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Asian Journal of Science, Technology, Engineering, and Art
Published by Lembaga Yasin Alsys
ISSN : 30255287     EISSN : 30254507     DOI : https://doi.org/10.58578/AJSTEA
Core Subject : Science, Art, Social, Engineering,
Arts Computer Science & IT Engineering Social Sciences
Asian Journal of Science, Technology, Engineering, and Art [3025-5287 (Print) and 3025-4507 (Online)] is a double-blind peer-reviewed, and open-access journal to disseminating all information contributing to the understanding and development of Science, Technology, Engineering, and Art. Its scope is international in that it welcomes articles from academics, researchers, graduate students, and policymakers. The articles published may take the form of original research, theoretical analyses, and critical reviews. AJSTEA publishes 6 editions a year in February, April, June, August, October and December. This journal has been indexed by Harvard University, Boston University, Dimensions, Scilit, Crossref, Web of Science Garuda, Google Scholar, and Base. AJSTEA Journal has authors from 5 countries (Indonesia, Nigeria, Pakistan, Nepal, and India).
Arjuna Subject : Umum - Umum
Articles 231 Documents
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Enhancing Decision Support Systems with Hybrid Machine Learning and Operations Research Models Shokare, Clarke
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 2 (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.v3i2.4933

Abstract

Decision Support Systems are critical tools in enhancing decision-making across various industries, providing data-driven insights to guide complex choices. Traditional support system , however, often face challenges related to uncertainty, complexity, and adaptability. This paper explores the integration of Hybrid Machine Learning (ML) and Operations Research (OR) models as a solution to these limitations. ML techniques, such as predictive analytics and deep learning, enable data-driven pattern recognition, while OR methodologies, including optimization and stochastic modeling, offer structured problem-solving approaches. By combining these paradigms, the proposed hybrid model aims to improve decision accuracy, resource allocation, and problem-solving efficiency.in addition, Real-world case studies in healthcare, supply chain management, finance, and transportation demonstrate the effectiveness of this hybrid approach in optimizing decision-making processes. A comparative analysis of hybrid ML-OR models with traditional DSS highlights significant improvements in computational efficiency, accuracy, and adaptability. This research underscores the potential of hybrid ML-OR frameworks to drive more intelligent, robust, and scalable decision support solutions for a wide range of applications.
Simulations and Modeling of Turbulence Flow Pattern in Pipe Adetoyinbo, A. A.; Bello, A. K.; Omoliki, A. J.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 2 (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.v3i2.4941

Abstract

This work is aimed at generating numerical simulations and modeling the turbulence flow pattern in pipes for water using Reynolds averaged Navier stokes equation. This is accomplished by using commercially available software called Cosmol Multiphysics in simulating and modeling the turbulence flow pattern of water in pipes at constant length but varying diameters of 0.16m, 0.15m, and 0.25m. The turbulence pattern was evaluated along the pipe by dividing the pipe into layers of 0.025m each. The turbulence pattern is found to be high in the middle of the pipe. The fluids at the boundary layer are found to have the same pattern for all the pipes.
Nigerian Agricultural Export and Economic Growth: An Empirical Analysis J, David I.; S, Mathew; U, Adehi M.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 2 (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.v3i2.4959

Abstract

As the world continues to be unpredictable, the need for diversification of a nation's exports, especially for developing countries like Nigeria, cannot be overstated. This study was designed to examine the nexus between agriculture exports and economic growth in Nigeria using secondary data from 1991 to 2020. Using the Augmented Dickey fuller test, co-integration analysis, error correction, and Granger causality analysis, the results revealed that the covariates were stationary (I) and that there is a significant long-run co-integrating relationship between agricultural exports and economic growth (p values <0.05). The results further revealed that about 86% of the variation in agriculture exports was explained by the predictor variables (economic growth). The model diagnostic check revealed that the estimates were not spurious as the errors were linear, not serially correlated, and homoscedastic (all p-values > 0.05). However, there was not enough evidence of a causal relationship between economic growth and agricultural exports, though it was found that there was causality between population growth and the unemployment rate. The study recommends, among others, that employment and security be provided for Nigerians.
Isolation and Identification of Bacteria in Soil Samples in the Sub-Saharan Region of Sokoto, Nigeria Yarima, Safina Abdullahi; Danjuma, Abdulrahim Muhammad
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 2 (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.v3i2.4969

