Reviewerly/exHarmony huggingface dataset:
Efektivitas WhatsApp Group dalam Meningkatkan Minat Belajar Siswa pada Pembelajaran PAI di SMKN 2 Kota Cirebon

The use of learning media must continue as a consequence of the distance between educators and students. This is done to establish a distance learning network in future pandemic Covid-19. This study aims to determine how the use of WhatsApp Group, student learning interest using WhatsApp Group, and supporting and inhibiting factors in increasing student learning interest using WhatsApp Group, especially in PAI subjects at SMKN 2 Cirebon City. To get the data, researchers used qualitative research methods. The informant is obtained from subjects who are determined using purposive and snowballing. The technique of collecting data through observation, interviews, and documentation. The process of data analysis including data collection, data reduction, data presentation, and verification or conclusion. The results show that WhatsApp Group media can assist educators in carrying out their duties, help overcome students' passive attitudes, and help present information and instructions. Students interested in learning can be seen from the interest, involvement, sense of excitement, and attention during the lesson. Supporting factors include the enthusiasm and consistency of educators, facilities, and encouragement for interaction, the ability to use media, and communication problems that can be resolved on the spot. The obstacles include inadequate infrastructure, requiring students to study independently, no face-to-face activities, and difficulties in evaluation.
Graph construction with condition-based weights for spectral clustering of hierarchical datasets

Most of the unsupervised machine learning algorithms focus on clustering the data based on similarity metrics, while ignoring other attributes, or perhaps other type of connections between the data points.In case of hierarchical datasets, groups of points (point-sets) can be defined according to the hierarchy system.Our goal was to develop such spectral clustering approach that preserves the structure of the dataset throughout the clustering procedure.The main contribution of this paper is a set of conditions for weighted graph construction used in spectral clustering.Following the requirementsgiven by the set of conditionsensures that the hierarchical formation of the dataset remains unchanged, and therefore the clustering of data points imply the clustering of point-sets as well.The proposed spectral clustering algorithm was tested on three datasets, the results were compared to baseline methods and it can be concluded the algorithm with the proposed conditions always preserves the hierarchy structure.
VR Technology and International Business Negotiation Teaching

With the continuous advancement of science and technology, technological products not only bring convenience to people’s lives, but also bring great benefits to education. The emergence of VR technology is a major milestone in the history of human development. This article starts with the theoretical basis of Virtual Reality technology in teaching application, analyzes the characteristics of VR technology, summarizes the problems existing in negotiation teaching, and finally discusses the advantages of VR technology to the teaching of International Business Negotiation courses.
MOTIVES FOR CHOOSING A CAREER OF TEACHING ENGLISH

Professional qualification, subject matter knowledge, methodological teaching skills, dedication to teaching, enthusiasm and commitment in teaching are essential keys in determining teachers’ competency and teaching efficacy. The purpose of the article is to explore motives for choosing a career of teaching English. Research methods used: theoretical analysis and systematization of pedagogical works, which made it possible to identify conceptual considerations on main motives for choosing a career of teaching English; observations and practices of author’s teaching experience are also used and included to reveal the main aspects of the issue under analysis. The study findings suggest that for many teachers, the career of teaching is more than just a job. The «performance gap» that these teachers experience between their ideals and the reality of the classroom, suggests that teaching is a calling. Research indicates that one strong motivation for choosing teaching career is that women are influenced by their parents slightly more than by their teachers in their decisions to become teachers. The data suggest that parents encourage their daughters more to choose teaching as a perspective career than their sons. In fact, career choice usually involves a difference in motives. On the one hand, there are a lot of teachers without an initial vocation who find themselves enjoying the work and becoming very committed. On the other hand, there were teachers who had an initial vocation who found their enthusiasm and motivation waning over the years. So it was revealed that teachers in both these categories may in time have to deal with de-motivation.
Width-Based Backward Search

It has been shown recently that duality mapping is a viable strategy to turn progression (forward search) into regression (backward search), but the experimental results suggest that the dual versions of standard IPC benchmarks are quite difficult to solve for heuristic search planners. We aim to study the performance of width-based planners over regression. Our experiments show that width-based search can solve dual problems efficiently when the goal state is restricted to single fluent, but it becomes challenging when the goal state contains conjunctive fluents. We then show that the backward version of best-first width-search (BFWS) with the evaluation function f5, BFWS(f5), and its polynomial variant, k-BFWS(f5), are not competitive with their forward versions, but can be orthogonal over the IPC benchmarks. Hence, we propose a front-to-end bidirectional search k-BDWS-e and its front-to-front variant by integrating forward and backward k-BFWS(f5) with the additional intersection check between expanded states whose novelty is 1 in the opposite Close list. Practical findings on the challenges of regression in classical planning are briefly discussed.
FEATURES OF FACIAL RECOGNITION

