Cybersecurity and Innovative Technology Journal
Cybersecurity and Innovative Technology Journal is a peer-reviewed, open-access journal that publishes high quality articles both the theoretical foundations and practical applications of cybersecurity and innovative technology worldwide. We welcome original research articles and reviews that contribute to the understanding and application of cybersecurity and innovative technology. Our scope covers a wide range of cybersecurity and innovative technology, including but not limited to: Cybersecurity and Applications Innovative Technology and Applications Artificial Intelligence and Applications. Cybersecurity and Innovative Technology Journal is published by Gemilang Maju Publikasi Ilmiah (GMPI). Cybersecurity and Innovative Technology Journal has become a Crossref member since year 2023 with prefix 10.53889. Therefore all articles published by Cybersecurity and Innovative Technology Journal will have uniques DOI numbers since Vol.1, No.1, September 2023. Since Vol.1, No.1, September 2023. Cybersecurity and Innovative Technology Journal uses Anti-Plagiarism Software "Turnitin" to check the authenticity article. Cybersecurity and Innovative Technology Journal has been accredited at the 3rd grade by the Ministry of Higher Education, Science, and Technology of Republic of Indonesia since the first issue in Vol.1, No.1, 2023 according to the decision No. 156/C/C3/KPT/2026. Cybersecurity and Innovative Technology Journal is cited by articles in Scopus database at least 90 times since published in September 2023 available online on <a href="https://www.scopus.com/results/results.uri?st1=Citj&st2=&s=%28SRCTITLE%28Citj%29+OR+SRCTITLE%28Cybersecur+Innovative+Technol+J%29+OR+SRCTITLE%28cybersecur+AND+innov+AND+technol+AND+j%29+OR+SRCTITLE%28cybersecurity+AND+innovative+AND+technology+AND+journal%29+OR+SRCTITLE%28cybersecurity+AND+innov.+AND+technol.+AND+j.%29%29&limit=10&origin=resultslist&sort=plf-f&src=dm&sot=b&sdt=cl&sessionSearchId=8d3cf53c8039e0392c47fdca2f6d2fea&cluster=scoexactsrctitle%2C%22Citj+as+A+Terminal%22%2Cf%2C%22Independent+Citj+Website+Sites+and+Networks%22%2Cf%2C%22Blockchain+in+Cybersecurity+Jetir+Journal+of+Emerging+Technologies+and+Innovative+Research%22%2Cf">https://scopus.com with the detail available here. Cybersecurity and Innovative Technology Journal has been indexed by
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Elementary School Students’ Readiness to Adopt Artificial Intelligence (AI)-Based Learning
This research will focus on the evaluation of elementary school students' readiness to use AI for their learning process through three significant factors, namely dimensions of readiness, factors affecting readiness, and conditions for infrastructure and ecosystem of schools. The type of this research is a literature review that utilizes qualitative methods. This data collection is done based on ten scientific articles from national and international journals, sourced from the Google Scholar, Scopus, ERIC, and Sinta databases. The data were collected by documentation, and data analysis was done using content analysis and thematic synthesis. From the research findings, it is evident that the readiness for AI integration among primary level pupils entails three related constructs; cognitive (knowledge of AI), affective (attitudes, motivation, self-confidence), and behavioral (interaction skills with AI technologies). While internal variables (teacher attitudes, TPACK) strongly positively impact AI integration (β = 0.791), external variables (government policies, technological infrastructure, community involvement) indirectly impact AI usage via internal variables (β = 0.217). Less than a third of teachers (28%) currently adopt AI in teaching, whereas the majority (82%) stick to conventional instructional techniques. These results indicate that the readiness of students will not take place without ensuring the readiness of teachers and that both need to work in harmony with each other for internal capacity building and equal external support. The conclusion drawn from this study is that the level of readiness of elementary school students to adopt learning based on artificial intelligence has only started and that they are not consistent yet. The application of AI in elementary schools largely relies on enhancing teacher competencies, equal infrastructure, and developing policies that consider ethics, privacy, and social justice. More studies should be conducted concerning rural areas and tools to measure readiness in Indonesia.
