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Journal of Applied Science, Engineering, Technology, and Education
Published by PT. Mattawang Mediatama Solution
ISSN : -     EISSN : 26850591     DOI : https://doi.org/10.35877/454RI.asci1116
Core Subject : Science, Education, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other
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 312 Documents
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Machine Learning Approach for Ibing Penca Stance Recognition Using Landmark Detection and Angle-Based Classification Ratnadewi, Ratnadewi; Agus Prijono; Aan Darmawan Hangkawidjaja; Sri Rustiyanti; Deri Al Badri
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4539

Abstract

The problem is how students can learn independently when no assistant teachers are present. The main objective of this research is to build an application system that can recognize the stances in Ibing Penca martial art. This research aims to help facilitate independent learning for martial arts practitioners, especially Ibing Penca, by developing a system that is able to recognize and classify the movements in 62 Ibing Penca stances. To achieve these goals, the research method used is to collect input data in the form of images or videos taken using an Orbbec camera. After the images are obtained, the next stage is data processing to detect important points on the body using landmark detection techniques. The next process is the identification of 33 keypoints on the body using the MediaPipe algorithm. From these keypoints, six important angles were calculated which included the right arm, left arm, right leg, left leg, right foot and left foot. This angle calculation is done using the angle method of the three relevant key points. The system is able to recognize the movements in Ibing Penca with a high degree of accuracy, which is very useful for learners who want to practice independently. The results of this study show that the system is able to classify 62 Ibing Penca moves with a success rate of 95.2% (58 moves), while the error rate is only 4.8% (4 moves). For future research, it is expected to develop this system by adding variations of movements and improving detection accuracy in more diverse environmental conditions.
Development of Bulletin-Integrated Character Education (BICE) Media to Enhance and Assess Scientific Literacy Azzajjad, Muhammad Fath; Diah, Anang Wahid M.; Afadil; Rahmawati, Sitti; Astija; Ahmar, Dewi Satria
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4594

Abstract

In higher education, scientific literacy is still a significant difficulty, especially when instruction focuses on procedural knowledge without including moral principles. The purpose of this study was to create and examine Bulletin-Integrated Character Education (BICE) as a teaching tool to improve and gauge students' scientific literacy. The requirement for educational materials that simultaneously promote character development and higher-order thinking makes this research urgent. In order to produce verified educational media, this study used a Research and Development (R&D) approach based on the Hannafin and Peck paradigm. According to expert validation, the BICE media was highly reliable (Cronbach's ? = 0.88–0.92) and valid (CVI = 0.92–0.95). Strong dependability was also shown by the scientific literacy test (? = 0.92). Students who were taught PBL–BICE fared better than those who were taught PBL alone, according to inferential analysis, with a significant effect size (d = 1.12). Conceptual literacy was a strong predictor of multidimensional literacy, according to correlation and regression analyses (r = 0.71; ? = 0.48). These results suggest that in order to foster advanced scientific literacy in higher education, character-based media should be incorporated into problem-based learning.
Risk Identification and Control in Oman’s Construction Industry: A Systematic Review and Conceptual Framework Salim, ‪Rashid; Norhisham, Shuhairy; Zakwan, Muhammad; Al-Shukaili, Azan; Al-Qassabi, Masoud
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4614

Abstract

The construction industry in Oman faces significant risks that influence cost, time, and overall project performance. Although risk management has been widely studied globally, research focusing specifically on Oman and the Middle Eastern context remains limited. This study manages this gap by conducting a systematic literature review on risk identification and control strategies in construction projects. Eligible studies were selected by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. SCOPUS and ScienceDirect were selected as the leading journal databases. A total of 33 articles were selected for further analysis through this procedure. The review synthesises findings from recent studies, highlighting critical risk identification and classification, including financial, environmental, operational, logistical, regulatory, legal, health and safety, and market risks, as well as strategies for mitigating them. Several recommendations were also suggested to provide the essential knowledge and information for future research. Based on the insights gained, a conceptual framework is proposed to guide risk control practices in Oman’s construction industry.
Digital Management System for Student Training in Educational Dental Clinics Abdulmuneem, Asmaa Shaalan; Mahmoud, Ibtehal Shakir; Mahmood, Moamar Shakir
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4406

