Browsing by Author "Teferi, Dereje (PhD)"

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    Afaan Oromo-English Cross-Lingual Information Retrieval (Clir): A Corpus Based Approach
    (Addis Ababa University, 2011-06) Bekele, Daniel; Teferi, Dereje (PhD)
    The goal of Cross Language Information Retrieval (CLIR) is to provide users with access to information that is in a different language from their queries. It has the ability to issue a query in one language and retrieve documents in another. This is achieved by designing a system where a query in one language can be compared with documents in another. Afaan Oromo is one of the major languages that are widely spoken and used in Ethiopia. Despite the fact that Afaan Oromo has a large number of speakers, little effort has been put in conducting researches which aim at making English documents available to Afaan Oromo speakers. This study is, therefore, an attempt to develop Afaan Oromo-English CLIR system which enables Afaan Oromo native speakers to access and retrieve the vast online information sources that are available in English by writing queries using their own (native) language. In this study, the development of a corpus-based CLIR system which makes use of wordbased query translation for Afaan Oromo-English language pairs and evaluation of the system on a corpus of test documents and queries prepared for this purpose is described. This approach requires the availability of parallel documents hence such documents are collected from Bible chapters, legal and some available religious documents. Evaluation of the system is conducted by both monolingual and bilingual retrievals. In the monolingual run, the Afaan Oromo queries are given to the system and Afaan Oromo documents are retrieved while in the bilingual run the Afaan Oromo queries are given to the system after being translated into English to retrieve English documents. For the bilingual run translation of Afaan Oromo queries into their English equivalent is done by using bilingual dictionary constructed from the collected parallel corpora. The performance of the system was measured by recall and precision. In the first phase of the experimentation, the maximum average precision value of 0.421and 0.304 are obtained for the Afaan Oromo and English documents respectively. The second phase of experimentation performs slightly better than the first. Maximum average precision value of 0.468 and 0.316 are obtained for the Afaan Oromo and English documents respectively. Therefore, with the use of large and cleaned parallel Afaan Oromo-English document collections, it is possible to develop CLIR for the language pairs.
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    The Application of Data Mining in Credit Risk Assessment: The Case of United Bank Sc
    (Addis Ababa University, 2013-06) Tesfaye, Mengistu; Teferi, Dereje (PhD)
    Credit facilities and investments are the cornerstones of the growing economy of Ethiopia. United Bank being one of the former private banks has played its own role in the economy by rendering loan facilities to the individuals and companies which are running business in various sectors. The bank uses internal and NBE credit policies, procedures and strictly followed manuals in various levels of credit committees before disbursing loan to customers. However, there are total defaulters and inconsistent loan repaying customers which declines the profitability of the bank in particular and threatens the growing economy of the country in general. While fueling the sprinting economy in the country, minimizing the possible defaulters is the prime concern of the bank. Identifying customers and contracts which are more likely to be inconsistent loan payers or defaulters is an important issue. This data mining research has been carried out to identify trends of good and bad or NPL (non-performing loan) patterns from the historic data and build predictive Model to assist the management of the bank. This research has used the last 7 years credit data of United Bank and applied various preprocessing activities to clean the data. An experiment has been conducted using the CRISP-DM (2000) Model using WEKA tool. Different parameters of WEKAJ48 Decision tree and Naïve Bayes classification algorithm were applied. The model developed using the J48 decision tree algorithm has showed highest classification accuracy of 96.6%. Generally, the result of this study has showed that the application of data mining in Credit data can bring valuable input to assist the decision of credit committees and management.
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    The Application of Data Mining in Crime Prevention: The Case of Oromia Police Commission
    (Addis Ababa University, 2003-07) Woldu, Leul; Tadesse, Ethiopia (PhD); Teferi, Dereje (PhD)
    Law enforcement agencies like that of police today are faced with large volume of data that must be processed and trans faced into useful intonation and hence data mining can greatly improve crime analysis and aid in reducing an d preventing crime. The purpose of this study is to explore the applicability of data mining technique in the efforts of crime prevention with particular emphasis to the Oromia Police Commission n an d to build a model that could help to extract crime patterns. With this objective decisis on trees and neural network were employed to classify crime records on the basis of the values of attributes crime label (Crime Label) and crime scene (Selle Label). Results of the experiments have shown that decision tree ha s classified crime records at an accuracy rate of 94 percent when the attribute Crime Label is used as a basis for class fiction. Where as, in the same experiment, the accuracy rate of neural networks is 92.5 percent. On the other hand , in the case of classification of records on the values of the attribute Scale Label decision tree h as shown an accuracy rat e of 85 percent while neural network revealed 80 percent. In both experiments the output indicated that decision tree performed better. Besides, decision tree generated understandable rules that could be easily presented in human language and thus police officers can make use of these rules for designing crime prevention strategies. Thus, this experiment has proved that data mining is valuable to Support the crime prevention process and particularly, decision trees seem more appropriate for the domain problem.
