Reviewerly/exHarmony huggingface dataset:
Model Rancangan Pembelajaran Kooperatif Learning Team Game Tournament (TGT) pada Pelajaran Ilmu Pengetahuan Sosial di Sekolah Dasar

&#x0D; This research aims to describe the Cooperative Learning Design for the Learning Team Game Tournament (TGT) in the 6th grade Social Sciences Lesson on Export and Import Activities, explaining the advantages of the Cooperative Learning Design for the Learning Team Game Tournament (TGT) in the 6th grade Social Sciences Lesson on Export and Import Activities. This research method uses the library method by analyzing various books and journals related to the Cooperative Learning Design Learning Team Game Tournament (TGT) in Social Studies Lesson 6th grade Materials for Export and Import Activities. The conclusions conclude that: The TGT learning model is a learning activity that involves heterogeneous group learning both from background and academic achievement and taking games and systematic tournaments or competitions that will provide scores, standings, and champions for individuals or groups who succeed in getting the best score to foster a sense of fun and motivation in learning which aims to improve learning outcomes, improve memory, make students accustomed to using high-level reasoning. The self-confidence is high, reduce student deviant behavior in the classroom, for example disturbing friends, increased student motivation, improve students' understanding of certain subjects, increase kindness, sensitivity, and tolerance, both tolerance between students and tolerance between students and teachers. The steps of the TGT Learning Model are as follows: Presentation in class (classical), study together in teams, Games consist of questions with relevant content, after forming a team, children start competing in tournaments, calculating scores by seeing how many students can collect question cards from players who have done.&#x0D; Keywords: TGT (Team Games Tournament) Cooperative Learning Model Design, Social Science Lessons&#x0D;
Deep Learning Post-Filtering Using Multi-Head Attention and Multiresolution Feature Fusion for Image and Intra-Video Quality Enhancement

The paper proposes a novel post-filtering method based on convolutional neural networks (CNNs) for quality enhancement of RGB/grayscale images and video sequences. The lossy images are encoded using common image codecs, such as JPEG and JPEG2000. The video sequences are encoded using previous and ongoing video coding standards, high-efficiency video coding (HEVC) and versatile video coding (VVC), respectively. A novel deep neural network architecture is proposed to estimate fine refinement details for full-, half-, and quarter-patch resolutions. The proposed architecture is built using a set of efficient processing blocks designed based on the following concepts: (i) the multi-head attention mechanism for refining the feature maps, (ii) the weight sharing concept for reducing the network complexity, and (iii) novel block designs of layer structures for multiresolution feature fusion. The proposed method provides substantial performance improvements compared with both common image codecs and video coding standards. Experimental results on high-resolution images and standard video sequences show that the proposed post-filtering method provides average BD-rate savings of 31.44% over JPEG and 54.61% over HEVC (x265) for RGB images, Y-BD-rate savings of 26.21% over JPEG and 15.28% over VVC (VTM) for grayscale images, and 15.47% over HEVC and 14.66% over VVC for video sequences.
MENINGKATKAN KEMAMPUAN MENULIS CERPEN SISWA SMP NEGERI 1 DRIYOREJO MENGGUNAKAN MEDIA KOMIK PADA VIDEO POWTOON

This research is motivated by the low ability of grade 7 A students of SMP Negeri 1 Driyorejo in learning Indonesian, especially in the Basic Competence of "writing short stories". This study uses video powtoon as a solution to improve short story writing skills. Powtoon videos can also be used for various learning fields other than Indonesian. In this study, the data collection techniques used by the author include interview techniques, documentation techniques, observation techniques, questionnaire or test techniques. Data analysis in this study used a qualitative descriptive technique. The population in this study were students of SMP Negeri 1 Driyorejo and the sample consisted of 9 students. The results of the acquisition of the ability to write short stories for the seventh grade students of SMP Negeri 1 Driyorejo in the first cycle were below average, while the scores in the second cycle were above the average. The results of this study indicate that the ability to write short stories for seventh grade students of SMP Negri 1 Driyorejo can improve after applying comics media to video powtoon. Based on the presentation and the results of the discussion, educators can use video powtoon media to improve the ability to write short stories for class VII students of SMP Negeri 1 Driyorejo in particular and others in general.
Effects of the Number of Network’s Order Used in a Higher Order Neural Network on Time Series Prediction

