for the class. The users in that specific class inherit the allocated bandwidth rate, with the option of extended the limit of usage if there is a bandwidth in the bucket. The algorithm also guarantee minimum bandwidth rate for every users who joins the network.
Designing Knowledge Sharing Platform for Health Care Professionals in Ethiopia
(Addis Ababa University, 2016-07) Yared Nebiyu; Assefa Demeke (PhD); Lamenew Workshet (PhD)
Background - The need for sharing health knowledge extends to professional needs like, clinical decision making, patient and practitioner’s education, experience enhancement and up-to-date information of medicine in the technology era. In Sub-Saharan region of Africa, where there is no adequate, books and reference materials especially for those professionals working in remote areas which are located away from cities, such absence of knowledge sharing widens the differences in knowledge of clinical practice that leads to variations in training and clinical experience which contributes the poor quality of services and service outcomes, among professionals in different setting which are a major causes of various catastrophes like medical errors. In Ethiopia, there is a gap in the area of knowledge and experience sharing practices among health professional’s routine practices after the completion of university training. Taking the opportunity of the advancement to information communication technology, even in remote areas, could fill this gap hence improve the quality and outcome of medical practices. Objective- the main objective of this project is to design a user friendly and functioning knowledge sharing platform that helps health professionals to share their knowledge and experiences with each other. Methodology- An object oriented system development methodology was used to gather requirement from FMOH, FMHACA and two selected hospitals in Addis Ababa. Total number of seventeen key informants were interviewed for requirement gathering. The gathered requirements were analyzed. Based on the requirement- interaction, behavior and structure of the proposed system were modeled using unified modeling language. The platform architecture was designed and the prototype was developed using HTML, PHP, MySQL. Finally, the prototype was evaluated using user acceptance testing. Result- The designed system has major functionalities of registration of health professionals including their various work experience and educational achievements. Storing of accumulated knowledge, discussion on a specific topic, retrieval of stored knowledge, locating health professionals as well as health care institutions were also the major functionalities. The newly designed system is enabled with reliable, adequate performance, advanced security features and attractive as well as easy to use user friendly interface. Conclusion: - The developed web based system can ease the effort towards disseminating and sharing medical knowledge. So that health care professional working at different locations irrespective of time and healthcare setting could have the same and comparable understanding towards the current treatment, policies, guide lines, procedural documents and various administrative directives.
Developing a framework for Evaluation of ERP Pre-Implementation Readiness: The Case of Dashen Bank Share Company.
(Addis Ababa University, 2016-02-01) Ayenew Zewdu; Lamenew Workshet (PhD)
In recent years the use of Enterprise Resource Planning (ERP) systems has been increasing in companies and government corporations in developed countries, while developing countries lag far behind. However, due to recent economic growth, developing countries such as Ethiopia are increasingly becoming major targets of ERP vendors. As a result, there is now an urgent need for understanding ERP implementation issues in developing countries. Since they face additional challenges related to economic, cultural and basic infrastructure issues. The purpose of this study is to investigate ERP Pre-implementation readiness using parameters (constructs) such as technical, organizational, and cultural in the context of Dashen Bank Share Company with the view to develop a framework for evaluation of ERP Pre-Implementation readiness and design a solution framework to address those issues. The Pre-implementation aspect is a critical step in the implementation process. We must take the necessary steps to ensure any company hits the ground running with their new system. For achieving the objective, the study adopted Somers and Nelson’s twenty two CSFs (Critical Success Factors) as theoretical (conceptual) framework. In their study, they included ten financial institutions among others to study what CSFs can be relevant and appropriate. I believe the CSFs can represent the financial institutions in our country too. The adopted and other critical factors are discussed widely in various literatures and those are believed to be the key factors for successful ERP implementations by different researchers. This study provides some key insights into the Pre-implementation readiness issues in commercial banks in Ethiopia. In addition, the study investigates the challenges faced by organizations implemented ERP systems referring literature reviews and factors influencing ERP implementation in general. This study employs survey method. Questionnaires were prepared based on the stated research model (theoretical framework). Twenty two end users from various departments of the organization with different job positions, roles, and work experience who also represented in the IT governance structure for ERP implementation were participated in this study. Purposive sampling were used for this research. These selected staff members are consisting of executive viii management, project managers, risk managers, IT professionals and department managers and were involved in their respective work unit’s business re-engineering processes for the proposed ERP implementation. Moreover, existing documents at the company were studied to gain more information about the company’s profile, business process studies performed by the consulting firm, business case studies and request for proposal documents to learn about the company and its initiatives for the specified project. The research can be taken as a framework that guides us through successful ERP Pre-implementation preparation and evaluation in commercial banks and can also be considered as a pre-investment activity on which we ask ourselves about the environment we are in. I believe it is a decent inquiry and a sensible decision to investigate what the ERP demands and our existing environment to reconcile the gap before we break out with the project. In order to answer the research questions and achieve the objective of the study, a critical success factors framework was adopted from Somers and Nelson and incorporated into eleven pillars to overall assess every dimension of organizational setup. These eleven pillars ultimately were classified under organizational, technological and cultural readiness aspects. The organizational aspect of the organization comprises five pillars namely: IT strategy and planning, IT governance, Risk Management, Capacity and Capability. The technological aspect of the organization was erected by three pillars namely: Application management, Service management and IT resource management. In relation to cultural aspect of the organization, communication, commitment and Change culture were identified as pillars. Questionnaires were prepared based on the eleven pillars I mentioned above. The questionnaires were distributed to twenty two participants and twenty of them successfully returned. The survey shows that the case company has limitations on the number of dimensions and has also shows areas the company must pay a visit to fill the gap. Based on the findings, this study proposes a framework for evaluation of ERP Pre-Implementation. This study is believed to ensure that we have a solid preparation and understanding about the upcoming implementation project, and in order to stay on timeline and within budget that can improve the implementation of ERP system in commercial banks. It is recommended that any organization interested in implementing ERP can use the proposed pre-implementation framework to addresses all aspects of an organization to attain implementation success.
