Reviewerly/exHarmony huggingface dataset:
An Analysis of Students’ Barriers in Implementing English Presentations and Online Discussions in ELT Classroom

The ability to communicate effectively in English is crucial for global interaction and success in the workforce. It facilitates clear understanding between speakers and listeners, ensuring the intent and purpose of an utterance are well received. In the context of English language learning, students need to be able to convey messages effectively in presentations and discussions. This research aims to identify the obstacles faced by students when making online presentations and discussions. The research employed a qualitative method with a descriptive approach. The study involved 26 English literature students who were conducting online presentations and discussions. Data was collected through observation and interviews to identify the difficulties faced by students. The data was analyzed using data reduction, data display, and data conclusion. The findings showed that students faced internal and external obstacles when conducting online presentations and discussions. Internal factors included lack of self-confidence, shyness, insufficient understanding of English vocabulary, fluency, and unreadiness to convey messages. External factors were related to technology mastery, an unsupportive environment, and lack of English-speaking practice with peers. Despite these obstacles, students were able to improve their speaking skills through habituation activities.
Decentralized Voting System using Blockchain

Abstract: India, known for its massive population of over 1 billion, holds the distinction of being the world's largest democracy. The voting process serves as a crucial link between the government and the electorate. However, recent years have witnessed a renewed focus on the technology used in the electoral process due to the numerous security loopholes in the existing system. Ensuring the security and transparency of the electoral process is crucial, and developing an electronic voting system that can be proven to be secure poses several challenges. Electronic voting systems offer several benefits, such as increased convenience and reduced costs. Nevertheless, there are still issues that need to be addressed, such as the inability of electronic voting machines to identify authentic users and the possibility of obtaining machines from unreliable sources. To address these concerns, the proposed solution involves developing a secure and efficient voting machine that uses blockchain technology to enhance security and transparency between users.
Online Catering System for College Canteen using Firebase

Abstract: Although they have long been a well-liked option for quick and practical meals, cafeterias are not without problems. Customer dissatisfaction can be caused by long lines, sluggish payments, a lack of food options, and lengthy preparation periods, which can also have an impact on the cafeteria business's overall effectiveness and profitability. In order to address these issues, this survey paper outlines the creation of a cafeteria application utilising Flutter and Firebase as a backend and a recommendation system. This study investigates how Flutter and Firebase can be used to develop a scalable, reliable, and effective application that offers users a smooth experience. The article also looks at how integrating a recommendation system might improve customer happiness and loyalty by enhancing the customer experience.
Can Domino Card Be Effective in Elementary School Instruction?

Background:The problem in this study is whether there is an effect of using domino card media on student learning outcomes. The purpose of this study was to obtain information about student learning outcomes by using domino cards as media. Method:The research method used in this study was a quasi-experimental design with a nonequivalent control group research design. This study used two classes, namely VA and VB classes. From the research results, it was found that in the experimental class the average value was 84.77 while in the control class the average value was 72.15. The results of the independent sample t-test obtained a sig. 2 tailed is 0.000 &lt;0.05, it is known that there is a significant difference between the average learning outcomes in groups A and B. Results: Based on the results of the analysis of the data obtained, it was concluded that learning by using domino card learning media can have an influence on student learning outcomes in Theme 6 Sub-theme 2 Learning 1 and 2 which can be seen from the difference in average learning outcomes in the experimental class and the control class.
Analisis Bibliometrik dalam Penelitian Bidang Pendidikan: Teori dan Implementasi

Bibliometrics is an analysis method that uses Mathematical and statistical tools to measure the interrelationships and impact of publications in a particular research area. Bibliometric analysis is a popular method used to analyze large amounts of scientific data and this analysis is rigorous in nature with the aim of exploring that data. The use of this analysis in research allows researchers to uncover the evolutionary nuances of a particular field, while highlighting emerging areas in that field, including the field of education. In this paper, the researcher will use a type of literature research or literature review with the descriptive research method, which is to describe regularly and in detail the data obtained related to the bibliometric method, so that finally the readers get a clear understanding of the descriptions and explanations presented. The focus of this study is on the fundamental question in research methodology, which is what is bibliometric analysis and how is it used in education research? What are the key metrics and indicators used in bibliometric analysis for education research? What are the challenges and limitations associated with using bibliometric analysis in education research? And the final question is what are the best practices for conducting bibliometric analysis in education research?
Penerapan Metode Bermain Peran untuk Meningkatkan Kemampuan Berbicara

