Reviewerly/exHarmony huggingface dataset:
PENGEMBANGAN SUMBER BELAJAR BERBASIS WEB PADA MATA PELAJARAN PAI DI SMA NEGERI 1 TENJOLAYA BOGOR

This research is based on the development of technology and information that has developed greatly towards the world of education. Utilization of the web as a learning medium in accordance with the learning styles of students who are heading towards the digital era, web-based learning is a learning activity that utilizes website media that can be accessed through the internet network. internet network access provided by the school then the web-based learning media can be used by the teacher as one of the learning media where the teacher still uses learning in every learning. This research focuses on the problem of How to Develop WEB-Based Learning Media in Islamic Religious Education Subjects at SMAN 1 Tenjolaya Bogor.This research studies: 1) Producing web-based learning media on Islamic Religious Education subjects; 2) Describe the results of student responses to the use of web-based learning media in Islamic Religious Education subjects&#x0D; Related to this research is research and development (Research &amp; Development) or R&amp;D related to products, instructional media development, using ADDIE models which include Analysis, Design, Development, Implementation, and Evaluation. Research data obtained through observation, questionnaire, and documentation. Furthermore, data analysis using the results score from the validation of media experts, material experts and student responses to web-based learning media.&#x0D; The results of the research show: 1) the development by the researcher carries out student character analysis, media analysis, and data analysis of media and material experts, then designs the media with a web site application that contains a blog, media development on materials, desired products, validation, tests try to do 28 students of class X, implement the developed media then given to the teacher to be used for students then the researcher gives a questionnaire to students about perceptions of the developed media, then a further evaluation of the media based on the assessment of students and the media developed. 2) Inviting students about Learning Media by providing a questionnaire of 28 students using web-based learning media that are close to God, the media developed "feasible" is used as a learning medium in class X SMA1 Tenjolaya Bogor
Performance Analysis and Comparison of Machine Learning Algorithms for Breast Cancer Dataset

Breast cancer is one of the most commonly found disease in women. In this research Wisconsin breast cancer data is considered. Data preprocessing and feature selection is done on this dataset. Later machine learning algorithms were applied on this dataset for classification of the disease. In machine learning, Classification is one of the most important research area. Classification allocates the given input to a known category. In this paper different machine algorithms like Logistic regression (LR), Decision tree (DT), Support vector machine (SVM), K nearest neighbors (KNN) were implemented on this dataset. The models were trained and tested with k-fold cross validation data. Accuracy and run time execution of each classifier are implemented in python. From the results it can be observed that Decision Tree is giving an accuracy of 90.7%.
Simulation Stock Investment System Based on Vue and Python

Economic Management and Big Data Application, pp. 892-900 (2024) No AccessSimulation Stock Investment System Based on Vue and PythonJiayi CuiJiayi CuiComputer Science School, University of New South Wales,2052 NSW, Australiahttps://doi.org/10.1142/9789811270277_0079Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: Stocks have become a common way to manage money and invest. However, it is too risky for initial users to invest directly. In the era of artificial intelligence, computer technology can be combined with many fields. This paper summarizes and designs a stock investment simulation system which combines the front and back end. The front end uses the VUE framework, and the back end builds a database. The back end uses Python to write the server to help novices quickly get familiar with the form of stock investment methods. This system also adds a risk assessment method to evaluate the risk coefficient of the stock, so that beginners can better adapt to real stock investment. Keywords: Stock investment simulatorArtificial intelligenceRisk predictionEuclidean DistanceVuepython FiguresReferencesRelatedDetails Recommended Economic Management and Big Data ApplicationMetrics History KeywordsStock investment simulatorArtificial intelligenceRisk predictionEuclidean DistanceVuepythonPDF download
Pemanfaatan Media YouTube dan Blog Pembelajaran Materi Statistika dan Hubungannya dengan Kemampuan Pemecahan Masalah Matematis dan Prestasi Belajar

