Reviewerly/exHarmony huggingface dataset:
The Effect of Teaching English Using Realia Media on Students’ Speaking Ability

This goal of this study was to see if there was any significant effect on students’ speaking achievement after they were taught using Realia media at MTs Muhammadiyah 1 Pekanbaru. This quantitative research method used a pre-experimental design. The technique of collecting the data used total sampling. It took one class; the eighth grade as an experimental class that consisted of 12 students. The researcher administered one time of pre-test, six times of treatments, and one time of post-test. Wilcoxon Signed Rank Test was used to analyzed the data and the hypothesis testing was analyzed by using SPSS version 20.00 at the significant level of p&lt;0.05. The mean score increased from 43.42 up to 60.92. The result of hypothesis testing showed that the significant (2-tailed) is p value=0.003 and the level of significance is if p value&lt;0.05. It means there was a significant effect on students’ speaking achievement after they were taught by using Realia.
Historical and scientific information as one of the means of mastering the basic sections of mathematical analysis by students

И. К. Зубова И
The Effectiveness of Javanese Script Reading Media in Improving Javanese Script Reading Skills in Elementary Schools

The low skill of students in reading Javanese script today needs attention from the teacher.Efforts are needed to develop Javanese script learning starting from an analysis of student difficulties, the media used, to methods that make it easier for students to understand the variety of Javanese script.This study aims to see the effectiveness of using Javanese script media in improving Javanese script reading skills.The approach used in this study is a quantitative approach with statistical data analysis techniques from several studies.The type of data used is secondary data.The data collection technique used is the analysis of several research results.The method used in this research is the Systematic Literature Review method.Data was collected by documenting and analyzing 12 articles that were appropriate to the research topic.Based on the research results, literature studies from several research results and journal articles show that the use of Javanese script reading media can improve students' reading skills in Javanese script.
Hari Widi Utomo Teaching Writing of Recount Text Using “Freeze! Freeze!” Game in Junior High School Level

One of the most difficult skills in English lesson is teaching writing. Therefore, this study aims to find out the effectiveness of “Freeze! Freeze!” game for teaching writing on grade eight students of SMP N 1 Rakit, Banjarnegara. This study is an experimental research at SMP N 1 Rakit. This study consisted of two groups which are experimental and control groups. In collecting the data, the writer used a test and the result was analyzed by using a t-test to find out the effect of the treatment. After analyzing the data, the writer found that there was a positive effect of the use of “Freeze! Freeze!” game in teaching writing of recount text. It could be seen from the result of hypothesis testing that the t-test was higher than the t-table (3.792&gt;1.997). Thus, it can be concluded that the use of “Freeze! Freeze!” game in teaching writing of recount text was effective.
Intelligent Avatar Interaction in 3D Computer Games

The artificial intelligence elements make the computer game more unpredictable and attractive by increasing the creative and emotional involvement of the players.An avatar can be directly controlled by the user through interaction techniques or at certain times, the avatar can make decisions alone in a behavior not controlled by the user.This paper attempts to determine experimentally how the intelligent characters may be trained, what are the level of intelligent behavior an avatar can reach through learning, or how the avatar makes decisions on his own through an adaptive behavior.The paper highlights solutions for efficient and successful training of the avatar.
Pelatihan dan Pendampingan English for Tour Guide Pada Program Pendidikan Kecakapan Kerja 2021 di Kabupaten Situbondo

The Employment Skills Education Program (PKK) is a government assistance program that aims to prepare human resources who are skilled, have character, are competitive, and have the ability to innovate. This is an aid to industry-based courses and training and entrepreneurial opportunities. Through the results of initial observations that have been made, graduated students of English Literature Faculty of Letters UNARS do not have special courses on skills as a tour guide. Through the English for Tour Guide Training program those who are interested in following the skills as a tour guide are included as participants in the 2021 PKK program and will be trained to have competence as a tour guide. PKM program participants who gain the skills to become tour guides will be very useful as their provision to find work. In collaboration with the AUSEI course institution as a service partner for PKM activities, it is hoped that later PKK program participants will have a competency certificate to work. This training and mentoring are carried out for approximately three months where students are given English language guidance and training that focuses on the English for Tour Guide material. During the training, students also had the opportunity to discuss and ask questions if they encountered problems during the training to reach the right solution. The expected outcome of this PKM activity is that students have special skills in English about English for Guides as evidenced by a certificate of competence.&#x0D; &#x0D; Keywords: English, English for Tour Guide, PKK program.
Language Impoliteness among Indonesians on Twitter

