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The sign system in public spaces functions as a visual communication tool and shapes people's experiences and perceptions. The objectives of this study are; 1) to identify the types of signs found in shopping centers; 2) to analyze the function and role of these signs in supporting activities and social interactions in shopping centers; and 3) to explain how these signs influence visitors' perceptions and experiences. The research method used is descriptive qualitative with research stages including literature study, determining the location of the study, data collection, data analysis using Peirce's semiotic theory, data validity testing, and drawing conclusions. Data collection techniques are carried out through observation and documentation stages. The results of this study found that the visual sign system in the Ramayana Teladan Medan shopping center is classified into several categories of signs according to Charles Sanders Peirce's semiotic theory, such as Rhematic Indexical Legisign, Dicent Sinsign, Qualisign, and Iconic Legisign. Visualization of signs—whether through images, colors, or text—can influence visitors' understanding and behavior, for example by increasing alertness, compliance with rules, or perceptions of safety and comfort.

Colon In Loop examination is an important radiographic procedure in the evaluation of Hirschsprung cases in pediatric patients. At Brebes Regional Hospital, there are differences in procedures compared to existing literature, especially in the method of administering contrast media and the projections used. This study aims to review and examine the Colon In Loop examination procedure in pediatric patients with Hirschsprung cases at Brebes Regional Hospital. This study uses a qualitative descriptive approach with a case study method. Data were collected through observation, interviews, and documentation involving three radiographers and one radiologist as research subjects. Data analysis techniques were carried out through data reduction, data presentation, and drawing conclusions. Results Colon In Loop examination in pediatric patients at Brebes Regional Hospital was performed without any special preparation for the patient. Contrast media was used with a stepwise method, namely 50cc in the first stage and added 50cc in the second stage. The projections used included AP (Antero Posterior) and AP oblique to overcome visualization limitations. The Colon In Loop examination procedure at Brebes Regional Hospital differs from the literature regarding the method of contrast media insertion and additional projections. This provides better visualization for Hirschsprung's diagnosis in pediatric patients.

This study aims to map trends, patterns, and scientific developments related to sharia compliance in Islamic financial institutions through a bibliometric approach and network visualization using VOSviewer software. The data analyzed amounted to 409 scientific journal articles obtained from international databases during the 2019-2024 period. The analysis was conducted using quantitative methods for bibliometric data mapping and qualitative methods for literature review. The results showed a significant increase in the number of publications discussing sharia compliance, with five main clusters of interrelated topics, such as implementation, sharia governance, financial performance, the role of the Sharia Supervisory Board, and sharia principles. The findings show that compliance with sharia principles is an important aspect in maintaining the credibility and sustainability of Islamic financial institutions, although its implementation still faces various challenges, such as limited human resources and competitive pressures with conventional institutions. This study is expected to serve as a basis for further research and strategic input for regulators and industry players in strengthening the Islamic financial system.

Digital learning applications like HeyJapan are increasingly popular. User reviews on platforms such as Google Play Store contain valuable information on user perceptions and experiences. To process this information systematically, this study employs a Natural Language Processing (NLP) approach to analyze sentiment toward the HeyJapan application. Data was collected using web scraping techniques with Python and the google play scraper library, resulting in 1,000 latest user reviews. The analysis included data collection, preprocessing, sentiment labeling using TextBlob, visualization, modeling with Logistic Regression, and evaluation. After preprocessing, 923 valid reviews were classified into three sentiment categories based on polarity which are positive, neutral, and negative. Results showed 71.4% of reviews positive, 26.1% neutral, and 2.5% negative. Visualizations in pie charts and word clouds provided an overview of user perceptions. Modeling with TF-IDF and Logistic Regression achieved 88% accuracy with the highest f1-score in the positive sentiment category. Evaluation indicates the model is fairly reliable in classifying sentiments, especially for positive and neutral categories, though negative sentiment classification needs improvement. This study shows the NLP approach can evaluate user perceptions of educational applications based on reviews and serve as a basis for improving foreign language learning app quality.

