Reviewerly/exHarmony huggingface dataset:
Implementasi E-Learning Berbasis Edmodo untuk Meningkatkan Literasi Informasi Siswa

21st-century learning emphasizes that students have information literacy skills, namely the ability to use information more effectively and efficiently. This study aims to determine the differences in student learning activities, increase in student information literacy using Edmodo-based e-learning media, and students who do not apply Edmodo-based e-learning media and to determine student responses to learning using Edmodo-based e-learning media. The research method used is a quasi-experimental method with a pretest-posttest control group design. The research instrument uses test questions to measure information literacy, observation, and questionnaires. The research subjects were students of class X MIPA 4 and X MIPA 2 at SMA Negeri 1 Tukdana, with 28 students each. The results showed that student learning activities in learning using Edmodo-based e-learning media obtained an average percentage increase of 60%, this result was higher than students who did not apply Edmodo e-learning media by 55%, there was a significant difference in increasing information literacy. students who apply Edmodo-based e-learning media with students who do not apply Edmodo-based e-learning media, 86% of students respond positively to learning using Edmodo-based e-learning media. The conclusion of this study is that the application of Edmodo-based e-learning media can improve students' information literacy on the subject of environmental change.
Analisis Tingkat Literasi Teknologi Informasi dan Komunikasi Mahasiswa PGSD Di Kabupaten Sumedang

The development of information and communication technology is increasing. Globalization requires the implementation of technology in education, including intitutions of college. ICT literacy is a necessity for students for educational activities. This study aims to determine the level of ICT literacy of PGSD students. The method in this research is qualitative research with a survey research design. Data is collected using a questionnaire technique. The subject of this research is 100 PGSD students in Sumedang Regency. The results of this study showed: (1) Ownership of ICT devices is quite high category (70%); (2) The level of motivation to use ICT facilities (59%) of respondents agree that ICT is very useful for life; (3) The ability to operate technological devices is quite capable (61,3%); (4) The intensity of use of ICT devices (67%) ICT is used for task and learning activities; The level of ICT involvement in the learning process (60%) lecturers often use ICT to deliver learning materials.
Semantic Enterprise Architecture Oriented Test Case Generation for Business process

Background and Objectives: The area of enterprise architecture encompasses various domains, the most complicated of which concerns developing an enterprise business architecture. Although many state-of-the-art enterprise architecture frameworks describe the architecture by abstract levels, they still fail to provide accurate syntactic and semantic descriptions. Several previous conducted studies were looking for different objectives elaborated on modeling enterprise architectures. However, none of those studies tried to develop a modeling that generates test cases which would later be used for validation and/or verification. Therefore, the main contribution of this study is generating a set of test cases based on the descriptions yielded from enterprise business processes in early steps; then, the amount of later reviews and changes can be significantly lessened.Methods: Following the objective of accurate validation and/or verification of the enterprise business processes within an enterprise's architecture development, this paper proposes a new method based on the enterprise architecture design. Throughout the iterative cycle of the proposed method, initially, the enterprise goals will be extracted based on the TOGAF framework. Afterwards, it will be subjected to syntactical modeling based on the Archimate language. Then, semantics will be added to the syntactic model of the enterprise business processes based on the WSMO framework and formalize manually to B language by using defined transition rule. Therefore, in order to discover test cases, a set of test coverage will be tested on the formal model. Results: The proposed method has been implemented in the marketing and sales department of a petrochemical corporation, where the results show the validity and also the effectiveness of the method. Based on the implementation of our method on the selected case study, the details of the business process have been defined based on an enterprise level, the level of abstraction is decreased by syntactic and semantic modeling of enterprise architecture description, the formal descriptions created using the proposed transition rules for sampling.Conclusion: The proposed method starts from the goals of enterprises; therefore, the output samples are efficiently precise. By adding semantics to the syntactic models of enterprise architecture, the degree of abstraction has been decreased. By creating a formal model, the model can be subjected to sampling. For future work, it is suggested to use the proposed method for the automatic generation of codes.
POLITENESS STRATEGY IN REQUEST USED IN JAVANESE WEDDING CEREMONY

