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All Journal Khalifa: Journal of Islamic Education Journal of Social Science Utilizing Technology Journal of Social Science Utilizing Technology Journal of Computer Science Advancements
Ulwi, Krim
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Journal : Journal of Computer Science Advancements

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The Impact of Parental Involvement in Online Learning on Student Academic Success Rohmatillah, Nur; Musmulyadin, Musmulyadin; Maharaja, Chandra Halim; Sabri, Sabri; Ulwi, Krim
Journal of Computer Science Advancements Vol. 1 No. 6 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v1i6.926

Abstract

Online learning is learning conducted through the internet. Online learning is also commonly referred to as e-learning, online learning, distance learning, virtual learning, and so on. Based on the explanation of online learning, parental involvement is also needed when students implement online learning. This study was conducted with the aim to find out how parental involvement can help students be more involved in online learning. In addition, it also aims to find out how parental involvement can impact on students’ academic success. The method used in this research is quantitative method. This method is a way of collecting numerical data that can be tested. Data is collected through the distribution of questionnaires addressed to students. Furthermore, the data that has been collected from the distribution of the questionnaire, will be accessible in Excel format which can then be processed with SPSS. From this study conducted, the researcher was able to obtain the results of the study on the impact of parental involvement in online learning on students’ academic success showed that parental involvement has a positive and significant influence on students’ academic achievement. In addition, parental involvement can help students in increasing students’ motivation to learn, improve students’ cognitive and psychomotor abilities, and help students face challenges in online learning. Based on the results of this study, it can be concluded that the impact of parental involvement in online learning on students’ academic success has a significant effect on students’ academic success. Parents play an active role in helping their children study at home, providing students with mobile phones and internet quota, and monitoring their academic progress. In addition, they provide supervision, incentives, and guidance which are very important for online learning.
Implementation of Agent Systems in Big Data Management: Integrating Artificial Intelligence for Data Mining Optimization M, Amril Huda; Simamora, Rani; Ulwi, Krim
Journal of Computer Science Advancements Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i1.1210

Abstract

Background: The rapid growth of data generated across various domains necessitates advanced methodologies for effective data management and extraction of meaningful insights. Traditional data processing techniques often struggle with the volume, variety, and velocity of big data. The integration of Agent Systems and Artificial Intelligence (AI) presents a promising approach to address these challenges by enhancing the efficiency and effectiveness of data mining processes. Objective: This study aims to explore the implementation of Agent Systems in big data management, focusing on how the integration of AI can optimize data mining operations. By leveraging the capabilities of intelligent agents, we seek to improve the accuracy, speed, and scalability of data analysis. Methods: A hybrid research methodology was employed, combining a systematic literature review with an empirical case study. The literature review analyzed previous research on Agent Systems, AI, and big data management to identify key trends and challenges. The empirical case study involved deploying an AI-integrated Agent System within a large-scale data environment to evaluate its performance. Key performance indicators (KPIs) such as processing time, accuracy, and scalability were measured and analyzed. Results: The findings indicate that the integration of AI within Agent Systems significantly enhances the data mining process. The system demonstrated a reduction in processing time by 40%, an increase in data analysis accuracy by 25%, and improved scalability, handling larger datasets more efficiently compared to traditional methods. These improvements were attributed to the autonomous and adaptive nature of agent systems, which enabled dynamic data processing and real-time decision-making. Conclusion: The study concludes that the implementation of AI-integrated Agent Systems in big data management offers substantial benefits, including optimized data mining performance. This integration facilitates more efficient and effective data analysis, which is crucial for organizations dealing with large volumes of data. Future research should focus on further refining these systems and exploring their application across different sectors.
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.
Co-Authors Achmad Ridwan, Achmad Andra, Andra Htay, Susan San I Putu Astawa M, Amril Huda Maharaja, Chandra Halim Maharjan, Kailie Musmulyadin, Musmulyadin Patri, Patri Pinto, Julio Tomas Po, Ei Thet Hmoo Sabri Sabri Simamora, Rani