Information Analysis Techniques Research Articles

Getting to Know Democracy in the Primary School Environment

Education is a need for everyone. From time to time, education always experiences developments in a better direction, such as the implementation of educational democracy in learning which carries the concept of giving students freedom to express opinions, express objections, and also have equal opportunities without any distinction in terms of ethnicity, race and class. This research aims to determine the application of educational democracy in the student learning process in elementary schools. This research uses a literature study method where information is obtained from journals, articles, and sites available on the web and analyzed using a qualitative approach using information analysis techniques through four stages, namely searching for information, reducing information, presenting information, and drawing conclusions. The research results show that students are currently not only used as learning objects but also as subjects who are involved in discussions during the learning process. Therefore, it is hoped that masters will be able to create a democratic learning environment for students. Educational democracy is realized in democratic school learning, namely by involving all parties such as teachers, students and other parties involved in education (Zahrawati B, 2018).

Problems Related to Antibiotic Pollution of the Environment: A Review with a Focus on Tetracyclines

Introduction: One of the negative consequences of using antibiotics is the development of antimicrobial resistance. At the same time, the scale of impact of antibiotic pollution in the environment has not been determined so far. Objective: To analyze data on antibiotics in the environment and associated issues. Materials and methods: We used information analysis techniques based on collection and processing of scientific articles published in 2003–2023 and presented in such abstract databases as Scopus, Elsevier, and RSCI; Google Scholar keyword search was also done. The selection criterion was availability of information about measured concentrations of antibiotics in various environmental objects, routes of their entry, and adverse effects of antibiotic contamination. Fifty-three publications were found eligible for inclusion in this review. Results: Contamination of water and soil with antibiotics is almost similar to that with pesticides. Bacteria develop resistance to antibiotics due to subinhibitory concentrations of the latter, which are 200 times lower than the minimum inhibitory concentration. Some studies prove that exposure of soil to antibiotics causes a decrease in soil respiration and changes in its nitrification and denitrification rates. In Russia, the use of veterinary antibiotics grows by 40 % annually, while penicillins and tetracyclines remain the most popular classes. Antibiotics are easily adsorbed to soil particles, accumulate quickly and degrade slowly. The half-life of tetracycline, for instance, is about 500 days, and when soil levels of certain substances are low, the risk of antibiotics entering the food chain and plant products increases. Conclusion: The continuous release of antibiotics into the environment and their harmful effects on living organisms is a serious challenge, requiring further study in the context of ecological imbalance. Future research should also focus on developing and implementing methods minimizing the spread of antibiotic resistance genes.

Developing Website-Based Gamification Learning Media on Debate Texts in Indonesian Language Learning

This research and development is motivated by the lack of creative learning media in Indonesian language learning, especially in grade X high school debate text material. Therefore, there is a need to develop website-based gamification learning media that makes learning more creative and innovative. Until the researcher developed the Website-Based "Adventure of Gama" Gamification in Class to determine the feasibility of developing website-based "Adventure of Gama" gamification in class X high school debate texts, and (3) to determine the effectiveness of the gamification trials being developed. This research uses the Research and Development (R&D) research method, using the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) development procedure. In this research, the ADDIE development procedure. The subjects in this research were class X high school students The data collection technique and instrument used in this research is a questionnaire sheet, while the information analysis technique used is quantitative descriptive data analysis. The research results show that the learning media developed is in the "Very Good" category. This is proven by obtaining an average score of 85.2 and is suitable for testing to obtain an effectiveness test. The average obtained from material experts was 100, from media experts as much as 78.8, and teaching experts as much as 77. Based on these results, it can be concluded that research into the development of website-based "Adventure of Gama" Gamification in Class X High School Debate Texts was used as media. learning that can motivate students to follow the Indonesian language learning series, especially in debate material.

