Reviewerly/exHarmony huggingface dataset:
The Importance of Disaster Knowledge in Early Childhood for The Future Investment

Disasters carry consequences for humans and their environment. One of the vulnerabilities to disaster is caused by a lack of knowledge of disasters. Indonesia is a region prone to disasters. This is due to Indonesia's position which is surrounded by three world tectonic plates and also located in the ring of fire, the most active volcano in the world. According to data from the National Disaster Management Agency (BPNB), during 2018-2019 there have been 3860 natural disaster incidents. The attitude that needs to be raised in minimizing the existence of a disaster is the anticipatory attitude that is accompanied by knowledge to deal with the disaster. Disaster education is one of the directives of the president in disaster management. In line with this directive, it is necessary to transfer disaster knowledge to the community especially to early childhood. Early childhood is a golden period, where the brain develops very quickly and can receive and absorb any good or bad information. For this reason, the purpose of this article is to examine the importance of disaster knowledge for early childhood. This article was compiled using the literature study. Strengthening disaster knowledge about early childhood is the first step towards realizing a disaster-aware society. Disaster aware society will have a better capacity in dealing with disasters so they are capable of threatening disasters around them. Early childhood is one of the future investments and is one of the vulnerable groups to disasters, it is very important to increase disaster knowledge because Indonesia in the future will be led by today's early generation.
PENDEKATAN ANALISIS DISKRIMINAN PADA PEMBELAJARAN DARING DI MASA PANDEMI COVID-19

Online learning is solution that implemented in the midst of the COVID-19 pandemic. Since COVID-19 pandemic, the learning process at UMSIDA used 100% online learning with UMSIDA e-learning media.It can accommodate students to carry out distance learning. So far, research has not been carried out readiness of students to take part in online learning during the COVID-19 pandemic. Based on this, this research focuses on knowing the readiness of students to take online lectures during the COVID-19 pandemic using discriminant analysis. Based on the results of the analysis of the predictor variable, the strongest differentiator is the flexibility of lecture time (X1) because the variable with the largest coefficient. This means that the variable time flexibility (X1) has the strongest dividing power against online learning readiness during the COVID-19 pandemic. In addition, it also known that according to the student's perspective, the learning media that makes interaction with lecturers the most easy and the learning media that makes it the most easy to understand the material is using video conferencing (Zoom, Google Meet, etc.). On the other hand, choice of the learning system most chosen by students when the COVID-19 pandemic ends is online system 30% and offline 70%.
Relating Relations: Meta-Relation Extraction from Online Health Forum Posts

Relation extraction is a key task in knowledge extraction, and is commonly defined as the task of identifying relations that hold between entities in text.This thesis proposal addresses the specific task of identifying metarelations, a higher order family of relations naturally construed as holding between other relations which includes temporal, comparative, and causal relations.More specifically, we aim to develop theoretical underpinnings and practical solutions for the challenges of (1) incorporating meta-relations into conceptualisations and annotation schemes for (lower-order) relations and named entities, (2) obtaining annotations for them with tolerable cognitive load on annotators, (3) creating models capable of reliably extracting meta-relations, and related to that (4) addressing the limited-data problem exacerbated by the introduction of metarelations into the learning task.We explore recent works in relation extraction and discuss our plans to formally conceptualise metarelations for the domain of user-generated health texts, and create a new dataset, annotation scheme and models for meta-relation extraction.
Number Head Together (NHT) in Teaching Writing in EFL Classroom

This article focused on the effectiveness of Number Head Together in teaching writing in the EFL Classroom. The aim of the study was to improve EFL students’ writing. This study was quantitative research and used an experimental design. The population was 30 students and the sample was 15 students. Purposive sampling was used in determining the sample of the study. The writing test was the instrument used to collect the data. The data were analyzed by using descriptive statistics and paired sample t-test to test the hypothesis. The students' instrument was an essay-informed descriptive text. Furthermore, the researchers used pre and post to compare scores before and after implied Number Head Together. The mean score of the pre-test was 49.06 at p = 1.364 and the post-test was 78.40 at p = 1.576 which was higher than 0.05 (as the standard significance level in SPSS). This value showed the differences before and after implementing Number Head Together. Hence, it can be concluded that Number Head Together was significantly effective in teaching writing in the tenth graders of Public Vocational High School (SMKN) 1 Janapria, Indonesia. However, The student's writing improves because in grouping the students able to help each other.&#x0D; Keywords: Number Head Together (NHT), EFL Classroom, Teaching Writing
Investigating the Use of Eye Fixation Data for Emotion Classification in VR

