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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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A Comparative Study of the Prediction of Voltage Collapse in Power System Network Lilian, Ugonna Ijeoma
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.v3i1.4276

Abstract

Instability of the power system voltage often results in voltage loss and /or the system collapse, which is a problem for operators and users of power networks. This work presents a stability index suitable for examining the Power System Networks (PSNs) voltage condition. The measure, known as the ABCD Line Stability Index (ABCD_LSI), is derived from a transmission line’s two port network and ABCD parameters using the π-model. It is therefore necessary to treat the equation of the transmission line in the form of complex power and voltage. The goal of the ABCD_LSI index was to predict the voltage collapse of a power system network and also to identify the weakest, associated critical bus lines with respect to a bus for the optimal placement of compensation devices and to investigate the effect of increasing reactive power loading on the PSN. The developed index is then compared to the existing Lmn and Fmn line stability index and was tested on the IEEE 14-bus system using a program coded in the MATLAB environment. The three indices were then simulated for the base case and the contingency- variation of the reactive loads in the network. For the base case, the IEEE 14-bus test system was stable with all the three indices approximately s<1 for all the lines, but it was observed that the new developed index (ABCD_LSI), did not give exact values of the other two indices Lmn and FVSI since the other indices did not consider the length variation of the transmission line in its formulation of their stability index. And this makes the ABCD_LSI more feasible than the other indices even though the other two existing indices could also determine the Voltage stability index of a line.
A Review on Sick Building Syndrome (SBS) Bello, Yusuf Samaila
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.v3i1.4280

Abstract

Sick building syndrome (SBS) constitutes a group of symptoms that occur in a building affecting occupants, but disappear mostly after leaving the building. Sometimes biological aspects cause SBS, sometimes the chemicals present in your building, but human biological systems are affected. This paper reveal a review of SBS, including symptoms, causes, effects, work-related illnesses, prevention, and control. Sick Building Syndrome (SBS) is a medical condition where people experience unexplained symptoms of illness or discomfort while occupying a building. The severity of these symptoms tends to worsen with prolonged stay in the building, but improves or disappears once they leave. SBS can have significant consequences, including: Impaired work or school performance, strained personal relationships, Reduced attendance, Decreased productivity. SBS can occur in various settings, such as: Offices, Homes, Schools, Nurseries. Common symptoms of SBS include: Eye problems (irritation, watering, dryness), Respiratory issues (runny or blocked nose, sore throat), Skin problems (itching, dryness), Headaches, Fatigue, Lethargy, Poor concentration. Overall, SBS can have a significant impact on an individual's quality of life and productivity, making it essential to identify and address the underlying causes of the condition.
Analysis of the Clean Water Distribution Scheme in Tamangil Nuhuten Village, Kei Besar Selatan Sub-District of Southeast Maluku Regency, Using EPANET 2.2 Rumihin, Paschal; Patriadi, Andi; Sajiyo, Sajiyo
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.v3i1.4513

Abstract

The availability of clean water is a very basic need to support the lives of village communities. Tamangil Nuhuten Village, located in the South Kei Besar area, Southeast Maluku, faces various challenges in the supply and distribution of clean water. This study aims to analyze the clean water distribution scheme in Tamangil Village, Southeast Nuhuten. The results of the study show that the distribution of clean water in Tamangil Nuhuten Village still faces various challenges, especially in terms of accessibility, infrastructure, and meeting the needs of the community. Of the three main springs that are sources of clean water, only Spring A has the highest discharge of 10 liters/second with the closest distance of 1.5 km from settlements. However, only 20% of households have direct access to simple water pipelines, while the other 80% have to transport water manually, with a daily fulfillment rate of only 35%. This condition causes most people, especially those who live far from water sources, to spend more than two hours per day just to get clean water. This inequality of access has an impact on people's quality of life, including an increased risk of waterborne diseases. Data shows a 15% increase in diarrhoea cases during the dry season due to the use of water from unprotected sources. In addition, the time spent transporting water reduces people's productivity in economic activities and children's education. Limited distribution infrastructure and low community participation in clean water management are the main obstacles in creating an efficient distribution scheme.
The Effect of Consumption Values on Continued Usage Intention Moderated by Gender on the Go-Food Application in Padang City Ananda, Gunawan; Patrisia, Dina
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.v3i1.4514

