Browse within this community http://repository.anu.ac.ke/handle/123456789/400 2026-08-03T10:21:40Z 2026-08-03T10:21:40Z Matu, Benard Munyiri http://repository.anu.ac.ke/handle/123456789/1132 2026-07-31T08:17:20Z 2024-04-01T00:00:00Z

Design, Development And Validation Of An Arduino- Based Global System For Mobile Communication Prototype For Remote Water Level Monitoring Matu, Benard Munyiri Amidst global research on IoT-based water level monitoring devices, questions persist about sensor dependability and accuracy, especially in real-world scenarios. The research main objective was to design, develop and validate the Arduino-based Global System for Mobile Communication (GSM) prototype that utilizes a JSN-SR04T waterproof ultrasonic sensor in remote water level monitoring that meets the requirements of accuracy and reliability. Two theoretical frameworks were used in this research study to bring out the relationship between the predictor and outcome variables: The ultrasonic wave reflection principle and the Piezoelectric Effect. The research method employed in this research was mixed methods research comprising of explanatory and predictive statistical approaches of gathering and analyzing data to ascertain whether there was a significant difference between the means of data obtained from the IoT-based monitoring system and those from the manual gauge. Linear and Multiple regression were used to analyze the effect of air temperature variations on ultrasonic sensors under different locations. One (1) Arduino-based GSM water level monitoring prototype that utilized a JSN-SR04T waterproof sensor was developed and used to collect sensor datasets. The research study used stratified sampling techniques and had the following sample sizes: 48 manual gauge readings, 48 sensor readings and 15 tests of GSM efficiency. Data was visualized in the Arduino serial monitor, the ThingSpeak Server application and in Excel using graphs and charts. The research study found that the developed and validated Arduino-based GSM water level monitoring prototype was very accurate and reliable for application in water reservoir level monitoring. The IoT prototype achieved a water level accuracy of 98.92 percent in a lab setting environment and an accuracy of 95.083 percent in an outdoor simulation. The ANOVA test confirms the lack of significance for the location effect on accuracy with a p-value of 0.09099. While the sensor demonstrates high accuracy, reaching 100% in certain temperature ranges during outdoor testing, there are instances of lower accuracy, particularly noticeable at 23.44°C and 42.97°C. The impact of temperature on accuracy is evident, with fluctuations noted, and a distinct decrease in accuracy observed at higher temperatures. The research study concludes that while temperature significantly affects the accuracy of outdoor readings, the location of the sensor, whether indoors or outdoors, does not significantly influence accuracy. These findings provide valuable insights for optimizing sensor use in various environmental conditions. The significance of this research study is that it adds to the existing knowledge on effective water resource management through the implementation of IoT water level monitoring systems. A Project thesis submitted in partial fulfillment of the requirements for the award of the degree of Master of Applied Information Technology in the Department of Computer and Information Technology and the School of Science and Technology of Africa Nazarene University.

2024-04-01T00:00:00Z Matu, Benard Munyiri http://repository.anu.ac.ke/handle/123456789/1130 2026-07-30T12:28:31Z 2024-06-01T00:00:00Z

