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HENGKI TAMANDO
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INDONESIA
Journal Basic Science and Technology
Published by Institute of Computer Science
ISSN : 20898185     EISSN : 28081498     DOI : https://doi.org/10.35335/jbst
Core Subject : Science, Engineering,
Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Materials Science & Nanotechnology Mechanical Engineering
This journal is devoted to identifying, mapping, understanding, and interpreting new trends and patterns in the development of science & technology especially in developing countries in this world. The journal endeavors to highlight science & technology development from different perspectives. The aim is to promote broader dissemination of the results of scholarly endeavors into a broader subject of knowledge and practices and to establish an effective means of communication among academic and research institutions, policymakers, government agencies, and persons concerned with the complex issue of science & technology development
Arjuna Subject : Umum - Umum
Articles 83 Documents
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Exploring the Implementation and Impact of Blockchain Technology on Student Academic Data Management in Higher Education Ainan Sekartika; M. Dirga Leandro
Journal Basic Science and Technology Vol 13 No 2 (2024): June: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

This research explores the implementation of blockchain technology in managing student academic data in higher education, investigating its potential benefits, challenges, and implications for theory, practice, and policy. Blockchain's decentralized, secure, and immutable nature offers significant advantages in enhancing data security, integrity, transparency, and student empowerment through self-sovereign identity systems. These benefits can streamline administrative processes, reduce operational costs, and improve trust among stakeholders. However, the research identifies several challenges, including technical complexities, scalability issues, interoperability with existing systems, regulatory compliance, and ethical considerations. Addressing these challenges requires robust technical infrastructure, stakeholder engagement, comprehensive training, and interdisciplinary collaboration. The study's findings have broad implications, prompting a reevaluation of traditional data governance theories and guiding higher education institutions in adapting their practices to leverage blockchain's strengths. This research provides a comprehensive analysis of blockchain's transformative potential in higher education, offering insights and strategies for successful implementation and fostering a more secure, transparent, and student-centric data management system.
Transforming Education: The Impact of Cloud Computing on Data Management and Student Learning Rinovian R Rinovian R; Suroso Suroso
Journal Basic Science and Technology Vol 13 No 2 (2024): June: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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This research examines the utilization of cloud computing technology in education and its implications for teaching, learning, and administrative practices within educational institutions. Through a synthesis of existing studies, the research identifies key findings, trends, and recommendations that shape the landscape of educational cloud computing. The findings highlight the transformative potential of cloud computing in enhancing accessibility, collaboration, efficiency, and innovation in education. Educators, administrators, policymakers, and students play crucial roles in leveraging cloud-based tools and platforms to personalize learning, streamline administrative processes, and promote digital equity. Looking to the future, emerging trends such as artificial intelligence (AI), augmented reality (AR), virtual reality (VR), blockchain, and edge computing are poised to revolutionize educational practices. Prioritizing cybersecurity, data privacy, and strategic planning will remain essential as educational institutions increasingly rely on cloud computing for data management and instructional delivery.
Unlocking the Potential: Evaluating the Impact of Padlet in Online-Based Learning Beni Surya Purba; Gamar Al Haddar; Deki Zulkarnain; Maulana Erwin Syahputra
Journal Basic Science and Technology Vol 13 No 3 (2024): October: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

Online education has become an integral part of modern education, with the rapid advancement of technology shaping the way students access and engage with learning content. In this evolving landscape, digital tools play a pivotal role in enhancing the online learning experience. This re-search investigates the effectiveness of the Padlet application in online-based learning, aiming to shed light on its impact on student engagement, collaboration, and learning outcomes. The study employs a mixed-methods approach, combining quantitative analysis of pre- and post-assessment scores and survey data with qualitative insights from interviews, focus group discussions, and content analysis of Padlet boards. Participants include students, educators, and administrators from diverse online-based learning environments. The quantitative analysis re-veals a statistically significant improvement in learning outcomes among students who utilized Padlet, indicating its positive influence on academic achievement. Survey data and qualitative analysis underscore Padlet's role in facilitating interactive and collaborative learning experiences, fostering critical thinking, creativity, and peer-to-peer knowledge sharing. This study provides valuable insights into the potential of Padlet as a versatile tool that can significantly enrich online-based learning experiences. The adaptability and user-friendliness of Padlet make it a valuable resource for educators and students alike.
Unveiling the Impact of E-Books on Elementary Students' Reading Com-prehension and Learning Achievement Muhammad Irwan Syahputra; Gamar Al Haddar; Muhammad Riza Syahputra; Suherman Chandra
Journal Basic Science and Technology Vol 13 No 3 (2024): October: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