Eye-tracking technology has become popular recently and widely used in research on emotion recognition since its usability. In this paper, we presented a preliminary investigation on a novelty approach for detecting emotions using eye-tracking data in virtual reality (VR) to classify 4-quadrant of emotions according to russell’scircumplex model of affects. A presentation of 3600 videos is used as the experiment stimuli to evoke the emotions of the user in VR. An add-on eye-tracker within the VR headset is used for the recording and collecting device of eye-tracking data. Fixation data is extracted and chosen as the eye feature used in this investigation. The machine learning classifier is support vector machine (SVM) with radial basis function (RBF) kernel. The best classification accuracy achieved is 69.23%. The findings showed that emotion classification using fixation data has promising results in the prediction accuracy from a four-class random classification.
Analysis of Illocutionary Acts on English Teachers’ on Teaching Process in Classroom at SMPN 01 Patamuan Padang Pariaman

This research uses a qualitative approach.This type of research is descriptive research.The data collection technique was carried out by observation, while the data analysis technique used was qualitative descriptive technique and pragmatic analysis.The purpose of this study was to analysis of illocutionary act on English teachers in teaching and learning at SMPN 01 Patamuan Padang Pariaman.This study used a qualitative research method based on Yule's 1996 theory.The results showed that the meaning contained in illocutionary acts consisted of four components, namely representative, directive, expressive, Commissive, and declarative components.These found for English teacher one and two 255 utterances, indicate that representative of 55 utterances then directive 75 utterances then 60 expressive utterances and 65 Commissive utterances and no declarative utterances.And the most dominant component of illocution is directive, namely asking
Quantifying gender bias towards politicians in cross-lingual language models

Recent research has demonstrated that large pre-trained language models reflect societal biases expressed in natural language. The present paper introduces a simple method for probing language models to conduct a multilingual study of gender bias towards politicians. We quantify the usage of adjectives and verbs generated by language models surrounding the names of politicians as a function of their gender. To this end, we curate a dataset of 250k politicians worldwide, including their names and gender. Our study is conducted in seven languages across six different language modeling architectures. The results demonstrate that pre-trained language models’ stance towards politicians varies strongly across analyzed languages. We find that while some words such as dead , and designated are associated with both male and female politicians, a few specific words such as beautiful and divorced are predominantly associated with female politicians. Finally, and contrary to previous findings, our study suggests that larger language models do not tend to be significantly more gender-biased than smaller ones.
IDENTIFICATION AND PROCESSING OF DATA ANOMALIES IN MACHINE LEARNING TASKS

The paper presents the procedure of identification and processing of data anomalies at the stage of preliminary data processing in machine learning tasks. The procedure consists of three stages. At the first stage, emissions are detected in the data samples. A large number of methods are used for this. The choice of a particular method depends on the task of machine learning, the structure of the data set and the types of data being processed. The methods used at this stage are methods of statistical tests, methods of metric tests, methods of model tests, iterative methods, methods of machine learning, ensemble methods. Until the second stage, the analysis of the causes of emissions is carried out. The causes of emissions include: causes of measurement errors and causes of data processing errors, the results of external influences, or errors in data records. In the third stage, there is a final processing of data sets with emissions, in which there is a removal of emissions or normalizing transformations. The effectiveness of the procedure was tested on different data sets.
Visualization of Scientific Phenomena for Education

Visualization can be defined as a technique that allows us to obtain the perception of an object/event in a clear and consistent way. The use of visualization in education is a key factor to explain complex information in a clear way. Therefore, it is essential to have tools capable of visualizing various types of data. An example of a data type is the weather forecast data, which includes various atmospheric data for a given place, and allows the simulation of the atmospheric evolution. It is used for decision making in many areas, such as, agriculture, fishing, tourism, etc. Thus, it is beneficial to demonstrate the usefulness of this type of visualization to better understand the meteorological phenomena, as well as to teach scientific visualization techniques in order to enable access to information that otherwise can only be interpreted by qualified people. In this article it will be discussed the scientific visualization and its benefits to the area of meteorology, and it will be presented a case study of data visualization using the ParaView tools for meteorological data visualization and analysis. ParaView is a multiplatform tool based on the Visualization Toolkit (VTK) that provides features to process, analyze, and visualize various types of data. This study aims to present a tool for scientific visualization and to demonstrate its applications and usefulness for education.
DIDACTIC POSSIBILITIES OF COMPUTER MODELING OF BODY MOVEMENT ON LESSONS AT PEDAGOGICAL UNIVERSITY