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The Integration of Digital Interactive Whiteboards in Elementary School Education: A Literature Review Based on the TPACK Framework
This study seeks to analyze and synthesize the outcomes of previous studies about the implementation of PID in elementary education using the TPACK framework as a framework for analysis. This study is a review of scientific literature that analyzes ten scientific articles found in national and international scientific journals accessed via the Google Scholar, ERIC, and ScienceDirect databases. The technique utilized in analyzing the data involves collecting, coding, organizing, and synthesizing the information derived from the research. Based on the findings of this study, PK and TPK are identified as the most dominant dimensions of TPACK in the process of implementing PID in the classroom setting. On the other hand, TK and TCK were recognized as the weakest elements among the ten articles examined. It can be inferred from these findings that teachers are more at ease discussing instructional matters and integrating technology in their teaching methods, but still have issues in terms of technical proficiency in using devices and integrating technology in the curriculum content. In addition, it was also noted that teachers who used student-centered pedagogy effectively developed transformative TPACK, while teachers who utilized teacher-centered pedagogy failed to do so. Contextual knowledge (CK) has similarly been found to be an essential variable in moderating the effectiveness of PID implementation in various school contexts. In summary, the results obtained in this study prove that the effectiveness of PID implementation in elementary schools is not only contingent upon the presence of technology tools and their use in training sessions, but more importantly, the effective implementation of PID relies on the appropriate combination of all the seven TPACK components, especially TK and TCK, a student-centered instructional model, and careful considerations of the teaching and learning context. Finally, it is recommended that there should be more holistic, collaborative, and sustainable professional development programs for teachers, as well as future studies involving experimental and longitudinal research designs to investigate the effects of different TPACK training approaches in elementary schools.
Architecture-Driven Integration of Energy Harvesting in Resource-Constrained IoT Systems Using the Unified Architecture Framework (UAF)
As the use of resource constrained IoT becomes more prevalent, it relies more often on energy harvesting capabilities for sustaining autonomous operations in uncertain power environments. However, incorporating energy harvesting functionality poses challenges as a result of introducing strong interdependencies between energy generation, storage, operational behavior, security measures, and mission availability. Current methods for addressing the problem usually deal with these aspects on a component or subsystem level and therefore lack cross-domain interaction visibility and understanding, which results in an increased probability of integration errors. In this paper, we propose the architecture driven approach for energy harvesting integration by means of the Unified Architecture Framework (UAF). Instead of being considered separately, energy availability will be addressed as an architectural constraint at a system level in a meta-model driven environment. Through the instantiation of capabilities, operations, resources, security, and standards constructs within a semantic baseline, we show the ability to trace energy- security-mission dependencies across multiple domains. This paper describes how harvested energy variance affects system operations, communications, cybersecurity, capabilities, and system availability. The findings suggest that incorporating energy and cyber security principles in an integrated architectural framework can overcome the problem of fragmentation, enhance overall system reasoning, and facilitate energy-conscious joint design of functional and security-related features. The study provides a scalable architectural basis for the design and evaluation of secure IoT systems with energy constraints.
The Effect of Using BLAST (Basic Local Alignment Search Tool) on the Conceptual Understanding of Students on Evolutionary Concepts
This study aimed to determine the effect of using the Basic Local Alignment Search Tool (BLAST) on students' learning independence and conceptual understanding of evolution at the senior high school level. The research uses a quantitative approach with a weak experimental, one-group pretest-posttest design. The study population consists of Grade XII Science students at a public senior high school in Tangerang, Indonesia. A random sample of 70 students formed the experimental group. Data collection used non-test methods, such as questionnaires for learning autonomy and essay tests for conceptual understanding. The average learning independence score was 79.1, indicating high independence. The average concept understanding score was 57.9, categorized as sufficient. Data analysis for learning independence used the Paired-Samples Test, while concept understanding was analyzed with the nonparametric Wilcoxon test. Results showed the use of BLAST had a significant effect on improving students' learning independence and conceptual understanding, with a p-value of <0.001 < 0.05.
A Comparison of UAF and SysML-Based DODAF Implementations for Cybersecurity Architecture Modeling
IoT systems with constrained resources are moving towards energy harvesting to ensure sustainable and autonomous operations in resource-limited environments. Yet, incorporating energy harvesting in such a system involves intricate dependencies between energy production, energy storage capabilities, system operation, security controls, and availability considerations at a mission level. Current practices focus on analyzing the mentioned dependencies for individual components/subsystems without accounting for potential cross-domain effects, thus leaving open room for potential errors in system-level integration. In this paper, we propose an architecture-driven approach for integrating energy harvesting based on the Unified Architecture Framework (UAF). Energy availability is considered from the perspective of a system-level architectural constraint within a framework based on a meta-model, instead of being just a design consideration. Capabilities, operations, resources, security, and standards-related concepts are materialized within a common semantic baseline to enable cross-domain traceability of the dependencies between energy, security, and missions. Variability in the energy produced by the energy harvesters propagates through operations, communications, and security controls up to capabilities realization and availability. This technique takes advantage of the relationships between domains provided by the UAF Domain MetaModel to achieve structured dependency propagation and systematic trade-space analysis between domains. It is clear from the findings that integrating energy and cybersecurity elements into a single architectural framework helps minimize fragmentation in integration, enhances system-level reasoning, and facilitates energy-conscious co-design of operations and security functions.