Reviewerly/exHarmony huggingface dataset:
RANCANG BANGUN APLIKASI PEMINJAMAN DAN PENGEMBALIAN PERANGKAT TEKNOLOGI INFORMASI

PT. Dayalima Abisatya, which is engaged in HR Consulting, still does not have a capable system to support business needs, one of which is in terms of lending information technology equipment for its business.Problems faced by lending are still carried out in various ways, such as by telephone, email, and even private messages to managers of information technology devices. Loan data storage is still in Microsoft Excel. There is a double record of borrowing due to data that is not real time. Loan reports in excel files often do not match. The purpose of this research is to design a system of borrowing and returning a web-based technology device. The results achieved are quite satisfactory and can run well according to the design
Computer vision recognition and tracking algorithm based on convolutional neural network

Abstract In the past few decades, target tracking algorithm has been paid great attention by peers at home and abroad in the field of computer vision because of its potential for in-depth research and practical value. Typical applications of target tracking algorithms include intelligent video surveillance, autonomous vehicles, human-computer interaction and so on. Given the initial state of a target object, the task of the target tracking algorithm is to estimate the state of the target in the subsequent video. Despite years of efforts, designing a target tracking algorithm is still a very challenging problem, because it poses changes, particularly illumination changes, and in addition, occlusion, complex environments, and the moving background will also cause changes in the appearance of the target. The traditional target tracking algorithm based on manually designed features or shallow classifiers uses manually designed low-level visual features or shallow classifiers to build the target apparent model, so the semantic information prediction ability of the target apparent model is limited. Given the defect that the above traditional target tracking algorithm is difficult to capture the semantic information of visual data in the target apparent model, inspired by the great success of deep convolution networks in image classification and speech recognition, a target tracking algorithm based on convolution neural network is proposed in this paper.
THE EFFECT OF USING ENGLISH AUTHENTIC READING MATERIALSON THE EIGHTH GRADE STUDENTS’ READING COMPREHENSION ACHIEVEMENT AT SMP SWASTA MMA UISU MEDAN

Reading is one of many ways to get information, where people can find it from television and internet. As reading dominates all activities in the English subject, the language components,namely pronunciation, grammar and vocabulary should also be learnt to support the language skills. Based on the English teacher interview result that authentic reading materials have never been used by the teachers, reading comprehension on the eighth grade students of junior high school of SMP Swasta Mma Uisu Medan so it was necessary to conduct a research in this school. The research design was quasi experimental. It began from conducting homogeneity test, deciding the experimental class and the control class, giving activities to the control class using the common technique and material usually applied by the English teacher and treatments to the experimental class that was using authentic materials in teaching reading, then giving the same post-test to both classes, and the last analyzing the results of the post test by using t-test. The result of this research The analysis of the post test results showed that there was a significant effect of using English authentic that of reading materials the experimental class got higher mean score than the control class (65, 1&gt;57, 5) of the students’ reading achievement. Then, the result of data analysis using SPSS showed that the t-test value (2-tailed) 0.000, was less than 0.05.is expected to provide useful information for the English teacher to use interesting materials, that is, authentic materials in the English teaching learning process, especially in teaching reading comprehension, since the authentic materials have never been used at SMP Swasta Mma Uisu Medan. Key Words : Authentic Materials, reading, comprehension.
IMPLEMENTASI LITERASI DIGITAL DI KALANGAN MAHASISWA

The rapid development of technology has made social media a place to share many things and information, of course not only positive things but also negative things so that all users need to be wise in using them. As it is well known that students often have the task of writing articles that require relevant reference sources, there are not a few students who copy and paste their assignments. This is one of the impacts of not applying digital literacy. This research article uses the literature study method in which data collection is done by reading, taking notes and analyzing. All social media users, including users who dominate social media, namely the younger generation or students have an important role in implementing digital literacy in everyday life. This article discusses how to implement digital literacy for students starting from the constraints of student digital literacy in Indonesia, the reality of digital literacy among students in Indonesia and things that need to be developed to improve digital literacy among students with the aim that students better understand the need to be smart in use social media.Keywords: Student digital literacy; digital literacy for student; digital literacy skills for student
Revisiting Consistency for Semi-Supervised Semantic Segmentation