Higher Order Neural Networks (HONN) with backpropagation algorithm is conducted for predicting the time series event, which is a challenging problem under investigation. Many factors can affect the results of time series prediction. One of the most important factors is the architecture of a HONN which consists of layer, network’s order and output layer. In this study, we are focusing on the numbers of network’s order (or hidden nodes for ordinary Neural Network). Other factors are kept unchanged. The network is also tested with few other metaheuristic learning algorithms and compared to Multilayer Perceptron. Experimental results demonstrate that the effects of the numbers of network’s order on time series prediction are significant. Together with proper network’s order setup, practical analysis of results shows that 5-5-1 for PSNN-MCMC and 6-4-1 for FLNN-MCMC are the optimal network combination of input-hidden-output. The accuracy rate for both network models is around 0.037% to 0.498%.
Development of E-learning Based on Augmented Reality (AR) on Reduction-Oxidation Reaction Topic

The concept of electrochemistry is based on reduction-oxidation (redox) reactions and electrolyte solutions. Where this material is difficult to understand because the aspects studied include submicroscopic aspects. It takes teaching materials that are able to display animations of redox reactions. This study aims to develop teaching materials based on Augmented Reality on Redox Reaction material. This type of research includes research and development (R&amp;D) using the ADDIE model with the stages of analysis, design, develop and evaluation. The product will be tested for validity through expert testing and field testing. The validation test of material, media and readability experts to students resulted in a percentage of 92.5%, 94.39% and 91.6% respectively or declared very feasible and very good for use in lectures with several revisions. It can be concluded that AR-based media is stated to be very feasible and very good for use in learning. It is hoped that further testing of the effectiveness of this media will be carried out.
ANALISIS KONFLIK TOKOH UTAMA DALAM NOVEL REVERED BACK KARYA INGGRID SONYA

AbstractThis research describes internal conflicts and eksternal conflicts in Inggrid Sonya’s Revered Back novel which is then used as teching material in the preparation of learning plans using the Revered Back novel teks. This research uses a descriptive method with qualitative research form. This study uses a literary psychology approach. The data source in this research is the novel Revered Back by Inggrid Sonya and the research data is in the form of internal conflict and external conflict in the form of words, phrases or sentences contained in the novel. Using documentary study data collection techniques and data cards as data collection tools. The technique of testing the validity of the data was carried out by observing persistence, triangulation, and referential adequacy. The first research results: internal conflicts of the main character, namely events that can cause feelings of sadness, hatred, depression, confusion, disappointment, hurt, and regret. Second: external conflict of the main character, namely conflict that occurs because of physical clashes between characters and arguments. Third: The Learning Implementation Plan (RPP) has been successfully prepared to teach basic competence 3.9 and basic competence 4.9 in class XII SMA, using the novel Revered Back by Inggrid Sonya.Keywords: Analysis, Conflict, Main Character Conflict, Novel
Factors of Shaping the Image of the Professions of the Future among High School Students

The paper reveals the concept of “the image of the professions of the future” and the relevance of its formation in modern life conditions. The factors influencing the formation of images of the future, as well as methods of studying the image of the professions of the future among high school students, have been determined. The image of the professions of the future, being one of the most important components of a holistic picture of the world, is a set of ideas about the profession, its value in society and about oneself as a possible representative of the professional community with the necessary competencies. The study of the process of shaping the image of the professions of the future in adolescents contributes to scientific ideas about the development of their worldview. The research in this area, which actualizes modern trends in the study of the characteristics of the younger generation, is presented. One of the important areas of interest for high school students is to study and plan options for their future profession. Scientists consider the image of the professions of the future as a connection between the current life situation of a student and the promising life aspirations of a high school student, which determine the possibility of their implementation in the future. According to the principles of career guidance, high school students are at the stage of studying professional growth, which includes crystallizing and clarifying their professional preferences, as well as making preliminary decisions about choosing a profession.
DEVELOPING LISTENING COMPREHENSION MATERIALS TO SUPPORT “BAHASA INGGRIS FOR THE ELEVENTH-GRADE” TEXT

This research aimed to develop listening comprehension materials to support the “Bahasa Inggris for the Eleventh-grade” textbook. This research was conducted on the eleventh grade students of SMA Negeri 1 Pontianak. The method of this research was ADDIE that was proposed by Branch, which consists of five phases; Analysis, Design, Develop, Implementation, and Evaluation with the exclusion of the Implementation and Evaluation phase. This material was designed as supplementary material to support the used coursebook, especially in listening class. The respondents in this research were the eleventh-grade students and an English teacher at SMA Negeri 1 Pontianak. The interview for analyzing phase was conducted in SMA Negeri 1 Pontianak. The researcher made the listening comprehension materials by using Microsoft PowerPoint. The listening comprehension materials were designed and developed for about two months. In the development phase, the researcher used internal evaluation to ensure that the materials are appropriate and useable. In conclusion, it was found that the listening comprehension materials are appropriate and useable to support “Bahasa Inggris for the Eleventh grade” textbook.
Solar Irradiance Prediction Model design by hybrid of ANFIS with Simulated Annealing Mechanism