This research aims to examine the use of learning media that is good, effective and appropriate to the needs and characteristics of students through YouTube media and Learning Blogs and its relationship with mathematical problemsolving abilities and learning achievement. The method used was quantitative quasi-experiment with correlation tests on mathematical problem solving abilities and learning achievement for classes VIII C and VIII D at SMP Tarakanita 2 Jakarta with 58 respondents. The Cronbach's Alpha test on the YouTube media test instruments (0.83), Blog (0.82), Problem Solving (Pretest 0.92 and Posttest 0.86), and Achievement (0.90) shows high validity and reliability. Based on non-parametric hypothesis testing using the Spearman Test method, it is known that there is a correlation between the use of YouTube media and Problem Solving (R-count 0.37), YouTube and Achievement (R-count 0.41), Blogs and Problem Solving (R-count 0. .42), and Blog with Achievement (R-count .39). The non-parametric Mann Whitney test in the control class and experimental class regarding achievement was stated to be identical with the same mean and variance so that there was no difference in the increase in NGain in the two classes.
Automated Scoring of Translations with BERT Models: Chinese and English Language Case Study

With the wide application of artificial intelligence represented by deep learning in natural language-processing tasks, the automated scoring of translations has also advanced and improved. This study aims to determine if the BERT-assist system can reliably assess translation quality and identify high-quality translations for potential recognition. It takes the Han Suyin International Translation Contest as a case study, which is a large-scale and influential translation contest in China, with a history of over 30 years. The experimental results show that the BERT-assist system is a reliable second rater for massive translations in terms of translation quality, as it can effectively sift out high-quality translations with a reliability of r = 0.9 or higher. Thus, the automated translation scoring system based on BERT can satisfactorily predict the ranking of translations according to translation quality and sift out high-quality translations potentially shortlisted for prizes.
Implementasi Media Digital Myon terhadap Kemampuan Literasi, Minat Baca dan Hasil Belajar Bahasa Inggris Kelas IV SD XYZ Jakarta

Literacy skills are crucial for students in the 21st century, as a student's ability to self-process learning greatly depends on these literacy skills. However, some studies indicate a decline in literacy activities among them. With the rapid development of the digital media and the high use of gadgets among schoolchildren, it is expected that these gadgets can enhance their literacy skills, reading interests, and English learning outcomes. This research aims to determine the effect of using the myON digital media on the students' literacy skills, reading interests, and English learning outcomes. A pre-experimental design was employed to observe the differences before and after the use of the myON digital media, followed by a mixed-method design with an explanatory sequential approach. The research population consisted of 48 Grade IV students. The research instruments included literacy skills worksheets to observe the differences between the pretest and posttest, an N-Gain test was conducted, with the analysis showing an increase classified as low (g ≤ 0.3). A questionnaire was used to assess the impacts of the myON media on their reading interests and English learning outcomes. A simple linear regression analysis was applied, and the results have indicated a significant value &gt; 0.05 for both variables, stating that there has been no significant influence from using myON on the students' reading interests and English learning outcomes.
Blockchain-based Trust Mechanism for Online Shared Mobility

Economic Management and Big Data Application, pp. 832-842 (2024) No AccessBlockchain-based Trust Mechanism for Online Shared MobilityHaonan Yao and Nan RenHaonan YaoSchool of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China and Nan RenSchool of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, Chinahttps://doi.org/10.1142/9789811270277_0073Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: In order to solve the trust problem in China’s online shared mobility, blockchain technology is used to build a trust mechanism to guide and encourage users’ honest transactions through smart contracts. Then, the agent model is built by AnyLogic software to simulate the behavior of users participating in the transaction. The results show that the willingness of users to perform the contract can be effectively improved under the incentive of the trust mechanism. Finally, some suggestions are put forward to ensure that the trust mechanism can be effectively applied. Keywords: Online Shared MobilityBlockchainSmart Contract FiguresReferencesRelatedDetails Recommended Economic Management and Big Data ApplicationMetrics History KeywordsOnline Shared MobilityBlockchainSmart ContractPDF download
A COMPARATIVE REVIEW OF DATA ENCRYPTION METHODS IN THE USA AND EUROPE

