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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.
Systematic Literature Review on the Design and Prototype Testing of a Compact, Low-Cost, and Tropical Climate-Resilient Household Black Soldier Fly Larvae Cultivation System for Organic Waste Reduction at Source Perdana, Janatika Putra; Nur, Muhammad Syukri; Viendyasari, Milla; Prabowo, Tri Bagus; Hartono, Akhmad Muji
Journal of International Conference Proceedings Vol 8, No 7 (2025): 2025 Bali ICPM Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v8i7.4571

Abstract

The increasing volume of household organic waste in urban areas is a major challenge for sustainable environmental management, particularly in tropical regions with high temperatures and humidity. Black soldier fly larvae (BSFL) bioconversion offers an effective and sustainable solution by reducing organic waste while producing high-protein biomass. However, household adoption remains limited due to the lack of compact, affordable, and climate-appropriate cultivation systems. This study aims to identify and synthesize key design principles for a household-scale BSFL cultivation prototype optimized for humid and high-temperature tropical environments. A Systematic Literature Review was conducted to examine studies on bioconversion efficiency, environmental parameters, and system design characteristics. The findings highlight three main priorities: (1) the use of locally available low-cost materials to improve affordability and scalability; (2) an effective passive aeration system to control humidity and prevent mold growth; and (3) adequate thermal insulation to maintain stable internal temperatures. Based on the synthesized evidence, the proposed prototype is expected to achieve at least 50% organic waste reduction within 7–10 days, with a daily processing capacity of 1–3 kg. These findings provide practical guidance for accessible and sustainable BSFL-based waste management solutions in tropical urban settings.