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Examining the Impact of Organizational Commitment and Work-Life Balance on Nurses' Job Performance at Regional General Hospital X in Jakarta: The Mediating Role of Job Satisfaction Djajasasana, Caroline Novenia; Palupi Meilani, Yohana F. Cahya
Jurnal Economic Resource Vol. 8 No. 2 (2025): September - February
Publisher : Fakultas Ekonomi & Bisnis Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/jer.v8i2.1439

Abstract

Hospitals require health workers with optimal performance to ensure high quality services, especially nurses who act as the frontline in patient care. Optimal nurse performance can improve patient safety, operational efficiency, and patient satisfaction. Maintaining this level of performance is a major challenge for hospital management. This study aims to analyse the effect of organisational commitment and work-life balance on nurses' job performance at Regional General Hospital X in Jakarta, with job satisfaction as a mediating variable. This study used a quantitative approach with a cross-sectional design, using a structured questionnaire distributed to non-civil servant nurses who have worked for at least one year at the hospital. The study involved a total of 100 respondents, consisting of 30 participants in the preliminary study and 70 in the main study. Data were analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results showed that both organisational commitment and work-life balance have a significant positive influence on job performance, both directly and indirectly through the mediation of job satisfaction. This study provides managerial implications for hospital administrators to effectively maintain and improve nurses' performance.
Utilizing Generative AI Models in Architectural Design An Innovative Approach Palupi Meilani, Yohana F. Cahya; Rohim, Rohim; Rozi, Achmad; Sunarjo, Richard Andre; Moyo, Kgomotso
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/wg15r798

Abstract

In the context of modern architectural design that demands innovation, speed, and efficiency, the emergence of generative artificial intelligence (AI) introduces a new paradigm in the creative process. This technology enables architects to explore design ideas more rapidly and extensively through diffusion-based algorithms capable of producing complex architectural visuals in a short amount of time. This study aims to empirically evaluate the effectiveness and efficiency of generative AI models, particularly Stable Diffusion v2.1, in supporting the stages of ideation, sketching, and architectural modeling. The research employs both qualitative and quantitative approaches through a comparative experiment between manual design and AI-assisted design. Measurements were conducted using four main parameters: production time, visual complexity, rendering sharpness, and the number of design iterations. The results indicate that the generative AI model can accelerate production time by up to 35% greater efficiency compared to the manual method. Furthermore, the Visual Complexity Score (VCS) reached 8.5/10 for AI-generated designs and 6.2/10 for manual ones, with an increase in rendering resolution up to 450 PPI. However, limitations were observed in semantic interpretation and the model’s dependence on well-crafted prompts. This study concludes that the integration of generative AI in architectural design not only enhances the efficiency and effectiveness of the design process but also expands the creative potential of architects. The research contributes to the development of sustainable digital architecture and supports the achievement of SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities and Communities). 
Unlocking Innovative Work Behavior: The Interplay of Engaging Leadership, Trust, Learning Climate, and Time Pressure Kristianto, Tobias; Palupi Meilani, Yohana F. Cahya
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 8 No. 1 (2026): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v8i1.185

Abstract

Background: In the era of Industry 4.0, companies must foster innovative work behavior (IWB) to sustain competitiveness. Yet even organizations with structured HRM systems report low work engagement among employees, particularly under high time pressure, creating a critical gap between innovation infrastructure and actual employee innovative behavior. Objective: This study examines the influence of engaging leadership, learning climate, trust, and time pressure on work engagement and, through it, on innovative work behavior, with work engagement as a mediating variable. Method: A quantitative cross-sectional design was employed. Using purposive sampling (criterion: minimum 2 years of service), data were collected via a five-point Likert scale questionnaire from 170 permanent employees at PT XYZ, a multinational manufacturing company in South Tangerang, and analyzed using PLS-SEM via SmartPLS 4.0. Result: The results of the study show that engaging leadership and learning climate have a positive and significant effect on work engagement, while trust and time pressure have no significant effect. In addition, work engagement has been proven to have a positive effect on innovative work behavior. The indirect relationship of engaging leadership and learning climate with innovative work behavior is established through work engagement mediation, while trust and time pressure are not mediated by work engagement. Conclusion: These findings affirm engaging leadership and a positive learning climate as the primary drivers of work engagement and innovation. Organizations should strengthen an engaging culture, broaden learning opportunities, and frame time pressure as a motivating challenge rather than a hindrance.