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Mikailalsys Journal of Advanced Engineering International
Published by Lembaga Yasin Alsys
ISSN : 30468914     EISSN : 30469694     DOI : https://doi.org/10.58578/mjaei
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering
Mikailalsys Journal of Advanced Engineering International [3046-8914 (Print) and 3046-9694 (Online)] is a double-blind peer-reviewed, and open-access journal dedicated to disseminating all information contributing to the understanding and development of the fields of engineering and technology across various disciplines. MJAEI aims to be a platform for researchers, scientists, and practitioners in various engineering disciplines to share their knowledge and innovative ideas, foster cross-disciplinary collaboration, and contribute to technological and scientific advancements. We invite authors from around the world to contribute to the advancement of engineering and technology fields. MJAEI publishes three editions a year in March, July and November.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 66 Documents
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Simulation Study of an Arduino-Driven Heart Monitoring System for Maternal Well-Being Nazif, D. M.; Umar, Sadiq; Ahmad, Muhammad Aminu; Abdullahi, Nasiru; Nghalmi, S. B.; Abdulrahman, Aliyu
Mikailalsys Journal of Advanced Engineering International Vol 2 No 3 (2025): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v2i3.7528

Abstract

Maternal cardiovascular health significantly influences pregnancy outcomes; however, conventional monitoring practices often depend on sporadic clinical evaluations, hindering the prompt identification of potential abnormalities. This study presents the design and simulation of a cost-effective, Arduino-based maternal heart monitoring system intended to facilitate early detection of cardiovascular irregularities during pregnancy. The system was developed using Proteus 8.15 simulation software and comprises an Arduino Uno microcontroller, a virtual heartbeat sensor, an LCD display, LED indicators, and buzzer alarms. The simulated environment replicates real-time physiological signal acquisition, processing, classification, and alert generation across various heart rate scenarios, including bradycardia, tachycardia, and normal rhythms. The system accurately classified these conditions and triggered appropriate audiovisual alerts during abnormal episodes. Signal fidelity was verified using a virtual oscilloscope, and the system reliably identified critical thresholds such as severe bradycardia (≤25 BPM) and tachycardia (≥145 BPM). These results underscore the potential of the proposed solution as an offline, low-cost monitoring tool particularly suitable for deployment in resource-constrained settings. Future research should advance this work through physical prototyping, integration with fetal monitoring systems, and empirical validation in clinical and rural contexts to assess its practical efficacy and scalability.
Hydrothermal Liquefaction of Mango Seed Kernel to Biocrude Oil and Hydrochar as a Precursor for Biofuel and Chemicals Stone, A. M.; Garba, K.; Adamu, M. B.; Hammari, A. M.
Mikailalsys Journal of Advanced Engineering International Vol 2 No 3 (2025): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v2i3.7671

Abstract

As the global population grows and conventional resources are rapidly depleted, ensuring energy security and environmental sustainability requires the development of alternative energy sources. High-moisture food waste can be converted into valuable products through hydrothermal liquefaction (HTL), which offers an alternative to traditional waste treatment methods by processing biomass with high moisture content without prior drying, operating at 250–400 °C and 7–10 MPa to produce an energy-dense liquid fuel precursor known as bio-crude oil. This study investigates the thermal decomposition behavior of mango seed kernel (MSK) under batch HTL conditions. The MSK feedstock is characterized by a volatile matter content of 68.71% w/w, fixed carbon of 23.64% w/w, oxygen of 46.13% w/w on a dry basis, and a higher heating value (HHV) of 12.72 MJ/kg. Experiments were conducted at different temperatures (275, 300, and 325 °C) and reaction times (15, 30, and 45 min) at a constant biomass-to-water ratio of 1:7. The maximum bio-oil yield of 27.75 wt% was obtained at 300 °C for 30 min, with carboxylic acids/esters identified as the main compounds in both the light and heavy biocrude oil fractions. The resulting hydrochar exhibited a high carbon content (75–81 wt%), moderate oxygen content (19–24 wt%), and trace amounts of K, Ca, Mg, and P, while FTIR analysis revealed a carbon-rich matrix with oxygenated functionalities (–OH, C=O, and C–O groups) together with aromatic C=C stretches. The study underscores the potential of MSK-derived bio-oil as a precursor for biofuels and biochemicals and highlights the need for further research on harnessing other HTL by-products, such as gases and aqueous organics, for biofuel, biochemical, and related applications.
Comparative Study of Shifted Chebyshev Polynomials on the Solution of Nonlinear Boundary Value Problems Bepo, A. A.; Oderinu, R. A.; Aderibigbe, A. N.; Adebisi, O.; Akindele, A. A.
Mikailalsys Journal of Advanced Engineering International Vol 2 No 3 (2025): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v2i3.7851

