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Journal of Applied Science, Engineering, Technology, and Education
ISSN : -     EISSN : 26850591     DOI : https://doi.org/10.35877/454RI.asci1116
Journal of Applied Science, Engineering, Technology, and Education (ASCI) is an international wide scope, peer-reviewed open access journal for the publication of original papers concerned with diverse aspects of science application, technology and engineering.
Arjuna Subject : Umum - Umum
Articles 285 Documents
ARDL-Based Investigation of the Relationship between Monetary Policy and Inflation Mitigation Fatur, Hassan Ali Osman; Dawwas, Abdalla bin Mubarak; Abaker, Abdelgalal Osman Idris; Mohamed, Sami Elsir Ahmed
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4206

Abstract

This study aims to estimate the efficiency of monetary policy in reducing inflation rates in Sudan for the years 2000 - 2022. The data of the study were collected from the Central Bank of Sudan and the Central Bureau of Statistics. To estimate the relationship between the variables, the study used statistical methods and econometric tools, including co integration error correction, and the Augmented Dickey-Fuller test. According to the results, there is a cointegration connection between the variables, and the variables are first order integrated. It was concluded that the estimated model is significant, and therefore it can be used to forecast, and that inflation is inversely related to both the exchange rate and the cost of financing, while the inflation is directly related to both bank credit and the money supply. To control inflation and stabilize exchange rates, a contractionary monetary policy was recommended
Pre-Trained Transformer-Based Approach for Arabic Question Answering: A Comparative Study Jamal, Amani; Alsubhi, Kholoud
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4209

Abstract

Question answering (QA) is one of the most challenging yet widely investigated problems in Natural Language Processing (NLP). Question-answering (QA) systems try to produce answers for given questions. These answers can be generated from unstructured or structured text. Hence, QA is considered an important research area that can be used in evaluating text understanding systems. A large volume of QA studies was devoted to the English language, investigating the most advanced techniques and achieving state-of-the-art results. However, research efforts in the Arabic questionanswering progress at a considerably slower pace due to the scarcity of research efforts in Arabic QA and the lack of large benchmark datasets. Recently many pre-trained language models provided high performance in many Arabic NLP problems. In this work, we evaluate the state-of-the-art pre-trained transformers models for Arabic QA using four reading comprehension datasets which are Arabic-SQuAD), ARCD, AQAD, and TyDiQA-GoldP datasets. We fine-tuned and compared the performance of the AraBERTv2-base model, AraBERTv0.2-large model, and AraELECTRA model. In the last, we provide an analysis to understand and interpret the low-performance results obtained by some models.
Exploring Nano Simply Open Sets in Nano Topology: Applications and Insights El Sayed, M.
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4215

Abstract

In recent times, nano set theory has shown broad applications in addressing practical challenges in various domains, including engineering, social sciences, and healthcare sciences. The notion of nano topological spaces, along with associated concepts like nano near open sets, has greatly developed because of its practical usefulness. The idea of nano continuity extends the idea of continuity. Likewise, nano open sets extend the notion of open sets within topological spaces. This paper presents a new class of nano near open sets, termed "nano simply open sets" and "nano delta sets," which expands and alters the current concepts of nano open sets (and, in certain instances, nano near open sets). We introduce a novel category of nano simply open sets, explore their characteristics, and analyze their connections with other sets. Additionally, we investigate new ideas like "nano simply continuous functions” and also, we introduce new notions of continuity based on the new notions. We shall study some of their properties and we will study the relationship between the new concepts and various other nano open sets.
Analysis of the Factors Affecting the Financial Performance of Insurance Companies using Statistical Modeling Younis A., Halima; Salem, Hamdy Mohamed; Alsanea, Mahmoud Selim; Elemam, Halla Z. S.; Abaker, Abdelgalal O. I.
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4217