The didactic possibilities of the body movement modeling by replacing it with the material points system, which connected among themselves by weightless viscous elastic rods, are discussed. It is shown that the modeling of the body by a system of particles bound by viscoelastic weightless rods, obeying the basic law of dynamics, really allows: 1) to obtain the computer animation, i.e. the visual image of moving body at successive moments of time; 2) to plot the change of coordinates, velocities and accelerations of any of its points over time; 3) to model the translational, rotational, flat and spherical motion of the body, the interaction of the body with the surface or other body, to study the swimming of bodies, precession of the gyroscope and other phenomena; 4) to activate the mental activity of students, increase their motivation to learn. The tasks are considered: about collision of viscoelastic body with solid surface; about destruction of beam with defect; about the rotating wheel falling on surface; about flight of the rubber ring; about collision of two bodies; about the swimming of body with attached load; about the flexible ruler falling on cylinder; about the chain falling on cylinder; about the disk rotating on the horizontal surface; about the tumbling disk; about the gyroscope precession. The paper contains 8 figures obtained as a result of computer modeling of the above phenomena. As result of the analysis of the solved problems, it is shown that the modeling of a viscoelastic body by the method of bound particles has great didactic possibilities. It allows: 1) to study translational, rotational motion, deformation of bodies, gyroscope precession, etc., to update the knowledge of the relevant concepts and laws of mechanics; 2) to intensify the educational and cognitive activity of students, to increase their motivation for learning and its effectiveness; 3) to master the method of computer modeling, get acquainted with the solution of various professional tasks, explain the algorithms used and the simulation results at the school or pedagogical university level; 4) to develop the physical and algorithmic thinking, the ability to use the coordinate method and to perform information processing; 5) to organize an interactive dialogue between the student and the computer program; 6) to visualize information about the state of the object, build the trajectory of its points, the dependency graphs of coordinates and speeds on time; 7) to create various animations of body movement, to form a visual image of the corresponding phenomena; 8) to create problematic situations that require editing a computer program, changing system parameters, initial conditions and external influences; 9) to deepen the inter-subject connections between mathematics, physics and computer science.
PRE-READING SKILL THROUGH BULLETIN BOARD MEDIA FOR CHILDREN AGE 5-6 YEARS

This study aimed to improve the ability of pre-reading by using bulletin boards for children aged 5-6 years. This research was a Classroom Action Research (CAR) which consists of two cycles. Each cycle consists of two meetings and four stages are carried out, namely planning, implementing the action, observing and reflecting. The subjects of this study were children aged 5-6 years at TK Khadijah III Pucung for the 2018/2019 academic year with 14 children. Data collection techniques using observation data, interviews, tests and documentation. The validity test of the data through triangulation of sources and triangulation of techniques. The data analysis technique used is qualitative analysis and quantitative analysis. The results of this classroom action research indicate an increase the pre-reading ability of each cycle. The pre-action completeness percentage obtained a result of 35% with 5 children who got a complete score. In the first cycle it increased by a percentage of 57% or 8 children who got a complete score, and in the second cycle it increased by a percentage of 86% or 12 children who got it. Based on the description above, the results of classroom action research carried out in two cycles can be concluded that bulletin board media can improve the pre-reading ability of group B at TK Khadijah III Pucung Academic Year 2018/2019.
Denoising of MST RADAR Signal usingCWT and Overlapping Group Shrinkage

Existing algorithmsare generally denouncing the existence of clusters with large amplitude coefficients. The L1 norm as well as other distinct models of sparsity does not attract a cluster tendency (group sparsity). In the light of a minimisation of convex cost work fusing the blended norm, this work introduces the technique "overlapping group shrinking." The groups are completely overlapping in order to abstain from blocking relics. A basic minimization calculation, in light of progressive replacement, is inferred. A straightforward strategy for setting the regularization boundary, in view of constricting the noise to a predefined level, is portrayed in detail by combining OGS with one of the most powerful mathematical tool wavelet transforms. In fact, the CWT coefficients are processed by OGS to produce a noise-free signal. The CWT coefficients are also processed.The proposed approach is represented on MST RADAR signals, the denoised signals delivered by CWT combined with OGS are liberated from noise.
Implementasi Client-Server Pada Sistem Informasi Pengolahan Nilai Siswa Menggunakan Object-Oriented Programming

ABSTRACTThe use of information technology in educational institutions be necessary for work to be efficient and flexible. The process of reporting student data and assessment results at SMA Negeri 1 Dharmasraya is still manual using paper (paper-based), and there is no specific storage for the database. To make reports on student learning outcomes and share resources easier then an information system was built on a client-server network using object-oriented programming with a centralized database so that the stored data can be organized. The build systems using the System Development Life Cycle waterfall model, which starts from the analysis, design, coding, testing, and maintenance. The results of this study are the establishment of a multiuser system that implements the use of client-server computer networks to process student grades.Key Words: Client-Server, Information Systems, OOP
Sentiment Analysis on New Currency in Kenya Using Twitter Dataset

