Reviewerly/exHarmony huggingface dataset:
Efektivitas Program Pojok Literasi Ku Sebagai Media Dalam Meningkatkan Literasi Masyarakat di Desa Bumi Sari

This study discusses the effectiveness of the Ku Literacy Corner Program in Bumi Sari Village, Beutong District, Nagan Raya Regency, the method used in this case is a qualitative research method that emphasizes the descriptive method, while the purpose of the Ku Literacy Corner Program is as a learning platform that can provide learning which is still unknown in the midst of the people of Bumi Sari Village, from the results obtained when my Literacy Corner Program was running, there was a development of insights that were obtained by the surrounding community and became a new science that was obtained, my literacy corner program has 5 corners, namely: writing corner , a reading corner, an introduction to the internet corner, a Microsoft Office corner and a computer operation corner. In connection with the implementation of this program, there have been many changes in mindset and in active literacy for the people in Bumi Sari Village, Beutong District, Nagan Raya Regency, progressing.
Holistic Tweet-Based Sentiment Analysis on the China-Taiwan Conflict

The following work dissects the popular opinion on the China-Taiwan conflict via a holistic sentiment and emotion analysis on data obtained from the Twitter API, aiming to go beyond a polar interpretation of information with the objective of expanding the current understanding of said subject through the acquisition of a structured numerical representation of the data in order to classify the opinions using a softmax function to evaluate the presence of emotions conveyed in the sample. 5809 tweets related to the recent international tensions were obtained, pursuing keywords like “Taiwan”, “China” and “war”. First, raw data was analysed by observing the most frequent hashtags and by performing Latent Dirichlet Allocation (LDA) to find possible topics. After that, the dataset was subjected to a sentiment analysis process done with the Twitter-RoBERTa-base model complementing the results with the text2emotion library.
A study of the indian taxation system on cryptocurrency

Cryptocurrencies are digital tokens that allow people to make payments directly to each other through an online system. Since it can be used to buy and sell items and has the ability to store value and increase in value, cryptocurrency is drawing the attention of a lot of investors. As to the nature of cryptocurrency, there are different sets of opinions as to whether it is a currency or a Commodity or Security. The Finance Act 2022 was the first law to recognize Virtual Digital Assets (VDAs) in India and introduced crypto taxes. Accordingly, the income generated from investment in cryptocurrency is subject to tax. The present paper studies the emerging cryptocurrency market in India and the provisions of prevailing income tax law in India related to the taxation of cryptocurrency.
STUDENTSâ€™ ABILITY IN COMPREHENDING MOVIE ENTITLED â€œMY BIG FAT GREEK WEDDINGâ€ OF ENGLISH EDUCATION STUDENTS OF BATANGHARI UNIVERSITY: A CROSS-CULTURAL UNDERSTANDING

The purpose of this research is to identify how far students of English Education program of Batanghari University can understand the differences of cultures that can be seen from the movie entitled â€œMy Big Fat Greek Weddingâ€. Their comprehension about the cross cultural understanding will be notified from their analysis towards the movie. The subject of this research is semester VI students of class A1 which consists of 23 students. Meanwhile the object of the research is studentsâ€™ analysis of cross cultural matters in a form of interview after they watch the movie. The method used in this research is mix method. Qualitative approach is used in analyzing the cross cultural matters in their analysis towards the movie and quantitative approach is used to count the forms of cross cultural matters that occured from the movie. The hypothesis of this research is that the students are able toÂ understand the difference of other cultures especially American, British, or Australian culture which is related to their major.
Comparison of machine learning algorithms for credit card fraud transaction prediction

Nowadays, credit card transaction is widely used in commercial activities, the number of fraud transaction is increasing. Especially when e-commerce and online shopping have arisen explosively and COVID-19 pandemic spread, the fraud transaction increasing surprisingly. Detecting the credit card fraud transaction is of great importance for both banks and depositors. To verify the effectiveness of machine learning algorithms for this task, several models are leveraged and examined in this work. These models include naive Gaussian bayes model, logistic regression model, random forest classifier, convolutional neural network (CNN) and support vector machine (SVM). Besides, the effectiveness of pre-processing techniques, including undersampling and oversampling, is also conducted on the training dataset for validating their effectiveness on predicting whether a transaction is a fraud or not and their joint effort with different models. In this work, these models are implemented with European dataset of credit card fraud and the best method is selected for this application.
Development Metaverse Learning Environment Base On Station Rotation Model To Promote Scientific Literacy And Self-Directed Learning On Topic Sequence Of Geo-logical Event For 10th Grade Students