Semi-supervised learning is an attractive technique in practical deployments of deep models since it relaxes the dependence on labeled data. It is especially important in the scope of dense prediction because pixel-level annotation requires substantial effort. This paper considers semi-supervised algorithms that enforce consistent predictions over perturbed unlabeled inputs. We study the advantages of perturbing only one of the two model instances and preventing the backward pass through the unperturbed instance. We also propose a competitive perturbation model as a composition of geometric warp and photometric jittering. We experiment with efficient models due to their importance for real-time and low-power applications. Our experiments show clear advantages of (1) one-way consistency, (2) perturbing only the student branch, and (3) strong photometric and geometric perturbations. Our perturbation model outperforms recent work and most of the contribution comes from the photometric component. Experiments with additional data from the large coarsely annotated subset of Cityscapes suggest that semi-supervised training can outperform supervised training with coarse labels. Our source code is available at https://github.com/Ivan1248/semisup-seg-efficient.
Application of Data Mining to Predict Student Satisfaction in Academic and Non-Academic Services at the Universitas Terbuka through Social Media-YouTube

Universitas Terbuka (UT) is a university with social media platforms such as Facebook, Twitter, Instagram, Google Plus, and LinkedIn to introduce and disseminate information about UT.This platform is also used as an education for students and the public.Posts on social media are fascinating to observe.The post contains various comments.The data are grouped to obtain specific patterns.It analyzes posts on social media, especially YouTube, related to student satisfaction with academic and nonacademic services at Universitas Terbuka.The analysis was carried out using Text mining with the Cross Industry Standard Process for Data Mining (CRISP-DM) method.The results of the study show that of the 7,705 posts on YouTube, the most common problems raised are related to tutorials (13.49%), exams (3.38%), teachers (5.25%), modules (3.71%), applications (3.41%); non-academic (2.87%); and scholarships (0.88%).Meanwhile, in each category, student posts were found to be related to (a) satisfaction and dissatisfaction with academic and non-academic services provided by UT, (b) explaining the procedure for studying at UT, (c) announcements about the UT program, and (d) greetings to other students.
¿Qué sabemos sobre el manejo y tratamiento del Síndrome Visual Informático?

Este trabajo es un comentario del artículo: Singh S, McGuinness MB, Anderson AJ, Downie LE. Interventions for the Management of Computer Vision Syndrome: A Systematic Review and Meta-analysis. Ophthalmology. 2022 Oct;129(10):1192-1215. doi: 10.1016/j. ophtha. 2022.05.009
Does consciousness cognize itself in cognitive sciences?

The paper critically examines some theses from A.V. Smirnov’s monograph ‘The Logic of Meaning as a Philosophy of Consciousness: An Invitation to Reflection’. In particular, the statement about the inability of cognitive sciences to exhaustively explain conscious­ness because of its de-subjectivation within their framework. It is shown that cognitive sciences are generally able to cope with the intellectual and controlling aspects of con­sciousness. Only its phenomenal aspect remains in question, but this is clearly not what the author of the monograph means. Further, he argues that understanding the workings of consciousness underlies the philosophical foundations of any subject. The analysis shows that if we exclude consciousness as control and the phenomenal consciousness, which are obviously irrelevant here, then the philosophical foundations of anything within this understanding are reduced either to normative requirements in the form of the logical foundations of theories, or to empirical data in the form of cognitive limita­tions of real subjects. Attributing rationalism and universalism to the Western philosophy as its essential properties, the author of the monograph does not take into account that ra­tionalism as anti-empiricism has long been a kind of abandoned trend, and rationalism as a commitment to inferential procedures has also been recently challenged by some strong alternatives. Similarly, the author’s opinion of the Western philosophy of mind as the exe­cution of the Cartesian program, which he reduces to cogito ergo sum, is disputed. This methodological tool – and the metaphysical principle as well – of Descartes is subjected to incessant attacks from representatives of various schools of Western philosophy. More­over, it underlies not the philosophy of mind, but the epistemology of the great philoso­pher. Finally, the author’s concept of ‘unfolding the folded’ comes down to a kind of di­alectical deduction of the empirical features of various cultures from a priori predeter­mined ‘subject-predicate gluings’ and ‘intuitions of integrity’, which paradoxically brings us back to Hegelian-type rationalism.
USING MIND MAPPING METHOD TO IMPROVE STUDENTS' WRITING SKILLS OF DESCRIPTIVE TEXT IN CLASS VIII

