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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 303 Documents
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Machine Learning Approach for Ibing Penca Stance Recognition Using Landmark Detection and Angle-Based Classification 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

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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 Muhammad Fath Azzajjad; Anang Wahid M. Diah; Afadil; Sitti Rahmawati; Astija; Dewi Satria Ahmar
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

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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 ‪Rashid Salim
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

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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.

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