This study investigated the effects of a Metaverse learning environment based on the Station Rotation Model on scientific literacy and self-directed learning. The participants were divided into experimental and control groups, with the experimental group receiving the intervention while the control group received traditional instruction. The results showed that the scientific literacy scores of the experimental group significantly improved after the study, with a higher average score than the control group. Similarly, the experimental group showed significantly higher scores in self-directed learning compared to the control group after the intervention. These findings suggest that a Metaverse learning environment based on the Station Rotation Model can enhance students' scientific literacy and self-directed learning.
Students' attitudes about the distance education system in light of the Corona pandemic

This study aimed to reveal the attitudes and perceptions of Palestinian students of the distance education system in the period of the Corona pandemic. The study adopted the descriptive analytical approach, and the study population consisted of school students in the three educational stages (primary, middle, and secondary) in the North region, and the study sample consisted of 1075 male and female students, who were reached by the random cluster method. The questionnaire was used as a tool for data collection after verifying its validity and reliability. The study reached the following results: students' attitudes towards the distance education system for the preparatory and secondary educational stages came to a moderate degree. As for the primary stage, it came with a high score. It was also found that there are statistically significant differences in students' attitudes to the distance education system, due to the educational stage. In light of the results of the study, it is recommended: Giving students and teachers training courses in the field of e-learning and distance education, with the aim of educating them and guiding them on this new style of education and focusing on the role of each in the teaching and learning process. As well as developing new plans and programs that work to enhance the psychological immunity of students at all educational levels. هدفت هذه الدراسة الى الكشف عن اتجاهات طلاب الداخل الفلسطيني وتصوراتهم عن منظومة التعليم عن بعد في فترة جائحة كورونا، واعتمدت الدراسة المنهج الوصفي التحليلي، وتكوّن مجتمع الدراسة من جميع طلبة المدارس في المراحل التعليمية الثلاث (ابتدائيّة، إعدادية، وثانوية) في لواء الشمال، وتألفت عينة الدراسة من 1075 طالبًا وطالبة، تمّ الوصول إليها بالطريقة العشوائية البسيطة. واستخدمت الاستبانة كأداة لجمع البيانات بعد التحقق من صدقها وثباتها. توصلت الدراسة الى النتائج التالية: أنّ اتجاهات الطلبة نحو منظومة التعليم عن بعد للمرحلتين التعليميتين الإعدادية والثانوية جاءت بدرجة متوسطة. أما في المرحلة الابتدائية فقد جاءت بدرجة عالية. كما تبيّن وجود فروق ذات دلالة إحصائية في اتجاهات الطلبة لمنظومة التعليم عن بعد تعزى الى متغير الدراسة وهو المرحلة التعليمية. وفي ضوء نتائج الدراسة، فإنّه يُوصى: إعطاء الطلبة والمعلمين دوارات تدريبية في مجال التعليم الإلكتروني والتعليم عن بعد، هدفها توعيتهم وإرشادهم على هذا النمط الجديد من التعليم، والتركيز على دور كلّ منهما في عملية التعليم والتعلّم. كذلك وضع خطط وبرامج جديدة تعمل على تعزيز الحصانة النفسيّة عند الطالب في جميع المراحل التعليميّة.
Project-Based Learning Assisted with Mind Mapping on Description Essay Writing Skills : A Study in Elementary School

Writing essays with a descriptive structure is one of the basic competencies. A descriptive essay is a true depiction of objects or events so that the reader feels what the writer feels in the story. However, the level of students' ability to write descriptive essays is still low given the lack of understanding in writing descriptions so it is difficult to find ideas to translate into written form, and the choice of vocabulary is not quite right in constructing sentences. Therefore, this study aims to determine whether there is an influence of the project-based learning model assisted by mind mapping on students' descriptive essay writing skills. The method of this research is Quasi Experiment with a pretest-posttest control group design. Quasi experiment was conducted to determine the effect of a treatment on the subject under study. The research subjects were 50 students of class fourth-grade at Dukuh Menanggal I/424 Public Elementary School, Surabaya. Data analysis techniques using normality test, homogeneity test, and hypothesis testing. The results showed that there was an influence of the Mind Mapping-assisted Project Based Learning learning model on literacy skills in writing essay descriptions of grade IV students. In addition, with the help of Mind Mapping, can students learn motivation in writing descriptive essays because it helps focus students' minds in composing sentences into paragraphs.
EQUITY AND INCLUSION IN REMOTE EDUCATION: UNEARTHING DISPARITIES, INTERROGATING STRATEGIES

