Browsing by Author "Yilma, Daniel"

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    Expert System Development for Teff Variety Selection and Disorder Management
    (Addis Ababa University, 2011-02-02) Yilma, Daniel; Midekso, Dida (PhD)
    This paper presents a web-based expert system for Teff crop in Ethiopia. Teff is one of the major cereal crops in Ethiopia. It is cultivated in vast areas and ranked first with regard to its area of coverage compared to other cereal crops of the country. In Ethiopia, farmers obtain information about new agricultural technologies from agricultural extension workers who occupy a strategic position in the agricultural production cycle. They mediate between the farmers and researchers. The extension workers obtain information about Teff improved technologies when extension documents are distributed. This way of information transfer has its own limitation. The information is static, not easily available and may not respond to users‟ specific needs since the documents give general recommendation. During this situation the extension workers look for agricultural experts‟ assistance. But experts are not always available. This project is an effort in solving the problems faced by the extension workers when the services of the experts are not available. In this project a web based expert system has been developed. The system would help users to easily select appropriate Teff varieties which reflects their agro ecological zone and their interest, and also provides proper consultation in relation to identifying the causes of the crop disorder and recommending possible measures to be taken. The system has been evaluated by domain experts and extension workers. The analysis of the result shows that the system is acceptable.
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    Expert System Development for Teff Variety Selection and Disorder Management
    (Addis Ababa University, 2/2/2011) Yilma, Daniel; Midekso, Dida (PhD)
    This paper presents a web-based expert system for Teff crop in Ethiopia. Teff is one of the major cereal crops in Ethiopia. It is cultivated in vast areas and ranked first with regard to its area of coverage compared to other cereal crops of the country. In Ethiopia, farmers obtain information about new agricultural technologies from agricultural extension workers who occupy a strategic position in the agricultural production cycle. They mediate between the farmers and researchers. The extension workers obtain information about Teff improved technologies when extension documents are distributed. This way of information transfer has its own limitation. The information is static, not easily available and may not respond to users‟ specific needs since the documents give general recommendation. During this situation the extension workers look for agricultural experts‟ assistance. But experts are not always available. This project is an effort in solving the problems faced by the extension workers when the services of the experts are not available. In this project a web based expert system has been developed. The system would help users to easily select appropriate Teff varieties which reflects their agro ecological zone and their interest, and also provides proper consultation in relation to identifying the causes of the crop disorder and recommending possible measures to be taken. The system has been evaluated by domain experts and extension workers. The analysis of the result shows that the system is acceptable.
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    Factors Affecting Consumers’ Purchase Decision of locally Assembled Automobiles in Addis Ababa: The Case of Lifan Motors Automobile
    (Addis Ababa University, 2018-06-17) Yilma, Daniel; Mesfin, Tewodros (PhD)
    It is very crucial for every automobile company and all stake holder of the industry to have deeper understanding regarding the factors that influence the purchasing behavior of consumers towards the product they offer. The purpose of this paper is to examine the influence of the factors on customers purchase decision making towards locally assembled Lifan automobiles in Addis Ababa. The study used quantitative research approach and structured questionnaire was employed. The hypotheses were also tested on a sample of 353 customers distributed, giving valid response rate of 94.2% percent. The response of questionnaires was analyzed using CronbachAlpha, descriptive statistics, correlation & multiple regressions. The application used to analyze and examine the hypotheses was the Statistical Package for Social Sciences (SPSS) V.20. The finding showed all independent variables(product attribute, brand image ,after sales service, price factor and external factor have a significant correlation with the dependent variable “consumer purchase decision making” with 95% confidence interval & at 0.05 p-value, by scoring a Pearson Correlation Coefficient “R-value” value of .497**, .562**,.419**,.507**,.561** respectively. In this case relatively brand image had a higher strong relationship with consumer purchase decision than the other four independent variables & the linear combination of (independent variables).The R2 explains 54.1% of the variance in customers’ purchases decision. In addition to correlation analysis, further regression analysis was also conducted and the result indicates that all independent variables have significant relation with consumer purchase decision. Finally, as evident from the finding section recommendations were forwarded to lifan Motors Company to focus on building brand image, improving product attribute, excelling the after sales service, and implementing competitive price to capitalize the market opportunity