Reviewerly/exHarmony huggingface dataset:
A Blockchain Based Framework for Remote Sensing Data Management

A large amount of raw data collected by satellites is processed by the production chain to obtain a large amount of product data, of which the secure exchange and storage is of interest to researchers in the field of remote sensing information science. Authentic, secure data is a critical foundation for data analysis and decision-making. And traditional centralized cloud computing systems are vulnerable to attacks, and once the central server is successfully attacked, all data will be lost. Distributed Ledger Technology (DLT) is an innovative computer technology that can ensure information security, traceability and tamper-proof, and can be applied to the field of remote sensing. Although there are many advantages to using DLT in remote sensing applications, there are some obstacles and limitations to its application. Remote sensing data has the characteristics of large data volume, spatiotemporal nature, global and so on, and it is difficult to store and interconnect remote sensing data in the blockchain. To address these issues, this paper proposes a trustworthy and decentralized system using blockchain. The novelty of this paper is to propose a multi-level blockchain architecture in which the system collects remote sensing data and stores it in the Interplanetary File System (IPFS) network, after generating the IPFS hash, the network rehashes the value again and uploads it on the Ethereum chain for public query. Distributed data storage improves data security, supports the secure exchange of information, and improves the efficiency of data management.
Edge Computing: Extending the Cloud to the Edge of the Network

Edge Computing: Extending the Cloud to the Edge of the Network
Penggunaan Model Pembelajaran Scramble dalam Meningkatkan Hasil Belajar IPS Siswa Kelas IV SDN 1 Penawar Jaya Tulang Bawang

The problem in this research is that students' learning outcomes are not yet maximal. The purpose of this study was to determine the increase in social studies learning outcomes after following the scramble learning model for the fourth grade students of SDN 1 Penawar Jaya Tulang Bawang. This research uses Classroom Action Research (CAR). Data collection techniques using test questions, observation, and documentation. The results showed that the percentage of student activity in the first cycle of meeting 1 obtained a percentage of 57.14% (less) and at the second meeting a percentage of 67.86% (enough). In the second cycle at the first meeting the percentage was 82.14% (good) and at the second meeting the percentage was 92.86% (very good). While the aspect of learning outcomes at the pre-cycle stage obtained a percentage of 47.06%, increased in the first cycle to 64.71% and increased again to 88.24% in the second cycle. Based on the explanation above, it can be concluded that the application of the scramble learning model can improve social studies learning outcomes for fourth grade students at SDN 1 Penawar Jaya Tulang Bawang.
Penggunaan Model Pembelajaran Discovery Learning dalam Meningkatan Hasil Belajar Siswa Sekolah Dasar

Currently, education is required to be better related to student learning outcomes. Learning outcomes are strongly influenced by how the teacher chooses the delivery model of learning material in the classroom. Therefore, this article was created with the aim of providing references related to learning models which in their application have been proven to improve student learning outcomes in elementary schools. In Indonesia, there are various types of learning models, each of which has its own advantages and disadvantages. On this occasion the researcher only chose one learning model, namely discovery learning. So the researchers conducted research using the meta-analysis method, which is an effort to summarize various research results by studying 5 data documents related to the use of published discovery learning models. From the research conducted, it is proven that the discovery learning model is able to help increase student activity in the learning process with students finding their own information so that it shows an increase in student learning outcomes both in elementary school.
High-performanceintelligent Models for Faster Ailments Extraction Over the Big Healthcare Data

