Methods Of Collecting Information Research Articles

Implementasi SAK EMKM Terhadap UMKM di Kota Pontianak (Studi Kasus Pada FT Laundry)

The majority of businesses in Indonesia are micro, small and medium enterprises (MSMEs). Due to their presence in various sectors, MSMEs play an important role in driving the country's economy. Nonetheless, MSMEs face obstacles and lack of understanding in following the Financial Accounting Standard for Micro, Small, and Medium Entities (SAK EMKM) which highlights the importance of preparing financial statements. This study aims to investigate how FT Laundry MSMEs prepare their financial statements whether they are in accordance with SAK EMKM standards through a qualitative research approach involving document analysis, interviews, and observations. Data was analyzed using the methods of information collection, data reduction, data presentation, and conclusion drawing. Based on the research findings, it appears that owners of laundry businesses still rely on traditional accounting methods for their financial records and do not adopt the SAK EMKM financial reporting system. The main reasons why these businesses do not adopt SAK EMKM include a lack of understanding of the system, a lack of manpower who can prepare reports in accordance with SAK EMKM guidelines, and a lack of awareness of the importance of preparing reports in accordance with the standard.

MANAJEMEN KEUANGAN KELUARGA PEDAGANG DI PASAR SIBANG GEDE

The income of traders depends on uncertain sales income every day. To be able to manage family finances, management, and planning are needed to ensure that expenses are not greater than income. This study aims to examine the understanding of financial management, the application of financial management, and the obstacles to financial management for traders in the Sibang Gede market. This study's data and information collection methods included interviews using questionnaires and documentation. The analysis method used is qualitative descriptive analysis. The results of this study indicate that traders in the Sibang Gede market do not understand financial management. Traders choose to record income daily, do not apply long-term planning, apply short-term planning, and own assets in the form of houses and motorbikes. Traders in the Sibang Gede market do not make financial plans, do not record family finances in books, and do not compile budgets. Traders do not have investments, and all traders in the Sibang Gede market choose to use banks as a place to save. The obstacles Sibang Gede market traders face are income instability caused by fluctuations in consumer demand, traders not being accustomed to making financial reports, and traders not being familiar with modern finance.

An Artificial Intelligence-Based Platform for Medical Diagnosis

Medical diagnosis using artificial intelligence models uses methods of information collection via the Internet of Things (IoT) for the categorization of diseases. This may be attributed to a number different issues, such as inefficient auxiliary frameworks, high expenses associated with acquiring datasets, or difficulties encountered while constructing classifiers. The present paper analyses the recent developments in AI for medical diagnosis. The research uses a Deep Convolutional Neural Network (DCNN) to categorise medical conditions. In this paper, a model for categorising medical diagnosis has been introduced by making it easier for the network to adapt to new medical data. This article estimates the degree to which the classification falls into the right medical diagnosis category and separates the training sample into normal, critical, and suggestion samples using a dynamic threshold to solve the diagnostic issue. The recommended strategy categorises input to help the convolutional neural network learn more. This research modifies the convolutional neural network design to accommodate for input variety and data evolution temporal dynamics. This adjustment is made with the goal of achieving the five physiological data properties of bio signals (heart rate, blood pressure, EEG, ECG, and oxygen level). Because of the realised CNN optimisation algorithm model, the prediction effect has been increased, and the accuracy rate has been found to be 92.8% in medical diagnosis, which is a reasonably good performance in machine learning algorithms.

The Influence of Brand Image, Product Design, and Price on Purchasing Decisions for Nike Shoes in Denpasar City

This consider points to decide the impact of brand picture, item plan and cost on acquiring choices. The area of this inquire about is in Denpasar City. The information collection method utilized was a survey. The populace employments Nike brand shoe items, with a test of 105 respondents. The data analysis techniques used are Descriptive Statistical Analysis, Data Instrument Test, Classical Assumptions, Multiple Linear Regression, F, t, Determination and Beta Coefficient. Based on the comes about of the think about, it was gotten that brand picture incorporates a positive and significant impact on obtaining choices, item plan incorporates a positive and noteworthy impact on acquiring choices, and cost incorporates a positive and critical impact on obtaining choices, brand picture, item plan and cost have a positive and noteworthy impact on obtaining choices. Suggestions that can be given by researchers are that it is hoped that Nike will always maintain the quality of the products offered, increase the variety of designs, so that later it will have products with a variety of designs, make more affordable pricing policies and add types of shoes, so that later it will have complete types of shoes

