Reviewerly/exHarmony huggingface dataset:
Intercultural Tolerance Formation at Higher Education Institutions

The aim of the article is to present the main peculiarities of the process of intercultural tolerance formation at higher education institution and the results of implementation of the pedagogical technology of future masters intercultural tolerance formation developed by the authors. A new approach to solving the scientific problem of increasing the level of intercultural tolerance of future masters is based on organizing the process of intercultural tolerance formation as an integral pedagogical process, based on strengthening interdisciplinary links, introduction of adequate sequential pedagogical technology as well as during extracurricular activities that will contribute to the personal development of future masters. The results of the survey conducted before the implementation of a new pedagogical technology showed that the majority of future masters had mostly low and average level of intercultural tolerance that did not allow them to work efficiently with the representatives of foreign cultures. The pedagogical experiment, the goal of which was to check the efficiency of the implementation of the developed pedagogical technology of the formation of future masters intercultural tolerance, proved the effectiveness of the proposed technology and confirmed the formulated hypothesis of the study. The majority of future masters in the experimental group reached the average and the high levels of intercultural tolerance, while the results of intercultural tolerance formation in the control group, where students were taught in the traditional way, showed a slight dynamics at the average level.
Problematika Desain Komunikasi Visual dan Plagiarisme dalam Dunia Desain Grafis

The development of technology, especially the internet, triggers graphic designers to be more active and creative in their work. Publication of graphic design works through social media and other media, but as a result of that plagiarism is also very rampant because of easy access to see other people's work via the internet. The formulation of the problem to get a solution through research is how to increase the creativity of the creators. Design of visual communication that is useful or beneficial for the general public and how to try to suppress plagiarism in graphic design. Qualitative Research Methods as an approach that focuses on data analysis and data solutions in understanding the social phenomena of graphic design creativity and design plagiarism that occur in society. there is also a way to just use other people's work as a source of inspiration and modify it as creatively as possible.
PEMBERKASAN ARSIP DINAMIS AKTIF DI SUBBAGIAN PERSURATAN DAN ARSIP AKTIF PADA ARSIP NASIONAL REPUBLIK INDONESIA (ANRI)

The development of science and information technology in the current era of globalization has a big influence in all fields, especially information. This becomes very essential for an organization, both governmental and non-governmental institutions because every organization in its activities requires information to support the administrative process and implementation of management functions. Various kinds of documents and media have been created for the convenience of storing, searching, and disseminating information. Archives as an important source of information can support the process of administrative and bureaucratic activities. Filing of active archives within the National Archives of the Republic of Indonesia called ANRI uses a combined principle, namely the principle of centralization used in terms of establishing policies for active archive management systems, organizing, human resources, infrastructure, and facilities, as well as electronic archive management. The principle of decentralization is used in terms of structuring and physical storage of active archives located in the central file administration office of Echelon, Echelon II, and certain echelon III
Distributed Learning of Finite Gaussian Mixtures

Advances in information technology have led to extremely large datasets that are often kept in different storage centers.Existing statistical methods must be adapted to overcome the resulting computational obstacles while retaining statistical validity and efficiency.Split-and-conquer approaches have been applied in many areas, including quantile processes, regression analysis, principal eigenspaces, and exponential families.We study splitand-conquer approaches for the distributed learning of finite Gaussian mixtures.We recommend a reduction strategy and develop an effective MM algorithm.The new estimator is shown to be consistent and retains root-n consistency under some general conditions.Experiments based on simulated and real-world data show that the proposed split-and-conquer approach has comparable statistical performance with the global estimator based on the full dataset, if the latter is feasible.It can even slightly outperform the global estimator if the model assumption does not match the real-world data.It also has better statistical and computational performance than some existing methods.
Regulation of Cryptoassets in Mainland China, Hong Kong, Macau and Taiwan

The regulation of digital financial assets has been a topic of discussion for many countries over the last decade. China is among the world leaders in the digitalization and blockchain technologies. Under the “one country, two systems,” two different approaches to the digital financial assets have been implemented in the PRC. Although the COVID-19 pandemic has stimulated many investors to diversify their investment portfolios to include digital financial assets, the People’s Bank of China has not changed its prohibitive position on tokens and cryptocurrencies and even launched a campaign against miners and crypto exchanges. Macau and Taiwan have also prohibited initial coin offerings and the transfer of cryptocurrencies due to the risks of money laundering connected with the citizens of mainland China. Macau, Taiwan, and the Monetary Authority of Hong Kong have implemented less stringent regulations of digital financial assets. Comparative analysis demonstrates that Hong Kong acts as an intermediary for China to the digital financial assets.
THE EFFECT OF USING INFOGRAPHICS AND STUDENTS’ READING INTEREST ON THEIR READING COMPREHENSION AT SMAN 16 PEKANBARU