This study aims to find out the application of the role-playing method for speaking skills in children aged 5-6 years at PAUD BKB HI Kutilang, Petir District, Serang Regency, Banten. The type of research used in this research is Classroom Action Research (CAR). The subjects in the study were children aged 5-6 years at PAUD Kutilang, totaling 12 children. Data collection was taken from observation sheets, interviews, and documentation. This research method has been implemented in two cycles of activities. Based on the results of the research and discussion that has been carried out, it is concluded that the role playing method can improve the speaking ability of children aged 5-6 years in PAUD BKB HI Kutilang, experiencing a very significant increase from the beginning of the pre-cycle with low results and in the second cycle which experienced the increase from the first cycle which increased very significantly. The increase in speaking ability can be seen from the percentage of data obtained in pre-action, Cycle I and Cycle II. At the pre-action stage, most of the children were included in the criteria for not yet developed, which was 43.75%, in the first cycle the children's speaking ability increased in the criteria for starting to develop with the total percentage score of the first cycle of 56.95%. In the second cycle of action increased to 70.83%. Learning is said to be successful because children's writing skills have increased by more than 70% from the initial conditions before the action and are in accordance with predetermined success indicators.
The influence of computer auditing in auditing firms in the Accra Metropolis, Ghana

Ghanaians in the accounting profession began using computers to process data and information in early 1980's.Little attention was paid to the use of computers in auditing due to its limited use.After 1990, computerized auditing became widespread in Ghana due to the stimulation computers brought with its introduction.Very few auditing firms have adopted the system of Computer auditing.Majority of auditing firms using the computer to audit are met with numerous risks looking at their level of information communication technology expertise, experience and the sophistication of the computers.The case for the Equity funding corporation occurrence in the USA in 1973 supports this claim.The risk of the auditing computers being attacked by cyber criminals, systems analysts manipulating the computer may render the practice of auditing around the computer useless.This may eventually lead to accounting malpractice.As a result the introduction of computerized auditing evolved.According to Millichamp (1993) the aim of an audit is to empower the auditor to express his opinion on the financial statements of an enterprise, if the accounts show a true and fair view or not.When doing computer auditing or not, the basis of the auditor forming an opinion on the truth and fairness of the financial statements remains the same Okine, (1996).The aim purpose of this research is to examine the introduction of computer auditing and explore the impact of computer auditing on the auditing staff and the auditing firm in general.The research employed questionnaires and direct interviews for this study.Form the findings of this study, it can be implied that, firms, which audited through the computer, did so in order to establish control programmes built into the computer.All firms provided adequate education to the employees on the need to adopt computer auditing.The employees responded favorably to the introduction of computer auditing.
The Analysis of Errors on Translating Informative Texts by Google Translate

This research aims to describe and classify the errors that was made by students in translating informative text in English into “Bahasa Indonesia” with Google translate (GT) application. This research applies errors analysis method with content analysis approach. The procedure to do the research are: data collection, identification of errors, classification of errors, and statement of errors frequency. The result shows that the errors mostly found in lexis level such as omission, adding, and untranslated both in content and function. While in the grammar level, there were some errors found like the word class changing, tenses, and agreement. In semantic level, there were errors on confusion of senses, wrong choice, and idioms. Lastly, in discourse level there were errors on style, variety, and should not be translated. To conclude, the lexical errors that found in the result of translating informative text by Google is for about 98 %. The other errors also found in grammar for about 0,007%, semantic for about 0.008% and discourse for about 0.005%. It means that Google translate made many errors in translating informative text, but it can be as an alternative choice to get the rapid translation result from English text into Bahasa Indonesia.
Pengaruh Metode Bercerita terhadap Perkembangan Berbicara Anak Usia 5-6 Tahun

