Garuda - Garba Rujukan Digital

All

African Multidisciplinary Journal of Sciences and Artificial Intelligence

AMJSAI
Website

Published by Lembaga Yasin Alsys

ISSN : - EISSN : 15957969 DOI : https://doi.org/10.58578/AMJSAI

Core Subject : Science, Agriculture, Social, Engineering,

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Environmental Science Materials Science & Nanotechnology

African Multidisciplinary Journal of Sciences and Artificial Intelligence aims to publish high-quality, peer-reviewed scholarship that advances scientific knowledge and fosters multidisciplinary integration across the sciences, engineering, health, agriculture, environmental studies, and artificial intelligence. • Scientific Advancement: disseminate rigorous empirical, experimental, analytical, and computational studies across core and applied scientific fields. • Artificial Intelligence Integration: encourage responsible and evidence-based use of AI in scientific discovery, modeling, prediction, diagnosis, and optimization. • Multidisciplinary Convergence: promote studies that connect multiple scientific domains to address complex technical, environmental, biological, and societal challenges. • Innovation and Application: support research that translates scientific and technological knowledge into usable solutions, systems, products, or interventions. Submissions should clearly formulate the research problem, report methods transparently, present defensible evidence, and articulate a well-defined contribution to scientific knowledge and/or multidisciplinary application.

Arjuna Subject : Umum - Umum

Articles 119 Documents

8 9 10 11 12

Efficiency of Rice Processing Among Women Processors in Southern Taraba, Taraba State, Nigeria N. K. Mikailu; F. B. Filli; U. H. Ukpe
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 2 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i2.9477

Rice processing plays an important role in rural livelihoods and local food systems in Nigeria; however, evidence on the economic efficiency of women processors remains essential for informing productivity-enhancing interventions. This study analyzed the efficiency of rice processing among women processors in Southern Taraba, Taraba State, Nigeria. A multi-stage sampling technique was used to select 70 respondents from Wukari and Donga Local Government Areas. Primary data were collected through structured questionnaires and analyzed using descriptive statistics, gross margin analysis, and net income estimation. The results showed that 89% of the processors were aged 50 years or below, with a mean age of 38.6 years, indicating a relatively young and active workforce. Most respondents had formal education (90%), 63% were married, and the average household size was five persons. Profitability analysis demonstrated that rice processing was a viable enterprise, with a total revenue of ₦711,064.40 and a total cost of ₦471,638.87 per processing day, resulting in a gross margin of ₦240,751.33 and a net income of ₦239,425.53. The return per naira invested was 0.51, implying that processors realized a gain of 51 kobo for every naira invested. Paddy rice constituted the largest cost component, accounting for 90.37% of variable costs. The study concludes that rice processing among women in the study area is profitable, although its efficiency is constrained by inadequate capital, limited access to modern equipment, and insufficient technical training. These findings highlight the need for improved access to modern milling technology, credit facilities, and regular capacity-building programs to enhance processing efficiency and support broader food security goals in Nigeria.

Sustainable Rice Husk Mixture Fibre–Stripe Polyethylene Film Composites: Effects of Recycling and Alkali Treatment on Water Absorption, Flammability, Density, and Mechanical Properties Mathias Bifam; Yakubu Joshua; Alheri Andrew; Peter Micheal Dass
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 2 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i2.10004

The increasing accumulation of plastic and agricultural waste has intensified interest in sustainable polymer composites that combine improved material performance with environmental value. This study investigates the water absorption, flammability, density, hardness, and tensile strength of composites prepared from used and unused stripe polyethylene (PE) films and rice husk mixture fibres, with and without NaOH treatment. Water absorption testing showed that composites made with used PE exhibited the highest uptake, reaching 88.35% after 24 hours, which was attributed to polymer degradation and microvoid formation, whereas unused PE composites demonstrated superior moisture resistance, with absorption as low as 2.19%. NaOH-treated rice husk improved fibre–matrix adhesion and produced intermediate absorption values. Flammability analysis revealed that used PE composites burned faster, with rates of 0.88–0.39 mm/sec, compared with unused PE composites, which recorded 0.65–0.28 mm/sec, while NaOH treatment reduced flammability through enhanced char formation and silica content. Density measurements indicated lower values for used PE composites, ranging from 1.18 to 2.25 g/cm³, due to chain scission and void formation, whereas unused PE composites maintained higher densities of up to 2.75 g/cm³. Hardness and tensile strength increased with PE content, with unused PE composites achieving the highest values of 36.60 MPa and 54.90 MPa, respectively, while NaOH-treated rice husk composites provided balanced mechanical reinforcement. The study concludes that unused PE offers superior mechanical performance and moisture resistance, whereas NaOH-treated rice husk enhances interfacial bonding and fire-safety characteristics. These findings contribute to the development of sustainable rice husk–polyethylene composites as potential eco-friendly materials for packaging, construction, and automotive applications.