Data encryption is a critical aspect of modern information security, and understanding the approaches taken by different regions is vital for a comprehensive analysis. In the United States and Europe, data encryption methods vary in implementation, legal frameworks, and overall priorities. In the United States, encryption methods are primarily governed by a combination of federal laws and industry standards. The National Institute of Standards and Technology (NIST) plays a central role in recommending cryptographic standards, while the Department of Commerce oversees export controls on encryption technology. The focus in the U.S. is on balancing national security needs with individual privacy rights. The tension between law enforcement's desire for access to encrypted data for criminal investigations and the right to privacy has sparked debates and legal battles. On the other hand, Europe has taken a more privacy-centric approach to data protection. The General Data Protection Regulation (GDPR) is a cornerstone in the European Union's efforts to safeguard individual privacy rights. GDPR mandates the use of encryption to protect personal data, and failure to implement adequate measures can result in hefty fines. European countries also emphasize the importance of end-to-end encryption in communication services to ensure confidentiality. Both regions prioritize encryption, but their approaches reflect different values and legal philosophies. The U.S. tends to navigate a delicate balance between national security and individual rights, while Europe places a stronger emphasis on the protection of personal data as a fundamental right. In terms of technological implementation, the encryption algorithms adopted in both regions are often aligned with global standards. Advanced Encryption Standard (AES) is widely accepted and implemented in various sectors. However, the choice of key management and the level of regulatory oversight differ, contributing to the nuanced landscape of data protection. In conclusion, a comparative review of data encryption methods in the USA and Europe reveals the complex interplay between security, privacy, and legal frameworks. Understanding these differences is crucial for multinational organizations and individuals navigating the intricate landscape of global data protection.&#x0D; Keywords: Data, Encryption, USA, Europe, Review.
Mass Communication Strategy in Encouraging the Adoption of a Healthy Lifestyle in Society

Healthy lifestyle has become the main focus in efforts to prevent the increasing prevalence of non-communicable diseases in society. In this context, mass communication strategies play a central role in forming awareness and encouraging the adoption of a healthy lifestyle. This research aims to explore and analyze mass communication strategies that are effective in changing people's behavior regarding healthy lifestyles. The main objective of this research is to identify the most effective mass communication strategies in encouraging the adoption of healthy lifestyles in society. In addition, this study aims to evaluate the impact of this strategy on the level of awareness and behavior change regarding various aspects of a healthy lifestyle. This research uses the literature review method as an analytical framework. Data was collected from various sources such as scientific journals, articles and books related to mass communication strategies and healthy lifestyles. Data analysis involves detailing the various mass communication strategies that have been implemented and identifying patterns of success in changing people's behavior. the use of N.Vivo analysis can help in identifying patterns, trends, and relationships between various concepts and findings that emerge from these articles. \The research results show that mass communication strategies that rely on interesting narratives, effective use of social media, and involvement of community leaders have a significant impact in encouraging the adoption of a healthy lifestyle. The ability to create community engagement and respond to local cultural dynamics also plays an important role in the success of this strategy.
Causal relationship recognition algorithm based on external semantic and contextual structural features

Identifying the causal relationship of events plays an important role in determining the development of known events and evaluating the possible outcomes of different decisions. At present, neural network models are widely used to identify the relationships between events. Based on obtaining events, researchers distinguish the relationships between events by mining their semantics. However, due to the complexity of events and the dynamic changes in relationships between events, models often cannot fully meet the needs of accurately identifying causal relationships by only learning simple event descriptions in sentences; Moreover, focusing too much on the events themselves often leads to neglecting the structural features of statements and neglecting the impact of specific structural patterns on the relationships between events. In this article, we propose an event masking algorithm that combines external semantics to address the aforementioned issues. In this algorithm, external semantics are first introduced into the statement to enrich the information behind the event, allowing the model to mine the deep connections between events through a wider range of background knowledge; Then, the event masking module is used to enhance the model's extraction of sentence structured features, mining specific contextual representations that are unrelated to the event. The results show that compared to existing neural network algorithms, the algorithm proposed in this paper improves the F1 value of predictions on publicly available datasets by more than 4%.
Design research on an online summer school in mathematics education

