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Analysis of the Impact of Process Automation and Human Resource Management on Production Completion Time and Product Quality in the Fast Food Industry in West Java Mohammad Gifari Sono; Apriyanto Apriyanto; Ellys Nurhaliza
West Science Interdisciplinary Studies Vol. 2 No. 12 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i12.1521

Abstract

This study investigates the impact of process automation and human resource management (HRM) on production turnaround time and product quality in the fast food industry in West Java. Using a quantitative research design, data were collected from 180 respondents through a structured questionnaire and analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS 3). The findings reveal that both process automation and HRM significantly influence production turnaround time and product quality, with automation showing a stronger impact on quality and HRM demonstrating a more substantial effect on turnaround time. The study highlights the synergistic relationship between automation and HRM, emphasizing their combined role in achieving operational efficiency and maintaining high product standards. These results provide actionable insights for fast food businesses to integrate technological advancements with strategic human resource practices, ensuring competitiveness in a dynamic market.
The Effect of Environmentally Friendly Packaging and Product Labeling on Purchasing Decisions and Business Sustainability of MSMEs in Bogor Mohammad Gifari Sono; Apriyanto Apriyanto; Paramita Andiani
West Science Social and Humanities Studies Vol. 3 No. 02 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i02.1688

Abstract

This study investigates the impact of Environmentally Friendly Packaging (EFP) and Product Labeling (PLA) on Purchasing Decisions (PDE) and Business Sustainability (BSU) in Micro, Small, and Medium Enterprises (MSMEs) in Bogor, Indonesia. Using a quantitative approach, data were collected from 170 MSME owners and analyzed using Structural Equation Modeling - Partial Least Squares (SEM-PLS). The results show that EFP and PLA have significant positive effects on PDE and BSU. Specifically, EFP influences Purchasing Decisions (β = 0.358, p < 0.001) and Business Sustainability (β = 0.240, p = 0.003), while PLA strongly affects both Purchasing Decisions (β = 0.530, p < 0.001) and Business Sustainability (β = 0.487, p < 0.001). These findings suggest that MSMEs can improve their competitiveness and long-term viability by adopting eco-friendly packaging and emphasizing sustainable labeling practices. The study contributes to the understanding of sustainable business practices in the context of MSMEs and provides valuable insights for entrepreneurs aiming to enhance their market position and ensure sustainability.
The Effect of Digitalization of the Recruitment Process, Use of Data Analysis Tools, and Generational Diversity on Workforce Quality at Technology Start-up Companies in West Java Apriyanto Apriyanto; Arief Yanto Rukmana; Ilham Akbar Bunyamin
West Science Social and Humanities Studies Vol. 3 No. 02 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i02.1718

Abstract

This study examines the impact of three critical factors—Digitalization of the Recruitment Process, Generational Diversity, and Use of Data Analysis Tools—on Workforce Quality in technology start-up companies in West Java. Using a quantitative approach, data were collected from 150 respondents with a Likert scale (1-5) and analyzed using Structural Equation Modeling (SEM-PLS 3). The results indicate that all three factors positively influence workforce quality, with Generational Diversity having the most substantial effect. Specifically, the digitalization of recruitment processes enhances workforce quality by improving candidate selection, while data analysis tools contribute to informed decision-making in talent management. The findings highlight the importance of integrating digital technologies and fostering a diverse workforce to optimize workforce quality in start-up environments. The study provides actionable insights for practitioners seeking to improve workforce performance through technological and diversity initiatives.
The Effect of Recommendation Algorithms and Provision of Digital Facilities on Purchasing Patterns and Consumer Loyalty on E-Commerce Platforms in Jakarta Frans Sudirjo; Apriyanto Apriyanto; Muhamad Ammar Muhtadi
West Science Interdisciplinary Studies Vol. 3 No. 02 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i02.1692

Abstract

This study investigates the effect of recommendation algorithms and the provision of digital facilities on purchasing patterns and consumer loyalty in e-commerce platforms in Jakarta. Using a quantitative approach, data was collected from 180 respondents through a structured questionnaire utilizing a Likert scale (1-5). The data was analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS 3). The results show that recommendation algorithms have a significant positive impact on both consumer loyalty and purchasing patterns, with path coefficients of 0.454 and 0.419, respectively. Additionally, the provision of digital facilities also influences consumer loyalty (0.360) and purchasing patterns (0.405). The study found that enhancing both personalized recommendations and digital infrastructure can significantly improve customer retention and sales, emphasizing the importance of these factors for e-commerce platforms in Jakarta. The model’s R² values suggest that it explains a substantial portion of the variance in consumer loyalty (0.567) and purchasing patterns (0.580), with high predictive relevance. The findings provide practical insights for e-commerce businesses to optimize user experience and strengthen consumer relationships, contributing to improved competitive advantage in the digital market.