Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Journal of Computer Science Advancements Journal of Moeslim Research Technik Journal of Tecnologia Quantica
Kailie Maharjan
Technical University of Munich
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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 1 
Industrial Engineering 4.0 Strategies to Improve Manufacturing Efficiency and Productivity Kailie Maharjan; McCarty Elliot; Scherschligt Oscar
Journal of Moeslim Research Technik Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i3.938

Abstract

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 Kailie Maharjan; Zhang Wei; Uwe Barroso
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.
Development of Labyrinth Media to Stimulate Prosocial Behavior Skills of 5-6 years old Children in Purwakarta Cut Mutia Alsafiah; Imam Tabroni; Elladdadi Mark; Kailie Maharjan
Journal of Computer Science Advancements Vol. 1 No. 1 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jsca.v1i1.453

Abstract

This study aims to produce a valid labyrinth learning media to improve the ability of prosocial behavior in children aged 5-6 years.  This research is a development research with the development model used by Sugiyono.   In this study, researchers only used 7 (seven) stages, namely knowing problems and potential, data collection, product design, design validation, design revision, product trials and product manufacturing.  The next stage was not carried out due to cost and time constraints. The data collection technique used is a questionnaire, where the questionnaire is validated by material experts, media experts and educators. The type of data generated is quantitative and qualitative data. The average percentage result of the pretest conducted on 3 children is 10.6%, proving that the child's condition is still in the undeveloped stage. Then the posttest was carried out, namely the condition after the child was given the labyrinth media, the average percentage result of this posttest was 14.6% which proved that the child experienced a change in condition to develop as expected. So it can be concluded that the Labyrinth media to improve the ability of prosocial behavior of children aged 5-6 years has met the criteria for validity.  
Implementation of Augmented Reality Technology in History Learning: Experimental Study Apriyanto Apriyanto; Kailie Maharjan; Zhang Wei
Journal of Computer Science Advancements Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i4.1321

Abstract

The integration of technology into education continues to evolve, with augmented reality (AR) emerging as a promising tool in enhancing learning experiences. In the context of history education, traditional methods often struggle to engage students and provide immersive experiences. This study investigates the implementation of augmented reality technology in history learning to assess its impact on student engagement and understanding. The research aims to determine whether AR can effectively improve students' comprehension of historical events and concepts compared to conventional teaching methods. A mixed-methods experimental design was employed, involving a sample of high school students who were divided into an experimental group using AR technology and a control group following traditional teaching methods. Data were collected through pre- and post-intervention assessments, surveys, and interviews. The analysis focused on comparing learning outcomes and engagement levels between the two groups. Results indicated that the experimental group demonstrated significantly higher scores on post-intervention assessments and reported greater engagement and interest in the subject matter compared to the control group. These findings suggest that AR technology can enhance students' understanding of historical content by providing interactive and immersive learning experiences. The study concludes that incorporating AR technology into history education can significantly improve student learning outcomes and engagement. The use of AR provides a novel approach to teaching history, offering immersive experiences that can complement traditional methods. Future research should explore the long-term effects of AR on learning and its applicability across various educational contexts.
Use of Blockchain for Data Security in E-Government Systems Achmad Ridwan; Kailie Maharjan; Krim Ulwi
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.
Co-Authors Achmad Ridwan Apriyanto Apriyanto Cut Mutia Alsafiah Elladdadi Mark Krim Ulwi McCarty Elliot Scherschligt Oscar Uwe Barroso Zhang Wei