This systematic review undertakes a comprehensive examination of the issue of equity and inclusion within the domain of remote education, a domain accentuated by the exigencies of the global COVID-19 pandemic. Through a meticulous analysis of extant scholarly literature, the present study unveils pronounced disparities in access to remote educational resources, delineating determinants that encompass socioeconomic strata and degrees of digital literacy. An integral facet of this exploration involves an in-depth inquiry into the manifold ramifications of these inequities upon historically marginalized demographics, with particular regard to the intricate interplay of variables such as ethnicity, gender, and disability. The review proceeds to elucidate efficacious interventions, strategies, and policy paradigms that have been promulgated to ameliorate these prevailing disparities. By elucidating instances of pedagogical innovation and institutional reform, this study proffers an invaluable compendium of insights tailored for the enrichment of educators and policymakers alike. In proffering a nuanced investigation at the nexus of technology-mediated education and the imperatives of social equity, this systematic review emerges as a critical instrument that augments the ongoing discourse encompassing the evolution of remote learning modalities, underpinned by an imperative commitment to principles of inclusivity and justice.
The Problems Of Student’s Interests In Calculation At Grade IV at SDN 15 Lolong

This study aims to determine the interest in counting of grade IV students in learning at SDN 15 Lolong. This type of research uses qualitative methods. Data collected by observation, interview, and documentation techniques. Teacher's research subject class IV and 2 students in class IV. The results of the study show that students' lack of interest in learning and the lack of teachers using media in learning and the limitations of the media for teaching materials and the lack of parental concern for children's learning process at home, thus causing the weak integrity of students
The Correlation of Forensic Science Role : Forensic Photography, Forensic Toxicology and Digital Forensics Towards the Evidence in the Criminal Justice System

The Role of Forensic Photography, Forensic Chemistry Toxicology and Digital Forensic on Pembuktian is a scientific article in the literature review within the scope of the field of Law and Criminology. The purpose of this article is to build a hypothesis of the influence between variables that will be used in further research. Research objects in online libraries, Google Scholar, Mendeley and other academic online media. The research method with the research library comes from e-books and open access e-journals. The results of this article: 1) Fotografi Forensik has an effect on Pembuktian; 2) Toksikologi Forensik has an effect on Pembuktian; and 3) Forensik Digital has an effect toward the Evidence.
GIS-based information support technology for drinking water quality control

Addresses the issues of creating of a geoinformation system for assessing the quality of drinking water in a centralised domestic drinking water supply. The created system allows to systemise heterogeneous data, analyse it, and quickly represent the current environmental situation on the map. The algorithm is based on the methodology for assessing the quality improvement of drinking water, developed by Rospotrebnadzor in 2019. The algorithm allows for an integral assessment of a group of indicators, including various classes of substances (chemical, bacteriological, parasitic). The analysis is made for each observation point for a time period equal to a year. The assessment is made for each class of substances, resulting in marking water samples as high-quality or non-high-quality. Algorithm was implemented in Python using NumPy library. The resulting script represents a tool that is part of the ArcToolbox suite and runs in the ArcGIS for Desktop environment. The algorithm was tested on the existing water quality monitoring data in the Leningrad region. Thematic maps were designed based on the results of the analysis in GIS (geoinformation system) ArcGIS for Desktop. The maps clearly represent the existing ecological situation.
Erecting time telescope for photonic quantum networks

A time lens allows one to stretch or compress optical waveforms in time, similar to the conventional lens in space. However, a single-time-lens imaging system always imparts a residual temporal chirp on the image, which may be detrimental for quantum networks, where the temporal image interacts with other fields. We show that a two-time-lens imaging system satisfying the telescopic condition, a time telescope, is necessary and sufficient for creating a chirpless image. We develop a general theory of a time telescope, find the conditions for loss minimization, and show how an erecting time telescope creating a real image of a temporal object can be constructed. We consider several applications of such a telescope to making indistinguishable the photons generated by spontaneous parametric downconversion or single emitters such as quantum dots.
The Effect of Using Puzzle Media on Activity and Learning Outcomes of Class III MIN Students in Indragiri Hulu Regency

This study began with observations made in class III MIN 1 Indragiri Hulu, the teachers only use conventional media in SKI Learning, student learning activities that tend to be passive so that it impacts on student learning outcomes that have not yet reached the minimum completeness citeria. The use of Puzzle media in learning can improve students’ learning activities and learning outcomes. This study aims to explain the effect of the use of Puzzle media on the activities and learning outcomes of SKI class III MIN in Indragiri Hulu Regency. The type of research used is Quasi Experiment. The population in this study were all students of class III MIN in Indragiri Hulu Regency. The research sample class III A as an experimental class and class III B as a control class in MIN 1 Indragiri Hulu. Sampling is done randomly (randomly) using a lottery. Research data were collected through activity observation sheets and student learning outcomes using t-test. Based on the research findings and the discussion concluded as follows. First, there is a significant difference in activities for students who are taught using the media puzzle with learning activities of students who are taught using picture media in class III MIN SKI learning in Indragiri hulu Regency. Based on the calculation, the t value is 1.894 with a significant level of 5% is 1.682, the price of t is greater than t table so Ha is accepted. Secondly, there are significant differences in learning outcomes for students tagught using image media in the class III MIN SKI learning in Indragiri Hulu regency. Based on the calculation, the t value is 2.202 with a significant level of 5% is 1.682, the price of t is greater than t table so Ha is accepted
Employees’ Awareness of Information Security Risks in An Enterprise: A Case Study of Telecommunications Company in Poland