The presence of technology changes the way humans communicate in cyberspace compared to the real world. “Hootsuite We are social” research in January 2019 showed that there are approximately 150 million social media users in Indonesia or 56% of the total population. There has been an increase of 20 million social media users in Indonesia compared to last year. The extensive use of social media, including Twitter, is changing the news production platform. News is not only produced by mass media, but potentially by everyone who can produce reports, shape public opinion, and create a virtual society. This condition has a destructive power because it can quickly spread and provoke powerful emotions and heated discourse. This paper discusses the characteristics of Indonesian language impoliteness on Twitter using qualitative research methods. The data were collected from Twitter statuses of Indonesian users in 2018. The analysis showed that impoliteness in speech and language occurs because of the ideology and power of each speaker. The impolite speech in this research related to the impoliteness nuanced with contempt to ethnicity, religion, race, and to a social group. The impoliteness nuanced with insult to ethnicity was 20% of our observed samples, while impoliteness nuanced with religious contempt was 25.1%; impoliteness related to race was 18.3%; and impoliteness toward social groups was 36.6%. The impoliteness is also often caused by the stimulation of the occurring social and political causes at that time. Keywords: Impoliteness, contempt of ethnicity, religion, race, social groups.
PREDIKSI DEBIT ALIRAN MASUK KE TELAGA MENJER MENGGUNAKAN PERSAMAAN NERACA AIR DAN PEMODELAN HEC-HMS

The Menjer lake is the main source for Hydroelectric Power Plant of the PLTA Garung. Information about the water balance and the potential of existing water resources in the Menjer Catchment Area (DTA) is needed to obtain an efficient operating pattern, the sustainability of the Garung hydropower plant, and good management of the Menjer Lake. The purpose of this study was to estimate the inflow of three main rivers in the Menjer catchment area using HEC-HMS hydrological and water balance approach. Simulated results of the HEC-HMS model shows that the average of total the inflows of three main rivers to the Menjer lake in 2017, 2018 and 2019 during rainy season are 0.954 m3/s, 0.944 m3/s, and 1.017 m3/s, and during dry season are 0.820 m3/s, 0.783 m3/s, and 0.80 m3/s, respectively. While the prediction results of the discharge with the equation of the water balance shows that the average of total river inflows to the Menjer lake during rainy season is 2017 is 1.628 m3/s, in 2018 it is 1.579 m3/s, and in 2019 it is 3.296 m3/s and during dry season is 1.893 m3/s in 2017, 1.176 m3/s tahun 2018, and 1.893 m3/s in 2019. These results indicate that the results of discharge modeling with HEC-HMS are smaller than those predicted by the water balance equation. The study concluded that HEC-HMS could be used to predict daily inflows. However, further calibration and validation need to be carried out by recommending installing a river flow monitoring station at each river outlet.Keywords: water balance HEC-HMS, inflow prediction
Using logistic regression to analysis students' attitudes about e- learning in during COVID- 19 pandemic (case study for students of the Faculty of Science, University of Tabuk): استخدام الانحدار اللوجيستي لتحليل اتجاهات الطلاب عن التعليم الإلكتروني في ظل جائحة فيروس كورونا (دراسة حالة لطلاب كلية العلوم جامعه تبوك)

The study aimed to use logistic regression to analyze the factors affecting the satisfaction of the students of the University of Tabuk with the e- learning system during COVID- 19 from the perspective of the students themselves to reveal the challenges faced by the students and their satisfaction with the e- learning experience. The study included (321) students at the Faculty of Science, University of Tabuk. The electronic survey method prepared according to the Likert scale was used to collect information related to the study variables. The study adopted the descriptive analytical approach, a logistic regression model was used to determine the factors affecting students' satisfaction with e- learning.The results of the study showed that the level of student satisfaction with e- learning is good (72%) are satisfied with e- learning. Also, the study found that the course material prepared, speed of internet, assessment, and Workshops and explanations prepared by the Deanship of E- Learning to help students had a significant positive effect on student satisfaction. The study recommends the necessity of measuring student satisfaction on a continuous basis to improve and develop the educational process.
A NEEDS ANALYSIS ON STAKEHOLDERS AND ELT STUDENTS TO DEVELOP ENGLISH FOR TOURISM COURSE MATERIAL

This study investigates the needs of tourism stakeholders and students of the English Education Department to develop the English for Tourism (EFT) course material. The participants were ten hotel managers, five travel agents, and 86 second-semester students of the English Education Department. This descriptive quantitative study employed a questionnaire as the primary tool to gather the data adapted from Puspitasari (2018) and Ratmanida et al. (2020). The data then were analyzed using the formula of percentage and mean range table to determine the level of needs from the responses. The results indicated that the stakeholders and students agreed that speaking (100%) and writing (90%) were the most needed English skills to acquire. Then, in terms of the EFT topics, the participants responded to the topics that were relevant with their needs or fields. However, specifically, they seemed to have the same opinions and needs for the hotelier topics and some relevant expressions. In short, the results are expected to be beneficial for the EFT course designers to design suitable, directed, and valuable materials for students to help them be skillful and knowledgeable in the tourism industry.
Mathematical (online) meetings reimagined?