Developing an Expert System for Computer and Network Troubleshooting
(Addis Ababa University, 2014-06) Ayde Amanuel; Lamenew Workshet (PhD)
Information and communication technology become crucial in any aspects of organizations activity to perform their tasks. However, computer and network troubleshooting services were not efficient in developing countries like Ethiopia as it is required to be. In Ethiopia, computer related problems are hot issues in different organizations those were using computer and computer related devices to perform their tasks. In computer domain the professionals were limited in number but the number of institutions looking for computer professionals was high. The major challenges in troubleshooting computer and network are lack of expertise to troubleshoot problems with hardware and software which is leading to problems such as connection and virus attaches. These and other computer related problems need maintenance from the ICT technicians. But the problems are not solved as required by the computer users due to different reasons (skill level of ICT technicians, limited number of ICT technical experts, turnover rate and motivation of ICT professionals). As a result of this, the main aim of this study is developing knowledge based expert system which is providing troubleshooting information about problems occurred in the computer system for the ICT technicians and computer users to solve problems effectively and efficiently to utilize computer and computer related resources. To achieve this objective, domain knowledge was acquired using semi-structured interview technique, observation and document analysis. Domain experts were selected from Jimma University ICT office using purposive sampling techniques. The conceptual model of the knowledge based system is designed by using a decision tree structure which is easy to understand and interpret the causes involved in computer troubleshooting. Based on the conceptual model, the prototype was developed with SWI WIN prolog by using ‗if – then‘ rules. The developed prototype uses backward chaining to infer the rules and provide appropriate recommendations. The prototype was evaluated by using different techniques and the performance of the prototype knowledge based system had got good acceptance by the system evaluators. According to the system evaluators 83.6% of the users were satisfied with the prototype. In addition, the performance of the system was evaluated by using predictive validation techniques with twelve test cases. The results of the validation test cases indicate that the prototype registers on the average 75% accuracy. The system is learning its facts but not fully update rules as well, which left for further research.
Developing Dynamic Bandwidth Allocation Prototype Model for Campus Network Based on Network Traffic Analysis
(Addis Ababa University, 2012-01) Weldegebriel Hailay; Lamenew Workshet (PhD)
Enterprise or campus networks usually impose a set of rules for users to access the network in order to protect network resources and enforce institutional policies (for instance, no sharing of music files or no gaming). This leaves network administrators with the daunting task of identifying the application associated with a traffic flow as early as possible and controlling user’s traffic when needed. Therefore, accurate and early network traffic analysis is an essential step for administrators to detect intrusion, malicious attacks, or forbidden applications. Hence, bandwidth management based on network traffic flow analysis is a researchable area which gives the owner of the research with lots of opportunity to assess the network behaviors. In this work protocol distribution and network traffic load analysis are conducted on different links based on real data. Besides, it is tried to assess the potential application of ntop for measuring the global protocol distribution based on the real data. Moreover, the ingoing and outgoing traffic load is analyzed using MRTG which is a versatile tool for graphing network data and it can run on a Web server. Every five minutes, it reads the inbound and outbound octet counter of the gateway router, and then logs the data to generate daily, weekly, monthly and yearly graphs for web pages. Weblog analysis consists in measuring the usage of relevant traffic activities. Weblog expert tracks web server log file, generating a series of statistics for each host, for operating system, for each browser, for each visitor and soon in the Mekele University (MU) inter campus network as a whole. Based on the traffic analysis at different links and web server of MU, a dynamic bandwidth allocator algorithm is proposed which consists of modules such as administration tool, which provides a graphical interface for configuring bandwidth allocation based on the different bandwidth demand in the intercampus network; policy agent, which implements the configuration and handles communication with the kernel module; kernel module, which implements the packet classifier, packet selector, bandwidth estimator, unique IP address counter, Host DBA and timer. Keywords: network traffic, Dynamic Bandwidth Allocation, Bandwidth Management.
Developing English-Tigrinya Machine-readable Bilingual Dictionary: an Input for Machine Translation
(Addis Ababa University, 2001-06) Gebreegziabher Mulu; Simon Gebremedhin (PhD); Lamenew Workshet (PhD)
The cultural, political, social, scientific and technological information of the advanced world including our country is mostly published in English language. Although English language is widely used in the country, the language barrier makes it difficult to use such information by the majority of the population.Translation is the best solution to overcome such language barrier. To translate such information to local languages using the human skill is on the one hand the oldest and the most accurate method on the other hand it is expensive and time consuming task. Nowadays, it is possible to translate a digitized text from one language into another using machine translation systems. As a result, cost is minimized and speed is maximized. However, to develop a machine translation system is a complex task. To reduce the complexity, the other alternative is to develop translation modules and integrate them rather than to develop self-contained and independent systems. Machine-readable dictionary is the main component or module of the machine translation system. This study therefore focuses on developing English-Tigrinya Bilingual Dictionary that can be used as input for machine translation system. The stated dictionary contains a lexicon for English and Tigrinya nouns. The noun forms and functions of both languages have been discussed and an attempt is made to compare the major similarities and differences.Based on the noun forms and functions of both languages, the bilingual dictionary is designed and the database for storing the lexicon is constructed. Next, a list of hundred English nouns and hundred Tigrinya nouns are entered to the database. Finally, an algorithm is developed to translate English noun forms to Tigrinya noun forms.

Browsing by Author "Lamenew Workshet (PhD)"

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