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All Journal Journal of Humanities and Social Studies bit-Tech Journal of Business, Management and Social Studies Journal of Mutidisciplinary Issues
Princes, Elfindah
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The Impact of Cash Management Practices toward Financial Performance of Small and Medium Enterprises in Indonesia Amini, Nuzulia; Setiono, Bambang; Pangaribuan, Christian Haposan; Princes, Elfindah
Journal of Business, Management, and Social Studies Vol. 1 No. 1 (2021): Journal of Business, Management, and Social Studies
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (622.746 KB) | DOI: 10.53748/jbms.v1i1.7

Abstract

Objective – The importance of SMEs in Indonesia has been becoming the center of attention for the government to help the national economy grow. However, there are still many problems that hinder the potential of SMEs to develop. One of the problems is financial Management in terms of cash management, which can help SMEs have better Management over cash and better performance. Therefore, this study aims to analyze the current two elements of cash management practice, forecasting (FOR) and cash mobilization (CML) done by SMEs in Indonesia and its impact on Return on Assets (ROA) and Gross Profit Margin (GPM) as the financial performance measurements. Methodology – The research uses a quantitative approach from 90 SMEs in Java and Bali islands from April until July 2018. The data were analyzed descriptively using a 4-point scale questionnaire. A regression analysis was added to find out significant relationships between the variables. Findings – The research found that SMEs owners/managers often do forecasting and rarely do cash mobilization practices. The regression analysis shows a significant relationship between cash management practices and ROA but a non-significant relationship between cash management practices and Gross Profit Margin (GPM). Novelty – This research provides an insight of how cash management practices influence the financial performance in the context of SMEs.
Exploring Gender-Dependent Relationships between Mobile Phone Screen Addiction and Sleep Quality Princes, Elfindah; Erlis, Erlis
Journal of Business, Management, and Social Studies Vol. 3 No. 3 (2023): Journal of Business, Management, and Social Studies
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53748/jbms.v3i3.75

Abstract

This research’s main purpose is to assess whether smartphone addiction have a significant effect on sleep quality moderated by gender. The respondents in this study were specifically young adults, and a quantitative methodology was employed. Questionnaires were distributed to participants, and the researchers used the responses to compile quantitative data. Like the preceding example, the survey conducted through purposeful sampling would be classified as quantitative due to its use of closed-ended questions with multiple choice responses on a 5-point Likert scale. The results of the study show that although gender is not a significant moderating influence, smartphone addiction does have an effect on sleep quality. The research presents novel managerial strategies, including the creation of technology-free zones for designated periods of time and the encouragement of a work environment that places a high value on work-life balance. These useful recommendations do more than just identify the issue; they also include doable solutions that may be applied in a variety of work environments.
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.
The Influence Of Age And Gender: Unveiling Key Moderators In Insurtech Adoption And Use Behavior Firmansyah, Fatah Panji; Princes, Elfindah
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol 1, No 2 (2017): Journal of Humanities and Social Studies
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v8i3..10801

Abstract

This study aims to analyze the factors influencing the adoption and use of insurtech applications in Indonesia using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. The key factors examined include Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, along with additional variables such as Trust, Convenience, and Regulatory Expectancy. A quantitative method was employed, with data collected through a survey and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that Performance Expectancy, Effort Expectancy, Social Influence, and Trust significantly influence users' behavioral intention to adopt insurtech applications, while Convenience significantly impacts use behavior but not intention. In contrast, Regulatory Expectancy shows no significant influence on either intention or use behavior. Additionally, age moderates the relationships between certain variables, such as Social Influence, Convenience, and Facilitating Conditions, with both intention and use behavior, whereas gender only moderates the relationship between Social Influence and behavioral intention. In conclusion, application performance, ease of use, and trust are critical factors driving insurtech adoption, while convenience is key to sustaining usage.
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.
Danantara in the Light of Legal Theories: A Normative Assessment of Indonesia’s Sovereign Wealth Fund Princes, Elfindah; Silalahi, Wilma
Journal of Business, Management, and Social Studies Vol. 5 No. 1 (2025): Journal of Business, Management, and Social Studies
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53748/jbms.v5i1.116

Abstract

The purpose of this study is to analyze the legal, ethical, and institutional dimensions of Danantara, Indonesia’s newly launched Sovereign Wealth Fund (SWF), using a multidimensional legal theoretical framework. This paper examines how the establishment of Danantara aligns with or deviates from core legal theories, and explores its implications for governance and public legitimacy. This study employs a qualitative, normative legal research method using a doctrinal approach. Primary and secondary legal sources were analyzed, including government regulations, official reports, academic literature, and media commentaries. The analytical framework is built upon five legal theories: Legal Positivism, Natural Law, Rule of Law, Critical Legal Studies, and Good Governance Theory. The findings show that while Danantara fulfills the requirements of formal legality, it suffers from a lack of societal legitimacy and accountability due to governance opacity, politically affiliated leadership, and absence of independent oversight. These issues highlight inconsistencies with ethical standards and democratic values promoted by the selected legal theories. This paper provides a unique comparative analysis of Danantara by integrating five major legal theories into a single analytical framework—an approach rarely applied to sovereign wealth funds. It contributes to legal scholarship by revealing how formal legal instruments may reproduce structural inequality and democratic deficits if not grounded in ethical and participatory principles.
Consumer Conformity and Continuance Intention: A Study Case Approach of Facebook and WhatsApp Princes, Elfindah; So, Idris Gautama; Abdinagoro, Sri Bramantoro; Manurung, Adler Haymans
Journal of Business, Management, and Social Studies Vol. 5 No. 1 (2025): Journal of Business, Management, and Social Studies
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53748/jbms.v5i1.118

Abstract

ABSTRACT Purpose - This study aims to explore the phenomenon of consumer conformity and its impact on the continuance and reuse intention of digital communication platforms, particularly in the context of policy changes that force users into making critical decisions. Using the recent case of WhatsApp and Facebook's policy updates as a backdrop, this study examines how consumer conformity influences user behavior and intentions to continue or abandon a service. Methodology - The research is conceptual in nature, employing an integrative approach based on the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM). A comparative analysis is conducted through two proposed scenarios to understand user decisions following sudden policy changes, emphasizing the psychological factors of conformity, perceived value, trust, and perceived risk. Findings - The findings suggest that when consumers are faced with limited choices, such as accepting unfavorable terms or discontinuing service, informational and normative conformity significantly influence continuance intention. Factors such as perceived security, service quality, satisfaction, and perceived usefulness are found to moderate the relationship between conformity and continuance intention. Additionally, previous experience, trust, and self-efficacy emerge as strong determinants of users' willingness to reuse or abandon the service after policy disruptions. Novelty - Unlike previous studies that treat continuance intention purely as a result of satisfaction and usefulness, this study introduces the element of forced conformity and policy-driven decision-making into the behavioral model. It proposes a dynamic framework that incorporates psychological contract violation, trust restoration strategies, and conformity types (informational and normative) in explaining consumer behavior in digital platforms.
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