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This study discusses the importance of creating a logo as a visual identity for Micro, Small, and Medium Enterprises (MSMEs) in increasing consumer appeal. A strong visual identity can strengthen brand image and differentiate MSME products from their competitors. Through a graphic design and visual communication approach, the logo is designed based on business characteristics and target market preferences. The results of the study show that a strategically designed logo can increase consumer trust, strengthen brand image, and provide added value to the product. Creating a logo as a visual identity has proven to be an effective step in supporting MSME marketing in a more professional and attractive way.

Advances in technology and computers are utilized in various fields of contemporary applications, especially in cryptography and data security in graph theory applications. By understanding the concepts of graph theory, researchers and developers can design cryptographic algorithms that are stronger, more efficient and resistant to attacks. One of the cryptographic applications that has been implemented is the XNOR algorithm. This algorithm has been applied to encryption and decryption as well as the use of stream ciphers. By using 64 bits, the XNOR algorithm can expand encryption and decryption capabilities and increase the security of encrypted data. In this research, an analysis was carried out regarding information encryption and decryption algorithms with the application and development of the XNOR gate logic circuit method in Boolean algebra and graph theory. This research uses the example of the word MATH, which can be changed into a code or password and vice versa to secure information that you want to keep secret. Apart from that, an analysis of the graph formation of each character in the word MATH was also carried out using Python which produced semi-Euler and Hamilton graphs  

This study is secondary data sourced from the publication of financial reports and annual reports on the website www.ojk.go.id. Hypothesis results Based on the phenomenon of ROA, NPL, LDR graphs showing fluctuating NPL and CAR results in the 2020-2024 period still show fluctuating results in the 2020-2024 period. The lack of openness, ineffective supervision carried out by the Institution on managers will result in financial manipulation by managers which will later affect the decline in the company's financial performance. Insufficient DKI supervision causes GCG not to run optimally. Weak DD performance is indicated by the absence of openness principles between DD and shareholders. The existence of fraudulent practices, one of which arises from the performance of the KA which is dishonest or not independent.

The development of AI has fundamentally transformed the professional ecosystem, creating a series of contemporary challenges for Generation Z preparing to enter the work arena. This study focuses on the development of motion graphic storyboards as an educational instrument to enhance Generation Z's employability capabilities for the AI era. Implementing a hybrid research methodology, data collection was conducted through digital surveys and in-depth dialog with experts to explore perceptions on the implications of AI on employment and the strategic competencies needed to adapt. The research findings indicate that Generation Z shows substantial awareness of the urgency of skills upgrading and transfer, although there is still a lack of clarity in understanding the concrete consequences of AI on future employment prospects. The motion graphic design developed presents an adaptive approach through an engaging storyline, narrative visualization, and interactive character elements, with an emphasis on the concepts of T-Shaped Skills and Transferable Skills. The research concludes that professional readiness in the era of AI digitalization requires not only technological understanding, but also adaptive flexibility, creativity, and synergy between human capacity and digital systems. Motion graphics were identified as the optimal medium to convey knowledge and strengthen Generation Z's position in anticipating future professional dynamics.

This paper explores the application of quantum-inspired optimization algorithms in the training of large-scale Graph Neural Networks (GNNs) within distributed cloud-edge environments. GNNs have gained significant attention due to their ability to model complex relationships in graph-structured data, yet their training presents challenges such as high computational demand, inefficient resource allocation, and slow convergence, especially for large datasets. Traditional meta-heuristic algorithms, while useful, often face scalability and performance issues when applied to such large-scale tasks. To address these challenges, we propose a quantum-inspired meta-heuristic algorithm that leverages quantum principles, such as superposition and entanglement, to enhance optimization processes. The algorithm was integrated into a hybrid cloud-edge system, where computational tasks are dynamically distributed between edge nodes and the cloud, optimizing resource utilization and reducing latency. Our experimental results demonstrate significant improvements in training speed, resource efficiency, and convergence rate when compared to traditional optimization methods such as Genetic Algorithms and Simulated Annealing. The quantum-inspired algorithm not only accelerates the training process but also reduces memory usage, making it well-suited for large-scale GNN applications. Furthermore, the system's scalability was enhanced by the hybrid cloud-edge architecture, which balances computational load and enables real-time data processing. The findings suggest that quantum-inspired optimization algorithms can significantly improve the training of GNNs in distributed systems, opening new avenues for real-time applications in areas such as social network analysis, anomaly detection, and recommendation systems. Future work will focus on refining these algorithms to handle even larger datasets and more complex GNN architectures, with potential integration into edge devices for enhanced real-time decision-making.

