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The global community is increasingly focusing on conservation. To combat pollution andresource wastage, modern technologies, like automation and AI are widely employed in environmentalprotection tools. This study delves into the utilization and advancement of automation and AI inenvironmental protection tools examining their real world applications across sectors like wastewatertreatment, air pollution control, solid waste management, metallurgy and energy supervision. Furthermoreit investigates the fusion of automation and artificial intelligence in the development of environmentalprotection tools. The study also addresses aspects such as data collection, performance monitoring,sustainable growth, prevailing challenges and future trends. Through an analysis it underscores thepotential of automation and artificial intelligence in enhancing environmental protection tools effectivenesstowards achieving sustainable conservation goals. Lastly recommendations for research are proposed todrive innovation and enhancement of environmental protection technology. This study aims to offerinsights and guidance for both research endeavors and practical applications, within the realm ofenvironmental protection technology.

This research was carried out with the aim of finding out how to calculate Trend  Analysis (Index Number Series Analysis) in PT Timah Tbk financial reports and how to explain the results of calculations using Trend Analysis (Index Number Series Analysis). The research approach uses a quantitative type using secondary data collected using documentation and literature study methods. By analyzing financial report data at PT Timah Tbk. The technique for collecting secondary data is carried out using documentation techniques. namely by collecting company financial reports from December 31 2020. 2021. 2022. 2023 and March 31 2024. Data is collected from the official IDX website. namely (www.idx.co.id) by downloading . The research results show that the financial trend analysis of PT Timah Tbk from 2020 to 2024 shows significant changes in various aspects of the company's finances. PT Timah Tbk succeeded in increasing its total equity. major challenges in maintaining revenue and cost efficiency led to a decrease in overall profitability. In research. researchers have an interest in time and knowledge. which results in less comprehensive research results and obtaining limited information.

The entry of K-Beauty trend in Indonesia has influenced the interest of skincare consumers in Indonesia. Indonesia. The local skincare market continues to grow every year leading to increased competition in the local cosmetic business in Indonesia. This study aims to examine how the influence of product quality, brand image product quality, brand image and Korean Brand Ambassador on consumer buying interest in local skincare products. local skincare products. The sampling method was carried out with the technique Non-Probability Sampling technique where data is obtained through distributing questionnaires to 250 respondents with the determination of the number of respondents using the formula. to 250 respondents by determining the number of respondents using the Lemeshow formula. Then the data analysis was carried out using multiple linear regression analysis multiple linear regression analysis with data processing carried out using IBM software SPSS version 23 which then the data is analyzed and the results of the research are obtained in the form of: (1) Product Quality has a positive and significant effect on consumer interest in local skincare products, (2) Product Image consumer buying interest in local skincare products, (2) Brand Image has a positive and significant effect on consumer buying interest in local skincare products. significant effect on consumer buying interest in local skincare products, (3) Korean Brand Ambassador has a positive and significant effect on consumer purchase intention local skincare products, and (4) Product Quality, Brand Image, and Korean Brand Ambassador together have a positive and significant effect on consumer buying interest in local skincare products. Ambassadors together have a positive and significant effect on consumer buying interest in local skincare products

Green Human Resource Management (GHRM) is a human resource management approach that is increasingly important in the context of organizational sustainability. Bibliometric studies highlight trends, patterns, and developments in GHRM research to provide insight into the contribution and evolution of this concept. This paper presents a bibliometric review of the GHRM literature, exploring research focus, methods used, and directions of development. Bibliometric analysis can help identify research gaps and provide a foundation for the development of more sustainable GHRM theory and practice in the future.

This research aims to analyze and determine the influence of the Korean wave, fan entrepreneurship behavior, and social media on entrepreneurial interest in the Armys.Luv community in Jambi City partially and simultaneously. This research uses a quantitative approach with an associative method. The population in this research were BTS fans in the Armys.Luv community in Jambi City with using a sample of 95 respondents. Research data was obtained by distributing research questionnaires online. The analysis tool used is the SPSS version 25 application. The research results show that the Korean wave, fan entrepreneurship behavior and social media have a significant partial and simultaneous effect on interest in entrepreneurship in the Armys.Luv community in Jambi City. It is known that there is a market share in the Korean wave sector, so it can be utilized as a business opportunity. So besides enjoy the work and culture and being a fan, it can also learn and get to know more about things that are currently popular and trending on social media at the moment so that can use as business opportunities.