This study aimed at analyzing the types of politeness strategy in request which represented in Peningsetan/Srah-Srahan event of Javanese Wedding Ceremony. The descriptive qualitative method used to gain the findings of the data. The documentary transcription from recording that event was the source of the data. From that findings, 25 formed requests from 12 utterances has been analyzed. The data found were 12 utterances in the Peningsetan event of Javanese Wedding Ceremony. And from that utterances, 25 sentences classified as requests, which were found throughout transcribing methods, and the results are Bald-on record 4 (16%), and Positive Politeness 21 (84%), and for the Negative and Off-Record Strategy shared 0 amounts. Later on, the positive politeness was the dominant type of politeness since the wedding was a sacred ceremony, the using of positive politeness would be found massively. The instrument of this study was recording the event and transcribing them into list and marking. Positive Politeness dominated because of the events required manners, even in daily life, Javanese used low tones and more polite language to utter the meaning of the speaker.
Efektifitas Pembelajaran Bahasa Inggris pada Usia Anak Pra Tk Kenanga & Mujizat

The purpose of this research was to analyze the importance of studying English literature on kindergarten, to enhance children’s interest on studying English literature, improving their vocabulary, grammar, pronunciation, writing and listening for both the teacher and student by providing an interactive and educative studying media. This research was classified as a descriptive qualitative research. The output of this research was (1) integrated text and exercise book, (2) studying media such as flashcard, poster, compact disc with 13 educative movies, (3) empowerment, training, and development to the educator person.
Comparison of Training Behaviour and Performance of Reinforcement Learning based Policies for Dialogue Management

We present the results of a laborious comparison of four different reinforcement learning algorithms that are used to train policies for dialogue management. We have trained 32 policies by varying the concept error rate, the number of user dialogue acts, and the number of training dialogues. Data about the training behavior and performance of the trained policy in the evaluation are presented. Actor-critic leads to very good task success rates and notable shorter dialogues among the evaluated algorithms (actor-critic, REINFORCE, Q-Learning, and WoLF-PHC).
Case Study on Developing a High School Elective &lt;Film and History&gt; to Enhance Historical Literacy

This study aims to develop the course of < Film and History > as one of the high school career electives in response to the needs of students to cultivate history literacy. Specifically, it is expected to establish the direction and principle of course contents for enhancing historical literacy based on the film’s possibility of historiography and history education and the review of the course syllabus as a filed relevance by school teachers. The course of < Film and History > is designed to achieve three objectives. By learning and participating in this course, high school students will be able to decipher the nature of the history portrayed in the film, to develop understanding of narratives and techniques to visualize history and to learn historical literacy by reading, appreciating, writing, and producing film materials as history texts. The field-relevance review of the syllabus draft focused on whether it has the characteristics and status of high school career electives and whether it is possible to achieve the goal of cultivating historical literacy through films. The reviews of < Film and History > led to redefine its content and performance standards and finally improved the quality of course syllabus. The review comments helped to confirm and revise whether the course possesses competitiveness and validity as an elective among high school students. This case study illuminates the model of developing high school electives by focusing on the process of review of subject organization in the current curriculum, analysis and review of field needs, composition and review of course development directions and principles as a process of developing new high school electives.
Nature-inspired metaheuristic algorithms: literature review and presenting a novel classification

Over the past decade, solving complex optimization problems with metaheuristic algorithms has attracted many experts and researchers.There are exact methods and approximate methods to solve optimization problems. Nature has always been a model for humans to draw the best mechanisms and the best engineering out of it and use it to solve their problems. The concept of optimization is evident in several natural processes, such as the evolution of species, the behavior of social groups, the immune system, and the search strategies of various animal populations. For this purpose, the use of nature-inspired optimization algorithms is increasingly being developed to solve various scientific and engineering problems due to their simplicity and flexibility. Anything in a particular situation can solve a significant problem for human society. This paper presents a comprehensive overview of the metaheuristic algorithms and classifications in this field and offers a novel classification based on the features of these algorithms.
ON DEMAND: Jammin' Right Along: Using Google Jamboard to Engage Students Online

