bluuebunny/crossref_metadata_2025 huggingface dataset:
Von der Leyen’s European Commission’s Vision of the EU’s International Role as a Normative-Regulatory Power in the Digital Area for the 2019–2024 Period
Authors:   University of Opole, Tereszkiewicz Filip
Published: January 2024

The aim of this paper is to examine whether the documents prepared by the European Commission (EC) under the leadership of Ursula von der Leyen are based on a coherent vision of the international role to be played by the EU in the digital area. It attempts to achieve this goal by referring to two concepts popular in the analysis of the international role of the EU: as a normative and regulatory power. The question posed is, To what extent does the European Commission want the EU to play the role of a normative or regulatory power on the international stage in the ﬁeld of digital policy? To answer it, the author focuses on an analysis of von der Leyen’s speeches and selected EC documents. Following Mayring, the author has used a method involving the qualitative content analysis of speeches and policy documents. The author tries to ﬁnd signs that the EC wants the Union to play a role as a normative or regulatory power in the digital sphere. The study shows that the titular institution refers to these concepts in its documents. The Commission also assumes that the Union can play both roles simultaneously, thus strengthening its ability to inﬂuence third parties in the digital sphere. However, whether it does so intentionally or because it lacks a concrete vision of the EU’s international role in the digital area remains unresolved.
Possible Consequences of Corporate Sustainability Reporting Directive on Polish Transport Companies
Authors:   University of Gdańsk, Borowicz Aleksandra , Czerepko Joanna ,   University of Gdańsk
Published: January 2024

Over the past 2 or 3 years, the European Commission has been gradually introducing further regulations with the ultimate goal of establishing European standards for Environmental Social and Governance (ESG) reporting. The aim of this paper is to discuss the regulations contained in the recently adopted Corporate Sustainability Reporting Directive (CSRD), which became effective in January 2023 and to provide a deeper understanding of the distinctive characteristics of Polish transport companies and their value chain relationships with other entities. As an introduction to the main provisions of the recently introduced CSRD, the authors will ﬁrst outline its core principles. They will then present the fundamental issues related to the value and supply chain and the European Commission’s (EC) newly introduced notion of the chain of activities. The article concludes with recommendations for companies. In order to achieve the research objective, the article uses quantitative and qualitative research methods. Statistical methods point to the importance of Polish transport companies in the European Union. Qualitative methods were used to review legislative documents of the European Union related to this topic. Our ﬁndings contribute to growing, but still limited literature on European regulations in the area of ESG reporting and impact of these regulations on companies.
Innovation Potential in the Western Balkans Relative to the European Union and Selected Neighbouring Countries
Authors:   Nicolaus Copernicus University in Torun, Grodzicki Tomasz
Published: January 2024

Although Western Balkan economies are still on the list of EU candidates or potential candidate countries, they do have some integration with EU economies. The EU is the leading trading partner of the Western Balkans and is one of the top destinations for the ﬂ ow of people. The Western Balkan economies have been trying to address their populations’ ongoing emigration (the so-called “brain drain” phenomenon) by implementing targeted economic policies. Since one of the main contributors to economic growth is the ability to create innovation, it is crucial to building innovation potential. The main challenge for innovation policy is to provide a favourable environment for entrepreneurship and economic growth to create jobs. Thus, this paper aims to examine innovation potential – an innovation input – as it creates the conditions needed for innovation development. The results of analysing the data (on research and development spending, human resources, an environment friendly to innovation, and intellectual property rights) indicate that the Western Balkan countries are lagging behind the EU in many aspects of innovation potential, so they should still develop their strategies towards creating higher innovation potential. Thus, they will be able to have a higher level of innovation and, as a result, be more competitive in economic terms.
Azerbaijan’s Path to Fulﬁlling Its Current Role in Building Global Energy Security and Its Prospects for the Future
Authors:   Military University of Technology, Stawarz Paweł
Published: January 2024

The research problem of this paper concerns energy security in the regional and global dimensions in the context of Azerbaijan’s role in its construction, the aim being to verify whether Azerbaijan is one of the key elements in building energy security, especially in the South Caucasus, but also in relation to the European Union and even in a global sense. The factorial and comparative methods were mainly used to examine the indicated subject matter. This article shows that both natural conditions and the appropriate actions of the Azerbaijani authorities have been strengthening the country’s role for several decades not only as the main element of the energy security of the South Caucasus, but also as one of the key factors in building the energy security of the European Union and is shaping itself as a signiﬁcant co-creator of global security in this sphere. Azerbaijan’s achievements to date in the sphere of energy security and forecasts for the future allow one to conclude that the state will have an increasingly stronger position as a guarantor of security in the discussed sphere in the South Caucasus, and its role as a co-builder of the Union’s energy security will take on new, unprecedented shapes. Also, in the global dimension, the role of Azerbaijan will increase.
COMPARISON OF BODY WEIGTH INFANTS AGED 6 TO 12 MONTHS IN EXCLUSIVE AND NON-EXCLUSIVE BREASFEEDING
Authors: Agus Sulistyowati  , Dini Prastyo Wijayanti  , Annisa Faida
Published: January 2024