Examination and test panscore is an important process in educational evaluation that aims to measure students' understanding and achievement in various areas of knowledge. However, the challenge of ensuring the validity and reliability of tests is often a major concern for evaluation instrument developers. This paper discusses the approach used in the examination and panscorer of the test to improve the validity and reliability of the evaluation results. This approach involves steps such as careful test design, development of quality test items, validity and reliability testing, and analysis of test result data. One of the important aspects of test checks is careful test design. This involves selecting a test format that is appropriate for the purpose of evaluation, as well as the preparation of instructions that are clear and understandable to students. In addition, the development of quality test items is also necessary to ensure that the test can accurately measure the desired knowledge and skills. This process involves thoroughly testing test items to ensure fit with the curriculum and fit with the desired level of difficulty. Once the test is designed and the test items are developed, the next step is to test the validity and reliability of the test. Validity refers to the extent to which a test can measure what it is supposed to measure, while reliability refers to the extent to which a test can produce consistent results over time. This testing can involve gathering data from a variety of sources, including statistical analysis and review by experts in the field. Finally, the analysis of test result data is an important step in understanding the evaluation results. It involves using statistical methods to identify patterns and trends in the data, as well as interpreting test results to make relevant conclusions about student achievement. By using this approach in examination and test pansora, it is hoped that the results of education evaluation can become more valid and reliable, thereby providing more useful information for education stakeholders.  

This research analyzes the song "Runtuh" popularized by two well-known indie musicians in Indonesia, Feby Putri and Fiersa Besari. The method used to analyze this song is using the Critical Discourse Analysis method which is used as a method to explore how the trend of independent music is being loved by independent music lovers, especially teenagers who have a connection to this song so that the song "Runtuh" has a very meaningful meaning and is able to understand the situation experienced by listeners, especially teenagers. Based on the comments on the music streaming platform, it shows that this song is not only a reflection of the songwriter's personal experience, but can represent the younger generation, especially teenagers who often feel marginalized by a situation. Furthermore, this research is expected to contribute to the role of the independent music scene in Indonesia in shaping identity among young people or teenagers.

The advent of Industry 4.0 has revolutionized the landscape of leadership, emphasizing the critical role of digital leadership in navigating technological advancements and organizational transformations. This comprehensive literature review explores the evolving concept of digital leadership within the context of Industry 4.0, aiming to synthesize current research findings, identify emerging trends, and highlight best practices. Through a systematic analysis of peer-reviewed articles, books, and conference papers from the last decade, this study examines the key attributes, strategies, and impacts of digital leadership on organizational performance and innovation. The review reveals that effective digital leaders exhibit a combination of technological proficiency, visionary thinking, and adaptive management skills. Furthermore, it underscores the importance of fostering a digital culture, promoting continuous learning, and leveraging data-driven decision-making to drive organizational success. By providing a holistic understanding of digital leadership, this study offers valuable insights for academics and practitioners seeking to enhance leadership effectiveness in the digital age. The findings underscore the necessity for organizations to invest in leadership development programs that align with the demands of Industry 4.0, ensuring leaders are equipped to lead in a rapidly changing technological environment.

Sales forecasting is a technique that companies use to predict future sales volumes based on previous sales data. This research aims to help UMKM  XYZ determine the optimal production amount to maximize profits, by using forecasting methods in planning mocaf flour production. The methods used include the Time Series model with Moving Average, Exponential Smoothing, and Trend Analysis, which are calculated using POM QM Windows software. The analysis results show that the Trend Analysis method is the most accurate for forecasting, with the smallest error value, namely MAD of 76.997, MSE of 8161.672, and MAPE of 6.02%. The smaller the error value, the more accurate the forecasting results. Therefore, the Trend Analysis method is recommended for forecasting mocaf flour sales in XYZ UMKM in 2024, with the production of 15,100 kg to avoid excess stock and dead stock in meeting consumer demand.    