The digital age has ushered in a new era of educational possibilities, offering innovative tools and resources to engage students in the learning process. This research investigates the impact of e-books on elementary school students' reading comprehension, utilizing a mixed-methods approach to provide a comprehensive understanding of the subject. The study, conducted in a diverse urban elementary school, employed both quantitative pre- and post-assessments and qualitative interviews with students, teachers, and parents to assess the effects of e-book integration. Quantitative findings revealed a statistically significant improvement in students' reading comprehension scores following exposure to e-books. Qualitative insights highlighted enhanced engagement, motivation, and differentiated learning experiences. Educators, students, and the broader educational community stand to benefit from the results of this research, which provide evidence of the feasibility and benefits of e-book integration in elementary education. These findings offer promising prospects for the evolution of curriculum design, educational technology implementation, and more inclusive and accessible learning environments in the digital age.
Digitalizing High School Education: Exploring the Impact of Google Classroom and Virtual Classes Iqbal, Faruk Alsayed
Journal Basic Science and Technology Vol 13 No 3 (2024): October: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

This research investigates the use of Google Classroom as a means of digitalizing high school education. The study delves into the impact of this digital platform on both students and edu-cators, focusing on the advantages, challenges, and broader implications of incorporating tech-nology into the classroom. Google Classroom offers several notable benefits, such as heightened student engagement, improved learning outcomes, and more efficient teacher-student commu-nication. It also encourages a shift in teaching methods, promoting personalized learning, col-laborative experiences, and resource efficiency. However, this research also underscores the sig-nificant challenges associated with digitalization, including issues related to equity, data privacy, digital distractions, and the potential drawbacks of overreliance on technology. The study con-cludes with recommendations for addressing these concerns, emphasizing the need for a bal-anced approach that leverages the advantages of digital tools while mitigating the challenges. Ultimately, digitalization holds great potential for enhancing high school education, but its suc-cessful implementation requires a thoughtful and comprehensive strategy that considers the evolving needs of students and educators in the digital age.Digitalization in Education; Google Classroom
Enhancing Student Engagement and Academic Performance through Gamification-Based Learning in Elementary Mathematics Education Sitepu, Ediaman; Natasya, Laura Myrolind; Sitopu, Joni Wilson; Mardiati, Mardiati; Charolina, Tiara
Journal Basic Science and Technology Vol 13 No 3 (2024): October: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

This research investigates the implementation of gamification-based learning in mathematics education at the elementary school level, aiming to enhance student engagement, academic performance, and teacher perceptions. Utilizing a mixed-methods approach, the study involved quantitative data from standardized assessments and surveys, alongside qualitative insights from interviews and classroom observations. Results indicated a significant increase in student engagement, with 85% of participants reporting heightened interest in mathematics following the introduction of gamified activities. Academic performance improved, with an average increase of 15% in mathematics scores, corroborating findings from prior research that links gamification to enhanced learning outcomes. Teachers reported positive perceptions of gamification, noting increased student motivation and improved classroom dynamics, although challenges related to task complexity and time investment for implementation were also identified. This research contributes to the growing body of literature on gamification in education, highlighting its potential to create dynamic and interactive learning environments while emphasizing the need for adequate support and professional development for educators. The findings suggest that when implemented thoughtfully, gamification can significantly transform mathematics teaching, fostering critical thinking and collaboration, and ultimately inspiring a lifelong appreciation for the subject among elementary students.
Performance Analysis of Routing Protocols in Ad-Hoc Networks: A Comparative Study of AODV, DSR, and OLSR Dimantara, William; Yusnanto, Tri; Arsan, Wansen Rey; Ginting, Suheri
Journal Basic Science and Technology Vol 13 No 3 (2024): October: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

