Reviewerly/exHarmony huggingface dataset:
Developing Digital Modules Based On Audio PPT Equation Tangent Circle Using Geogebra Application

The study aimed to develop GeoGebra-based interactive GeoGebra-based course modules and validate them using expert assessment. The research method used in this study is a research and development method using a 4-D approach. This approach includes four stages, namely Define, Design, Develop, and Disseminate. This research was conducted at MTs PKP and the development research time was carried out from January to March 2023. The results of this study show excellent module quality in aspects of content feasibility, learning quality, display quality, visual clarity, material presentation, language, use of GeoGebra, and visual skills. Trials for teachers and students also produced positive responses, with a very good percentage of success.
Preservasi pengetahuan terhadap kegiatan katalogisasi literatur aksara Jawa di Perpustakaan Balai Bahasa DIY

Cataloging Javanese script literature is a specific skill that cannot be done by everyone or librarians. This study aims to describe the efforts to preserve knowledge and good practices in the cataloging activities at the Perpustakaan Balai Bahasa DIY. We collected qualitative data by interview, non-participant observation, and documentation to collect data. Data analysis was carried out by collecting data, reducing data, presenting data, and drawing conclusions. The informants of this research are library coordinators and other related staff. The results of the study indicate that the preservation of tacit, explicit, and traditional knowledge is carried out at this institution. Knowledge preservation efforts need to be made into a structured activity so that the transfer of knowledge between librarians is more optimal.
Studi Bibliometrik Riset Gap Pada Tren Publikasi Tentang Peran Teknologi Digital Pada Perpustakaan

Academics including librarians need publications in order to develop their knowledge. There are so many uses of digital technology for library services that it leaves little novelty behind. This study aims to observe the research trends of preliminary studies related to digital technology and libraries in papers on the Scopus website. This study uses the bibliometric method for searching and analyzing data. The population was found to be around 2298. Then the population will be eliminated based on several inclusion criteria such as using English, only in the form of articles, and only for the field of social science studies. Samples were obtained around 1598 documents on the Scopus website. The results show that the most recent topic trends regarding the use of digital technology in libraries in 2018. This shows that there are no more papers on digital technology after 2018. In Scopus Paper indexed journals about digital technology, libraries globally have novelty/ high novelty if published in 2022 and beyond. In addition, there is not a single sub-topic related to human resources and their management in the library environment. This study also shows that the United Kingdom (UK) is the affiliate with the most citations, followed by the United States of America (USA), Pakistan and China. While the affiliation with the most papers with the highest citations is the USA.
Workshop on Open Citations and Open Scholarly Metadata 2023: apply now to participate!

We are pleased to announce that, after two online editions, the 2023 edition of the &lt;strong&gt;Workshop on Open Citations and Open Scholarly Metadata&lt;/strong&gt; will come back to &lt;strong&gt;Bologna&lt;/strong&gt;, on &lt;strong&gt;26-27 October 2023&lt;/strong&gt;. – https://workshop-oc.github.io. During the two-day event, researchers, policy-makers and scholarly publishers will gather in the historical location of the University of Bologna to take part in the plenary
Investigating the Adoption of Augmented Reality for Vocational Student Engineering Materials in Hybrid Learning

Education in Indonesia has experienced developments related to the use of technology. Learning on personal computers (PC) and smartphone technology devices is common, and it is also referred to as "hybrid learning." However, when researchers conducted a survey of SMK students in Surakarta, even though they had used personal computers or gadgets, they only used a few media software programs to study engineering material. Seeing this phenomenon, researchers want to identify students' needs for media software, namely mobile augmented reality. This identification aims to provide a critical initial analysis of the need for mobile augmented reality learning media software that is connected to a smartphone for engineering learning for SMK students. The research samples involved were students of SMK N 2 Surakarta and SMK N 5 Surakarta. Using questionnaires, field observations, and interviews as data collection techniques. The data obtained were analyzed descriptively. Define part of the 4D research model using the research method, and the research results show that SMK students in Surakarta require mobile augmented reality media in learning engineering material if hybrid learning is used.
ANALISIS GERAKAN LITERASI SEKOLAH TERHADAP MINAT BACA SISWA KELAS III SD NEGERI 1 TUNJUNGAN KABUPATEN BLORA

