Reviewerly/exHarmony huggingface dataset:
Classification of Covid-19 vaccine data screening with Naive Bayes algorithm using Knowledge Discovery in database method

Acute Respiratory Syndrome Coronavirus-2 (SARS-Cov-2) known as covid-19 was detected and caused a very large number of deaths due to a mysterious respiratory disease. With the death toll continuing to rise, the government was forced to take swift action to break the chain of spread and reduce the number of deaths by taking vaccinations. An adequate vaccine against Covid-19 is expected to vaccinate at least 70% of the population. Therefore, this study was carried out as a step to help break the chain of the spread of the Covid-19 virus, by classifying the Covid-19 vaccine screening data. The research method applied in this study is the Knowledge Discovery in Database (KDD) method, in which there are several processes, namely selection, pre-processing, transformation, data mining, and evaluation. The application of the Naive Bayes method is expected to be able to classify Covid-19 vaccine screening data with vaccine class values, no, and delay. The results of the research on the classification of the Naive Bayes method show that there are 959 data with Vaccine data 695, No 200, and Delay 64. Processed using the Rapidminer application, the accuracy is 96.56%, Precision is 92.46%, and Recall is 92.13%.
Clickbait Detection of Indonesian News Headlines using Fine-Tune Bidirectional Encoder Representations from Transformers (BERT)

The problem of the existence of news article that does not match with content, called clickbait, has seriously interfered readers from getting the information they expect. The number of clickbait news continues significantly increased in recent years. According to this problem, a clickbait detector is required to automatically identify news article headlines that include clickbait and non-clickbait. Additionally, many currently existing solutions use handcrafted features and traditional machine learning methods, which limit the generalization. Therefore, this study fine-tunes the Bidirectional Encoder Representations from Transformers (BERT) and uses the Indonesian news headlines dataset CLICK-ID to predict clickbait (BERT). In this research, we use IndoBERT as the pre-trained model, a state-of-the-art BERT-based language model for Indonesian. Then, the usefulness of BERT-based classifiers is then assessed by comparing the performance of IndoBERT classifiers with different pre-trained models with that of two word-vectors-based approaches (i.e., bag-of-words and TF-IDF) and five machine learning classifiers (i.e., NB, KNN, SVM, DT, and RF). The evaluation results indicate that all fine-tuned IndoBERT classifiers outperform all word-vectors-based machine learning classifiers in classifying clickbait and non-clickbait Indonesian news headlines. The IndoBERTBASE using the two training phases model gets the highest accuracy of 0.8247, which is 0.064 (6%), outperforming the SVM classifier's accuracy with the bag-of-words model 0.7607.
Communication Framework AND Emojis-Danmaku Applied To Cooperation Workshops

When different fields work together, like the designers and engineers, many problems may arise.The interaction and communication between team members are important factors that affect success.This study proposes a service design: The Emojis-Danmaku framework as a communication medium to assist planners and participants in inter-disciplinary cooperation and optimization of the workshop processes.
PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK MATERI PECAHAN BERBASIS ANDROID

Tujuan penelitian adalah pengembangan lembar kerja peserta didik (LKPD) pada materi pecahan berbantuan powerpoint I-spring berbasis android yang valid dan praktis. Metode yang digunakan untuk mengembangkan bahan ajar tersebut adalah penelitian research and development (R&amp;D) dengan model plomp yang meliputi langkah-langkah yaitu 1) fase investigasi awal ( preliminary research ), 2) fase design /perancangan; 3) fase realisasi/konstruksi; 4) fase tes, evaluasi dan revisi; dan 5) fase implementasi. Penelitian ini tidak sampai pada tahap implementasi karena waktu yang tidak memungkinkan. Instrumen dalam penelitian ini adalah lembar angket validasi, angket respon guru dan angket respon peserta didik. Data penelitian meliputi hasil angket validasi media pembelajaran berbantuan powerpoint I-spring berbasis android oleh para ahli (materi dan media) dan hasil angket praktikalitas oleh peserta didik dan guru kelas. Angket respon guru dan siswa untuk mengukur bagaimana respon guru dan siswa terhadap media yang dikembangkan. Kelayakan media ini dilihat berdasarkan analisis dari lembar validasi dan angket. Hasil penelitian dapat disimpulkan bahwa media ini dinyatakan valid dan sangat praktis dengan perolehan nilai sebesar 96,03%. Artinya LKPD berbantuan powerpoint I-spring berbasis android dapat diimplementasikan pada pengguna sebagai alternatif pembelajaran pada konsep pecahan The research objective is the development of student worksheets (LKPD) on valid and practical I-spring-assisted powerpoint-assisted fractions material on Android. The method used to develop the teaching materials is research and development (R&amp;D) with a plomp model which includes steps, namely 1) preliminary research phase, 2) design phase; 3) realization/construction phase; 4) test, evaluation and revision phases; and 5) implementation phase. This research did not reach the implementation stage due to time constraints. The instruments in this study were a validation questionnaire sheet, a teacher response questionnaire and a student response questionnaire. The research data are the results of a questionnaire validation of learning media assisted by powerpoint I-spring based on Android by experts (materials and media) and the results of practicality questionnaires by students and classroom teachers. Teacher and student response questionnaire to measure how teachers and students respond to the developed media. The feasibility of this media is seen based on the analysis of the validation sheet and questionnaire. The results of the study can be concluded that this media is declared valid and very practical with a score of 96.03%. This means that the LKPD assisted by powerpoint I-spring based on Android can be implemented by users as an alternative to learning the concept of fractions
Pengembangan Digital Flipbook berbasis Dolanan Lokal untuk Meningkatkan Literasi Membaca Siswa SD di Desa Palaan pada Era Covid-19