This research is focused on improving students' ability in writing descriptive text with the mind mapping method. Mind mapping is one of the methods of learning that focuses on taking notes that help us remember the material and can improve understanding of the material, help organize material and provide new insights. With this method, students become more active, creativity, and can receive lessons easily. Although the descriptive text is not too difficult, there are still many students who find it difficult. The purpose of this study was to determine the students' ability in writing descriptive texts with the mind mapping method and to find out how teachers teach descriptive texts. This is qualitative research. In collecting data, the researcher used text analysis and observation. The writing components analyzed were idea development, idea organization, grammar, vocabulary, and punctuation. The results of this study illustrate that the mind mapping method helps improve students' ability in writing descriptive texts, as can be seen from the way students develop ideas and organize ideas into a paragraph. Behind all that, the researcher also found the students' biggest difficulties in writing descriptive texts. Difficulties in grammar, vocabulary, and mechanics also have errors, but the errors are not significant.
Smartphones Just Get Smarter

With the roll-out of artificial intelligence accelerating and leading to the creation of new applications, so the market for smartphones continues to thrive.
PSYCHOLOGICAL FEATURES OF INNOVATIVE MANAGEMENT STYLES OF MANAGERS OF EDUCATIONAL ORGANIZATIONS, SELECTED BY THE CRITERION “TEAMWORK IN THE ORGANIZATION”

The analysis of scientific approaches to understanding the psychological characteris-tics of the role of the management team is important in the context of ensuring the organizational development of educational institutions. The transformational changes taking place in education today require the introduction of new approaches to the process of managing educational organizations. The practical solution to the problem of forming management teams in educational organizations involves determining and understanding the importance of systematic psychological training of education managers to form professional management teams. The article reveals the psychological features of innovative management styles in managers of educational organizations, selected by the criterion of «Teamwork in the organization». Іt is especially important in educational organizations to form not only a teaching staff, but a team where teachers set an example not by words but by their own actions: teach them to be leaders, develop their various social competencies, and most importantly – teach by personal example. Аllowed us to identify innovative management styles in managers of educational organizations, which are selected by the criteria of «Teamwork in the organization» and provide the following skills: orientation of managers of educational organizations on teamwork based on clearly defined roles, willingness to internally accept organizational goals and objectives; to organize joint activities to address management issues, willingness and skills of constructive communication, dialogue and interaction with different categories of people. Іdentified traditional («fear of poverty», «authority – conquest», «rest home») and innovative («organization», «team») management styles in managers of educational organizations on the indicator «of orientation of managers to teamwork». Highlights the main reasons for managers to avoid team building. Increasing the attention of psychologists to the problem of psychological preparation of managers of educational organizations.
Features of implementing regional components into the content of education in the biology teachers training in HEIs

The professional standard of the teacher guides the modern teacher to organize the teaching process in the subject under the state educational standards of the Republic of Kazakhstan and the main general educational program, and most importantly, considering the place of the studied science in the world culture and the organization of the process of studying the subject. Domestic pedagogy in the humanistic teaching of biology teachers is based on modern requirements. Recently, the importance of regional information in the training of qualified specialists has been considered from different angles. The relevance of improving the methodological training of biology teachers is inextricably linked to the importance of biology in the modern world. General biology is a science that plays an important role in the formation of new normative principles in modern culture. Biological science occupies an intermediate place between the natural and social sciences, initiating the orientation of other natural sciences towards humanism, combining them with the natural sciences and pedagogical disciplines. Timely improvement of the methodological training of future biology teachers is associated not only with the need for practice but also with scientific achievements in solving the problem of teacher training in natural education. The structural and meaningful model of using regional components in the training of future teachers in teaching biological disciplines includes skills based on personality-activity methods and their content, practical-activity components, levels of their formation and criteria for their formation. The article deals with the peculiarities of studying the regional component in higher education institutions.
Tipologi Abreviasi dan Akronim: Titik Pijak Awal Pemanfaatan Semantik dalam Penyusunan Kamus Bahasa Indonesia

Indonesian has many vocabularies which have developed more or less according to the user community and their needs. With the existence of an Indonesian dictionary that contains vocabulary and meanings that serve as guidelines, standardization of vocabulary in the KBBI and requires scientific negotiation. Through semantic science which is the basis for its compilation and standardization, with the present dictionary presentation, vocabulary and meaning will be easier to understand. The type of research used in this study is a qualitative research using descriptive analysis. This qualitative method is used by researchers to analyze the data findings. The data’s source in this study is from KBBI V (online). The dictionary will be analyzed for its elements of abbreviations and acronyms. Analysis this study was carried out descriptively which later was expected to be able to find the characteristics, properties, and functions through the selection of the required data. The results of this study found that there are several abbreviations and acronyms found in the KBBI (online). Abbreviations and acronyms found are seen from the process of formation, form, and function. Another existence found by researchers is the use of abbreviations and acronyms as research that can enrich and vocabulary development.
THE EFFECT OF EMOTIONAL INTELLIGENCE, SELF-EFFICIENCY ON LEARNING ACHIEVEMENT WITH LEARNING BEHAVIOR AS MODERATING VARIABLES

