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Dahlan Abdullah
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International Journal of Engineering, Science and Information Technology
Published by Universitas Malikussaleh
ISSN : -     EISSN : 27752674     DOI : -
Core Subject : Science, Education, Social, Engineering,
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation
The journal covers all aspects of applied engineering, applied Science and information technology, that is: Engineering: Energy Mechanical Engineering Computing and Artificial Intelligence Applied Biosciences and Bioengineering Environmental and Sustainable Science and Technology Quantum Science and Technology Applied Physics Earth Sciences and Geography Civil Engineering Electrical, Electronics and Communications Engineering Robotics and Automation Marine Engineering Aerospace Science and Engineering Architecture Chemical & Process Structural, Geological & Mining Engineering Industrial Mechanical & Materials Science: Bioscience & Biotechnology Chemistry Food Technology Applied Biosciences and Bioengineering Environmental Health Science Mathematics Statistics Applied Physics Biology Pharmaceutical Science Information Technology: Artificial Intelligence Computer Science Computer Network Data Mining Web Language Programming E-Learning & Multimedia Information System Internet & Mobile Computing Database Data Warehouse Big Data Machine Learning Operating System Algorithm Computer Architecture Computer Security Embedded system Coud Computing Internet of Thing Robotics Computer Hardware Information System Geographical Information System Virtual Reality, Augmented Reality Multimedia Computer Vision Computer Graphics Pattern & Speech Recognition Image processing ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT in education
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 555 Documents
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An Effective Approach for Musical Theatre Curriculum in Pedagogical Innovation Li, Jialin; Kim, Hyuntai
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1083

Abstract

Musical theatre education necessitates a flexible and well-structured curriculum that combines creative instruction, theoretical knowledge, and current pedagogical practices. However, many existing curricula continue to face challenges, such as limited resource allocation, a lack of adaptive learning strategies, and insufficient opportunities for personalized learning paths. These gaps often lead to poor student performance, low engagement, and unsatisfactory feedback from instructors. To address these issues, this study introduces the Musical Theatre Curriculum Planning Algorithm (MTCPA). This curriculum optimization framework combines adaptive learning with a project-based approach, leveraging traditional, digital, and experiential learning sources. The MTCPA was evaluated using a dataset of 200 students that incorporated blended learning methods, gamification elements, and AI-assisted feedback mechanisms. The instructional materials were divided into three main categories: acting, singing, and dancing. The framework's effectiveness was measured using key indicators, including student performance outcomes, engagement levels, and instructor evaluations. The results show significant improvements: student performance scores increased by 27%, engagement levels increased by 35%, resource utilization increased by 40%, and teacher satisfaction with the curriculum design increased by 30%. The proposed algorithm not only improves classroom performance but also enhances long-term skill retention through practical application, promoting early career readiness in the competitive fields of musical theatre and the performing arts. Furthermore, the data-driven, adaptive nature of MTCPA enables a structured yet innovative approach to curriculum planning, leading to more effective decision-making and pedagogical creativity. To summarize, the MTCPA represents a significant step forward in musical theatre education, demonstrating how incorporating adaptive, personalized, and technology-supported learning can result in measurable improvements in student success, engagement, and curriculum efficiency. By combining traditional methods with modern innovations, MTCPA helps to reshape musical theatre pedagogy, ensuring that students are better prepared to face both academic and professional challenges in the performing arts.
Influence of Online Transportation on Mandatory and Maintenance Activities in Banda Aceh Novriza, Ferdiansyah; Agusmaniza, Roni; Firnanda, Ary; Zarita, Santi Septiana; Yusra, Cut Liliiza
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1482

Abstract

Online transportation has experienced significant growth and has become a vital element in the daily activities in Banda Aceh. Services such as Maxim, Grab, Kururio, Mr. Delivery, Sidoom, and Umma offer convenient access to transportation, goods delivery, and food services, illustrating the growing integration of digital technology into daily urban mobility and lifestyle patterns. In the context of fast-paced urban life, these platforms significantly influence the mobility patterns of the community, both in mandatory activities (such as working and studying) and maintenance activities (such as shopping, picking up children from school, and others). This study highlights the significance of examining how online transportation influences community life. It aims to assess its social, economic, and environmental impacts, identify key determinants of user preferences, and evaluate its overall contribution to improving quality of life within the evolving dynamics of urban mobility. This study employed a mixed-methods approach by integrating quantitative and qualitative techniques, with surveys serving as the primary instrument for data collection. The results indicate that the use of online transportation is influenced by factors such as income, travel time, age, gender, and household size. In terms of service preferences, Food and goods delivery dominates usage (42.9%), followed by motorcycle ride-hailing (38.1%) and cars (19%). These findings underscore the increasing significance of online transportation services in meeting daily needs and enhancing urban mobility, particularly in the areas of goods and food delivery. The results also indicate that public perceptions of the environmental impacts of online transportation remain balanced. While respondents value the improved accessibility and convenience offered by online transit, they are aware of its negative externalities, particularly its role in exacerbating traffic congestion and air pollution.
Integration of Artificial Intelligence in Academic Research: To What Extent Do Students' Knowledge, Understanding, and Use Depend on Technology? Iriani, Tuti; Azisah, Nur; Luthfiana, Yusrina; Nugroho, Bimo
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1515