Abstract

The usefulness of orthogonal polynomials has increasingly been extended to the solution of initial and boundary value problems in recent years. Among these, Chebyshev polynomials—classified into four distinct kinds—are widely employed; however, trial functions in numerical schemes have predominantly relied on polynomials of the second kind, with limited attention to the others. This study applies all four kinds of Chebyshev polynomials as trial functions within the collocation method. Shifted forms of each kind of Chebyshev polynomial were used as trial functions and substituted into the governing differential equations. The resulting equations were then evaluated at selected collocation points within the domain, converting the differential equations into systems of linear equations, which were solved simultaneously using Maple 18.0 software. For each kind of Chebyshev polynomial, approximations of sixth, tenth, and twelfth order were constructed, and the corresponding results were compared with available exact solutions and, where exact solutions were not available, with results from other established numerical methods. Three mathematical problems were considered to validate the effectiveness of the four kinds of Chebyshev polynomials in this framework. Residual equations for each kind of polynomial were obtained at different orders, and the associated constants were also determined for each order, thereby providing a systematic assessment of their performance as trial functions in the collocation technique.
A Study on the Production of Hydrocarbons from Used Thermoplastics in the Republic of Congo Berry, Ulrich; Mabelet, Lagloire Bienvenu
Mikailalsys Journal of Advanced Engineering International Vol 2 No 3 (2025): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v2i3.8076

Abstract

End-of-life plastics represent a major hazardous waste stream worldwide, with an estimated 353 million tons of plastic waste generated in 2019 (Global Plastics Outlook, 2019). Their non-biodegradable nature causes significant environmental and health problems, including landscape degradation, proliferation of harmful insects, and fire hazards, with toxic smoke posing serious risks to human health. In the context of high demand for raw materials and the depletion of petroleum resources, the management of these wastes has become a critical environmental challenge, making recycling and energy recovery from plastics an essential component of sustainable development strategies. The aim of this study is to convert these wastes into fuels, thereby providing both economic and ecological benefits. Among the possible processes, pyrolysis is preferred because it decomposes plastics at lower temperatures than incineration or gasification, reducing the risk of metal evaporation and the release of other toxic substances. Therefore, pyrolysis emerges as an effective solution to reduce the volume of used plastics while producing reusable hydrocarbons.
Practical Use of Derivatives in Different Engineering Fields Shah, Praveen; Sahani, Suresh Kumar
Mikailalsys Journal of Advanced Engineering International Vol 3 No 1 (2026): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v3i1.8274

Abstract

This study examines the practical applications of derivatives as a cornerstone of engineering mathematics, enabling precise quantification of rates of change, optimization of processes, and accurate prediction of system behavior. It aims to demonstrate how derivatives are operationalized across mechanical, electrical, civil, chemical, aerospace, and computer engineering through motion analysis, structural integrity assessment, electrical circuit dynamics, chemical reaction rate calculations, flight stability analysis, and computational optimization. Employing case studies, mathematical models, and real-world examples, the paper systematizes the role of derivatives in formulating and solving engineering problems, supported by illustrative tables, formulas, and graphs that clarify key computational steps and outcomes. The findings highlight that derivatives provide a unifying analytical framework for modeling dynamic phenomena, improving design reliability, and enhancing control and optimization strategies across diverse engineering domains. The study concludes that a rigorous understanding and applied use of derivatives are essential for effective engineering analysis and decision-making, with implications for strengthening curricula in engineering mathematics and promoting derivative-based approaches in professional engineering practice.
Physical Properties of Petroleum Products Marketed in Congo Berry, Ulrich; Motoula, Smäel Magloire Elombo; Ndzessou, Westinevy Benarez
Mikailalsys Journal of Advanced Engineering International Vol 3 No 1 (2026): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v3i1.8355