Micro, Small and Medium Enterprises (MSMEs) play a strategic role in the Indonesian economy, especially in job creation and income distribution. Despite this, many MSMEs face challenges in building a strong and professional brand image. One of the efforts to overcome these problems is through assistance in logo design. The logo serves as a visual identity that can strengthen the brand's position in the minds of consumers. This study aims to analyze the effect of logo design assistance on strengthening the image of micro businesses. The method used is a literature study of various scientific journals and community service reports in Indonesia that are relevant to this topic. The study results show that logo design assistance is able to increase brand awareness, consumer confidence, and encourage increased sales of MSME products. Thus, graphic design assistance programs such as logos can be an effective strategy in improving the competitiveness and sustainability of MSMEs in local and global markets.

Micro, Small and Medium Enterprises (MSMEs) play a strategic role in the Indonesian economy, especially in job creation and income distribution. Despite this, many MSMEs face challenges in building a strong and professional brand image. One of the efforts to overcome these problems is through assistance in logo design. The logo serves as a visual identity that can strengthen the brand's position in the minds of consumers. This study aims to analyze the effect of logo design assistance on strengthening the image of micro businesses. The method used is a literature study of various scientific journals and community service reports in Indonesia that are relevant to this topic. The study results show that logo design assistance is able to increase brand awareness, consumer confidence, and encourage increased sales of MSME products. Thus, graphic design assistance programs such as logos can be an effective strategy in improving the competitiveness and sustainability of MSMEs in local and global markets.

Color plays a crucial role in graphic design, especially in attracting audience attention on social media. This study aims to analyze the influence of certain colors on the level of audience engagement in health product advertisements. By collecting data from experiments involving a sample of social media users, this study identifies colors that are effective in increasing user interaction and visual appeal. The results indicate that certain colors can increase the effectiveness of visual communication in health product advertisements.

This study aims to produce animated video based learning media using the Canva application for class VII students of mts Miftahul Huda Karangsono Ngunut Tulungagung. Development is an effort carried out systematically to produce products toimprove skills and insights. Animated video learning media functions as a tool in the learning process that is intended to convey messages and can prooke students thoughts feelings and desires to learn. Canva is an alternative graphic desaign media that can be used in creating learning materials to create a more interesting and enjoyable learning process. The research uses research and development methods (Research and Development) with the ADDIE model. The subjects of the study were students of class VII MTs Miftahul Huda Karangsono Ngunut Tulungagung. Data collection techniques are feasibility data which includes validity, practicality, and effectiveness. Data analysis techniques include student needs analysis techniques, media feasibility, validity, practicality and media effectiveness. The results of research and development of animated video based learning media using the canva application showed positive result, the media was declared suitable for use. Based on the validity of media experts (80%) and material ezperts (96,1%), the media was also declared practical by teachers with questionnaire and observation results of (90%) and (87,5%). In terms of effectiveness, the media was able to improve student learning outcomes with classical completeness of 83,3% (small scale) and 85,71% (large scale), and received a positive response from students with a percentage of (92,4%) and (86,38%). Thus, the development of animated video based learning media using the canva application has proven to be feasible for use in the learning process. The validation results from media and material experts show a high level of validity, while the reesults of observations and questionnaires show that this media is practical for teachers to use and interesting for students. In addition, the effectiveness of the media is shown through increased student learning outcomes and high positive responses. Therefore, the development of animated video based learning media using the canva application can be an alternative in delivering material, especially in social studies subjects in class VII MTs.   

Graphology is a science that studies a person's personality and character through handwriting. This activity aims to introduce Sahid University Surakarta students to graphological analysis methods as a tool for understanding themselves and others. This seminar was conducted as part of a community service program, with a target audience of students and the general public. The method used in this service is the lecture method. The resource person also uses lecture and practice methods which are more effective and can be used in the community service process. The results of the activity showed that participants gained new insights into their potential and practical techniques to improve interpersonal understanding.

