Browsing by Title

Now showing 1 - 20 of 215
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    10th Graduation Booklet_2019
    (2019-12) Gretsa University
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    11th Graduation Booklet_2020
    (2020-12) Gretsa University
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    12th Graduation Booklet_2021
    (2021-12) Gretsa University
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    13th Graduation Booklet_2022
    (2022-12) Gretsa University
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    14th Graduation Booklet_2023
    (Gretsa University, 2023-12) Gretsa University
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    15th Graduation Booklet
    (Gretsa University, 2025-12) Gretsa University
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    16th Graduation Booklet_2025
    (Gretsa University, 2025-11) Gretsa University
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    4th International Mutidisciplinary Research Conference Proceedings
    (Gretsa University, 2021-08) Gretsa University
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    6th Graduation Booklet_2015
    (Gretsa University, 2015-12) Gretsa University
    6th Graduation 2015
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    7th Graduation Booklet_2016
    (Gretsa University, 2016-12) Gretsa University
    Graduation booklet
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    9th Graduation Booklet_2018
    (Gretsa University, 2018-12) Gretsa University
    9th Graduation Booklet_2018
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    A QUANTITATIVE ANALYSIS OF THE ROLE OF BCRYPT HASHING TECHNIQUE IN SECURING SENSITIVE INFORMATION IN BANKING MANAGEMENT SYSTEMS
    (Gretsa University, 2025-10) NJOROGE, PETER CHEGE
    As Kenya's banking industry expands rapidly, the security of confidential data has become a critical concern. This study provides a quantitative analysis of the role of the bcrypt hashing algorithm in securing sensitive information within banking management systems. A structured questionnaire was administered to a sample of 42 IT and security professionals at a leading bank, achieving an 84% response rate. Statistical analysis revealed that a strong majority of respondents (76.2%) agreed on bcrypt's significant positive impact on data security. Furthermore, the implementation of salting techniques demonstrated a very strong positive correlation with enhanced security outcomes, with an average Spearman’s correlation coefficient of 0.95. Regression analysis confirmed that robust system integration practices are a critical predictor of bcrypt's effectiveness. The study concludes that the adoption of the bcrypt algorithm, when reinforced with systematic salting and secure integration protocols, provides a statistically significant enhancement to the security of sensitive banking information. These findings offer empirically supported recommendations for policymakers and financial institutions seeking to develop more secure and resilient banking systems
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    A QUANTITATIVE STUDY ON ADOPTION OF EDGE COMPUTING FOR REAL-TIME DATA ANALYSIS IN INTERNET OF THINGS NETWORKS: A CASE OF KENYATTA NATIONAL HOSPITAL
    (Gretsa University, 2025-10) WANJIKU, ROSEMARY MIGWI
    The increasing adoption of IoT technologies in healthcare led to the generation of large volumes of real-time data that required fast and efficient processing. Traditional cloud computing approaches often faced latency and bandwidth limitations, which made it difficult to support critical healthcare operations. This study analyzed the role of edge computing in enhancing real-time data analysis within IoT networks, focusing on Kenyatta National Hospital as the case study. A quantitative research design was employed, and data was collected through structured questionnaires and system performance records from ICT personnel, biomedical engineers, and healthcare practitioners. The study examined variables such as system response time, reliability, data security, and operational efficiency. To analyze data, descriptive and inferential statistics methods were used. The findings indicated that adoption of edge computing improved data processing speed, reduced latency, and enhanced network reliability in IoT-based healthcare systems. The study concluded that the integration of edge computing into hospital infrastructure strengthen real-time decision-making and patient care. It was recommended that healthcare institutions adopt edge computing technologies to complement existing cloud systems to improve service delivery.