Design, Development and Validation of an Arduino- Based Global System For Mobile Communication Prototype For Remote Water Level Monitoring Matu, Benard Munyiri Amidst global research on IoT-based water level monitoring devices, questions persist about sensor dependability and accuracy, especially in real-world scenarios. The research main objective was to design, develop and validate the Arduino-based Global System for Mobile Communication (GSM) prototype that utilizes a JSN-SR04T waterproof ultrasonic sensor in remote water level monitoring that meets the requirements of accuracy and reliability. Two theoretical frameworks were used in this research study to bring out the relationship between the predictor and outcome variables: The ultrasonic wave reflection principle and the Piezoelectric Effect. The research method employed in this research was mixed methods research comprising of explanatory and predictive statistical approaches of gathering and analyzing data to ascertain whether there was a significant difference between the means of data obtained from the IoT-based monitoring system and those from the manual gauge. Linear and Multiple regression were used to analyze the effect of air temperature variations on ultrasonic sensors under different locations. One (1) Arduino-based GSM water level monitoring prototype that utilized a JSN-SR04T waterproof sensor was developed and used to collect sensor datasets. The research study used stratified sampling techniques and had the following sample sizes: 48 manual gauge readings, 48 sensor readings and 15 tests of GSM efficiency. Data was visualized in the Arduino serial monitor, the ThingSpeak Server application and in Excel using graphs and charts. The research study found that the developed and validated Arduino-based GSM water level monitoring prototype was very accurate and reliable for application in water reservoir level monitoring. The IoT prototype achieved a water level accuracy of 98.92 percent in a lab setting environment and an accuracy of 95.083 percent in an outdoor simulation. The ANOVA test confirms the lack of significance for the location effect on accuracy with a p-value of 0.09099. While the sensor demonstrates high accuracy, reaching 100% in certain temperature ranges during outdoor testing, there are instances of lower accuracy, particularly noticeable at 23.44°C and 42.97°C. The impact of temperature on accuracy is evident, with fluctuations noted, and a distinct decrease in accuracy observed at higher temperatures. The research study concludes that while temperature significantly affects the accuracy of outdoor readings, the location of the sensor, whether indoors or outdoors, does not significantly influence accuracy. These findings provide valuable insights for optimizing sensor use in various environmental conditions. The significance of this research study is that it adds to the existing knowledge on effective water resource management through the implementation of IoT water level monitoring systems. A Project thesis submitted in partial fulfillment of the requirements for the award of the degree of Master of Applied Information Technology in the Department of Computer and Information Technology and the School of Science and Technology of Africa Nazarene University.

2024-06-01T00:00:00Z Kiragu, Rose Waithera http://repository.anu.ac.ke/handle/123456789/1118 2026-07-28T12:23:24Z 2024-07-01T00:00:00Z

A Model for Mitigating Cyber Security Threats and Vulnerabilities in Small and Medium Enterprises Kiragu, Rose Waithera Security breaches of touchy facts have remained as risk urge for food fluctuate from one company to another, it activates the chance evaluation gear be included with company`s facts protection coverage for you to make certain protection controls at The primary reason of this examine changed into to expand a version for use to mitigate cyber-protection threats in small and medium establishments. Threats and vulnerabilities confronted with the aid of using Small and Medium Enterprises, to evaluate the gear utilized in mitigating threats and vulnerabilities confronted with the aid of using Small and Medium Enterprises, to expand aversion for use to mitigate cyber-protection threats in small and medium establishments and to validate the version. Implemented each quantitative andqualitative study. Data was gotten using purposive sampling from Small Medium Enterprises and was analyzed using SPSS model 26 and Python. Discoveries have been that the modern-day contraptions for risk appraisal paperwork have now no longer blanketed statistics protection association for possible protection management primarily based totally on company`s hazard. The want of compelling risk evaluation primary sources which includes servers and purchaser wise devices at the hand of assailants and on this manner increment risks and chance to compromise the sources. The examine determined that vulnerabilities, authentication mechanism and schooling stood out because the unbiased variables from the coefficient examine achieved with the aid of using python making the researcher drop infrastructure competencies and facts protection coverage. Made have been that Small Medium Enterprises preserve to put in force cyber security to Small Medium Enterprises and has progressed paintings overall performance as nicely as to paintings better. Further studies are wanted on a comprehensive version to mitigate cyber security threats in Small Medium Enterprises in Kenya, strategies,demanding situations and great practices in Nairobi. Version to mitigate cyber security threats in Small Medium Enterprises in Kenya. A Dissertation submitted in partial fulfillment of the requirements for the award of the degree of Master of Science in Applied Information Technology In the Department of Computer and Information Technology and the School of Science and Technology of Africa Nazarene University

2024-07-01T00:00:00Z Njagi, Charles Mugambi http://repository.anu.ac.ke/handle/123456789/1074 2026-07-14T11:53:22Z 2025-06-01T00:00:00Z

