Browsing by Author "Fujo, Mwapashua"

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Centralized admission system for advanced level private schools: case of Kilimanjaro region, Tanzania
(NM-AIST, 2019-03) Fujo, Mwapashua
This research takes a look at the various challenges facing admission procedures for Advanced Level (A-Level) private schools case of Kilimanjaro Region in Tanzania. A total of 150 questionnaires was distributed to parents, A-Level students and school staffs, to find out procedures likewise the challenges being faced in the course of carrying out admission procedures and their level of satisfaction of the existing admission system. Thereafter, the analysis of the survey results confirms and quantify that 93.5% of admissions into A-Level private schools are performed manually by ink and paper. This manual system has its major problems which include difficulty in locating an appropriate school and subjects an applicant can get admissions, crucial times, wastage of time, and loss of forms and mutilation of forms throughout the entire method for admission. Consequently, the findings determined that, the admission system can only be improved by a new online software tool. To mitigate these challenges a centralized web-based solution, namely a Tanzania Central Processing Admission System (TCPAS) has been developed to resolve the identified admission challenges. The TCPAS tool has indicated outstanding changes towards maintenance of admission costs, control of forgery on entry qualifications, encourage the use of paperless admission, simplify admission process, reach of several geographically scattered candidates, and enhancing centralized data handling capability.
Forecasting Financial Resilience: An Analysis of Practices and Limitations in Predicting Trends - A Case Study of Microcredit in Tanzania
(B P International., 2024-10-02) Fujo, Mwapashua; Katwale, Samwel; Dida, Mussa
This research paper delves into the intricate landscape of financial resilience within Tanzanian microcredit institutions, focusing on predictive methodologies and the integration of Artificial Intelligence (AI) for enhanced forecasting accuracy. Through an exhaustive exploration of traditional practices and emerging AI-driven solutions, this study examines the evolving strategies and limitations encounteredpredictive capacities within Tanzanian microcredit institutions. It emphasizes the imperative nature of investing in resources and expertise to leverage AI potential for sustainable growth and heightened forecasting accuracy in this rapidly evolving financial landscape. This study contributes essential insights into the challenges, opportunities, and potential pathways for leveraging advanced technologies in enhancing financial resilience within microcredit institutions, fostering a more sustainable and prosperous future for Tanzania microcredit sector. in predicting financial trends within this dynamic sector. Employing a mixed- methods approach encompassing diverse case studies across key Tanzanian regions - Dar-es-Salaam, Arusha, and Kilimanjaro - the research garnered insights into localized complexities, historical evolution, and direct impact on bolstering financial resilience. Findings underscored the multifaceted objectives pursued by microcredit institutions in trend projection, emphasizing the primary goals of optimizing investment strategies, managing liquidity effectively, and planning for sustainable growth and expansion. While traditional methodologies demonstrated some efficacy, challenges in data quality, interpretation, and predictive analytics expertise emerged as impediments to accurate trend projection. Proposed AI- based solutions offered promising outcomes, with anticipated benefits including improved prediction accuracy, enhanced decision-making, and potential cost savings. However, concerns regarding data security, expertise, and implementation costs pose notable challenges to widespread AI integration. Therefore, the research advocates for the integration of AI technologies to fortify
Web-based admission system for advanced level, private schools: case of Kilimanjaro region, Tanzania
(International Journal of Advanced Technology and Engineering Exploration, 2018) Fujo, Mwapashua; Dida, Mussa
This paper takes a look at the various challenges facing admission procedures for advanced level (A-Level) private schools case of Kilimanjaro region in Tanzania. Questionnaires were distributed to gather data from potential users of a new proposed admission system; namely: parents, A-Level students and school staffs, to find out procedures likewise the challenges being faced in the course of carrying out admission procedures and their level of satisfaction of the existing admission system. Thereafter, the analysis of the survey results confirms and quantify that 93.5% of admissions into ALevel private schools are performed manually by ink and paper. This manual system has its major problems which include difficulty in locating an appropriate school and subjects an applicant can get admissions, wastage of time, loss of forms and mutilation of forms throughout the entire method for admission. Consequently, this paper reports on an ongoing research work to design and implement a Tanzania central processing admission system (TCPAS) that has the outstanding changes towards maintenance of admission costs, control forgery over entry qualifications, encourage the use of paperless admission, ability to reach several geographically scattered candidates and enhancing centralized data handling capability.