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All Journal JURNAL PENDIDIKAN SAINS SOSIAL DAN AGAMA Jurnal Multidisiplin Madani (MUDIMA) East Asian Journal of Multidisciplinary Research (EAJMR) Indonesian Journal of Advanced Research (IJAR)
Siahaan, Rahel Sintadevi
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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 Social Sciences 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.
The Effect of Workload, Social Support and Role Conflict on Work Stress That Impacts Work Performance at SMA Santo Yoseph, Cakung Siahaan, Rahel Sintadevi; Rudianto, Rudianto; Rante, Jones Zenas; 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.v10i2.1902

Abstract

This study investigates the effects of workload, social support, and role conflict on work stress and its subsequent impact on teacher performance at SMA Santo Yoseph, Cakung. A quantitative approach was adopted, employing a census method involving 24 teachers. Data were analyzed using the Partial Least Squares Structural Equation Modeling (SEM-PLS) technique through SmartPLS version 4.1.0.9. The outer model analysis confirmed that all constructs met the criteria for convergent validity and internal consistency reliability (CR > 0.7). The inner model evaluation revealed adjusted R² values of 0.812 for work stress and 0.774 for job performance, along with Q² values exceeding 0.5, indicating strong predictive relevance. Hypothesis testing demonstrated that workload (β = 0.392; p < 0.05) and role conflict (β = 0.327; p < 0.05) exert a significant positive influence on work stress, whereas social support has a significant negative effect (β = -0.321; p < 0.05). Furthermore, work stress significantly reduces job performance (β = -0.509; p < 0.05). Both workload and role conflict were found to have direct negative effects on job performance. While social support and work stress were also shown to influence performance positively, the effect of work stress, although significant, was relatively weak. Nevertheless, the analysis of indirect effects indicated that work stress does not mediate the relationships between workload, social support, and role conflict with job performance, as all three indirect paths were statistically insignificant. The findings underscore the importance of managing workload and role conflict, as well as fostering social support within the school environment, to enhance teacher performance. Additionally, moderate levels of work stress (eustress) may serve as a performance enhancer, provided it is managed to avoid escalation into harmful distress..
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.
The Role of Artificial Intelligence in Marketing Innovation Silalahi, Verry Albert Jekson Mardame; Simanjuntak, Amoi Sanyo; Siahaan, Rahel Sintadevi; Tangkudung, Audrey Gamaliel Dotulong
Jurnal Multidisiplin Madani Vol. 4 No. 6 (2024): June 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/mudima.v4i6.9629

Abstract

Artificial Intelligence (AI) capabilities have become very important in the modern marketing world due to its expertise in analyzing data in depth, predicting consumer behavior, and improving the efficiency of marketing campaigns. The use of artificial intelligence (AI) allows companies to achieve better results in digital marketing by means of content personalization and ad optimization. The purpose of this research is to identify and analyze the role of artificial intelligence in marketing innovation, especially in developing new marketing strategies and improving the effectiveness and efficiency of marketing campaigns. This research uses a qualitative method with a case study approach technique. Data were obtained through semi-structured interviews, focus group discussions (FGDs), and direct observation of five companies that use AI in their marketing strategies. Thematic analysis was used to identify key themes from the collected data. The study shows that artificial intelligence (AI) improves customer personalization and segmentation, operational efficiency, and customer sentiment analysis. AI can also predict sales more precisely and optimize digital advertising, which helps improve overall marketing performance. The application of artificial intelligence (AI) in marketing has a major positive impact on the effectiveness and efficiency of marketing campaigns. These results can provide useful advice for marketers in utilizing artificial intelligence more effectively, as well as contribute to research on the role of artificial intelligence in marketing innovation
Co-Authors Anjarsari, Nisa Freddy Johanis Rumambi Krismayanti, Yanti Pakpahan, Marisi Rante, Jones Zenas Rudianto Rudianto Sacha, Shinta Silalahi, Verry Albert Jekson Mardame Simanjuntak, Amoi Sanyo Sundari, Sri Tangkudung, Audrey Gamaliel Dotulong Wardani, Febri Pramudya