Reviewerly/exHarmony huggingface dataset:
The Specifics of the Elective “School of Leadership” Using Repositories of Online Resources

Objective. Modern online library resources play an important role in the organisation and conduct of the School of Leadership elective. The purpose of this study is to consider the peculiarities of conducting the elective “School of Leadership” for applicants using online resource repositories. Methods. A comprehensive approach to the study of the problem led to the use of such theoretical research methods as the analysis of philosophical, pedagogical, psychological and sociological literature to identify the specifics of leadership and leadership competence, the analysis of repositories of online resources, synthesis, comparison, generalization of various scientific approaches to the basic concepts of the study and determination of the specifics of the organization and conducting the elective “School of leadership”. Results. The work clarifies the essence of the concepts “leadership competence”, “elective”, “elective class”, discloses the peculiarities of organization and conduct, main tasks, content modules, organizational and pedagogical conditions of the elective “School of leadership”. The work describes the knowledge and skills that students will be able to improve and develop thanks to a properly planned and organized elective using the resources of online repositaries. Particular attention is paid to the features of ensuring the effectiveness and efficiency of the elective for the formation of students’ leadership competence and the content of the elective “School of leadership”, which depends on the achievement of the set goal, aims and tasks for the development of student-leaders. Conclusions. The main results that were obtained within the framework of this scientific research should be considered the substantiation of the concept of “elective” and the description of the specifics of the organization and the conducting of the elective “School of leadership” for students. The results of this scientific research, as well as the conclusions formulated on their basis, are of practical value for scientists, teachers of educational institutions, psychologists and other specialists who are engaged in the study of leadership problems and the formation of leadership competence and the search for effective methods, means and forms of work for the development of applicants’ leadership potential.
Publications of the Taras Shevchenko Scientific Society as Historical Sources of Research on the Book Heritage of Ukraine

Objective. The purpose of the article is to study the history of the multidisciplinary publishing business of the fundamental Ukrainian organization of the 19th century – the Taras Shevchenko Scientific Society. The object is the scientific book heritage of the Society for 150 years, which is a powerful potential of the educational process and patriotic education of young people. Methods. In accordance with the tasks set, analytical and synthetic, systemic and structural, comparative and statistical methods of scientific research are developed and used. This article analyses the collections of rare and valuable editions of the scientific library of the Oles Honchar Dnipro National University (DNU), namely, the collection of publications of the second half of the 19th and early 20th centuries of the Shevchenko Scientific Society. Results. The research analyzes the entire collection of scientific works of the Scientific Society of the 19th and early 21st centuries, which is kept in the Oles Honchar Dnipro National University library. The editions of the 19th and early 20th centuries and a book collection of the Canadian branch of the National Academy of Sciences of the second half of the 20th century are valuable in terms of content. Special attention is paid to the study of sources on the history of Ukraine as records of the national book heritage. A selection of modern publications of the Society by subject is highlighted. Conclusions. One of the important activities of a scientific library is the disclosure and dissemination of information space regarding its collections. The book Heritage of the Taras Shevchenko Scientific Society is a unique primary source for studying the history of the formation of the national identity of Ukrainians.
International Cooperation in the Sphere of LIS: Analysing the Materials of the BOBCATSSS Conference

Objective. The article highlights the results of analysing the materials of the International Scientific Conference BOBCATSSS (2012–2023) within the framework of which current topics of library and information science, education, and practice are discussed. Methods. The study of international professional cooperation is based on the use of a complex of scientific methods, in particular: analysis and synthesis, static analysis, bibliometric analysis, and scientometric diagnostics. Results. The expansion of the geographical boundaries in international cooperation has been determined. The thematic aspects that were discussed during 2012–2023 are revealed. Attention is focused on international co-authorship as a priority direction of professional interaction. The peculiarities of project professional interaction in terms of quantitative, substantive, and organizational aspects have been revealed. It was established that the majority of international projects announced at the Conference are implemented on the basis of cooperation between universities of European countries. Conclusions. International cooperation of European countries develops, first of all, at the organizational level and is characterized by the joint participation of several universities from different countries for the preparation of the Conference. Secondly, we can observe the development of international research, which is manifested at the level of international co-authorship and international projects. Analysing the materials of the BOBCATSSS Conference attests to the innovative activity of European universities that train personnel for the information and library sphere and raises the issue of intensifying international cooperation of Ukrainian professionals and scientists.
K-Means Clustering with KNN and Mean Imputation on CPU Benchmark Compilation Data

