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This Author published in this journals
All Journal International Journal of Cyber and IT Service Management (IJCITSM) Blockchain Frontier Technology (BFRONT)
Dini Hidayati
Bank Negara Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Library & Information Science

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Building Efficient IoT Systems with Edge Computing Integration Dini Hidayati; Andriyansah Andriyansah; Galih Putra Cesna; Ahmad Yadi Fauzi; Dwi Apriliasari; Untung Rahardja
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 4 No. 2 (2024): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v4i2.163

Abstract

The exponential growth of the Web of Things (IoT) is transforming businesses, connecting billions of devices that generate massive amounts of data. However, preparing this data at scale in real time poses significant challenges, including inactivity, transmission capacity constraints, and data blocking in centralized cloud systems. Edge computing has become an urgent solution. It allows data preparation to occur closer to the source, thereby improving operational productivity, reducing idle time, and optimizing transmission capacity. This shift toward local availability reduces the burden on centralized cloud systems, making IoT systems more responsive and robust. This article examines the integration of edge computing with IoT. It highlights the fundamental advances that have made this connection possible. Key applications, such as real-time analytics, vision support, and edge AI, describe how edge computing improves data processing and enhances independent decision-making at the device level. Additionally, we discuss how advances in hardware, orchestration techniques, and machine learning drive the development of edge-enabled IoT environments. By analyzing these current uses, we identify emerging trends that will shape future IoT systems, making them more adaptive, efficient, and resilient to changing data demands. This survey highlights the potential of edge computing to power next-generation IoT systems, providing important insights for businesses looking to support complete control of the devices involved.
Building Efficient IoT Systems with Edge Computing Integration Dini Hidayati; Andriyansah Andriyansah; Galih Putra Cesna; Ahmad Yadi Fauzi; Dwi Apriliasari; Untung Rahardja
International Journal of Cyber and IT Service Management Vol. 4 No. 2 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v4i2.163

Abstract

The exponential growth of the Web of Things (IoT) is transforming businesses, connecting billions of devices that generate massive amounts of data. However, preparing this data at scale in real time poses significant challenges, including inactivity, transmission capacity constraints, and data blocking in centralized cloud systems. Edge computing has become an urgent solution. It allows data preparation to occur closer to the source, thereby improving operational productivity, reducing idle time, and optimizing transmission capacity. This shift toward local availability reduces the burden on centralized cloud systems, making IoT systems more responsive and robust. This article examines the integration of edge computing with IoT. It highlights the fundamental advances that have made this connection possible. Key applications, such as real-time analytics, vision support, and edge AI, describe how edge computing improves data processing and enhances independent decision-making at the device level. Additionally, we discuss how advances in hardware, orchestration techniques, and machine learning drive the development of edge-enabled IoT environments. By analyzing these current uses, we identify emerging trends that will shape future IoT systems, making them more adaptive, efficient, and resilient to changing data demands. This survey highlights the potential of edge computing to power next-generation IoT systems, providing important insights for businesses looking to support complete control of the devices involved.
Implementation of Smart Contracts in TikTok Influencer Marketing Sudadi Pranata; Fajrinoor Fanani; Dini Hidayati; Rosa Lesmana; Zinhle Ndlovu
Blockchain Frontier Technology Vol. 4 No. 2 (2025): Blockchain Frontier Technology
Publisher : Indonesian Association of Higher Education in Informatics and Computing (APTIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v4i2.688

Abstract

The rapid growth of TikTok as a social media platform has transformed influencer marketing, offering brands unparalleled opportunities to engage with their target audiences. However, issues such as lack of transparency, trust, and inefficiencies in payment processes remain significant challenges in influencer marketing, highlighting a critical GAP in both literature and practice. This study addresses these challenges by exploring the implementation of smart contracts, powered by blockchain technology, as a novel solution. Smart contracts provide an automated, secure, and transparent framework for managing influencer marketing campaigns. The research employs a quantitative approach with Structural Equation Modeling (SEM) as the primary methode, utilizing the SmartPLS tool. Data were collected from 200 respondents who are active TikTok users and have engaged with influencer marketing campaigns. The findings reveal that credibility, informativeness, and entertainment positively affect advertising value, while irritation negatively impacts it. Furthermore, advertising value significantly influences advertising attitude, which, in turn, impacts purchase intention. Additionally, advertising attitude moderates the relationship between advertising value and purchase intention, strengthening its effect. These results and conclusions emphasize the transformative potential of smart contracts in enhancing transparency, trust, and efficiency within influencer marketing. By introducing blockchain-based solutions, this study makes a significant novelty contribution to the literature, offering practical insights for brands and marketers. Specifically, smart contracts enable brands to ensure fair compensation, accurate performance measurement, and improved campaign outcomes. This study underscores the importance of leveraging cutting edge technologies to address existing gaps in influencer marketing, ultimately paving the way for more effective and transaction.
Co-Authors Ahmad Yadi Fauzi Andriyansah . Dwi Apriliasari Fajrinoor Fanani Galih Putra Cesna Pranata, Sudadi Rosa Lesmana Untung Rahardja Zinhle Ndlovu