The facial recognition system is used to provide identification and authentication during functional testing. It can also be used to identify people in different situations. This article presents a comparative study of the algorithms used for facial isolation and recognition. Algorithms are general algorithms that match a recognizable face. The concept of each algorithm is explained and a corresponding description is given. In addition, the results of the algorithms are evaluated in a data set and are displayed as graphs for evaluating the effectiveness of each algorithm. Algorithms work with a common data set and display the percentage of functions obtained.
Enhancing the Value of Patents as Corporate Assets in South Africa: How can Artificial Intelligence (AI) Assist?

Although the accounting definition of assets contemplates intangible, abstract assets such as those embodied in intellectual property (IP), South African company law largely views IP as a legal and not a business asset. This paper tentatively suggests an approach that uses artificial intelligence (AI) to mitigate weaknesses in the South African patent law relating to the absence of patent searches and examinations. It is hoped that using AI will enable the filing of quality patents that satisfy the prescribed patentability criteria. High-quality patents will allow companies to accumulate patents as corporate assets. The approach is based on the algorithmic use of AI technologies such as machine learning, natural language processing, deep learning alongside the Internet of Things, and IP analytics to strengthen South Africa’s IP system and create asset value for corporations. The paper recommends using the proposed AI technologies by companies and the Patents Office to enable the filing of high-quality patents, which will lead to the accumulation of corporate assets in the form of patents. The methodology is doctrinal, and the paper relies on recent literature on IP and AI, South African law, case law and examples drawn from studies conducted in other countries.
THE IMPLICATION OF READING TECHNIQUE USE AND SELF-BELIEF TO READING COMPREHENSION IN UNIVERSITY

Abstract: The research’s purpose is to perceive the implication of reading technique use and self-belief to reading comprehension. This research is conducted to answer the problem do reading technique and self-belief fundamentally implication to college students’ reading comprehension. The problem was answered using alternative hypothesis stating reading technique and self-belief significantly implicate to college students’ reading comprehension. The reasearch used quantitative and research design is correlation. The subject of the reserach was 240 population students of English Education Department of Universitas Islam Madura Pamekasan. The sample was 150 students after being counted by Sloven theory. The sample was taken using simple random sampling with lottery media. The data was taken using questionnaire for reading technique which consisted of 30 points questions to know the frequency of reading technique use, questiannaire for self-belief which consisted of 9 questions for regulated learning and the answers scored using Likert Scale, the reading comprehension test consisted 40 questions were picked up from Longman Pre TOEFL reading test. The data were analyzed using regression formula to answer the reserach problem. Data analysis was counted using SPSS version 11.0. The result showed that reading technique and self-belief fundamentally implicate to the college students’ reading comprehension. It was authenticated by table of regression showing that the value of F is 14.339 (p&lt;0.01). It meant that the data reject nul hypothesis and receive alternative hypothesis. It is substantiated reading technique and self-belief fundamentally to reading comprehension of students university.
A Rekeying Scheme for Encrypted Deduplication Storage based on NTRU

The European Union Digital Library (EUDL) is the central repository for all content published by the different branches of the European Alliance for Innovation (EAI). EUDL also hosts or indexes content from selected partner or member organizations and affiliates.
PENERAPAN GRAPH DATABASE UNTUK SISTEM REKOMENDASI KOLEKSI PERPUSTAKAAN DI ERA BIG DATA

The library in its development utilizes information systems to provide easy access to collections by providing digital libraries. Digital libraries really need database support that is suitable to handle the needs of fast and accurate data access in digital storage space. Currently in the application of digital libraries in Higher Education still using traditional databases namely relational databases. The disadvantages of this database system are that the data is stored in a structured manner so that the difficulty when dealing with changes in data structure is due to the development of volume and data variations. Another disadvantage is that it is difficult to handle varied data relationships that arise between collections and users so that requiring complicated join operations results in slow database operations. In this paper, we will explain the application of graph database as a solution offered for problems that occur in digital libraries. In this study interviews and observations were used to collect data and determine input, process and output needs. Implementation is done by designing a database graph that fits the needs of the library, then executes the query in accordance with the design. In library information systems, the relationship that exists between collection data and user data is very necessary. Graph data base is the right alternative to describe relationships (networks) that occur between collections and users. By utilizing the relationships that are intertwined between the data, the library collection recommendation system can be explained based on these relationships.
Efficient Proxy Re-encryption for Internet of Things based on Seminear-ring

