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All Journal Technomedia Journal Blockchain Frontier Technology (BFRONT) Journal of Computer Science and Technology Application
Wijaya, Surta
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Computer Science & IT Control & Systems Engineering Education Languange, Linguistic, Communication & Media Library & Information Science Other

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Information Decentralization in the Digital Era: Analysis of the Influence of Blockchain Technology on E-Journal Applications Using SmartPLS Faturahman, Adam; Rahayu, Sri; Triyono; Wijaya, Surta; Ayu Sanjaya, Yulia Putri
Blockchain Frontier Technology Vol. 4 No. 1 (2024): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v4i1.497

Abstract

This research explores the latest in information decentralization using blockchain technology in e-journal applications. Using a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach via SmartPLS, this research integrates variables such as Data Security (KD), Information Transparency (IT), and User Participation (PP) to measure the direct and indirect influence ofblockchain technology . Data was collected from 250 respondents consisting of researchers, developers and end users of e-journals. Analysis shows that Data Security (KD) plays an important role in increasing Information Transparency (IT) with a path coefficient value of 0.75. Furthermore, Information Transparency (IT) significantly influences User Participation (PP) with a pathcoefficient value of 0.65. These results suggest that blockchain implementation not only improves data security, but also facilitates greater transparency, which in turn increases user participation in e-journals. This research makes an important contribution to the literature by showing how specific variables can be leveraged to optimize the application of blockchain technology in the context of e-journals.
Integration of Business Intelligence and Predictive Analytics for Student Success Based on Blockchain: Integrasi Business Intelligence dan Analitik Prediktif untuk Keberhasilan Mahasiswa Berbasis Blockchain Rahardja, Untung; Rakhmansyah, Mohamad; Wijaya, Surta; Anjani, Sheila Aulia; Davies, Mary
Technomedia Journal Vol 10 No 1 (2025): June
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v10i1.2389

Abstract

In the digital era, education is undergoing a significant transformation, with predictive analytics becoming an important approach to increasing student success. Rapid advancements in technology have enabled institutions to collect and analyze diverse datasets, yet challenges remain in ensuring data accuracy, transparency, and reliability. This research explores the integration of blockchain technology to address data integrity challenges, with a focus on its application in predictive analytics. The objective is to enhance the reliability of student-related data while improving the effectiveness of academic performance predictions. Specifically, this research examines the relationship between Academic Performance Metrics (APM), Student Engagement Data (SED), Socioeconomic Factors (SEF), Blockchain-Enabled Data Integrity (BDI), and Predictive Algorithm Efficiency (PAE). Using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method, data were collected through structured surveys and institutional records involving higher education students. The constructs were validated through measurement model testing before proceeding to structural path analysis. The results show the significant influence of socio-economic factors and blockchain-based data integrity on academic outcomes, while student engagement and predictive algorithm efficiency also demonstrate moderate effects. The study also identifies areas that require improvement in predictive models, particularly regarding the alignment of input variables with algorithm design. These findings emphasize the importance of leveraging technology to develop more equitable and effective educational strategies, while underscoring the need for continued improvements in construct design to increase the reliability and validity of models. This research contributes to the growing field of educational data science by offering a blockchain-enhanced framework for predictive analytics in education.
iLearning Education Challenge: Combining the Power of Blockchain with Gamification Concepts Wijaya, Surta; Husain, Abigail; Laurens, Mackenzie; Birgithri, Andzelika
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i1.11

Abstract

The adoption of online learning in colleges as a response to the COVID-19 pandemic has profoundly influenced education. Knowledge acquisition dramatically depends on a person's interest and willingness to learn. A platform that fosters student motivation in effectively completing activity hours is required. The available learning strategies include collaborative and creative learning, which aim to attain successful graduation outcomes with the assistance of the Independent Campus program. This project aims to develop gamification strategies that enhance students' creativity, innovation, and interactivity by integrating principles of learning and play. Furthermore, blockchain-based learning platforms can be a regulatory mechanism for ensuring secure and pleasurable learning experiences while supporting esteemed educational institutions. By implementing gamification tactics in conjunction with blockchain technology, all devices linked to the network will be transformed into nodes or servers. This study employs agile development methodologies, namely iterative and incremental models, to design distributed storage blockchain algorithms. The GamiChain iLearning educational model, which incorporates gamification blockchain, is constructed using IPFS. GamiChain, a gamification blockchain, can effectively assist the Independent Campus initiative by providing students with the necessary resources to cultivate their potential and produce exceptional and successful graduates.
Co-Authors Anjani, Sheila Aulia Ayu Sanjaya, Yulia Putri Birgithri, Andzelika Davies, Mary Faturahman, Adam Husain, Abigail Laurens, Mackenzie Rakhmansyah, Mohamad SRI RAHAYU Triyono Untung Rahardja