Abstract

The use of fuels and combustibles in internal combustion engines requires strict quality standards to ensure operational efficiency and to limit the environmental impact of emissions. This study focuses on the characterization of the physical properties of petroleum products marketed in Congo, with particular attention to parameters that are critical for proper engine functioning and environmental performance. To achieve this objective, a series of laboratory analyses was conducted on petroleum product samples to determine mass density, specific gravity, color, pH, and viscosity. These measurements were obtained using a controlled experimental setup that included a precision balance, test tube, stopwatch, and an aluminum-ball arrangement for viscosity determination. The characterization carried out provides a coherent description of the physical quality of the petroleum products examined and illustrates how essential fuel properties can be systematically monitored through relatively simple but rigorous testing procedures. The study concludes that careful control of these physical parameters is fundamental to ensuring that petroleum products meet the standards required for safe, efficient engine operation and for reducing the potential contribution of inadequate fuel quality to environmental pollution, thereby underscoring the importance of strengthening quality control practices in the fuel supply chain.
The Algorithmic Leviathan: Artificial Intelligence, the Reshaping of Political Power, and the Existential Threat to Human Agency Rahman, Ashikur
Mikailalsys Journal of Advanced Engineering International Vol 3 No 1 (2026): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v3i1.7858

Abstract

Artificial intelligence (AI) has evolved from a technological innovation into a strategic instrument of political power that is central to governance and international influence. In the contemporary world, AI systems mediate the production, distribution, and perception of information, thereby reshaping relations between citizens, governments, and states. This paper examines the complex role of AI in global politics—ranging from election manipulation and propaganda to cyber warfare, digital surveillance, and transnational crime—showing how AI-driven technologies now permeate nearly all spheres of human interaction and operate at the intersection of political communication, control, and persuasion through algorithmic and data-driven processes. Combining theoretical analysis with empirical case evidence, the study employs frameworks such as technopolitics, algorithmic governance, and political communication theory to conceptualize AI simultaneously as a politically active actor and as a technological tool of power. Drawing on case studies, it analyzes how states and political entities deploy AI to gain strategic advantage: in Russia, AI has been associated with disinformation operations, fabricated media content, and coordinated social media manipulation aimed at influencing foreign elections and undermining democratic institutions; in the United States, AI-driven data analytics and sentiment modeling have transformed electoral campaigning by enabling hyper-personalized voter targeting, while raising profound concerns about privacy and political manipulation; and in Bangladesh, reports of the Awami League’s use of AI-assisted bot networks and synthetic digital content illustrate the growing role of AI in shaping domestic political discourse. Collectively, these dynamics demonstrate that AI now functions as a core vector of political power in an interconnected world, intensifying long-standing debates over sovereignty, legitimacy, and democratic accountability.
Promoting the Effective Use of AI in Learning: A Smart Student’s Perspective at Karl Kumm University, Vom Abba, Dadi Jonathan; Yarma, Adamu Ahmed; Dudari, Mafeng Jamima
Mikailalsys Journal of Advanced Engineering International Vol 3 No 1 (2026): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v3i1.8015