Abstract

Studies and research in the health fields have shown that information technology has a significant impact on managing and improving the quality, safety and efficiency of health care. It reduces clinical errors. When we build and customize a database for any system, we allow access to the content and the ease of recalling, managing and updating its data when needed. The project aims to build a database system to store, organize and retrieve data from educational clinics in the College of Dentistry in Iraqi universities. System specifications and requirements were collected through discussion, scientific expertise, and discussions with dental staff at the College of Dentistry at the University of Iraq in Baghdad, Iraq. The collected data is used to build the database model and system architecture. The system was developed to provide assistance to college teaching dental clinics in managing and maintaining their database. Data were collected from 5 clinics in various specialties affiliated with the College of Dentistry from various departments in the college, and a unique asset number was allocated to each educational clinic located in the college according to the required standards and for ease of representation. The system is built in C#. SQL Server (Structural Query Language) is used to run user information. The proposed system has the ability to manage and protect a database through a login mechanism for all members working on the system.
Development of the AI-Based Edugame 'Si Robot Pintar' in Enhancing Cognitive Abilities and Character Development of Early Childhood Children in Islamic Boarding Schools Rihlah, Jauhara; Rulyansah, Afib; Hardiningrum, Andini; Savira
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4418

Abstract

This study aims to develop the Si Robot Pintar Edugame, an AI-based interactive tool designed to enhance Cognitive Abilities and Character Development in early childhood at Pondok Pesantren. The product development followed the Research and Development (R&D) model, adopting the ADDIE framework (Analysis, Design, Development, Implementation, Evaluation) to create a technology-driven, engaging learning environment that fosters both cognitive and moral growth. A quasi-experimental design was employed in this study with three groups: two experimental groups (one using the Si Robot Pintar Edugame and the other using interactive videos) and a control group (using worksheets). Pretest and posttest measures were used to assess improvements in cognitive skills and character development. The results revealed that the Si Robot Pintar Edugame had the greatest effect, with the experimental group showing a 40% increase in posttest scores, compared to a 15% improvement in the control group. The Si Robot Pintar Edugame group exhibited the largest effect size (0.890), followed by the interactive video group (0.875), and the control group (0.540), underscoring the superiority of this AI-based intervention. The Si Robot Pintar Edugame significantly enhanced children’s abilities in identifying emotions and controlling emotions, which are vital aspects of emotional regulation and self-regulation. The game was especially effective in promoting cognitive skills and fostering character traits such as self-discipline, empathy, and critical thinking, all of which align with the educational objectives of Pondok Pesantren and Islamic teachings. These findings suggest that integrating AI and interactive tools in Islamic educational settings can substantially improve Cognitive Abilities and Character Development in children. The study concludes that the Si Robot Pintar Edugame is an effective, innovative educational tool that plays a significant role in enhancing both cognitive and moral development in early childhood at Pondok Pesantren.
Digital Resilience in War-Affected Contexts: An MIS Framework for Restoring ICT Learning and Freelancing Capacity Awad, Mohammed
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4545

Abstract

ICT learning systems in war-affected regions face continuous disruption caused by damaged infrastructure, unstable connectivity, mobility restrictions, and psychological stress. These conditions interrupt digital-skills development and limit access to online freelancing opportunities. This paper proposes a Digital Resilience MIS Framework designed to restore and sustain ICT learning during active conflict. The framework is developed from two ICT training programs implemented in Gaza during the 2025 war, both of which operated throughout severe instability. Analysis of program documentation shows that learning continuity depended on five interconnected pillars: resilient infrastructure; adaptable instructional workflows; structured monitoring and information flow; human-centered psychosocial support; and coordinated organizational decision-making. When combined, these elements enabled the programs to maintain attendance, progress through technical content, and complete practical projects despite external disruptions. The framework offers a practical model for institutions seeking to preserve digital learning and freelance-readiness in fragile settings and contributes to MIS scholarship by demonstrating how resilience principles can be operationalized in active conflict environments.
The Forecasting WTI and Brent Crude Oil Prices: Evaluating the Performance of Hybrid EMD-ARMA-BILSTM Models Ke, Xue; Liang, Zhuqin; Ismail, Mohd. Tahir
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4609