This study was motivated by the learning carried out SD Negeri 1 Tunjungan during Covid 19 is carried out online so that School Literacy Movement cannot be carried out.This literacy practice made students less interested in reading,lazy to learn to read. Early of 2023 the school literacy movement began to be implemented again SD Negeri 1 Tunjungan Study aims to determine the implementation of School Literacy Movement at the habituation stage SD Negeri 1 Tunjungan to find out the impact of the School Literacy Movement on students' interest in reading SD Negeri&#x0D; 1 Tunjungan.study uses a qualitative method.By using observation,interview,questionnaire and documentation.subjects of study class III students SD Negeri 1 Tunjungan.Data was processed by triangulation technique.Triangulation techniques is used to test the credibility of data which is done by checking the data that has been obtained from the same source using different techniques.results showed that the implementation of the school literacy movement SD Negeri 1 Tunjungan has been running well.This is evidenced by the results of distributing questionnaires,documentation and interviews with class III teachers and principals.Results of the questionnaire calculation of students' reading interest show the percentage of indicators of students' needs reading 91%,action find readings 81%, the pleasure reading 90%,the desire always read 75%, following what has been read 72%.Based on the results of study,the suggestion that can be concluded is schools improve facilities and infrastructure that support School Literacy Movement activities such as reading corners,libraries and reading books that can attract students to increase students' interest in reading.
The Application of Esa (Engage, Study, Active) to Increase Students’ Vocabulary Ability at SMP Rokita Sari Bangun Purba

This research is the application of the ESA method (Engage, Study and Active) to improve the English vocabulary of SMP Rokita Sari Bangun Purba students. The population in the study were all 31 class VII students. This research was conducted in class action research, with the Suharsimi Arikunto model. This study consisted of pre-cycle, cycle 1 and cycle 2. Each cycle has 4 stages: planning, implementing, observing, and reflecting. One cycle is carried out for 3 meetings and the pre-cycle is carried out in 1 meeting. The criterion for success in this study was if 85% of the student population managed to achieve a score of 70 (kkm score). In the pre-cycle, the average score achieved by students was 61 with a percentage of 35%. In cycle 1, the average student score was 74.3 with a percentage of 58%, this result had not been successful, so the research was continued. And in cycle 2, the average value of students reached 83.6 with a percentage of 87%. The results of cycle 2 have reached the success criteria, so the action on this research stops in cycle 2. Based on the data presented, it can be concluded that the ESA method (Engage, Study, Active) succeeded in increasing students' English vocabulary.
Expert System Diagnose Eye Diseases Using Case-Based Reasoning Method with Jaccard 3W Algorithm

The Case Based Reasoning method is a method that applies 4 stages of the process, namely Retrieve, Reuse, Revise, and Retain. The workings of the system in general are guided by the knowledge base possessed by the system which originates from cases that have been handled by an expert. Then the level of similarity is calculated with the new cases entered by the user using the 3W Jaccard Algorithm, based on the level of similarity of these cases, the system will issue the conclusions drawn. This research resulted in an expert system application to detect eye disease. The method used in calculating the Case Based Reasoning (CBR) method with the 3W Jaccard Algorithm. This application diagnosis types of eye disease based on the results of the largest percentage and can provide a solution to the eye disease you are experiencing.
The Effectiveness of Using Picture Series on Students’ English Writing Skills of Procedure Texts at SMA Masehi Sebiru Biru in Academic Year

&#x0D; This research deals the effect of picture series on students in writing procedure text. The purpose of this study was to determine the effectiveness of the use of picture series on students' English procedural text writing skills. This research was conducted with experimental research used in two groups. the experimental group used media in the form of picture series and control without using picture series. The subjects of this study were students of SMA Masehi Sebiru Biru class XI MIA 1 who would be the experimental group and XI IIS which would be the control group, where class XI MIA 1 consisted of 29 students and XI IIS consisted of 24 students. This study used a written test to obtain data. After analyzing the data, the average value of the two groups was obtained where the experimental group got an average score of 85 and the control group 79.1. Based on the calculation results show that using the media in the form of picture series is higher than without using picture series. Picture series is effectively used in students writing procedure text.
THE INTERPLAY BETWEEN BLENDED LEARNING AND STUDENTS' LEARNING MOTIVATION AND ACHIEVEMENT