The assembly of distributed computing and Internet of Things (IoT) is halfway because of the logical requirement for conveying stretched out administrations to a more extensive client base in various circumstances. Be that as it may, distributed computing has its impediment for applications requiring low-idleness and high portability, especially in antagonistic settings. Somewhat, such constraints can be moderated in a mist registering worldview since the last overcomes any barrier between far off cloud server farm and the end gadgets. This work we suggested established key arrangement agreement reliant on seminear-ring .The confidence of our agreement reliant on Double Decomposition Problem in non-commutative seminear-ring.
Aplikasi Pemantauan Media Sosial untuk Analisa Merek

Abstract— In recent years, micro-blogs on the Internet have become a popular way of expressing feelings, thoughts, and even communicating opinions about products and services that are common among its users. Collecting user opinions can be an expensive and time-consuming task using conventional methods such as surveys. The sentiment analysis of the customer opinions makes it easier for businesses to understand their competitive value in a changing market and to understand their customer views about their products and services. In this research, Lexicon-Based approach especially AFINN lexicon is implemented to classify user twitter sentiment, throughout which, twitter Micro-blogs data has been collected, pre-processed analyzed, and classified. The results of this research is an android application that could classify users' perspective via tweets into positive and negative, which is represented in a pie chart for Monthly report.&#x0D; Index Terms— Sentiment Analysis, Brand Analysis, Twitter, Android Application
ORGANIZATION OF THE EDUCATIONAL PROCESS IN GENERAL SECONDARY EDUCATION INSTITUTIONS WITH THE USE OF M-LEARNING TECHNOLOGY

In the article on the basis of the analysis of scientific and methodological literature and network sources the content of the concepts of "mobile learning", "mobile technologies", "mobile learning technologies" is investigated. So by the concept of mobile learning (m-learning) in the WFD we mean a form of e-learning using the personal mobile devices of students, learning in different contexts - through social and meaningful interaction, using the learning technologies of mobile devices at a convenient time for students. The experience of introducing mobile technologies (m-learning) into the school's educational process is generalized. The article highlights the pedagogical conditions, didactic functions and principles of mobile learning in the HLS. The main aspects of the introduction of mobile learning in the HLS are the use of mobile technology, that is, when a technology tool mediates schoolchildren and knowledge as an extension of e-learning and is one of the possible areas of blended learning, this is learner-centered learning. The peculiarities of the introduction of mobile education in general secondary education institutions are identified, the advantages of the use of mobile learning in the educational space of the WSS are outlined. With the introduction of mobile learning, the educational process adapts to the environment, becoming compact, focused and interactive. In mobile learning, it is important that the information is delivered in small portions, as clearly as possible to the situation and, at the same time, that the process of interaction with the product is satisfying. Accordingly, users' habits are changing: students increasingly want the learning process to be simple, effective and fun. They use mobile devices to communicate with participants in the educational process, providing a new level of communication and learning management. For teachers, the advantage of using mobile learning is the ability to ask students in response to the task, and parents to monitor the progress of children through obtaining relevant information from school.Keywords: mobile learning, e-learning, learning principles, information and communication technologies.
Possibilities of digital platforms in solving various educational problems in the digital space

This article examines the current problems of digitalization of education. The author analyzes the essence of digitalization and the emergence of new digital technologies that represent great pedagogical potential. The possibility of using digital technologies in the process of passing compulsory practice by students is also considered. This article describes the digital education environment. The conceptual framework has been clarified: “digital literacy”, “digital educational environment”. The digital education strategy provides for promising innovative technologies. The author comes to the conclusion that the digitization of education has changed the content of the courses given by teachers, as well as the presentation of information – this is not only a presentation or a video, it is already directly connected databases and forums to the Information Network. The concepts of digital platforms are systematized, the methods and basic principles of using the functions of digital platforms are grounded, variants for the effective implementation of new educational technologies for online education are proposed.
STF: Through the prism of time together with KhNUCEA