Evaluating A Custom-Developed Ai Chatbot for Enhancing Gamified Phishing Awareness Training in A Small Non-Profit Organization: A Comparative Case Study at ThesciencefFor Africa Foundation Njagi, Charles Mugambi This thesis investigates the effectiveness of gamification, enhanced with a Retrieval- Augmented Generation (RAG) GPT-4-powered AI chatbot, in strengthening phishing awareness training among staff at the Science for Africa Foundation. In light of the escalating cybersecurity threats targeting non-governmental organizations (NGOs), the study responds to the growing concern that conventional training approaches—often passive and one-size-fits-all—fail to engage users meaningfully or build lasting behavioural change. By integrating gamified training modules with an interactive, real-time chatbot assistant, this research explores a novel, blended approach designed to improve user engagement, information retention, and practical response to phishing attempts. The study is grounded in literature tracing back to the 1990s, which identified user awareness and education as key pillars in phishing defence. More recent studies have emphasized the value of gamification in cybersecurity training, citing increased motivation and better learning outcomes. However, limited research has examined the role of generative AI, especially domain- specific chatbots, in complementing gamified learning environments. This study fills that gap by combining gamification and generative AI into a unified training platform and assessing its impact in a real-world organizational setting. A comparative case study design was employed involving two groups of employees. The control group underwent traditional, classroom-style phishing awareness training, while the intervention group engaged with Click Armor gamified modules, supported by a custom-developed RAG-enhanced GPT-4 chatbot capable of answering phishing- related queries and reinforcing learning in real time. A total of 58 participants—drawn from a diverse employee base across departments—took part in the study. Data collection tools included InfoSight phishing simulation tests, structured observation checklists, engagement surveys, and focus group discussions. Quantitative analysis using descriptive statistics revealed that the intervention group outperformed the control group in both engagement levels and phishing recognition scores. Qualitative analysis, conducted through thematic coding of focus group transcripts, further demonstrated that the AI chatbot contributed to a more personalized and responsive learning experience. Participants reported greater confidence, clarity, and enthusiasm during training sessions, citing the chatbot’s immediate feedback and contextual explanations as particularly helpful. The study concludes that gamified phishing awareness training, when augmented with AI chatbot support, offers a significantly more effective and scalable solution for NGOs. It recommends broader adoption of such technologies in cybersecurity education to address the evolving threat landscape in resource-constrained sectors. A Project Research Submitted in Partial Fulfilment of the Requirements for the Award of the Degree of Master of Science in Applied Information Technology in the Department of Computer and Information Technology and the School of Science and Technology of Africa Nazarene University

2025-06-01T00:00:00Z Owino, Fredrick Otieno http://repository.anu.ac.ke/handle/123456789/1072 2026-07-14T09:37:13Z 2025-06-01T00:00:00Z

Blockchain Technology Framework for Securing and Automating Customer Onboarding Process: A Case of Equity Bank, Kenya. Owino, Fredrick Otieno The increasing prevalence of cyber threats and fraudulent activities has heightened the need for robust security measures in the financial sector, particularly in customer onboarding processes. This study investigated the implementation of a blockchain technology framework to enhance the security and efficiency of the customer onboarding process at Equity Bank, one of Kenya’s leading financial institutions. The research aimed to assess the impact of decentralized ledger technology, cryptographic security, and consensus mechanisms on the onboarding process. The study is guided by four specific objectives: (1) To evaluate the current problem with Equity Bank's customer onboarding process. (2) To analyze the existing blockchain technology solutions to the customer onboarding process in other institutions. (3) To analyze the existing solutions and processes for customer onboarding and assess the use of blockchain technology at Equity Bank, Kenya. (4) To develop a blockchain framework for customer onboarding, explicitly focusing on Equity Bank Kenya. (5) To test the functionality of the developed framework for consumer onboarding at Equity bank, Kenya. Corresponding research questions were formulated to explore these objectives in detail. A mixed-methods approach was employed, combining qualitative interviews with Equity Bank staff, bank security experts, and customers and quantitative surveys to collect comprehensive data. The Technology Acceptance Model (TAM), Diffusion of Innovations Theory, Information Security Theory, Distributed Ledger Theory, and Operational Efficiency Theory provide the theoretical framework for the study. These theories helped the study understand the dynamics of blockchain technology's adoption, security enhancements, and efficiency improvements. The study's significance lies in its potential to inform Equity Bank’s strategy for implementing blockchain technology, contributing to the broader body of knowledge on fintech innovations, and guiding policy development for secure and efficient customer onboarding processes. In conclusion, the research underscores the transformative potential of blockchain technology in securing the customer onboarding process, highlighting its applicability in enhancing data protection, reducing fraud, and improving operational efficiency at Equity Bank. Future research could expand the scope to include comparative studies across different banks and regions, further testing the findings and exploring additional fintech innovations. Research Project Submitted in Partial fulfillment of the requirements for The degree of Master of Science in Applied Information Technology in the Department of Computer and Information Technology and the School of Science and Technology of Africa Nazarene University.