ПОРІВНЯЛЬНИЙ АНАЛІЗ ІНСТРУМЕНТАРІЮ ЕКОНОМІЧНОГО ОЦІНЮВАННЯ ЕФЕКТИВНОСТІ КЕРІВНИХ СИСТЕМ БІЗНЕС-ПРОЦЕСІВ ПІДПРИЄМСТВА

The article addresses the significant and timely subject of evaluating management effectiveness within business processes in today's dynamic business environment. This study aims to scrutinize and compare various economic evaluation methods that assess the effectiveness of management systems of business – processes at legal entity. By employing a comprehensive approach, the authors delve into the examination of existing tools, emphasizing their ability to integrate both financial and non-financial dimensions of management. The methodology adopted in this research includes a systematic analysis of different evaluation instruments, assessing their capabilities to provide a holistic and nuanced understanding of management effectiveness. In the article, comparative methods and information analysis techniques were employed, utilizing data gathered through the monographic method of processing scientific sources related to the research topic. The focus is on identifying methods that encompass a wide range of indicators, from financial performance metrics to qualitative aspects of management, ensuring a balanced and thorough evaluation. The findings of the study reveal a categorization of evaluation methods based on their scope, applicability, and depth of analysis. The authors have meticulously assessed the strengths and weaknesses of each method, offering insights into their suitability for various organizational contexts. This comparative analysis illuminates the complexities and nuances involved in measuring management effectiveness, highlighting the need for a multifaceted approach in this domain. From a practical standpoint, the research contributes significantly to the field by providing guidelines for selecting appropriate evaluation methods that align with the specific needs and objectives of an organization. The insights garnered from this study are instrumental for business leaders and managers in enhancing the decision-making process, facilitating the adoption of strategies that bolster the efficiency and adaptability of management systems. The matrix of comparative analysis of the toolset for economic evaluation of the effectiveness of management systems for business processes in enterprises, developed as a result of scientific research, allows for the selection of an economic evaluation toolset in accordance with the requirements and needs of the evaluation subjects. Ultimately, the article offers a valuable resource for enterprises seeking to optimize their management practices, fostering resilience and competitiveness in the evolving business landscape.

Indicator analysis as a way for the Second Department of Polish General Staff to counter the risk of chemical warfare being unleashed by Germany in the 1920s

After regaining its independence in 1918, Poland faced a number of security challenges. The most important of these was survival in the face of revisionist steps taken by aggressive neighbours, including Germany and the USSR. One important aspect of this threat was to determine the risk of the Weimar Republic unleashing chemical warfare against the Second Republic. In order to cope with this intelligence task, the Second Department of Polish General Staff developed a number of instructions whose structure and internal logic is comparable to the indicator analysis technique developed only 60 years later by the American Intelligence Community. On the basis of material preserved in the State Archive in Gdańsk and contemporary textbooks on information analysis techniques, it is shown how officers of Polish military intelligence, decades before the method of indicator analysis was formalised, developed their own way, which is essentially identical to it. This demonstrates the remarkable innovation and organisational capacity of the newly forming intelligence service of the reborn state.

Dispossession of Indigenous Knowledge in the Chilean Education System: Mapuche Experiences in Chile

ABSTRACT The article reports on the dispossession of indigenous knowledge in the public education system in Mapuche territory in La Araucanía, a southern region in Chile. The methodology is qualitative, 18 people were interviewed including Mapuche wise men and women, fathers, and mothers who experienced schooling processes in their younger years. The information analysis technique is content analysis, to identify explicit and latent meanings related to the schools they attended and the Chilean education system. Mapuche wise people and parents were consulted on the pedagogical practices of dispossession of ancestral knowledge that have been institutionalized. Main results show that schools have transmitted a Western Eurocentric-based knowledge which results in the dispossession of their own episteme and in their transformation into ordinary Chilean citizens who are unaware of their language and culture as a central axis of their sociocultural identity. Main conclusions account for the historical processes of schooling in an indigenous context, highlighting the consequences that this monocultural education has brought to families, communities, and new generations of indigenous. This poses the challenge of transforming the school curriculum, to transmit their truth, to advance in justice, reparation, and to ensure the non-repetition of the epistemicide of indigenous knowledge in the school.