In the rapidly evolving digital age, data is becoming a valuable source for decision-making and analysis. Clustering, as an important technique in data analysis, has a key role in organizing and understanding complex datasets. One of the effective clustering algorithms is k-means. However, this algorithm is prone to the problem of missing values, which can significantly affect the quality of the resulting clusters. To overcome this challenge, imputation methods are used, including mean imputation and K-Nearest Neighbor (KNN) imputation. This study aims to analyze the impact of imputation methods on CPU Benchmark Compilation clustering results. Evaluation of the clustering results using the silhouette coefficient showed that clustering with mean imputation achieved a score of 0.782, while with KNN imputation it achieved a score of 0.777. In addition, the cluster interpretation results show that the KNN method produces more information that is easier for users to understand. This research provides valuable insights into the effectiveness of imputation methods in improving the quality of data clustering results in assisting CPU selection decisions on CPU Benchmark Compilation data.
Service Recommendation Method based on Multi Model Fusion

&lt;p&gt;In recent years, the rapid development of service-oriented computing technology has increased the burden of choice for software developers when developing service-based applications. Existing Web service recommendation systems often face two challenges. First, developers are required to input keywords for service search, but due to their lack of knowledge in the relevant field, the keywords entered by the developers are usually freestyle, causing an inability to accurately locate services. Second, it is exceedingly difficult to extract services that meet the requirements due to the 99.8% sparseness of the application service interaction records. To address the above challenges, a framework for service recommendation through multi-model fusion (SRM) is proposed&amp;nbsp;in this paper. Firstly, we employ graph neural network algorithms to deeply mine historical records, extract the features of applications and services, and calculate their preferences. Secondly, we use the BERT model to analyze text information and use the attention mechanism and fully connected neural networks to deeply mine the matching degree between candidate services and development requirements. The two models mentioned above are further merged to obtain the final service recommendation list. Extensive experiments on&amp;nbsp;datasets demonstrate that SRM can significantly enhance the effectiveness of recommendations in service recommendation&amp;nbsp;scenarios.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Sales Analysis Using Apriori Algorithm in Data Mining Application on Food and Beverage (F&amp;B) Transactions

The current business landscape has compelled many companies to compete in boosting their company's revenue, particularly in the F&amp;B sector. Existing sales transaction data has not been fully maximized in determining the business strategy of companies. Therefore, the implementation of data mining is necessary to analyze and explore available data to discover new information that is more beneficial for the company. In this study, we analyze sales transaction data using the a priori algorithm method because this algorithm efficiently handles the data mining process on a large scale with a substantial amount of data. The results of this study indicate that the formed association rules can determine patterns of product purchases that are frequently bought together. The established association rules successfully combine sales transaction data into two-item combinations, namely green tea latte and french fries, with a support value of 16% and a confidence level of 83%. These rules can be used as a reference in determining the company's business strategy.
Implementation of Information Gain for Sentiment Analysis of PSE Policy using Naïve Bayes Algorithm

The Ministry of Communication and Information Technology of Indonesia (Kominfo) has established the Penyelenggara Sistem Elektronik (PSE) policy as a mandatory registration requirement for both domestic and foreign Electronic Systems (ES). As a result, Kominfo will impose sanctions on all ES by temporarily suspending their access if they fail to register by July 29, 2022, at 23:59 WIB. This policy has sparked both support and opposition among the Indonesian public, and it has become a topic of discussion, including among Twitter users. Therefore, sentiment analysis is employed as a solution to identify public concerns or issues regarding the policy based on negative and positive tweets. The objective of this research is to evaluate the results of feature selection using Information Gain and the Naïve Bayes Classifier algorithm in analyzing Twitter users' sentiment towards the policies of the Information and PSE of the Ministry of Communication and Information Technology. A total of 1153 lines of tweets were collected from the Twitter platform using the keyword "PSE Kominfo," which were then analyzed using the Naïve Bayes Classifier algorithm and Information Gain feature selection with three scenarios: 90:10, 80:20, and 70:30. Based on the evaluation using the confusion matrix, overall, Scenario 1 with a 90:10 ratio and Information Gain feature selection performed the best, achieving an accuracy of 79.7%, recall of 85%, and an F-1 score of 88%. However, the best precision was observed in Scenario 2 with an 80:20 ratio, reaching 92% due to the higher proportion of positive predictions made by the model compared to other scenarios.
Comparison of Naive Bayes Method with Support Vector Machine in Helpdesk Ticket Classification

