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Princes, Elfindah
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Journal : Journal of Mutidisciplinary Issues

 1 
Executive Summary (Volume 1, Issue 1, May 2021) Princes, Elfindah
Journal of Multidisciplinary Issues Vol 1 No 1 (2021): Journal of Multidisciplinary Issues
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.134 KB) | DOI: 10.53748/jmis.v1i1.9

Abstract

Journal of Multidiscplinary Issues (Volume 1, Issue 1, May 2021)
Enterprise Resource Planning (ERP) Evaluation and Implementation: A Case Study Yosevine, Prisca; Oetama, Raymond Sunardi; Setiawan, Johan; Princes, Elfindah
Journal of Multidisciplinary Issues Vol 1 No 1 (2021): Journal of Multidisciplinary Issues
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (464.883 KB) | DOI: 10.53748/jmis.v1i1.10

Abstract

Objective – To understand the success rate of ERP in the company by using the Ifinedo method and provide proposals that can improve ERP implementation in the company based on the unfulfilled Ifinedo method. Methodology – This research uses Quantitative method research distributed to 50 end users at Indoporcelain using surveys and interviews. Findings – The research found one point that is less valued in the company, namely vision and mission factors in organizational variables compared to other factors. Therefore, proposals in this sector are indispensable in order to increase the success of ERP implementation in the company. Furthermore, lack of IT support due to the management’s ignorance has made the ERP implementation did not reach the optimum performance expected. Novelty – By measuring the success rate of ERP in the company, the company can know how the success rate of ERP implementation in its company. The company can make corrections and quality improvements to existing ERP systems based on proposals with unmet Ifinedo method.
Executive Summary Princes, Elfindah
Journal of Multidisciplinary Issues Vol 4 No 1 (2024): Journal of Multidisciplinary Issues (JMIS)
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53748/jmis.v4i1.64

Abstract

As the Chief Editor of the Journal of Multidisciplinary Issues, I am honored to present this special edition that explores the profound impacts of emerging technologies, particularly artificial intelligence (AI), on various aspects of society, education, and consumer behavior. This issue features a diverse collection of research papers that provide critical insights into the challenges and opportunities presented by AI and digital platforms. In "Impact of AI-Generated Content on AI Technology: Exploring Model Collapse and Its Implications," Elfindah Princes investigates the phenomenon of "model collapse" within Generative Adversarial Networks (GANs) when trained using AI-generated content. The study introduces new concepts such as "Model Autography Disorder" (MAD) and "Habsburg AI," shedding light on the risks of AI self-consumption and its broader implications for AI-driven systems. The research underscores the necessity for stricter guidelines on using AI-generated content in training models to prevent quality degradation and ensure the sustainability of AI systems​ Elfindah Princes also contributes to this edition with her research on "The Impact of Online Platforms on Generation Z's Learning Styles and Educational Outcomes." This study examines the relationship between material comprehension and satisfaction among Generation Z learners using online platforms. The findings reveal that higher levels of material comprehension lead to greater satisfaction, emphasizing the importance of motivation in enhancing both comprehension and satisfaction. The study highlights the need for educators to focus on designing online learning experiences that foster active engagement and critical thinking​ In another significant contribution, Elfindah Princes and Suppanunta Romprasert explore the challenges posed by AI-generated content in "Navigating the Challenges of AI-Generated Content: Examining Public Trust, Accuracy, and Ethical Implications." The study reveals a nuanced relationship between AI usage and public trust, noting that while AI can influence trust, its impact is currently limited by issues such as model collapse and the accuracy of AI-generated information. The research calls for stronger human oversight, transparency, and ethical guidelines to enhance the reliability of AI content and restore public trust in online information​ Collectively, the studies in this edition highlight the critical need for a balanced approach to integrating AI and digital technologies into various sectors. They underscore the importance of maintaining ethical standards, enhancing transparency, and ensuring human oversight to mitigate potential risks and maximize the benefits of these technologies. As AI continues to evolve, these insights will be invaluable for guiding its responsible and sustainable development.
Exploring Gen-Z Learning Preferences: A Comparative Study of Traditional, Online, and Blended Learning Models Princes, Elfindah; Soeryanto, Novianti; Romprasert, Suppanunta
Journal of Multidisciplinary Issues Vol 4 No 1 (2024): Journal of Multidisciplinary Issues (JMIS)
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53748/jmis.v4i1.65

Abstract

Purposes - The primary objectives of this research are to explore Gen-Z’s preferred learning environments, identify the factors influencing their choices, and uncover the challenges and opportunities associated with each learning model. Additionally, the study aims to provide actionable insights for educational policy-making and practice. Methodology - A quantitative research approach was employed, utilizing surveys distributed to a diverse sample of Gen-Z students aged 18-24 currently enrolled in higher education. The survey collected data on participants' preferences, engagement levels, and the effectiveness of different learning models. Statistical analyses were performed to assess the relationships between the variables. Findings - The findings reveal that Gen-Z shows a strong preference for online and blended learning models over traditional classroom settings. The study highlights the significant impact of elements such as connectivism and constructivism on learning model effectiveness, while factors like student engagement and participant information also play moderate roles. However, the direct influence of knowledge acquisition on the choice of learning model was found to be minimal. Novelty - This research contributes to the limited academic literature on Gen-Z learning preferences by focusing on the comparative effectiveness of different educational models. The study provides a contemporary understanding of how digital natives interact with learning environments, offering insights that are crucial for developing future educational strategies. Research Implications - The study’s results have practical implications for educators and policymakers. By aligning teaching methods with Gen-Z’s preferences, educational institutions can enhance student engagement and learning outcomes. Furthermore, the research underscores the need for integrating technology into education and preparing for future shifts in learning trends among younger generations.
Exploring Ethical and Quality Dimensions of Artificial Intelligence Influence on Trust Princes, Elfindah; Silalahi, Wilma
Journal of Multidisciplinary Issues Vol 5 No 2 (2025): Journal of Multidisciplinary Issues
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53748/jmis.v5i2.46

Abstract

Objective – The purpose of this study is to examine how the amount of content generated by artificial intelligence (AI) is affecting the accuracy and reliability of information found online. Methodology – Using a survey-based approach conducted online with a 5-Likert scale, assessed by 10 survey items. Findings – The findings reveal that artificial intelligence does not have a direct effect on trust. Novelty – The conclusion emphasizes the relationship of the variables that may be used to develop a suitable marketing strategy.
Co-Authors Abdinagoro, Sri Bramantoro Adler Haymans Manurung Amini, Nuzulia Bambang Setiono Erlis, Erlis Firmansyah, Fatah Panji Idris Gautama So, Idris Gautama Michael Oetama, Raymond Sunardi Pangaribuan, Christian Haposan Rasji, Rasji Romprasert, Suppanunta Setiawan, Johan Silalahi, Wilma Soeryanto, Novianti Yosevine, Prisca