МОДЕЛИРОВАНИЕ НАРУШИТЕЛЯ, ИНФРАСТРУКТУРЫ И АТАК В СИСТЕМАХ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ

Formal models of subjects, infrastructure and attacks for information security systems are proposed. The models include descriptions of information security operators, administrators, users and violators, taking into account their knowledge, qualifications and initial conditions. A comprehensive intruder model is presented, including initial knowledge and access rights, initial location, qualifications and goals. Infrastructure models, vulnerabilities, and information collection methods are also considered, which makes it possible to more accurately predict the behavior of violators and develop effective protection strategies. The results of the study show that the proposed models significantly improve the accuracy of risk assessment and security planning, which is especially important for mission-critical information systems. The practical significance lies in the possibility of using models to develop and improve information network security systems. The results of the practical implementation of the model on real data are also presented.

Review of methodology for conducting cybersecurity audits for compliance with standards

This study focuses on the analysis of conducting cybersecurity audits, providing a generalized view of this process. The main attention is given to analyzing the stages of conducting cybersecurity audits and methods of information collection. Special emphasis is placed on the development and implementation of sensor systems capable of withstanding high pressure and corrosion in underwater environments, as well as providing accurate and reliable data. The work covers theoretical aspects of conducting audits, including defining objectives, scope, and type of audit, planning, evidence collection, and evaluating compliance with cybersecurity standards. This research highlights the importance of corrective actions by the organization after the audit, as without this step, the process is almost entirely meaningless.

HOẠT ĐỘNG GIÁO DỤC NÂNG CAO KỸ NĂNG XÃ HỘI CHO TRẺ KHUYẾT TẬT

Children with disabilities are a vulnerable group of children who face many difficulties in life and lack basic social skills. By selecting a typical case study, the Vocational Education and Training Center for People with Disabilities in Nghe An province, a combination of quantitative and qualitative information collection methods has been used to clarify educational activities to improve social skills for children with disabilities. Research results show that children with disabilities face many difficulties in social communication. Therefore, children with disabilities have a need for education to improve social skills. Activities to improve social skills for children with disabilities have been organized and received a positive response; However, children with disabilities still have difficulty participating in social skills education activities. On that basis, some solutions have been proposed to improve the quality of social skills education for children with disabilities at the Nghe An Center for Education and Vocational Training of People with Disabilities.

Research on the Impact of Internet Literature Protagonist Role Setting on Moral Education in Colleges and Universities Based on the Perspective of Big Data Technology

Throughout history, literary works have played a significant role in education, network literature has emerged as a prominent form of literature, captivating the interest of college students. The character portrayals in network literature have a profound impact on the formation of their personalities and their approach to daily life. However, it is essential to acknowledge that some network literature works are poorly crafted, resorting to incestuous and pornographic content for popularity, and plagiarism is rampant. Therefore, with the help of big data technology, we should use information collection, information integration, scientific prediction and other data methods to accurately identify and dialectically look at Internet literature, correctly analyze the setting of the protagonist's role in it, and think about the positive and negative impacts it has brought about. The correct guidance of college students in reading network literature should be carried out from the perspectives of the state, online platforms, and educational institutions. By doing so, network literature can become a catalyst for moral education in higher education.

The Development Trend of Ubiquitous Learning in Age of New Media

The development of new media, which has changed people’s lives significantly in China, has promoted ubiquitous learning. The research attempts to explore the possibilities of developing ubiquitous learning steadily in the new media age and find out the developmental potentials and further hindrances, to realize the integration of ubiquitous learning and new media properly. Meanwhile, this study seeks to find an effective way to integrate fragmented learning resources in the new media environment and personalize people’s services. Based on the Modern Pragmatic Theory and Comprehensive Ability Practice and Integration Theory, the realistic interview, big data information collection, and analytical and comparative methods have been used to investigate 100 people and 30 domain experts to figure out the existing advantages, disadvantages, and the further developmental potentials and hindrances.