The technical support department or helpdesk department is a unit that requires a quick response in handling its tasks. The company's helpdesk team can consist of several individuals who know specific or specialized issues. Typically, technical problems are handled with an application that can track issues based on tickets. Ticket queue systems are used to facilitate control over the actions of the service or repair provided by the team. Helpdesk applications assist in addressing issues reported by users and then help upper-level management distribute tasks and monitor the helpdesk team's performance, including providing solutions to users' various problems. This research aims to predict the placement of fields that serve assistance based on the corpus users provide in the natural language. Prediction modelling is done using the Naïve Bayes and Support Vector Machine algorithms. The modelling results show that the accuracy rate of helpdesk service prediction with the Naïve Bayes algorithm reaches 82.06%, while the accuracy rate of prediction with the Support Vector Machine algorithm reaches 85.30%.
Sentiment Analysis of the Top 5 E-commerce Platforms in Indonesia using Text Mining and Natural Language Processing (NLP)

This research attempts to depict a sentiment comparison of the top 5 E-commerce platforms in Indonesia by gathering the emotional tone behind sentence contents related to customer sentiments, customer experiences, and the brand reputation of E-commerce. Data were collected using Python 3.11.4 with the google-play-scraper library, extracted from user reviews/comments on each play store page of the top 5 E-commerce platforms in Indonesia. A sampling of 10,000 records was taken to form a long document term matrix (DTM) of 59,981,785 due to the limitation of CPU capacity for data matrix size. R Programming version 4.3.1 was employed for sentiment analysis in this study. It can be concluded that user comments or reviews on the top five (5) E-commerce platforms in Indonesia show positive sentences indicating user satisfaction (3664 sentences), neutral sentences indicating average user appreciation (2282 sentences), and negative sentences indicating user dissatisfaction (4054 sentences). At least with more positive and neutral sentences, it is indicated that 59.64% of E-commerce users in Indonesia express a positive opinion on the performance of the top 5 E-commerce platforms in the country.
Effectiveness of Implementing the Teams Games Tournament (TGT) Learning Model on the Communication Ability Students

This research aims to determine the effectiveness of implementing the Teams Games Tournament (TGT) model on students' communication skills. This research is a type of quasi-experimental quantitative research. This research design uses a post-test only control group design. The subjects of this research were students in classes IV A and IV B at MI Miftahul Huda Tayu, totaling 26 students in each class, taken using the Simple Random Sampling technique. The data collection technique uses interviews and non-test methods in the form of questionnaires. The data in this research was obtained through primary data and secondary data. Primary data in this research is in the form of interviews with class teachers and data in the form of student communication skills questionnaire results, which are analyzed using the t-test. Secondary data in this research consists of all information from reference books and scientific journals. Based on the t-test calculation, it is obtained -1.686 &lt; t count &lt; 1.686 and t count = -8.45, so it can be seen that the t count is not between the values -1686 to 1.686. Apart from that, this is reinforced by the results of hypothesis testing with the t-test. The results of the post-test t-test obtained Sig results. (2-tailed) 0.008 &lt; 0.05, which means there is a difference in post-test results between the experimental class and the control class. It can be seen that H0 is rejected, so it can be concluded that this means the Teams Games Tournament (TGT) learning model is effective for students' communication.
ANALISA DAN PERANCANGAN PENGEMBANGAN E-LEARNING DENGAN METODE DSDM (STUDI KASUS SDN 01 MANISREJO KOTA MADIUN)

In digital era technology development and information growing so fast, so it can’t be denied for all aspects and especially in education already using technology to support activities. The world of education really need a technology and information to support learning activities to improve the quality better of learning, making it easier to interact teacher with student for learning resource sharing activities and sharing theory. E-Learning is a solution that can be used to support learning activities. So,in this research aims to develop E-Learning which is expected to help teacher and students in managing class schedules, study material, quiz, attendance, and exam especially at SDN 01 Manisrejo Madiun City. The method using Dynamic System Development Method (DSDM) and UML for system design. From this study resulted in a proposed system analysis and design development system which can be developed into a complete system.
Management of Education Utilizing Technology for Schools in Southeast Asia

