Reviewerly/exHarmony huggingface dataset:
Pelatihan Pembuatan Video Pembelajaran Kreatif dan Inovatif di Masa Pandemi Covid 19 Pada SMP N 2 Karanganyar Demak

The COVID-19 pandemic has brought changes to all sectors, including the education sector. The policy of learning from home in the midst of the Covid-19 pandemic has been carried out by schools in Indonesia. This policy is based on the Circular of the Minister of Education and Culture No. 4 of 2020 concerning the Implementation of Education Policies in the Emergency Period for the Spread of Covid-19. One of the contents of the SE is to provide an appeal to learn from home through online learning or distance learning. Like other schools, during this pandemic, SMP N 2 Karanganyar Demak is required to be able to organize distance learning that is good, easy to understand and not boring. Judging from the conditions in the field, there are still many teachers who have limitations in terms of access and use of existing technology. Because the material distributed in the form of presentation files and e-books requires a deeper explanation, learning videos are seen as the right solution. The effect of using video media in learning is very high because the more often teachers use learning videos, the stronger/higher the impact on student learning outcomes will be. Learning video training at SMP N 2 Karanganyar utilizes the Camtasia application which functions to record and edit recordings. Teachers are required to make learning videos according to the subjects they teach.
Development of Gamification-Based Flipped Learning in Mathematics Learning as an Effort to Overcome Learning Obstacles

This research was motivated because students experienced obstacles in learning mathematics in the Covid-19 Pandemic Era which affected learning outcomes. In addition, student activities in playing online games cause students to have no motivation to learn. This study aims to produce a digital learning design, namely gamification-based flipped learning and determine its feasibility. The research method was carried out using the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation) in mathematics, especially the Building Space material in Class V. In this study, data were collected through questionnaires, which were then analyzed by using two paired sample t-tests. The results of this study stated that the learning tools developed were appropriate both in terms of the Lesson Plan (RPP), Student Worksheets (LKPD), and learning evaluation instruments as well as comparisons of learning outcomes before using gamification-based flipped learning and learning after using flipped learning-based learning. gamification so that the development of gamification-based flipped learning in mathematics learning is valid, practical, and can be used to overcome learning obstacles experienced by students
Analysis of Early Reading Ability in Grade II Elementary School Students

The purpose of this research is to describe the analysis of an earlier reading ability at second grade of elementary school students as well as factors that affect students' earlier reading ability. Researchers use a qualitative approach with a case study type of research. The data sources in this study were grade 2 teachers and parents of grade 2 SD Negeri 045 /I Sridadi. The data collection techniques used in this study were observation, interviews, and document studies. The data obtained is then analyzed through the stages consisting of data reduction, data presentation, and verification / drawing conclusions. The results showed that out of 16 second grade students of SD Negeri 045/1 Sridadi, it was found that 6 students, namely JA, AC, MR, AI, DA, and MN experienced problems in the realm of an earlier reading ability such as : (a) not being able to recognize letters, (b) reading syllables, (c) spelling words, (d) stringing words into simple sentences, and (e) reading short texts. Those aspects are the benchmark for students to have an earlier reading ability. Then students' difficulty in reading is caused by several factors, namely: (a) lack of interest in learning, (b) lack of self-confidence, (c) preschool education, and (d) attention from parents.
E-Learning Mobile Development of Student Structured Learning Applications during the pandemic

During the Covid-19 pandemic, teaching and learning activities were threatened with a decline in the quality of world education, including the quality of education in Indonesia. Students and teachers cannot interact to carry out educational activities at school. Meanwhile, in the world of education, interaction and communication are very important for the growth and development of student knowledge. If this is lost, then one generation of students could be threatened by poor quality education services caused by the covid-19 virus. Although the internet has been developed in the world of education for a long time, there are still many schools that are still unable to develop it properly for students. This is evident when the national exams were held before the Covid-19 period, there were still many schools that did not understand and understood providing facilities directly to students. This is a challenge in itself for Indonesia when the covid-19 virus attacks and paralyzes all activities. Forcing all activities to be done inside the house and reducing all activities outside the home. Learning activities and examinations are important activities that are always the focus of the school every semester. This activity previously required students to be in school, but during the pandemic this should not be done due to the government's decision to limit the spread of the virus. All schools must think hard for a solution to this problem. Schools take an important role in school activities so that the quality of education services does not decrease drastically. Private schools are no exception, whose activities come from greater than that of students' parents. While many students' parents think that if there are no activities at school, the money for school payments will be postponed. Schools only have one choice so that the learning process and exams continue, namely by using an online application that can adjust national standards and school standards. Although there are many applications in circulation, many of these applications cannot be adapted to school conditions at a low cost. Mostly, if the school wants changes to the application, then the developer sets a lot of rates that the school cannot afford. Learning and examinations are activities where the administration must also exist for reporting by schools. The reporting format, of course, is different for each school with their respective systems. With the mobile application developed by researchers and implemented according to school administration, in general, learning activities and examinations continue to run with results that can be accounted for because they have reports that are adjusted by the school.
Hidden Image Watermarking based on Frequency Domain Technique