The use of GeoGebra-assisted interactive e-modules in mathematics learning has great potential to improve students' concept understanding through dynamic and interactive visualization. This study aims to provide a bibliometric review of 20 publications over the period 2018-2024, with two main focuses: (a) reviewing the growth trajectory of studies on the use of GeoGebra in interactive e-modules; and (b) identifying the themes and topics that appear most frequently in related publications. The study was conducted using bibliometric methods on 20 selected publications during 2018-2024. Data was obtained from Google Scholar using the Publish or Perish application and analyzed using VOSviewer. The results show an increasing trend of publications since 2021. Themes such as mathematical representation and interactive learning dominate, while topics such as media validity and integration in learning models are still rarely discussed. These findings provide an important basis for the development of technology-based learning media as well as a direction for future research to be more focused and innovative. This study supports the development of technology-based digital learning media.

This study aims to analyze the trends and development of research related to the use of Geogebra in improving the understanding of the concept of revival with a bibliometric approach. Data was collected from the Google Scholar database using the Publish or Perish (PoP) application in the 2020-2025 time span. The initial identification results found 393 documents, which were then filtered to obtain 11 documents worthy of analysis. The analysis was conducted with the help of VOSviewer software to map keywords, annual trends, and research topic density. The results showed that the number of publications increased significantly since 2021, with peaks in 2022 and 2023. Network, overlay, and density visualizations show that the topic of Geogebra usage is growing and diversifying, with a focus on interactive learning models, student abilities, and visual understanding of the concept of congruence. This research makes an important contribution to literature mapping and opens up opportunities for further research in the field of mathematics education technology.

As business complexity and global competition intensify, the limitations of traditional cost accounting systems in providing relevant information for strategic decision-making become increasingly apparent. This has driven the adoption of Activity-Based Costing (ABC) and subsequently Activity-Based Management (ABM), which have evolved as vital tools to accurately allocate costs based on activities and transform this information into value-enhancing and efficiency-improving strategies. This study aims to map the landscape, influence, and visibility of ABC and ABM publications through a comprehensive bibliometric analysis using VOSviewer. The research method involves a Systematic Literature Review (SLR) for data collection and screening from 488 publications (2023-2025) indexed in Scopus from Google Scholar, followed by data analysis and visualization of co-authorship and keyword co-occurrence networks. The analysis results show the dominance of core concepts such as "activity-based costing/management," "activity," "costing," and "management" as the foundation of research. Identified thematic clusters include the basic applications of ABC and its impact on performance, managerial aspects of ABM, efficiency, and the challenges and benefits of implementation. Temporal trends indicate a shift in the focus of recent research towards the strategic and managerial contributions of ABM/ABC in enhancing efficiency, supporting decision-making, and driving organizational performance. Density visualizations confirm research "hotspots" in these areas, while also highlighting potential research gaps for the future. The conclusion demonstrates the continuous relevance of ABC and ABM as adaptive cost and performance management tools, as well as the evolution of the discipline continually adapting to modern business's strategic needs, guiding researchers and practitioners for further exploration.

Social media, particularly Instagram, has become a strategic medium for government institutions to disseminate policy-related information to the public. This study aims to analyze how visual elements are applied in educational infographic content on the Instagram account @ditjentataruang, specifically in the January 2025 edition, using the theory of visual hierarchy. A qualitative descriptive method was employed, with data collected through visual observation, in-depth interviews with the content designer, and documentation. Four infographic posts were selected as the subjects of analysis, each examined based on elements of color, typography, layout and composition, and visual imagery. The results indicate that the use of visual elements in the infographics is not arbitrary, but designed with a clear visual communication strategy. Green is consistently used as the institution's visual identity and a marker of visual stability. Typography is structured hierarchically to guide the reading flow, and layouts are designed using Z or C patterns to direct audience attention. In addition, visualizations such as icons and photographs are used to reinforce messages and create concrete context. These findings are strengthened through data triangulation involving observation, interviews, and supporting theories, confirming that the infographic content by the Directorate General of Spatial Planning applies the principles of visual hierarchy consciously and strategically in delivering public information.