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    Application of Data Mining Techniques to Predict Customers’churn At Commercial Bank of Ethiopia
    (Addis Ababa University, 2013-09) Gebremeskel, Kassahun; Teferi, Dereje (PhD); Beshah, Tibebe (PhD)
    Data mining tools and techniques are being used to solve different types of problems in various industries. Predicting customers‘ churn is one of the areas where data mining can be applied. Customers‘ churn, which is the common measure of lost customers, is one of the major problems in industries such as banks where there is a fierce competition. By minimizing the number of churning customers companies can maximize their profit and sustainability. For this reason, customer retention is critical for a good marketing and a customer relationship management strategy. This paper presents the prediction of customers, who are prone to move to a competitor, in Commercial Bank of Ethiopia. The data of 13172 customers with 9 attributes and their corresponding 628,634 transactions with 10 attributes is collected from the bank. The CRISP-DM methodology is followed to conduct the data mining process. After the business is thoroughly analyzed and the goals are clearly identified, successive steps of a data preparation processes are undertaken. A dataset of 6045 instances and 18 attributes is prepared. A WEKA (Waikato Environment for Knowledge Analysis) tool is used for modeling. The dataset is partitioned into different sets of testing and training sets. As the proportion of the churn class is very small as compared to the active (non-churn) class, SMOTE (Synthetic Minority Oversampling Technique) has been applied to minimize the class imbalance problem. Three modeling techniques are used for predicting churn. These are J48, Logistic Regression, and Bagging. The training models are built using cross validation and tested for reliability by separate test sets. The models are evaluated by their F-Measure values (which is the harmonic mean of recall and precision). The results of the study show that J48 modeling technique is the best model with a performance of 94.8% followed by bagging (93.9%) and Logistic Regression (76.6%).
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    The Application of Information Retrieval Techniques to Amharic Documents on the Web
    (Addis Ababa University, 2001-07) Amsalu, Saba; Teferi, Dereje (PhD); Meshesha, Million (PhD)
    The World Wide Web is an escalating mass of interconnected data that stretches from computer to computer across the world. Information retrieval systems on the Web provide users with relevant information without human intervention, saving time, labor and money. The Web contains documents of diverse content in different languages. Making those documents accessible to users has become a difficult task with the fast growth of the Web. Hence developing information retrieval systems to cope with inherent features of Web data has been a research area of tile time in information science. In this study an attempt is made to explore the possibilities of applying some information retrieval techniques for Amharic documents on the Web. To back tile research, literature review on related works has been made. Different information retrieval techniques and algorithms used on other languages have been reviewed to determine the possibilities of applying them to Amharic documents on the Web. A database that stores Amharic Web page data, suffix list and index files has been designed. Web page submission form was developed to allow the submission of Web page data into the database. Designing an Amharic •query input interface was also part of the research. Automatic indexing and searching techniques have been applied on a collection of 313 Web pages of Amharic documents taken from Walta Information Center news publications. Word and stem inverted index options were explored. An Amharic search interface was then created to handle Amharic data on the Web using ColdFusion Studio and ColdFusion Server 4.0 on Windows NT 4.0 Operating System and Internet Information Server (liS). The searching algorithm that was implemented is Expended Boolean model, which is a Boolean model with a vector functionality that allowed to rank retrieved documents. To measure tile performance of the prototype system, retrieval experiments have been conducted for twenty-two queries and an average recall-precision graph is drawn. Using terms with suffixes and prefixes removed resulted in a better performance than using words Finally, conclusions are drawn based on the test results obtained and recommendations are made as 10 what further researches could be done for the development of Amharic information retrieval systems on the Web.