Intelligent Diagnosis of Urban Underground Drainage Network: From Detection to Evaluation

During the process of urban development, there is large-scale laying of underground pipeline networks and coordinated operation of both new and old networks. The underground concrete drainage pipes have become a focus of operation and maintenance due to their strong concealment and serious corrosion. The current manual inspections for subterranean concrete drainage pipelines involve high workloads and risks, which makes meeting the diagnostic needs of intricate urban pipeline networks challenging. Through advanced information technology, it has reached a consensus to intelligently perceive, accurately identify, and precise prediction of the condition of urban subterranean drainage networks. The development process of detection and evaluation methods for underground concrete drainage pipe networks is the focus of this study. The study discusses common algorithms for classifying, locating, and quantifying pipeline defects by combining the principles of deep learning with typical application examples. The intelligent progression of information collection methods, image processing techniques, damage prediction models, and pipeline diagnostic systems is systematically elaborated upon. Lastly, prospects for future research of intelligent pipeline diagnosis are provided.

Utilization Of Accounting Information Systems, Human Resource Competencies, Government Accounting Standards On The Quality Of Local Government Financial Statements

The local government financial report is a form of accountability report for the implementation of the Regional Revenue and Expenditure Budget that can be calculated with money. This study aims to assess the effect of utilization of accounting information systems, human resource competencies, and government accounting standards on the quality of local government financial reports. In this study, researchers used a quantitative descriptive approach. The information collection method used is through a questionnaire. The number of samples was 95 respondents who were determined using purposive testing techniques. Data analysis was performed with multiple linear regression models with data quality testing and classical assumption tests. The results of this study indicate that the utilization of accounting information systems, human resource competencies, and the application of government accounting standards have a significant effect on the quality of local government financial reports.

Optimizing information support technology for network control: a probabilistic-time graph approach

In modern telecommunications and computer networks, efficient and reliable information collection is essential for effective decision-making and control task resolution. Current methods, such as periodic data transmission, event-driven data collection, and on-demand requests, have distinct advantages and limitations. The object of the paper: The study focuses on developing a comprehensive model to optimize information collection processes in network environments. Subject of the paper: This paper investigates various information collection methods, including periodic data transmission, event-driven data collection, and on-demand requests, and evaluates their efficiency under different network conditions. This study proposes a flexible and accurate model that can optimize information support technologies for network control tasks. The key tasks include 1. Developing a probabilistic-time graph model to evaluate the efficiency of different information collection methods. 2. Analyzing model performance through mathematical relationships and simulations. 3. Comparing the proposed model with existing methodologies. Results. The proposed model demonstrated significant variations in the efficiency of the information collection methods. Periodic data transmission increased network load, while event-driven data collection was more responsive but could miss infrequent changes. On-demand requests balanced timely data needs with resource constraints but faced delays due to packet loss. The probabilistic time graph effectively captured these dynamics, providing a detailed understanding of the trade-offs. Conclusions. This study developed a flexible and accurate model for optimizing information support technologies during network control tasks. The model's adaptability to varying network conditions has significant practical implications for improving network efficiency and performance. Future research should explore the integration of machine learning techniques and extend the model to more complex network environments.

Побудова твердотілої моделі історичного об’єкту: на прикладі форту «Марушка Ліс»

Purpose of this work is to use terrestrial laser scanning for analysis and construction of a digital model of the fort “Marushka Lis” focusing on the process of data collection, processing, and their further use, particularly for web mapping of post-military sites. In the modern world, the preservation and restoration of historical structures is an important task that requires the application of advanced technologies. Methodology. Terrestrial laser scanning serves as an indispensable tool in this process, providing accurate and detailed spatial data. A technological scheme for creating a digital model of a historical object has been proposed. The study of historical objects using various methods of information collection was considered, namely: topographic surveying, terrestrial digital photogrammetry, terrestrial laser scanning, ground-penetrating radar studies, tachymetric surveying, GNSS. The methodology for creating a digital model of a historical object and the presented technological scheme, which includes data collection, processing of the obtained results, and output data, are described. Results. A comprehensive approach was applied to create the model, which included studying the history of the object, terrestrial laser scanning, terrestrial digital photogrammetry, and conducting geodetic measurements. A key aspect was the accurate and detailed reproduction of all architectural and structural elements of the fort. The use of software such as Leica Cyclone REGISTER 360, Autodesk ReCap, and Autodesk Revit allowed the integration of collected data into one accurate and detailed model. The sequential execution of work according to the proposed methodology enabled the creation of a digital model of the fort “Marushka Lis.” Scientific novelty and practical significance. The scientific novelty lies in the use of terrestrial laser scanning and 3D modeling for the reconstruction of a destroyed post-military object. The obtained digital model of the fort “Marushka Lis” will be used in web mapping of post-military sites in Lviv region.

