This study aims to develop an integrated e-health platform for enhancing delivery of HIV/AIDS healthcare information in Tanzania, which consists of a mobile application and a web-based system. The study is based on the system's functional and non-functional requirements for an e-health system for delivery of HIV/AIDS healthcare information. The Rapid Application Development (RAD) model was adopted during the system development. The system requirements were modelled into Data Flow Diagram (DFD) in order to obtain the clear flow of the HIV/AIDS healthcare information between the clients and HIV/AIDS healthcare practitioners. With the use of different software development tools and environment such as Android studio and Symfony framework; both android application and web-based system were developed. Finally, the developed system was tested for individual module functioning as well as the functioning of the fully integrated system. The user acceptance survey gave the mean score of above 4 on the scale of 5 for each tested aspect of the system. These scores show that the developed system was positively accepted by the users and commended the Ministry of Health and to deploy the system for enhanced delivery of HIV/AIDS healthcare information.

For many years, plagiarism has remained a serious problem in Higher Learning Institutions (HLIs). Despite having adverse effects on the quality of education, plagiarism has been rapidly increasing in HLIs across the globe. Many researchers agree that the ease of access to information over the internet has made plagiarism a common occurrence in Tanzanian HLIs. In order to address this problem, many Tanzanian HLIs have enacted strict anti-plagiarism policies that require the use of software to detect plagiarism cases efficiently. Although many free and commercial plagiarism detection software exist, HLIs in Tanzania face numerous challenges in finding appropriate tools. The accuracy and effectiveness of freely available plagiarism detection software have been continuously questioned as they often provide inconsistent results. Moreover, commercial software that promise better performance have high annual subscription fees that are not easily affordable by HLIs in developing countries. This study aimed to address the need for affordable and reliable plagiarism detection tools in Tanzanian HLIs by developing an efficient algorithm for plagiarism detection. The study employed a systematic approach that involved different stakeholders in Tanzanian HLIs, including students, academic staff, and support staff. Questionnaires, unstructured interviews, and thorough literature analysis were used to identify the stakeholders’ needs and establish user requirements. The study proposed a plagiarism detection algorithm using a machine learning approach to information extraction, graph-based information retrieval, and semantic textual similarity methods. A web-based plagiarism detection system that implements the proposed algorithm was developed using open source technologies such as Symfony web framework, Neo4j graph database, MySQL database, and RabbitMQ. User Acceptance Testing (UAT) results concluded that the stakeholders positively accepted the developed algorithm. Furthermore, the developed web-based plagiarism detection system has received a Copyright Clearance Certificate from The Copyright Association of Tanzania (COSOTA), and The Committee of Vice Chancellors Principles and Provosts of Tanzania (CVCPT) has recommended the deployment of the system in Tanzanian HLIs.