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    Adolescent Motherhood in Kenya
    (IISTE (International Institute for Science, Technology and Education)., 2014) DR. Omedi Gilbert
    This paper sought to find out the factors associated with adolescent motherhood in Kenya. Bivariate and multivariate analyses were carried out on the 2008/09 Kenya demographic and health survey women file. Out of the 1,767 women adolescents, 301were already mothers at the time of the survey. Results of bivariate analysis showed that motherhood in Kenya begins as early as age 13, and that it is high among girls of primary education qualifications, rural residents, those from low wealth index households, and who have never used contraception. Majority of the fathers to these children (80 percent) are aged between 20 and 29. Logistic regression analysis revealed that girl’s educational qualification, type of place of residence, household wealth index, region of residence, ever use of contraception and the partner’s education qualification are statistically related to adolescent motherhood in Kenya. There is need therefore to invest substantial efforts to understand the individual social and cultural factors affecting adolescents’ reproductive health outcomes and design policies that address them appropriately. Keywords: adolescent, motherhood, Kenya, contraceptive use
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    AI-Powered Innovations for Documenting and Revitalizing African REVIEW Languages
    (Japan Bilingual Publishing Co. - Cultural Arts Research and Development, 2025) Dr. Jackton Otieno Midigo
    The documentation and revitalization of African languages are crucial for preserving the continent’s linguistic and cultural heritage amid increasing threats of language endangerment. This study presents a systematic review of existing literature on artificial intelligence (AI)-driven approaches to language documentation and revitalization, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Data were collected from twenty academic digital repositories and peer-reviewed journals specializing in computational linguistics, AI applications in language preservation, and African linguistics. Four major databases were specifically searched: Google Scholar, SpringerLink, ScienceDirect, and African Journals Online (AJOL). Peer-reviewed articles from established repositories were analyzed to explore key AI applications such as speech recognition, machine learning for transcription, neural machine translation, and digital archiving. The findings reveal that AI significantly enhances language preservation by enabling automated transcription, corpus development, and the creation of interactive learning tools. Nonetheless, challenges remain, including limited data availability, ethical concerns over language ownership, and technological accessibility in marginalized communities, which hinder widespread implementation. The study emphasizes the importance of interdisciplinary collaboration among linguists, AI developers, and local communities to ensure culturally sensitive and effective AI solutions. Ultimately, this review highlights the transformative potential of AI in supporting the sustainable revitalization of indigenous African languages and contributing to global linguistic resilience. Keywords: African Languages; Artificial Intelligence; Language Documentation; Revitalization; Systematic Review; Linguistic Resilience
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    AN ASSESSMENT OF FACTORS THAT INFLUENCE THE DELIVERY OF MATERNAL HEALTH AWARENESS BY CHVS IN THIKA SUB-COUNTY, KIAMBU COUNTY, KENYA
    (Gretsa University, 2025-10) AKINYI, IRENE; NYERERE, IAN; NGIGI, IRENE
    This paper examines the involvement of the community health volunteers (CHVs) in improving maternal health Awareness in Thika, Kiambu County, Kenya, given the perennial maternal health problems in low-middle-income countries. Although the communities CHVs work with need them to bridge gaps between service delivery and communities, little is known regarding how CHVs’ education, training, age, and engagement in activities within the selected communities affects their ability to facilitate awareness of maternal health. Specifically, an aim is to evaluate factors as education, training, age, and engagement and the ways they influence maternal health Awareness. The study therefore present hypothesis, claiming that there are no correlation between education, training, age, community engagement and awareness on maternal health among the CHVs. This research design adopted a descriptive survey design the research targeted about 100 CHVs and mothers in Thika district and used a stratified sampling method in order to get equal representation. Structured questionnaires and triad-based key informant interviews for quantitative collection methods. The hypothesis was tested using both descriptive and inferential statistics, with chi-square as the statistic of interest for the latter while content analysis and thematic coding for the qualitative data. The reliability was tested internally via Cronbach’s alpha and is set at a minimum of 0.7 validity was tested internally via pilot testing and expert review. These comprise of issues to do with consent and approval from the applicable review boards. Therefore, by filling the gaps found out in the existing literature, it is believe that this study shall provide useful information to the health policymakers, non-governmental organizations, and training programmes so that maternal mortality rates down in Kenya and quality of maternal health services improved. The results are expected to be useful in enhancing the sustainable improvements in the effectiveness of CHV through education, training, and resource management planning to the goals of the sustainable development index in the aspect of maternal health
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    AN EVALUATION OF 5G WIRELESS NETWORK DEPLOYMENT IN TELECOMMUNICATION FIRMS: A CASE OF SAFARICOM
    (Gretsa University, 2025-10) KIRURI, EMMANUEL KINYANJUI
    Modern technology has become an indispensable aspect of most enterprises globally. For the past few decades, telecommunication firms, fintech companies, and other industries have relied heavily on advanced technology. Fast internet speed is the need of the hour, and every major telecommunication company is pushing to make it even faster. To keep up with the constantly changing world, we require more and more technology. The fifth-generation (5G) wireless technology has arrived, with the primary aim of increasing capacity, higher data throughput, lower latency, and quality service. Many studies have been conducted on the adoption and implementation of 5G wireless technology in different industries. For instance, researchers have explored the factors that affect adopting 5G technology in healthcare, agriculture, and other sectors. Few studies have examined Kenyan telecom firms' 5G wireless adoption. Telecommunication businesses in Kenya have yet to fully implement 5G wireless technology, thus variables that may affect its adoption must be examined. To leverage 5G's benefits, you must understand its problems and opportunities. This study examines Kenyan telecommunication firms' wireless technology adoption variables to close this gap. This study examines individual traits, technological and organizational factors, and cybersecurity issues that may affect Kenyan telecommunication companies' 5G wireless network adoption. Telecommunications companies select middle- to senior-management employees using stratified sampling. Questionnaires, descriptive statistics, Pearson correlation, and multiple regression analysis were used. The results showed that age, education, and experience favorably affect 5G wireless technology adoption. Perceived utility and ease of usage strongly influence 5G adoption. Top management support, culture, and training boost 5G adoption. Finally, cybersecurity worries hinder 5G adoption. Thus, Kenyan telecommunication companies should link developing technology with sufficient infrastructure to enable its adoption and educate and train their staff on the value of new technology to stay competitive in the dynamic and competitive market.