Digital media is one of the most shared, influenced and highly used forms of the medium in the 21 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> century. Its presence ranges from simple images, shared in a Peer-to-Peer network to a world-renowned newspaper that provides second to second update on events around the world at the comfort zone. With this ease-of-access and anonymity it is easier than ever to copy and claim someone else’s work as their own. This nefarious practice of copyright infringement has high stakes when monetization is involved, especially in a high-stake venture such as NFT (Non-fungible Token) based artworks that are not only meant to be unique but also should benefit the artists not the people who masquerades as the true owner of the said art. To avoid such malpractices, watermarking is one of the oldest yet most used methods of authentication techniques for images. It is more effective if it’s hidden in plain sight (most of the times within the image’s meta-data,) so that it wouldn’t affect the appearance of the image but provides the impact, nonetheless. Discrete Cosine Transform (DCT) algorithm based hidden image watermarking is implemented to focus more on domain frequency. Furthermore, Domain Frequency is extracted to transform the original image and to add the watermark. DCT is implemented to enhance the rate of watermark processing. The whole project, in their individual modules discuss Image processing, encoding the said output with the watermark image and decrypting the said resultant to verify the watermark. As said before, the applications are vast with the emerging technology of Web3 and blockchain backed projects.
INTERDISCIPLINARITY IN SCIENTIFIC RESEARCH: THE EMPLOYMENT OF TECHNOLOGICAL TOOLS IN DATA ANALYSIS WITHIN AN INTERDISCIPLINARY CONTEXT

This article aims to present the importance of using technologies in data analysis for scientific research in an interdisciplinary context. It is known that technology currently constitutes a tool in common between different areas of knowledge, which makes it an instrument of great relevance for both parties, as it facilitates the researcher to analyze large amounts of information in different areas in a technical, practical and technical way. minimizing the margin of error. These relationships between different areas of knowledge, especially within scientific research, are very important to have a better understanding of a subject under discussion, and to find explanations for such facts and questions. In view of this, to evidence such facts, bibliographical research was carried out as methodological procedures, in which already published works were used as a source, such as: articles, master's dissertation, doctoral thesis and books, to validate/relate in order to present the contributions of several authors on the proposed theme. Finally, the research findings could show that, with the advancement of technology, as discussed in the text, much software with the help of the internet and some electronic devices such as notebooks, tablets, smartphones, among other resources, have been favoring this type of work and providing the speed and precision in obtaining and analyzing data, improving the execution of tasks in an agile, precise and compensatory way.
A PEDAGOGUE’S FACILITATION COMPETENCY IN TEACHING FOREIGN STUDENTS

On the outcomes of analyzing the scientific literature on pedagogic facilitation, it is proved in the article that no issues concerning a higher education institution pedagogue’s facilitative competence in foreign students training have been raised by scientists; the notions of “competence”, “professional interests”, “facilitation”, “facilitator pedagogue”, “facilitation competence” are defined; the role of a facilitator pedagogue in forming persistent interest in foreign students to their future professional activity is disclosed, as well as requirements for his or her personality and professional traits; on the experience of work with foreign students, conclusion is made concerning the use of interactive methods of teaching at the lectures and in practical classes; an example is given of possible topics and questions to be discussed at trainings, pedagogical workshops on facilitation pedagogy; it is noted that a facilitator pedagogue is to apply creative approach to teaching foreign students, forming in them not only interest in future professional activity, but also the pedagogue’s facilitative competence.
Uncertainty-aware Panoptic Segmentation