2025-06-01T00:00:00Z Njoroge, Doreen Wangui http://repository.anu.ac.ke/handle/123456789/1071 2026-07-14T09:09:33Z 2023-06-01T00:00:00Z

Assessing the Adoption and Impact of Radio Frequency Identification Technology for Livestock Management Among Small-Scale Farmers in Nyeri County, Kenya Njoroge, Doreen Wangui RFID has been used in the livestock sector to track the location and identify farm animals. The RFID technology is first rated in identifying and tracking livestock inventory. Essential health data is recorded for each animal, managing animal diseases and combating livestock theft. Despite RFID technology's importance in livestock farm management, many small-scale farmers are unaware of its benefits. Financial consequences, operational management of RFID items, environmental concerns, and database administration issues have also hindered livestock management's widespread adoption of RFID technology. The study explored the adoption and impact of Radio Frequency Identification (RFID) technology in the context of livestock management in Nyeri, Kenya. The specific objectives were to; evaluate the Radio Frequency Identification Technology’s benefits in the management of livestock among small-scale farmers in Nyeri County, identify the factors that influence the adoption of a Radio Frequency Identification Technology for livestock management among small-scale farmers in Nyeri County, and develop a Radio Frequency Identification framework for the management of livestock in Nyeri County Kenya. Innovation Diffusion Theory and Technology Acceptance Model guided the investigation. The researcher collected quantitative data via questionnaires and interviews. Questionnaires were used to collect data from livestock questionnaires and interviews with industry experts in agriculture and the use of RFID. The target population was 147,374 livestock farmers in Nyeri County. Data analysis involved descriptive and inferential statistics. Most of the livestock farmers agreed that the use of RFID technology had brought significant benefits. The benefits enabled them to improve livestock production and reduce the cost, enhance the livestock’s security and traceability, generate timely, accurate, and granular data helpful in livestock management, and enhance the livestock feeding schedule and rationing monitoring. Other benefits included improved automated livestock monitoring resulting in few labourers, and enhanced ability to correctly trace and identify the livestock and adequately manage the cattle feeding programme. Factors such as technology, cost, environment, facilities, and data management were sufficient explanations for 51.2% of the use of RFID technology for livestock management among small-scale farmers in Nyeri County. The development of the RFID model for livestock management in Nyeri County, Kenya, is based on the benefits of RFID in livestock management and factors that influence the adoption of RFID for livestock management. The study concluded that the development of RFID for livestock management should base on the benefits and challenges of RFID in livestock management and factors that influence the adoption of RFID for livestock management. Since the cost of implementing RFID technology is generally high for an individual, livestock farmers in Nyeri County should consider rolling out the program from a cooperative perspective. The farmers can form groups, and because they have community land, they can start by pulling resources together, which will help alleviate financial challenges and ease negotiations with technology providers. Given that technology may be complicated for some, Nyeri County, through the county government, should collaborate with institutions that provide training to farmers to offer free training on the benefits and use of RFID technology for farmers. Kenya Agriculture and livestock research organization’s primary mandates are to develop disease control technologies and an effective traceability system; RFID is one technology that can solve disease control through identification and tracking. Therefore, the Organisation should ensure they take primary responsibility for managing the data. A Project Research submitted in partial fulfilment of the requirements for the award of the degree of Master of Science Applied Information Technology in the Department of Computer and Information Technology at the School of Science and Technology of Africa Nazarene University.

