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The demand for real-time performance monitoring in the Industry 5.0 era encourages organizations to adopt integrated approaches to management control systems. This study aims to develop and validate a Balanced Scorecard (BSC)-based performance evaluation model integrated with computerized accounting systems to enhance managerial decision-making quality. The research employs a Research and Development (R&D) approach, following systematic stages of model development including needs analysis, system design, prototype construction, and expert validation. Primary data were obtained from three management accounting experts and two information system practitioners who evaluated the model using five key criteria: accuracy of key performance indicators (KPI), ease of use, indicator relevance, data visualization quality, and implementation feasibility. The findings reveal that all criteria achieved average scores above 4.0 on a five-point scale, indicating a high level of expert consensus and confirming the model’s conceptual validity. The highest scores were recorded for KPI accuracy (4.5) and implementation feasibility (4.4), demonstrating the model’s potential for real-world application. The novelty of this study lies in its integration of BSC metrics with real-time accounting data processing through the R&D approach, resulting in a systematic framework for performance monitoring. Future research is recommended to enhance dashboard interactivity and conduct field implementation testing to measure the model’s impact on decision-making quality.

This article discusses the issue of poverty in Kalimantan Island, Indonesia, with a focus on the analysis of poverty data from 2019 to 2024. Despite Kalimantan's wealth of natural resources, economic disparities and uneven distribution remain significant challenges. This research uses data from the Central Statistics Agency (Badan Pusat Statistik) to demonstrate the impact of the COVID-19 pandemic, which caused an increase in the number of people living in poverty due to income reductions and job losses. By utilizing Microsoft Excel, data visualization is employed to present information clearly and concisely, making it easier to understand the poverty situation in the region. The findings of this research recommend that poverty alleviation policies be more focused and data-driven, and encourage further research to understand the factors influencing poverty. It is hoped that this article will provide valuable insights for the development of policies and poverty alleviation efforts in Indonesia, particularly in Kalimantan Island.

This analysis uses the Wimba Method and Visual Language Expression System to examine the visual language of the Goddess Parwati statue. Using a qualitative descriptive research method with a historical background to obtain a description of the creation that is appropriate to the period of its creation. Viewed from the visual language approach, several general things are obtained regarding the Goddess Parwati statue, namely: (1) Iconography aspect: identifying and describing all elements of the Goddess Parwati statue; (2) Historical aspect: The Goddess Parwati statue was discovered in the 14th century. The initial location of the discovery was at the BHRE Kahuripan Site, Panggih Village, Trowulan District, Mojokerto Regency, East Java. (3) Visual language aspect: Seen from the combination of naturalistic-stylized depiction methods using decorative methods. The data analysis model used is an interactive model analysis carried out by collecting data, reducing data, presenting data, and drawing conclusions/verifying data. The study of the contents of the wimba shows that there are various types of jewelry depicted on the Goddess Parwati statue as supporters of the statue's identity.   Keywords:  Visual Language, Statue of Goddess Parvati, Iconography, Wimba and Phraseology, Qualitative Descriptive Method  

This research aims to improve the understanding of Fiqh subject on mandatory bathing material for fourth-grade students at MI At Thayyibah Banjar Regency through the implementation of the Student Teams Achievement Division (STAD) cooperative learning model with audiovisual media integration. The research subjects were 15 fourth-grade students consisting of 8 male and 7 female students. This study used a classroom action research approach with the Kemmis and McTaggart spiral model conducted in two cycles. Data collection techniques included participatory observation, comprehension tests, semi-structured interviews, and documentation. The results showed a significant improvement in student understanding, marked by an increase in classical mastery percentage from 40% in the pre-cycle to 67% in the first cycle and 87% in the second cycle. The class average score also increased from 68.7 in the pre-cycle to 75.8 in the first cycle and 83.2 in the second cycle. Student learning activities increased from 39.2% in the pre-cycle to 65.4% in the first cycle and 85% in the second cycle. The implementation of the STAD cooperative learning model with audiovisual media proved effective in improving student understanding through creating a collaborative learning environment, concrete material visualization, and active student involvement in knowledge construction. This research provides important implications for developing more innovative and contextual Fiqh learning strategies at the Islamic Elementary School level.

This study evaluates the effectiveness of using infographics in conveying environmental issues, such as waste management and climate change. Quantitative methods were used to measure the level of public understanding before and after exposure to infographics. The findings show that attractive and simple data visualization significantly increases public knowledge and awareness of the importance of environmental conservation.