The purpose of this study was to produce a digital flipbook based on local games to improve the reading literacy and reading literacy. The method used is the research method (R&amp;D), researching potential and problems, gathering information, product design, design validation, design revision, initial trial, product revision, usage trial, and product revision. Data analysis used descriptive percentage and N-gain test. The results of the study were based on the average value of the validity test on digital flipbooks based on local games in the media field 94%, material field 93%, reading literacy instrument field 93%, and student response field 95%, with criteria for all fields "very feasible" used. There is an increase in the reading literacy of elementary school students and the average pretest score is 66.63 to an average posttest score of 86.63 with an N-gain value of 0.71 which is included in the high category score.
Pengaruh Kebiasaan Menulis Menggunakan Kata Baku di Media Sosial Terhadap Keterampilan Menulis Mahasiswa di Perguruan Tinggi

The purpose of this study in general is to determine the effect of the use of social media on students' writing skills. This study uses a qualitative and quantitative approach, a quasi-experimental type of research (quasi-experimental) with a non-equivalent control group design pattern. The data collection technique used in this research is a test with a test sheet instrument in written or essay form. The results showed that there was a significant difference between writing habits (using standard words) on social media and the writing skills of PGSD students at Muhammadiyah University of Gresik. This is because the degrees of freedom (df) are 25 with tcount &gt; ttable, namely 5.251 &gt; 2.342, so Ho is rejected and Ha is accepted.
Implicature Analysis on English Textbooks for Junior High School: A Comparison Between National and International English Textbooks

Indonesian government provides both national schools and international schools with different English exposures and different language uses that are implemented in the textbooks. Considering the importance of understanding implicature for students, it needs to be investigated what type of textbook has sufficient resources of implicature for students� learning. Nevertheless, there is a small number of previous researchers that consider comparing textbooks from different types of schools with different curricula in terms of conversational implicature. Therefore, this study aimed to identify the types and analyze the implied meaning of conversational implicature and flouting of Grice�s maxim that is used in When English Rings a Bell for Junior High School and Cambridge Global English for Lower Secondary textbooks, as well as to find the distinctions that are shown in both textbooks in terms of the implicature. This study employed a descriptive qualitative research method with a content analysis approach. This study found that there were 19 conversations from 241 pages collected from When English Rings a Bell and 17 conversations from 152 pages from Cambridge Global English for Lower Secondary which were categorized into GCI and PCI as well as the four maxims (Quality, quantity, relevance, and manner). Therefore, the percentage for the occurrence of conversational implicature and the flouting of the maxim is higher in the international textbook. In conclusion, as the whole comparison, the most noticeable distinction shown in both textbooks is in terms of the way both textbooks provide content of the learning material in the form of conversation. It is also shown the different level of language use in both textbooks that will affect the complexity of the implied meaning in the conversations where the international textbook provides conversations with clearer context and the implied meaning are way more complex.
NMT verb rendering: A cognitive approach to informing Arabic-into-English post-editing

Abstract Machine translation (MT) has made significant strides and has reached accuracy levels that often make the post-editing (PE) of MT output a viable alternative to manual translation. However, despite professional translators increasingly considering PE as a valid stage in their translation workflow, little has been done to investigate MT output for the purpose of informing training in PE. Against this background, the present project focuses on the handling of tense and aspect configurations in the English translation of Arabic sentences using current neural machine translation (NMT) systems. Using a dataset of representative Arabic sentences, the output of five NMT engines was assessed against reference translations. The investigation reveals regressing accuracy levels when comparing morphological, structural, and contextual tenses. These findings are believed to represent valuable information that contributes to a more informed training in the PE of Arabic-into-English NMT output.
The need for sustainable local management to solve the reality of increasing traffic congestions in Iraq

