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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 56 Documents
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Regression Analysis and Forecasting with Regression Model in Economics Kumar, Nand Kishor; Shah, Raj Kumar; Sahani, Suresh Kumar
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (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.v2i2.5401

Abstract

This work aims to provide a mathematical model that can be applied to prediction and defines this relationship. It helps economists understand how different factors influence economic indicators such as GDP, inflation, unemployment, and market trends. Forecasting using regression models provides valuable insights for policy-making, business strategies, and economic planning.
Exploring and Developing Advanced RF MEMS Switches for 5G Applications, Focusing on High Performance Solutions for RF Front End Modules Gideon, Edikan Nse
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (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.v2i2.5407

Abstract

This work demonstrates a piezoelectric actuated RF MEMS switch optimized for 5G/6G front end modules, achieving breakthrough performance through novel ruthenium (Ru) contacts and low voltage (4.8V) operation. The switch combines a 150 µm SiN/AlN beam with tapered CPW lines to address critical challenges in mmWave systems: 0.35 dB insertion loss and 32 dB isolation at 28 GHz, outperforming electrostatic MEMS by 60% in voltage requirements and 0.15 dB in loss reduction. Ruthenium contact technology enables >10⁸ cycles at 0.5W with <10% resistance degradation, solving the reliability limitations of conventional gold contacts. Hermetic wafer level packaging with integrated getters yields 92% device survivability after thermal cycling ( 55°C to 125°C). Challenges in 60 GHz isolation (27 dB) and flip chip integration losses (0.1 dB) are quantified, providing clear pathways for 6G scaling. This work establishes a CMOS compatible, high reliability solution for 5G massive MIMO and future reconfigurable THz systems.
Recycling Antibiotics into GUMBOS: A Novel Approach to Address Multi-Drug-Resistant Bacteria Bakare-Abidola, Taiwo; Adisa, Ayobami; Olaoye, Jelil
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (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.v2i2.5408

Abstract

Antimicrobial resistance (AMR) represents one of the most critical global health challenges, as multidrug-resistant (MDR) pathogens continue to rise, threatening the efficacy of conventional antibiotics. To combat this growing threat, innovative approaches, such as the recycling of antibiotics into Group of Uniform Materials Based on Organic Salts (GUMBOS), have emerged. GUMBOS are a novel class of compounds formed by combining antibiotics with counter-ions to modify their physicochemical properties, leading to enhanced antimicrobial activity, stability, and bioactivity. This review explores the design, mechanisms of action, and applications of GUMBOS, highlighting their potential in overcoming resistance, improving drug delivery, and offering new therapeutic options. The review also discusses the challenges and limitations, including toxicity concerns, scale-up difficulties, and regulatory hurdles. Furthermore, it emphasizes future perspectives, including the integration of GUMBOS with nanotechnology and their potential as a platform for broader drug repurposing. Although promising, the successful clinical translation of GUMBOS will require extensive in vivo studies and clinical trials to confirm their safety and efficacy. This approach not only presents a sustainable solution to AMR but also opens new avenues for the innovative delivery of therapeutic agents.
A Poisson Quasi Suja Distribution Ogunmola, Adeniyi Oyewole; Bamigbala, Olateju Alao
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (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.v2i2.5398

Abstract

Two-parameter Poisson Quasi Suja distribution (PQSD) derived from the two-parameter quasi suja distribution is proposed for extremely positively count data. Its survival and hazard functions, first four raw moments’ measures were expressed. The variance, coefficient of variation, index of dispersion, skewness and kurtosis were also obtained. The impacts of each parameter in the new distribution were assessed.
RETRACTED: Impact of Boko Haram Insurgency on Governance and Socio-Economic Development in Borno State, Nigeria Emmanuel, Joseph; Yusufari, Adamu Gujungu; Chuga, Jennifer Finyien
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (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.v2i2.5532