Education in the modern era faces major challenges in developing students' understanding and creativity amidst limited resources and time. One potential solution that can improve the quality of learning is the mindmapping method, which is known to help students organize ideas and information visually, thereby improving their understanding and creativity. This study aims to explore the effectiveness of using mind mapping in learning, with a focus on its influence on students' understanding of the material and creativity. The method used in this study is a qualitative approach with library research, where data is obtained from journal articles, books, and other relevant sources that discuss mind mapping in the context of education. The results of the discussion show that mind mapping has proven effective in facilitating students' understanding of the concepts taught and stimulating their creativity in solving problems. By using visualization techniques, students can connect various ideas and information that were previously separate. The conclusion of this study confirms that mind mapping is an effective method for improving students' understanding and creativity, and can be applied in various learning contexts to support students' cognitive and creative development. This study also provides recommendations for educators to integrate mindmapping into their teaching methods.

The role of administrative staff in Islamic boarding schools is very central in ensuring the smooth functioning of the institution. One of the important competencies that need to be possessed is statistical literacy, which includes the ability to understand, process, and present data systematically. The purpose of this PKM activity is to improve the knowledge and skills of administrators in applying statistics to administrative management. With an understanding of concepts, insight into the application of statistical concepts, accuracy of interpretation of statistical results, and visualization and communication skills of statistical analysis results. This community service activity is carried out through workshops and intensive mentoring. The results of this activity indicate that efforts to improve the knowledge and skills of partners in managing student administration through strengthening statistical literacy have gone well and provided quite optimal results, especially in the indicators of skills in calculating and visualizing data.

This study examines trends in scientific publications on digitalization from 2014 to 2024 published in Scopus-indexed journals worldwide. Data were collected from the Scopus database on October 6, 2024, at 21:56 WIB using the keywords "Digitalization" and "Public Services." A total of 593 documents were found in various categories, including titles, abstracts, and keywords. To analyze these documents, the authors employed the VOSviewer program (version 1.6.17), which enables the visualization of relationships in research data. The search analysis on document results was used to complete the data collection process, followed by detailed data analysis. The research data was analyzed through infographic mapping, which visualized research developments and document mapping on various aspects such as affiliations, countries, subject areas, and types of publications. This analysis revealed significant correlations among studies focused on the digitalization of public services. The findings show that research on the digitalization of public services from 2014 to 2024 has consistently grown year after year, with 593 published documents discussing the issue across different countries. The Russian Presidential Academy of National Economy and Public Administration emerged as the most active affiliation, publishing 14 documents on the topic. The Russian Federation ranked first in scientific publications, contributing 83 documents indexed by Scopus. In terms of subject areas, the study highlighted the growing importance of digitalization in enhancing public services globally. The VOSviewer analysis revealed strong connections among studies in this field, further emphasizing the rising global focus on digitalization in public administration and governance. These trends reflect the growing significance of digital tools and technologies in improving the efficiency and accessibility of public services worldwide, signaling an ongoing and expanding area of academic and policy interest.

The interaction between genetic and environmental factors plays a crucial role in determining phenotypic traits in organisms. This study aims to analyze these interactions using computational approaches, including statistical models and machine learning algorithms. The data used include genetic factors (genotypes) and simulated environmental factors. Results indicate that machine learning models such as Random Forest can detect interaction patterns with high accuracy, as demonstrated by significant R² values. Additionally, heatmap visualizations provide deeper insights into the non-linear effects of genetic-environment interactions. This study highlights the potential of computational methods in exploring complex interactions, with broad applications in health, agriculture, and biotechnology.