Reliable scene understanding is indispensable for modern autonomous systems. Current learning-based methods typically try to maximize their performance based on segmentation metrics that only consider the quality of the segmentation. However, for the safe operation of a system in the real world it is crucial to consider the uncertainty in the prediction as well. In this work, we introduce the novel task of uncertainty-aware panoptic segmentation, which aims to predict per-pixel semantic and instance segmentations, together with per-pixel uncertainty estimates. We define two novel metrics to facilitate its quantitative analysis, the uncertainty-aware Panoptic Quality (uPQ) and the panoptic Expected Calibration Error (pECE). We further propose the novel top-down Evidential Panoptic Segmentation Network (EvPSNet) to solve this task. Our architecture employs a simple yet effective panoptic fusion module that leverages the predicted uncertainties. Furthermore, we provide several strong baselines combining state-of-the-art panoptic segmentation networks with sampling-free uncertainty estimation techniques. Extensive evaluations show that our EvPSNet achieves the new state-of-the-art for the standard Panoptic Quality (PQ), as well as for our uncertainty-aware panoptic metrics. We make the code available at: \url{https://github.com/kshitij3112/EvPSNet}
Design and Implementation of Energy efficient Error tolerant approximate adders and multipliers for Image Denoising applications

Abstract The authors have requested that this preprint be removed from Research Square.
Intrinsic Anomaly Detection for Multi-Variate Time Series

We introduce a novel, practically relevant variation of the anomaly detection problem in multi-variate time series: intrinsic anomaly detection. It appears in diverse practical scenarios ranging from DevOps to IoT, where we want to recognize failures of a system that operates under the influence of a surrounding environment. Intrinsic anomalies are changes in the functional dependency structure between time series that represent an environment and time series that represent the internal state of a system that is placed in said environment. We formalize this problem, provide under-studied public and new purpose-built data sets for it, and present methods that handle intrinsic anomaly detection. These address the short-coming of existing anomaly detection methods that cannot differentiate between expected changes in the system's state and unexpected ones, i.e., changes in the system that deviate from the environment's influence. Our most promising approach is fully unsupervised and combines adversarial learning and time series representation learning, thereby addressing problems such as label sparsity and subjectivity, while allowing to navigate and improve notoriously problematic anomaly detection data sets.
The Telegram notification system for improving library services Universitas Negeri Semarang

The pandemic period limits every activity, including library services, causing the communication distance between users and librarians to widen. Users often forgetting to return books, so the fines accumulated, and often forget and lose borrowed books. The communication distance between librarians and library users can be narrowed through an automatic reminder system to remind users of important information regarding fines, services, and others. This study aimed to know the Telegram notification system for improving library services. Universitas Negeri Semarang also supports the use of Telegram as a notification system. This study applied the Research and Development (RnD) method in The Senayan Library Management System (SLiMS) development, supported by an integration method using Middleware Integration. The use of the paired t-test in this study showed that this reminder mechanism successfully informed library members of the time limit for borrowing books and late fees. A significant relationship exists between before and after the installation of Telegram as a useful reminder system to avoid the accumulation of fines by customers. This reminder system was also beneficial to avoid users accumulating fines, it can be seen that the number of users who are late in returning books is decreasing as the notification system is implemented. Good communication between librarians and customers through an information system intermediary improves user service.
Open Problem: Properly learning decision trees in polynomial time?

The authors recently gave an $n^{O(\log\log n)}$ time membership query algorithm for properly learning decision trees under the uniform distribution (Blanc et al., 2021). The previous fastest algorithm for this problem ran in $n^{O(\log n)}$ time, a consequence of Ehrenfeucht and Haussler (1989)'s classic algorithm for the distribution-free setting. In this article we highlight the natural open problem of obtaining a polynomial-time algorithm, discuss possible avenues towards obtaining it, and state intermediate milestones that we believe are of independent interest.
Didactic game as a means of developing the professionalism of the teacher