Abstract

This study examines the factors that influence the intention to continue using the Go-Food application in Padang City, focusing on the role of functional value, social value, emotional value, conditional value, epistemic value and gender as moderation. This study aims to determine the effect of consumption values on continued usage intentions, and test the moderating role of gender in the relationship. The sample used was 320 respondents. The data were processed using SmartPLS and collected through an online questionnaire. The results showed that (1) Functional Value has a positive and significant effect on Continued Usage Intention in Go-Food users. (2) Social Value has no significant effect on Continued Usage Intention in Go-Food users. (3) Emotional Value has a positive and significant effect on Continued Usage Intention in Go-Food users. (4) Conditional Value has a positive and significant effect on Continued Usage Intention in Go-Food users. (5) Epistemic Value has a positive and significant effect on Continued Usage Intention in Go-Food users, and gender moderates the influence of several value variables (Functional Value, Emotional Value, Conditional Value, and Epistemic Value) on Continued Usage Intention at Go-Food, but does not moderate the influence of Social Value. Gender tends to strengthen the influence of emotional and epistemic aspects on women, while functional and conditional values have more influence on men.
An Experimental Investigation of the Travel and Tourism Sector in Nepal: The Effects of Social Networking Management on Hospitality Industries Karna, Santosh Kumar; Singh, Kabindra Raj
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.v3i1.4527

Abstract

The purpose of this study is to look into, analyze, and evaluate the social media marketing strategies employed by the travel and tourism sector in Nepal. The study looks at the current state of social media advertisement in Nepal in relation to travel middlemen and focuses on the main areas: (a) social media use in travel middleman business; (b) social media's impact on prospects and how they respond to social media sites (SMSs). Using a mixed study strategy, the paper combined the initial inquiries with additional information from searches from the former's SMSs. The intermediates, or principal travel-tourism industry hub of Nepal, were selected through an easy sampling method. According to the report, travel professionals are using social media more frequently to communicate with clients about prices and products—information that consumers are particularly interested in and responsive to. The most popular social media platforms among middlemen and consumers were Facebook by itself and Facebook in conjunction with other platforms, and SMSs had a significant impact on the majority of customers' purchases of mixed-category travel products. The most important thing that SMSs give consumers is helping them remember the product details, reviews, and recommendations they were looking for. Travel managers may find the insights helpful in bolstering their social media advertisements.
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.
Dynamic Models of the Infection of Lassa Fever Epidemics Incorporating Detected and Undetected Class Idi, Hamisu; Lasisi, Kazeem E.; Abdulhameed, M.; Kwami, A. M.; Muhammad, Muhammad Mubarak
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.v3i1.4841

Abstract

In the scope of this research endeavor, we embarked on the development of a dynamic model, intricately designed to scrutinize the intricate dynamics of Lassa fever transmission, encompassing both detected and undetected cases. Our central objective revolved around the meticulous examination of how a vaccine could exert its influence on the transmission dynamics of Lassa disease. The study encompassed an exhaustive exploration of the model's equilibrium states, diligently scrutinizing both disease-free and endemic equilibria. To shed light on the potential for disease spread, we calculated the pivotal epidemiological parameter, the basic reproduction number, employing the rigorous next-generation matrix methodology. Subsequently, we delved into a comprehensive stability analysis, encompassing both local and global stability assessments. The Routh-Hurwitz conditions were harnessed for local stability analysis, while the Castillo-Chavez criterion was leveraged for global stability analysis. In our quest for a profound understanding, we ventured into analytical techniques to derive exact solutions for the model, coupled with numerical computations facilitated by the versatile MATHEMATICA software. The culmination of our endeavors unveiled a compelling insight: the disease-free equilibrium attains local asymptotic stability if and only if the basic reproduction number assumes a value below unity; conversely, it stands as unstable when this threshold is exceeded. In essence, this implies that the complete eradication of Lassa fever is within reach when the secondary infection rate remains constrained below a critical threshold.
Impact Assessment of Invasive Alien Plant Species on Chimdi (Barju) Lake of Eastern Nepal Das, Bishnu Dev; Sharma, Upasana
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.v3i2.4896