The need to find solutions based on sustainable methods for the transportation sector in Iraq has become an urgent necessity due to the ever-increasing volume of traffic congestion caused mainly by the increase in the number of vehicles and the total dependence on them for transportation in the absence of other alternatives.This increase in traffic congestion drains all of the fossil energy in addition to losses in time, health and comfort of users and those close to the roads.Also, it increases the costs in maintaining roads and vehicles, as well as the harmful effects on the environment.A number of literatures have been studied to explain the effects and causes of traffic congestion, especially in countries whose conditions are similar to Iraq.The roads and intersections in the city of Baghdad were monitored, and a number of experts were requested to discuss the causes.A sample questionnaire was conducted that included several levels and ages of Iraqi society to determine the sample's impression on a number of points affecting the local traffic congestion in Baghdad city.It was revealed through the questionnaire that there are four main causes for traffic congestion and there is a strong desire among Iraqis to own and drive vehicles, which led to a significant and continuous increase in their numbers, and this is one of the main causes of congestion.
Educational technological inequalities expressed during confinement by COVID19

In Argentina, in March 2020, face-to-face classes were suspended to prevent the spread of the covid-19 with a prolonged quarantine. The design of this work seeks to know some of the factors that operate at the origin of pre-existing technological inequalities. The information was obtained through a quantitative design with 290 students during the year 2020 in Buenos Aires combined non-experimental with descriptive scope, exploratory in nature through interviews with 3 teachers. Combining both analyses we found relevant findings on socio-educational inequalities, with an emphasis on the interpretative-descriptive of pre-existing quarantine problems and vulnerabilities.
Comparison of some artificial neural networks for graduate students

Artificial Neural Networks (ANN) is one of the important statistical methods that are widely used in a range of applications in various fields, which simulates the work of the human brain in terms of receiving a signal, processing data in a human cell and sending to the next cell.It is a system consisting of a number of modules (layers) linked together (input, hidden, output).A comparison was made between three types of neural networks (Feed Forward Neural Network (FFNN), Back propagation network (BPL), Recurrent Neural Network (RNN). he study found that the lowest false prediction rate was for the recurrentt network architecture and using the Data on graduate students at the College of Administration and Economics, University of Baghdad for the period from 2014-2015 to The academic year 2017-2018.The variables are use in the research is (student's success, age, gender, job, type of study (higher diploma, master's, doctorate), specialization (statistics, economics, accounting, industry management, administrative management, and public administration) and channel acceptance).It became clear that the best variables that affect the success of graduate students are the type of study, age and job.
Polynomials with maximal differential uniformity and the exceptional APN conjecture

We contribute to the exceptional APN conjecture by showing that no polynomial of degree m=2r(2ℓ+1) where gcd⁡(r,ℓ)⩽2, r⩾2, ℓ⩾1 with a nonzero second leading coefficient can be APN over infinitely many extensions of the base field. More precisely, we prove that for n sufficiently large, all polynomials of F2n[x] of such a degree with a nonzero second leading coefficient have a differential uniformity equal to m−2.
Hierarchical label with imbalance and attributed network structure fusion for network embedding

Network embedding (NE) aims to learn low-dimensional vectors for nodes while preserving the network’s essential properties(e.g., attributes and structure). Previous methods have been proposed to learn node representations with encouraging achievements. Recent research has shown that the hierarchical label has potential value in seeking latent hierarchical structures and learning more effective classification information. Nevertheless, most existing network embedding methods either focus on the network without the hierarchical label, or the learning process of hierarchical structure for labels is separate from the network structure. Learning node embedding with the hierarchical label suffers from two challenges: (1) Fusing hierarchical labels and network is still an arduous task. (2) The data volume imbalance under different hierarchical labels is more noticeable than flat labels. This paper proposes a Hierarchical Label and Attributed Network Structure Fusion model(HANS), which realizes the fusion of hierarchical labels and nodes through attributes and the attention-based fusion module. Particularly, HANS designs a directed hierarchy structure encoder for modelling label dependencies in three directions (parent–child, child-parent, and sibling) to strengthen the co-occurrence information between labels of different frequencies and reduce the impact of the label imbalance. Experiments on real-world datasets demonstrate that the proposed method achieves significantly better performance than the state-of-the-art algorithms.
Study on the Logical Reasoning Ability Development of Junior High School Students Based on SOLO Taxonomy