Abstract

This study investigates the isolation and identification of bacterial species in soil samples from the Gwadabawa region of Sokoto, Nigeria, focusing on their potential roles in hydrocarbon exploration and degradation. Soil samples were collected, prepared, and analyzed using microbiological methods, including serial dilution, Gram staining, and biochemical assays. The identified bacterial species include Enterococcus faecalis, Proteus mirabilis, Bacillus pumilus, Bacillus anthracis, and Kingella kingae. Among these, Enterococcus faecalis and Proteus mirabilis were the most prevalent, accounting for 29% and 28% of the isolates, respectively. These bacteria exhibit characteristics indicating hydrocarbon-rich subsurface conditions, making them valuable for exploration efforts. Factors such as soil pH and texture influence microbial activity, favoring the growth of certain bacteria. This study highlights the potential of indigenous microbial species in hydrocarbon exploration and suggests biostimulation and bioaugmentation as strategies to optimize microbial applications in exploration and bioremediation processes.
Investigation on the Implementation of Exponential Rate Reaching Law on Parabolic Dish Antenna System Nantim, James; Mohammed, A.; Sadiq, A. A.; Nazif, D. M.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 2 (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.v3i2.4984

Abstract

Parabolic antennas are crucial in applications like satellite communication, radar systems, and radio astronomy for precise pointing and tracking capabilities. The research aims to create a reliable Exponential Rate Reaching Law-based Proportional-Integral-Derivative (ERPID) controller for a Parabolic Dish Antenna System, overcoming challenges like nonlinearities and wind disturbances. The study integrates the parabolic dish antenna model with PID and ERPID control, evaluating their performances under wind disturbances through simulations. In undisturbed conditions, the antenna system without a controller shows a slow rise time (7.5717 seconds) and extended settling time (9.8105 seconds). When a disturbance is introduced, the system becomes highly unstable with a rapid rise time (0.1047 seconds) and extreme overshoot (657%), demonstrating the need for a controller to manage disturbances​. When PID was introduced without Disturbance, the PID controller significantly improved the response. The rise time decreases to 1.4896 seconds, with a settling time of 5.2740 seconds. An overshoot of 9.63% indicates a controlled and responsive system. With Disturbance, the system maintains stability with a rise time of 1.4977 seconds, though the settling time increases slightly to 9.6556 seconds. Overshoot is kept minimal at 7.9%, showcasing the PID controller's ability to handle disturbances effectively​. Without Disturbance, the ERPID controller demonstrates a slower rise time (2.8663 seconds) than the PID, with a comparable settling time of 5.2298 seconds. Overshoot is minimized to 7.66%, indicating high stability and controlled precision. With Disturbance, the ERPID controller maintains a gradual response with a rise time of 2.9832 seconds and a settling time of 6.4649 seconds. The overshoot is further reduced to 6.04%, reflecting robustness against external factors and controlled performance under disturbance. The research revealed that the ERPID controller, despite improving system performance, is more effective for high-precision applications like satellite communication due to its enhanced stability and reduced overshoot.
Impact of Rock Phosphate Levels, Placement Methods, and Cowpea Varieties on Yield Parameters in Sokoto Sokoto, Aliyu Lawal; Yarima, Usman Abdullahi
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 2 (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.v3i2.4986