Abstract

The development of artificial intelligence (AI) technology has had a significant impact on higher education. This study aims to assess the level of knowledge, understanding, and use of AI among students in the context of final project preparation. This study uses a quantitative descriptive approach to measure three main dimensions—knowledge, understanding, and practical use (application) in the context of academic research. The population in this study consisted of 172 students from the Faculty of Engineering, Universitas Negeri Jakarta, who were conducting academic research. The sampling technique employed was non-probability sampling, utilizing a purposive sampling approach. Data analysis used exploratory factor analysis (EFA). The results showed that students have excellent knowledge of AI. Meanwhile, the understanding of AI shows varying levels, with the majority falling into the sufficient and low categories, indicating a need to improve AI literacy. The use of AI by students is primarily focused on aspects of writing, research, and document creation, with a reasonably consistent usage pattern and an average duration of 1-2 hours per session. These findings confirm that students actively utilize various AI in the academic process, but still require training and supervision to ensure that AI use can be carried out ethically and responsibly. The results of this study are important as a basis for developing institutional policies and ethical regulations related to the integration of AI into academic processes, as well as a reference for designing effective training programs to improve students' competency in optimally utilizing AI technology.
Predicting Burnout in Start-Up Environments: A Multivariate Risk Scoring Approach for Early Managerial Intervention Sutrisno, Nos; Elveny, Maricha; Lubis, Andre Hasudungan; Syah, Rahmad; Hartono, Hartono; Krisdayanti, Sabina
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1663

Abstract

Start-up organisations operate under fast timelines, lean staffing, and constantly shifting priorities, exposing employees to chronic workload pressure and emotional strain. Unmanaged burnout in these settings threatens individual well-being, talent retention, and long-term execution capacity. This study proposes a multivariate burnout risk scoring approach that aims to identify and prioritise employees at elevated risk before full deterioration occurs, enabling early managerial intervention rather than reactive recovery. The proposed pipeline integrates principal component analysis (PCA), Random Forest, and Support Vector Machine (SVM). PCA is first applied to reduce redundancy across workplace indicators, yielding five principal components (PC1–PC5) that together explain 88% of the total variance in self-reported stress level, job satisfaction, emotional exhaustion, work-life balance, performance, and social interaction. These components are then used as predictors in two supervised classification models, Random Forest and SVM, to estimate the likelihood that each employee belongs to a high-burnout-risk class. The Random Forest model achieved an accuracy of 88%, and the SVM model achieved an accuracy of 86%, demonstrating strong predictive capability in distinguishing higher-risk employees from lower-risk employees. The resulting predicted probability is interpreted as an individualised burnout risk score, which can be mapped to action categories such as workload redistribution, role clarification, targeted supervisory check-ins, or temporary protection from critical-path tasks. In this way, the framework operationalises burnout prediction not only as a detection task but also as an actionable decision-support signal for leaders. The study therefore offers both a quantitative method for forecasting burnout in start-up environments and a practical structure for translating prediction into preventive intervention.
Determinant Factors Influencing Entrepreneurial Interest among Vocational School Students in Electronics Engineering Hartati, Hartati; Supriyadi, Edy; Setiawan, Dedi; Hamid, Mustofa Abi; Nurtanto, Muhammad; Hakiki, Muhammad
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1504

Abstract

This research investigates the various factors that affect entrepreneurial interest among vocational secondary school students enrolled in the electronics engineering program in Yogyakarta, Indonesia. The study identifies entrepreneurship as a crucial mechanism for fostering innovation, self-employment, and enhancing national competitiveness. It examines five primary determinants: self-efficacy, family support, entrepreneurial attitude, entrepreneurship education, and social and institutional support. A quantitative ex post facto methodology was utilized, involving 104 respondents chosen through proportional random sampling from three vocational institutions.  Data collection employed a validated four-point Likert scale questionnaire, with analysis conducted via simple and multiple linear regression techniques utilizing SPSS. The findings indicate that all five variables have significant and positive impacts on students' entrepreneurial interest, both independently and in combination. Entrepreneurship education and social–institutional support exhibit the most significant impact, underscoring the critical role of practical learning, mentorship, and supportive ecosystems in shaping entrepreneurial trajectories.  Self-efficacy and family support enhance motivation and confidence, while positive entrepreneurial attitudes promote perseverance and proactive engagement in opportunity recognition. These factors account for nearly half of the variance in entrepreneurial interest, thereby affirming the significance of the Theory of Planned Behavior and Social Cognitive Theory within vocational contexts. This study empirically enhances the discourse on entrepreneurship in technical and vocational education by highlighting the combined influence of psychological, familial, educational, and structural supports on the development of entrepreneurial intentions. Policy implications indicate that promoting entrepreneurship necessitates the alignment of curricular design, family involvement, and institutional policies to enhance entrepreneurial ecosystems within vocational education. Vocational schools can enhance student empowerment by fostering self-efficacy and offering accessible institutional resources, enabling the translation of entrepreneurial aspirations into sustainable ventures.

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