Background: Breast milk is an adequate food for babies in the process of growth and development because its content such as nutrients and protective factors play a role increasing the speed of metabolism and growth thus as to reduce infant morbidity and mortality.
Objective: The purpose of this study was to compare the body weight of infants aged 6-12 months between exclusive and non-exclusive breastfeeding.
Methods: The method used that descriptive-comparative research design. Samples in the study were taken using the Total Sampling method. It was 70 respondents divided into two groups namely exclusive breastfeeding and non-exclusive breastfeeding. The data were taken using a Kartu Menuju Sehat (KMS, Standard Growth Charts) and analyzed using the Chi-Square test with a meaning level of 5% (α=0.05).
Result: There were 21 (60%) infants with normal body weight that received exclusive breastfeeding and 19 (54.2%) infants with more body weight that received non-exclusive breastfeeding. The results of the hypothesis test using Chi-Square obtained a p-value of 0.006 (P<0.05).
Conclusion: The early days of life are very important for infants regarding to their nutrition. Breastfeeding mother need support from the family thus the infants could get exclusive breastfeeding.
MAF translocation remains a strong prognostic factor despite concurrent chromosomal abnormalities
Authors: Liu Yuntong , Lv Rui , Yan Wenqiang , Xu Jingyu , Fan Huishou , Li Lingna , Cui Jian , Du Chenxing , Deng Shuhui , Sui Weiwei , Zou Dehui , Xu Yan , Qiu Lugui , An Gang
Published: January 2024

Not available.
Autologous stem cell transplant in fit patients with refractory or early relapsed diffuse large B-cell lymphoma that responded to salvage chemotherapy
Authors: Tun Aung M. , Wang Yucai , Maliske Seth , Micallef Ivana , Inwards David J. , Habermann Thomas M. , Porrata Luis , Paludo Jonas , Bisneto Jose Villasboas , Rosenthal Allison , Kharfan-Dabaja Mohamed A , Ansell Stephen M. , Nowakowski Grzegorz S. , Farooq Umar , Johnston Patrick B.
Published: January 2024

Chimeric antigen receptor T-cell (CAR-T) therapy is the new standard of care in fit patients with refractory or early relapsed diffuse large B-cell lymphoma (DLBCL). However, there may still be a role for salvage chemotherapy (ST) and autologous stem cell transplant (ASCT) in certain circumstances (eg, lack of CAR-T resources, chemosensitive relapses, etc). We retrospectively studied 230 patients with refractory or early relapsed DLBCL who underwent ST and ASCT. Median line of ST was 1 (range 1-3). Best response before ASCT was complete response (CR) in 106 (46%) and partial response (PR) in 124 (54%) patients. Median follow-up after ASCT was 89.4 months. The median progression-free (PFS) and overall survival (OS) were 16.1 and 43.3 months, respectively. Patients relapsing between 6 to 12 months after frontline therapy had numerically better median PFS (29.6 months) and OS (88.5 months). Patients who required 1 line of ST, compared to those requiring >1 line, had better median PFS (37.9 vs 3.9 months; P = 0.0005) and OS (68.3 vs 12.0 months; P = 0.0005). Patients who achieved CR had better median PFS (71.1 vs 6.3 months; P
The efforts to improve learning result in integrated IPS with cooperative models of NHT types
Authors: Sari Monika , Rambe Yasir Maulana , Srizkiani Erin
Published: January 2024

Education is essentially a process of change for the better. The change process does not always go well. In learning practice, problems are often encountered related to not achieving the expected changes. Learning outcomes represent changes in the overall learning process that has been carried out previously. The problem that often occurs is low student learning outcomes. This research was conducted to improve student learning outcomes by implementing the Numbered Heads Together (NHT) Cooperative Model in social studies learning. This research uses an action study (action research) on class VII students of SMP IT Ar-Rislah Batam in two cycles. Research data was obtained through the distribution of test instruments, observation and documentation. After the information was obtained, the results were reviewed through descriptive statistical analysis. The research results show that the application of the Numbered Head Together (NHT) cooperative model in social studies learning makes it easier for teachers to achieve learning goals and is able to maximize student learning outcomes. The average value of learning outcomes obtained by students experienced a positive increase. In the pre-cycle stage it was 71.6, in the first cycle it was 80, and in the second cycle it rose to 88. So, the target set at ≥ 90% for the standard of completeness of classical student learning outcomes and ≥ 75 average scores for individuals has been achieved.
X Users’ perspectives toward the use of alternate universe as an online platform to improve EFL writing skill
Authors: Bunga Rara Jingga , Warni Silih
Published: January 2024