This research is motivated by the dominant use of conventional methods in learning. This results in children being unable to speak fluently with complex sentences and divorce events coherently. This study aims to determine the effect of storytelling methods on the development of speaking children aged 5-6 years. This type of research is an experimental nonequivalent group pretest-postest designed. The population in this study were all class B students at the State II Kindergarten in Padang City. The sampling technique used purposive sampling technique, so that class B1 was obtained as the experimental group and B3 class as the control group. Data collection techniques in this study used observation, interviews, and documentation. this study uses the formula t-test which is preceded by an analysis prerequisite test using the normality test and homogeneity test. Based on data analysis, the average test results of the experimental class were 85.88 and the control average was 76.18. This research was proven from the results of the t-test with a significant level of 0.04 &lt;0.05, the H1 hypothesis was accepted. The results showed that there was a significant influence on the use of the Storytelling Method on the Development of Speaking Children aged 5-6 Years at TK Negeri II Padang.
Image super-resolution and noise-resilient super-resolution using end-to-end deep learning

The advancement in profound learning estimations for different PC vision issues convinces our report.For picture super-objectives, we propose a novel start to finish profound learning-based system.This design at the same time decides the convolutional highlights of low-goal (LR) and high-goal (HR) picture fixes, just as the non-direct force that maps these LR picture fix convolutional highlights to their relating HR picture fix convolutional highlights.The proposed profound learning-based picture super-objectives design is named coupled profound convolutional auto-encoder (CDCA) in this paper, and it produces cutting edge results.Super-objectives of an uproarious/curved LR picture results in loud/bended HR pictures, as the super-objectives strategy gives rise to spatial relationship in the commotion, and it can't be de-noised viably.Until super-objectives, most uproar flexible picture superobjectives methods do a de-noising gauge.Be that as it may, the de-noising technique brings about the shortfall of some high-repeat information (edges and surface nuances), and the subsequent picture's super-objectives bring about HR pictures without edges and surface information.We're likewise proposing a pristine start to finish profound learning-based design for acquiring upheaval high picture super-objectives.
Breast cancer diagnosis and survival prediction using ML algorithms

Breast cancer is accounted for to be the most well-known malignancy type among ladies worldwide and it is the second most elevated lady's casualty rate among all malignant growth types.Precisely anticipating the endurance pace of bosom disease patients is a significant issue for malignancy scientists.Machine Learning (ML) has drawn in much consideration with the expectation that it could give exact outcomes, yet its displaying techniques and forecast execution stay dubious.This paper centres on the use of AI calculations for anticipating Haberman's Breast Cancer Survival analysis.Various AI approaches specifically Decision tree, Multilayer Perceptron (MLP), Support Vector Machine (SVM) and K Nearest Neighbour (KNN) strategies are considered for the conclusion of Breast Cancer Survival anomaly.The presentation of arrangement of strange and typical Breast Cancer Survival patients is assessed as far as various variables including preparing and testing exactness, accuracy and review.The point of this deliberate survey is to recognize and basically assess current examinations with respect to the use of ML in foreseeing the 5-year endurance pace of bosom malignant growth.Test results on Haberman's Breast Cancer Survival dataset show the predominance of MLP proposed technique by coming to 96.7% as far as precision.
THE STUDENTS' ATTITUDES TOWARDS READING COMPREHENSION IN JUNIOR HIGH SCHOOL

The purpose of this study was to determine and find data about the attitudes experienced or felt by students or attitudes that often appear in class in learning English in class. To obtain the data, researchers used a research tool, namely Observation Checklist. This type of research was qualitative using descriptive methods. The subject in this study was a class VIII student at SMP Negeri 2 Bangkala Barat while the object used was 20 students. The results of this study that have been obtained are students' attitudes in English in class, feelings of fear and shame of students including fear of communication or speaking or reading in front of the class. Based on the three aspects of the attitude discussed in this study, researchers found that in the aspect of behavior there were 30% or as many as 6 students who had that attitude, whereas in aspects of cognitive attitudes there were 20% or as many students who had this attitude and aspects Emotional attitude is 90% or as many as 18 students who have that attitude. In addition in this study, researchers used coding techniques to explain the results that had been obtained during the study
ANALYSIS OF STUDENTS' ANXIETY IN SPEAKING PERFORMANCE IN MUHAMMADIYAH UNIVERSITY OF MAKASSAR