Abstract

The present study has been carried out to evaluate the impact assessment of invasive alien plant species on Chimdi Lake using focus group discussion method. Chimdi (Barju) Lake is an important wetland in Eastern Nepal, faces ecological challenges due to the rapid spread of invasive alien plant species. Assessing the impact of these species is essential to understand their effects on the lake's biodiversity and ecosystem services and to develop effective management strategies for the conservation of the lake. The lake was found to be dominated by two aquatic IAPS, Pontederia crassipes followed by Ipomoea carnea. Additionally, eight other terrestrial IAPS (Ageretina adenophora, Chromolaena adorata, Lantana camara, Mikania micrantha, Mimosa pudica, Senna occidentalis., Senna tora, and Xanthium strumarium) were also recorded from the lake. Apart from these, there were several more macrophytes and hydrophytes, such as Nelumbo nucifera, Nymphaea alba, Ipomoea aquatica, etc., which created a thick layer of peat over lake water. These IAPS characteristics encourage growth and cover in water bodies, which block sunlight, change the chemistry of the water, and also reduce the habitat quality of native water animals and plants.
The Impact of Machine Learning on Fraud Detection in Digital Payment Akinnagbe, Olayiwola Blessing; Akintayo, Taiwo Abdulahi
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.v3i2.4900

Abstract

The rapid adoption of digital payment systems has revolutionized financial transactions, but it has also introduced significant challenges in combating fraud. Traditional rule-based fraud detection methods are increasingly inadequate against sophisticated and evolving fraud schemes. This research explores the transformative impact of machine learning (ML) on fraud detection in digital payments. By leveraging advanced ML techniques such as supervised learning, unsupervised learning, and deep learning, financial institutions and payment platforms can analyze vast amounts of transaction data in real-time, identify complex patterns, and adapt to emerging threats. Case studies from industry leaders like PayPal, Stripe, and Mastercard demonstrate the effectiveness of ML in reducing false positives, improving detection accuracy, and enhancing scalability. However, challenges such as data quality, model interpretability, and adversarial attacks remain critical concerns. This study highlights the benefits, limitations, and future trends of ML in fraud detection, emphasizing its potential to create a more secure and resilient digital payment ecosystem. As fraudsters continue to innovate, the integration of machine learning with emerging technologies like explainable AI (XAI) and blockchain promises to further strengthen fraud prevention efforts, ensuring the safety and trust of digital payment systems worldwide.
Load Frequency Control (LFC) Strategy for an Isolated Microgrid Integrated with Electric Vehicles Visa, S. B.; Chun, A.D.; Charles, I. H.; Hassan, Rufai; Gasin, S. C.
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.v3i2.4921

Abstract

The growing demand for efficient and sustainable energy solutions has driven the widespread adoption of Distributed Energy Resources (DERs) and microgrids. However, the intermittent nature of DERs and the low inertia of isolated microgrids present significant challenges for Load Frequency Control (LFC). Primary frequency control alone often fails to maintain system frequency within acceptable limits. To address this issue, this research proposes an LFC strategy for a hybrid standalone microgrid (SMG) leveraging electric vehicles (EVs). The approach incorporates a Proportional-Integral-Derivative (PID) controller in the SMG design model. The objective function is formulated using the Integral of Time-Weighted Absolute Error (ITAE), and the Particle Swarm Optimization (PSO) algorithm is employed to optimize the PID gain parameters. Furthermore, Flywheel Energy Storage System (FESS) and Battery Energy Storage System (BESS) components are integrated with the PID controller's output to enhance LFC performance. The system capitalizes on the high-energy density and bidirectional charging/discharging capabilities of EVs to effectively regulate frequency variations. The effectiveness of the proposed method is validated through three simulation scenarios. In Scenario 1, the proposed technique achieves a 61.82% improvement in frequency deviation and a 40% reduction in settling time. Scenario 2 shows further enhancement, with improvements of 78.26% in frequency deviation and 61.54% in settling time. The simulation results consistently demonstrate that the proposed technique outperforms existing methods across all scenarios in terms of frequency deviation and settling time improvements.

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