Firm Performance Analysis of Relation to the Implementation and use of Enterprise Resource Planning Systems using GRA Method

Enterprise Resource Planning (ERP) is a business management system that allows organizations to integrate and manage their core business processes in a centralized system. The demand for integrated information system solutions among manufacturing and service companies has led to the development of ERP. The system is designed to streamline business operations and increase efficiency by providing real-time access to critical data across different departments. It encompasses the design, development, and implementation of ERP systems, as well as the processes and methodologies used to manage and optimize the system. Abstractly, ERP involves a thorough analysis of an organization's business processes to identify areas of inefficiency and opportunities for improvement. Based on this analysis, a customized ERP system is designed and developed to meet the organization's specific needs. The system is then implemented, tested, and ongoing maintenance and support are provided to ensure optimal performance. ERP systems typically include modules for accounting, human resources, inventory management, supply chain management, and customer relationship management. By integrating these processes into a single system, organizations can reduce redundant tasks, improve data accuracy, and make better-informed decisions based on real-time information. Overall, ERP is a critical tool for organizations looking to optimize their operations and remain competitive in today's fast-paced business environment. ERP systems have become increasingly popular among businesses of all sizes due to the numerous benefits they offer, such as increased efficiency, better decision-making, and improved customer service. The significance of ERP research lies in the fact that ERP systems have become critical to the success of many organizations, especially in today's fast-paced and competitive business environment. Research in this area can help organizations better understand the benefits and challenges of implementing ERP systems and develop strategies to optimize their use. Deng originally suggested Grey Relational Analysis (GRA) as a tool for MCDM problems, which has been successfully used to address many MCDM challenges. GRA is a model for evaluating effects that can assess the relationship between successions and their fit with certain information analysis techniques or calculation strategies. The factors considered in GRA include credit histories, behavior preferences, performance abilities, identity features, and interpersonal relationships. From the results, it is seen that behavior preference obtained the first rank, whereas performance abilities had the lowest rank among Entrepreneur 1, Entrepreneur 2, Entrepreneur 3, Entrepreneur 4, and Entrepreneur 5. The value of the dataset for Enterprise Resource Planning in the GRA (Gray-related analysis) method shows that it resulted in performance abilities ranking the highest

Enhanced Ensemble-Based Distributed Denial-of-Service (DDoS) Attack Detection with Novel Feature Selection: A Robust Cybersecurity Approach

One of the major threats to computer networks and systems is distributed denial-of-service (DDoS) attacks. These attacks include saturating the targeted system with a large volume of traffic coming from several sources, which causes a service interruption. Detecting these attacks in real-time has become a critical task in cybersecurity. The existing method of DDoS attack detection suffers from the problem of high false positive rates. Additionally, the classifiers used in the existing methods may not be able to capture the complex patterns of the DDoS attack traffic, leading to low accuracy. In this research, I propose an enhanced approach for detecting DDoS attacks using an ensemble-based random forest classifier with a novel feature selection technique. The ability of the ensemble-based Random Forest Classifier to aggregate many decision trees to increase classification accuracy makes it a better option for DDoS attack detection than a single machine learning-based classifier. By lowering the variance and bias of the classifier, ensemble-based approaches are known to reduce overfitting and increase the robustness of the model. To choose the most useful characteristics for DDoS attack detection, the feature selection strategy uses a novel combination of correlation analysis, mutual information, and principal component analysis techniques. A part of the CIC-DDoS2019 dataset is used for the evaluation of the proposed method and to compare it to other modern approaches. The experimental results reveal that when integrated with additional evaluation metrics, the proposed approach outperforms existing techniques in various aspects, including accuracy, recall, precision, F1-score, false positive rate, and more. The proposed approach obtained almost 100% accuracy, 0% false positive rate, and 100% true positive rate.

The Influence of Budgetary Participation and Information Asymmetry on Budgetary Slack

The purpose of this research is to test and prove the effect of participation in budgeting and information asymmetry on budgetary slack in local agencies of Taliabu Island District. Budgetary slack requires supervision because it can have a negative impact on the organization if not done wisely. The research uses quantitative methods with preliminary information sources or distributes questionnaires directly to respondents. The research sample was taken by using arbitrary examining technique and the sample was determined using the slovin formula. The information analysis technique in this study is using the SmartPLS Windows v.3.0 application programming. the results of the study prove that the budgetary participation variable has no effect on budgetary slack. Furthermore,

Essential Mapuche knowledge for an effective intercultural school education: perspectives of traditional educators