Logical reasoning ability, as a vital part of China's mathematics curriculum objectives, is one of the key abilities that junior high school students should possess. SOLO (Structure of the Observed Learning Outcome) taxonomy is an analysis method pertaining to students' response to a certain question. Based on SOLO taxonomy, this paper sets up an assessment scale that evaluates the logical reasoning ability level of junior high school students. After analyzing four specific cases, the paper obtains some enlightenment on mathematics teaching, which is supposed to help cultivate the logical reasoning ability of students in actual teaching.
An Analysis of Phrases in Technology Brands Slogan and its Contribution in Teaching English Grammar

A phrase is a group of words that serves as a unit of a sentence. There are several types of phrases namely noun phrase, verb phrase, adjective phrase, adverb phrase, and prepositional phrase. A phrase used in an advertisements and promotional activities such slogans. Every commercial product makes a slogan to attract the attention of target market. This study is a content analysis which aimed at analyzing kind of phrases in syntax categories that found in English technology brand slogans and its contribution in teaching English grammar. The method used in this study was qualitative descriptive to investigate and describe kind of phrase in 40 technology brand slogans and clarify the contribution of the analysis to teaching English grammar. In collecting the data, researcher used note taking. The result shown that researcher find some phrases form. The analysis was recommended by the researcher as a teaching media since its accordance with the English teaching syllable.
Students’ Voices of the Use of Facebook and Instagram in Teaching English in the University Context

Today the world of social media has immersed in the world of education and influencing the world of the students’ activities. It is inevitable that students in many levels of education have been using social media in their life either as students or as interactants in the certain community. Therefore, it is interesting to see the existence of social media among the students. In this study, the researchers highlight the use of social media among the students in the university. This research applied a qualitative research design taking 60 students of English in the universities in Makassar. The data of this research were collected by employing a survey of Google Form and analyzed descriptively and qualitatively. The result of the research shows that the English students in the universities in Makassar gave their positive perceptions about the use of social media. The informants has been using social media in their daily life and also nowadays has applied the social media as a tool of learning English. Some advantages and strategies in using social media in learning English were displayed in this study. Findings from this study will become important input for students themselves in the university context and also as beneficial information among the university practitioners in order to make use the social media in the university not only as communication tool but also as learning and teaching tools.
PEDAGOGICAL PRACTICE IN THE SYSTEM OF PROFESSIONAL TRAINING OF INFORMATICS TEACHERS

The importance of practical training of students, namely, pedagogical practice, in the process of obtaining the qualification «teacher of computer science» under the educational-professional program «Secondary education (Informatics)» is described. Current scientific and methodological works on the researched problem are generalized. The educational-professional programs of the first (bachelor's) level are analyzed, according to which future computer science teachers study on the content of different types of practices. The adaptive, didactic, developmental, diagnostic, prognostic, communicative and reflective functions of practice are presented. Propaedeutic and industrial pedagogical practices are singled out, each of which is aimed at the formation of professional competencies and allows students to realize themselves as teachers. The diagram shows the relationship between academic disciplines and propaedeutic practice on the example of the educational program of Rivne State University for the Humanities. The tasks of practice in a secondary education institution are specified. Pedagogical practice is presented as: a method of teaching aimed at consolidating awareness of psychology, pedagogy, computer science and methods of teaching; a means of developing students’ personal and professionally significant qualities; a form of combining the educational activities of students with the pedagogical work of a computer science teacher in a secondary school. It is proposed to implement pedagogical practices in various forms from the first year of study in a higher education institution, combining practical, educational and cognitive, research activities, using the results obtained in course and qualification projects, individual educational and research tasks from the cycle of disciplines.
Pengembangan Media Evaluasi Pembelajaran IPS “MAPS” dengan Game Web Browser Based Learning untuk siswa SMP

Purpose of this research is to produce Social Studies Learning Evaluation Media “MAPS”. This media is designed with a web browser-based learning game for junior high school students, testing their feasibility and practicality. This study adopts seven stages of research and development by Borg and Gall: (1) Analysis of potentials and problems, (2) data collection, (3) product design, (4) design validation, (5) design revisions, (6) product trials, (7) final product revisions. The subjects of this study are social studies teacher and 31 students VII.6 students of State Junior High School 23 Malang with data collection instruments in the form of questionnaires. The feasibility test results that have been conducted, show an average score of 3.71 for material validation, 3.5 for validation of IPS learning evaluation, and 3.87 for media validation. Based on the average value, social studies learning evaluation media "MAPS" is declared "Very Feasible" to use. The media practicality test was conducted based on the response of the test subject. Practicality test results showed a percentage of 97.5% for teacher response results and 87.66% for student response results. Based on the percentage of user response, social studies learning evaluation media "MAPS" can be declared "Very Practical" to use.