Abstract

The insurance industry is fundamental to the global economy, accounting for about 7% of the gross domestic product (GDP) in numerous developed nations and serving a crucial function in risk management and financial stability. Recent years have seen escalating economic pressures that have adversely affected the profitability of insurance firms. These Difficulties encompass escalating inflation rates, a surge in claims, and losses attributable to natural disasters, with swings in interest rates that have impacted investment returns and the valuation of financial portfolios. This study aims to examine the determinants influencing the financial performance of insurance businesses through precise statistical models, with a particular emphasis on return on equity (ROE) as a principal metric. The research utilized real-time data encompassing characteristics such as insurance density, interest rates, underwriting capacity, and insurance expenditures, among others. Statistical modeling was employed to ensure the degree to which these factors influence profitability. The project seeks to establish an analytical framework to improve the efficiency of underwriting and pricing decisions. It further advances academic literature by utilizing sophisticated analytical tools to understand profitability dynamics inside the insurance sector.
Robust Principal Component Analysis in Multivariate Applications Mutalib, Sharifah Sakinah Syed Abd.; Yusoff, Wan Nur Syahidah Wan; Kurniati, Angelina Prima; Osman, Nurul Aida; Zulhelmy, Zulhelmy
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3948

Abstract

Principal component analysis (PCA) is one of the multivariate methods that aims to construct components, each of which contains a maximal amount of variation from the data unexplained by the other components. Classical PCA (CPCA) is based on the classical covariance, which is easily affected by outliers. Additionally, the outliers may distort the PCA result. Robust statistics is one of the methods to overcome the outliers. Therefore, in this study, an alternative technique for robust principal component analysis (RPCA) is presented. Index Set Equality (ISE) is used as a robust estimator to robustify the CPCA and hence produce robust PCA (RPCA). The Hawkins-Bradu Kass dataset is used to illustrate the robustness of RPCA towards outliers compared to CPCA. The score plot, diagnostic plot, and performance measures are used to evaluate and illustrate the robustness of the RPCA. From the plots and performance measures, RPCA successfully identifies all outliers and is unaffected by masking and swamping effects. However, CPCA can only detect 0.2857 outliers, has 0.7143 masking effects, but does not have swamping effects. This study shows that RPCA, by using ISE as the robust estimator is a promising approach.
Exhausted Minds, Passionate Hearts: The Silent Struggle of Academic Burnout Hamzah, Fatimah Bibi; Abdul Manan, Dewi Izzwi; Mohtaram, Saifuddin; Abdullah, Nik Mazlinahaiza; Abdul Aziz, Mohd Azril
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4106

Abstract

Burnout, characterized by chronic physical, emotional, and mental exhaustion, has become an increasingly recognized issue in academia, particularly within higher education institutions where teaching, research, and administrative responsibilities often overlap. This study investigates the prevalence, causes, and impact of burnout among 729 academic staff members at Kolej Poly-Tech Mara (KPTM) Sdn. Bhd. Utilizing the Maslach Burnout Inventory (MBI) along with additional data on workload, institutional support, and individual coping strategies, the research provides an in-depth analysis of burnout within the institution. The findings identify excessive workload, administrative burdens, and inadequate support systems as the primary drivers of burnout. Additionally, the study highlights the adverse effects of burnout on both personal well-being and professional effectiveness, with many staff reporting moderate to high levels of emotional exhaustion and depersonalization. Based on these insights, the study proposes solutions such as more equitable workload distribution, enhanced wellness programs, and the establishment of a more supportive work environment. By implementing these strategies, KPTM can alleviate burnout, improve staff well-being, and enhance overall institutional performance.
Optimizing Project Management: Planning, Scheduling, and Cost Estimation Using Microsoft Project Al-Dhamad, Saja Hadi Raheem; Kurwi, Sahar Ismael Baker; Varouqa, Ibrahim Farouq; Hayder, Gasim; Obaid, Aseel H.; Al-Zwainy, Faiq M. S.
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 2 (2025)
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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4165