This study aim to the effect of emotional intelligence, self efficacy, on economic learning achievement, and learning behavior as moderating variables. This study uses quantitative research with survey method. he population in this study were 151 students using the proportional random sampling method and produced 110 samples. Methods of data collection using the methods of documentation, questionnaire analysis tools used multiple regression analysis, moderated regression analysis. The results of this study are emotional intelligence has a positive effect on economic learning achievement of students in class X IPS MAN 1 Banyumas, self-efficacy has a positive effect on economic learning achievement of students in class X IPS MAN 1 Banyumas, learning behavior does not moderate the influence of emotional intelligence on economic learning achievement of students in class X IPS MAN 1 Banyumas, learning behavior does not moderate the effect of self-efficacy on economic learning achievement of students in class X IPS MAN 1 Banyumas, learning behavior has a positive effect on economic learning achievement of students in class X IPS MAN 1 Banyumas. The implication given is that teachers should optimize emotional intelligence, increase student self-efficacy, and foster good behavior, further researchers can add other variables that have not been studied.
Management and Access Control Framework for Open Banking Eco System by using Block Chain Technology

Open banking is a new data-sharing paradigm that may help new firms get rapid loan approvals and higher investment returns. Most clients are hesitant to embrace open banking because they fear sharing data with third-party suppliers. This research work has presented a blockchain-based self-sovereign identification system architecture for open banking. The proposed architecture offers a secure communication network between users and third-party service providers and let individuals manage their identities and data. Comparing the BBM model to current work shows and analyses its advantages.
Mobile Learning for teaching journalism from a remote television set during COVID-19

This research describes the implementation of a system that allows a television studio to operate through cell phones and mobile applications, this innovation was developed in a university in Peru for television journalism courses.This is an applied research with a qualitative approach, which describes the development of this innovation from the experience of its creator and details how different technologies were made to converge so that students could broadcast news programs from their homes by operating the equipment located on the television set of tv.The results allow us to conclude that the pandemic has led to the invention of educational solutions that hybridize television technologies, cell phones, mobile applications and the Internet, from this convergence it was possible for students to develop journalistic educational skills remotely.
Strategy for the detection of types of facial gestures using SOM neural network

This research aims to cover a need to be able to classify gestures, specifically the gestures of people's faces, which reflects the emotions of each person such as anger, fear, happiness and sadness. To be able to identify these gestures, it is necessary to apply a strategy, which is to prepare the digital image matrices in a sequence, such as converting to gray tone, finding the orientation, applying the sobel and medfilt2 algorithm, so that this result can enter to a SOM neural network and be able to be classified according to the gestures. Labeling as 0 to anger, 1 to fear, 2 to happiness and 3 to sadness. To corroborate this strategy, a public database of faces has been taken, being 160 images of faces for the training and for the tests 15 images were used that were not part of the training and each image obtained in .jpg format in different dimensions, achieving demonstrate with this strategy an affectivity of 96.0% certainty in the identification of gestures.
RISC-V based HW accelerator

This paper deals with implementation of an example of implementation of an algorithm into an FPGA. While some considerations about various possibilities (ASIC, ASIP, GPP) are made, here is demonstrated the ASIP version with implementation details. An economic version of a Reed-Solomon algorithm is demonstrated and further developments of the method are assessed.
ML-FDA: Meta-Learning via Feature Distribution Alignment for Few-Shot Learning

Computer vision tasks suffer from the high cost of collecting large amounts of labeled data. Few-shot Learning (FSL) is a dominant approach to solve this problem because it provides an insight to learn the knowledge of novel categories with few training samples. In FSL task, Meta-learning and metric learning have achieved impressive results. However, the performance of this task is still limited by large intra-class variance and small inter-class distance caused by limited number of few samples. To solve this problem, In this paper, we propose a new method, which integrates meta-learning and metric learning techniques. Specifically, we first propose a feature representation module (FR) to construct representative support class prototypes and query features. Then, we design bias loss to minimize the bias between support and query samples. Furthermore, we design an intra-class loss to minimize the distance between query class prototype and each query sample. We denote this model as ML-FDA and validate it on standard few-shot classification benchmark datasets (MiniImageNet, CIFAR-FS, FC100). The results show that our method improves the performance over other same paradigm methods and achieves the best performance on most benchmarks. The ablation study and visulization analysis also demonstrate the effectiveness of our method.