This study aims to investigate the correlations between students’ perceptions on blended learning implemented in English teaching during the adaptation to the new normal, students’ motivations in learning English and students’ achievements in English subject. The participants of this study are 237 11th grade students of SMAN 1 Sukaresmi who had experienced blended learning method more than one year. This study uses the questionnaire adapted from model of Birbal et al. and Gardner’s Attitude/Motivation Test Battery, and IBM SPSS Statistic 27 to calculate the data. There is significant and positive correlation between students’ perceptions on blended learning implemented in English teaching at SMAN 1 Sukaresmi during the adaptation to the new normal and students’ achievements in English subject, between students’ motivations in learning English and students’ achievements in English subject, and between students’ perceptions on blended learning implemented in English teaching at SMAN 1 Sukaresmi during the adaptation to the new normal and students’ motivations in learning English. Partially, no influence is exerted by students' perceptions on blended learning implemented in English teaching at SMAN 1 Sukaresmi during the adaptation to the new normal on students' achievements in English subject. Meanwhile, the considerable influences are exerted by students' motivations in learning English on students' achievements in English subject. However, when they are together, they will have an effect of 21.1% on students' achievements.
KESULITAN BELAJAR SISWA DALAM BERPIKIR TINGKAT TINGGI BERDASARKAN TEORI NEWMAN

This study aims to describe students' learning difficulties, especially at the elementary school level, in solving higher order thinking questions based on Newman's Theory. This research is a descriptive research. The subjects in this study were 29 students of class IV at SDN Sananwetan 2. The data obtained were in the form of descriptive test results and results from student interviews which were analyzed qualitatively. The results of the student test scores were grouped into three consisting of students with high abilities (test scores between 88-100), students with moderate abilities (test scores between 75-87), and students with low abilities (test scores between 0-74). Then the researcher randomly selected one student from each grouped category. The results of this study are that there are 7 high ability students, 14 medium ability students and 8 low ability students. Newman's theory states that the indicators of error are reading, understanding questions, transformation, process skills and solving processes. From the results of the students doing the test, it was found that there were different errors from each subject.
ONTOLOGY-DRIVEN MEANS FOR PROCESSING AND PRESENTATION OF LARGE ARRAYS OF UNSTRUCTURED TEXTS

The subject of the article's research is methods of ontology-driven processing and presentation of unstructured texts in a global environment. The goal of the work is to improve the efficiency of automatic search, classification and selection of the necessary information contained in electronic publications in an unstructured form by developing a model, method and means of automated processing and transdisciplinary presentation of text documents created in Ukrainian, Russian and English languages. In accordance with the goal, the following tasks were set: to conduct an overview of models of processing and presentation of unstructured texts, to identify the advantages of information systems with an ontology-driven architecture, to develop a conceptual model and means for automated processing and transdisciplinary presentation of text documents, improve the method of recursive reduction, with the help of developed method and means to process a large array of unstructured texts (in particular information base of knowledge of scientific products (IBK SP), educational programs, as well as educational and research projects of the National Center "Junior Academy of Sciences of Ukraine"), to present them in a form that allows to reveal the quality and completeness of the knowledge system available in the databases and, thus, experimentally to confirm the effectiveness of the developed means. The conducted research is based on the following methods: systemological classification, algebraic-logical and axiomatic methods, the method of recursive reduction. The following results were obtained: the existing models of processing and presentation of unstructured texts were described, the technological aspects of the ontology-driven approach to the processing and presentation of large arrays of network documents were improved, the technology of forming ontologies of documents based on the representation of their taxonomies, connections between their contexts and multiple representations was developed, which provides effective search for information in unstructured texts. Conclusions: The advantages of ontology-driven means for processing and presentation unstructured texts are substantiated. The method of recursive reduction by constructing a transformation, which leads to the predicative form of ontologically given descriptions of information, gained further development. The idea of effective search, processing, classification and selection of the necessary information has gained further development.
VALUE STRUCTURE OF PROFESSIONAL TRAINING OF PROSPECTIVE ENGINEERS

The article examines the structure of professional training of prospective engineers in higher technical educational institutions in the context of implementation of the value approach. The analysis of scientific views on the problem of the implementation of the value approach in the training of technical specialists proved the strengthening of the value orientation of the educational process. The article reveals the relevance of the search for educational paradigms focused on the training of highly qualified specialists in the technical sphere, bearers of national culture, and leaders of humanistic values.&#x0D; We characterize modern trends in the education of technical specialists from the point of view of the formation of a professional and valuable attitude towards the engineering profession. The value approach is the basis of the training of prospective engineers, which is based on universal, national, cultural, and professional values. The essence, content, and structure of professional training of prospective engineers with the aim of forming professional value orientations are highlighted. Professional training of engineering specialists is considered as a process of integration of fundamental natural-scientific, humanitarian, and technical knowledge with the ability to carry out specific developments, ensuring their practical implementation in the production process.&#x0D; Value-oriented training of prospective engineers in higher technical educational institutions acts as a tool for value transformations of the individual and a means of making relevant decisions. The professional and value orientations of the prospective engineering specialist, which are formed in the process of humanitarian, engineering-theoretical, technological, practical, managerial, scientific-research, economic, economic-legal, and environmental components of training, are substantiated. The article proves the effectiveness of the harmonious combination and development of the researched training components in order to prepare a universal educated specialist in the technical field, a highly moral, spiritually developed, active, conscious citizen of his state.
Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation.

