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All Journal Jurnal Ilmiah Sains dan Teknologi IAIC Transactions on Sustainable Digital Innovation (ITSDI)
Saleh, Taufikurrahman
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology Physics

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Analyzing the Influence of Artificial Intelligence on Digital Innovation: A SmartPLS Approach Harfizar; Wicaksono, Muhammad Wisnu; Hakim, Miftah Baidhowi; Wijaya, Fadly Hadi; Saleh, Taufikurrahman; Sana, Eirene
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 2 (2024): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v5i2.659

Abstract

This study investigates the influence of Artificial Intelligence (AI) on digital innovation using a SmartPLS approach, drawing insights from a dataset comprising 156 relevant observations. In the rapidly evolving digital landscape, AI has emerged as a powerful driver of innovation, reshaping organizational processes and outcomes across various sectors. Through a comprehensive analysis, the research explores the intricate relationships between AI adoption and digital innovation outcomes, addressing key questions regarding the extent to which AI influences process efficiency, product quality, and service creativity. The findings reveal significant correlations, highlighting the role of AI in enhancing organizational readiness, technological integration, and data quality. Moreover, the study identifies the critical importance of fostering an innovation culture and implementing effective change management strategies to leverage the full potential of AI-driven digital transformation. The robustness of the SmartPLS model is confirmed through substantial R-Square values and path coefficients, affirming the validity of the research hypotheses. Overall, this research contributes to a deeper understanding of the mechanisms through which AI influences digital innovation, offering actionable insights for businesses, policymakers, and researchers seeking to navigate and harness the potential of AI-driven digital transformation.
Design Of SPP Payment Information System Using Midtrans Payment Gateway At SMK Pujangga Pasar Kemis Harfizar, Harfizar; Saleh, Taufikurrahman; Delita Wati Waruwu, Ferda
Jurnal Ilmiah Sains dan Teknologi Vol 9 No 1 (2025): Jurnal Ilmiah Sains dan Teknologi
Publisher : Teknik Informatika Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/saintek.v9i1.3818

Abstract

Pujangga Pasar Kemis Vocational School is currently facing challenges in the tuition payment process which is still done manually, causing service delays, data security risks, as well as the possibility of data loss and errors in making reports. Difficulty in tracking payment data if the SPP payment card is lost is also a problem. To increase administrative efficiency, maintain data security, transparency, and provide better services, it is necessary to develop a technology-based tuition payment information system. The author collects information through observations and interviews with stakeholders to design an effective and structured tuition payment system. The PIECES system analysis method and system design using UML (Unified Modeling Language) are used to describe the design of this system. This system will be developed using the PHP programming language and MySQL database, with the help of XAMPP tools for data storage and management.
Co-Authors Delita Wati Waruwu, Ferda Hakim, Miftah Baidhowi Harfizar, Harfizar Sana, Eirene Wicaksono, Muhammad Wisnu Wijaya, Fadly Hadi