Abstract

Artificial intelligence (AI), with its capacity to support individualized learning, efficient research, and enhanced academic productivity, has become a disruptive force in higher education. However, limited understanding, low levels of digital literacy, and ethical concerns prevent many students from harnessing AI effectively. This study examines strategies for promoting the efficient and responsible use of AI in education from the perspective of “smart students” at Karl Kumm University, Vom. Using a mixed-methods design, data were collected from 200 undergraduate students through surveys and interviews to explore AI awareness, adoption patterns, perceived benefits, and perceived challenges. The findings indicate that students recognize AI’s potential to improve learning and engagement, yet its optimal use is constrained by inadequate technical skills, fears of over-reliance, and unresolved ethical issues. The study proposes practical interventions, including mentorship schemes, curriculum integration, structured training programs, and clear ethical use guidelines, to foster more responsible and effective adoption of AI in learning. Overall, the results provide actionable insights for higher education institutions seeking to leverage AI to improve academic outcomes and to cultivate an innovative, self-directed learning culture by enabling students to become discerning and competent AI users.
Elzaki Transform Approach for Solving Linear Proportional Delay Differential Equations L. N., Sanda; J. O., Okai; U.M., Nasir; Mujahid, U. A.; Cornelius, Michael; G.S., Ndam
Mikailalsys Journal of Advanced Engineering International Vol 3 No 1 (2026): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v3i1.8105

Abstract

Proportional delay differential equations (PDDEs) arise naturally in physics, economics, population dynamics, epidemiology, and viscoelasticity due to delays that scale proportionally with the independent variable, yet they remain analytically challenging because the delayed argument disrupts the classical structure of ordinary differential equations. This paper presents a human-centered, simplified, and computationally friendly method for solving linear PDDEs using a hybrid approach that combines the Elzaki Transform with established decomposition techniques. Within this framework, the Elzaki Transform is used to convert the original PDDE into an associated functional equation, which is then handled through a systematic decomposition process that avoids excessive algebraic complexity. Two illustrative examples are worked out in detail to demonstrate the step-by-step implementation of the method, showing that the proposed approach yields solutions efficiently while preserving mathematical rigor and interpretability. The analysis highlights that the hybrid Elzaki–decomposition technique offers conceptual transparency, reduces computational overhead, and provides a practical alternative to classical transform-based and purely numerical schemes for linear PDDEs. The study concludes that this approach can serve as an accessible yet robust tool for applied researchers who routinely encounter PDDEs, and it opens pathways for future extensions to more general classes of delay and functional differential equations.
Impact of Periodic Body Acceleration on Fractional Blood Flow Modeled as a Non-Newtonian Jeffery-Type Fluid in Stenosed Arteries Aliyu, Shehu Adamu; Ismail, Habujika Abdulhadi
Mikailalsys Journal of Advanced Engineering International Vol 3 No 1 (2026): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v3i1.8180

Abstract

This study comprehensively explores the impact of hemodynamic parameters on nanoparticle transport and blood flow dynamics in stenosed arteries, with the objective of identifying how these parameters can be manipulated to improve targeted drug delivery and circulatory function in regions affected by vascular constriction. A mathematical model was formulated that incorporates externally induced factors, including baseline blood flow rates, the pulsatile nature of cardiac-induced oscillations, phase angles between these oscillations and the flow, and externally applied periodic body acceleration (PBA). The analysis reveals that increasing baseline blood flow enhances the distribution of oxygen and nutrients throughout the arterial system, highlighting the importance of optimized base flow conditions for maintaining tissue perfusion in stenotic regions. The incorporation of pulsatile flow characteristics that mimic natural heartbeat-induced oscillations leads to improved shear stress distribution along arterial walls, which may help prevent plaque formation and reduce the progression of arterial narrowing. Variations in phase angle, representing the temporal shift between flow oscillations and external stimuli, were shown to influence the synchronization between blood flow and externally applied forces, with consequent effects on hemodynamic efficiency and the timing of flow responses in stenosed vessels. Furthermore, the introduction of PBA substantially increases nanoparticle mobility within the bloodstream, reducing the likelihood of particle stagnation in low-flow regions and enhancing the efficiency of nanoparticle-based drug delivery. Overall, the findings underscore the potential of optimizing fluid dynamic parameters and employing PBA as a non-invasive strategy to augment drug perfusion and support vascular health, providing a theoretical basis for the development of more effective targeted cardiovascular therapies and motivating future translational studies to assess clinical feasibility and therapeutic efficacy.

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