This research investigates the performance of three prominent routing protocols Ad-hoc On-Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and Optimized Link State Routing (OLSR) in ad-hoc networks. Through comprehensive simulations, we evaluate key performance metrics including Packet Delivery Ratio (PDR), End-to-End Delay, Routing Overhead, and Throughput across varying network densities and mobility conditions. The results demonstrate that AODV consistently outperforms DSR and OLSR, particularly in high-density and dynamic environments, achieving higher PDR and lower delays. DSR exhibits competitive performance under moderate conditions but struggles in dense scenarios due to increased overhead and route instability. OLSR, while effective in static networks, shows significant limitations in mobile environments, resulting in higher routing overhead and delays. The findings emphasize the importance of selecting appropriate routing protocols based on specific application requirements and network conditions. This research contributes to the existing literature by providing insights into the relative performance of these protocols, highlighting the need for ongoing exploration of adaptive and hybrid solutions to address the challenges faced in real-world applications of ad-hoc networks.
Enhancing Digital Library Search Efficiency Through Artificial Intelligence: An Analysis of Fast Search Technologies Siringo, Rimmar; Abighael, Aaron; Gabriela, Jill Hannah
Journal Basic Science and Technology Vol 14 No 1 (2025): February: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

The advent of Artificial Intelligence (AI) has transformed digital library search systems, offering unprecedented speed, accuracy, and personalization. This research explores the implementation and benefits of AI-powered fast search technologies in digital libraries, comparing them with traditional methods such as keyword-based and Boolean searches. The study examines the efficiency, scalability, and user experience improvements made possible by advanced AI techniques, including natural language processing and semantic search. The findings reveal that AI-driven systems significantly enhance the retrieval process, enabling more relevant and context-aware search results, even for complex queries. Additionally, the study highlights the personalization of search experiences, making digital libraries more accessible and user-friendly for diverse audiences. However, challenges such as data quality, technical complexity, ethical considerations, and high implementation costs are identified as barriers to adoption. This research concludes that while AI technologies hold immense promise in revolutionizing digital libraries, addressing these challenges through collaborative efforts and robust frameworks is crucial. By doing so, digital libraries can fully leverage AI's potential to advance knowledge dissemination and support academic and research communities.
Robust Salt Body Segmentation in Seismic Datasets Using a Multi-Scale Deep Neural Framework sunkara, santhi priya; Sharma, Deepti
Journal Basic Science and Technology Vol 14 No 2 (2025): June: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

Accurate segmentation of salt bodies in seismic images is a critical task in subsurface exploration, as salt structures often act as traps for hydrocarbons. Traditional manual and rule-based methods are time-consuming and prone to inaccuracies due to the complex morphology and low contrast of salt boundaries. In this study, we propose a robust multi-scale deep neural network framework designed to enhance salt body segmentation in seismic datasets. The framework leverages a multi-scale encoder-decoder architecture integrated with Atrous Spatial Pyramid Pooling (ASPP) and attention mechanisms to effectively capture both global context and fine-grained structural details. Evaluated on the publicly available TGS Salt Identification Challenge dataset, the proposed model outperforms several state-of-the-art baselines in terms of Intersection over Union (IoU), Dice coefficient, and overall segmentation accuracy. The results demonstrate the framework’s effectiveness in accurately delineating salt regions, even in the presence of noisy or ambiguous seismic data, offering a reliable tool for aiding geophysical interpretation and exploration.
Vulnerability Analysis and Mitigation Strategies of DDoS Attacks on Cloud Infrastructure Sihotang, Hengki Tamando; Alrasyid, Wildan; Delano, Aldrich; Jacob, Halburt; Rizky, Galih Prakoso
Journal Basic Science and Technology Vol 14 No 2 (2025): June: Basic Science and Technology
Publisher : Institute of Computer Science (IOCS)

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Abstract

As cloud computing becomes increasingly central to modern digital operations, it has also become a primary target for Distributed Denial of Service (DDoS) attacks. This research investigates the major vulnerabilities within cloud infrastructure that are commonly exploited by DDoS attackers and evaluates the effectiveness of various mitigation strategies. The study employs a mixed-methods approach, combining vulnerability assessment, simulated attack scenarios, and comparative performance analysis of traditional and advanced defense mechanisms, including rate limiting, Intrusion Detection Systems (IDS), Software-Defined Networking (SDN), and machine learning-based anomaly detection. The findings reveal that key weaknesses in cloud systems such as shared resource models, unsecured APIs, and auto-scaling configurations can be leveraged to disrupt services or cause economic damage. The comparative evaluation highlights the limitations of conventional tools in handling sophisticated or large-scale attacks, while also showcasing the superior adaptability of SDN and AI-driven techniques under dynamic threat conditions. This research contributes to the field of cloud security by offering a comprehensive understanding of DDoS threat vectors, identifying effective defense combinations, and providing practical recommendations for strengthening the security posture of cloud systems. The study emphasizes the importance of proactive, layered, and intelligent defense frameworks to enhance the resilience of cloud-based infrastructures against evolving DDoS threats.

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