KNOWLEDGE MANAGEMENT IN THE CONDITIONS OF INDUSTRIAL ENTERPRISES INTELLECTUALIZATION AND DIGITALIZATION DEVELOPMENT

Objective. The purpose of the research is to deepen the methodological and applied foundations of knowledge management in the conditions of industrial enterprises intellectualization and digitalization development. Methodology. The methodological basis of the research article is a set of theories and concepts that contribute to a full understanding of the knowledge management process of the content at an enterprise in the context of intellectualization and digitalization: theories of knowledge economy, entrepreneurship, institutionalism, microeconomic theory of knowledge management, theory of new knowledge acquisition; the concept of information society; the concept of intellectual capital; the concept of social capital. The methodology is based on system analysis as a scientific method of researching the enterprise knowledge management functions. The study used quantitative and qualitative methods of data and information collection and analysis; methods of analytical, situational analysis and synthesis; comparative analysis, generalization of scientific experience of modern theoretical research, and a systemic and integrated approach. Results. The article outlines the important role of knowledge management in creating competitive advantages, increasing the value of enterprises and ensuring their long-term sustainable development. A new understanding of the essence of the categories of “knowledge management of an industrial enterprise” and “knowledge management system of an industrial enterprise” has been proposed. A theoretical generalization of the concept of knowledge management of industrial enterprises has been carried out. The article describes new trends in the knowledge management system based on the synergistic relationship between technological components and behavioral aspects in management. The scientific novelty lies in improving the methodology and concept of an integrated knowledge management system and methodological support for its effective practical application. The implementation of the knowledge management system in the conditions of intellectualization and digitalization is substantiated, which improves knowledge accumulation processes, integrates knowledge into the field of the enterprise activity and ensures the exchange of knowledge between employees and key stakeholders. Modern knowledge management tools that enable intellectualization and high-quality digitalization of an enterprise are identified. Recommendations for improving knowledge management at industrial enterprises have been developed, as well as mechanisms for their practical implementation have been proposed. Practical significance of the obtained results. The author’s developments and recommendations can be used to effectively use the intellectual potential of an enterprises to increase economic added value through the growth of organizational knowledge.

The Effect of Visual, Auditory, Kinestic Learning Styles on Student Learning Outcomes in Science Subjects


 
 
 
 This study was conducted with the aim to evaluate and determine the effect of visual, auditory, kinesthetic learning styles on student learning outcomes in science learning at SD Negeri 244 Palembang. This study is a quantitative research that uses an experimental method with a type of Quasi-Experimental experimental design. The variables to be studied consisted of visual, auditory, kinesthetic learning styles (X), and student learning outcomes which became the dependent variable (Y). All students in grades I - VI of SD Negeri 244 Palembang are the research population and there are 40 students who are the samples in this study. Information collection methods applied questionnaires and documentation. Questionnaire was used as a tool to identify visual, auditory, and kinesthetic learning styles. Based on the results of the t test with a significance level of 0.000 which is lower than the t table value of 2.023, it can be concluded that there is a significant effect of visual, auditory, kinesthetic learning styles on student learning outcomes in science learning at SD Negeri 244 Palembang.
 
 
 

UAV-Aided Information Collection Method Based on Joint Optimization of Node Access and Flight Strategy

UAV-Aided Information Collection Method Based on Joint Optimization of Node Access and Flight Strategy

Health Information Technology 기반 국내외 의료용 마약류 모니터링 시스템 비교 분석

This study was conducted to propose ways to improve the domestic system based on a comparative analysis of domestic and foreign Health Information Technology (HIT) system using cases to prevent misuse and abuse of controlled substances. Korea, the United States, and Australia were selected as the countries to be investigated as representative examples of nationwide use of HIT. Literature data was collected from the official website of the system operating organization and major literature databases and search engines such as Pubmed and Google Scholar using the name of each country's HIT system as a keyword. We focused on analyzing the purpose of system operation, target drugs, information collection method, system operation method, and compensation to system users. Korea’s Narcotics Information Management System (NIMS) is the only system that can track the serial numbers of controlled substances in connection with prescription and dispensing records, and is designed and operated with a focus on regulatory purposes to improve legal compliance. NIMS had a relatively long reporting cycle, so there were limitations in checking the latest controlled substances prescription and dispensing records. It was also the only system in which pharmacists did not have the authority and role to check and monitor prescription records. In order to effectively prevent misuse and abuse of controlled substances, the reporting cycle must be shortened by switching to a real-time monitoring system including nonreimbursement medications. In addition, there is a need to guarantee pharmacists the authority to request prescription records before dispensing and the roles that accompany this.