The purpose of this study to investigates the perspective of fanfiction readers on Twitter to improve their daily writing skills through Alternate Universe. This study used a qualitative descriptive method to obtain data from interviews. The type of method is a phenomenological approach by exploring the participant's subjective perspective on the Alternate Universe phenomenon on Twitter. The researcher interviewed five sources of Twitter users based on criteria have been settled, such as age, how often they read, how they felt about reading Alternate Universe, and their opinion about the Alternate Universe phenomenon. Data analysis applied consists of reduction of data, display of data, and conclusion illustrating or verification. The researcher used a variety of data-gathering procedures, such as in-depth interviews, to collect data or obtain information in a more detailed manner. The results of research through in-depth interview process with various informants' backgrounds. Based on interviews, they get heartfelt every time they read AU. Also, Alternate Universe can provide them with new knowledge. Thus, they could learn something new, such as new vocabulary, and discover motivation to write neatly.
The Correlation between Reading Strategies and Reading Comprehension
Authors: Manurung Sulastri , Ariyanti Anita , Yana Dewi , Sinaga Juwita Boneka , Adam Adam
Published: January 2024

Indonesian students continue encounter difficulties when it comes to reading English academic materials as English is their foreign language. The study aims to explore the reading strategies employed by English as a Foreign Language (EFL) students in order to improve their reading comprehension and to determine whether a significant correlation exists between reading strategies and reading comprehension. The study involved 60 participants from one senior high school in Batam, Indonesia. The study utilized Survey of Reading Strategies (SORS) and reading comprehension test. The Kolmogorov-Smirnov test was performed to determine the normality of the data distribution while Pearson correlation was utilized to investigate the interrelation among the variables. The results showed that students most commonly employed problem-solving strategies when reading and there was a significant correlation between reading strategy and reading comprehension. The findings suggest that students who employ a variety of reading strategies, including problem-solving strategies, support reading strategies, and global reading strategies, perform better on reading comprehension assessments. The study made a significant addition to the field of English language teaching by highlighting the need of raising EFL students’ awareness and teaching them proper reading strategy for comprehending scholarly texts.
Optimizing the Blood Donation App with Gamification Using User-Centered Design
Authors: Sari Rida Purnama , Fatudin Arif , Saputro Rujianto Eko , Arifudin Dani
Published: January 2024

In today's digital era, motivating the younger generation to participate in routine voluntary blood donations is a significant challenge in the health sector. This research aimed to develop a gamified application called Gamified Blood Donation (G-BlooD), designed using the User Centered Design methodology. This application integrates gamification into the blood donation process, with features including donor location information, available blood stock data, and individual donation history. Using gamification elements such as challenges, ranking boards, and emblems enhanced user interactivity and motivation. Evaluation of G-BlooD demonstrated its effectiveness in achieving this goal; it scored 75 (Grade B) on the System Usability Scale (SUS), indicating good usability, while an average total index calculation from all responses on the Likert scale of 84.125% underscored its success in motivating younger generations towards regular blood donations. These results suggest combining digital technology with gamification can encourage recurring voluntary blood donation among younger generations. This research opens avenues for further exploration into leveraging digital technology to address other public health concerns.
Improving the Accuracy of Heart Failure Prediction Using the Particle Swarm Optimization Method
Authors: Yuliandari Dewi , Yudhistira Yudhistira , Wuryanto Anus , Sidik Sidik , Ayu Sariasih Findi
Published: January 2024

Malfunction of the body's organs, heart failure, makes a person and those closest to them feel worried, which will result in the person's death. There are too many deaths caused by this deadly disease every year. The main problem throughout the world is heart disease, the death rate of which is getting higher and higher and is uncontrollable for various parties due to many factors, especially in terms of knowing it early or not being able to predict it accurately. Therefore, the aim of this research on heart failure problems is to improve heart failure predictions with optimal accuracy, namely the neural network method with the particle swarm optimization method. Previously, heart failure prediction research had been carried out using several methods, but here we will increase the accuracy of the methods that have been carried out. After the testing process on the neural network method and after being optimized and getting results from the particle swarm optimization method, the accuracy increased with an increase of 08.35%. As well as increasing AUC results with an increase of 0.067%. From the results of increasing the accuracy of the neural network method, testing the particle swarm optimization method on heart failure disease data can be used as a reference for stakeholders.
Information System Strategic Planning To Improve UINSU Medan Service Performance
Authors: Ridwan M , Siregar Saparuddin
Published: January 2024

