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All Journal Journal of Applied Science, Engineering, Technology, and Education EduLine: Journal of Education and Learning Innovation Daengku: Journal of Humanities and Social Sciences Innovation
Rachman, Izmirta
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Other

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Student Perceptions: The Use of Artificial Intelligence in Online Assignments at Affordable Universities in Jakarta, Indonesia. Rachman, Izmirta; Donald, Eriklex
EduLine: Journal of Education and Learning Innovation Vol. 5 No. 1 (2025)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.eduline3728

Abstract

Artificial Intelligence (AI) has become necessary for students to complete online assignments, which threatens the creativity and originality of student thinking. This study explores the background, frequency, and strategies of AI usage from the perspective of management study program students at affordable universities. The qualitative results show that all students use AI with very high frequency. Students consider using AI for (1) practicality, (2) speed, (3) accuracy, and (4) information sources. Students have become wise and intelligent in using AI and hope for the legitimacy of AI as an assistive tool. Students do not feel guilty about using AI as long as they do not engage in full plagiarism and cite other information sources beyond AI. The formation of a new paradigm or sub-paradigm is highly recommended, where AI is encouraged as a reference source and the learner as a quote. Further research development is suggested to use quantitative methods to examine the relationship between practicality, speed, accuracy, and information source on students' assignment outcomes using AI. It is also highly recommended to conduct further research on whether AI can be considered an official citation source and to make AI an official assistive tool for students at affordable universities.
Sustainable Competitive Advantage in Indonesia’s Bioethanol Industry: Key Variables and Ecosystem Model Rachman, Izmirta
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.asci3784

Abstract

The target for bioethanol fuel-grade blending in Indonesia has yet to be achieved, indicating significant barriers to the development of a sustainable industry. This study aims to identify key variables and develop an ecosystem model that supports Sustainable Competitive Advantage (SCA) in the Fuel-Grade Bioethanol Industry (FGBI) in Indonesia. Adopting the Resource-Based View (RBV) and Institutional Theory (IT) approaches, this study analyzes the interaction between internal and external factors influencing industry sustainability. Utilizing an exploratory inductive qualitative method covering the period 2006 to 2024, the research identifies three key RBV variables: (1) demand, (2) raw materials, and (3) technology as well as three coercive IT variables: (1) price formulation, (2) trade structure, and (3) tariffs and incentives as critical elements in achieving SCA. The findings indicate that coercive IT alone is ineffective in achieving SCA without integration with RBV. As both an academic and practical contribution, this study proposes a sustainable ecosystem model for FGBI in Indonesia. Further quantitative testing is needed to examine inter-element dynamics and evaluate the model’s long-term effectiveness. The implications for stakeholders highlight the importance of integrating policy with RBV principles to ensure the sustainability of the industry.
Cognitive and Behavioral Adaptation Strategies in Learning Financial Derivatives: A Qualitative Study on Undergraduate Students Rachman, Izmirta
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 5 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku3892

Abstract

Financial derivatives constitute a challenging course for undergraduate students due to the complexity of the underlying concepts and calculations. This study explores students’ cognitive and behavioral adaptation strategies in learning financial derivatives, employing financial literacy theory, cognitive and behavioral learning theories, and risk management theory as analytical frameworks. A qualitative approach was adopted, involving in-depth interviews with 21 seventh-semester students from a private university in Jakarta, selected through purposive sampling. The data were analyzed thematically and supplemented with quantitative counts of adaptation strategy frequency. The findings indicate that students struggle to comprehend technical terminology and apply derivative concepts, challenges that are further exacerbated by a lack of contextual learning. The most common adaptation strategies include case-based learning, self-directed study, group discussions, and the use of technology such as artificial intelligence and social media. The study highlights the need for more interactive, simulation-based teaching methods and expanded access to digital learning resources.
Co-Authors Donald, Eriklex