Abstract

This study examined the impact of Boko Haram insurgency on governance and socio-economic development in Borno State, Nigeria. Using a descriptive survey design, the study targeted 553 respondents comprising district heads, ward councillors, local government chairmen, and members of the State House of Assembly. A purposive sampling technique was employed to select 139 participants, and data was collected using a structured questionnaire and key informant interviews. Findings revealed that the insurgency significantly weakened state institutions, disrupted electoral processes, eroded public trust in governance, and fostered corruption and lawlessness. On the socio-economic front, the insurgency caused widespread destruction of infrastructure, disrupted trade and investment, hindered access to education and healthcare, displaced populations, and escalated poverty. The study concluded that the Boko Haram insurgency poses serious challenges to governance and socio-economic development in Borno State. Recommendations were made for strengthening state institutions, enhancing security operations, promoting economic recovery, supporting displaced persons, and initiating long-term peacebuilding programs to address the root causes of the conflict and foster sustainable development.
Forecasting Nigeria Inflation Rate Using Autoregressive Integrated Moving Average (ARIMA) Model Ikrimat, Aliyu; Akobi, Clement; Peter, Pantuvo Tsoke; Gatta, Abdulganiy Abdullahi
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (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.v2i2.5649

Abstract

This study focuses on forecasting Nigeria's inflation rate using the Autoregressive Integrated Moving Average (ARIMA) model. The research utilizes monthly inflation data from January 2010 to December 2024, obtained from the Central Bank of Nigeria (CBN). The primary objective is to model and forecast inflation trends in Nigeria, which has been experiencing significant inflationary pressures in recent years. The study employs the Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests to check for stationarity, revealing that the inflation series becomes stationary after a second differencing (I (2)). The ARIMA (2,2,1) model is identified as the best fit based on the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), providing a balance between model complexity and predictive accuracy. The model reveals strong autoregressive and moving average dynamics, with significant coefficients for AR (1), AR (2), and MA (1) terms. The forecasted inflation rates for 2025 indicate a steady upward trend, with inflation expected to rise from 35.26% in January to 38.93% by December 2025. The findings highlight the persistent inflationary pressures in Nigeria, driven by factors such as currency depreciation, rising food prices, and energy costs. The study concludes that the ARIMA (2,2,1) model is effective for forecasting Nigeria's inflation rate and recommends that policymakers implement measures to stabilize the economy, including tighter monetary policies, fiscal discipline, and investments in domestic production to mitigate inflationary pressures. Continuous monitoring and timely adjustments to economic policies are also emphasized to address the ongoing challenges posed by inflation. Additionally, the study recommends diversifying the economy to reduce dependence on oil exports, improving agricultural productivity to curb food price volatility, and enhancing data collection methods for more accurate inflation forecasting.
Effective Treatment of Pharmaceutical Waste Water Through Adsorption Using Sugarcane Bagasse Derived Cellulose Nanocrystal as an Innovative Adsorbent Hammari, Abubakar M.; Hamza, U. D.; Ibrahim, Maryam; Garba, Kabir; Muhammad, I. M.
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (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.v2i2.5833

Abstract

This study investigates the production of cellulose nanocrystals (CNCs) from sugarcane bagasse and evaluates their adsorption performance for the removal of metronidazole (MNZ) from aqueous solutions. CNCs were synthesized through acid hydrolysis and characterized for use as an adsorbent. Batch adsorption experiments were conducted to assess the interaction between MNZ and CNCs under varying conditions. Equilibrium data were analyzed using Langmuir and Freundlich isotherm models, with the Freundlich model demonstrating a superior fit (R² = 0.8818), indicating multilayer adsorption on a heterogeneous surface. Kinetic modeling revealed that the adsorption process followed a pseudo-second-order model (R² = 0.9972), suggesting that chemisorption is the dominant mechanism. Thermodynamic parameters, including Gibbs free energy (ΔG), enthalpy (ΔH), and entropy (ΔS), were calculated to understand the nature of the adsorption. Negative ΔG values at all examined temperatures confirmed the spontaneous nature of the process, while positive ΔH values indicated that adsorption was endothermic and favored at elevated temperatures. The results collectively demonstrate that sugarcane bagasse-derived CNCs exhibit promising adsorption capabilities for MNZ, combining favorable kinetics, thermodynamics, and equilibrium behavior. This work underscores the potential of agricultural waste valorization for the development of cost-effective and sustainable adsorbents for pharmaceutical pollutant removal in water treatment applications.
Kinetics and Thermodynamic Parameters of Coffee Senna Seed (Senna occidentalis) Using Degradation Data from Roasting Lawan, Muhammad Zannah; Muhammad, Idris Misau; Ahmed, Isah Saeed; Olu, Olubajo Olumide; Yusuf, Abdulkarim Abdulwadud; Maryam, Ibrahim
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (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.v2i2.6277