This research was done by applying experimental research and the design used was factorial design 2x2. The aims of this research were (1) to find out whether there is any different effect of students’ reading comprehension between an experimental and control class. (2) To find out the different on students’ reading comprehension between students who have high reading interest in an experimental class and a control class. (3) To find out the different on students’ reading comprehension between students who have low reading interest in an experimental class and a control class. (4) To find out whether there is any interaction between teaching strategies and reading interest on students’ reading comprehension. The samples were two classes of eleventh grade students of Social 1 and Social 2 of SMAN 16 Pekanbaru. The writer took the sample as cluster random sampling technique. The total sample was 60 students. The forms of the test were reading comprehension test and questionnaire. Finally, the results of the research show that: first, there was the significant score (sig.) 0.02 &lt; 0.05 in students’ reading comprehension. It means that there is significant difference on students’ reading comprehension between an experimental class and control class. Second, there was no significant difference on students’ reading comprehension between students who have high reading interest in an experimental and control class. The sig value was 0.841 &gt; 0.05. Third, there was significant difference on students’ reading comprehension between students who have low reading interest in an experimental and control class. The sig value was 0.03 &gt; 0.05. Last, the sig value was 0.045 &lt; 0.05. It means that there was an interaction between teaching strategy and reading interest on students’ reading comprehension at SMAN 16 Pekanbaru.Key words: Infographics, Reading Interest, Reading Comprehension
Applied Research and Analysis of Construction of Foreign Language Learning Performance Model

Constructing foreign language learning performance model is conducive to understanding the main factors that affect the performance of foreign language learning.Consequently, foreign language learning can be carried out in an effective way based on the impact indicators.The paper uses AHP to determine the main influencing indicators of foreign language learning performance which includes language knowledge, motivation, language application ability, ability to adapt to the learning environment.In the meantime, the specific impacts of each indicator were analyzed.
PENGENALAN INTERNET SEHAT PADA SMAN I TIGAPANAH, KABUPATEN KARO, SUMATERA UTARA

A healthy Internet is one of the basic needs of the use of digital technology in various fields, especially in the world of education. Since SMAN I is one of the service partners and is also very close to the center of agriculture and tourism, Community is carried out by the Information System Study Program, Universitas Methodist Indonesia as a form of implementing the Tri Dharma of Higher Education. Its purpose and benefits are to share and contribute ideas and transfer knowledge and technology. This service activity was carried out for a day, with the material including explanations about Internet Sehat (Healthy Internet) and Internet Cakap. This topic is very much needed in the education community to be able to use the internet intelligently, creatively, and productively.
Analysis of Integrated Lecturing Event Recording System Based on Radio Frequency Identification (RFID) with Rapid Application Development (RAD) Model

The improvement of the student learning process in higher education is of course determined by technological developments.semiconductor technology that can be integrated with various systems such as electronics and informatics.In the teaching and learning process, the implementation of conventional lecture minutes using paper media in universities has several problems.The possibility of damage, loss, human error and the use of a lot of time to recapitulate lecture minutes.By designing a system for recording lecture minutes with attendance using RFID (Radio Frequency Identification).RFID data is used to be integrated with database systems, data in the form of a unique number from the RFID card is used as a unique code for students so that when the RFID card is attached to the attendance device, the data will automatically be entered into the attendance database.This research develops information technology integrated with RFID, as well as analyzing system design using the Rapid Application Development (RAD) Model.The results of this analysis will be integrated with the Academic Information system, so that it makes it easier to solve the problem of recording lecture minutes at universities.
Intelligence Concept: A Cross-cultural Study of University Students from The Javanese and Madurese in East Java

Intelligence is often used as a benchmark to predict someone's success in the future. Therefore, intelligence is also often used as a reason for someone to label individuals who do not have the abilities that others want. Students of education as prospective educators in the future have a fairly central role in providing understanding about the intelligence that students have to parents, senior teachers, and students themselves. Before becoming an educator, education students are expected to have a good concept of intelligence so that the understanding given can be done precisely. This study aims to reveal the concepts of intelligence subjective to the students of prospective educators from the Javanese and Madurese tribes. The study used a qualitative research approach with a case study model that emphasized the exploration of a system that intertwined with each other. The results showed that education students who originated from Javanese and Madura tribe have a very diverse concept of intelligence. Despite the diverse concept of intelligence, the concept of the student intelligence of both tribes has a relation that complements each other. Students of both tribes also have the view that each individual has different intelligence. Therefore, most of the students from both tribes have been in line with Howard Gardner's multiple intelligences theory. The findings in this study are that interpersonal intelligence is considered to be the most prominent by the Madurese people, because the ability to connect and connect with others is very high.
Natural Language Processing for Teaching Ancient Languages

