Kabale University Digital Repository (KAB-DR)
KAB-DR preserves research output from the Kabale University community
Communities in KAB-DR
Select a community to browse its collections.
- The collections in this Community are comprised of Indigenous Knowledge emanating from communities in the neighborhoods of Kabale University. These are communities in the great Kigezi Region.
- This community holds students (Graduates) dissertation and Thesis, Staff field reports, Students (undergraduate) study reports
- The community includes research article publications in journals both local and international, conference papers in proceedings and reports, abstracts and reviews by Kabale University Staff and Students
- This community archives publications by individual University Staff and Students, Faculty and Departmental Publications (i.e. University Journal, Newsletters, University official publications etc.), groups and Association operating in the University (i.e. Convocation and Staff and Students Association}
Recent Submissions
Transport Systems Tracking and Inventory Security: A Case of Mega Bakery, Kabale.
(Kabale University, 2024) Ntaribi, Elijah
The study was about Transport Systems Tracking and inventory Security: A case of Mega Bakery, Kabale and it was guided by the following study objectives; to assess the current state of transportation systems tracking technologies used by Mega bakery, Kabale, to identify the key security challenges faced by inventory Mega bakery, Kabale, and to evaluate existing policies and regulations related to cargo security in Mega Bakery, Kabale. The cross-sectional survey design was used to collect quantitative approach of research. This helped the researcher to collect in-depth data regarding the research study. Using Krejcie and Morgan table, the sample size was 66 respondents who were chosen purposively due to scarcity of resources available to the researcher. Simple random sampling that was employed to select respondents in order to reduce bias in sampling. Purposive sampling was used to select respondent’s categories who included management staff. Both qualitative and quantitative analysis tools were used by the researcher. Qualitatively, findings from the study were categorized into themes and sub themes. Field findings was coded together to generate frequencies and tallies. This was fed into computer using excel and word package to analyze data. Quantitative data analysis tools were used such as micro soft word, excel and the data was presented by frequency tables and percentages in order to make the presentation easier for the readers to interpret. The findings revealed that Mega Bakery, Kabale GPS Tracking Systems where many bakeries have adopted Global Positioning System (GPS) technology to monitor the location of delivery vehicles in real-time. They revealed that this allows firms to optimize routes, reduce delivery times, and improve customer satisfaction. They revealed that Mega Bakery Kabale uses GPS tracking to ensure that its fresh bread reaches customers within a specific timeframe, thereby maintaining quality. This was represented by 30% of the respondents. The findings revealed that transport licensing regulations in Uganda require all vehicles used for commercial purposes—including those transporting baked goods—to be registered with relevant authorities such as the Ministry of Works and Transport. These regulations also mandate that drivers undergo training on safe handling practices for perishable goods. One of the respondent cited out example of mega bakery firm may need to provide proof of vehicle registration along with evidence that their drivers have completed training on food safety protocols before they can legally transport their products as represented by 21% of the respondents.
Automated Recipe Generation AI Tool from Food Images using Machine Learning. Approach for Ingredient Extraction and Cooking Instructions
(Kabale University, 2024) Lwamaza, Eddy; Nuwasiima, Happy
This report represents a crucial step towards fulfilling the requirements for a Bachelor's degree in Computer Science from Kabale University. It is structured into three main chapters, each playing a distinct role in advancing the understanding and implementation of the proposed project.
Chapter one served as the foundational section of the report, encompassing essential elements such as the introduction, background of the study, problem statement, objectives (both general and specific), research questions, study scope (including time, content, and geographical scope), justification, and theoretical framework. This chapter provided an overview of the research, contextualizes it within existing literature, identifies the specific issue or challenge being addressed, identifies the objectives and research questions, and establishes the theoretical foundation guiding the investigation.
Chapter two delves into the literature review, a critical component of the research process that provides a comprehensive analysis of existing recipe generation AI tools. This chapter evaluates the strengths and weaknesses of current systems, aiming to identify areas for improvement and address any shortcomings. Additionally, it examines image processing techniques used in recipe generation AI tools, sourced from reputable platforms such as Google Scholar and IEEE. The insights gained from the literature review serve as a basis for future research and provide criteria for evaluating case studies in subsequent chapters.
Chapter three focuses on the research methodology, detailing the approach used to achieve the objectives outlined in chapter one. This chapter describes the data collection approaches, tools, and techniques employed in system design and development. Furthermore, it analyzes the validation approach used to assess the effectiveness and reliability of the proposed system. By providing transparency and clarity regarding the research process, chapter three ensures validity in the study's findings, laying the groundwork for a robust and impactful research.
Chapter four presents a detailed analysis of the system requirements, architecture, and design considerations essential for the successful implementation of the proposed recipe generation AI tool. It outlines the systematic approach taken to analyze user needs, define functional and non-functional requirements, and develop a robust system architecture. Additionally, this chapter discusses the design methodologies and tools utilized to translate conceptual requirements into tangible system specifications.