2023-06-01T00:00:00Z Rehal, Kirandeep Kaur http://repository.anu.ac.ke/handle/123456789/957 2023-08-18T13:10:59Z 2019-08-01T00:00:00Z

Adoption of mobile technology for knowledge management in manufacturing firms: a case study of Mahashakti Kenya Limited, Athi River Rehal, Kirandeep Kaur Knowledge management is a field with a lot of potential that can benefit individuals as well as different types of organizations. Despite this fact, most organizations in Kenya have focused on knowledge storage, but have not adopted sharing of the stored knowledge. This study examined the adoption of mobile technology for knowledge management in Mahashakti Kenya Limited, Athi River. The study was guided by the following objectives: To assess the extent of adoption of mobile technology for knowledge management in Mahashakti Kenya Limited, Athi River to determine mobile technology platforms used for knowledge management in Mahashakti Kenya Limited, Athi River and to investigate the factors affecting the adoption of mobile technology for knowledge management in Mahashakti Kenya Limited, Athi River. The study was anchored on the Diffusion of Innovation Theory. This study employed a descriptive survey design. The study collected data from all the 52 employees at the Mahashakti Kenya Limited based on a census method. The study utilized primary data which was collected using structured questionnaires, key informant interviews and observations. Quantitative data was analyzed using descriptive, correlation and regression statistics. Qualitative data on the other hand, was transcribed, coded into themes and analyzed by use of content analysis. Quantitative data was presented using charts and tables. The study found that mobile technology was used to share information remotely in the company, share timely information and share different types of information. In addition, mobile technology has been efficient in knowledge management within the company. The study also found that the organization used short message services for knowledge management, as well as multimedia messaging services, websites, installable applications, phone calls, emails, WhatsApp, skype, zoom and flash screens. The study further found that the presence of information technology infrastructure and adoption of mobile technology by competitors affected the company’s strategy of adopting the technology. However, employee and management attitude did not largely affect the adoption of mobile technology in the company. The study concluded that the extent of mobile technology adoption, mobile technology platforms and factors affecting adoption of mobile technology positively influence knowledge management in Mahashakti Kenya Limited. The study recommends integration of mobile technology to all departments where it had not been integrated, as it has been found to be essential in knowledge management in the company. The study also recommends adoption of other platforms such as SharePoint and DotNet which can enable the company share information more and widely across departments. The study finally recommends training of all employees on mobile technology, to adopt the right attitude towards the technologies used for efficient knowledge management.

2019-08-01T00:00:00Z Kimani, Carolyne Wanjiru http://repository.anu.ac.ke/handle/123456789/864 2022-08-31T13:48:55Z 2022-02-01T00:00:00Z

Developing a multi-factor authentication prototype for improved security of enterprise resource planning systems for Kenyan universities Kimani, Carolyne Wanjiru Automated systems are crucial for organizations to maintain records and transactions effectively. Universities have increasingly adopted Enterprise Resource Planning (ERP) systems, a software that provides integrated management of processes and transactions in real-time. ERP systems contain lots of information and are accessed by multiple users, commonly through usernames and password authentication mechanisms. However, there have been security and privacy concerns about ERP systems’ security, where only the traditional authentication method of a username and password is commonly used. Passwords have weaknesses that can be easily compromised. Thus, this research aimed at establishing authentication methods used for ERPs in chartered Kenyan Universities and their vulnerabilities. The study further aimed at developing and validating a multi-factor authentication prototype to improve ERP systems security. Multi-factor authentication which combines several authentication factors such as something the user has, knows, or is, is a new state-of-the-art technology that is being adopted to strengthen systems’ authentication security. This research used an exploratory sequential design and a survey for chartered Kenyan Universities. Data collection was done through document analysis, issuing questionnaires online to the universities’ system administrators to establish ERP authentication methods and vulnerabilities. The questionnaires were validated by carrying out a pre-study that assessed whether the required data was captured and helped identify areas of improvement. The data collected was analyzed using descriptive statistics, correlation and regression, whose outcome was used as input for the development of a multi-factor authentication prototype. The key vulnerabilities established from the survey were password guessing, password reuse and social engineering hence the proposed multifactor authentication prototype to counter them. The independent variable factors found to have a positive significant relationship with ERP systems security according to the correlation were; attack tolerance, level of user training and ICT Security policy. The regression analysis model revealed that user training was the most significant variable on improved ERP systems security. This research hence proposed and developed a multifactor authentication prototype factoring in these variables, to contribute towards the improvement of security of ERP systems for universities in Kenya. The final outcome of the research was a multi-factor authentication prototype combining passwords and biometric authentication, that requires to be coupled with effective user training and enforcement of ICT security policies, to improve ERP systems security for Kenyan universities. As a recommendation for further research, alternative biometric authentication methods, integration of authentication applications and addressing other systems security issues can be explored to further improve ERP systems security.