Konstantin Schulz shows various applications of natural language processing (NLP) to the field of Classics, especially to Latin texts. He addresses different levels of linguistic analysis while also highlighting educational benefits and important theoretical pitfalls, especially in vocabulary learning. NLP can solve some problems reasonably well, like tailoring exercises to the learners' current state of knowledge. However, some tasks still prove to be too difficult for machines at the moment, e.g. reliable and highly accurate parsing of syntax for historical languages.
Ethereum, Dogecoin volatile after Elon Musk’s 'SNL' gig

Ethereum is surging to a new record, Dogecoin is also moving higher after Tesla and SpaceX CEO Elon Musk's SNL appearance roiled cryptocurrencies.
Day of the Week Effect dan Volatilitas Cryptocurrency pada Masa Pandemi Covid-19

The cryptocurrency market is a market that attracts researchers and investors because it is open every day. This can be seen by the anomalies that occur in the cryptocurrency market. This research uses cryptocurrencies with the largest market cap in 2020, namely Bitcoin, Ethereum, Tether, XRP, and Bitcoin cash as research objects. The data in this study uses daily returns for testing the day of the week effect and daily volatility on the cryptocurrencies under study. This study uses GARCH (1,1) to determine the day of the week effect and daily volatility in the cryptocurrency under study. The results of this study indicate that there is a day of the week effect and daily volatility in the cryptocurrency under study, and it does not move freely. This causes the cryptocurrency market to become an inefficient market. The patterns that occur can be exploited by investors as well as other research on the cryptocurrency under study. Investors can avoid days that have high volatility for example in Bitcoin which experiences high volatility on Fridays and Saturdays because it has a high risk as well. Investors are advised to be able to trade on Thursday for high returns and less risk.
Application to support learning android based in SMPN 18 surakarta

Based program android is useful for teachers as any media learning that can be used to given the lectures to students , especially in the hamper now where all students having android phone. This pandemic in the , online learning is the only alternative given the lectures to students and android based program was very helpful in learning .&#x0D; This study attempts to know whether application to support learning android based in SMPN 18 Surakarta .Study was conducted the survey with spread after teachers try to use application android based this.&#x0D; The results of the study said 43 % said application support learning and 57 % is very conducive to learning
Study of Linke's Turbidity Values at Some Iraqi Sites Based on Solar Radiation

Turbidity was calculated by solar irradiance (Linke's Turbidity) for sixteen Iraqi sites. These locations were distributed among middle, north and south. These results have been updated depending on direct solar radiation, diffused solar radiation, total solar radiation, and solar constant as inputs for mathematical models in computer programs. Taking into account the hours of actual and theoretical brightness of the sun, the angle of the sun's rays, and the altitude angle of the sun during the months of the year. The results showed that the turbidity in the Iraqi sites considered in this research depends mainly on the months of the year regardless of the site is located at the north, middle, or south of Iraq. The turbidity has the greatest values during the winter season, specifically in December, where the average turbidity ranged for those sites. In this month (4.85 - 5.73), then January (4.75 - 5.72), it begins to decrease until the value of turbidity in most sites reaches its minimum level in the month of September, where the average turbidity of the studied sites is ranged (except for the site of Najaf) in this month (2.82 - 3.10). While the Najaf site was unique in registering the minimum average value of turbidity in the month of June by (3.25). The results showed that the turbidity in all the sites included in this research ranges between (2.82 - 5.73) during the year.
The Effect of Information Services Toward Confidence Students’ in Expressing Opinions

This research aims to determine the effect of information services on confidence in expressing opinions in student online lectures. The method used in this study is a quantitative method. This type of research is a quasi-experimental with the type of Pre test-post test one group design. The subjects in this study were 30 students in semesters 1 and 3 who had low confidence in expressing their opinions. The instrument used is a self-confidence scale in expressing opinions. Instruments are given before and after the implementation of information services. Data were analyzed using the Wilcoxon test. Pre-test data in the experimental group obtained an average = 73.5 while the post-test data obtained an average = 119.30. This data is in accordance with the Wilcoxon level test obtained Jcount = 132 while Jtable = 105. Based on the critical value table J for the Wilcoxon marked level test for n = 30, = 0.05 the hypothesis is accepted. That is, there is a significant effect of providing information services on confidence in expressing opinions on online student recovery.
PROBLEMA MESIN PENERJEMAH BERBASIS AI DALAM PROSES PENERJEMAHAN BUKU INGGRIS-INDONESIA DAN SOLUSINYA

