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All Journal Cendekiawan: Jurnal Pendidikan dan Studi Keislaman Journal of Multidisciplinary Science: MIKAILALSYS Asian Journal of Science, Technology, Engineering, and Art Adpebi Science Series
Abdulkadir, Abubakar
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Physics Social Sciences Other

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Determinants Of Business Success: An Analysis Of Islamic Perspective Abdulkadir, Abubakar; Ibrahim, Muhammad Muslim
Adpebi Science Series 2022: 2nd AICMEST 2022
Publisher : ADPEBI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

There exists misconception among some Muslims on the relationship between Allah’s decree and the success factors in human endeavors which business is one of them. In other word, what determined success in business is seen by many Muslims as just something that does not relate to human’s effort. This paper being conceptual tries to examine the relationship between the concepts –Allah’s decree, human’s effort and business success- as well as how Allah’s decree and then the human effort influence the determination of an individual future and the level of his achievement in business. The paper concludes that though Muslim has to believe in predestine but he has to also believe that Allah has tradition that obliged people to hold a curse, also it is part of the Allah’ s decree that made him to behave toward success or unsuccessful. The study recommends that that people should not only wish but also work toward success, therefore, success factors should be identified and effort should be made toward success and that individual and business should do their own part and leave the rest with Allah, this is where success lies.
A Novel Clustering-Based Scheme for Wildfire Monitoring in Flying Ad Hoc Networks Visa, Samson Bitrus; Sunday, Caleb Gasin; Abdulkadir, Abubakar
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (2025): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v3i1.4512

Abstract

This study addresses energy consumption limitations and network overhead in cluster formation within Flying Ad Hoc Networks (FANETs), a type of Wireless Sensor Network (WSN) commonly used for wildfire monitoring. FANETs consist of mobile nodes, represented by Unmanned Aerial Vehicles (UAVs), communicating in a self-organized manner, with clustering playing a crucial role in improving scalability and resource management. This work proposes an Energy Efficient Wildfire Monitoring Scheme (EEWMS) to optimize Cluster Head (CH) selection and reduce the energy costs of cluster formation. The scheme incorporates node remaining energy, trust level, energy consumption, base station proximity, mobility, and CH coverage into a fitness function for intelligent CH selection. EEWMS was validated through simulations in the MATLAB environment, comparing its performance against existing techniques, specifically EE-SS, using metrics including energy consumption, network lifespan, and cluster formation time. The results demonstrate that EEWMS significantly enhances FANET performance, reducing cluster building time by 10.16%, increasing cluster lifetime by 6.96% and improving energy efficiency by 10.25%. These improvements underscore EEWMS's effectiveness in enhancing real-time wildfire monitoring by improving network responsiveness, extending operational periods, and ensuring reliable data transmission. The findings provide a robust solution to energy and scalability challenges, making FANETs more efficient and reliable for emergency response applications.
Evaluating Handover Processes in Mobile Networks: Effects on Latency, QoS, and User Experience Across Conditions Abdurrahman, Mubarak; Gamawa, Mansur Aliyu; Abdulkadir, Abubakar; M, Bala A.; Hamza, Jamilu Bala; Ahmed, Abubakar
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (2025): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v3i1.4631

Abstract

The rapid expansion of mobile networks has revolutionized global communication, enabling seamless connectivity for a growing user base. As networks evolve, efficient handover processes—where mobile devices transition between network cells or base stations—are critical to maintaining uninterrupted service. Poorly optimized handovers can result in increased latency, degraded Quality of Service (QoS), and diminished user experience, especially in advanced networks like 5G that demand low latency and high reliability. This study examines the impact of handover processes on key performance metrics such as latency, QoS, and user satisfaction, analyzing their behavior across urban, rural, and heterogeneous technological environments. In densely populated urban areas, frequent handovers risk creating performance bottlenecks, while rural areas face challenges related to sparse infrastructure. Heterogeneous environments, where legacy and next-generation technologies coexist, further complicate efficient transitions. By identifying these challenges, the study proposes strategies to optimize handover efficiency, ensuring seamless connectivity, enhanced QoS, and reduced latency in advanced networks. These findings contribute to improving mobile communication systems, addressing the dynamic demands of 5G and beyond in diverse operational scenarios.
Adaptive Q-Learning-Based Radio Resource Management Optimization in 5G and Beyond Heterogeneous-heterogeneous Networks: A Comprehensive Review Abdulkadir, Abubakar; Kabir, Mahmoud T.; Abdulkareem, H. A.; Abdullahi, ZM
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 1 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i1.4578