In the industrial world, especially energy companies are very vulnerable to increasing carbon emissions. Based on the graph managed by the Ministry of Environment and Forestry, it shows that the greenhouse gas emissions that contribute most are the forestry and energy sectors. So that in 2021 Indonesia has officially adopted a carbon tax policy by issuing Law no. 7 of 2021. The purpose of this study is to test and analyze the significant effect of Green innovation, Environmental, Social and Governance Disclosure and financial performance on the Value of corporations with carbon tax as a moderating variable and applying carbon performance as an intervening variable. The method in this study is to take samples by purposive sampling in the form of secondary data, namely financial statements and sustainability reports in 2021 to 2024 on the Indonesian stock exchange, with a sample of 27 companies. To determine the significance of results between variables, researchers use SEM-PLS 3 software. The results of this study are that financial performance has a positive and significant relationship to carbon performance with a t-statistic value of 3.497> 1.96, namely that increasing financial performance can affect carbon performance in reducing greenhouse gas emissions. for the next variable, carbon performance has a positive and significant relationship to company value by showing a t-statistic value of 2.596> 1.96 with the assumption that increasing carbon performance in reducing greenhouse gas emissions will increase the company's value and be trusted by investors and the public. And the last is that financial performance has a negative and significant relationship to company value with carbon performance as an intervening variable, this shows a t-statistic value of 1.994> 1.96, with increasing financial performance can affect carbon performance so that greenhouse gas emissions can be reduced and the company's value increases.

In a context where students face increasingly complex academic choices, this work proposes a recommendation system based on Bayesian networks to guide new baccalaureate holders in their university choices. Using a dataset containing variables such as secondary school section, gender, type of school, percentage obtained, age, and first-year honors, we have constructed a probabilistic model capturing the dependencies between these characteristics and the option chosen. The data is collected at the Catholic University of Bukavu, the Official University of Bukavu, and the Higher Institute of Education of Bukavu, preprocessed and then used to learn the structure via the hill-climbing algorithm with the BIC score using R's bnlearn tool. The model enables us to estimate the probability that a candidate will choose a given stream, depending on their profile. The approach has been validated using metrics such as BIC, cross-validation, and bootstrap and offers a good compromise between interpretability and predictive performance. The results highlight the potential of Bayesian networks in constructing explainable recommendation systems in the field of academic guidance. The system produces orientation probability maps for each candidate, which can be used by enrollment service advisers, as well as an ordered list of options relevant to the candidate's profile. With a remarkable performance on a test sample of precision@k=0.85, recall@k=0.61, ndcg=0.8, and Map=0.88, it constitutes an effective lever for reducing the risk of being misdirected in universities in South-Kivu, in the Democratic Republic of Congo

This research is motivated by the importance of evaluating Indonesian language textbooks in elementary schools to ensure they comply with the standards set by the National Education Standards Agency (BNSP).This research aims to describe the feasibility of the Indonesian Language textbook: Children Who Change the World for grade VI of elementary school based on the BNSP instrument, which includes aspects of content, language, presentation, and graphics. The approach used is descriptive qualitative with content analysis techniques on books published by the Book Center in 2022. The results of the study showed that the book obtained an average score of 80%, with the quality of content, language, and presentation being classified as good, although there were shortcomings in the cover and completeness of the book elements. This book is suitable for use with several improvements to increase its effectiveness as a teaching material.  

This study aims to analyze the suitability of sentence structure and vocabulary in chapter 6 of the Indonesian language textbook for grade 1 Elementary School issued by the Ministry of Education and Culture in 2023 based on the textbook eligibility standards of the Badan Standar Nasional Pendidikan (BSNP). With a qualitative approach explained by Sugiyono (2022), data was collected through various methods such as observation, interviews, and documentation, then analyzed in depth to find the meaning of the data, not just numbers. The analyze includes the appropriateness of content, the appropriateness of the language, the appropriateness of the presentation and the appropriateness of the display/graphics. The appropriateness of the content is considered appropriate and up to date. The appropriatenessof the language is still not quite right in the use of capital letters, italics, and punctuation, but overall it uses straightforward language. The appropriateness of the presentation can also be said to be interesting and complet. The appropriateness of display/graphics is also appropriate and the use of illustrations is appropriate. Overall, the Indonesian language textbook for grade 1, especially in chapter 6 "Temanku Berbeda" has met the criteria according to the eligibility of textbooks according to BSNP.

Interpersonal communication is a type of communication that is often encountered and used in daily activities. Likewise, this type of communication is used in the design creation process, especially in interactions between graphic designers and clients. In practice, graphic designers often face challenges in understanding client needs, processing ideas, and making creative decisions. Challenges that often arise in the design process include mismatching client expectations, inconsistent requests, misunderstandings in translating client needs into designs, as well as various other external challenges that can influence design results. Phenomenon in the field shows that designers often experience internal conflict when balancing creativity with client requests. Therefore, understanding the dynamics of intrapersonal communication in the design process is crucial in order to produce work that meets the client's expectations without sacrificing creativity and aesthetic value in a graphic design.