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    Assessing the Effect of Human Error Factors to Cbe Information Security
    (Addis Ababa University, 2020-01-01) Setu, Mihret; Teferi, Dereje (PhD)
    Humans have been known as the weakest link within information security chain. Organizations often face information security incidents as a result of human error mostly because they tend to emphasise and invest on technical security controls rather than the human factor. However, organizations have begun to show interest towards improving their security regarding the human element or their employees. In recognizing this fact, a lot of attempts have been done. This includes incident responses and training of employees. There are at least two categories of practices for securing the human factor. The first category is a retrospective approach which involves review of previous incidents and determining the root cause of the incident in terms of human error. And the second category is a prospective approach which assigns quantitative probabilities to identify high risk sections. The latter is used to implement solutions to mitigate the high risk tasks and few researchers studied on this area. Evaluation of the current state is the first step towards improving the approach. The purpose of this research is to identify the factors causing human errors within CBE regarding information security. This is followed by a literature review of human errors in information security. The paper also discusses the role of human factors and how the information security research community has recognised the increasingly crucial role of human behaviour in many security failures. The research was conducted as a case study within a public financial sector organization, CBE. In the case study, HEART, one of Human Reliability Analysis (HRA) method is applied to selected divisions of the bank. In order to keep validity, pilot test on the checklist questions for the semi-structured interview is done by selected respondents before data collection began. The feedback was used to update the contents. The study involved 45 interviewees out of 63 potential interviewees from different roles including branch operations officers, system administrators, IT officers, finance officers and managers, and quality and process officers. After assessing the current state of the bank concerning human factor information security, the most unreliable tasks in the bank were human resources, finances and branch offices. Divisions with relatively high human involvement have shown significant error probability. Accordingly, human resource is predicted to be the most probable office for human error with the probability of failure being 0.058. System information confirmation /feedback inadequacy contributes the highest among the factors for error which is 40.91% within human resource division. In general operator inexperience, highly repetitive tasks and delayed or unclear system confirmation are projected to be the top causes or factors for human error in the bank. This is mainly attributable to the lack of attention given to the soft factors that impact any employee activity by higher managers. In order to minimize the effects that take advantage of those xiii factors the researcher give improvement area recommendation based on exhaustive literature review and practiced HEART remedial/preventive measures. The research targets are stakeholders, individuals who are in charge of securing the assets of their organizations and institutions. Among the top error producing factors prolonged & repetitive activities, inexperienced person performing at the bank and inadequacy system feedback showed high probability to errors.
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    Assessing the Status of Business Intelligence Information System: The Case of Nib International Bank
    (Addis Ababa University, 2021-04-25) Fekade, Firehiwot; Teferi, Dereje (PhD)
    Companies are having a hard time dealing with challenges such as Server capacity, information load, limited applications, data processing, and network interruptions. A good BI system infrastructure can improve their performance. Several researches contributed several methods of system development for better management of business intelligence. But none or only few of these researches specifically cover the banking sector in Ethiopia. In 2013 Nib International Bank launched TEMENOS Insight system, the 2010 version, in order to deal with the business intelligence in decision making, queries, reports and online analytical processing (OLAP). This study tried to make extensive literature review and exploration of on-premise and cloud-based BI models and architecture with their respective benefits and challenges. Consequently, the survey concluded an integrated hybrid business intelligence model and related architecture are essential for better performance of the bank. BI users and experts were targeted for the case study to evaluate the banking system, related hardware and their implementations in a quantitative survey. Some changes in the IT infrastructure are found to be essential in order to realize the full potentials of BI system. The survey suggested additional IT infrastructure components for the banking system; for example, Middleware for Data Warehouse Layer, Visualization MapReduce services for architecture Service layer & Business Process Execution Language (BPEL) for End User Layer. Generally, the bank carries out on-premise BI deployment model with all the necessary hardware, software and application systems residing in the headquarter of the bank. But it was identified that, the bank is dealing with several difficulties in the existing deployment design consisting of separately arranged layers. The survey results recognized that the enhanced and integrated hybrid BI system was found to be appropriate for managing large volumes of data and classified information from various sources. Basically, IT systems need continuous development, checkup and upgrading. These changes can enhance the current level of skill in BI system operations. The IT infrastructure can also become easy to follow up for maintenance and update purposes in a well-organized way.