In our daily professional lives, we have become accustomed to -or wearied by -changes brought on by restrictions that started in the spring of 2020.Many of our mathematical research meetings have been transferred directly online, with varying degrees of success.Could we imagine other, better ways of doing things?In this note, I discuss an experimental initiative launched to investigate this question, and call on others to embrace the challenge.The enemy of art is the absence of limitations. Orson Welles A prefaceIt is clear that issues like the ones raised here are on the minds of many.Indeed, in an earlier edition of the "Young mathematicians' column" of this periodical, we saw two related pieces from the perspective of early-career researchers.This letter gives the viewpoint of mid-career researchers, ones with plenty of familiarity with the organisation of pre-COVID Mathematical events.It describes early experiences in the conception and setup of an "online research guild" devoted to bespoke, scientifically high-level, interactive workshops, specifically designed for these times, and perhaps beyond.Though it might require a bit of courage, the model could be of interest to other mathematical communities.
Simplifying Cyber Security Maturity Models through National Culture: A Fuzzy Logic Approach

Different assessment models exist to measure a country's cyber security maturity levels.These levels serve as a benchmark for indicating how well prepared a nation is against a cyber security attack and how resilient it would be in recovering from such an attack.However, results from these maturity assessments are either too general, overly complex, or resource intensive to apply and guide important national cyber security strategies and frameworks.To address this we propose a model to link national culture with a country's cyber security maturity through fuzzy logic mapping to ensure that a more uniform reflection of the cyber security maturity level within a country can be measured.In this paper, we present additional research towards optimising our model.The extended model incorporates input from two cyber security assessment models, and validates the refined output models on 11 countries to compare the maturity levels from the traditional assessment model with our optimised fuzzy model.Our results show that it is viable to reduce the resources required to conduct a national cyber security maturity assessment.
Student and Academic Staff Surveys of Knowledge Management Capabilities in Higher Education: Validity and Reliability Studies

Adopting a quantitative research design, this study aimed to develop Student Survey of Knowledge Management Capabilities in Higher Education (SSKMCHE) and Academic Staff Survey of Knowledge Management Capabilities in Higher Education (ASKMCHE) to measure the knowledge management capabilities in state universities from the perspectives of both students and academics. The participants were 512 undergraduate students and 300 academics working full-time in state universities in Istanbul during the academic years of 2017–2018 and 2018–2019. The explanatory factor analysis (EFA) was performed to determine the validity of the surveys, and the Pearson correlation analyses and matched-pair t-tests were performed to find out the reliability of the surveys, and Cronbach alpha coefficients were calculated for each sub-dimension to test their internal consistency. At the end of the study, 43-item 5-point Likert-type scale of SSKMCHE and 50-item 5-point Likert-type scale of ASKMCHE were developed, which measure 7 dimensions: technology, organizational structure, and organizational culture as the dimensions of knowledge management infrastructure capabilities, and knowledge acquisition, knowledge conversion, knowledge application, and knowledge protection as the dimensions of knowledge management process capabilities.
High quality random number generator from constrained devices using post processing methods applied to a high level network

Secure transmission of data in communications based on constrained devices is an understudied issue with severe consequences, as it may jeopardize the entirety of a network's security. Most cryptographic methods are based on random numbers, however, obtaining these proves challenging on devices with such low computational power. In this paper, we evaluate the use of postprocessing techniques to increase the quality of randomly generated numbers in 32-bit RISC-V processors, within the context of a blockchain network. Through these methods an increase of entropy of 80% was achieved.
Personality Type Demographics and their Relationship to Teaching and Learning

Assessment is the next most important activity that follows teaching-learning in the classroom.Assessment plans must be carefully strategized from a top-down perspective complemented by bottom-up realities.The assessment plan strategy must include elements of robustness which would make the results from implementation of the plan as insensitive as possible and hence more reliable to unavoidable variations.Examples of robustness assessment include assessment at the individual student level and teaching/learning based on the personality type demographics of students.This paper focuses on planning, implementing, and assessing the personality type demographics of undergraduate students in different majors.This must be accomplished in the context of logistics of time, access, and feedback to such studies.The paper also gives specific examples of personality type demographic assessment plan development, implementation, and outcomes from courses in four different programs in three different colleges.Teaching/Learning ideas that can better adapt to the personality type demographics are also addressed.
Improving Reading Comprehension of Simple Reading Text Using Directed Reading Thinking Activity (DRTA) Strategy for Deaf Students