ABSTRACT This article presents traditional Mapuche knowledge that has been identified as essential in the pedagogical practices of several traditional educators (Kimche) in implementing the bilingual intercultural education program (PEIB) in Chile. This research is qualitative, and the semi-directed interview is used for gathering information. The information analysis technique is thematic analysis. The main results identify expressions of traditional Mapuche knowledge categorized based on sociocultural practices and spirituality. This knowledge, which is present in the social memory of the Kimche, is considered an essential part of their pedagogical practices to ensure cultural and territorial identity. We conclude that there is a challenge involved in incorporating this knowledge of the indigenous cosmogony and its experiential dimensions within the framework of the PEIB. This knowledge forms the basis of Mapuche experiential and community education, through which it is possible to strengthen the intercultural formation of children and young people by learning indigenous languages and cultures. The intercultural approach promotes a gateway towards engaging indigenous knowledge with contents of the school curriculum that reinforces the sociocultural identity of children through their social practices coherently with the educational pillars defined by UNESCO.

The Effectiveness of the PhET Assistant Argument-Driven Inquiry (ADI) Learning Model on Student's Argumentation Ability on Substance Pressure Materials

This study aims to determine the effectiveness of the PhET- assisted argument-driven inquiry (ADI) learning model on students argumentation skills as an essential aspect of the skills needed by humans in the 21st century. The type of research used is quasi-experimental (quasi-research) with a posttest research design-only control group design. The research instrument uses test questions and information analysis techniques using an independent t-test. The results of the analysis show that there is effectiveness in the application of the argument-driven inquiry (ADI) learning model assisted by PhET on the argumentation ability of students on the material pressure of substances at SMPN 1 Koto Gasib as evidenced by the average score of the experimental class which is higher than the control class students, namely 59, 13 53. 15 and based on sig.(2- tailed) which is 0. 007< 0. 05, then there is a significant difference in the average value between the experimental and control classes. Based on the results of the information analysis, it was concluded that there was a substantial difference between the students argumentation skills in the experimental class and the control class. The results of this study indicate that the application of the PhETassisted argument-driven inquiry (ADI) learning model is very effective in developing students argumentation skills.
 Keywords: effectiveness, argument-driven, inquiry argumentation

Kiprah Pengajar Madrasah Dalam Membentuk Karakter Ikhsani Siswa pada Era Digital


 The purpose of this writing is to find out the progress of madrasa teachers as educators in producing the behavior habits of students who are formed in an ikhsani character in dealing with the demands of the times in the digital era. In this study the method used was a qualitative case study method, while the method of collecting information was carried out by observation, documentation and interviews. Information analysis techniques by reducing, presenting, and concluding. The objects in this study were students and teachers at MTs Al-Khairiyah Badamusalam.The results of this study indicate that the role and strategy of the madrasa teacher applied at MTs Al-Khairiyah Badamusalam Serang City is very large in familiarizing students' spiritual character, this is indicated by the good character of students, but a small number of students still have bad character. Therefore, teachers must optimize their roles and strategies in teaching and guiding students. In order for these activities to be implemented optimally, there is a need for maximum guidance and supervision from teachers, especially PAI teachers and the need for good coordination and cooperation from related parties, namely student guardians, the community and the government
 Keywords: The gait of the teacher, forming the ikhsani chara

ASSISTIVE TECHNOLOGY FOR STUDENTS WITH VISUAL IMPAIRMENTS

Visual impairment is a disability resulting in partial or complete loss of vision. It results in hindrance to performing daily chores, thereby decreasing the quality of life. This study aims to augment the user’s experience with digital interfaces (e.g., the display system of personal computers and smartphones) through the design of an efficient system enabling easier and more effective user navigation. Assistive technology for the visually impaired and blind people is a research field that is gaining increasing prominence owing to an explosion of new interest in it from disparate disciplines. The field has a very relevant social impact on our ever-increasing aging and blind populations. While many excellent state-of-the-art accounts have been written to date, all of them are subjective in nature. We performed an objective statistical survey across the various sub-disciplines in the field and applied information analysis and network-theory techniques to answer several key questions relevant to the field. To analyze the field, we compiled an extensive database of scientific research publications over the last two decades. We inferred interesting patterns and statistics concerning the main research areas and underlying themes, identified leading journals and conferences, captured growth patterns of the research field; identified active research communities, and present our interpretation of trends in the field for the near future. The study of the educational process of students with visual impairments shows that they can generally receive a successful education on an equal basis with others. On the other hand, the educational process of students with visual impairments is accompanied by several difficulties associated with the fact that they cannot see. One of the ways to effectively solve this problem is computer assistive technologies based on programs for the blind and visually impaired, information sources (through sound reproduction, an auxiliary point, or listening to a large text). Computer assistive technologies are easy to understand and allow you to work independently with a regular personal computer, and general-purpose programs (MS Word, Internet Explorer, etc.) to obtain a normal user experience. For students with visual impairments, these functions have a significant compensatory effect, allowing assistance to the visually impaired ( scanning, reading plain text, preparing printed documents, etc.).

