Reviewerly/exHarmony huggingface dataset:
MENGIDENTIFIKASI HOAX PADA HASIL PENCARIAN BERITA ONLINE DENGAN TEKNIK WEB SCRAPING DAN ALGORITMA C4.5

Online news is a journalistic product reports the facts or events that are produced and distributed via internet. However, not all of the information through online media is a real facts, also described as hoax. The large number of hoax news occurs, of course, deliver the impact on the people who look on the news, so it could cause misperceptions or inappropriate actions. We exploit a web scraping technique to extract the content from search search engines results. Furthermore, we employ the C4.5 algorithm for the classification process. There were three parameters as references: invitation to spread the news, credibility of the sources, and provoking title. The results of this work were a decision tree, that able to classify a news content as a hoax or legitimate. From the experiments which carried out, the accuracy of classification using the web scraping and C4.5 algorithm achieved 80% of success rate in determining the hoax.
The Use of the Relational Concept in the Arabic Morphological Analysis

The Arabic language differs from other natural languages in its structures and compositions.In this article we have developed an Arabic morphological analyzer.For this, we have used the relational concept in the database to build our Arabic morphological analyzer.This analyzer uses a set of tables which are linked together by relationships.These relations model certain numbers of compatibility rules between different affixes.Our morphological analysis have been trained and tested on the same databases.The tests of our new approach have given good results and the numbers obtained are very close to those of existing analyzer.
Analysis of the Multimedia Use of Primary Schools

Multimedia in learning could make the learning atmosphere more attractive for student attention and student interactions. The objectives of this research were: (1) describe the use of multimedia learning by elementary school teachers in Kendari City; (2) analyze the comparison of the use of multimedia learning in terms of school accreditation by the teacher at elementary school in Kendari City; (3) analyze aspects of obstacles in the use of multimedia learning for elementary school teachers in Kendari City. This research used mixed methods with a sequential exploratory strategy held at the Kendari City Elementary School. The school sample was determined using the random cluster sampling technique selecting 3 schools from 11 sub-districts. Each sub-district took 2 accredited A and non-A public schools and 1 accredited private school so that the total respondents were 66 people. Research data was collected through observation forms and interviews. The results of this research showed that: (1) multimedia learning use by primary school teachers in Kendari City was still good; (2) there was a meaningful comparison of the use of multimedia learning by elementary school teachers in Kendari City in terms of school accreditation; (3) aspects of barriers to the use of multimedia learning by primary school teachers in Kendari City include: (a) teachers 'lack competence in IT, (b) teachers' misconceptions about learning multimedia, (c) the lack of support structures and infrastructures, (d)) the lack of training on multimedia learning means, (e) the lack of involvement of the educational software used by teachers to support learning activities.
Research on the use of virtual reality in intervention and rescue activities

In recent years in the virtual reality the developers succeeded in creating an artificial environment that simulates reality so that the user has the impression of an almost real physical presence in the virtual world. By overlapping and synchronizing the projected images with spatial sounds and even forces that interact with the user, there is a detachment of the user from the real environment and an all-encompassing involvement in the virtual world. The virtual reality is present in aviation, medicine, military training and other top fields. The advantages of using the virtual environment are obvious for areas where inexperience can cause very high loss of life and material loss. Although the participants are immersed in the scenario of the virtual environment, the errors produced allow an evaluation of the mistakes made and their correction, the experience gained being then used in professional activity in the real world. Through the experience of the virtual environment, the fear of various dangers can be overcome, so that the objectives of the exercise can be fulfilled. The aim of the paper is to offer to the rescuers opportunities to interact with the elements of the virtual space to fulfill the purpose of the exercise.
Syllabus Design for Writing Course: EFL Learners’ Needs

Analyzing English as Foreign Language (EFL) learners’ needs in writing courses is an important thing that should be done by teachers. This is done in order to meet what EFL learners needs for writing course, and what should be planned and written in the syllabus. The purpose of this research is to analyze EFL learners’ needs for writing course especially in terms of learning materials, learning strategies, learning supports, and mastery of writing aspects. The design of this research was descriptive research. 50 EFL learners in Universitas Lancang Kuning were involved in this study as respondents of this research. To collect the data, a questionnaire was used with 20 statements available. The data from the questionnaire was analyzed descriptively by giving deep explanation towards the data. The result showed that most EFL learners were chosen response “agree” from the questionnaire. It means that the EFL learners very need good and acceptable learning materials, learning strategies, learning supports, and good competence in terms of writing aspects. In conclusion, the EFL learners’ needs for writing course are varied, but in general, the EFL learners expect good learning environment for writing course such as utilizing appropriate technology, attractive teaching media, and acceptable learning materials.
Diagnosis of Diabetes Using Naïve Bayes Classifier Method