The purpose of this study was to describe the steps in using the Directed Reading Thinking Activity (DRTA) strategy to improve reading comprehension skills of simple reading texts in class VII deaf students of SMPLB Karya Mulia Surabaya.This research is a Classroom Action Research (CAR) carried out in two cycles.Each cycle consists of 2 meetings.The subjects used were class VII SMPLB Karya Mulia Surabaya students, with ten students.While the object used is a simple reading text.The data sources of this research are students and teachers.Data collection techniques using tests, observations, interviews, and documentation.Test the validity of the data using triangulation techniques.And for data analysis used is qualitative and quantitative data analysis techniques.
HOTS Problem-Solving Ability and Its Relation to Spatial Ability

The ability to solve HOTS problems is an ability that must be possessed by every student, especially in learning mathematics.However, students' ability to solve HOTS problems is not optimal.This can be seen from the low achievement of Indonesia in the PISA and TIMMS tests.This study aims to determine how the ability of students to solve HOTS problems, especially in geometry material, which is seen from the spatial abilities of each student at SMPN 1 Madapangga.This research is qualitative research, with the research subjects being seventh-grade students of SMP Negeri 1 Madapangga.The selection of research subjects used purposive sampling.The research subjects were selected based on the results of the spatial ability test.The data collection method used in this study was a test.The data in this study were analyzed in 3 stages, namely data reduction, data presentation, and conclusions.The results of this study indicate that students who have low spatial abilities cannot analyze, evaluate, develop, and create.Students with moderate spatial ability can analyze but have not been able to evaluate and create.Students with high spatial ability can analyze and evaluate but have not been able to create.
RANCANGAN PENELITIAN MODEL HYBRID DETEKSI COVID-19 MENGGUNAKAN MARINE PREDATORS ALGORITHM (MPA) DAN INTERPOLASI LINIER

The spread of the COVID 19 outbreak that occurred at the end of 2019 started from the city of Wuhan in China, this outbreak continues to spread to all corners of the world, this outbreak has also reached Indonesia, in Indonesia this outbreak has also spread to all corners of the country, this problem is the focus the government's attention because until now the epidemic cannot be stopped. The problem that occurs is very complex because of the difficulty of controlling the spread that occurs so that more and more residents are confirmed positive for COVID 19 but do not show symptoms in the sufferer, this incident is now called People Without Symptoms (OTG). The spread of the virus through OTGs has played a major role in spreading COVID 19 to other residents. The government has carried out COVID 19 tests on residents, but it still cannot be carried out optimally, this problem is faced by the cost, speed, and accuracy of test data that cannot be obtained optimally. This study proposes to build a hybrid algorithm that can speed up the process of analyzing data on residents who are confirmed positive for COVID 19 through the development of Marine-Predators-Algorithm (MPA) and Linear Interpolation that can be implemented to speed up CT-Scan results of patients' lungs and speed up test results to provide confirmed information. positive for COVID-19 in patients.
Performance Analysis of Boosting Techniques for Classificationand Detection of Malicious Websites

Phishing is a method of social engineering technique to deceive web users to capture sensitive information like user name and password in websites without the knowledge of the end user.The end user provides information about their personal and financial thinking it's the authenticated service provider.URL meaning the "Uniform Resource Locator" that identifies an address to a file in the server.The URLs can be categorized as benign or malicious.Malicious URLs are created for the purpose of attacking to create loss and poses great threat to the victims.Machine Learning approaches offer a wide range of algorithms to detect malicious websites.It considers the URL as a set of features of Lexical, Host based and Content features to train a model to classify it as malicious or benign.Boosting is a collection of algorithms that combine the weaklearning classifiers to build strong Classifiers.In this paper boosting algorithms are exploited to the study of URL detection as malicious or benign.Boosting algorithms such as LGBM, XGBoost and Gradient Boosting are used for predicting phishing URL is presented.Feature selection to identify the important features is performed.The selected features are then classified by Random Forest Classifier to give an accuracy of 99%.
Application of Geographic Information Technology in the Construc-tion of Internet of things

with the continuous development of information technology, the emergence of 5G has also accelerated the emergence of the Internet of things, the current construction of the Internet of things has become a hot topic. And in the construction of the Internet of things, a very important technology is geographic information technology, which is also a good opportunity for the development of geographic information technology. Based on this, this paper first analyzes geographic information technology and its characteristics, then analyzes the origin and development of the Internet of things, and finally analyzes the application of geographic information technology in the construction of the Internet of things, so as to provide relevant people to exchange reference.