Facing increasingly rapid technological developments, UINSU Medan's efforts must be supported by developing existing information systems to meet the needs of the community and community. Currently, even though it has implemented an Information System in its activities, UINSU Medan does not yet have an Information System plan for the next 5 (five) years (2023-2027). It is hoped that this SI strategic planning will be able to improve the performance of UINSU services related to the Tri Dharma of Higher Education. The method used in this research is a qualitative survey. Data collection was carried out by observation, interviews, and literature review. The research informants are the managers of the UINSU Information Technology and Database Center (PUSTIPADA), and employees involved in the Information Systems section as well as service users such as students and lecturers. The stages of this research use Anita Cassidy's approach which consists of the visioning phase, analysis phase, direction phase, and recommendation phase. The data obtained was then analyzed using Value Chain analysis, SWOT, Porte's Five Forces, and other supports which were then confirmed by Focus Group Discussion with competent parties. This research recommends an Information Systems roadmap for UINSU Medan consisting of 34 integrated applications to be developed within 5 (five) years from 2023-2027.
Improvement of Kernel SVM to Enhance Accuracy in Chronic Kidney Disease
Authors: Wijaya Ganda
Published: January 2024

Chronic Kidney Disease (CKD) is a highly serious health issue, affecting millions of people worldwide. Early diagnosis and accurate prediction of chronic kidney disease are key factors in successful treatment. One of the approaches used for diagnosing this disease is through machine learning algorithms, specifically the Support Vector Machine (SVM) method. By collecting CKD data that includes various clinical parameters, initial kernel selection as well as various kernels are tested. However, the accuracy of the SVM method can be further improved for better diagnosis. The objective of this research is to enhance accuracy, optimize parameters, and improve the SVM kernel by incorporating the Particle Swarm Optimization (PSO) algorithm. The results of this study indicate that the use of PSO method to improve SVM kernels can significantly enhance accuracy in CKD diagnosis compared to conventional SVM approaches, potentially aiding medical practitioners in early disease diagnosis and better CKD management, which in turn can improve patient prognosis and quality of life
Methods for Development Mobile Stunting Application: A Systematic Literature Review
Authors: Karim Hildamayanti , Ariatmanto Dhani
Published: January 2024

Stunting is a growth disorder in children. Stunting is one of the indicators of failure to thrive in toddlers caused by a chronic lack of nutritional intake in the first 1,000 days of life, from a fetus to a child aged 23 months. Based on data from the Asian Development Bank (ADB), in 2022 the percentage of stunting prevalence occurring in children aged <5 years in Indonesia reached 31.8%. So Indonesia is ranked 10th in Southeast Asia. The object of this review is to review the current literature and help researchers to find out what methods have been used in making stunting prevention applications. In a systematic search of the literature using quality databases including SpringerLink, ScienceDirect, and IEEE Xplore. The paper included in this review is a stunting prevention application information system by describing the methods most often used by researchers in making the stunting prevention application information system. There were 41 results based on the exclusion of titles and abstracts, based on the introduction and exclusion of conclusions there were 35 results, so we included 12 results for the full-text exclusion in the final analysis. So that the popular method used by researchers in Android-based stunting applications is the prototype method. Compared to other methods, prototyping is more suitable for systems that are made based on user needs.
Sentiment Analysis by Using Naïve Bayes Classification and Support Vector Machine, Study Case Sea Bank
Authors: Christian Yefta , Wibowo Tony , Lyawati Mercy
Published: January 2024

Information technology is developing at a rapid pace, changing people's lives, particularly in the financial sector where customer demands are rising, and banks must innovate to convert from traditional to technological banking systems while also increasing competency and efficiency through improved services. Innovations in digital banking have arisen in Indonesia as a result of technical progress. SEA Bank is one such digital bank; it was established in Indonesia in 2021. An app that may be found on the Google Play Store is used for all transactions. However, there are instances when the application's performance falls short of users' expectations, which prompts some users to voice their dissatisfaction. In order to determine if the evaluations are either beneficial or detrimental, the author therefore carried out a sentiment analysis study on SEA Bank using the Naïve Bayes classification and Support Vector Machine techniques. This was then implemented on a website utilizing the Flask framework. In the experiments with 90% training data, 10% testing data, and k = 10, the results of this study demonstrated that the sentiment classification process using the SVM algorithm was the best classification algorithm for evaluating its accuracy, precision, and recall values of 93.99%, 94.60%, 98.87%, and an F1 score of 96.69%.
Implementation of K-Means Clustering in Food Security by Regency in East Java Province in 2022
Authors: Tuslaela Tuslaela , Rusdiansyah Rusdiansyah , Supendar Hendra , Suharyanti Nining
Published: January 2024