Not a few people suffer from diabetes, diabetes is usually caused by genetic inheritance from parents and grandparents. Not only from heredity but many criteria or characteristics can determine a person has diabetes. This research was conducted by looking for a dataset on Kaggle that contains criteria for someone diagnosed or undiagnosed with diabetes such as age, gender, weakness, polyuria, polydipsia, and others. Furthermore, from these criteria, predictions are calculated using the Naive Bayes classification method where this method is one of the data mining techniques. This prediction calculation uses the Python programming language. From these criteria, each criterion is grouped with similarities and the results of the program that have been made can diagnose someone with diabetes. The prediction calculations that have been carried out have resulted in 90% accuracy, 93% precision, 89% recall, 92% specificity, and 91% F1-Score.
A Survey on Currency Identification System for Blind and Visually Impaired

At present the currency recognition for visually impaired and blind people has become a vital topic for the researchers in the different applications. The money exchange is an important part of our daily life activities. But it becomes very difficult for visually impaired and blind people to recognize the currency values in the financial exchanges and they easily betrayed by the other people. Accordingly, there seems an urgent requirement to scheme a framework that is useful in recognizing paper money notes accurately. There is a huge area for currency differential detection and it has evolved over many years. The paper explores currency identification and provides a comprehensive overview of the current literature on techniques for identifying currency notes, encouraging the survey effort to provide an effective system for blind and visually impaired people
Mineralogical-Petrographic Study of the Thaba Mine, Western Bushveld (South Africa)

Here we present results of a detailed petrographic and mineralogical study of rock textures in a vertical profile through the Middle Group chromitite layers at the Thaba mine in the north-western part of the Bushveld Complex, South Africa
Enhancing Students’ Green Ethic-Based Problem Solving Skills in English for Tourism Subject Course

This study aims to examine the development of students' core competencies in learning English for Tourism at Tourism Department Politeknik Negeri Bali, where the main product is a green ethical-based measurement instrument for Core Competencies Practices of Problem Solving Skills. Two types of instruments have been created and designed and then used to assess the level of Development in the teaching and learning process for students and lecturers. The results of the Students' Report trial show that overall the instrument is suitable for widespread use. Confirmatory factor analysis results also show the validity of the sub constructs for each main construct. The results of the level of development of Core Competencies show that the minimum development of students' Core Competencies is above 4.2. This means that the development of student Core Competencies has been achieved. For this reason, the Core Competencies development model must maintain to be developed, tested and finally implemented.
Increasing Students' Reading Interest With a Text-Rich Environment as a School Literacy Movement

Literacy skills are critical in this millennium, so schools are in charge of shaping literate humans.The purpose of this research is to determine how the school literacy movement can be implemented by creating a text-rich environment.The literature review method was used in this study.Data was obtained, collected, analyzed, and a conclusion was reached.According to the findings of the study, a text-rich environment is an implementation of the school literacy movement that can increase students' reading interest.
Implementasi Cloud Based Video Conference System Menggunakan Amazon Web Service

Since December 2019, the world and Indonesia have fought a major disaster, namely the Covid-19 virus pandemic. With the rapid spread or transmission of the virus, the Indonesian government decided to impose social distancing or social restrictions that impacted the education sector. Students and lecturers cannot conduct lectures face-to-face in class or laboratory, but lectures must be conducted online. For that, we need an open-source system developed by the campus in carrying out online courses. This application was developed using cloud technology and JITSI as an open-source video-conferencing application. In this study, testing of the features that exist in video conferencing and resource usage on the server is carried out. The results of feature testing on the application run as expected with several important features used for learning such as chat, share screen, recording features that can run optimally. The result tested the system resources based on the number of participants, 31 participants with an average use of 2.1GB RAM and 78 participants with an average RAM usage of 2.8GB.
Analysis of authorship attribution technique on Urdu tweets empowered by machine learning

Theprocess of identifying the author of an anonymous document from a group of unknown documents is called authorship attribution. As the world is trending towards shorter communications, the trend of online criminal activities like phishing and bullying are also increasing. The criminal hides their identity behind the screen name and connects anonymously. Which generates difficulty while tracing criminals during the cybercrime investigation process. This paper evaluates current techniques of authorship attribution at the linguistic level and compares the accuracy rate in terms of English and Urdu context, by using the LDA model with n-gram technique and cosine similarity, used to work on Stylometry features to identify the writing style of a specific author. Two datasets are used Urdu_TD and English_TD based on 180 English and Urdu tweets against each author. The overall accuracy that we achieved from Urdu_TD is 84.52% accuracy and 93.17% accuracy on English_TD. The task is done without using any labels for authorship
THE LEADING FACTORS OF FORMATION AND DEVELOPMENT OF SPECIAL EDUCATION SYSTEM