The Influence of Self Efficacy and Organizational Citizenship Behavior on Employee Performance in PT Employees. Pos Indonesia KCU Medan 20000

The purpose of this research is to ascertain how self-efficacy and organizational citizenship behavior relate to each other and influence the performance of PT workers. Pos Indonesia KCU Medan 20000. Quantitative methods were used in this research. Those who took part in this research included: PT staff. Pos Indonesia KCU Medan 20000. The sample taken from participants in this research involved 56 participants. Purposive sampling was used in this research as a sample for a strategy. This research information collection method uses Likert scale measurements. This research uses several methods for data analysis such as validity testing, reliability testing, multiple correlation analysis, multiple linear regression analysis, and SPSS-based hypothesis testing. The analysis findings show that organizational citizenship behavior and partial and simultaneous self-efficacy both have a positive impact on employee performance.

Peran Kepala Sekolah Terhadap Kedisiplinan Guru di Madrasah Tsanawiyah Darunnajah 2 Cipining Bogor

The reason of this consider is to discover out how the principal's part contributes to progressing educator teach at Madrasah Tsanawiyah Darunnajah 2 Cipining Bogor. and to discover out the part of the school foremost in moving forward instructor teach at Madrasah Tsanawiyah Darunnajah 2 Cipining Bogor. The inquire about strategy utilized is graphic subjective with investigate disobedient utilized are meet guides, documentation, and information collection methods utilized incorporate interviews and documentation. subjective inquire about strategies. The center of this investigate is the part of the vital and instructor teach at Madrasah Tsanawiyah Darunnajah 2 Cipining Bogor. The comes about of the ponder are that the part of the school central in expanding educator teach has been realized to work well since of the favors of the principal's direction and inspiration towards instructors additionally from the mindfulness of the instructor himself in carrying out the order and duty as an teacher who ought to be an case and part demonstrate for his understudies , This ponder utilized subjective inquire about strategies. The center of this inquire about is the part of the vital and educator teach at Madrasah Tsanawiyah Darunnajah 2 Cipining Bogor.

СИСТЕМА ОБЛІКУ І АНАЛІЗУ ІНЦИДЕНТІВ ЯК ЗАСІБ ЗНИЖЕННЯ ВИРОБНИЧОГО ТРАВМАТИЗМУ

Purpose. The search for methods for the formation of comprehensive statistics of industrial injuries at the enterprises of Ukraine and the creation of a system of measures to reduce the level of injuries and incidents based on it. Methodology. To achieve the goal of the study, methods of information collection and generalization, critical analysis, analytical methods (analysis of injury statistics in a number of countries), system analysis methods (for formulating theoretical and applied generalizations) have been used. Results. The relevance of determining the root causes of incidents and injuries without loss of work capacity using the "injury pyramid" has been considered. On the basis of data from the International Labor Organization on the level of industrial injuries, it has been assumed that there is a significant percentage of hidden injuries in Ukraine and that employers are not interested in keeping records of microinjuries and incidents. The application of the "incident accounting and analysis system" has been proposed as a method that allows employers and labor protection services of enterprises to form comprehensive statistics about the state and working conditions at the enterprise. Based on the collected data, employers will be able to identify the causes of injuries and directly influence the causes of their occurrence. Scientific novelty. The novelty of the research consists in the first substantiated possibility of using record cards and incident analysis as a means to reduce the level of industrial injuries. Practical significance. Preservation of the life and health of employees in the process of work is a priority of work safety specialists. Decision-making regarding the implementation of labor protection measures should be based on reliable data. The use of the proposed incident accounting and analysis system allows identifying the root causes of production incidents and may become the basis for making informed decisions for their elimination. Keywords: occupational injuries, injury pyramid, accounting and analysis of incidents, occupational safety, level of injuries.