Data-Driven Identification of Stochastic Dynamical Systems Rishav Jha; Kameshwar Sahani; Suresh Kumar Sahani; Ravi Kumar Raj; Dilip Kumar Sah
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 2 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i2.10238

Identifying stochastic dynamical systems from observational data remains a major challenge in applied mathematics and engineering, particularly when complex systems are influenced by random perturbations and incomplete empirical information. This comprehensive review aims to examine state-of-the-art data-driven methods for discovering governing equations, estimating parameters, and predicting the behavior of stochastic dynamical systems. The review systematically analyzes key methodological approaches, including Sparse Identification of Nonlinear Dynamics (SINDy), Dynamic Mode Decomposition (DMD) and its extensions, Koopman operator theory, neural ordinary differential equations, and Bayesian inference. Each approach is evaluated in terms of its theoretical foundations, computational requirements, robustness to noise, and applicability to different classes of stochastic systems. Drawing on numerical experiments and real-world case studies, the findings show that no single method consistently outperforms others across all scenarios. Instead, hybrid approaches that integrate physics-informed constraints with machine learning demonstrate the strongest potential for advancing data-driven system identification. The review concludes that future research should address real-time identification, uncertainty quantification, and the integration of multi-fidelity data sources to improve the reliability and scalability of stochastic system modeling. This work contributes a comprehensive framework for guiding researchers and practitioners in selecting and implementing appropriate identification methods for stochastic dynamical systems.

An Epidemiological Survey of Work-Related Musculoskeletal Disorders among Welders in a Conflict-Recovery Region: In North-Eastern, Nigeria Suleiman Mohammed; Mannir Kassim; Hamza Sabo Muhammad; Bishir Sabo; Usman Gidado
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 2 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i2.10457

Welding is an arduous occupation characterized by repetitive tasks, prolonged awkward postures, and substantial biomechanical strain. In the conflict-recovery context of North-Eastern Nigeria, the absence of ergonomic regulation within the informal sector may further increase the risk of work-related musculoskeletal disorders (WRMSDs). This study aims to evaluate the prevalence, anatomical distribution, and functional disability associated with WRMSDs among welders in Maiduguri, Borno State, Nigeria. A cross-sectional descriptive survey was conducted among 306 welders using a modified Standardized Nordic Musculoskeletal Questionnaire. Data were collected on socio-demographic characteristics, 12-month period prevalence, 7-day point prevalence, and work-related disability. Data were analyzed using descriptive statistics and chi-square analysis, with statistical significance set at p < .05. The findings show that most participants were aged 33–37 years (33.3%) and had an occupational tenure of 2–12 years (53.9%). The axial skeleton emerged as the primary site of morbidity, with a 12-month prevalence of 31.6% for the lower back and 31.0% for the neck. A severity paradox was identified in the lumbar region, where the reported disability rate (34.3%) exceeded the overall period prevalence, suggesting that most lumbar injuries in this cohort progressed to total functional impairment. High 7-day point prevalence was also observed for both the neck (31.6%) and lower back (31.3%), indicating chronic and persistent morbidity. No statistically significant associations were found between demographic variables and WRMSD occurrence, p > .05. The study concludes that welders in North-Eastern Nigeria experience a substantial burden of chronic spinal stress, with the lower back serving as the leading source of occupational disability. This study contributes to occupational health research by highlighting the rapid transition from musculoskeletal discomfort to functional impairment in informal welding work. The findings imply the need for targeted ergonomic interventions, community-based occupational physiotherapy, and workplace modifications to protect the physical health and productivity of this essential workforce during regional economic reconstruction.