This research aims to find out the main problems of AI-based translation machine, Google Neural Machine Translation System (GNMT) or Google Translate, during an English-Indonesian book translation process. It also has the objective to find the solutions for the problems. To approach the translation issues, the study uses Christiane Nord’s four translation problems which consists of pragmatic translation problems, convention-related translation problems, linguistic translation problems, and text-specific translation problems. Molina and Albir’s techniques of translation are applied to fix the problems. The study uses qualitative methods to analyze the translation issues. From 5447 translated words, it is found that the main problems of Google Translate during book translation are linguistic translation problems, and there are seven translation techniques involved to deal with the problems.
Cloud Computing: An Exploration on Data Integrity and Its Techniques

In the recent years, the cloud computing moves a step forward by providing more services for the individual users and organizations. Each and every technology and systems can be easily integrated with cloud environment. In future lot of new technology will come to play their role. But to make the new technology fulfill their role they surely need a small part of cloud computing. The cloud plays a vital role in managing the data of different users. Users may be individual or organization and they use any cloud deployment model. Cloud provides low cost unpredictable and untraceable storage space to store user’s data. The main aim is to keep the data reliable, available, secure and sharable for the authorized users. But keeping the data secure is a big issue .In a public cloud any one can access the cloud easily. But the CSP or data owner has to prevent the unauthorized user’s access to the cloud. CSP can easily modify or delete the data which are not used by the user for a long time so as to get the storage space .The data integrity problem can be overcome by some different techniques which are proposed in various models .We can surely say that this cloud computing technology will become popular than any other technology.
Location and Time Aware Real Time Cloud Service Recommendation System Based on Multilayer Perceptron

Cloud computing is the on-demand availability of internet-based computing services, especially software, large amounts of data storage, operating systems, and other computing resources.Service Level Agreement (SLA) violation is the most critical problem in cloud computing.SLA violation creates many problems for cloud service providers and cloud customers.Due to this, cloud customer gets low-quality cloud service.Thus, designing an effective cloud service recommendation algorithm is a critical research problem in cloud computing.The primary objective of this research is to determine the optimal cloud service from functionally equivalent cloud services that better fit the user's requirements (latency, throughput, response time, and cost).The efficiency of cloud services varies according to the time and location of the virtual machine.First, this proposed method determines the correlation between active user requirements and cloud services.Second, strongly correlated services are separated into two clusters based on the virtual machine's location and the cloud service's data transmission rate.For this purpose, two lightweight clustering algorithms have been proposed.A modified multilayer perceptron algorithm has been developed to recommend the optimal cloud service to the active user from the two clusters.The open-source WS-Dream dataset is used to train and validate the proposed MLP.The training efficiency, prediction accuracy, and performance of the proposed MLP-based cloud service recommendation system are experimentally compared to the existing cloud service recommendation systems analysed in the literature study [20,2,22,23].Compared to existing cloud service recommendation approaches, the MAE and RMSE values of the proposed cloud service recommendation system are less than one.In terms of accuracy, the suggested method obtains a precession of 94 %, a recall of 97 %, and an F1-Measure of 96 %, all of these are significantly better than the existing cloud service recommendation methods.Finally, experimental results prove that the overall performance of the proposed method's throughput (increase 10 MBPS), latency (reduce 10 ms), the response time (reduce 17 ms) and service recommendation time (reduce 5ms) is more robust than existing methods.
PENGARUH MODEL PEMBELAJARAN ROLE PLAYING BERBANTUAN MEDIA PEMBELAJARAN KOMIK DIGITAL TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN IPA TERPADU KELAS VIII SMP NEGERI MANDALA RAIMANUK TAHUN AJARAN 2018/2019

The purpose of this study was to determine the effect of role playing learning models assisted by digital comic learning media on student learning outcomes. The method used is quasi experiment. The research design used was posttest only control design. Data collection techniques using the Learning Outcomes Test. Data management and analysis using the polled variance t-test formula with SPSS version 16 statistical test. Based on the results of data analysis, it shows that there is a significant effect with tcount greater than ttable, 6.488&gt; 1.674, it can be concluded that H1 is accepted and H0 is rejected, meaning there is a significant influence in the use of role playing learning models assisted by digital comic learning media towards student learning outcomes.