This study aims to determine the factors that cause students' anxiety in speaking performances and to determine the level of student anxiety in speaking performances in 3rd semester students, especially in speaking courses for the intermediate level at Muhammadiyah University of Makkassar.This research is a descriptive qualitative with a case study conducted on 8 students in semester 3. It consists of interviews and checklist observations. Each interview was used to find out the factors that cause students' anxiety in speaking performances. While, the observation checklist was carried out to determine the level of students‟ anxiety in speaking performance.The results of the study indicate that there are 2 factors that cause student anxiety, namely internal factors and external factors. Internal factors and external factors are very influential on students' anxiety on speaking performance. This can be seen from the results of data analysis at the student level in speaking performance. Therefore, it can be concluded that the factors that cause students‟ anxiety in speaking performance were internal and external factors. While at the level of students‟ anxiety there are three types, namely: low level of anxiety, medium level of anxiety and high level of anxiety.
Towards a new relevance for research libraries

The invention of printing in 1455 by Johann Gutenberg and the invention of the World Wide Web in 1991 by Tim Berners-Lee have often been compared when it comes to making knowledge accessible. Both events marked a breakthrough with far-reaching social consequences. The printing press led to the disappearance of monastic libraries and their scriptoriums as sources of knowledge, to make way for university libraries and publishers. The Web is again a revolution in the distribution of knowledge, embraced by the academic community and culminating in the Open Science movement. This editorial is an exploration into the challenges that this development poses for the roles of publishers and libraries.
Cryptographic Interweaving of Messages

During the past several decades, the information and communication technology sector has advanced significantly, enabling extensive information interchange over the internet, including message sharing and electronic transactions. These days, the main issue is how to transmit information securely. From ancient times, there has been interest in the field of cryptography research. A masterwork of cryptography is Muni Kumudendu's original work, Siribhoovalaya. His study served as the basis for the method suggested in this publication. Several messages can be sent using different keys utilising a single matrix. Encryption uses a variety of matrix traversal techniques, making it challenging for cryptanalysis to map the plaintext and ciphertext.
Research on the analytics of traffic pumping in telecommunications via data science using rehabilitated frog leaping algorithm

One kind of telecom crime known as "traffic pumping" occurs when local phone companies artificially overstate the volume of calls flowing into their systems so that they may charge the calling party a greater access fee than their own. Lacking labels for training set makes it difficult to determine whether congestion pumps has occurred. In this study, we suggested a decision-support system based on cluster analysis and decision trees for identifying fraudulent cases. In this study, we use the IBM Telco and Cell2cell datasets. The gathered information can be preprocessed using normalization. When we have collected enough data, we use the rehabilitation frog leaping algorithm (RFLA) to divide up the possible incidents of fraud into distinct groups. Next, we used the cluster participation labels to build a decision tree that led us to the criteria that must be met in order to pursue legal action against the circumstances that raised red flags. Professionals in the field of telecommunications (TC) verify these guidelines in an effort to find a legal remedy against accused offenders. The results are demonstrated and proved the efficiency of the proposed system by comparing it with the conventional techniques.
Finding Missing Person Based on Face Recognition Using AI in Video Surveillance System

Abstract: AI-based face recognition for missing person searches is a promising strategy that has the potential to significantly speed up and improve accuracy. The system makes use of artificial intelligence algorithms to match surveillance camera realtime video footage with facial images of people who have gone missing. Face recognition technology in video surveillance systems is used in this project to come up with a strategy for locating people who have gone missing. The system involves gathering information about the missing person, creating a database of facial images, and matching those images to real-time video footage with the help of artificial intelligence algorithms. The goal of the field of computer science known as artificial intelligence (AI) is to create intelligent machines that can carry out tasks that typically call for human intelligence. This includes tasks like translating languages, visual perception, speech recognition, and decision-making. Machine learning algorithms are used by AI systems to learn from data and allow them to improve their performance over time. A powerful method for training artificial neural networks with many layers, deep learning, a subset of machine learning, has emerged, allowing. The system can be used to quickly identify and locate missing people in public places like airports and train stations. The speed and accuracy of missing person searches could be significantly enhanced by the proposed system, increasing the likelihood of successful reunions. Finding missing people in view of face acknowledgment utilizing Convolutional Brain Organization (CNN) calculation is a well-known approach that has shown promising outcomes. CNN is a deep learning algorithm that works well for face recognition because it is widely used for image recognition and classification.