Food is the main need that society must fulfill. If food security is disrupted, it will have a negative impact on the nation's life. The agricultural sector has an important role in West Java Province. This province has a large area of agricultural land, so it has high potential to produce abundant agricultural production. However, knowing the adequate number of farmers is very important. Therefore, the implementation of K-Means Clustering can make a significant contribution to the East Java Provincial Agriculture Service in grouping farmers by district. To achieve optimal results, determining the best K value needs to be considered carefully. K-Means Cluster Analysis is a method of non-hierarchical Cluster Analysis that groups data into one or more groups. Data with the same characteristics is grouped into one cluster and data with different characteristics is grouped into another cluster. The data used in this research are land area and rice production in the Regency of East Java Province in 2022. Based on the results of research with the object of Food Security, it can be concluded that, the results of the analysis of the application of manual data mining calculations in Excel Software using the K-Means Clustering method, resulted in two types of clustering in the form of C0, namely the Highest Land Area and Production group with 4 districts: Jember Regency, Ngawi Regency, Bojonegoro Regency and Lamongan Regency, for C1 clustering, namely the Lowest Land Area and Production group with 25 districts in East Java Province
Decision Making Model for Temple Revitalization in Bali Using Fuzzy-SMARTER Combination Method
Authors: Erlina Putri Ni Putu Mita , Sudipa I Gede Iwan , Wiguna I Komang Arya Ganda , Sarasvananda Ida Bagus Gede , Sunarya I Wayan
Published: January 2024

Bali is dominated by Hindus and temples as places of worship. Revitalization is carried out periodically in order to preserve the temple. Many factors are taken into consideration in revitalization decisions so that they can be approved by a group or government. Through the decision-making model of temple revitalization in Bali, the entire complexity of decision-making factors can be integrated so as to produce an objective priority ranking of improvements as supporting data for a revitalization decision. The combination of fuzzy sets and the SMARTER (Simple Multi Attribute Rating Technique Exploiting Rank) method can help solve unstructured problems in determining temple revitalization decisions. The calculation between the Alternative sacred building and the complexity factor criteria with a final value of more than 0.5 is included as a revitalization priority suggestion.
Enhancing Least Significant Bit Steganography Image Fidelity Using Brotli Compression
Authors: Prayogo Ariel Immanuel , Nugraha Adhitya , Novanto The Fandy , Kurniawan Joshua Calvin
Published: January 2024

The rapid growth of technology has provided extensive convenience and openness in accessing information, yet this hasn't been balanced with an equivalent enhancement in information security. Steganography plays a crucial role in concealing and protecting data, with the Least Significant Bit (LSB) method being a commonly used algorithm that operates by substituting the least significant bits in the image pixels with the bits of the data to be hidden, aiming to preserve the image quality. This research aims to enhance the quality of the steganography result using LSB by employing the Brotli compression technique, coupled with increasing image's capacity. Brotli compression aims to reduce the size of the resulting stego image by combining embedded data that share identical values. Experiment results will be obtained by comparing the original image with the stego image using metrics like Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), and Structural Similarity Index (SSIM). The experiments successfully demonstrated that the integration of LSB with Brotli compression outperformed the regular LSB method, showing a 6.64% increase in PSNR, followed by a decrease in MSE by approximately 63.79%, and an increase in SSIM by around 0.0039%. This was accompanied by a continuous increase in compression values depending on the input data size. These results indicate that the integration of LSB with Brotli compression was successfully implemented to enhance the fidelity of the stego image
Improvement Master Data Management : Case Study Of The Directorate General Of The Religious Courts Of The Supreme Court Of The Republic Of Indonesia
Authors: Alfiandi Rama , Ruldeviyani Yova
Published: January 2024

Implementation of Master Data Management (MDM) in an organization aims to help the process of consolidating and integrating various master data sources into one separate source of truth, as well as helping to overcome data complexity that occurs in the process of synchronizing, consolidating and cleaning data from redundancy. The main obstacle at DG Badilag is that data is spread across various systems, in different formats, and is not well integrated. The aim of this research is to improve master data management at the Directorate General of Badilag using MD3M which has an impact on a more transparent, efficient and just justice system . To improve master data management, it is necessary to measure the maturity level with use Master Data Management Maturity Model (MD3M) by Spruit and Pietzka. The results of the assessment show that the MDM maturity level at the Directorate General of Badilag is 0 with an implementation level of 73% (48 out of a total of 65) of implemented capabilities. From these results, recommendations were prepared to increase the maturity level of the Directorate General of Badilag to level 2 in the three designated focus areas, namely strengthening data management in all aspects, from data structure, data quality and data protection. DG Badilag already has awareness in master data management and can increase MDM maturity to a higher level by implementing capabilities that have not been implemented and implementing activities that have not been implemented.
Multilayer Perceptron Performance Analysis in Liver Disease Classification
Authors: Pradipta Muhammad Iqbal , Situmorang Zakarias , Sembiring Rahmat Widya
Published: January 2024