Analysis of Variance in the Beverage Filling Process: An Application of One-Way ANOVA to Product Lines at Seven-Up Bottling Company, Kaduna, Nigeria Chinedu Samuel Onyedika
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 2 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i2.11205

Consistency in beverage filling is essential for regulatory compliance, product quality, and consumer confidence, particularly in high-volume bottling operations involving multiple product lines. This study investigated whether mean net-content filling values differed significantly across five product lines—7UP, Mirinda Orange, Mountain Dew, Pepsi, and Teem Bitter Lemon—at the Seven-Up Bottling Company Kaduna Plant. Net-content filling data were collected during morning, afternoon, and night production shifts on selected production days between July and August 2021, yielding 75 observations, with 15 observations obtained for each product. A one-way analysis of variance was conducted to compare mean filling values across the five product lines, followed by Tukey simultaneous comparisons and Fisher individual tests for pairwise differences in means. The analysis revealed no statistically significant difference in mean filling values across the product lines, F = 0.30, p = .879, at α = .05. The post hoc analyses corroborated this result, as all adjusted pairwise p-values exceeded the .05 significance threshold. Accordingly, the null hypothesis that the five product lines had equal mean filling values was not rejected. These findings indicate that the filling process did not generate statistically different filling outcomes across product types during the study period. The observed filling-related variation is therefore more consistent with common-cause process variation than with product-specific assignable causes. The study contributes empirical evidence for strengthening statistical quality-control practices in beverage production and underscores the importance of continuous process monitoring to maintain net-content consistency across product lines.

Political Leadership and Public Trust in Nigeria: Review of the COVID-19 Global Pandemic Lockdown and End SARS Protest Iliyasu Biu M; Bala Galadima Joji; Rehila Jenis K; Yusuf Sani
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 3 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i3.11640

Public trust is fundamental to good governance, particularly during national crises that require political legitimacy, institutional responsiveness, and public cooperation. This study examines political leadership and public crisis-management strategies during Nigeria’s 2020 COVID-19 lockdown and considers their relationship with the subsequent EndSARS mass protests. Grounded in Authentic Leadership Theory, the study investigates citizens’ perceptions of governmental trustworthiness by assessing the antecedents, statements, and practices of political leaders during the pandemic. It employs qualitative content analysis of selected speeches delivered by political leaders during the national lockdown and interprets them comparatively in relation to selected global experiences. The analysis suggests that deficiencies in political leadership and crisis communication contributed to declining public trust and intensified public dissatisfaction, which formed an important context for the EndSARS protests. The study therefore reinforces the proposition that the quality of leadership substantially determines the effectiveness of crisis governance and the public’s response to governmental actions. It concludes that strengthening public trust in Nigeria requires reforms addressing the institutional and political-cultural conditions surrounding leadership emergence, supported by constitutional amendments and genuine judicial independence. The study contributes to scholarship on authentic leadership, crisis governance, and political trust by connecting governmental responses during the COVID-19 pandemic with broader patterns of citizen mobilization and demands for accountable governance. Keywords:

Inverted Bilayered Opal Photoanodes for Dye Sensitised Solar Cells E. A. Kamba; E. A. Yerima; E. B. AttahDaniel
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 3 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i3.11642

Developing efficient photoanode materials remains a major challenge in improving the performance of dye-sensitized solar cells (DSSCs). This study aims to fabricate and evaluate a bilayer photoanode comprising potassium titanate (K₂Ti₄O₉) nanobelts coupled with a zinc oxide (ZnO) inverse-opal structure and to investigate the effects of electrolyte cation identity and concentration on DSSC performance. K₂Ti₄O₉ nanobelts were synthesized through a solid-state reaction between potassium carbonate (K₂CO₃) and titanium dioxide (TiO₂) and subsequently integrated with the ZnO inverse-opal layer. Photocurrent–voltage measurements were conducted using a two-electrode DSSC configuration containing an I₃⁻/I⁻ redox electrolyte. The devices were illuminated using a 300 W xenon arc lamp equipped with an AM 1.5G filter at an intensity of 100 mW cm⁻². The findings show that the ZnO inverse-opal/K₂Ti₄O₉ bilayer system achieved a photoelectric conversion efficiency of 1.19%, exceeding the 1.04% efficiency obtained using the single K₂Ti₄O₉ system. This improvement indicates that the ZnO inverse-opal layer contributes substantially to device performance by functioning as a photonic-crystal underlayer. The study demonstrates the potential of integrating ZnO inverse-opal structures with K₂Ti₄O₉ nanobelts to enhance DSSC photoanode performance and provides a basis for developing bilayered photonic architectures for solar-energy conversion.