nformation security is a very important aspect of the functioning of every company, especially in the era of unstable political and economic situation in Europe and in the world. Increasingly frequent cyberattacks and theft of information from the company raises the need for research in this area.
Analisis Kesulitan Belajar Berhitung pada Peserta Didik di Kelas Awal SD Negeri 134/I Merbau

This research tries to show and examine the challenges that children face when learning to count. Classroom observations, tests, and interviews with mathematics students and teachers were part of the research procedures. The findings of the data analysis revealed various problems faced by students, including challenges in understanding and applying basic mathematical principles as well as difficulties in completing direct mathematics tasks. The level of learning challenge is also influenced by various elements including the curriculum, teaching techniques, and the amount of support from the school and family. The consequences of these results include the need for modifications in the way mathematics is taught in the early grades, the creation of more efficient learning methodologies, and joint efforts between schools and parents to help children overcome the challenges of learning to count. This study deepens our awareness of the difficulties students face in laying a strong numeracy foundation and offers insightful suggestions for improving mathematics teaching at the elementary level.
Unemployment and Cybercrime in South-East and South-South Geo-Political Zones of Nigeria: An Analytical Study

This study examined the dynamics of the emerging problem of unemployment and cybercrime in South-East and South-South Geo-Political Zones in Nigeria. The study is an explorative study that is based on secondary data; the data were discussed with thematic content analysis. The paper analytically examined;The Relationship between Unemployment and Cybercrime in South- Eastern and South-South Geo-Political Zones in Nigeria; Reported cases of cybercrime in South- East and South-South Geo-Political Zones in Nigeria and Consequences of Cybercrime in South- East and South-South Geo-Political Zones in Nigeria. This paper adopted both Robert K. Merton’s Strain Theory (1938) and Donald McClelland Theory of Needs (1961). The discussion showed that cybercrime is very high in South-East and South-South Geo-Political Zones especially in Imo state, Rivers State and Edo State. The discussion also showed that unemployment leads most youths to engage in cybercrime. Therefore, the article recommended for creation of jobs, cyber security amongst others as possible solutions to reducing cybercrime in Nigeria.
Knowledge Graphs for News Recommendation in a Local News Organization

In this paper, we investigate the efficacy of using knowledge graphs for news recommendation. Small institutions usually do not have the required amount of data needed to build robust recommender systems. Knowledge graphs allow us to recommend news, based on their content, with small amount of data. The graph can be created using related data and calibrated to use domain-specific data. Despite gaining popularity recently, the problem of how to construct knowledge graphs has not been adequately addressed. In this work, we consider the effects of using sentences extracted from the titles and the bodies of news in different languages. Our test case is focused on news data provided by a local news organization in Japan. We develop an effective knowledge graph construction method for the available data that is used by a recommender systems. We evaluate the effectiveness of this system by predicting the clicks of users.
ETHERSTWEB – An Ethereum-Based Distributed Application for User Information Trustworthiness Verification

Fake news and misinformation are prevalent on the Internet in this day and age. The popularity of social media such as Facebook, Instagram, TikTok has encouraged the people to share news or information over Internet without knowing whether it is a truth or fake information. The outbreak of COVID-19 affected the social activities of all levels of society as people were asked to stay at home to self-quarantine. It indirectly encourages the growth of the social activities online. Even though COVID- 19 is no longer a big threat to the world, people already used to rely on the Internet for the daily activities. Therefore, the trustworthy of the information on the Internet is getting crucial. ETHERST is a blockchain- based PKI that implemented rewarding and punishment mechanism using Ethereum ECR-20 token named PKIToken to improve the trustworthiness of information published by the blockchain nodes. In this paper, we implement an Ethereum-based distributed application (dapp) that allowed the community members to act on trusting and untrusting on information provided by any of the members. With the ETHERST framework as the backend, the ETHERSTWEB is equipped with the rewarding and punishment mechanism to keep the community from misusing the trusting and untrusting action to maintain the trustworthiness of information of a member. With the PKIToken amount level implemented in the backend, it provides an index to the trustworthiness of a member in the community. It has the advantages over the existing rating or review systems that are commonly implemented in many traditional web applications.