In this article the historical stages, development and reorganization of the Sanitary Technical Faculty, as the main structural unit at the Kharkiv National University of Civil Engineering and Architecture, are shown. Attention is paid to modern scientists and those who created our faculty. The article considers issues related to international cooperation in the educational sector. Today, for competitiveness in the market of educational services, international cooperation needs to be strengthened as an important factor in the integration of the education system into the European and global educational space. It describes how the education of teenagers is carried out, and also reflects some methods of conducting educational work at the faculty. The strategic goal of educational and upbringing activity is determined as the formation of a highly qualified specialist on the principles of the best achievements of domestic and world science. Also, the article concisely presents the forms and methods of work with student self-government, the features of its organization at the Sanitary Technical Faculty and its role in the university management.
Pengaruh Video Pembelajaran melalui Zenius.Net terhadap Hasil Belajar Kognitif Biologi Siswa Madrasah Aliyah Kelas X dan XI

The use of media in the learning process can generate motivation and stimulus in learning activities, and even bring psychological effects on students. The purpose of this study was to determine the effect of learning videos through Zenius.Net on cognitive biology learning outcomes for students of Madrasah Aliyah class X and XI. The type of research used is descriptive quantitative, which was carried out with a pre-experimental research method using a one group pretest posttest research design. The research sample was students of MAS Al-Anshor Beber, Pengenjek Village, Jonggat District, Central Lombok Regency as many as 17 students. The sampling technique used is a non-probability sampling technique. Data were analyzed by normalized N-gain method and paired samples t-test. Based on the results of data analysis, the pretest value was 34.4, while the posttest value was 78.6. This shows an increase in student cognitive learning outcomes (gain) by 44.2. The n-gain value is 0.7 which indicates the medium category. These results indicate that the use of video media in Biology science learning has an influence on the ability of students' cognitive learning outcomes. Furthermore, the hypothesis test is obtained tcount = 24.61 &gt; tcritical = 2.12, then Ha is accepted, namely learning videos through Zenius.Net can improve students' cognitive learning outcomes.
Kautilya's Views on Secret Activities of Intelligence in Arthasastra and Its Current Relevance

&lt;em&gt;&lt;span&gt;Kautilya's Arthashastra is considered the best political and war discourse was ever written in prose. Dating from the 4th century, which contains views on elements of war tactics and covert activities. Political science contains law, combat techniques, attack strategy, defense strategy, including intelligence. Kautilya has outlined the principles of intelligence by emphasizing the importance of spies in securing and defending a country. This paper tries to study the intelligence aspects established by Kautilya and tries to solve modern age problems such as terrorism, internal conflict, armed insurrection, and ultimately guarantee one's safety. Intelligence activity was directly under the authority of the ruler with the formation of secret service organizations, through the recruitment of secret agents from all groups and the deployment of secret agents in two basic groups (samstha and samchār). The method of spreading secret agents in Arthasastra aims for early detection in one's own country, an enemy country, a friendly country, and a neutral country to find out the strengths and weaknesses of each element of the country.&lt;/span&gt;&lt;/em&gt;
AN ANALYSIS OF READABILITY LEVEL OF READING MATERIAL IN ENGLISH TEXTBOOK FOR FIRST GRADE OF SENIOR HIGH SCHOOL

Predicting readability level of reading texts can help the teachers to match the texts with student’s grade. The appropriate reading text is expected to ease the students in comprehending the material. This research focused on the readability level of English reading material found in English textbook entitled Bahasa Inggris for first grade of Senior High School Published by Curriculum and Books Center, Research and Development Agency, Ministry of Education and Culture. This study attempts to find out whether the reading materials are appropriate or not in terms of readability level for the target students. This research used descriptive quantitative design. The object of the research is English textbook entitled Bahasa Inggris for First Grade of Senior High School published by Curriculum 2013. The textbook consists fifteen chapters which contained kinds of reading materials such as dialogue and reading texts. The researcher only focuses on analyzing the reading materials. There are three kinds of genre found in this book, they are descriptive, recount and narrative. The data were collected by using document analysis. In calculating readability level, the researcher employed the Flesch Reading Ease (FRE) formula. The results of the study showed that there were 9 reading texts in the Bahasa Inggris textbook. From those 9 texts found that there were 3 descriptive texts, 4 recount texts, and 2 narrative texts. According to the analysis using Flesch Reading Ease (FRE) formula, the researcher found that there were 3 texts in Fairly Easy level, 3 texts in Fairly Difficult level, and 3 texts in Difficult level. In average, the texts are in Fairly Difficult level (57,3). Based on the theory of Flesch Reading Ease (FRE) formula, it is found that the texts are in the appropriate level for tenth grade students.Keyword: Readability level, Reading Material, Textbook.