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    Automatic Amharic Factual Question Generation from Historic Text Using Rule Based Approach
    (Addis Ababa University, 2021-06-28) Damtie, Getaneh; Teferi, Dereje (PhD)
    Nowadays, due to the availability of digital devices, important educational materials in a variety of languages have become available. However, these texts do not have sufficient amount of practical questions and assessments. Manually preparing meaningful and relevant questions from such materials is a time-consuming and difficult endeavor that necessitates expertise, experience, and resources. This research addresses the problem by automatically generating questions from Amharic texts, with a particular focus on automating the construction of factual questions from text. The automatic Amharic factual question generation systems, which is developed in this research, takes a historical text as input and produces a set of possible questions as output. Historical texts contain various named entities such as names of persons, locations name, cities name, countries name, dates and other entities, which helps to generate many questions. The methodology used in this study is design science. It has six main activities namely, problem identification and motivation, defining objectives, design and development, demonstration, evaluation and communication. The current research used Part of Speech (PoS) tagger and Named Entity Recognition (NER). The PoS aids in the development of NER. The NER was also utilized to identify answer keywords and generate probable question phrases. In addition, informative sentence selection is used to select informative sentences from the text based on NER and using a certain rules. Transformation rules are used to construct questions from sentences. A prototype is developed using python. Human-evaluator is used to evaluate the question generation system. The experimental results showed 86.4% accuracy for PoS tagger, 82.0% accuracy for NER and 95.3% accuracy for relevant sentence selection. The experimental results of each question type got 94.1% accuracy for “ስንት” (how much/many), 91.6% accuracy for “ማን” (who), 83.3% accuracy for “መቼ” (When) and 73.0% accuracy for “የት” (where). The overall question generation system come up with 84.6% of accuracy. This shows that the system has high accuracy in question type “ስንት” (how much/many) and needs some improvement in question type “የት” (where). The system gives a good results for some question types. Accordingly, it is concluded that the system gives a good accuracy for a good coverage of domain specific datasets and also defining more rules by adding more word classes. For future works, forming new rules to improve the existing rules by adding more word classes, handling exceptions, preparing more domain specific training datasets, preparing common automatic question generation architecture and evaluation techniques are recommended.
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    A Big Data Management Framework for Wegagen Bank S.C
    (Addis Ababa University, 2020-09-09) Fikiru, Zekarias; Teferi, Dereje (PhD)
    The Ethiopian banking industry is one of the fastest growing in the economy, Wegagen Bank is one of the pioneer private banks in Ethiopia and it is among the top list of banks in the country. The financial services industry is amongst the most data driven and increasingly facing the challenge of big data where very huge quantities of structured and unstructured data stored in a variety of systems and formats. Big data draws global attention and can be best described using volume, variety and velocity. Big data refers to environment in which data sets have grown too large to be handled, managed, stored and retrieved in an acceptable timeframe. Given the enormous growth of data, banks are suffering from their inability to effectively exploit their data assets. Utilizing this data in a productive way is the need for banks and also for all data driven businesses. The recent advancement in ICT and digital data has led organization to efficient decision-making. These days’ organizations can store huge amounts of data, which can be accessible at any time. Big Data management refers to the management of huge volumes of an organization’s data, exploiting it in the organization’s decision-making using different analytical tools. The promise of big data in the field of banking is great. Big Data emergence provides great opportunities, but it also brings challenges. However, for Big Data management, data has to be prepared in a timely manner, keeping in view the consistency and reliability of the data, and being able to trust its source and the meaningfulness of the result. This study aims to explore the existing Big Data management frameworks and the Information Systems Design Research (ISDR) approach was employed. Data was collected through survey questionnaire and interview with IT staffs including IT support staffs, e-banking officers, network admins, system admins and database managers and the result has been interpreted. The study proposes a new framework specifically for Wegagen Bank S.C. The proposed framework consists of three domains and within the domains there are sixteen components. As a framework evaluation, it is evaluated by experts and also the proposed framework has been compared with the ISO 8000 data governance framework.