This research evaluates the effectiveness of the YouTube platform as a video sharing medium for learning video editing practices at Sekolah Tinggi Multi Media Yogyakarta (STMM). Video sharing platforms such as YouTube have a significant role in supporting independent learning, enabling flexible access to material, and giving students opportunities to develop editing skills. This research data was obtained from questionnaires and in-depth interviews with students enrolled in the Video Editing course at STMM Yogyakarta. The research results show that YouTube plays an effective role as a supporter of independent learning and a complement to face-to-face learning, but does not completely replace direct interaction with lecturers. Using YouTube also faces several obstacles, such as limited internet connection, limited appropriate content, and dependence on visualization without in-depth theoretical understanding. This research recommends optimizing video curation, integrating discussion platforms, and regular monitoring and evaluation.

Geoboard digital as an interactive educational tool to impart the principles of geometry in elementary school mathematics education. The primary objective of this study is to assess the efficacy of integrating geoboardDigital as an interactive learning medium for teaching geometry concepts in elementary school, while also evaluating the impact of its usage on students' comprehension and visualization skills in geometry. Additionally, it aims to compare the effectiveness of geoboardDigital with traditional methodologies in geometry education, as well as assess student response and engagement levels when utilizing geoboardDigital. Employing a qualitative descriptive approach, this research delves into how the integration of technology such as geoboardDigital enhances understanding and student engagement in geometry education. Data collection is carried out through observation, interviews, and field notes, with data triangulation methods utilized for analysis. The findings of this study demonstrate that the application of geoboardDigital effectively enhances students' visualization and comprehension of geometric concepts through its interactive functionalities. Interview results indicate that students find geoboardDigital to be easily accessible and engaging, particularly in creating geometric shapes using pins and virtual ribbons.

The increasing demand for efficient data management in higher education has highlighted the need for advanced information systems that support research and community service activities. At Universitas Jambi, the Sistem Informasi Penelitian dan Pengabdian kepada Masyarakat (SIMLPPM) is the primary platform for managing research data. However, its usability remains limited due to restricted accessibility, unstructured data categorization, and inadequate visualization tools. This study aims to enhance SIMLPPM by developing an interactive dashboard to improve data presentation, user trust, and decision-making efficiency. The research employs the Human-Organization-Technology FIT (HOT-FIT) model to evaluate user satisfaction and system effectiveness by surveying 128 faculty members. The findings indicate that leadership support, organizational structure, and facilities significantly influence user satisfaction and system adoption, while information and service quality have minimal impact. The study underscores the importance of system usability and administrative support over purely technical attributes. Future research should explore AI-driven analytics and expand the evaluation across multiple institutions to enhance data accessibility and user engagement in research management.

Admission of new students to an educational institution is an activity that is always carried out every new academic year, where prospective new students always increase from year to year (Muwardah and Pramunendar, 2015). Admission of students can be held from elementary to middle school, from middle school to high school / vocational school. The focus of this research is the registration of new students at SMK. As is known, SMK is a Vocational High School or abbreviated as (SMK) and where there are many majors provided which ultimately makes prospective new students confused about which major is right for them because will take a long time.. Based on C4.5 as a Classification Algorithm: C4.5 is a popular algorithm for building decision trees. It works by dividing a dataset into smaller subsets based on attribute values, thus forming an easy-to-understand tree structure. Classification results using decision trees provide a clear visualization of the decision-making process and the variables that contribute to student choices.

Big Data Analytics has gained significant popularity in recent years, with many companies integrating it into their information technology roadmaps to enhance business performance. However, surveys indicate that Big Data Analytics demands substantial resources, including technology, costs, and talent, which often leads to failures in the initial stages of implementation. This study proposes a VGG6 architecture approach, intended to provide a framework for the initial implementation of Big Data Analytics. The study's outcomes include the implementation of the VGG6 architecture for processing images of aromatic plants using Python. Furthermore, this approach enabled the development of a Minimum Viable Product (MVP) solution that adheres to general Big Data principles, such as the 3Vs (Volume, Velocity, and Variety), and encompasses key technological components: 1) Data Storage and Analysis, 2) Knowledge Discovery and Computational Complexity, 3) Scalability and Data Visualization, and 4) Information Security.

Combinatorial optimization is a fundamental area in operations research and computer science, focusing on identifying optimal solutions from a finite set of possibilities. This study explores the integration of branch and bound methods with heuristic algorithms to address optimization problems in graph theory and discrete mathematics. Python was employed for algorithm implementation due to its flexibility and comprehensive computational libraries, enabling efficient data analysis and visualization. Several benchmark problems were examined, including the Traveling Salesman Problem (TSP), Minimum Spanning Tree (MST), and Graph Coloring. Simulations were conducted using datasets of varying sizes (small, medium, and large) to evaluate performance across different scales. The results demonstrate that the hybrid approach achieves a balance between solution quality and computational efficiency, outperforming brute-force methods in terms of speed while maintaining near-optimal accuracy. Tabulated results and graphical comparisons highlight the reduction in computation time and improved scalability of the proposed method. The findings suggest that combining systematic search strategies with heuristics offers a practical and effective framework for solving complex combinatorial optimization problems. Recommendations for future research include testing scalability with larger datasets, incorporating advanced metaheuristics, and applying the approach to real-world domains such as logistics and network design.