Social media sites recently became popular, it is clear that it has major influence in society, and almost one third of the entire world are in social media. It became a platform where people express their feelings, share their ideas, wisdoms and give feedback of an event or a product, with help of new technology it gave us an opportunity to analyse these contents easily. Twitter being one of these sites, with full of people opinions, where one can truck sentiment express about different kind of topics, instead of wasting time and energy for long surveys, due to advance sentiment analysis we can now collect a huge data of opinions of people. Sentiment analysis was one of the major interesting research area nowadays. In this paper we focused Sentimental insight into the 2019 Kenya currency replacement. Kenya government has announced that the country currency is to be replace wıth new generatıon of bank notes, the government ordered the Kenyan citizen to return back the old 1000 shilling notes ($10) to bank by 1st October 2019, in a bid to fight against corruption and money laundering. Kenyans citizen expressed their reaction over new banknotes. We perform sentiment analysis of the tweets using Multinomial Naïve Bayes algorithm by utilizing data from one of the social media platform–Twitter and I have collected during this period of demonetization, 1122 tweets from twitter using web scrapper with help of twitter advance search.
Does activeness in organization improve English speaking skill? : University students' perspective

The challenging nature of speaking English in connection to organization activeness of university students lead to some issues. The scarcity of research on that area was amongst the rationales behind conducting this present study. This study aimed to investigate students' perception on organization activeness in improving English speaking ability. A phenomenon in the background of this study indicates the significance of organizational activities fot university students and the salient of English in educational context. This study was conducted at State Islamic University of Sunan Ampel Surabaya participated by 30 students of English Education department whom have actively involved the intra or extra campus organization. The instrument used to collect data for this study was a questionnaire that has been tested for its its validity and reliability. The results of the present study revealed that the student generally demonstrated their positive reflections on that the organizational activeness contributes to improving their English speaking ability.
Hybrid Method for Detecting Duplicate Image by Using Image Retrieval Technique in Data Mining

Duplicated images cause several problems in online sites, so these demand special attention. To address the disadvantages of frames copy detection, the Hybrid Method of Detecting Duplicate Image by Using Image Retrieval Technique in Data Mining was proposed. We use the new method of eliminating duplicates in this example. To address the disadvantages of frames copy detection, the Hybrid Method of Detecting Duplicate Image by Using Image Retrieval Technique in Data Mining was proposed. The new method of eliminating duplicates in this example has proposed. Using this method, you can get rid of frames that aren't relevant to the video. This makes for more precise and faster video retrieval with fewer duplicates. As a back end, this technique is implemented in C# and SQL. The findings are put to the test and compared to the current SIFT process. The results showed that the output improved accuracy while reducing storage space, computational time, and memory use.
THE CUSTOM QUALITIES OF TEXTBOOK IN THE PUPILS’ ASSESSING OF BASIC SECONDARY EDUCATION

The article highlights the results of the pilot study with regard to the evaluation of the custom quality of textbook by students of basic secondary education through their assessment of structural components (student texts, drawings, charts, graphs, diagrams, tasks of different types, field works, educational projects, glossary of terms) of natural science textbooks (biology, chemistry, geography) using the author’s methods. The overall assessment as to the custom quality of biology, chemistry and geography textbooks for 9th grades was provided and separately the measurement of custom quality of their polycode texts (drawings, charts, graphs, diagrams), together with all components which require effective implementation (tasks, field works, educational projects, glossary of terms). At the time of this study the following was found out: 1) The proximity of integral assessments of textbooks and affinity of average score of their individual parts which can be attributed to approximately the same experience of every pupil resulting from using of these textbooks, along with linguistic and didactic similarities of their texts and similarity of structural arrangements of textbooks as a whole. 2) The high rate of empirical coefficient of determination on all data categories of evaluation results that reaffirm that at the time of the study the custom quality of textbook were highlighted from the point of view of pupil. There are four factors that have been experimentally established («Accessibility», «Visibility», «Interestingness», «Practicality») which characterize the custom quality of textbook from the point of view of the ninth-grader. Thus, the factor «Accessibility» incorporates such characteristics of textbook as simplicity and comprehensibility of its teaching texts, as well as the presence of drawings therein; «Visibility» includes diagrams, graphs and tables; «Interestingness» is a interestingness of study texts and also placement of tests and vocabulary. «Practicality» implies the presence of educational projects and practical works. The textbook is considered to be a means of scientific activity and the performance measures for the utilization of the latter depends on the quality of method and users’ attitude towards structural issues of textbook.