Assessment of Media Influence on Youth Participation in Self-Help Community Development Project in Jalingo Metropolis Lazarus Siman; Agabison Shidobani Dorcas
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 3 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i3.11643

Youth participation is essential to the sustainability of self-help community development initiatives, yet the extent to which media coverage facilitates such engagement remains insufficiently understood in Jalingo Metropolis, Taraba State, Nigeria. This study examines the influence of media coverage on youth awareness, motivation, and participation in grassroots community development projects. Anchored in Participatory Development Theory and Agenda-Setting Theory, the study employed a survey research design. A sample of 399 respondents was determined using the Taro Yamane formula, of whom 381 provided valid responses for analysis. The findings indicate that exposure to radio, television, newspapers, and social media significantly enhances youths’ awareness of, perceived relevance of, and motivation to participate in self-help community development initiatives. Social media emerged as the most influential platform because of its interactive features and youth-oriented content formats. The results further show that consistent media messaging and success narratives strengthen sustained youth engagement across different phases of community development projects. However, inconsistent messaging and limited development-focused programming constrain the capacity of the media to promote optimal participation. The study concludes that strategic and coordinated multi-platform media engagement is critical to strengthening youth involvement in community-driven development. It contributes to development communication scholarship by demonstrating how media exposure and message consistency shape grassroots participation and recommends stronger collaboration between media institutions and development stakeholders.

Integration of Artificial Intelligence and Remote Sensing: Review of the Progress, Problems and Prospects Thomas U. Omali
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 3 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i3.11822

The integration of artificial intelligence (AI) and remote sensing (RS) has transformed Earth observation (EO) by enabling the automated, efficient, and precise analysis of large and complex datasets. Rapid advances in machine learning (ML) and deep learning (DL) have further enhanced the processing and interpretation of RS data. This review examines the progress, persistent challenges, and future prospects of integrating AI with RS. Relevant literature was identified through searches of Scopus, Web of Science, IEEE Xplore, and Google Scholar using combinations of terms related to AI, ML, DL, and RS. The reviewed literature indicates that AI substantially improves the efficiency and precision of RS data processing and interpretation while expanding opportunities for automation and data-driven decision-making. Nevertheless, the broader adoption of AI-driven RS remains constrained by data quality and heterogeneity, computational demands, limited model generalisability and explainability, and ethical concerns. Future research should prioritise model efficiency, interpretability, and adaptability, alongside multimodal learning, unsupervised and semi-supervised learning, and real-time AI deployment for global-scale applications. This review consolidates current advances and limitations in AI-enabled RS and provides a research agenda for developing more efficient, interpretable, and flexible models for Earth observation applications.

Page 12 of 12 | Total Record : 119

8 9 10 11 12

Filter by Year

2024 2026

Filter By Issues

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
M. Irwan Hadi

Contact Email
office@yasin-alsys.org

Phone
+6285799379817

Journal Mail Official
office@yasin-alsys.org

Editorial Address
Jln Yasin No 01 Keruak, Kec. Keruak, Lombok Timut, NTB

Location
Kab. lombok timur,

Nusa tenggara barat

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name M. Irwan Hadi

Contact Email office@yasin-alsys.org

Phone +6285799379817

Journal Mail Official office@yasin-alsys.org

Editorial Address Jln Yasin No 01 Keruak, Kec. Keruak, Lombok Timut, NTB

Location Kab. lombok timur, Nusa tenggara barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
M. Irwan Hadi

Contact Email
office@yasin-alsys.org

Phone
+6285799379817

Journal Mail Official
office@yasin-alsys.org

Editorial Address
Jln Yasin No 01 Keruak, Kec. Keruak, Lombok Timut, NTB

Location
Kab. lombok timur,

Nusa tenggara barat

INDONESIA