The spread of illegal cosmetics in Indonesia remains a concerning issue, particularly through digital platforms. One of the main contributing factors is the lack of public awareness and understanding regarding the differences between legal and illegal products. To address this challenge, animation-based media was chosen as an effective educational tool. This paper describes the implementation of motion graphic techniques in producing the animated video “Produk Aman, Kulit Nyaman”, which emphasizes the importance of using safe and legally approved skincare products. Motion graphics were selected for their ability to dynamically present visual elements, making the message more accessible to the audience. The editing process is divided into three key stages: material collection, assembly, and testing. Material collection focuses on systematic asset organization; assembly involves animating the assets using Adobe After Effects based on a structured storyline; and testing includes internal evaluation and informal validation by five female high school students as representatives of the target audience. This approach shows that motion graphics are not only effective in conveying educational messages but also contribute creatively to improving consumer literacy.

This study aims to describe the implementation of the Canva application in supporting the learning process at SDN 75 Kota Bengkulu. Canva is a digital graphic design application that offers ease in creating engaging and interactive learning media. The research employed a qualitative descriptive method with data collected through observation, interviews, and documentation. The subjects of the study included classroom teachers, students, and the school principal. The results showed that the use of Canva had a positive impact on enhancing teachers' creativity in designing teaching materials and increasing students' learning interest. Teachers were able to create more communicative and comprehensible visual materials, while students demonstrated higher enthusiasm during the learning process. Challenges encountered included limited technological facilities and initial unfamiliarity with the application, which were addressed through ongoing training and assistance. Thus, the implementation of Canva at SDN 75 Kota Bengkulu has proven effective in supporting more engaging, interactive, and contextual learning in the digital era.

This research aims to find out how Microsoft Mathematics can serve as a supporting media in developing students' mathematics learning. The Systematic Literature Review (SLR) method was used in this study by reviewing various relevant scientific articles published between 2020 and 2025. The researcher took 10 main articles to be thoroughly analyzed. The selection of literature was done through several stages, namely identification, screening, feasibility test, and data synthesis, using predetermined inclusion and exclusion standards. The results of the analysis showed that the use of Microsoft Mathematics can improve understanding of mathematical concepts, problem-solving skills, and learning motivation. In addition, due to its interactive features, such as equation solver, scientific calculator, and 2D/3D graphs, this program is considered effective in visualizing abstract mathematical concepts.

Canva learning media is an online learning platform for graphic design in various creative designs to facilitate its users such as designing posters, infographics and presentations. Not only for designing but can be used as a learning medium for teachers, students and schools in classroom learning. The purpose of this study was to determine the influence of perceptions on the use of Canva interactive media and students' learning interests on students' Mathematics learning outcomes at SMPN 2 Cianjur. This study uses a Quantitative Approach with the Survey method. The research design used is multiple linear regression analysis. The research sample was 35 students at SMPN 2 Cianjur. Based on the results of the research data analysis, 76% of responses were obtained based on the questionnaire distributed, respondents agreed that there was an influence of perceptions on the use of Canva interactive media and students' learning interests on mathematics learning outcomes.

Research on the preservation of local culture amidst globalization emphasizes the importance of a systematic educational strategy aligned with government policy. The main focus of this study is the role of educational institutions in introducing and maintaining the sustainability of Simalungun culture, considering that the cultural knowledge of the younger generation is declining due to modernization and the influence of the media. The research objective was to develop and evaluate SIMALOKA, an artificial intelligence-based framework with a teacher-in-the-loop approach that integrates Simalungun language, arts, rituals, and crafts into both formal and non-formal curricula. The method used combines natural language processing to tag content, a knowledge graph to map cultural concepts and skills, and a multi-objective optimization algorithm to develop balanced learning modules according to the cultural calendar. The system was tested using a dataset containing 1,850 cultural learning objects and produced modules with an average cultural coverage deviation of 3.4%, a content relevance score of 0.92, and an engagement rate of 87.1%, superior to two state-of-the-art baseline models. The results show that the combination of AI-based optimization and human validation can maintain cultural authenticity while significantly increasing student participation. These findings strengthen the hypothesis that context-sensitive, technology-based curriculum design can strengthen local cultural identity without neglecting educational policy demands. The study's conclusions confirm that SIMALOKA is a large-scale model that can be adapted to other local cultures, providing important implications for policymakers, educators, and cultural organizations in maintaining the sustainability of cultural heritage. Future research directions are directed at assessing long-term retention, resource constraints, and cross-cultural adaptation to make cultural preservation more inclusive and effective.