Pengaruh Kualitas Pelayanan, Persepsi Kemudahan dan Keamanan Terhadap Kepuasan Peserta Dalam Menggunakan Jamsostek Mobile

This study aims to see the impact of service quality, perceived convenience, security partly and at the same time on participant satisfaction. The sample during this study was one hundred folks. the information analysis technique uses a validity take a look at, dependability take a look at, classical assumption take a look at, multiple statistical regression analysis determination on constant take a look at, f test, and t-test. From the results of the study, it had been found that service quality had a big positive impact on participant satisfaction, perceived convenience had a big positive impact on participant satisfaction, security had a big positive impact on participant satisfaction and repair quality, perceptions of convenience and security had a big positive impact on participant satisfaction. The magnitude of the influence of the freelance variables on participant satisfaction is fifty five.8. Suggestions which will incline by researchers ar BPJS Employment ought to still initiate on the offered options in order that Jamsostek Mobile will be accessed simply and is ready to supply quick responses, further as socialize the Jamsostek Mobile (JMO) application that is more practical, additionally to BPJS Employment Branch Bali Denpasar will add larva and admin applications to concentrate on handling social media in order that they will quickly reply to chat participants WHO wish to raise BPJS Employment data.

Motif Penggunaan Media Sosial Instagram di Kalangan Mahasiswa Ilmu Perpustakaan UIN Sumatera Utara

This study aims to identify and analyze cognitive motives and affective motives for using Instagram social media among students of Bibliotechnology, State Islamic University of North Sumatra. This research uses constructivism paradigm with qualitative approach and descriptive procedure. The research subjects were 2 students. Methods of collecting information were tried through interviews, participatory observation, and library research. The information analysis technique was tried with an interactive information analysis model consisting of information reduction, information presentation, and drawing conclusions. The validity of the information is tested through triangulation of sources. The results of the research prove that: 1) The cognitive motives for using Instagram among students prove that there is a fulfillment of data needs from data exchange (sharing) which is the attractive side of Instagram, there is a need to reach the ideational level by sorting content so that what is displayed is perfect imagery and reaches emotional level as an effort to seek attention while fulfilling emotional pleasure. 2) Affective motives for using Instagram social media are directed through the willingness to get new experiences based on other people's content, the willingness to get reactions to the uploaded content, the willingness to acknowledge the image of the account owner so as to urge false reality, and the desire to feel comfortable in the form of a feeling of calm when using Instagram.
 Keywords: Motif, social media, Instagram, uses and gratification theory.

Teoretyczne przesłanki wykorzystania ustrukturyzowanych technik analizy informacji w procesie analizy politycznej

STRUCTURED ANALYTICAL TECHNIQUES AS TOOLS FOR THE OPERATIONALIZATION OF POLITICAL SCIENCE KNOWLEDGE: THE ROLE OF SELECTED INFORMATION ANALYSIS TECHNIQUES IN THE PROCESS OF POLITICAL ANALYSIS
 The aim of the article is to outline the theoretical framework for potentially beneficial cooperation between the academic and analyst communities. This goal may be achieved via operationalization of theoretical issues using structured analytical techniques. The article is divided into three parts. The first outlines the theoretical framework for political analysis understood as an effort aimed at analyzing the contemporary problems of the empirical world, including those taking into account forecasting. The second part characterizes what sets apart research activity from analytical activity, emphasizing the mutual interrelations between both. The third part presents the operationalized analytical model for political analysis.