For instructors who traditionally teach in-person, the pandemic has presented new challenges, particularly how to engage students online. The presenters, who are teaching librarians and adjunct faculty members, primarily taught in-person before the pandemic and had to quickly adapt their in-person toolkit to the distance learning environment. Over the past two semesters, they have experimented with different tools and platforms for engagement, including digital whiteboards, which allow students to share ideas, demonstrate understanding, and collaborate with peers. During this session, they will focus on Google Jamboard, a collaborative digital whiteboard which presents an exciting alternative to Zoom or Blackboard Collaborates’ whiteboards. The presenters will detail how they have used Jamboards to facilitate synchronous learning activities such as concept maps, brainstorming sessions, reflections, and more. All participants will receive the Jamboard templates for the activities showcased in the video, which can be easily adapted for any class or presentation.Key Takeaways:1) Participants will be able to describe Google Jamboard features and tools for student engagement.2) Participants will be able to identify at least one Jamboard activity or feature to use in their own context.
Digitalization of Higher Education: Trendsand Their Influence on the Institution of Higher Education

The article, based on the analysis of publications related to digitalization of higher education, identified four trends associated with the introduction of digital technologies and tools in the educational process: the formation of a model of blended learning, the transition to online education, creating a virtual (digital) educational environment, and changing the approach to management of educational organization. These trends are interconnected, however, each of them has a specific impact on the higher education institution, which is illustrated. On the one hand, digitalization promotes openness, flexibility of education, increased student engagement in the learning process, and the development of a network model of interaction between universities. On the other hand, it leads to the creation of a new educational situation and the inclusion of new actors in the education system, which changes the configuration of relations between the main participants. Digitalization, requiring appropriate adaptation, introduces significant changes in the roles of teachers and students in the learning process. The transition to online education and creation of a virtual educational environment give rise to the need for changing the management of an educational organization. And if these changes do not take place, digitalization can lead to negative effects. The authors justify the need to systematize the social effects of digitalization of higher education and develops a research design for studying the social risks of transformation of the higher education institution under the influence of digitalization. The study is based on the strategy of a case study. A neo-institutional approach, emphasizing the cultural and cognitive aspect of the institute’s interpretation, was proposed as the methodological basis for the study. At the same time, the higher education institute is considered in the context of the social institute concept proposed by P. Berger and T. Lukman.
DESIGN OF WIRELESS INTERNET NETWORK FOR FISHING VILLAGE AND SWARNA BEACH TOURISM AREA

Indonesia's geographic diversity is a challenge in itself for technological developments that have a significant impact, with one of the main challenges being the unavailability of internet network accessibility in areas with very high contour diversity. Sawarna village is one of the areas that does not have the availability of internet network accessibility due to the diversity of contours, with the potential for marine tourism and fisheries from small fishing villages, the tourism, and fisheries sector can be increased if there is adequate internet accessibility. This paper aims to design a scheme to build an effective wireless internet for areas with high contour diversity, using two tools in the form of checking the network at the related location and network design cloud applications. This paper succeeded in designing an adequate wireless network in the area of Sawarna Village, with adequate coverage on the part of the coast which is a tourist attraction, as well as fishing village settlements.
A distributed big data analytics model for people re-identification based dimensionality reduction

Big data analytics is a vast domain includes intelligent processing systems. Intelligent video surveillance generates a huge volume of data; and unstructured data requires fast processing speed. In...
Decision Support System for COVID-19 Direct Target Cash Recipients Using the Analytical Hierarchy Process and Simple Additive Weighting Method

COVID-19 (Coronavirus Disease 2019) is a new type of disease caused by a newly discovered coronavirus. In 2020 the COVID-19 disease spread rapidly in Indonesia and cause many layoffs due to the economic downturn. The government has finally provided assistance to people affected by the COVID-19 pandemic, but its implementation still has weaknesses due to human error factors. The implementation needs the right decision support system to cover the human error factor. The Analytical Hierarchy Process (AHP) method and the Simple Additive Weighting (SAW) method are appropriate methods in making a decision support system for government assistance in cases of COVID-19. The Analytical Hierarchy Process (AHP) method is used to determine the score for each data from the candidates, and the Simple Additive Weighting (SAW) method is used to rank the candidates according to the score that have been obtained in the Analytical Hierarchy Process (AHP) method.
The Teaching of Writing in EFL Classes