Abstract

Coffee Senna Seeds (CSS) have demonstrated potential as medicinal substitutes, warranting further investigation into their thermal stability for industrial applications. This study aims to establish the kinetic and thermodynamic parameters governing the thermal degradation of bioactive compounds in CSS across a temperature range of 100°C to 200°C and exposure durations of 5 to 30 minutes. Phytochemicals including cardiac glycosides, anthraquinones, phenols, flavonoids, saponins, steroids, alkaloids, terpenoids, tannins, and glycosides were analyzed to determine degradation profiles. FTIR and UV-Vis spectrophotometric analyses confirmed the decomposition of anti-nutritional components such as anthraquinones, while beneficial compounds like phenols, flavonoids, and saponins remained largely intact. Kinetic modeling indicated that the degradation followed a volume contraction mechanism, with high R² values (0.9804–0.9915) validating model fit. The low reaction order (0.28–0.397) suggests a diffusion-controlled process, while varying conversion factors (α) reflected complex internal thermal dynamics within the seed matrix. Thermodynamic evaluation revealed the degradation process to be endothermic and non-spontaneous, with enthalpy (ΔH) values decreasing from 1585.90 to 754.50 kJ/mol and Gibbs free energy (ΔG) increasing from 102.92 to 130.18 kJ/mol as temperature rose. Negative entropy (ΔS) values, approximately −271.5 kJ/K, suggest a more ordered transition state, likely due to structural reorganization during roasting. Activation energy estimates ranged from 1589 to 758 kJ/mol, showing a decreasing trend with temperature, indicative of improved reaction feasibility at higher thermal inputs. These findings enhance understanding of CSS thermal behavior, supporting its detoxification and safer utilization in industrial processing.
Performance Comparison of Tilt Integral Derivative (TID) Controller and Proportional Integral Derivative (PID) Controller for Parabolic Dish Antenna System Inah, Obi Mathias; Nazif, D. M.; Umar, Sadik; Muhammad, Fatima; Bal., Yakubu Barau
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (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.v2i2.6404

Abstract

This study presents a comparative performance analysis of Proportional-Integral-Derivative (PID) and Tilt-Integral-Derivative (TID) controllers in the context of azimuth positioning for a parabolic dish antenna system. A detailed system model was developed in MATLAB/Simulink, integrating key components such as motor dynamics, amplifier behavior, potentiometer-based feedback, and gear mechanisms. The performance of both controllers was evaluated under ideal conditions and in the presence of environmental disturbances, with wind effects modeled using the Dryden wind turbulence model to simulate real-world scenarios. Key performance metrics, rise time, settling time, overshoot, and steady-state error were used to assess controller efficacy. The results indicate that the PID controller outperforms the TID controller in terms of stability, accuracy, and resilience to disturbance. Although the TID controller exhibited a marginally faster initial response, it suffered from greater overshoot and reduced stability, particularly under wind-induced disturbance. These findings underscore the robustness and suitability of PID control for high-precision antenna positioning systems, while also suggesting that enhancements to TID control may be possible through optimization techniques or hybrid controller designs.
Harmonic Improvement in Single-Phase Multilevel Inverter Using a Hybrid of Artificial Bee Colony (ABC) and Firefly (FFA) Algorithms Auwal, Ibraheem; Amoo, A. L.; Mohammed, A.; Bal, Yakubu Barau; Nazif, D. M.
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (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.v2i2.6405

Abstract

Harmonic distortion presents a significant challenge in renewable energy integration, particularly in conventional 2-level inverters. Multilevel inverters, such as the cascaded H-bridge topology, offer an effective solution by generating multiple voltage levels, thereby reducing distortion and eliminating the need for bulky filters. This study investigates harmonic reduction in a single-phase 21-level asymmetric cascaded H-bridge multilevel inverter using a novel hybrid optimization algorithm combining Artificial Bee Colony (ABC) and Firefly Algorithm (FA). The hybrid ABC-FA algorithm is designed to determine optimal switching angles for minimizing Total Harmonic Distortion (THD) while addressing the limitations of conventional heuristic methods. Modeled and simulated in MATLAB/SIMULINK, the proposed algorithm demonstrates enhanced performance in both harmonic reduction and convergence speed. Simulation results show that the hybrid ABC-FA algorithm achieves THD levels below 5%, representing a 10–20% improvement over standalone ABC or FA implementations. Additionally, the algorithm exhibits faster convergence, highlighting its effectiveness and reliability for improving power quality and facilitating efficient integration of renewable energy sources into the electrical grid.

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