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    Bilingual Script Identification for Optical Character Recognition of Amharic and English Printed Document
    (Addis Ababa University, 2011-06) Abebe, Sertse; Teferi, Dereje (PhD)
    OCR is a type of document image analysis techniques to recognize the informative content in the text documents to be archived in softcopy for different purposes. The technique involves in conversion of the given image of text to its most probable similar character in a given domain language scripts. A line of a multilingual document page may contain text words in different languages. To recognize, such a document page, it is necessary to identify different script forms before running an individual OCR system. In this paper, a system that distinctly identifies Amharic and English Scripts from a document image is presented. The system addresses the language identification problem on the word level. In extracting the important feature values of word-image of the scripts, preprocessing activities such as noise removal, binarization, segmentation, size and style normalization activities are performed. Maximum Horizontal Projection profiles from three selected region, extent of the word image, and the ratio of the number of connected component to the word-image width are the important feature value to discriminate the two languages script. Support Vector Machine algorithm is applied to classify new instance word images. The proposed algorithm is tested with significant number of words with various font styles and sizes. The results obtained are quite promising and encouraging
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    Challenges and Prospects of Agent Banking In Ethiopia: the Case of M-Birr and Cbe-Birr
    (Addis Ababa University, 2018-06-02) Demeke, Henos; Teferi, Dereje (PhD)
    The aim of this research is to discover factors and challenges that are affecting the development of Agent Banking in Ethiopia, and develop a model that describes the factors with technology acceptance model (TAM). In addition the study tries to determine agent banking level of penetration or accessibility in Ethiopia and its prospects. In this study mixed approach is used to answer the research questions and accomplish its objectives. Purposive sampling is used to select participants for the interview and two concerned and knowledgeable staffs form CBE-BIRR and M-BIRR are selected. Questionnaire is used to collect data from customers of five branches of commercial bank of Ethiopia who are active users of additive mobile banking (mobile banking service which is linked with customers’ bank account). The result of the research identifies different factors grouped in five constructs of technology acceptance model. These factors and sub-factors are Perceived Economic factor (Cost of using bank account), Perceived usefulness (Actual /practical benefits) Perceived ease of use (illiteracy, Awareness, mobile network quality), Perceived Trust (trust to the bank, trust to the agents, trust to the technology), Perceived Risk (Vulnerability to Errors and Vulnerability to Hackers). Finally a model is designed using Smart PLS Version 3.2.7. Challenges regarding development of agent banking are also discussed with service providers and agents. To this end, different challenges are raised and discussed during the interview including awareness of customers and agents, availability of limited services, NBE regulations and limitations, lack of budget, poor advertisement, illiteracy and mobile network quality. Based on the results of the study the researcher recommends the following points to improve current performance of agent banking i.e. developing new channel for illiterates, availing new and additional services, proper advertisements and the need for more effort on improvement of the actual benefits.
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    A Cloud Computing Framework for Ethiopian Banking Industry
    (Addis Ababa University, 2013-05) Abere, Alemayehu; Teferi, Dereje (PhD)
    Acquisition and use of information technology affect banks` on every front of their business processes. Substantial, banks spend highinvestment on IT to position themselves for mergers or acquisitions, to simply protect their competitive advantages, or to expand geographical coverage into the marketplace. In today’s difficult business and economic climate challenged by complex and changing customer and line of business needs, banksare confront problems in providing necessary IT supports to deliver services to customers, partners, and employees anytime, on their preferred device, through the optimum channel.The objective of this research work is to find an alternative solution for acquisition and use of information technology to deliver efficient, flexible and scalable IT services for leveraging Ethiopian Banking Industries from innovative technologies. Interview and a concise survey on cloud computing were used as the research methodology for this study. Interview was selected for information acquisition method from the selected IT managers of banks. On the other hand a concise survey of concerning literatures on the existing state-of-the-art in Cloud provisioning, management and securitywere conducted. The overall system architecture and its elements that form collaborative Cloud infrastructures in banking sectors, and best practices on cloud-based service implementations from the early adopter banks in the world also explored in this study. The advantages of cloud computing for banking sectors, the limitations of current ICT usages in EBI were briefly discussed in this research paper. Also, an alternative solution to the current ICT utilizationslimitations in EBI is given. The study proposed Hybrid Cloud Computing model. The result shows that the proposed cloud computing service framework can have a capabilities for reducing IT investment cost and management complexity, efficient IT utilization for delivering banking services andimprove collaboration among partners. When the proposed framework implemented it could have significant importance to EBI. Keywords: Cloud Computing, Ethiopian Banking Industries