Deep learning models usually require sufficient training data to achieve high accuracy, but obtaining labeled data can be time-consuming and labor-intensive. Here we introduce a template-based training method to train a 3D U-Net model from scratch using only one population-averaged brain MRI template and its associated segmentation label. The process incorporated visual perception augmentation to enhance the model's robustness in handling diverse image inputs and mitigating overfitting. Leveraging this approach, we trained 3D U-Net models for mouse, rat, marmoset, rhesus, and human brain MRI to achieve segmentation tasks such as skull-stripping, brain segmentation, and tissue probability mapping. This tool effectively addresses the limited availability of training data and holds significant potential for expanding deep learning applications in image analysis, providing researchers with a unified solution to train deep neural networks with only one image sample.
Classification of Hearing Loss Degrees with Naive Bayes Algorithm

According to the World Health Organization (WHO), hearing loss is one of the fourth leading causes of disability. The number of people with hearing loss continues to increase yearly. This increase occurred due to delays in recognizing hearing loss, leading to delays in providing treatment. To solve this problem, one solution to deal with this is early identification to detect the degree of hearing loss. This research will use machine learning to classify the degree of hearing loss. The algorithm implemented in this study is naive Bayes. This study uses a data set from the Zenodo open access repository with 3105 raw data and 19 features. This study evaluates the performance of overall accuracy, precision, recall, and f1-score and classified four classes: mild, moderate, moderately severe, and severe. The methodology classification stages in this study include data preprocessing, data training, data testing, and evaluation. From evaluating the performance of the Naive Bayes algorithm, the classification results obtained the highest impacts in the form of 94% overall accuracy, 100% precision, 100% recall and 97% f1-score in classifying the degree of hearing loss.&#x0D;
Comparing the Performance of Data Mining Algorithms in Predicting Sentiments on Twitter

On Twitter, users can post tweets, videos, and images. It can, however, also be disruptive and difficult. To categorize the material and improve searchability, hashtags are crucial. This study focuses on examining the opinions of Twitter users who participate in trending topics. The algorithms K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) are used for sentiment analysis. The data set comprises tweet information on popular topics that was collected using the Twitter API and saved in Excel format. SVM and K-NN are used for data preparation, weighting, and sentiment analysis. With 105 data points, the study provides insight into user sentiment. SVM identified 99% of positive responses and 1% of negative responses with an accuracy of 80%. KNN successfully identified 90% of the positive responses and 10% of the negative responses, with an accuracy rate of 71.4%. According to the results, SVM performs better when analyzing the sentiment of hashtag users on Twitter.&#x0D;
The Application of Game Mechanics and Technological Trend in Game-Based Learning: A Review of the Research

The rapid development of information technology affects numerous aspects of human life, including education. An example of an IT application in education is game-based learning. Game-based learning has been implemented in various fields or subjects on various platforms. This is due to the potential of game-based learning to enhance student engagement in the learning process. However, the effectiveness of this method needs to be further studied. This systematic review of the literature aimed to explore the mechanics of games that are applied in current research on game-based learning, accompanied by the trend of technological use in research papers published in this domain. This study covered 30 journal and conference proceedings papers published from 2012-2022. The review was conducted using the Kitchenham method. The selected articles were then analyzed to determine the engagement model used in each paper (Feedback Model, Incentive and achievement model, and Progression Model). Findings included the trend of research in this field (technology applied to each research, on-line feature, study majors/subject) are displayed based on the time paper were published. The study result indicated that all previous research used at least one of the engagement models, with 12 articles using the three models. In terms of technology, it was found that the adoption of web-based technology has been increasing in recent years, including online features that have also increased, along with the study subjects who implemented game-based learning. In summary, game-based learning can be applied in a wide range of subjects and platforms with the support of its characteristic, making learning more flexible.&#x0D;