Abstract

Cowpea is a vital crop in arid and semi-arid regions of Nigeria, contributing significantly to food security. However, its yield is often limited by phosphorus deficiency. This study investigates the effects of varying rock phosphate levels, placement methods, and cowpea varieties on yield parameters in Sokoto during the 2024 cropping season. The experiment involved two cowpea varieties (Sampea-7 and Baadare), three rock phosphate levels (25, 50, and 75 kg ha−1), and three placement methods (plough-sole, broadcast, and side-band). Results showed significant responses to rock phosphate application and placement methods on grain yield, pod weight, and shelling percentage. The study highlights the importance of optimizing rock phosphate application strategies to enhance cowpea yield in phosphorus-deficient soils.
Feasibility Study on Automatic Irrigation Scheme on the Jos Plateau Using Wind Power Daniel, Samson; Aliyu, Hassan; Mamman, Buhari; Musa, Yarima Sa’id; Danladi, Muhammad Nazif
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 2 (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.v3i2.4990

Abstract

The over-dependence on rainfall agriculture is affecting crop production in Nigeria today, reducing crop yield and keeping farm output below demand. Irrigation farming is insurance for rain-fed agriculture even during the rainy season. The target site is Jos, Plateau state, with wind speed potential of 3ms-1 to 9.37ms-1 all year round, making it viable to generate power for pumping irrigation water. And also, the nature of the terrain which will enable or support the pump hydro storage technology. In this work, the focus is on the feasibility of a wind-powered pump hydro storage scheme for smart irrigation systems. This provided weekly irrigation water. The wind turbine farm can generate electric sufficient power to pump water from a lower reservoir to a higher head reservoir and also charge a batstery bank. At the time of irrigation, water is released from the higher reservoir through a series of control valves installed in the farm. The battery storage was used as a power source for the irrigation control system which uses the microcontroller to monitor and control the farm parameters using soil moisture sensors, a water level sensor for the upper reservoir, and the outlet valve. This system is expected to be fully automatic. The raw wind data collected was upgraded from 10m to a hub height of 50m to improve power generation. The wind turbine (S3-1000-B8) generates power to pump the minimum amount of water of 8.7m3 and a maximum of 176m3 per week. The power generated from the wind by this turbine was determined using polynomial regression which makes it suitable for this work. Twenty (S3-1000-B8) wind turbines were used to supply 180m3 of irrigation water required per week to irrigate 10,000m2 of farmland. For a one-month safe irrigation period, 720m3 of storage water is needed. From the wind potential, a single wind turbine can generate an average energy of 16kWh in a month and pump 234.864m3 of water. Therefore, in total the wind form will generate 336kWh and pump equivalent of 4,932m3.
On Models of Malaria with Natural Recovery K, Adamu A.; M, Bulus S.; B, Williams; D, Yavalah
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 2 (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.v3i2.5020

Abstract

This study presents a mathematical model for malaria transmission dynamics, incorporating natural recovery and public awareness/sensitization within the human population. The model evaluates the impact of sensitization alongside conventional control strategies in mitigating malaria spread. Through qualitative analysis, the basic reproduction number was determined to be less than unity, suggesting the feasibility of disease control. Additionally, stability analysis confirmed that the disease-free equilibrium is locally and asymptotically stable. Our findings indicate that, with a combination of natural recovery, public sensitization, and conventional interventions, malaria can be successfully eradicated from the population.
Feasibility Assessment of Wind Energy-Driven Automatic Irrigation System for Jos Plateau Daniel, Samson; Aliyu, Hassan; Mamman, Buhari; Musa, Yarima Sa’id; Nazif, D. M.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 2 (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.v3i2.5034