Abstract

Given the critical importance of crude oil prices in the global economy, this study focuses on forecasting WTI and Brent crude oil futures prices. To incorporate both price series as independent variables in our predictive model, we employed Vector Autoregression (VAR) to analyze their interdependence. Results from impulse response analysis, variance decomposition, and Granger causality tests revealed a significant spillover effect between the two crude oil futures prices over the past 12 lagged periods. Consequently, the lagged data from the past 12 periods of both price series were utilized as independent variables for the deep learning framework. We developed a hybrid model integrating Empirical Mode Decomposition (EMD), Autoregressive Moving Average (ARMA), and Bidirectional Long Short-Term Memory (BiLSTM) to predict WTI and Brent prices. Our findings demonstrate that predictive performance improves with increased model complexity. Specifically, the hybrid model (EMD+ARMA+BiLSTM) outperforms both the EMD+BiLSTM model and the standalone BiLSTM model. For WTI, the hybrid model achieved a Mean Squared Error (MSE) of 57.77, Mean Absolute Error (MAE) of 5.66, and Mean Absolute Percentage Error (MAPE) of 8.78%. For Brent, the corresponding metrics were 62.15, 5.87, and10.40%, respectively. These results validate the robustness and rationality of our hybrid model, offering a reliable methodology for crude oil price prediction and providing valuable insights for researchers and practitioners in the energy markets.
Proposed Method for Expressing Inner Derivations of Leibniz Algebras Mohammed, Nadia Faiq
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4626

Abstract

This work is concerned with the computational perspective of a specific case of derivations, known as inner derivation mapping. In this regard, we propose an algebraic method to provide inner derivations for a finite-dimensional Leibniz algebra in matrix representation. The method is applied on four-dimensional complex Leibniz algebras obtained earlier to present comprehensive descriptions of their inner derivations. Additionally, we also exhibit the span basis of outer derivatives for these algebras.
Digital Transformation of Global English Literacy in Secondary Education Anggreni, Afrillia; Ahmar, Dewi Satria; Patmasari, Andi; Azzajjad, Muhammad Fath
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4752

Abstract

Digital transformation is increasingly influencing English literacy education in secondary schools; nonetheless, differences in technology utilisation and its effects persist among institutions. This study investigates the correlation between students' preferences and the frequency of digital learning methodologies and technology integration in the advancement of English literacy. A quantitative descriptive–correlational cross-sectional design was utilised, employing a 20-item Likert questionnaire. The population consisted of senior high school students in Palu City, Indonesia, with a sample of 469 students from five schools chosen via purposive and convenience sampling methods. The results show a very significant link between Group 1's choice for digital methods and Group 2's impact on technology integration and literacy (r = 0.872; r² ? 0.761). The total visual correlation is r = 0.918. The average perception score was M = 76.89 (SD = 9.23). These results show that basic digital skills have a big impact on literacy outcomes. This means that teachers need more training in digital skills and schools need better infrastructure to facilitate long-term changes in education.
Virtual Frontiers: A Systematic Literature Review of Factors Shaping the Metaverse Readiness in Higher Education Erianda, Aldo; Dalim, Che Samihah Che; Hidayat, Rahmat; Putra, Panca Okta Hadi
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4613

Abstract

The potential of the Metaverse to create immersive learning spaces in higher education is promising, but the implementation complexities pose an enormous challenge. There is little to no research concerning the Metaverse component readiness gap. Most of the studies that do exist are either too focused on the technological factors of the Metaverse (as in the simple extensions of VR/AR, the 3D graphical environments) or address the technological access, the user’s VR/AR attitudes, or the infrastructure in isolation, without merging the technological, organizational, and environmental dimensions of the issue into one framework. Following the guidelines of the PRISMA methodology, 32 documents, which were indexed in Scopus, were systematically identified, and thematic analysis was conducted to elaborate the factors influencing the readiness for the implementation of the Metaverse. The literature synthesis yielded ten themes or factor clusters influencing Metaverse readiness in higher education: Immersive Learning Experience (ILE), System & Service Quality (SQ), Perceived Performance Value (PPV), Ease, Simplicity & Learnability (ESL), Risk, Security & Concerns (RSC), Personal Readiness (PR), Affective & Motivational Factors (AMF), Pedagogical & Knowledge Competence (PKC), Social Influence & Norms (SIN), and Institutional Support & Facilitating Conditions (ISFC). These findings contribute to the body of relevant literature and useful frameworks to assess metaverse readiness in higher education.

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