This research aims to develop a flipbook-based electronic module as a learning aid to improve students' abilities in solving mathematical problems on the topic of root forms. This module development method follows a learning design approach that focuses on interactiveness and visualization of complex mathematical concepts. The research was conducted involving class XI students in a high school as test subjects. Data collection was carried out through tests of mathematical problem solving abilities before and after using the module, as well as structured interviews with mathematics teachers and students. The results showed that the use of a flipbook-based electronic module significantly improved students' understanding of the concept of root forms and their ability to solve related mathematical problems. The implication of this research is the importance of integrating technology in mathematics learning to improve effectiveness and student learning outcomes.  

This research aims to determine the extent of the role of parents as liaison in the Luwuk Stasi family, Bunter Stasi Parish. Joan Don Bosco Sampit. In this research, parents become the main teachers in the family to strengthen the relationship between children and parents through good and smooth communication. The method used in this research is qualitative descriptive research with data collection techniques using observation, interviews and documents. The data analysis technique for this research uses the Miles and Huberman analysis technique which is divided into three stages, namely data reduction, data visualization (data research), and drawing conclusions/verification (drawing conclusions). The informants used in this research were 5 parents and 4 children. The results obtained from the research conducted by the author show that the role of parents in supporting family relationships at Luwuk Bunter Station is carried out well. A parent's role as a school principal is often to provide feedback and guidance to their children, such as encouraging them to pursue their dreams.

This study investigates the trends, contributions, and impact of research in the field of Education for Sustainable Development (ESD) in science learning through a bibliometric analysis of Scopus data. The Bibliometrix R package was used as the primary tool for analysis, with visualization supported by Microsoft Excel. The analysis reveals consistent growth in research output, with Indonesia identified as the leading contributor and Universitas Pendidikan Indonesia as the top-performing institution. Based on significant publications in high-impact journals, the most influential author is Ingo Eilks. The study recorded publication peaks in 2022 and 2024, possibly driven by the increasing urgency to address sustainability issues. The findings highlight the importance of international collaboration and continuous adaptation to emerging trends. These insights provide a comprehensive overview of research trends and impacts in ESD and offer straightforward directions for future research development, particularly in the context of global collaboration and responses to evolving sustainability challenges.

This research uses a qualitative methodology with field research as the main research design. Observation, interview and documentation methods were used in the data collection approach. Three analytical approaches were applied: data reduction, data visualization, and drawing conclusions. Research findings show that: 1) Students of SD N 2 Kapencar Kertek Wonosobo have sufficient understanding of the importance of religious moderation, this shows that they have understood the indicators one by one, starting from the values ​​of tolerance, non-violence and local values. cultural accommodation, and national values. Because they live in an environment and school that is slightly different from other places, children may appreciate the value of tolerance in everyday life. Apart from being enthusiastic and able to preserve long-standing cultural heritage, students are also open to differences in views and are able to live in harmony and harmony. support each other without discriminating between personal ideologies. 2) Efforts made by the Islamic Religious Education teacher at SD N 2 Kapencar Kertek Wonosobo to instill the value of religious moderation through the implementation of Friday worship, 5S (Smile Greeting and Greeting with Manners), direct teaching in class through debates and lecture formats. Acquire knowledge beyond the boundaries of the classroom. 3) Findings from observations and interviews show a number of contributing factors, ranging from the provision of school facilities to local communities and cultural diversity. Meanwhile, the obstacle is a lack of enthusiasm for learning when studying Islamic Religious Education.

The aim of this thesis is to: Explain how the Merdeka Curriculum is applied to the subjects of Islamic Religious Education and Character at Darunnajah Vocational School, Banjarmangu; and Provide an explanation of the design for the development of the Independent Curriculum in the subjects of Islamic Religious Education and Character at Darunnajah Vocational School, Banjarmangu.The author uses descriptive research with a qualitative approach and field research.  To collect data, this research uses observations, in-depth interviews (in-depth interviews), and documentation. On the other hand, the author uses data reduction methods, data visualization, conclusions, or verification in data analysis techniques which are carried out with the aim of facilitating understanding of problem phenomena that occur and providing solutions to problems.The results of the research show that the implementation of the Independent Curriculum in Islamic Religious Education and Character Education Subjects at Darunnajah Banjarmangu Vocational School has been carried out well. This starts with PAI teachers preparing themselves to apply learning, namely creating learning tools and learning flows, from initial, core, and closing. Students then carry out the Project for Strengthening the Pancasila Student Profile (P5) outside the classroom. At Darunnajah Banjarmangu Vocational School, the design for developing the implementation of the Independent Curriculum in PAI subjects is to take part in workshops, increase teacher creativity, and share to change the way of teaching to make it better.