This research will examine and comprehend the function and impact of technology usage in the context of education management in Southeast Asian schools. In the rapidly evolving digital and information technology era, education in the region faces many obstacles and opportunities. This research employs a qualitative literature review methodology to comprehend how schools in Southeast Asia use and manage technology in educational contexts. Data collection requires searching for, selecting, and analyzing relevant literature based on topic accuracy, relevance, reliability, and quality standards. Data analysis entails identifying central themes, methods utilized in the literature, and pertinent findings. The findings indicate that education resource management is essential for enhancing the quality of education in Southeast Asia. Faced with obstacles such as unequal access to education, varying quality of education, and policy shifts, the efficient management and application of technology have emerged as a viable solution. The equitable distribution of educational resources such as facilities, teachers, and learning materials among schools in different regions ensures that every student has access to a quality education.
Student's Expressive Speak With Teacher in Vocational High School

This study analyzes the expressive speech politeness of students and teachers at An-Nur Bululawang Vocational School, Malang Regency. This study aims to determine the form of expressive speech politeness and the function of students' expressive speech politeness toward teacher speech at school. This research was conducted using a qualitative approach. This type of research is a type of pragmatic research. The data in this study are in the form of speech between students and teachers in expressive politeness at school. The data source for this research was in the form of recordings of students' and teachers' speeches, which were then transcribed in written form. Data collection techniques in this study used observation and recording techniques. Data analysis in this study used the Miles and Huberman interactive model in general, covering three stages, namely (1) data collection, (2) data reduction, and (3) data presentation. The results of this study indicate that (1) the forms of expressive speech between students and the teacher, namely declarative speech forms, imperative speech forms, and interrogative speech forms, and (2) the function of expressive speech politeness between students and teachers, namely the politeness function of expressive speech pleasure, thank you, apologize, complain, greet, praise, tease, and tease. The use of expressive politeness between students and teachers at school is used relevantly according to the context, and this expressive speech can help students convey emotional feelings to the teacher so that in the learning process, they easily achieve learning goals and can motivate students' development while at school.
REFLECTIVE ACTIVITY AS THE MOST IMPORTANT MECHANISM OF TRAINING FUTURE EDUCATORS

This article highlights the important role and importance of reflexive activity in the preparation of future teachers-pedagogues for professional activity in higher education institutions. Also, the content of reflexive activity, decision-making levels of students in this activity were analyzed and determined. The stages of implementation of the reflexive education program, which contributes to the development of the professional "I-concept" of thefuture educator-pedagogue and includes the activation of reflexive processes of personal and professional self-knowledge and self-determination, are described. The implementation of the reflexive education program was carried out in the form of innovative-reflexive practice, which includes three interrelated blocks.
The Influence of Reading Interest on the Ability of Writing Exposition Texts of High School Students

The purpose of this study was to determine the effect of interest in reading on the ability to write exposition texts of class X students of SMA Negeri 1 Tulung Selapan based on students' perceptions. The method used in this study is a quantitative method with a causality approach. Collecting data in this study using a questionnaire. The data in this research utilizes primary data, which is obtained directly from its source in the form of respondents' answers. The data source consists of students' perceptions regarding their reading interests and their impact on their ability to write expository texts. The population of this study was class X students of SMA Negeri 1 Tulung Selapan. Sampling was carried out using a purposive sampling technique. The sample for this research was 60 students of class X Science 1 and class X Science 2 of SMA Negeri 1 Tulung Selapan. The technique is to distribute a 1-5 Likert scale questionnaire. Data analysis in research includes validity testing, reliability testing, classical assumption testing, and hypothesis testing using a simple regression analysis model. The research findings show that there is an influence of interest in reading on the ability to write expository texts in class X Negeri 1 Tulung Selapan, South Sumatra. This is proven by the calculated t value of 4.460 &gt; t table of 2.000 with a significance value of 0.00 &lt; 0.05.
Education for Public Service: Some Remarks and Experiences of the 2022–2023 School Year

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