The protection of personal data privacy rights has become a crucial issue in the digital age. This research aims to analyze the effectiveness of digital applications in increasing public awareness regarding the importance of personal data protection and its legal implications. The research method employed is a literature study with a normative juridical approach, analyzing relevant laws and regulations on personal data protection, literature studies, and an analysis of the features of digital applications that focus on privacy education and control. The results of the study indicate that digital applications have significant potential in raising public awareness through the provision of easily accessible information, visualization of risks, and consent control mechanisms for data usage. However, their effectiveness heavily relies on intuitive interface design, clear and concise information delivery, and developers' compliance with personal data protection principles. This research recommends the need for more comprehensive regulations to ensure the quality standards and accountability of digital applications in educating the public about personal data privacy rights, as well as encouraging collaboration between developers, the government, and civil society organizations to create a safer and more privacy-aware digital ecosystem.

This study aims to analyze and visualize the distribution of COVID-19 cases in Indonesia throughout 2020 with a spatial-based quantitative approach. The data used was obtained from the official report of the Ministry of Health of the Republic of Indonesia as of December 30, 2020, including the number of confirmed cases, recovered, and died. The analysis was carried out by integrating clustering methods and Geographic Information Systems (GIS) using Quantum GIS (QGIS) software. The visualization results show significant spatial variations between provinces, where provinces with high population density such as DKI Jakarta, West Java, East Java, and Central Java are recorded as areas with the highest caseload. In addition, areas with limited health facilities also show a high potential risk of transmission and death. Cluster patterns of positive and cured cases generally show similarities, while mortality rates show spatial inequalities that are important to look at. These findings emphasize the importance of spatial data integration in area-based policy planning for pandemic control. Spatial visualization not only facilitates understanding of distribution patterns, but also supports more effective and targeted decision-making.

Efficient and accurate fuel management systems are becoming increasingly important as energy needs and operational complexity increase in various industrial sectors. This study aims to design and implement a fuel flow monitoring and control system using a variable control valve. This system allows real-time monitoring of the level and flow of fuel in the service tank on the ship, as well as automated control. In its implementation, ultrasonic sensors, control valves are combined with LM2596 connected to Arduino nano for data collection, analysis and visualization. The test results show that this system is able to provide accurate data on the flow and level of fuel in the service tank on the ship by displaying the measurement results on the LCD and providing warnings via a buzzer. The LCD display shows the reading of the fuel level and valve opening in the tank. At a fuel level of 0 - 25% the valve will open 100% and requires an average filling time of 25 seconds, At a fuel level of 25% - 50% the valve will open 75% and requires an average filling time of 27 seconds, At a fuel level of 50 - 75% the valve will open 50% and requires an average filling time of 30 seconds, At a fuel level of 75 - 99% the valve will open 25% and requires an average filling time of 32 seconds.

Pneumonia remains one of the leading causes of mortality among children under five years old worldwide. Population density is presumed to be one of the factors influencing pneumonia incidence, particularly in regions with high population growth and mobility, such as Bali Province. This study aimed to analyze the relationship between population density and pneumonia incidence among under-five children in Bali Province during the 2021–2023 period. This research was a descriptive quantitative study with a correlational design. Data on population density and under-five pneumonia cases were obtained from reports by the Bali Provincial Health Office and the Central Bureau of Statistics (BPS). Spatial visualization was performed using Epi Map version 7.2.5.0, and correlation analysis was conducted using R Studio. Descriptive analysis showed an increase in both population density and the number of under-five pneumonia cases in Bali Province during 2021–2023. Population density rose from 11,641 people/km² to 12,096 people/km², while pneumonia cases increased from 2,677 to 5,743. However, Spearman correlation analysis indicated no statistically significant relationship between population density and pneumonia incidence, with rho values of 0.5667 and p-values of 0.1206 for 2021 and 2022, and a rho of 0.2333 with a p-value of 0.5517 in 2023 (p > 0.05). No significant relationship was found between population density and pneumonia incidence among children under five in Bali Province.

