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All Journal JURNAL PENDIDIKAN SAINS SOSIAL DAN AGAMA East Asian Journal of Multidisciplinary Research (EAJMR) Indonesian Journal of Advanced Research (IJAR)
Wardani, Febri Pramudya
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Other

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Management of Intergenerational Conflict in the Workplace and Its Impact on Employee Relations Wardani, Febri Pramudya; Krismayanti, Yanti; Sacha, Shinta; Siahaan, Rahel Sintadevi; Anjarsari, Nisa; Rumambi, Freddy Johanis
Indonesian Journal of Advanced Research Vol. 3 No. 12 (2024): December 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijar.v3i12.12677

Abstract

Intergenerational conflict in the workplace stems from differences in values, work preferences, communication styles, and adaptability to technology among Baby Boomers, Generation X, Millennials, and Generation Z. This qualitative descriptive study examines the forms, impacts, and management strategies of such conflicts. Findings reveal that these conflicts manifest in communication mismatches, work-life balance expectations, and varying technological adaptability, leading to interpersonal tension, reduced productivity, and fragmented workplace dynamics. Effective management through open communication, intergenerational training, and collaborative projects can transform conflicts into opportunities for innovation and synergy. The study highlights practical recommendations for managers and HR professionals and contributes to theoretical discussions on managing generational diversity. Future research should quantitatively explore the link between generational conflict and organizational performance.
Implementation Of Project-Based Learning Based On Computational Thinking To Prepare Private Senior High School Students In East Jakarta As The Golden Generation Of 2045 Wardani, Febri Pramudya; Sundari, Sri; Suharyono, Suharyono; Pakpahan, Marisi
Jurnal Pendidikan, Sains Sosial, dan Agama Vol. 10 No. 2 (2024): Jurnal Pendidikan, Sains Sosial, dan Agama
Publisher : STABN RADEN WIJAYA WONOGIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53565/pssa.v10i2.1883

Abstract

Improving the quality of education is essential to shaping Indonesia's Golden Generation 2045, characterized by excellence, innovation, and global competitiveness. This study focuses on implementing Project-Based Learning (PBL) integrated with Computational Thinking (CT) in private high schools in East Jakarta as a strategic approach to bridge the gaps in access and education quality. The approach emphasizes not only theoretical aspects but also contextual project-based learning that fosters 21st-century skills development.The key issues addressed include disparities in educational access and quality across various schools at both national and local levels, as identified through global indicators. These challenges highlight the need for educational interventions that enhance student competitiveness by applying adaptive and innovative curricula. Computational Thinking is employed to train students in systematic thinking, problem-solving for complex challenges, and innovation through technological applications.This research aims to analyze the effectiveness of Project-Based Learning combined with Computational Thinking in improving student outcomes, creativity, and adaptive skills. The findings are expected to provide strategic recommendations for developing education policies based on innovation, thereby addressing global educational challenges and enhancing the quality of private schools in Indonesia
Opportunities and Challenges in Implementing Information Technology Innovations in the Indonesian Education Sector Hadiningrat, K.P. Suharyono S.; Silalahi, Verry Albert Jekson Mardame; Wardani, Febri Pramudya
East Asian Journal of Multidisciplinary Research Vol. 3 No. 8 (2024): August 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/eajmr.v3i8.10686

Abstract

This research explores the opportunities and challenges in implementing information technology (IT) innovations in Indonesia's education sector. The study examines key variables such as infrastructure, internet access, and teacher training, using qualitative methodologies including case studies and literature reviews. Data were collected from various sources over the past decade. Findings highlight that while IT can enhance education quality and access, particularly through e-learning and digital tools, significant barriers remain due to Indonesia's geographical diversity and unequal infrastructure. The research suggests strategies for overcoming these challenges, such as accelerated infrastructure development, increased research funding, and comprehensive teacher training programs. These insights aim to inform policy and practice, enhancing IT integration in Indonesian education.
Artificial Intelligence (AI) and Automation in Human Resources : Shifting the Focus from Routine Tasks to Strategic Initiatives for Improved Employee Engagement Sundari, Sri; Silalahi, Verry Albert Jekson Mardame; Wardani, Febri Pramudya; Siahaan, Rahel Sintadevi; Sacha, Shinta; Krismayanti, Yanti; Anjarsari, Nisa
East Asian Journal of Multidisciplinary Research Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/eajmr.v3i10.11758

Abstract

This study examines how implementing artificial intelligence (AI) in human resource management (HR) impacts employee engagement and operational efficiency. By automating tasks like data management, scheduling, and payroll, AI enables HR teams to focus on strategic initiatives such as talent management and culture development. Using a descriptive qualitative approach and literature review, the research finds that AI adoption improves operational efficiency by 30% and enhances employee engagement through personalized experiences and real-time feedback. Additionally, AI supports better strategic decision-making with predictive employee data analysis. However, challenges include employee resistance and the need for HR retraining. For optimal results, companies should strengthen internal communication and establish supportive policies that enhance engagement and well-being through AI integration.
Co-Authors Anjarsari, Nisa Freddy Johanis Rumambi Hadiningrat, K.P. Suharyono S. Krismayanti, Yanti Pakpahan, Marisi Sacha, Shinta Siahaan, Rahel Sintadevi Silalahi, Verry Albert Jekson Mardame Suharyono Suharyono Sundari, Sri