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All Journal Management Studies and Business Journal
Perdana, Janatika Putra
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Enhancing Quality Management through Advanced Statistical Techniques Nugroho, Cahyo Adi; Perdana, Janatika Putra; Tirtoadisuryo, Dendy; Rachmat, Asep Ferry; Erlangga, Irwan Syah
Management Studies and Business Journal (PRODUCTIVITY) Vol. 1 No. 9 (2024): Management Studies and Business Journal (PRODUCTIVITY)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/vbrcgz16

Abstract

Production environments with high variability present challenges in maintaining quality consistency, which are difficult to address using traditional approaches. This research aims to evaluate the impact of machine learning (ML)-based optimization on long-term quality management in industrial sectors that experience high production fluctuations. Using a systematic literature review approach with the PRISMA method, this research analyzes 18 studies related to the implementation of ML in quality process optimization. Results show that ML significantly supports product stability, defect reduction, and sustainable operational efficiency. The implications of this research strengthen the application of ML as a relevant and effective method for improving long-term quality in dynamic production environments.
Mental Health Support Strategies in the Workplace : Assessing Their Impact on Employee Well-being and Productivity Rismayanto, Heri; Utomo, Juniarto Dwi; Perdana, Janatika Putra; Tarigan, Frandy Putra Perdamen; Kasmin, Kasmin
Management Studies and Business Journal (PRODUCTIVITY) Vol. 1 No. 9 (2024): Management Studies and Business Journal (PRODUCTIVITY)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/rf159c62

Abstract

Mental health in the workplace is increasingly becoming a major concern for organizations, especially in the context of employee resilience and organizational loyalty. This research aims to explore the influence of personalized mental health support strategies on employee resilience and organizational loyalty. Using a systematic literature review approach, this study analyzes relevant literature and finds that tailored support significantly increases employee resilience, which has a positive impact on organizational loyalty. These findings provide important implications for human resource management practices, encouraging organizations to adopt a more personalized approach to mental health support.
Co-Authors Erlangga, Irwan Syah Kasmin, Kasmin Nugroho, Cahyo Adi Rachmat, Asep Ferry Rismayanto, Heri Tarigan, Frandy Putra Perdamen Tirtoadisuryo, Dendy Utomo, Juniarto Dwi