Никоненко Н
The Effect of Service Quality on Internal Stakeholder’s Satisfaction: Evidence from Private Higher Education Institutions in UAE

Higher education is considered as the shield of the nations and the benchmark of progress, it is essential for it to be sustainable and to have continuous development. Private Higher Education plays a key role in the UAE, attracting many students. There is a great competition between these institutions in terms of providing the appropriate educational services, to win and satisfy the stakeholders. Undoubtedly, the satisfaction of stakeholders with the quality of educational services provided is the primary concern of any educational institution. The focus on the student takes special. However, the satisfaction of the staff who works to provide this service is also important and to be taken care of with high importance. Hence, the main purpose of this study is to focus on the quality of higher education services and its impact on the internal stakeholders’ satisfaction in the private higher education institutions in the UAE. HEdPERF and SERVPERF compiled scale was used for evaluating service quality and internal stakeholders’ satisfaction and survey method utilized to gather the data. A total number of 1264 students, 54 Professors and 93 non- academic staff participated in the survey.
The Analysis of Vocational Students’ Metacognition in Solving Mathematical Problems Based on Self-Efficacy

This study aims to analyze the metacognition of vocational students in solving mathematical problems based on their levels of self-efficacy.This is qualitative research with a descriptive method.Data collection techniques used questionnaires, tests, and interviews.The subject of this study were 6 students with different levels of self-efficacy who are selected using the purposive sampling technique.The results indicate that vocational students who have high self-efficacy in solving mathematical problems were able to use their metacognitive activities to the maximum, namely being able to understand and identify problems, make a plan of completion and implement it, check every step work carefully, and evaluate the thought process.Students with medium self-efficacy are less than optimal in using their metacognitive skills, can identify information that is known but not focused on the core of the problem so that she is less able to plan settlement strategies, so when monitoring and evaluating she doubts of the process and don't realize that the result is not appropriate.Students with low self-efficacy tend not to carry out their metacognitive activities properly, namely cannot understand the problems and not planning a solution strategy thus causing activities at the monitoring and evaluation not activated properly.
Applying Graph Theory to Analyze Literature and Social Networks

Applying Graph Theory to Analyze Literature and Social NetworksIn this chapter, we introduce topological graphs as a way to incorporate abstraction in the analysis of literary works.By using graphs to visualize the relationships between characters in the text, we provide practical tasks that offer new ways to interpret plays, short stories, and novels.Likewise, we show how graphs can describe social networks that in turn reveal how ideas, as well as communicable diseases, are spread through society.Within the liberal arts classroom, computational thinking occurs in how we gather information from the text, how we make connections within the text (whether they be between the characters in the story or the interactions of historical figures within a period of history), how we draw conjectures or predictions, or how we represent the information we have learned from the text.Interpreting works of literature, historical events, or social interactions employs critical thinking skills, decision-making processes, and drawing connections or conjectures.Many different perspectives can coexist in the interpretation of the text or historical event, just as there exist many mathematical and computational strategies to help you achieve a solution to a problem.We provide examples of using computational thinking to gather and digest information in ways that can be abstracted into a visual aid (namely, a topological graph) that leads to analyzing the resource to produce a more nuanced and deeper understanding of the material.Topological graphs represent the connections or relationships between pairs of objects (see figure 3.1 as an example).They can be used to visually represent the relationships between characters in a story, to connect characters with places and events, to keep track of known evidence and information in a mystery plot, and much more.Topological graphs are made up of two parts: points and the lines connecting them.The points, called vertices (singular: vertex), represent the elements in the set.The lines, called edges, represent relationships between vertices.If the relationship is mutual, then the edge is undirected (meaning it is not an arrow).This is the structure for a social media site like Facebook, where two people have to mutually agree to be friends in order to view each other's posts.If the relationships are not mutual, then the edges are directed (meaning they point from one vertex to another).The structure for Twitter's social media site is not mutual, because you can follow one user and see their posts without their having to follow you back.Ask your students how a different social media platform would be represented in a graph.For example, Snapchat's structure (at the time of this writing) is a combination of directed and undirected edges, because friends are established mutually (undirected) but subscriptions are directed.Topological graphs can hold additional information.Edges could be assigned a numerical weight (such as the capacity of a pipe or the amount of energy needed to get
The Scientific And Methodological Support For Pedagogical Giftedness Development

