Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
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This Author published in this journals
All Journal Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Siber Journal of Advanced Multidisciplinary
Irving Ignatius Paul Luntungan
Universitas Indonesia Membangun
Humanities Economics, Econometrics & Finance Engineering Health Professions Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology

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Integrative Model of Employee Productivity Based on Digital Capability, Leadership, and Operational Excellence Lia Agustianti Ghemy; Aris Setiyani; Irving Ignatius Paul Luntungan
Siber Journal of Advanced Multidisciplinary Vol. 4 No. 2 (2026): (SJAM) Siber Journal of Advanced Multidisciplinary (July - September 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v4i2.979

Abstract

This study develops an integrative model of employee productivity by examining the roles of digital capability, leadership, and operational excellence in the context of digital transformation within Indonesia’s food and beverage manufacturing industry. Although previous studies have investigated these constructs separately, limited research has integrated them into a comprehensive structural framework. A quantitative explanatory design was employed using survey data collected from 200 employees of PT Ultrajaya Milk Industry & Trading Company Tbk. The proposed relationships were analyzed using Structural Equation Modeling (SEM). The findings reveal that digital capability is the strongest determinant of employee productivity, followed by leadership, while operational excellence significantly enhances productivity and partially mediates the effects of both digital capability and leadership. The results indicate that organizations can achieve sustainable productivity by simultaneously strengthening employees’ digital competencies, developing transformational leadership, and fostering operational excellence. The study contributes to the Resource-Based View and Human Capital Theory by demonstrating that technological capability, leadership quality, and organizational processes function as complementary strategic resources for improving workforce productivity. Practically, the findings provide managerial guidance for designing integrated digital transformation and human capital development strategies to enhance organizational competitiveness.
Public Perception And Sentiment On Social Media X Towards The Interest In Adopting Bitcoin As A Digital Asset Febrianto Febrianto; Nunung Ayu Sofiati; Mochammad Mukti Ali; Yoyo Sudaryo; Ade Salman Alfarisi; Irving Ignatius Paul Luntungan; Anggono Raras Tirto Sakti
Dinasti International Journal of Economics, Finance & Accounting Vol. 6 No. 2 (2025): Dinasti International Journal of Economics, Finance & Accounting (May-June 2025
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v6i2.4469

Abstract

This study analyzes the relationship between public sentiment on the social media platform X and Bitcoin's global price volatility from January to October 2024. Using sentiment analysis supported by the BERT machine learning model and the Support Vector Machine (SVM) algorithm, relevant tweets were classified into positive, neutral, and negative sentiments. Model evaluation demonstrated excellent performance, with precision, recall, and F1-score for positive sentiment reaching 95.52%, 93.57%, and 94.53%, respectively. Neutral sentiment achieved precision of 88.61%, recall of 92.11%, and an F1-score of 90.32%. Negative sentiment yielded precision of 92.02%, recall of 91.05%, and an F1-score of 91.53%. The results indicate a significant correlation between public sentiment and Bitcoin price movements, where positive sentiment drives price increases while negative sentiment often triggers sell-offs. Moreover, the intensity of social media discussions significantly impacts market dynamics, as evidenced by a spike in activity in March 2024 coinciding with Bitcoin's price peak during the study period. These findings provide insights for investors, market analysts, and regulators to understand the role of social media as a market sentiment indicator influencing digital asset volatility.
Co-Authors Ade Salman Alfarisi Anggono Raras Tirto Sakti Aris Setiyani Febrianto Febrianto Lia Agustianti Ghemy Mukti Ali, Mochammad Nunung Ayu Sofiati (Efi) Yoyo Sudaryo