In the era of rapid digitalization, understanding consumer behavior through data is becoming increasingly important for retail businesses. Shopping trends, such as those contained in this study, provide in-depth insights into various aspects of consumer behavior, from demographics to purchasing preferences and patterns of discount usage. This data is invaluable in formulating effective marketing strategies, improving customer experience, and optimizing business operations. The data used in this study included a variety of relevant variables, such as age, gender, location, product categories purchased, number of purchases, payment methods, and frequency of purchases. This information allows for a comprehensive analysis of how these factors affect consumer spending decisions. For example, analytics can reveal seasonal trends in purchases, product color and size preferences, and the impact of discounts and promo codes on sales volume. In addition, this dataset also reflects the changes in consumer behavior that have occurred over the past few years. Quantitative methodology is a research approach used to collect and analyze numerical data to understand patterns, relationships, and events in a given population. Data is collected from various sources such as online sales transactions, consumer surveys, Naive Bayesian algorithms are applied to the dataset that has been processed. The data was divided into two sets: training (80%) and testing (20%).    

Given the importance of working capital in firm dynamics, the main objective of this research is to highlight the main gaps and insights in the working capital literature and suggest future research, as well as to know the development trend of working capital management research published by leading journals. For this reason, a bibliometric analysis was carried out using bibliographic information from Scopus for the topic "working capital management." The method used in this quantitative research uses Bibliometric analysis. A quantitative analytic approach was used to analyze published studies from 1992 to 2022. The mapping software used was VOS Viewer and biblioshiny R to analyze the data obtained and visualize research trend data. The results of the analysis show that the development of articles with the theme of Working Capital Management continues to increase from year to year, although not constant and essential. The most published authors of articles on Working Capital Management are Karri, T. and Michalski, G. The United Kingdom is the country most cited. 2019 was the year with the highest number of publications on Working Capital Management. The International Journal of Recent Technology and Engineering is the highest source that occurs in 2019. Business, Management and Accounting are the most mentioned trending topics with a total of 38%.

Problems that still occur in the current condition of PT MASSINDO, which is located at Jalan Gatot Subroto no 23, Block 9, Semarang City, in the process of selling springbeds, still often experience fluctuations in sales of several types and types of springbeds which are influenced by the number of goods to be sold which do not match the number of sales, thus causing a lot of losses. Therefore, it is necessary to carry out an analysis process on sales that will occur in the coming period to increase the company's sales turnover and make cash turnover more stable. The method that will be used as a consideration for companies to stabilize sales of goods is the Trend Moment method.

Rohingya in Indonesia has become trending conversation on social media. Sentiment analysis can get public responds. Big data makes the problem time efficiency labeling process, therefore the lexicon dictionary is needed for the labeling process. Data is growing and circulating very rapidly so it takes a fast and efficient time. Although it is fast and makes it easier to solve problems, it is still necessary to question the accuracy produced when using the lexicon labeling. A comparison of the labeling process between the InSet lexicon and the VADER lexicon was conducted to determine the accuracy of the labeling. It was done by combining lexicon with machine learning method of support vector machine and TF-IDF weighting and accuracy result calculated using confusion marix. Data from social media X as many as 9117 lines and labeled with InSet lexicon result 5241 negative sentiments, 1369 positive, and 521 neutral. Then the labeling results with VADER produced 2749 positive, 2523 negative, and 1881 neutral. After labeled, processed SVM and calculated accuracy with results of InSet lexicon accuracy having an average of 85.8% while the VADER SVM lexicon has an average of 82.65%.  

World population conditions are the main focus in understanding global social and economic dynamics. This article reviews trends in world population in the last five years, taking into account population growth and the factors that influence it. Apart from that, the analysis also focused on the 10 countries with the largest population in 2023. An investigation was carried out into the causes of the high population in these countries and the resulting consequences, both from a social, economic and environmental perspective. By exploring the latest data and information, this article aims to provide a comprehensive picture of global population dynamics and its implications for the future.  

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.

