Kwaghe International Journal of Engineering and Information Technology
Kwaghe International Journal of Engineering and Information Technology aims to publish high-quality, peer-reviewed scholarship that advances engineering design, computational systems, digital technologies, and information-based innovation. The journal prioritizes contributions with clear technical novelty, sound validation, and practical or theoretical significance for engineering and information technology. • Engineering Innovation: promote rigorous research on engineering systems, design, modeling, optimization, and implementation. • Information Technology: support advances in software, computing, data systems, networking, and digital solutions. • Interdisciplinary Integration: encourage studies connecting engineering with information technology to solve complex real-world problems. • Applied Relevance: welcome research that demonstrates practical value, scalability, reliability, and technological impact. Submissions should clearly define the technical problem, explain the methodological approach precisely, report validation or evaluation transparently, and demonstrate a meaningful contribution to engineering and/or information technology scholarship. Scope KIJEIT welcomes original research papers, theoretical studies, system designs, and applied investigations in engineering and information technology. The journal considers work in both foundational and applied domains, provided the engineering or information-technology contribution is explicit, analytically sound, and well reported. • Computer and Information Technology: software engineering, information systems, databases, cloud computing, artificial intelligence, and data analytics. • Electrical and Electronic Engineering: electronics, instrumentation, embedded systems, signal processing, communications, and control systems. • Networks and Cybersecurity: network architecture, internet technologies, digital security, cryptography, and secure system implementation. • Automation and Intelligent Systems: robotics, IoT, smart systems, human–machine interaction, and technology-supported optimization. • Engineering Applications: computational modeling, simulation, algorithm development, system evaluation, and interdisciplinary engineering solutions. Priority is given to manuscripts with strong technical framing, transparent evaluation procedures, and conclusions that are logically supported by experimental, computational, or analytical evidence.
Articles
13 Documents
<![CDATA[Determinants of Access to Credit by Maize (Zea mays) Farmers in Southern Taraba, Taraba State, Nigeria ]]>
<![CDATA[B. C. Asani]]>;
<![CDATA[U. H. Ukpe]]>;
<![CDATA[F. B Filli]]>
<![CDATA[ Kwaghe International Journal of Engineering and Information Technology Vol 2 No 3 (2025): Kwaghe International Journal of Engineering and Information Technology ]]>
Publisher : <![CDATA[Darul Yasin Al Sys ]]>
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DOI: 10.58578/kijeit.v2i3.7543
<![CDATA[This study investigates the determinants of access to credit among maize farmers in Southern Taraba, Taraba State, Nigeria. The specific objectives were to identify the constraints hindering credit acquisition and to assess the key factors influencing farmers’ access to credit. A multi-stage sampling procedure was employed to collect primary data from 180 respondents using structured questionnaires. Data analysis involved both descriptive and inferential statistical methods. The findings revealed that major constraints to credit access included complex application procedures, high interest rates, lack of collateral, short repayment periods, delayed fund disbursement, and limited awareness of available credit sources. Key determinants influencing access to credit were identified as ownership of collateral, marital status, income level, farm size, and age. Based on these findings, the study recommends that policymakers prioritize improving rural farmers’ access to information, extension services, and agricultural insurance to address demand-side barriers. Additionally, institutional capacity building for both lenders and borrowers should be integrated into all credit programs to enhance credit uptake, increase agricultural productivity, and improve farmer incomes. Credit policy interventions should be tailored to the specific needs and constraints of farming households.]]>
<![CDATA[A Comprehensive Survey of Insider Threat Landscape and Detection Indicators ]]>
<![CDATA[Fatai A. Akinsola]]>;
<![CDATA[Francisca N. Ogwueleka]]>;
<![CDATA[Uche M. Mbanaso]]>
<![CDATA[ Kwaghe International Journal of Engineering and Information Technology Vol 2 No 3 (2025): Kwaghe International Journal of Engineering and Information Technology ]]>
Publisher : <![CDATA[Darul Yasin Al Sys ]]>
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DOI: 10.58578/kijeit.v2i3.7704
<![CDATA[The persistence of insider attacks underscores the inadequacy of existing organizational defense strategies, particularly those that fail to prioritize the human element in cybersecurity planning. While external threats have traditionally dominated security frameworks, this study highlights the growing risk posed by internal actors due to the general absence of comprehensive insider threat strategies. Inadequate attention to insider threats can result in significant breaches, including data theft, information leakage, fraud, sabotage, and espionage. This study reviews the underlying factors and indicators that increase organizational vulnerability to insider attacks, categorizing various insider threat types and analyzing recent cases to illustrate their operational and reputational impacts. It also examines current tactics, frameworks, and best practices developed by cybersecurity professionals to counter this threat. Key detection indicators identified in the study reveal how insider activities may expand the attack surface, posing critical risks to digitally-enabled business operations. The findings offer practical guidance for cybersecurity practitioners, emphasizing the importance of integrating behavioral, organizational, and technological indicators into the design of insider threat detection and prevention systems. The study also calls for ethical consideration in monitoring employee activities, advocating for a balance between threat mitigation and the preservation of individual rights, dignity, and workplace trust.]]>
<![CDATA[The Impact of Social Media on Academic Performance of Students in Nigerian Colleges: Case Study of Adamawa State College of Education Hong, Nigeria ]]>
<![CDATA[Linus Mathias]]>;
<![CDATA[Sikari Hickson]]>;
<![CDATA[Giliki Jarison]]>;
<![CDATA[Nelson Jonathan]]>
<![CDATA[ Kwaghe International Journal of Engineering and Information Technology Vol 3 No 1 (2026): Kwaghe International Journal of Engineering and Information Technology ]]>
Publisher : <![CDATA[Darul Yasin Al Sys ]]>
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DOI: 10.58578/kijeit.v3i1.8313
<![CDATA[Social media usage is increasing as human society shifts online, facilitating global connections and offering time and cost savings. It enhances student satisfaction and academic performance by influencing technical, task, and social aspects. Utilizing social media for educational purposes can improve comprehension, but its addictive nature may lead to distractions if not managed well. The study involved 2,340 students from Adamawa State College of Education, Hong, randomly selected, with a sample size derived from a confidence interval of 5 and a 95% confidence level. Student data were collected via a questionnaire, which included options for responses ranging from Strongly Agree to Strongly Disagree. Out of 1,500 distributed questionnaires, results showed a diverse demographic: 719 were in NCE III (30.7%), 762 in NCE II (32.6%), and the remainder in NCE I. Gender-wise, 1,014 students were male (43.3%) and 1,326 female (56.7%). The majority age group was 21–25, comprising 1,305 students, while ages 16–20 accounted for 912 students. Regular social media use was reported by 11.7% of students, yet 88.3% logged in daily, suggesting potential impacts on academic performance. Facebook and WhatsApp emerged as the most utilized platforms, favored for their convenience, while some students also engaged with Instagram and YouTube for collaborative study and social communication. However, non-academic use of social media could negatively influence academic results.]]>