Abstract

This paper reviews advanced radio resource management (RRM) optimization techniques in 5G and beyond heterogeneous-heterogeneous networks (Het-HetNets). Key innovations include fairness-aware models for mmWave 5G, machine learning (ML)-driven traffic management, and game-theoretic approaches for interference mitigation in Massive MIMO systems. Blockchain technology emerges as a promising tool for secure spectrum sharing, while deep learning enhances handover management and resource allocation. Hybrid frameworks, such as deep reinforcement learning and non-orthogonal multiple access, address energy efficiency and quality of service (QoS) challenges for IoT, autonomous vehicles, and smart cities. Despite these advancements, challenges like scalability, computational complexity, and data privacy persist. Q-learning-based adaptive RRM frameworks demonstrate potential for optimizing energy and spectral efficiency by addressing dynamic network conditions. The integration of ML with blockchain enables secure and decentralized RRM. Critical research gaps identified include scalability, real-time deployment, and interference management in ultra-dense networks. This review highlights the importance of scalable, efficient, and adaptive solutions to advance the telecommunications system.
Learning Management Strategies Based on Multiple Intelligences to Optimize Children’s Potential: Systematic Review 2015-2024 Amini, Amini; Abdulkadir, Abubakar
Cendekiawan : Jurnal Pendidikan dan Studi Keislaman Vol 4 No 3 (2025): September Edition: Multiple Intelligences of Students in Formal, Informal, and No
Publisher : Yayasan Zia Salsabila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61253/cendekiawan.v4i3.406

Abstract

The implementation of multiple intelligences theory in educational settings remains inconsistent despite growing recognition of diverse learning needs among children. This systematic literature review aims to analyze learning management strategies based on multiple intelligences for optimizing children's potential during 2015-2024. Following PRISMA guidelines, we systematically searched five databases (Scopus, Web of Science, ERIC, ProQuest, Google Scholar) using predetermined keywords, yielding 45 eligible studies after rigorous screening. Results reveal three primary strategy clusters: differentiated instruction approaches, assessment diversification methods, and collaborative learning frameworks that accommodate linguistic, logical-mathematical, spatial, kinesthetic, musical, interpersonal, intrapersonal, and naturalistic intelligences. Findings indicate significant positive impacts on student engagement, academic achievement, and holistic development when educators implement integrated multiple intelligences-based management strategies. This review provides practical implications for educational leaders and practitioners in designing inclusive learning management systems that recognize and nurture each child's unique intelligence profile, ultimately contributing to more equitable and effective educational practices.
Development and Implementation of a Microcontroller-Based Smart Modular Aquaponic System for Sustainable Food Production Abdulkadir, Abubakar; Abdurrahman, Mubarak; Mutalib, Yusuf Ova; Hamidat, B. Y.; Hamza, Jamilu Bala
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 6 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i6.7627

Abstract

Aquaponics integrates aquaculture and hydroponics into a symbiotic, soil-free agricultural system that offers a sustainable solution to global food production challenges. In response to the increasing demand for environmentally sustainable and resource-efficient farming methods, this study presents the development and implementation of a microcontroller-based smart modular aquaponic system aimed at automating water quality regulation, with a focus on pH level control. Traditional aquaponic systems rely heavily on manual monitoring and adjustment of critical parameters, often leading to inefficiencies and inconsistencies. The proposed system integrates a pH sensor with a microcontroller that triggers a pumping mechanism to adjust water conditions when pH levels exceed 7.1. Experimental validation across three monitoring intervals (08:00, 14:00, and 20:00) demonstrated the system’s ability to maintain pH within the optimal range of 6.8–7.1. The findings confirm that the automated approach significantly improves operational stability, enhances water resource efficiency, and promotes environmental sustainability within aquaponic systems. Moreover, the modular configuration facilitates scalability and customization across diverse settings. This study underscores the transformative potential of automation in advancing aquaponics as a viable model for sustainable and technologically integrated food production.
Co-Authors Abdulkareem, H. A. Abdullahi, ZM Abdurrahman, Mubarak Ahmed, Abubakar Amini Amini Gamawa, Mansur Aliyu Hamidat, B. Y. Hamza, Jamilu Bala Ibrahim, Muhammad Muslim Kabir, Mahmoud T. M, Bala A. Mutalib, Yusuf Ova Sunday, Caleb Gasin Visa, Samson Bitrus