The Allisa Cake business was founded by Mrs. Nora in 2016, a housewife located in Krapyak, West Semarang, Semarang City, Central Java. The products produced are cakes or bread which are marketed offline and online. However, online marketing has not met the expected targets, so appropriate promotional media is needed, in order to introduce the product to the public and to optimize promotional media. This research designs Instagram content that makes it easier to understand products and designs Instagram content that follows trends.The method used in this research is ADDIE developed by Dick and Carry, the development design with the ADDIE design aims to develop and validate the product. Meanwhile, the software used includes Corel Draw and Adobe Photoshop.Data collection was carried out by interviewing business owners, making observations and studying literature. After getting the data, create a product design and then apply it to the Instagram Feed design concept. The design stages are in the form of Thumbnail visualization, Tightissue and Final Design. The research produces Instagram content that contains information to make it easier to understand the product and the content design follows trends as the main promotional media.

Artificial Intelligence (AI) has been applied to many human endeavors, and epidemiology is no exception. The AI community has recently seen a renewed interest in applying AI methods and approaches to epidemiological problems. However, a number of challenges are impeding the growth of the field. This work reviews the uses and applications of AI in epidemiology from 1994 to 2023. The following themes were uncovered: epidemic outbreak tracking and surveillance, Geo-location and visualization of epidemics data, Tele-Health, vaccine resistance and hesitancy sentiment analysis, diagnosis, predicting and monitoring recovery and mortality, and decision support systems. Disease detection received the most interest during the time under review. Furthermore, the following AI approaches were found to be used in epidemiology: prediction, geographic information systems (GIS), knowledge representation, analytics, sentiment analysis, contagion analysis, warning systems, and classification. Finally, the work makes the following findings: the absence of benchmark datasets for epidemiological purposes, the need to develop ethical guidelines to regulate the development of AI for epidemiology as this is a major issue impeding it’s growth, a concerted and continuous collaboration between AI and Epidemiology experts to grow the field, the need to develop explainable and privacy retaining AI methods for more secured and human understandable AI solutions.

The aim of the results of implementing the data analyst capstone project in increasing visitors to Resort Hotels is to analyze the factors causing the decline in the number of visitors to Resort Hotels. The implementation of the data analyst capstone project to increase visitors at the Resort Hotel includes: identifying the main reasons for the decline in visitors, lack of general attraction or effective promotions, fluctuations in visitors every quarter, and imbalance between various visitor segments. Based on the results of the analysis, recommendations are provided to increase the number of visitors, such as re-evaluating the attractiveness of tourist destinations, adapting facilities and services to visitor needs, collaborating with other local businesses or events, and implementing membership or reward programs. Research methods include understanding business and data, data collection, data cleaning, exploratory data analysis, data visualization and making recommendations based on analysis results. It is hoped that the results of this implementation can help Resort Hotel managers in developing strategies to increase the number of visitors.

The rapid urbanization and industrialization of cities have significantly contributed to the rising pollution levels, especially in urban rivers, where water quality is often compromised. Monitoring water quality in real-time is essential for mitigating the adverse effects of water contamination. This research aims to design and implement an Internet of Things (IoT)-based system for real-time monitoring of water quality in urban rivers, focusing on the continuous collection and analysis of environmental data. The system utilizes a range of sensors to measure critical water quality parameters, including pH, temperature, dissolved oxygen (DO), turbidity, and various contaminants, all of which transmit data wirelessly to a central server for further processing. The study evaluates the accuracy, reliability, and efficiency of the IoT system in detecting water pollution and its ability to deliver real-time insights. Findings demonstrate that the IoT system offers a higher level of precision and faster detection compared to conventional monitoring methods, making it an effective tool for real-time pollution detection and decision-making. Additionally, the integration of the IoT system with a user-friendly visualization platform enhances the accessibility of the data for stakeholders, enabling them to monitor the water quality effectively. The study suggests that IoT-based water quality monitoring systems present a sustainable long-term solution for urban water management, offering cost and time savings. Moreover, the research highlights the importance of cross-sector collaboration to support the development and deployment of IoT technologies and recommends further advancements in sensor technologies to monitor additional water quality parameters.