Liver disease is a liver disease caused by viruses, alcohol, lifestyle and others. Someone often does not realize or is late to know liver disease so that when examined liver disease is severe, it would be better if treatment is done early by knowing the symptoms suffered. Data mining can help diagnose liver disease more easily, especially to help doctors determine whether patients suffer from liver disease or not, with symptoms almost close to liver disease. The process of diagnosing liver disease is carried out by a classification process and the result is that the patient suffers from liver or not. This research uses a data mining classification method using an artificial neural network method, namely Multilayer Perceptron. The Indian Liver Patient Dataset (ILPD) used in this study was obtained from the UCI Machine Learning Repository. The division of the data set over the training data and test data is done by Cross Validation. Performance measurement of the method uses confusion matrix. Based on the research conducted, it was found that the application of Multilayer Perceptron resulted in varying accuracy based on testing with different Fold values with the highest accuracy of 83.70% when the Fold was 7, and the lowest accuracy of 80.57% when the Fold was 3. Then the average accuracy of all Fold tests is 82.13%
Information Security Evaluation of Data Centre Architecture Using COBIT 5
Authors: Nurbojatmiko Nurbojatmiko , Irahman Muhammad Shidqa , Nashikha Ainun , Ramadhan Raihan Lail
Published: January 2024

Pusat Teknologi Informasi dan Pangkalan Data (Pustipanda) UIN Jakarta is an institution in charge of managing all information systems and data management for UIN Jakarta. However, security issues are still one of the problems faced by Pustipanda today, such as data leaks, and websites that are often problematic. This research aims to assess the level of information security at the UIN Jakarta Pustipanda data centre using the COBIT 5 framework. Information security is very important in supporting organizational operations, especially facing cyber threats in the data centre environment. The research approach included document analysis, observation, and interviews with stakeholders at Pustipanda UIN Jakarta. Identification of information security weaknesses, assessment of compliance with security standards, and design of appropriate solutions are the subject of the research. It is hoped that the results will provide a comprehensive picture of information security in the data centre as well as concrete recommendations for improvement. The results of the research include an understanding of the status of information security at Pustipanda UIN Jakarta, as well as guidelines for improving information security in accordance with COBIT 5 principles. These efforts aim to reduce risk and protect the integrity, confidentiality, and availability of data in the data centre environment
Analysis of Goods Stock Using the Apriori Algorithm to Aid Goods Purchase Decision Making
Authors: Azis Nur , Sucipto Purwo Agus , Herwanto Agus , Munthe Era Sari , Irwanto Dola
Published: January 2024

After the covid-19 pandemic outbreak and the high uncertainty index during the covid-19 pandemic. The business world is experiencing a huge impact in addition to the sluggish interest of buyers is also limited in its movement. On this occasion, the researcher intends to provide an overview that can help business people, especially in purchasing goods that are useful for filling the stock of goods in the warehouse. To get maximum results and minimum error rate. Researchers use the Apriori Algorithm in analyzing stock items and use the Tanagra version 1.4 application. Research data used the sales history of the past 1 year here the data used is between May 2022 and April 2023. With a total itemset of 375. But after applying the Golden Rule (threshold), there are only 10 products with sales reaching 1623 items. This research produces a final ordered association based on the minimum support and minimum confidence that has been determined, namely 12 rules with a combination of 2 itemsets with a confidence value of 100%.
ENSURING STATE SECURITY THROUGH THE PRISM OF INTERACTION OF THE NATIONAL GUARD OF UKRAINE WITH OTHER SUBJECTS OF THE SECURITY AND DEFENSE SECTOR
Authors:   Kyiv Institute of the National Guard of Ukraine, Koba O. , Dudurich V. ,   Kyiv Institute of the National Guard of Ukraine
Published: January 2024

The article analyzes the content and essence of the concept of state security through the prism of interaction of the National Guard of Ukraine with other subjects of the security and defense sector. A number of scientific, theoretical and practical recommendations of organizational content to optimize the functioning of the relevant process are provided. The author substantiates that ensuring the state security is directly within the competence of all subjects of the security and defense sector of Ukraine, and in the conditions of active hostilities against the invader, the issue of consolidation of all forces and means available in this segment, including such a state authority as the National Guard of Ukraine, which at the same time being law enforcement, was established as a military formation, becomes particularly relevant. The author characterizes the content and essence of the concept of state security and outlines the mechanism for its provision, defining the role and place in it of the security and defense sector as a whole, as well as the National Guard of Ukraine as a central executive body and one of the relevant subjects. In addition, it is substantiated that the Law of Ukraine "On the National Guard of Ukraine" defines the legal status and range of its main powers, which directly form the field of competence in the activities of the relevant unit of the security and defense sector of Ukraine, but taking into account the critically large number of Ukraine's needs related to the implementation of both military and law enforcement (stabilization) measures, the issue of effective interaction of the National Guard of Ukraine with others becomes more urgent subjects of the security and defense sector of Ukraine. The prospect of further scientific research is to outline international analogues of mechanisms for ensuring state security by several actors at once, which takes place in the order of interaction, analysis of relevant empirical material and discussion of ways to implement relevant models in the national legal field.
CRIMINAL LIABILITY FOR COLLABORATIVE ACTIVITIES IN THE CONTEXT OF CRIMINAL LAW PROVISION RELATED TO STATE SECURITY
Authors:   Kyiv Institute of the National Guard of Ukraine, Komissarov M. , Komissarova N. ,   Kyiv Institute of the National Guard of Ukraine
Published: January 2024