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    Constructing A Predictive Model For Determining Cd4 Status of Patients Following Art: The Case of Jimma and Bonga Hospitals
    (Addis Ababa University, 2012-06) G/Mariam, Behailu; Teferi, Dereje (PhD); Mitike, Getinet (PhD)
    Background: Many of the reports on HIV/AIDS shows that the number of ART registered patients are increasing from time to time. However those reports show that the increasing of patient’s number, they did not try to make prediction of attributes based on the given attributes more than statistical explanation. This study concerned to use data mining technique on ART data base. The study data was taken from two hospitals of the south west of Ethiopia namely Jimma and Bonga hospitals. Objective: The main objective of the study is to integrate the applicability of data mining techniques on predicting CD4 status of patients following ART in Jimma, and Bonga Hospitals. The main goal of this research is to find the pattern of attributes of the patient in order to build predictive model using data mining techniques. Methodology: The study followed the CRISP-DM data mining methodology, which has six phases called: business understanding, data understanding, data preparation, model building, evaluation and deployment. The study used classification to predict the status of CD4 of patients following ART. J48 is a technique used for building classification and PART is used to compare the result of J48. Findings: The best performance achieved by J48 decision tree algorithm is a generalized decision tree with pruning with reduced attributes. The model classifies instances correctly 88.79% and incorrectly classifies 11.21%. The weighted average precision of the model is 0.88 with recall of 0.89 and ROC area of 0.85. The model has 760 numbers of leaves and 916 tree size. The time taken to build the model is 0.05 seconds. The analysis of this model shows that the model is quit efficient to predict CD4 status of patients following ART. Conclusion: Classification done using J48 decision tree is the best model than PART rule induction algorithm. J48 algorithm is effective to predict the CD4 status of patients following ART. From the model built it is fund that attributes: Eligible reason, ART status, ART start year, OAweight, OAWHO stage, Current regimen, Family planning, Functional status, Marital status, Past ARV are the most determining factors of CD4 status.
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    Construction of English-Amharic Electronic Subject Dictionary for Science And Technology Terms: An Experiment With Mathema Tical Terms
    (Addis Ababa University, 2001-06) Hailemariam, Sebsibe; Teferi, Dereje (PhD); Gemeda, Demissu (PhD)
    This thesis focuses on the construction of English-Amharic electronic subject dictionary for science and technology mathematical terms Development of the local languages in the third world countries becomes important issue for devel o ping and keeping cultural heritage. The problem and solution to make Amharic a medium of instruction are investigated in the research. The existence of the electronic dictionary for science and technology terms will promote the performance of professionals to translate science and technology documents and to prepare document in the field.An information system is developed that provide basic information and the procedures are described in this document . The performance of the system is also tested using document file and user queries as inputs. The result shows the output information accuracy is inversely proportional to the number of concept bearing words in t he query.
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    Customers Adoption of E-Government Services
    (Addis Ababa University, 2020-01-06) Feyisa, Bethlehem; Teferi, Dereje (PhD)
    E-government involves extensive use of ICT to deliver government information and services to citizens. In Ethiopia, online electronic government services have been launched and implemented for nearly a decade now. Yet, it has not reached the point where it is fully adopted and utilized by customers. Therefore, it is important to identify significant factors that could encourage customers to adopt e-government and its services. This research is the first of its kind to widely study the factors influencing the adoption of e-government services on the customers of three different Ethiopian government offices. The study employed a quantitative, cross-sectional survey and used printed questionnaire to collect data from study participants and total of 294 usable responses were returned. The proposed model for identifying influential factors on e-government adoption was tested using the structural equation modeling partial least square technique. The finding revealed performance expectancy, effort expectancy, awareness, website quality, and trust in the government are confirmed to influence customers’ behavioral intention to use e-government services. Whereas, facilitating condition and behavioral intention determines customers’ use behavior. However, the impact of social influence and trust in the internet constructs were not found to be significant. Accordingly, the study produced several recommendations the government of Ethiopian should consider to enhance customers' adoption of e-government services. The government should focus on improving the functionality of the national e-services portal into an efficient, easy to use, and available system that needs no personal visit. The government must make awareness campaign about e-government, its services and benefits associated with the use of these services. Governemnt employees’ ability to offer quality services should be improved through offering different workshops, seminars, and other self-development training programs to get the technical skills necessary to execute and secure e-government systems. Moreover, the government should work on the formulation of laws, rules,and regulations that can make customers feel safe and secure to use e-services and support the use of these services by enabling other technical, infrastructure, and technological support.