Writing plays important roles in the context of English teaching as a foreign language in Indonesia. Writing is a communicative way of sharing observation, information, thoughts, or ideas with ourselves and others. Through writing, the language learners learn to communicate with other people, to understand them, to read what they have written, and to write to them. Writing as one of the language skills is not acquired naturally. Writing is considered the most difficult and complicated language skill to be learned compared to other language skills.  Learning to write fluently and expressively is the most difficult of four language skills for all students. In the teaching of writing, the English teacher should pay attention on some elements, they are: (1) understanding the purposes of teaching writing, (2) teaching five main stages in producing a writing; pre-writing, drafting, revising, editing and publishing, (3) teaching how to develop a paragraph which consists of three major structural parts: a topic sentence, supporting sentences, and concluding sentence, (4) employing appropriate techniques, such as brainstorming, quetioning, and clustering in their teaching, and (5) introducing some text type to the students, such as: narration, description, procedure, news item, report, recount, anecdote, hortatory exposition, analytical exposition, commentary, discussion, and explanation.
Cryptocurrencies: A bitcoin mainstream financial market (the world storm)

Cryptocurrencies have overwhelmed the world. In the beyond couple of years, the cryptocurrency market has changed into a standard monetary market. Cryptocurrencies forms of money have progressed significantly from when they were utilized exclusively by people who were carefully mindful, esteemed their security, and were not happy with the national bank's authority over their financial reserve funds. The quick and remarkable ascent in the worth of Cryptocurrencies forms of money is a demonstration of this reality. For instance, the worth of Bitcoin has developed by several of 2500 inside a limited capacity to focus 9 years! The market capitalization of all the digital forms of money set up is near $2 trillion. This implies that if the cryptocurrency market would be viewed as a public economy, it would be positioned eighth on the planet! Assuming specialists are to be accepted, this is only the start and inside the following not many years, we can anticipate that cryptocurrencies should quickly increment in esteem.
Is Shapley Explanation for a model unique

Shapley value has recently become a popular way to explain the predictions of complex and simple machine learning models. This paper is discusses the factors that influence Shapley value. In particular, we explore the relationship between the distribution of a feature and its Shapley value. We extend our analysis by discussing the difference that arises in Shapley explanation for different predicted outcomes from the same model. Our assessment is that Shapley value for particular feature not only depends on its expected mean but on other moments as well such as variance and there are disagreements for baseline prediction, disagreements for signs and most important feature for different outcomes such as probability, log odds, and binary decision generated using same linear probability model (logit/probit). These disagreements not only stay for local explainability but also affect the global feature importance. We conclude that there is no unique Shapley explanation for a given model. It varies with model outcome (Probability/Log-odds/binary decision such as accept vs reject) and hence model application.
THE NEW TECHNOLOGICAL ORDER AND EDUCATIONAL STRATEGIES

The development of modern technologies determines all spheres of public life, the economy, first of all. Education should not only keep up with technological innovations, but also be one step ahead of them. Since the mid-1990s, the reform of higher education has become permanent and, obviously, will be of decisive importance in the economy and politics over the next decades of the xxi century. Continuous retraining, retraining and education, stretching over the entire course of professional life, is becoming a familiar and no one is surprised by the forecast. The issues of regulating the directions of educational policy in the formation of a new technological way of life 4.0 are on the agenda. Is society ready to plunge into a new technological reality, protecting itself from technological threats and transformations of human nature itself?
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder.

Detecting unknown and untested scenarios is crucial for scenario-based testing. Scenario-based testing is considered to be a possible approach to validate autonomous vehicles. A traffic scenario consists of multiple components, with infrastructure being one of it. In this work, a method to detect novel traffic scenarios based on their infrastructure images is presented. An autoencoder triplet network provides latent representations for infrastructure images which are used for outlier detection. The triplet training of the network is based on the connectivity graphs of the infrastructure. By using the proposed architecture, expert-knowledge is used to shape the latent space such that it incorporates a pre-defined similarity in the neighborhood relationships of an autoencoder. An ablation study on the architecture is highlighting the importance of the triplet autoencoder combination. The best performing architecture is based on vision transformers, a convolution-free attention-based network. The presented method outperforms other state-of-the-art outlier detection approaches.
Longest segment of balanced parentheses: an exercise in program inversion in a segment problem

Abstract Given a string of parentheses, the task is to find the longest consecutive segment that is balanced, in linear time. We find this problem interesting because it involves a combination of techniques: the usual approach for solving segment problems and a theorem for constructing the inverse of a function—through which we derive an instance of shift-reduce parsing.
LibGuides: Communication Skills: ebooks

This secton looks at communicaton and presentation skills, their importance and how you can improve them