This research aims to develop an interactive web dashboard to support data analysis for vending machine sales. The dashboard is designed to facilitate the management of large datasets through intuitive visualizations and interactive features such as filtering, searching, and pagination. The development process involves several stages, including data collection, data cleaning, analysis, visualization, web design, implementation, and deployment using GitHub Pages. Technologies like HTML, CSS, JavaScript, Chart.js, and Grid.js are utilized to ensure efficiency and accessibility. The results of the research show that the dashboard effectively presents key information, such as sales trends, best-selling products, and payment method preferences, thereby supporting more accurate and data-driven strategic decision-making. However, the research has limitations in integrating predictive analytics. Future development is recommended to include predictive algorithms and test system performance on large-scale data. This solution is expected to contribute significantly to optimizing vending machine management and serve as a development model for similar applications in other business sectors.

This research aims to address the challenges in sales data management and limited market reach faced by the Inegena Village-Owned Enterprise (BUMDes) in North Bajawa District, Ngada Regency, East Nusa Tenggara. The BUMDes produces and sells candlenut oil, a superior local product, but currently uses a manual sales and recording system (B2B and B2C), which leads to fluctuating demand, difficulties in sales data analysis, and decision-making that lacks valid data. To address these issues, a web-based e-commerce system was implemented. This system was designed using Agile methods, involving planning, implementation, software testing (black box testing), documentation, deployment, and maintenance. Furthermore, the Naïve Bayes algorithm was applied to visualize sales data and support better decision-making by classifying best-selling products, popular payment methods, and sales levels. The results of this research are expected to assist Inegena BUMDes in improving sales efficiency, expanding the market reach of candlenut oil products nationally. This system uses supporting software such as Xampp, PHP, and MySQL.

The objective of this project is to develop cost-effective antenna systems. The study utilized AutoCAD 2006 for data analysis and visualization. This article provides a detailed examination of various antenna systems, including cable/wire, log-periodic, array, helical, and aperture antennas. The research also explores several parameters related to antenna systems, such as effective length, antenna gain and directivity, active aperture, bandwidth, polarization, input impedance, power gain, radiation efficiency, radiation pattern, and radiation intensity. The main goal is to identify the challenges in designing cost-effective antenna systems for reliable communication. These challenges include design issues, contract management difficulties, fluctuating material prices, inaccurate estimations, limited wireless communication technology, and financial constraints. The study examines a wavelength range from 16.7 to 120, corresponding to distances from 10,000 km to 120,000 km. The findings show that at a frequency of 600 MHz, a wavelength of 16.7 units covered a distance of 10,000 km. Similarly, at 750 MHz, a wavelength of 53.3 units covered 40,000 km, and at 850 MHz, a wavelength of 94.1 units spanned 80 km. At 1000 MHz, a wavelength of 120 units covered 120,000 km. This study offers valuable insights into the design of cost-effective antenna systems and provides an understanding of the factors that influence their performance in practical communication scenarios.  

Based on the 2016-2020 Central Java Disaster Risk Assessment, floods and landslides are the most frequent disasters, with 818 flood cases accounting for 31.33% of the total disasters and landslides accounting for 29.57%. This study aims to cluster disaster-prone areas in Central Java using the K-Means algorithm and the GeoPandas library. Data on disaster events for the period 2019-2023 was obtained from the National Disaster Management Agency, while administrative map data of Central Java was downloaded from the Geoportal of Central Java Province. The research stages include data collection, data cleaning, standardization using the Standard Scaler method, application of the K-Means algorithm for regional clustering, and visualization of results using GeoPandas. The results showed that Central Java was divided into four clusters, namely: cluster 0 (disaster-prone areas) includes 3 regions, cluster 1 (non-disaster-prone areas) has 22 regions, cluster 2 (flood-prone areas) consists of 7 regions, and cluster 3 (landslide-prone areas) has 3 regions. The results of this research provide spatial data-based information that can be used as a basis in decision-making for disaster mitigation in Central Java.