Abstract

Event or activity management is done with computer-based software built especially for planning and secluding, such Primavera, Microsoft Excel, and Microsoft Project. The MS project's scheduling and organization are the goals of this study. Software of this type is easier to use and more efficient than manual methods. Although this program is based on manual approaches, it is more accurate and takes less time. Scheduling should be created for this investigation. The project case study focuses on the planning and scheduling of residential construction. In this instance, a two-story, 200-square-meter residential building in Baghdad/Abi Ghraib, Iraq, was selected. A work schedule should be created in the Microsoft project from excavation to completion, alerting the crucial path. Every task and piece of material should have its resources allocated. The MS project should include a calculation of the material and labor costs. According to this study, the scheduling and Planning benefits should be clarified. This study aims to investigate and inform the appropriate planning and selection for project management using Microsoft Project. It will also inform the budget, material, time, and deadline.
A Bibliometric Analysis of Scientific Publications at Universiti Malaysia Sabah Krishnan, Anath Rau; Hamid, Rizal; Tanakinjal, Geoffrey Harvey; Bahri, Saiful; Arumugam, Nalini
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4189

Abstract

This study presents a comprehensive bibliometric analysis of scientific publications associated with Universiti Malaysia Sabah (UMS) from 1994 to 2024, tracing the university’s research progression over three decades. Using data extracted from the Scopus database, the study analyzes 9,217 publications by document type, open access (OA) status, and author keywords across three distinct decades using tools like Power Query, Microsoft Excel 365, and VOSviewer version 1.6.20. Findings reveal a steady increase in scientific publication productivity, with journal articles dominating output and OA publishing experiencing a significant surge in recent years. The keyword analysis reveals a consistent emphasis on local issues, particularly those related to Sabah and oil palm, and also reflects the university’s increasing engagement with emerging global themes such as COVID-19, machine learning, and deep learning. This study offers the first comprehensive, cross-disciplinary bibliometric analysis of UMS publications, uniquely highlighting the university’s growing engagement with open access publishing. The findings offer valuable guidance for future policy decisions, particularly in enhancing publication funding, promoting balanced growth across disciplines, and advancing open science initiatives.
Evaluating the Role of Augmented Reality in Enhancing Engagement and Learning in TVET Education: A Scoping Review Mohd Kamaruzaman, Fathiyah; Yee Peng, Chua; Omar, Marlissa
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 3 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3916

Abstract

immersive learning environments that enhance practical skills, engagement, and conceptual understanding. Despite its promise, AR adoption in TVET is still limited, often hindered by high costs, lack of infrastructure, and insufficient training for instructors. This scoping review explores how AR is being used in TVET settings, based on 17 peer-reviewed articles published between 2020 and 2024 in Scopus and Web of Science databases. Following Arksey and O’Malley’s framework and PRISMA guidelines, the review identified three main themes: the benefits of AR in simulation-based learning and student engagement; key barriers including cost and technical challenges; and the importance of digital literacy and institutional support in successful implementation. While AR shows strong potential to bridge the gap between theory and hands-on practice, more needs to be done to ensure its sustainable use. The findings offer practical insights for educators, researchers, and policymakers, stressing the need for better infrastructure, continuous professional development, and more long-term studies to fully realize AR’s role in preparing students for modern industry demands.
Organizational Agility Based on Automatic Patch Work Behavior in the Era of Environmental Uncertainty Gunawan, Ahmad; Rahim, Abdul Rahman; Andriyansah, Andriyansah; Fatimah, Fatia
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 3 (2025)
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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4192

Abstract

This study focuses on modeling organizational agility based on a synthetic construct, namely automatic patch work behavior, which is proposed, conceptualized, and confirmed by theoretical validation, empirical validation, and nomological validation. The research model involved 219 respondents from the Badan Pusat Statistik (BPS) employees in West Sulawesi Province through cluster sampling techniques accompanied by eligible control of inclusion and exclusion samples, data were obtained using an e-questionnaire in December 2024. Structural equation modeling analysis confirmed that this study was able to present theoretical contributions in the field of strategic human resource management by positioning automatic patch work behavior as a new and meaningful entity and impacting that automatic patch work behavior allows for linking work behavior to organizational agility in an era of environmental uncertainty. Practical implications were identified through the ability of automatic patch work behavior directly or through the mediation of employees' dynamic capabilities and employee agility to encourage increased organizational agility. The locus of this research was conducted in government agencies, but this research model can also be replicated in business companies, so that employee characteristics (including automatic patch work behavior) in various workplaces in their contribution to organizational sustainability (including organizational agility) can be confirmed more comprehensively and represented, and equipped with ideas and research models that are always updated.