The problem of developing the future teachers' pedagogical giftedness is due to the transformation of modern education. It is caused by the dynamic processes happening in society. The necessity to develop qualities that allow an educator to be successful in emerging situations of uncertainty requires high rates of professional competencies development. The scientific and methodological support of the process of developing pedagogical giftedness allows taking into consideration the arising problems and difficulties and provides targeted assistance in professional self-development in the process of teachers' training. The purpose of the study is to develop and prove the effectiveness of scientific and methodological support for the pedagogical giftedness development in future teachers in the context of modern education transformation. Methodology, methods and techniques are methods of theoretical analysis, empirical methods (survey, testing, analysis of documentation, comparison of the data of the ascertaining and control sections). The results show the level analysis of the future teachers' professional competencies reflected the effectiveness of the developed content of scientific and methodological support for the pedagogical giftedness development. The developed support algorithm is based on the posteriori model of a future educator's training, professional skills, gradually mastered in the professional activity experience, already at the stage of obtaining pedagogical education, constitutes the qualities that characterize pedagogical giftedness.
Max stable set problem to found the initial centroids in clustering problem

In this paper, we propose a new approach to solve the document-clustering using the K-Means algorithm. The latter is sensitive to the random selection of the k cluster centroids in the initialization phase. To evaluate the quality of K-Means clustering we propose to model the text document clustering problem as the max stable set problem (MSSP) and use continuous Hopfield network to solve the MSSP problem to have initial centroids. The idea is inspired by the fact that MSSP and clustering share the same principle, MSSP consists to find the largest set of nodes completely disconnected in a graph, and in clustering, all objects are divided into disjoint clusters. Simulation results demonstrate that the proposed K-Means improved by MSSP (KM_MSSP) is efficient of large data sets, is much optimized in terms of time, and provides better quality of clustering than other methods.
Kontribusi Kunjungan Rumah terhadap Kesulitan Belajar Siswa

Home visits are carried out to recognise family conditions related to problems faced by children, such as learning difficulties during the Covid-19 pandemic, students lack of concentration, do not understand the course material, and indifference in learning. The purpose of this study is to describe home visits, learning difficulties and to determine the contribution of home visits to students' learning difficulties. The research design in this study is quantitative with a simple regression analysis method. The population is 684 students using purposive sampling technique and recruiting as many as 65 students in class X. The instrument is the scale of home visits and learning difficulties. The results showed that home visits contributed to learning difficulties experienced by students by 12%. Based on the ANOVA test, it can be seen that the significance value of .005 which is smaller than .05. It can be concluded that home visits have a significant effect on student learning difficulties and the implications in guidance and counselling in the form of follow-up to guidance and counselling teachers in the implementation of group guidance services, content mastery and group counselling.
Implementation of Shor’s Algorithm in QISKIT by Quantum Computing using IBMQ

Quantum machine learning is the combination of quantum computing and classical machine learning. It helps in solving the problems of one field to another field. Shor’s algorithm is used for factoring the integers in polynomial time. Since the bestknown classical algorithm requires super polynomial time to factor the product of two primes, the widely used cryptosystem, RSA, relies on factoring being impossible for large enough integers. In this paper we will focus on the quantum part of Shor’s algorithm, which actually solves the problem of period finding. In polynomial time factoring problem can be turned into a period finding problem so an efficient period finding algorithm can be used to factor integers efficiently.
ANALISIS KETERAMPILAN BERBICARA SISWA KELAS V PADA PEMBELAJARAN BAHASA INDONESIA DI SEKOLAH DASAR

Speaking skill is one of the four language skills that are important to master. Because speaking skills are an important element in communicating, so that students can convey messages and ideas well. The purpose of this study is [1] to determine the speaking skills of 5th grade students of SDN 01 TARANTANG [2] To assist in making speaking skills teaching materials based on the results of the analysis of 5th grade students' speaking skills of SDN 01 TARANTANG. The research approach used in this research is descriptive qualitative research with analytical methods. With data collection techniques through oral tests and literature studies. Based on the results of the analysis that has been carried out by researchers on 5th grade elementary school students, it can be seen that the average score of students' scores is 60 with the provision that 3 students have the highest scores such as KPA, SO, WSP by getting an overall score of 91, then for the lowest score, namely PI, TR, WFR with an overall score of 33, the reason is that they did not take the exam at all and did not answer the questions given by the researcher.