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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Computer Science and Information Technologies Konstelasi: Konvergensi Teknologi dan Sistem Informasi
Zhahir, Amirul Asyraf
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Computer Science & IT Engineering

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Entanglement classification – a comparative study of ??(?) and ??(?) developed operator model Zhahir, Amirul Asyraf; Mohd, Siti Munirah; M. Shuhud, Mohd Ilias; Idrus, Bahari; Zainuddin, Hishamuddin; Mohamad Jan, Nurhidaya; Wahiddin, Mohamed Ridza
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 13, No 3: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v13i3.pp556-562

Abstract

Entanglement classification is a core aspect of quantum information theory. It ensures successful quantum information processing. This article presents a comparative study of entanglement classification using developed operator models for the special unitary group and special linear group. This study was built upon prior work in entanglement classification in a pure three-qubit quantum system environment, where the operator models for each mathematical group were independently developed. Through extensive analysis, both synthesized models are functionally effective and yield the desired results. However, the comparative analysis reveals that the operator model exhibits certain limitations, particularly in its early phase of development compared to. This study provides significant enlightenments into the practical abilities of the developed operator models in entanglement classification and underlines the theoretical distinction between and paving the path for future research in quantum information theory, specifically entanglement classification.
Technology adoption model for smart urban farming-a proposed conceptual model Zhahir, Amirul Asyraf; M Shuhud, Mohd Ilias; Mohd, Siti Munirah; Kamarudin, Shafinah; Ahmad, Azuan; Salleh, Rossly; Md Norwawi, Norita
Computer Science and Information Technologies Vol 5, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i3.p283-291

Abstract

Technological advancements have made their way into the heart of human civilization across numerous fields, namely healthcare, logistics, and agriculture. Amidst the sprouting issues and challenges in the agriculture sector, particularly, the growing trend of integrating agriculture and technologies is roaring. The public and private sectors work hand in hand with regard to addressing these complex issues and challenges that arise, aiming for efficient and sustainable possible solutions. This study is a continuation of a previous systematic literature review; hence, the main objective is to deliver a proposed conceptual model for technology adoption specifically for smart urban farming. Innovation diffusion theory (IDT) is used as the main foundation of the proposed conceptual model, supplemented with additional factors drawn from other exisiting technology adoption models both the originals and extended versions. The outcome of the study is expected to reveal valuable insights into the components affecting the technology adoption model in smart urban farming, which will be further laid out upon in the upcoming study, offering a robust framework for future studies and applications in smart urban farming.
Smart Farming Adoption – A Scoping Review Zhahir, Amirul Asyraf; Shuhud, Mohd Ilias M; Mohd, Siti Munirah; Kamarudin, Shafinah; Ahmad, Azuan; Salleh, Rossly; Norwawi, Norita MD
KONSTELASI: Konvergensi Teknologi dan Sistem Informasi Vol. 4 No. 1 (2024): Juni 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/konstelasi.v4i1.9257

Abstract

Smart farming, one of the most rapidly growing technologies in the agriculture sector in the midst of the Industrial Revolution 4.0 era, signifies the integration of technologies into the industry. Numerous challenges of the agriculture sector were able to be decoded and formulated efficiently. Over the past few years, research on smart farming has grown expeditiously, observing in every different cornerstone of the sector. The main objective of this study is to investigate into the smart farming technology adoption exogenous factors through the lens of a scoping review. Selections of article from several different sources, published between 2010 and 2024 with specific keywords were thoroughly observed. Valuable information was identified and discussed, particularly the positively and negatively factors influencing the adoption of smart farming. The study serves as a bedrock for an upcoming study in the smart farming technology adoption.
Co-Authors Azuan Ahmad Idrus, Bahari Kamarudin, Shafinah M Shuhud, Mohd Ilias M. Shuhud, Mohd Ilias Md Norwawi, Norita Mohamad Jan, Nurhidaya MOHD, SITI MUNIRAH Norita Md Norwawi Salleh, Rossly Shuhud, Mohd Ilias M Wahiddin, Mohamed Ridza Zainuddin, Hishamuddin