The research raises and reveals the problem of the development of the teachers professionalism. The purpose of the paper is to describe the use, development of didactic games by teachers for students, focused on the development of their individuality, determining the growth of the teachers professionalism, expressed in the enhancement of competencies associated with the transfer of external motivation of activity into internal, creative approach of teachers to solving problems. The methodological substantiation of the didactic game is the theory of activity, the coaching approach. The results of the study were the design and testing of didactic games focused on the development of the individuality of students, determining the growth of the teachers professionalism. The authors position on the essence of the proposed didactic game, its structure, the mechanism of transferring external motivation of activity into internal one is marked. The scientific novelty of the research includes the developed didactic game, designed on the basis of the psychological and pedagogical mechanism of transferring the external motivation of activity into the internal one. The theoretical significance of the research lies in the development of the structure of a didactic game (as a system), including interrelated components: a game exercise in a lesson, a business game in a classroom hour, a reflexion of a conscious, free choice/non-choice of activity to solve a problem in society, productive activity in society, reflection on the activities carried out. The practical significance of the research includes the specific didactic games developed by teachers, including the didactic game On the Approaches to the Throne of Zeus, proposed in the article. The analysis of the results of experimental work on the accompaniment of a teacher in his professional development showed a positive dynamics of the levels of professionalism of the teacher. This allowed the authors of the article to consider the developed means of developing the teachers professionalism effective.
Kinerja Microserver untuk Menangani Lalu Lintas Berat di Host Server Khusus untuk Jaringan Area Lokal

Microserver is a technology that is currently being developed, this cannot be separated from the development of computer technology that has little power. This is certainly a challenge to be able to develop this microserver to be more sophisticated. Dedicated Server Host is a technology that is widely used today due to developments in website and application technology. On this research we want to test microserver if microserver used as local web server and accessed by number of users.&#x0D; Based on this research, it can be concluded that the use of a microserver as a dedicated server host can be used as a CMS (Content Management System) server and also web monitoring, this is shown in the results of the experiment which shows the processor usage when used as cms and web monitoring is below 50% simultaneously with That's a packet error that appears, but a little packet error appears. Different results are shown when users access web streaming and file sharing on the microserver when there are 10 users, the CPU usage is above 50% but the packet error that appears is still below 10%, but when the number of users is more than 20 there is a surge in processor usage and also packet error is indicated by processor usage of more than 50% and packet error of more than 40%. This occurs because the need to run the streaming function and file sharing is heavier.
Cross-Silo Heterogeneous Model Federated Multitask Learning

Federated learning (FL) is a machine learning technique that enables participants to collaboratively train high-quality models without exchanging their private data. Participants utilizing cross-silo federated learning (CS-FL) settings are independent organizations with different task needs, and they are concerned not only with data privacy but also with independently training their unique models due to intellectual property considerations. Most existing FL methods are incapable of satisfying the above scenarios. In this study, we present a novel federated learning method CoFED based on unlabeled data pseudolabeling via a process known as cotraining. CoFED is a federated learning method that is compatible with heterogeneous models, tasks, and training processes. The experimental results suggest that the proposed method outperforms competing ones. This is especially true for non-independent and identically distributed settings and heterogeneous models, where the proposed method achieves a 35% performance improvement.
THE PERCEPTIONS OF ENGLISH TEACHER AND PARENTS ON THE REMOVAL OF ENGLISH SUBJECT IN ELEMENTARY SCHOOL

This research was conducted from 25 September – 18 October 2021 which aimed to investigate the English teacher and Parents in Education case that is the removal English in elementary school as a subject. Semi-structured interviewed was used to collect the data then it was analyzed with semi structured interview. The researcher was found that both parties were disagree and disappoint with this regulation, because they concern about the children’s education further, such as the inability of students to achieve any English lesson in junior high school because they have lack in vocabulary whereas they are categorized as young learner that have good quality to remember vocabularies and they are lived in a tourism place. The limitation of economic and knowledge of parents become a barrier in this case make the school as the only one hope to learn English. Moreover the school party just delivered this regulation to the students in the classroom. It make all parents did not know about this regulation, an appropriate delivery of information is required in this case because they have the right and obligation in education based on law no 47 article 13.
Application of Synchronized Backscatter Sensors to Sign Language Motion Classification

In the classification of sign language motion, it is vital to measure the movements of many points on human body. While the method of calculating the nodal coordinates of human body from camera image is limited to the detection of two dimensions, acceleration sensor can detect three-dimensional movements. In this investigation, on the measurement of sign language motion, we used a backscatter communication system, which enables synchronized multi-channel reception of sensor signals from battery-free sensors. Acceleration sensors were attached to four locations on both wrists and elbows, and data were acquired from four signers. SVM was used as the classifier, and the classification accuracy was evaluated for 20 sign language words by cross-validation. The experiment demonstrated that classification accuracy of 86.0% to 91.0% could be obtained using this setup.