2022-02-01T00:00:00Z Mutata, Mary Nzisa http://repository.anu.ac.ke/handle/123456789/746 2022-01-17T10:52:24Z 2021-02-01T00:00:00Z

Cloud computing services in Africa Nazarene University: An evaluation of affecting factors and proposed model for adoption Mutata, Mary Nzisa Cloud computing is an internet based, remote driven and service oriented technology emerged to provide software as a service among others. Adopting cloud computing software as a service (SaaS) in Africa Nazarene University (ANU) libraries will significantly reduce the cost of maintaining systems; expose library users to multivariant information resources and optimize library services. This research study was guided by the following objectives: to assess the technological, organizational and environmental factors affecting the full adoption of SaaS at ANU, and; to investigate the different types of service users, assess their needs, and to recommend an adoption strategy of SaaS model for ANU libraries. The study adopted a descriptive survey design through the use of semi-structured questionnaires and interview guides. Purposive sampling method was used to select five library users from ANU for interview. In addition, library users from the student body were selected through stratified random sampling method and issued with questionnaires. A total of 97 respondents were used as the sample size in this study. The study utilized quantitative and qualitative approaches for data analysis, which was presented using tables and graphs. Qualitative data was analyzed as per the order of questions in the questionnaires and then computed using SPSS software. The research findings indicated that the most significant factors was organizational factors (0.216). On this basis, the researcher was able to recommend that the organization of the university should be encouraged to support the deployed of SaaS in the university.

2021-02-01T00:00:00Z Monda, Nebaba Lubayo http://repository.anu.ac.ke/handle/123456789/597 2021-03-11T13:50:52Z 2020-06-01T00:00:00Z

Assessment of technological risks facing mobile banking: a case of commercial banks in Kenya Monda, Nebaba Lubayo Mobile banking technology has been widely adopted amongst all the commercial banks in Kenya. Currently Kenyan banks lose millions of shillings by means of online theft through mobile banking and other platforms. This study therefore intended to address the issues associated with mobile banking and was directed by the following objectives: to understand the mobile banking architecture, to establish the technological risks arising for commercial banks in Kenya as a result of mobile banking, to establish strategies which commercial banks use to mitigate against mobile banking risks, and to propose an integrated risk mitigation framework for use in mitigating against mobile banking risks. The target population was employees within the banking industry from different departments. Purposive sampling was used, which saw 52 staff from 3 commercial banks being sampled. A questionnaire was used as the main research instrument. The collected data was coded into Statistical Package for the Social Sciences (SPSS) version 26 in order to obtain descriptive statistics and correlation analysis. Qualitative data was analysed with the help of NVIVO Version 12 software. The analysed data was presented using charts, figures and tables. The study found that Current Mobile Banking applications leaked protected information while in transit or during communications from mobile phone to the server doing the transaction due to a weakness in the Secure Socket Layer Certificate (SSL). The study also found that banks did not have advanced detection mechanism such as intelligent behaviour monitoring and use of big data analytics technology for fraud detection and behaviour analysis. Lastly the study also found lack of mobile banking risk analysis and mitigation model amongst the 3 selected banks and developed a mobile banking risk mitigation model. The study therefore recommends adoption of the proposed framework which takes into account various best practices from different researchers and practitioners on information security in the context of mobile banking. The study further recommends that banks and other financial institutions should carry out an own assessment and customize the elements of the framework to fit their own organizational contexts. Thesis

2020-06-01T00:00:00Z