The article examines the issues of implementation of the Law of Ukraine "On Amendments to Certain Legislative Acts of Ukraine on Criminalization of Collaboration Activities" No. 2108-IX dated 03.03.2022 in the context of ensuring the State security of Ukraine. The author analyses the elements of the crime under Article 1111. The author provides the features which distinguish this crime from other criminal offences. The author suggests approaches to improving the legal acts in the field of state security and criminal law through the use of successful legal and commonly used terms. The author considers the criteria which could serve as a basis for the creation and improvement of legislation in general and criminal law in particular. It is emphasized that since 2014, the issue of bringing to justice before the State and the people of Ukraine therefore citizens of Ukraine who actively cooperate with the aggressor country and whose actions are not covered by the crime under Article 111 of the Criminal Code of Ukraine "High Treason" has become very relevant in Ukraine. It is noted that, according to this Law of Ukraine "On National Security of Ukraine", state security is defined as the protection of state sovereignty, territorial integrity and democratic constitutional order and other vital national interests from real and potential non-military threats. It is emphasized that the key terms of the definition of state security are "security" and "non-military threats". It is argued that these categories indicate the priority of the legal plane of state security protection through legislative regulation of social processes which are potentially and actually dangerous for state and national security.
ISSUES OF STRUCTURAL AND FUNCTIONAL SYNTHESIS OF INFORMATION-ANALYTICAL SYSTEM FOR SUPPORT AND DECISION-MAKING ON LOGISTICS SUPPORT OF THE NATIONAL GUARD OF UKRAINE
Authors:   The National academy of hte National Guard of Ukraine, Kaplun Ye. , Semenko Ye. ,   National Academy of the National Guard of Ukraine
Published: January 2024

The article establishes that the implementation of an information and analytical system for supporting and making decisions on the logistics support of the National Guard of Ukraine is possible only if a single information space of the Ministry of Internal Affairs of Ukraine (as a metasystem) is formed. Such an information-analytical system will ensure the full-scale integrated use of distributed information resources and corporate knowledge systems that are or may be relevant to the processes of logistics support of the National Guard of Ukraine. It is shown that the functional services of the information-analytical system for support and decision-making on the logistics support of the National Guard of Ukraine should include two groups of transdisciplinary procedures, on the basis of which the component services of the information-analytical system are formed: these are the services of linguistic and semantic processing of information resources and transdisciplinary analysis and decision support. It has been established that the ontological-semantic group of services of the information-analytical system for supporting and making decisions on the logistics support of the National Guard of Ukraine includes transdisciplinary services that provide processing and appropriate transformations of unstructured textual information. The composition, content, and purpose of the ontological-semantic group of services of the information-analytical system for supporting and making decisions on the logistics support of the National Guard of Ukraine are determined. It is established that the ontological-analytical group includes the services of the information-analytical system for supporting and making decisions on the logistics support of the National Guard of Ukraine for the analytical activities of experts. The composition, content and purpose of the ontological-analytical group of services of the information-analytical system for supporting and making decisions on the logistics support of the National Guard of Ukraine are determined. Taking into account the essence, methods of implementation and specifics of the polyhedron processes considered in the article, the main recommendations for choosing the component configuration of the polyhedron processes of the information-analytical system for supporting and making decisions on the logistics support of the National Guard of Ukraine are developed.
PSYCHOLOGICAL FEATURES OF THE ACTIVITY OF OPERATORS OF UNMANNED AERIAL SYSTEMS OF TACTICAL CLASSES AND THEIR CONSIDERATION IN THE PRACTICE OF PROFESSIONAL TRAINING OF THESE MILITARY SPECIALISTS
Authors:   The National academy of hte National Guard of Ukraine, Pasichnyk V. , Shyrobokov Yu. ,   IVAN KOZHEDUB KHARKIV NATIONAL AIR FORCE UNIVERSITY, Savchuk �. ,   IVAN KOZHEDUB KHARKIV NATIONAL AIR FORCE UNIVERSITY
Published: January 2024

