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Integration of Digital Twins and IoT Sensors to Support Monitoring Accuracy and Maintenance Effectiveness in the Manufacturing Industry in the Cikarang Region Farida Arinie Soelistianto; Salwa Aulia Noviasari; Rully Fildansyah
West Science Interdisciplinary Studies Vol. 4 No. 05 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i05.2860

Abstract

This study investigates the integration of digital twin technology and Internet of Things (IoT) sensors in improving monitoring accuracy and maintenance effectiveness within manufacturing companies in the Cikarang industrial region. A quantitative research design was employed using data collected from 125 respondents representing operational, maintenance, engineering, and managerial roles. The measurement instrument was developed using a Likert scale, and data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that the integration of digital twins and IoT sensors has a significant positive effect on monitoring accuracy, demonstrating that real-time data synchronization and simulation capabilities enhance system visibility and anomaly detection. Monitoring accuracy is also found to significantly influence maintenance effectiveness, highlighting the importance of accurate and timely information in supporting predictive maintenance practices. Furthermore, digital integration directly affects maintenance effectiveness, indicating that simulation-based insights and real-time data contribute to improved maintenance planning and reduced downtime. The model explains 61.2% of the variance in maintenance effectiveness (R² = 0.612), suggesting strong explanatory power. This study contributes to the literature on Industry 4.0 by providing empirical evidence on the role of integrated digital technologies in enhancing operational performance in a developing country context. Practically, the findings suggest that manufacturing firms should prioritize the integration of digital twins and IoT sensors to achieve higher monitoring accuracy and more effective maintenance strategies.
Financial Information Transparency and Data Security on Building User Trust in Peer-to-Peer Lending Platforms in Indonesia Meiske Wenno; Muhamad Ammar Muhtadi; Rully Fildansyah
West Science Interdisciplinary Studies Vol. 4 No. 05 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i05.2878

Abstract

This study examines the influence of financial transparency and data security on user trust in peer-to-peer (P2P) lending platforms in Indonesia. The rapid growth of fintech services has increased public adoption of digital lending platforms; however, concerns regarding transparency and cybersecurity remain significant challenges affecting consumer confidence. This research employed a quantitative approach using a survey method involving 250 respondents who had experience using P2P lending platforms in Indonesia. Data were collected through structured questionnaires using a five-point Likert scale and analyzed using SPSS version 25. The results indicate that financial transparency has a positive and significant effect on user trust, demonstrating that clear and accessible financial information enhances perceptions of platform reliability and accountability. Data security was also found to positively and significantly influence user trust, indicating that strong protection of personal and financial information increases confidence in digital transactions. Simultaneously, financial transparency and data security significantly influence user trust in P2P lending services. The findings suggest that fintech companies should strengthen transparent financial communication and cybersecurity systems to maintain public trust and support the sustainable development of digital financial services in Indonesia.