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All Journal Al-Hijr: Journal of Adulearn World Journal International of Lingua and Technology World Psychology Analisis Gender dan Agama Journal International Dakwah and Communication International Journal of Educational Narratives Rechtsnormen Journal of Law Journal of Social Science Utilizing Technology Journal Emerging Technologies in Education Journal of World Future Medicine, Health and Nursing Journal of Social Science Utilizing Technology Journal of Computer Science Advancements Journal of Moeslim Research Technik Journal of Tecnologia Quantica
Maharjan, Kailie
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Religion Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Use of Blockchain for Data Security in E-Government Systems Ridwan, Achmad; Maharjan, Kailie; Ulwi, Krim
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1624

Abstract

The increasing reliance on digital platforms for public administration has heightened concerns about data security in e-government systems. Cyber threats, unauthorized access, and data breaches pose significant risks to the integrity and confidentiality of sensitive governmental information. Blockchain technology, with its decentralized and tamper-proof nature, offers a promising solution for enhancing data security in e-government systems. This research explores the use of blockchain to safeguard data in e-government platforms, focusing on its potential benefits, challenges, and implementation strategies. The study adopts a mixed-method approach, combining a systematic literature review and expert interviews. The literature review analyzed 50 academic articles and industry reports, while interviews with 10 blockchain experts provided practical insights. Key factors such as data integrity, transparency, and access control were evaluated to determine blockchain’s effectiveness in addressing e-government security challenges. The findings reveal that blockchain significantly improves data security by ensuring immutability, enabling secure data sharing, and reducing reliance on central authorities. Experts highlighted blockchain’s potential to enhance transparency and accountability while maintaining privacy through cryptographic techniques. However, challenges such as high implementation costs, scalability issues, and regulatory uncertainties were identified as barriers to adoption. The study concludes that blockchain can revolutionize e-government data security by offering a robust and decentralized framework. Addressing the challenges of implementation and policy alignment will be critical for realizing its full potential. Future research should focus on pilot projects and sector-specific adaptations to accelerate blockchain adoption in e-government systems.
Implementation of Blockchain Technology in Construction Project Management: A Contemporary Approach Guilin, Xie; Maharjan, Kailie; Mark, Elladdadi
Journal of Moeslim Research Technik Vol. 1 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

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Abstract

The construction industry is a sector known for its complexity in terms of project management. The involvement of various parties, the large flow of information, and the challenge of maintaining data validity are major challenges. In an effort to improve efficiency and transparency, blockchain technology is emerging as a potential solution. However, the applicability of this technology in the context of construction project management still requires further research. Research Objectives: This study aims to investigate the possibility and potential application of blockchain technology in construction project management. The main focus is to understand how this technology can improve efficiency, transparency, and data reliability in various aspects of construction project management. Research Methods: This research utilized a qualitative approach with descriptive analysis. Data was collected through a review of related literature as well as case studies of blockchain technology implementation in construction project management in several large-scale projects. An in-depth analysis was conducted to understand the challenges, benefits, and key factors affecting successful implementation. Research Results: The results show that blockchain technology has great potential in improving efficiency and transparency in construction project management. By utilizing features such as distributed ledgers, smart contracts, and secure transaction confirmation, the project management process can become more structured, efficient, and trustworthy. Research Conclusion: In the context of construction project management, the implementation of blockchain technology offers an attractive solution to address existing challenges. Although there are still some technical and policy hurdles that need to be overcome, the long-term potential of this technology in improving the productivity and quality of construction projects is promising. Therefore, strategic steps need to be taken to encourage wider adoption of this technology in the construction industry.
Industrial Engineering 4.0 Strategies to Improve Manufacturing Efficiency and Productivity Maharjan, Kailie; Elliot, McCarty; Oscar, Scherschligt
Journal of Moeslim Research Technik Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

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The Industrial Revolution 4.0 has brought significant changes in the manufacturing sector through the application of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. The application of these technologies aims to address the challenges of improving efficiency and productivity in an increasingly complex and competitive manufacturing environment. This research aims to identify and analyse effective strategies in implementing Industry 4.0 techniques to improve operational efficiency and productivity in the manufacturing sector. This research uses a case study method on several manufacturing companies that have implemented Industry 4.0 technology. Data were collected through interviews, direct observation, and analysis of company documents. Qualitative and quantitative approaches were used to analyse the data obtained. The results showed that the implementation of IoT, AI, and big data analytics technologies significantly improved efficiency and productivity. Successful implementation involves good integration between technology and business processes, employee training, and commitment from top management. Companies that implement these strategies successfully reduce downtime, improve product quality, and speed up production time. The research concludes that the right Industry 4.0 strategy can deliver significant improvements in manufacturing efficiency and productivity. The key to success lies in thorough technology integration, improved workforce competencies, and strong management support. Effective implementation of these strategies can give companies a competitive advantage in the global market
The Future of Quantum Optics: Mapping the Path to Scalable Quantum Computing Maharjan, Kailie; Wei, Zhang; Barroso, Uwe
Journal of Tecnologia Quantica Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i2.905

Abstract

quantum computing. However, the main challenge in creating a scalable quantum computer involves overcoming the technical and physical obstacles of manipulating and maintaining stable quantum states. This research aims to identify and map potential pathways that could lead to the realization of scalable quantum computing. This research explores various approaches in Quantum Optics that can support scalability in quantum computing, focusing on innovations in quantum state control techniques, more efficient system design, and the development of new materials. The methods include comprehensive literature analysis, laboratory experiments, and mathematical modelling. The literature analysis aims to identify recent advances and shortcomings in current techniques. Experiments were conducted to test the feasibility of newly developed techniques in controlling quantum states, while mathematical modelling was used to predict system performance under various operational conditions. This study's results show that using phase and amplitude modulation techniques in quantum state settings offers increased stability and reduced errors. Additionally, new nano-based materials show the potential to enhance interactions between qubits, which is crucial for scalability. This research concludes that combining more advanced state control techniques with innovative materials could significantly advance the prospects for scalable quantum computing. Further research aimed at systems integration and automation of quantum state control is needed to overcome the remaining obstacles.
Co-Authors Achmad Ridwan, Achmad Akib Akib, Akib Alghiffary, Idrus Ali Mufron, Ali Alpian Jayadi, Alpian Alsafiah, Cut Mutia Anggreini, Maya Antonius Alam Wicaksono Apriyanto, Apriyanto Barroso, Uwe Buka, Sisilia Prima Yanuaria Elliot, McCarty Fernando, Jimmy Rian Fitriani, Rani Frananda, Anggra Guilin, Xie Henny Saida Flora I Putu Astawa Indasah Joshua, Wang Lelepary, Heppy Leunard Lewar, Emanuel Suban Bala Mark, Eladdadi Mark, Elladdadi Maulina, Yesika Moh Mujibur Rohman Monika, Viki Indah Nitin, Mahon Niva, Matteson Nurteti, Lilis Oscar, Scherschligt Putri, Lusiana Rahmadani Raihana, Fildza Qonita Rima Rachmawati Ritonga, Abdillah Rofiif Fatin Rozhana , Kardina Metha Setiyaningrum, Erna Siti Farida SUMADI SUMADI Taufik Abdillah Syukur Tusi, Juandri Seprianto Ulwi, Krim Vanchapo, Antonius Rino Wahidah Fitriani waluyo, bambang dwi Xavier, Embrechts Yani Prabowo Yeni, Putri Zani, Benny Novico Zhang Wei