In this study, bibliometric analysis using VOSviewer and Publish or Perish was employed to identify dominant trends in the analysis of community behaviors related to food waste. The analysis results indicate an increasing interest among researchers in understanding and addressing the social, cultural, and psychological factors influencing food waste behaviors within communities. There has been a paradigm shift in research emphasis from individual factors towards a more comprehensive understanding of the social and cultural contexts that affect food waste behaviors. This research focuses more on developing effective and sustainable food waste reduction strategies at the community level through promoting supportive policies, public education, social campaigns, and participatory approaches. In conclusion, this study contributes significantly to understanding the dominant trends in community behavior analysis related to food waste. The findings provide valuable insights for researchers and practitioners in further research development and assist in formulating policies and strategies for more effective community-level interventions against food waste, with a focus on the social and cultural factors influencing food waste behaviors.    

Digital transformation has become a major factor in accelerating growth and innovation in startups. This study aims to provide an overview of the evolution of digital transformation studies in startups globally, as well as propose future research directions to strengthen studies related to digital transformation in resilient startups. The method used was a systematic literature review with a bibliometric analysis and content analysis approach. The research protocol involved 29 articles collected from the Scopus database through a search using Publish or Perish, with the help of Excel and Mendeley for quantitative analysis of the sample and bibliographic management. Bibliometric analysis was conducted using Biblioshiny R Studio and VOSviewer software. Research on digital transformation (DT) in Start-up increased significantly from 2017 to 2024, with the highest number of publications reached in 2023. Through bibliometric analysis and science mapping, four main focuses of research were found, namely innovation, digital business models, digital technology, and digital transformation. In addition, the research also identified five key future trends in DT studies on startups, namely digital business innovation, sustainability, technology adoption, social innovation, and digital entrepreneurship.

This study aims to provide a bibliometric analysis of course-based undergraduate research experience from 2010-2023. Data were extracted from the Scopus database and analyzed using VOSviewer. A total of 67 related publications were analyzed and mapped. According to bibliometric analysis, course-based undergraduate research experience, inquiry-based learning, and upper-division undergraduate become the center of the topic in the study of course-based undergraduate research experience in chemistry. It also shows that collaborative/cooperative learning, discovery learning, problem-solving/decision-making, first-year undergraduate, organic chemistry, and chemical education research. are among the novel and emerging topics in course-based undergraduate research in chemistry. This research is expected to provide a better understanding of the challenges and opportunities of studying course-based undergraduate research experience in chemistry.

The rapid growth of healthcare services has significantly increased the generation of medical waste, posing serious risks to environmental and public health, particularly through water quality contamination. This study examines global trends in medical waste management and proposes a hybrid analytical framework combining bibliometric analysis using SCIMAT and predictive modeling based on artificial neural networks implemented in Orange. Bibliometric mapping was employed to identify dominant research themes, temporal evolution, and knowledge gaps in medical waste and water contamination studies from 2000 to 2023. Subsequently, a neural network model was developed to predict potential water quality deterioration associated with mismanaged medical waste, using simulated environmental indicators. The results reveal a strong research focus on incineration, infection control, and hazardous waste, while predictive modeling of water contamination remains underexplored. The proposed hybrid approach demonstrates high predictive accuracy and offers a robust decision-support tool for environmental health policy. This study contributes methodologically and substantively to sustainable medical waste management and water resource protection.

This research aims to analyze the changes in digital consumer behavior in the context of e-commerce business until 2024. Through a qualitative approach with a focus on literature studies, the analysis identifies factors that influence changes in digital consumer behavior, including increased online shopping activities, shifting purchasing preferences, the use of mobile devices, digital payment trends, data security and privacy, and the influence of social, cultural, and new technological factors. The analysis shows that consumers are increasingly demanding better user experience, flexibility in payment methods, and guaranteed data security and privacy. Meanwhile, new technologies such as artificial intelligence and collaboration with influencers also play an important role in influencing consumer behavior. Thus, the proposed suggestions include improving user experience, flexibility in payment methods, investment in new technologies, collaboration with influencers, and prioritizing data security and privacy. It is hoped that the results of this study can help e-commerce businesses to better understand the changes in digital consumer behavior and develop effective strategies in dealing with them.