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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 17 Documents
Search results for , issue "Vol. 7 No. 2 (2025)" : 17 Documents clear
Perceptions of Students in Relevance of Management Course in Engineering Disciplines: A Higher Education-Implications for a 21st-Century Curriculum Lastimado Jr, Alberto E.
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.asci4032

Abstract

This study addresses the critical need to understand how engineering students perceive the relevance of engineering management education in preparing them for these multifaceted roles. Specifically, this research evaluates the perspectives of undergraduate engineering students in the Philippines regarding the significance of engineering management in their respective disciplines, its role in skill development, and the challenges encountered. A mixed-methods approach was employed, gathering data from 396 undergraduate engineering students through surveys, brief written responses, and interviews. Findings indicate that a significant majority of students hold favorable impressions, with 86.8% believing the knowledge gained will be valuable and 84.5% affirming that the course develops essential analytical and critical thinking skills. Students generally recognize the importance of engineering management in fostering fundamental abilities crucial for their future careers. However, a notable challenge is the perceived workload, with 52.7% of students finding management-related coursework demanding. The research illustrates the importance of integrating well-designed engineering management education within engineering curricula. The findings highlight the importance of equipping future engineers with the managerial expertise and soft skills the complexities of the 21st-century workforce and inform strategies for curriculum enhancement.
Artificial Intelligence in Educational Measurement: A Bibliometric Review (1997 to 2024) Othman, Nursohana; Mohd. Matore, Mohd Effendi Ewan; Yunus, Farahiyah Wan
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.asci4126

Abstract

Artificial Intelligence (AI) is increasingly influencing measurement practices across fields such as health sciences, diagnostics, and psychology by enhancing accuracy, efficiency, and personalization. In the educational domain, however, the application of AI in assessment remains relatively underdeveloped, despite its significant potential to support adaptive systems and individualized feedback. This bibliometric review analyzes 921 peer-reviewed articles published between 1997 and 2024 to examine how AI contributes to the evolution of educational measurement. Through citation, co-citation, and keyword co-occurrence analyses, the study identifies influential publications, maps the intellectual structure of the field, and explores emerging thematic directions. Results indicate a substantial growth in research output after 2019, driven by advances in machine learning, natural language processing, and big data analytics. Foundational contributions from health and computer sciences, such as deep learning methods and open-source tools like Scikit-learn, have significantly influenced educational technologies. Three core themes are identified: the technical foundations of AI, cross-disciplinary applications in cognitive and medical diagnostics, and ethical and policy challenges related to AI implementation in education. Global collaboration is prominent, with leading contributions from the United States and China and increasing participation from Malaysia, Pakistan, and Nigeria. The review highlights the interdisciplinary nature of AI in educational measurement and calls for responsible, scalable applications to support inclusive and personalized learning environments
IoT-Based Real-Time Monitoring and Thermal Performance Evaluation of A Box-Type Solar Cooker Panigrahi, Badri N.; Mahanta, Satyam S.; Nayak, Jayashree; Sahoo, Sudhansu S.; Choudhury, Balaji K.
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.asci4129

Abstract

This work presents the development and evaluation of an IoT-based real-time monitoring system integrated with a box-type solar cooker to assess its thermal performance. The system incorporates an ESP8266 microcontroller interfaced with a DHT11 sensor for ambient temperature and humidity, a DS18B20 sensor for absorber plate temperature, and a MAX6675 with a K-type thermocouple for vessel (water) temperature measurement. All of the sensor data is transmitted to the ThingSpeak cloud platform, enabling real-time visualization and remote analysis. Thermal performance indicators were derived from the recorded data, including the first figure of merit (F₁), second figure of merit (F₂), thermal efficiency (η), and the overall heat loss coefficient (UL). Under clear-sky conditions, the cooker reached a stagnation temperature of approximately 130°C, with ambient conditions near 35°C and solar irradiance around 850 W/m². The calculated F1 (~0.11 °C•m²/W), F2 (~0.41), average thermal efficiency (~30 %), and average heat loss factor (~4.8 W/m²•°C) signify a reasonably efficient solar cooker design. Additionally, real-time insights into heat retention and loss were made possible through continuous monitoring. The integration of IoT with the solar cooker not only improves data acquisition and performance evaluation but also demonstrates the viability of smart sustainable cooking technologies in modern applications. It allows for easy and better evaluation of the cooker by the general user
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)
Publisher : PT Mattawang Mediatama Solution

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.

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