The article presents the results of theoretical and empirical research aimed at revealing in a holistic and systematic manner the psychological features of professional activity of operators of unmanned aerial systems of tactical classes. The authors established that such professional activity is objectively complex, clearly regulated, multifunctional, comprehensive, has an individual and collective nature of work, and contains elements of extremity in performing typical tasks not only in combat but also in everyday conditions, which is due to the presence of a few inherent stress factors which negatively affect its subject. The study proves that the performance of a wide range of professional tasks by an operator of unmanned aerial systems of tactical classes places high demands on his physical endurance, emotional balance, ability to concentrate and distribute attention, ability to switch from one task to another, requires a high level of professional competence, nervous and mental stability, rapid adaptation to activities in difficult conditions, moral normativity of behaviour, focus on achieving professional mastery, motivation for professional success, responsibility, personal organization, self-discipline, high level of involvement of volitional processes, ability to maximum mental productivity in conditions of emotional and physical tension. The work carried out allowed us to establish an array of individual psychological characteristics of the specialist under study, which are professionally important, and the main contraindications for a person to serve as a UAV operator in the Armed Forces of Ukraine and other military formations. The areas of applied application of the presented research material for a more complete practical implementation of the psychological component of the process of professional training of tactical UAV operators are presented.
PSYCHOLOGICAL RECOVERY OF UKRAINIAN MILITARY PERSONNEL AFTER A LONG PARTICIPATION IN HOSTILITIES
Authors:   The National academy of hte National Guard of Ukraine, Prykhodko I. , Matsegora Ya. ,   National Academy of the National Guard of Ukraine, Bayda M. ,   National Academy of the National Guard of Ukraine
Published: January 2024

With the beginning of the large-scale invasion of the armed forces of the Russian Federation, Ukrainian military personnel of the Defense Forces of Ukraine, after participating in combat operations, began to experience combat stress, which manifested itself in the form of acute stress reactions, affective and anxiety disorders, adaptation disorders, addictive and delinquent behavior, suicidal manifestations. Therefore, for such military personnel, after long-term participation in hostilities, it is necessary to carry out measures of psychological recovery. The developed seven-day "Invincibility Program" was implemented during 2022?2023 in a rehabilitation center located not far from the combat zone, where more than 3500 military personnel underwent psychological recovery. The purpose of the psychological recovery program for military personnel after participating in combat operations was to eliminate the negative impact of combat stress on the psyche of combatants, strengthen mental health and mobilize their psychological resources, improve adaptation to combat conditions, and return military personnel to combat activities as soon as possible. In order to carry out the psychological recovery of military personnel after the completion of combat missions, the testimony was formulated, which established the fact that the combatants experienced events that go beyond ordinary human experience, capable of traumatizing the psyche of any healthy person. The main measures included in the "Invincibility Program" were conducted in group form and consisted of three blocks: psychological, medical, and social. The program's activities led to an improvement in the mental state and positive significant changes in the well-being of its participants, the mobilization of psychological resources, and an increase in the resilience of military personnel to combat stress.
Assessment of the Relation Between Red Cell Distribution Width and Atrial Fibrillation in Type-2 Diabetic Patiens
Authors: Demir Aslıhan Dilara , Demir Orhan
Published: January 2024

We aimed to investigate the level of red cell distribution width (RDW), in type-2 diabetic patients with atrial fibrillation. Patients aged 18 to 80 years old who were admitted to the internal medicine and cardiology outpatient clinics were enrolled. The data of the patient were retrospectively scanned from hospital database. 105 people were included in the study as 63 patients with diabetes mellitus and atrial fibrillation and 42 patients with diabetes mellitus and no atrial fibrillation. It was found that the age factor was statistically significant in men, women, and all patients between the groups, and Hb, hba1c, and LDL were statistically significant in men and all patients. The  level of RDW is investigated  in 2 groups of diabetic patients with and without atrial fibrillation. However, there was no significant difference between the two groups.
RETURNING TO OFFLINE TEACHING AND LEARNING: WHAT IT MEANS FOR INDONESIAN STUDENTS AND TEACHERS
Authors: Setyaningsih Endang
Published: January 2024

During the early pandemic, teachers and students were abruptly forced to conduct teaching and learning remotely. Both were struggling to cope with the challenges in the emergency remote teaching (ERT) situation. It was quite common to hear students and teachers wishing to go back to school immediately for various reasons. After two years of remote teaching, some schools begin to open for face-to-face or offline learning. It is then interesting to know how the students and teachers responded to the school/ campus opening. This paper reports a small-scale survey involving 110 respondents, both teachers, and students at the secondary and tertiary levels. Thematic coding analysis was carried out to analyze the participantsâ€™ responses. This study revealed that 80% of the respondents opted for online distance learning over offline learning during the pandemic although they reported challenges of teaching and learning within the online mode. The percentage shifted after two years of distance learning. In terms of mode preference, 56% of respondents prefer to go back to offline mode but the remaining 44% want to stay in the online remote mode of teaching and learning. While the majority chose offline learning, several themes of concern emerged from the responses, and reverse eco-shock is the most prominent. As the students and teachers acknowledged the benefits and build comfort in the online teaching and learning environment, they indicate the reimaging of offline teaching and learning. It implies that the practice of offline learning will not be similar to that before the pandemic