Issues of Safe Use of Plant-Based Food Supplements: A Review

Background: The widespread use of specialized food products, including plant-based dietary supplements, is determined by a rich variety of biologically active constituents. However, some plants containing such bioactive compounds as pulegone, menthofuran, estragole, methyleugenol, safrole, and thujone may cause adverse health effects. Objective: To review recent domestic and international scientific papers in order to substantiate the importance of regulating maximum permissible levels of monoterpene ketones (pulegone, menthofuran, and thujone) and alkenylbenzenes (estragole, methyleugenol, and safrole) in plant raw materials and plant-based nutritional supplements. Materials and methods: We used the keywords pulegone, menthofuran, methyleugenol, estragole, safrole, and thujone to search Scopus, Web of Science, PubMed, and RSCI abstract and citation databases and then applied information analysis and expert examination techniques to summarize research data published in Russian and English languages in 2001–2021. The initial sample consisted of 43 articles, of which 13 were excluded after initial screening. The selection criteria included availability of data on metabolism of the organic compounds in question, their levels in herbs and herbal teas, toxic effects on experimental animals, and potential adverse health effects in humans. We selected 30 full-text scientific publications and classified their data by the type of interventions. Results: The analysis of numerous studies of monoterpene ketones and alkenylbenzenes indicates a toxic effect of these groups of compounds on experimental animals. The International Agency for Research on Cancer (IARC) has classified pulegone, methyleugenol and safrole in Group 2B, which means that they are possibly carcinogenic to humans. Human health risks from plant-based alkenylbenzenes contained in dietary supplements are also demonstrated. Conclusion: Our findings prove the need to take appropriate risk management measures in order to limit the use of certain plant species containing high concentrations of biologically active substances posing threat to human health and to regulate their permissible levels in plant-based supplements.

Deep recurrent extreme learning machine for behind-the-meter photovoltaic disaggregation

In recent years, sustainable sources of energies attract significant interest due to the serious environmental issues of fossil fuels. Rooftop photovoltaic (PV) panels are among the important power generation technologies exploited in many modern countries. Most PV panels are installed behind-the-meter (BTM), resulting in a lack of observability of actual load and PV power generation in a power distribution system. This paper proposes a novel supervised spatiotemporal approach to accurately disaggregate the net-load data of a set of neighboring residential units. To this end, spatiotemporal correlations of a group of neighboring residential units are modeled using a weighted undirected graph where the nodes store the temporal features. The edges reflect the spatial correlation between neighboring residential units and are determined by the information analysis technique. Afterward, a generative graph attention recurrent neural network (RNN) is devised for capturing highly nonlinear patterns of input graphs using an RNN encoder. In addition, to boost the generalization capacity and robustness of the proposed model, we reconstruct the input graphs using sparse contractive decoders. Finally, an extreme learning machine (ELM) neural network is employed to disaggregate the input net-load time-series of a set of residential units using the extracted complex spatiotemporal patterns. Experimental results on the real-world Pecan Street dataset demonstrate the superiority of the proposed RNN-ELM method over the recent BTM disaggregation techniques.

Instrumento para analizar la comun icación en una comunidad de aprendizaje cuando se usan metodologías emergentes

There is a growing interest in learning in Higher Education using flipped classroom and mlearning. This study constructs an original instrument to obtain information on the levels perceived by the students of the three presences of the Community of Inquir y model with these emerging methodologies. The instrument consists of 21 items, based on the instrument developed by Arbaugh et al. (2008) , which were adapted to flipped classroom and m was distributed to 121 students from two different universities. Cochran's Qlearning. This instrument test was run to verify whether there was agreement between the opinions of five experts. Student ttest results for independent samples indicate similarity in the opinions of the two groups of students. Information analysis techniques, exploratory factor analysis, and reliability tests were also used to validate it. The analysis reve aled three factors coinciding with cognitive presence, social presence and teaching presence as proposed by the theoretical model. Cronbach's Alpha confirmed the reliability of the tool as a whole α = .957learning.

The method of trust level of publications hosted in virtual communities

The proposed model of data collection and analysis from thematic virtual communities using known information analysis techniques: scoring and parsing. Open communities were selected for the study, namely their architecture and main components: information content (title, description, posts, topics of the event) and audience (community members). To select relevant, informative, reliable publications, the scoring method is used which reflects the level of trust of the authors of the publication in the form of weighted indicators of a set of certain characteristics. Data collection is a combined approach, as virtual communities are dynamic in the content of the data and their content depends on the actions of the participants. To parse posts from virtual communities, it was decided to use ImportXML function in Microsoft Excel, which allows you to collect data from different sources, and then sample, analyze, and select the presentation of results using other built-in tools of this program.