The physical interaction between the hydrological variables (such as solar irradiation, evapotranspiration) with solar irradiance is highly nonlinear, stochastic, and complex.The solar power prediction models can be divided into two groups, namely, i) physical and ii) system theoretic.The main drawback of the physical model is the complexity of the models, which increases with increase in model parameters.Further, the development of these models is based on understanding of the physical processes in the system.On the other hand, the system theoretic model is based on data driven techniques, where the mapping or learning of the models is done through data itself.Here, the understanding of the physical process in model building is avoided to a large extent.For this SA and ANFIS, both Artificial Intelligence techniques are used to a great extent.
Influence of financial information systems on increasing competitive advantage: Evidence from Jordan

The study aims to measure the influence of financial information systems (FIS) on competitive advantage in organizations listed on the Amman Stock Exchange (ASE). To achieve the objectives of the study, a quantitative approach is used. The study sample adopted in this study is a self-administered questionnaire handled by a study sample of 66 financial managers, internal auditors, information systems managers, and heads of departments in organizations listed on the ASE, categorized by the following competitive advantage variables, including service efficiency, cost flexibility, learning organization, and service variety. The results of the study accept the main hypothesis stating that financial information systems can increase competitive advantage within organizations. In addition, the results show that the service efficiency and learning organization variables have a positive and strong relationship with FIS and are highly influenced by it on the one hand. On the other hand, service variety has a medium relationship, while cost flexibility has a weak and positive relationship. The study recommends focusing on training programs that support employees’ skills in using the financial information systems in all their forms, in line with continuing technological developments and activating creativity in the organization in all its forms to achieve competitive advantage.
Primary Educational Strategies in Times of Digital Curriculum

Our contribution is based on the most noteworthy results of a research project focusing on teaching strategies at a time when the contents of the primary education curriculum are becoming digital. The expansion of the digital content industry is forcing a paradigm shift. In this paper we analyse the strategies implemented by teachers of the fifth and sixth year of primary school in relation with the digitisation of curricular content. With this aim, we planned our research following ethnographic methodology, analysing a period of two years of a case study. The main data collection tools we used are the analysis of the centre’s documents and website, semi-structured interviews with different participants, and direct observation of fifth and sixth year primary education classrooms. We can infer from the analysis that technology facilitates processes of inclusion in the centre, enhancing collaborative and cooperative work. Furthermore, the use of digital devices promotes attention to diversity. The implementation of digital technologies in schools implies redefining teaching practices and teaching-learning processes.The results show that the addition of digital materials is a step forward in the centre’s attention to diversity, improving accessibility and overcoming the digital gap thanks to schools’ access to technological resources.
Development of Digital University Model in Modern Conditions: Institutional Approach

Currently, special attention is paid to the development of digital technologies. In the context of the pandemic, the remote, distance, digital format of work has become top requested. Those events coincided with the general trend towards total digitalization of all spheres of life, including education. New concepts have emerged and taken hold - digital education and digital university. However, a mechanism for the development of a digital university has not yet been proposed. In the present study, an institutional approach was used to analyze the problems of the development of a digital university. The research scheme was used: institutions - motivation - control. The results of the empirical study (questionnaire and survey of university entries and its partners) made it possible to identify the existing contradictions between the participants in university activities and the external environment in terms of assessing aspects of the digital development of the university, to highlight the most effective institutions, conditions of positive motivation and control mechanisms for successful digital transformation of a university. The authors propose their own version of the concept for the development of a digital university, introducing as the core of it a new scientific concept - infrastructure logic. They lay a foundation for the principles of infrastructure logic, formation mechanisms and approaches to the use of indicators of digital development based on infrastructure logic, directions for improving the strategy of digital development of the university 4.0. The conclusions and recommendations formulated in this study can be used by other educational systems and universities.
K-Means Cluster Analysis for Grouping Districts in South Sulawesi Province Based on Village Potential

Cluster analysis is an analysis in multivariable statistics that is used to group objects that have the same characteristics. One of the methods in cluster analysis used to group relatively large amounts of data is the K-Means method. In this study, the K-Means method was applied to classify sub-districts in South Sulawesi Province based on village potential. The variables used are the number of: Elementary School/Equivalent degree, Junior High School/Equivalent degree, Senior High School/Vocational School/Equivalent degree, Community Health Center/Pustu, Families without electricity, Villages/Urbans according to market presence, Villages/Towns that are passed by public transportation and Villages/Kelurahan that have lighting main road. The results of this study are that 3 groups are formed where the first cluster consists of 107 sub-districts that have high village potential, the second cluster consists of 16 sub-districts that have medium village potential and the third cluster consists of 184 sub-districts that have low village potential.
Augmented Reality for Student Learning Media: A Bibliometric Analysis and Visualization