Design research in education pursues two goals simultaneously: the development of a design and a local theory that clarifies how the design can achieve the intended effects and under what conditions. The results are obtained in an iterative cyclical process including both the implementation of the design and the research on its implementation. Each cycle contains a prospective phase, in which the design is determined, and a reflective phase, in which the implementation of the design is examined. The nested connection of theory and design development leads to a reciprocal relationship between the two final products. This article introduces an example of design research from mathematics education, in which an online summer school for doctoral students was to be framed in response to the sudden lockdown situation at the outbreak of the Covid-19 pandemic. At short notice, the original summer school was moved into the virtual space of a digital conference system resulting in new framework conditions; previous design principles were adapted and a rhythmical organization of space and time was theorized and implemented. Rhythm analyses show that design decisions to realize ontological, epistemological and axiological commitments intertwined and thus fostered students’ interactive learning processes. Consequently, the suggestion is made to merge the three commitments into a three-dimensional framework concept of ethico-onto-epistemological commitments. Such a framework concept would have the function of reconciling ethical, ontological and epistemological dimensions in design research in the pursuit of robust teaching-learning processes and incorporating the ethical responsibilities of design researchers conceptually for both design and local theory.
Use of Rubber Fruit Seeds in Making Fine Artworks at SMA Negeri 1 Payaraman

Rubber plants are very easy to find around SMAN 1 Payaraman because they are widely cultivated by the community around the school. One of the parts contained in the rubber plant is the rubber fruit seeds. Rubber fruit seeds are covered with a hard-textured seed coat, brown, and have a distinctive pattern. The inside of the rubber fruit seeds is usually processed as a food source by the people in the Payaraman area. Meanwhile, the shells of rubber fruit seeds, which have a hard, brownish texture, are only waste and no one has used them yet. The purpose of this research is to find out the process of using rubber fruit seeds in the creation of works of art. In making works of art using rubber fruit seeds, researchers are divided into several stages, namely; determining the theme, determining the type of work, determining the technique of making the work, preparing tools and materials, and making works of art based on the techniques students like. The result of this study is that students can create various works of art from rubber seeds. The types of works of art made from rubber seeds that were made by students were: paintings, key chains, flowers, wall hangings, and ant figures. Utilizing rubber fruit seeds in making works of art, can increase the knowledge of teachers and students to use various kinds of media that exist around the school so that they can become works of art which will certainly add to the selling value of a work of art.
Keynote Talk: How DSN is Contributing to Social Impact in Africa

DSN-Data Scientists Network (formerly Data Science Nigeria) is committed to raising 1 million AI talents and building AI solutions that improve the quality of life and wellbeing of 2 billion people in an emerging market. DSN is the No 1 Artificial Intelligence learning community and solution delivery network in Africa. We won the Matthai Impact Award at Deep Learning Indaba 2019. One of DSN’s papers on the use of AI to address financial inclusion was the best poster at the 21st edition of the ACM Conference on Economics and Computation (EC’ 20), the world’s premier conference on the interface of economics and computer science, organized by the Association for Computing Machinery, New York, United States. 2 Products initiated, conceptualized and developed by DSN were selected in the 2021 Global Top 100 AI Products by UNESCO IRCAI. DSN-Data Scientists Network (formerly Data Science Nigeria) is building cross-country AI learning and research communities, developing AI solutions that enhance the quality of life and wellbeing of 2 billion people in emerging markets such as CareerTech, FinTech, RetailTech, EdTech, PlatformTech and HealthTech. DSN’s work has won academic and social impact awards across the world which has been showcased as a best practice in delivering scalable learning, research and social good solutions development. We released the 1st Artificial Intelligence and Python Book for elementary students and beginners in Africa and we recently opened a dedicated AI Research Lab Hub in Yaba, Lagos for Social Impact. Our renewed focus will see us delivering on our vision through a renewed focus on 3 core areas; A community for learning and research Product development for social impact Partnerships for solution delivery
The Effects of Chromebook Use on Student Engagement

This action research project is intended to determine the effects of Chromebook technology on student engagement in the secondary classroom. The study involved a classroom of first-year students enrolled in a health course. These students used Chromebooks for the first time as part of the one-to-one (1:1) initiative. Chromebooks were utilized as a part of the curriculum, incorporating daily lessons, teaching tools, applications, and various activities for student learning. Data collection methods included observations, teacher journals, and field notes. On-task and off-task behaviors were noted, and the results of the data analysis showed the level of engagement involved when using Chromebooks in the classroom. Levels of engagement were explored through a six-week study in a 9th-grade classroom comprised of 28 students using Chromebook one-to-one. Engagement included focus, interest, participation in the lesson and activity, and positive social interactions between the teacher and classmates. This action research investigation indicated that incorporating Chromebook technology into lessons effectively increased student engagement and motivation.