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    Design and Development of a Records Management System for Immunization In Addis Ababa The Case of Nifase Silke Lafto Sub-City Woreda Health Center
    (Addis Ababa University, 2015-06) Yitayew, Abraham; Teferi, Dereje (PhD); Belachew, Ayele (PhD)
    Keeping a record of immunizations helps make sure child gets all the vaccines they need at the right times. All child need a record of their immunizations before they go to child care, school, camp, long-term care facilities, or for travel abroad. The main purpose of this project is to design and develop a computerized record management system for immunization in case of Nifase Silek Lafto Sub-City Woreda One Health Center. The project will automate the entire process of immunization at the Health Centre by capturing all immunization details. Besides reducing paper work and use of immunization preformatted registry form. In a computerized record management system data was presented using business process modeling, use case diagram, use case description, sequence diagrams, class diagrams, deployment diagram.Hyper Text Markup Language(HTML) and Cascading Style Sheets(CSS) were used as the languages of preference for the design of user input and output interfaces and PHP(Hypertext Preprocessor) used as a scripting language for linking the interfaces to the SQL(Structured Query Language) database(s) The system is simple and easy to use. It has functionalities to facilitate registration of children and their parents, searching and data retrieval and report generation. This computerized record management system for immunization is therefore recommended for use not only in Nifase Silke Lafto Woreda One Health Center but also in all Woreda Health Center found in Addis Ababa City Administration.
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    Design and Development of a Web- Based Medical Equipment Information System for Saint. Paul Hospital
    (Addis Ababa University, 2016-06) Tilahun, Getaneh; Teferi, Dereje (PhD)
    Introduction: Medical equipment is used for the specific purposes of diagnosis, treatment, or rehabilitation of disease or injury, and can be used either alone or in combination with any accessory, consumable or other medical equipment. Medical equipment excludes implantable, Scale up the system to support the management of equipment performance after the installation disposable or single-use medical devices. Objective: The objective of this project is to design Web- Based Medical Equipment Information Management System, for Saint Paul Hospital Millennium Medical College Methodology: The project will use object oriented system analysis and design approach and includes requirement gathering tools such as (interview, observation and document review techniques) to collect sufficient information needed for the system to be developed. Analysis and design of the proposed system will be performed using the UML like the use case modeling and use case diagram. Discussion of Result: The use case diagram identifies all the process and system boundary of the proposed system. Eleven processes were identified with their corresponding actors. objects of the system were identified and modeled using the class diagram. The flow and sequence of the processes were presented using the sequence diagrams. User prototype was modeled for the system usability testing. Conclusion: In the process of analysis and design this system, the investigator recognizes that the boundary of the system somehow overlaps with the system of pharmacy store, which captures the information of medical equipment at initial. The existing system documentation is not well organized and complete, that makes the investigator depends on literature to design the system. Recommendation: - The hospital is recommended to initiate the revision of the pharmacy store computer system by; Reinforcing the supporting stakeholder to include medical equipment information into the system and Scale up the system to support the management of equipment performance after the installation
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    Developing an Interactive Voice Response System for behavioral change communication in Ethiopia
    (Addis Ababa University, 2017-06) Tsegaye, Abenezer; Teferi, Dereje (PhD); Girma, Eshetu (PhD)
    Background: Ethiopia is undergoing a heavy health care burden, mainly attributed to communicable diseases and nutritional deficiencies. The Federal Ministry of Health aims to improve health through the Health Extension Program (HEP). On the other hand, the number of mobile phone subscribers in Ethiopia has shown a significant increase. The use of voice message can deliver the kind of universal access, including the portion of population that doesn’t know how to read, to support prevention services. Interactive Voice Response (IVR) is a phone system technology that allows a computer to interact with humans by using pre-recorded or computer generated voice responses via Dual Tone Multi-Frequency (DTMF) signal. Objective: The main objective of the project is developing and testing the BCC-IVR system to improve health outcomes of selected major health problems in Ethiopia. Methodology: The requirement collection used guided discussion with 25 participants, 12 residents and 13 health care professionals and document review. After data collection, functional and nonfunctional requirements were identified and analyzed using UML’s Use Case diagram, Class diagram, Activity diagram and Sequence diagram. Implementation: During implementation this project the prototype has shown how to create the services in Asterisk. The flow of BCC-IVR system is implemented in the dial plan and the user interacts by using telephone keypad with the asterisk server. The IVR system has a three-tier architecture model made up of presentation, application/logic, and storage layers. After implementation, the BCC-IVR system is evaluated by 9 English and Amharic speakers to identify and correct functionality issues and ensure usability. Result: The result of this project is a Behavioral Change Communication Interactive Voice Response system accessible from any phone under the same network. The resulting BCC-IVR system includes information on Reproductive care, Sanitation and environmental hygiene, Nutrition, Cancer and Periodical Screening and treatment and First-Aid. The information on the health topics is presented in English and Amharic Languages. Conclusion: Universal access is the important while providing information. People should be able to choose the access method that suits them. Literate people might still be more comfortable with written information, but the need for voice information is also there, mainly for illiterate and visually impaired people. The IVR system is accessible, helpful, inexpensive to implement and easy to learn tool to deliver Behavioral Change Communication Messages.