Augmented Reality is a study that is now popular. Many researches theme have been published in various reputable journals. The purpose of this study is to provide an overview and visualization of Augmented Reality which is used as a medium of learning. This research is a qualitative research through descriptive analysis with literature review formed in bibliometric analysis which describes and visualizes ongoing phenomena as well as in the past regarding various topics related to Augmented Reality. Through the Scopus database source, there are 882 documents related to Augmented Reality were obtained from 2016 to 2020 and various data related to the number of documents by country, author, subject area, visualization of relationships between topics. Topics that are categorized as rare or have not been associated with AR will be an option for us to study more deeply so that it will give knowledge to the scientific of AR as a medium for student learning.
Tokenization and Lemmatization on German Learning Textbook Level A1 of CEFR Standard

This study aims to compare the number of vocabulary types and tokens contained in the German language learning textbooks Themen Neu, Studio D, and Netzwerk A1 level of CEFR standards and to describe the use of German Lemmatizer to identify the lemmas in the textbook. The SpaCy lemmatizes and parses the words. Both discussions with expert judgment and German language experts validate the data. Based on the analysis results, the number of vocabulary types and tokens in the three books in each chapter is always rises changes to always rises at the beginning, but increases and decreases unsteadily from the middle to the last chapter. In addition, the SpaCy lemmatizer is able to lemmatize and parse the form of the words and classify the word classes in German, although there are still errors in its analysis. Therefore SpaCy still has to improve the system in its dataset, to make a better analyze the form of lemmas and classify the word classes.
On the asymptotic behavior of linearly constrained filters for robust multi-channel signal processing

The Kalman filter (KF) is known to loose its optimality properties when the model used does not perfectly match the true system. Extending the use of linear constraints to this filter recently proved to be efficient to mitigate a large class of parametric model mismatch, through the linearly constrained Kalman filter and minimum variance filter (LCKF and LCMVF). However, the asymptotic performances of these new filters are still an open question. In this work, we bring a first answer to the latter problem in the case of measurement model mismatch. We show that both LCKF and LCMVF are equivalent to unconstrained filters in which the directions of the constraints are cancelled by projection, allowing a better understanding of their asymptotic properties. In particular, the steady-state mean square error, when it exists, is derived. The consistency of the filters with respect to nonlinear mismatches is also improved via new constraints. An array processing example is provided to assess the derived formulas, the consistency and performance of the filters.
Robotics for children

This article explores the issue of introducing children between six and ten years of age to robotics and investigates the use of robots in schools and in extracurricular activities. The central questions are 1) whether and how the introduction of robotics is addressed in political strategies and educational policies (RQ1), and 2) what the main actors in the introduction of robots in educational settings are (RQ2). Therefore, a pilot study in three European countries (Austria, Lithuania, Romania) was conducted, which included an analysis of national policy strategies, as well as interviews with three stakeholders per country. The article illustrates the specificities of the investigated countries presented as case studies and discusses them in a comparative way. The findings show that the investigated countries’ educational policies aim at mirroring the Digital Agenda for Europe and that two opposite approaches to implementation of robotics (bottom-up vs. top-down) can be identified.
INTERNAL CONTROL SYSTEM ANALYSIS ON ACCOUNT RECEIVABLES IN E-RN TRADING BUSINESS

Large bad debt will disrupt cash flow in the business. This study aims to determine how the implementation of COSO-based internal control in the E-RN Trading Business. This research was conducted in Pekanbaru City, Riau. The data used in this study are primary data and secondary data. Collecting data using observation techniques, interviews, literature studies, and questionnaires. The research method uses descriptive analysis, binomial test, and sign test. The test results show that the control environment, risk assessment, and supervision and monitoring have not been effective in the E-RN Trading Business, but control activities and information and communication have been running effectively in the E-RN Trading Business. Overall testing shows that the implementation of the E-RN Trading Business internal control system is still less effective. Recommendations for E-RN Trading Business implements policies to limit and monitor employee actions so as not to deviate, comply with existing regulations and policies, and improve employee performance, conducts an analysis beforehand and pays attention to receivables, regularly holds meetings after a problem is discovered, and conducts unannounced checks once a week so that fraud does not occur.