Abstract

Nigeria's over-reliance on rainfall agriculture is reducing crop yield and keeping farm output below demand, despite irrigation farming providing insurance for rain-fed agriculture even during rainy seasons. The location of study is Jos, Plateau State, where year-round wind speeds of 3 to 9.37 m/s make providing electricity for irrigation water pumping feasible, and the nature of the terrain which enables the pump hydro storage technology. This study explores the feasibility of a wind-powered pump hydro storage scheme for smart irrigation systems, generating electricity to pump water and charge a battery bank. The farm uses a battery storage for irrigation control, powered by a microcontroller. The system monitors farm parameters using soil moisture and water level sensors. Raw wind data was upgraded from 10m to 50m hub height for improved power generation. The S3-1000-B8 wind turbine produces enough energy to pump a minimum of 8.7 m3 and a maximum of 176 m3 of water every week. Polynomial regression was used to calculate the wind power produced by this turbine, making it appropriate for this task. The 180 m3 of irrigation water needed per week to irrigate 10,000 m2 of agriculture was provided by 20 (S3-1000-B8) wind turbines. 720m3 of stored water is required for a month of safe irrigation. Based on wind potential, a single wind turbine can pump 234.864m3 of water and provide an average of 16kWh of energy every month. Consequently, the wind farm produces about 336 kWh and pumps 4,932 m3 in total.
Yield and Storability of Onion (Allium cepa L.) Ecotypes as Influenced by Irrigation Intervals in Sudan Savanna of Nigeria M, Muhammad A.; Na-Allah, M. S; A, Muhammad; U, Mohammed I.; A, Musa; Adigari, J. J; J, Yusuf I.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 2 (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.v3i2.5050

Abstract

Field trials were conducted simultaneously during the 2023/2024 dry seasons at the Kebbi State University of Science and Technology, Aliero University orchard located at Aliero and The second experiment were conducted at Usmanu Danfodio University Sokoto Teaching and research Fadama farm. The area is located at Sokoto State, both locations are in Sudan Savannah agro-ecological zone of Nigeria. The aim was to study the effects of irrigation interval on yield and the storability of twelve onion ecotypes (Allium cepa L.). Treatments consisted of three irrigation intervals (3, 6 and 9 days), and twelve onion ecotypes (Ex-Dikwa, Ex-Kaffe, Ex-Bama, Ex-Alieru, Ex-Gothege, Ex-Gada, Ex-Wurno, Ex-GHM, Ex-Gaya, Ex-Borno, Ex-Lahodu, and Ex-Goronyo). Factorial combinations of irrigation intervals were allocated to the main-plots, while ecotypes were assigned to the sub-plots in a randomized completely block design, replicated three times. The size of each sub-plot was 1x2m (4m2). Result revealed that plant height, number of leaves, above ground biomass, total biomass,fresh bulb weight, cured bulb diameter and bulb diameter were higher with 3 to 6 days irrigation interval, while weight loose and weight loose in (%) were higher in 3 days irrigation interval. Higher percentage of rotted bulbs and sprouting were recorded by frequent irrigation of 3 days interval. Plant height, number of leaves especially at early growth stages, and number of leaves throughout the crop cycle were higher at 3 days irrigation, eoctypes Ex-Kaffe and Ex-Dikwa has the highest plant height and leave number at 4, 8 and 12 WAT in the both locations, also total biomass, above ground biomass, fresh bulb weight recorded the highest weight value followed by Ex-Dikwa. Similarly, 3 days irrigated ecotypes has the highest weight value followed by 6 days irrigation interval while 9 days irrigation ecotypes recorded the least weight value. Ex-Borno, Ex-Dikwa and Ex-Kaffe recorded the highest weight value after undergoing curing period in the two locations, while ExGHM, Ex-Lohodu has the least weight value. Likewise in sokoto Ex-Dikwa and Ex-Kaffe has the highest weight value. In terms of bulb diameter (cm) Ex-Dikwa recorded the highest value in Aliero while the least was recorded in Ex-Goronyo, similarly in Sokoto Ex-Dikwa, Ex-Kaffe and Ex-Borno has the highest weight values after curing while Ex-Aliero, Ex-Gothege, Ex-Gada, Ex-GHM, Ex-Lohodu and Ex-Goronyo followed. In terms of weight loose, Ex-Borno loses weight drastically for the whole of the storage period followed by Ex-Gaya and Ex-Goronyo. Equally, Ex-Wurno and Ex-Kaffe recorded less weight loose during the storage period. Based on the result of this study, 3 days irrigation scheduling proved the best for more number of leaves plant height and fresh bulb yield in the study area, ecotypes Ex-Dikwa and Ex-Kaffe could be adopted due to its potential for higher yielding, while 9 days irrigation interval is the best for post-harvest storage and Ex-Goronyo were found superior.

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