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    Digital Maturity Assessment Model for Ethio-Telecom Network and Security Sectors
    (Addis Ababa University, 2020-07-01) Getachew, Meaza; Teferi, Dereje (PhD)
    Telecom companies are unfolding going through the digital era. In the process of becoming fully digital service providers, the process of maturity in all aspects is crucial. Measuring the level of development for telecom companies nowadays is necessary to keep pace with the rapidly growing digital technologies. Maturity models are important tools for the measurement of the analysis of the as-is situation of companies and the future to be goals by defining the level of growth and the expected attainable requirements. Telecom network is the heart of digital services and secure network strategies and workflows are important to deliver those services. Despite the variety of researcher undertaken on digital maturity areas, there have been no studies conducted on telecom digital maturity, specifically on domain-centric maturity assessment models in Ethiopia. Hence, in this research an assessment has been done using a mixed-method design aimed to develop a domain-specific digital maturity model; a case study research has been conducted to gather quantitative data from 117 respondents from the selected network and security divisions and another 9 respondents are interviewed for the qualitative data collection part. The analysis of both data is performed using SPSS and Nvivo 12 qualitative data analysis software. The qualitative analysis revealed that the sections have low ratings on technological dimensions mainly on analytics technology, and on strategy, leadership, and innovation aspects. On the basis of quantitative data findings, the study looks at how digital leadership can maintain the innovation process within the sections and the analysis explains that effective leadership skills focusing on the practice of knowledge sharing brings in a shift of innovation process to the next stage. The contribution of this study is in two forms, the first one is assessing the current level of maturity for network and security sectors using a generally accepted maturity model and secondly, developing domain-specific maturity model by using the outcomes gained from the assessment.
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    E-health Policies in the Ethiopian Policy and Strategy Documents: Content Analysis
    (Addis Ababa University, 2013-05) Tezera, Robel; Teferi, Dereje (PhD)
    Background: E-health may play a major role to improve the quality, efficiency and access of health care services. However, there are also numerous factors that affect the successful deployment of E-health including political commitment, lack of collaboration, lack of standards and interoperability, and lack of funds. So, successful implementation of E-health is largely depends on clearly defined E-health policy and strategy that can address all these challenges. Objectives: The overall objective of this thesis was ―to analyze the content of E-health policies in ICT and E-health policy and strategy documents of Ethiopia‖. Methods: the research method chosen for this study was Qualitative content analysis. Qualitative data were collected by using literature review and document analysis. Three E-health policy documents issued by government were included in the study. A hybrid inductive and deductive content analysis was used to provide an in depth analysis on the selected documents. Results: After I conducted the literature review, new E-health policy frame work was developed for deductive analysis. The result show limited participation of non –governmental entities in the development of policy documents. Policy issues like human resource, infrastructure, and governance were described in detailed. Policy issues like liability, reimbursement, and private funding are not mentioned by the policy documents. Conclusion and Recommendation: the finding suggests that, the national E-health policy should be developed based on strategic framework in order to include all the relevant E-health policy issues and to ensure successful implementation of E-health in Ethiopia.