Chapter five elucidates the implementation phase of the project, providing insights into the practical realization of the designed system. It discusses the selection of programming languages, frameworks, and technologies employed in building the recipe generation AI tool. Furthermore, this chapter elaborates on the development process, including code implementation, testing procedures, and integration efforts, culminating in the deployment ready version of the system.
Chapter six synthesizes the findings from the preceding chapters, offering a comprehensive discussion on the project's outcomes, implications, and contributions to the field of recipe generation AI. It critically evaluates the achieved results against the defined objectives, addressing any discrepancies and identifying areas of success. Moreover, this chapter presents concluding remarks, recommendations for further research, and outlines avenues for future work, ensuring the project's continuity and potential for ongoing improvement.
The Effect of Child Neglect on Learning Outcomes of Pupils of Kamwezi Sub-County Rukiga District
(Kabale University, 2024) Karugaba, Dickson
The purpose of the study was to find out the effect of child neglect on learning outcomes of pupils in Primary schools in Kamwezi sub-county, Rukiga District. The study was guided by the following study objectives; to identify the causes of Child neglect in Kamwezi sub-county Rukiga district, to identify whether child neglect has an impact on learning outcomes in Kamwezi sub-county Rukiga district and to explore intervention programs that educators can use to help children who have been victims of child neglect. The study used a descriptive research survey using both qualitative and quantitative approaches. It involved respondents who gave their views, facts, and opinions that were assessed. The Population of this study comprised parents, guardians and teachers in selected schools of Kamwezi Sub-county, Rukiga District who were added up to get 60 because they were the basis of the study and this provided the relevant answers to the study questions. In order for this to be achieved, the researcher used 50 respondents using Krejcie and Morgan table 1970. Data collection tools used included questionnaires, interview guide and documentary review. The study revealed that the main causes of child neglect in Kamwezi sub-county Rukiga district are poverty, lack of parental education, and parental substance abuse. These factors were found to be significant predictors of child neglect, with poverty being the most significant contributor. The study found that many parents in the sub-county struggle to provide basic needs for their children, leading to neglect. The study recommended that educators and policymakers implement intervention programs aimed at supporting children who have been victims of child neglect. These programs should focus on providing emotional and psychological support to neglected children, as well as providing them with basic needs such as food, clothing, and shelter. The study also recommends that educators and policymakers provide training and education to parents on responsible parenting and child care.
Ekyeyo Mobile Application
(Kabale University, 2023) Nkuba, Blair; Kansiime, Daniel
The Ekyeyo mobile application addressed critical inefficiencies in Uganda's job market by leveraging technology to enhance the job-seeking and hiring processes. With a national unemployment rate of approximately 9.2%, traditional job search methods like newspapers and physical job boards fail to effectively connect job seekers with employers, leaving only 20% of vacancies filled through formal channels. This study explored the development of Ekyeyo, a user-friendly Android-based job portal that bridges this gap. The app incorporates advanced search algorithms, tailored job recommendations, and streamlined candidate screening to improve job-matching accuracy. By implementing the Iterative Model for development, the researchers designed and tested a platform that empowers job seekers to access opportunities and simplifies the hiring process for employers. Field studies revealed significant user satisfaction due to the app's efficiency and usability, with features such as real-time notifications and intuitive interfaces highlighted as key strengths. This innovation promised to reduce unemployment, foster economic growth, and establish a transparent recruitment ecosystem in Uganda. Future enhancements, including AI integration and broader industry applications, aim to scale the app's impact further.
Impact of food and beverage management on customer satisfaction in the hospitality sector: A case study of White Horse Inn Hotel, Kabale District
(Kabale University, 2024) Tumusiime, Cosmas Bwambale
Researching on customer satisfaction is important because satisfied customers become loyal customers. Therefore, it is crucial to measure customer satisfaction towards food and beverage management because satisfied customers make repetitive purchasing and recommendations to others that will make profits of that particular hospitality establishment. Customer satisfaction with food and beverage management can significantly be influenced by food and beverage presentation, image and physical environment. Hence, earlier, many studies have shown the relationship between food and beverage management and customer satisfaction. But still, limited literature has been focused on the impact of the confirmation of customer expectation on the relationship between food and beverage management and customer satisfaction. Hence, this study aims to measure customer satisfaction based on the food and beverage presentation, image and physical environment. A total of 200 questionnaires were distributed to customers and staff at White Horse Inn Hotel in Kabale district . Totally 133 questionnaires were used for further analysis out of 200, representing a response rate of 66.5%. The result of the study revealed that food and beverage presentation has a significant and positive relationship with confirmation of customers’ expectations and in turn, their satisfaction level towards food and beverage management. Implications and directions for future research are also highlighted in this present study.