Abstract Today, predictions for social use are being made in the growing field of social recommended applications. Twitter is a popular platform because it allows millions of users to express their opinions. One of the most emerging areas of study in social mining for large datasets is healthcare prediction. Applying topic models to healthcare data allows for the derivation of predictive insights. An illness or a symptom of a certain health issue is called an ailment. Condition-based evaluation of millions of tweets is performed using the assistance of ailment topic aspect models. The present topic models, which are Latent Semantic Indexing (LSI), Latent Dirichlet Allocation (LDA), and Probabilistic LSI (PLSI), are used for an evaluation of medical outcomes for any one of the ailments' aspects restrictions. Except for adverse effects evaluations of therapies, the state-of-the-art ailments topic aspect model (ATAM) solves the issues and provides healthcare findings for the essential features of ailments data. In order to provide healthcare outcomes over a huge quantity of medical data, ATAM's scalability efficiency is compromised. This paper presents intelligent and highly computational extended ATAM that operates in a distributed environment to solve the scaling issue. Its technique is developed on a multi-node Hadoop system's distributed environment for scalable results. Experiments have been carried out using lakhs of tweets on health and diseases to highlight comparisons between the currently used high-performance models and those recommended.
Peningkatan Aktivitas dan Prestasi Belajar Penjumlahan Menggunakan Alat Peraga Realia pada Siswa Kelas 2 SD Negeri 3 Gedong Tataan Kabupaten Pesawaran TP 2019/2020

Based on pre-study activities and student achievement of SD Negeri 3 Gedong Tataan, Pesawaran Regency in learning Mathematics is low. The purpose of this research is to increase the activity and learning achievement of Addition Using Realia teaching aids in grade 2 students of SD Negeri 3 Gedong Tataan Pesawaran for the 2019/2020 academic year. The research method uses CAR through the research cycle, data is obtained from tests to obtain achievement data and observation sheets to observe student learning activities and is also supported by observations by observers. The results of the research on learning activities in the first cycle an average of 68.5%, the second cycle an average of 86.5%, the third cycle an average of 99.5% (cycle I to cycle II increased 18%, cycle II to cycle III increased 13 %, student activity increased by an average of 15.5%.The average learning achievement (complete) Cycle I was 22 (completed 73%), Cycle II averaged 25 (completed 83%), Cycle III averaged 30 ( completed 100%). That is, from cycle I to Cycle II increased 10%, Cycle II to cycle III increased 13%, or student learning outcomes increased by an average of 11.5%. Thus, the use of realia teaching aids can increase activity and Learning achievement Summing for Grade 2 students of SD Negeri 3 Gedong Tataan Pesawaran Regency for the 2019/2020 academic year.
THE ANALYSIS OF ALBANIAN ECONOMIC DEVELOPMENT THROUGH THE YEARS

The economic situation of a country can be explained through a dynamism of a group of indicators and factors that affect the continuity trend flow of economic growth. Also, the historical aspect is one of the most meaningful factors defining a country’s development stage. Although the indication of the social and political conditions, unpredictable situations like the Covid-19 pandemic have negatively affected the economy’s growth trend. However, to evaluate the overall economic situation is necessary to consider an evaluation basis that will lead to the tendency of the living standard. The study is undertaken for the Albanian case, a country in transition based on its economic development, from 1991 to 2021. The key assessment factor considered in this study is the GDP, as one of the most meaningful evaluators of the living standard. After analyzing the Albanian economy by considering the historical phases of the economic development of this country, there is a created model for identifying the potential relations between the Gross Domestic Product, Consumption Expenditures, Trade Balance, and Foreign Direct Investments for explaining the actual living standard and generating its forecast for upcoming years. At the end of the study are given the results and the recommendations.
Utilisation of Canva Application and Student Worksheet Digital-based Islamic learning

This research aims to describe how PAI teachers use the Canva application media and sheets student work in learning digital-based, as well as illustrate student learning conditions when the teacher uses the Canva application and worksheets in digital-based PAI learning. Study This implemented at SMP Muhammadiyah 1 Sidoarjo. This study uses a qualitative descriptive approach that ensures data through data validity. Technique research data was collected through interviews, documents, and observations with subject study PAI teachers and class VII students. Data were collected for data reduction for the next in the analysis using the data triangulation technique for making conclusions and interrogation. The research results explain that the application canvas and worksheets used in PAI learning using the Flipped classroom model assist PAI teachers in explaining material learning effectively and efficiently. The Canva application is used to provide understanding to students through mind mapping, and the worksheet application, as student worksheets, is used to evaluate learning. By utilizing these two learning media, it turns out that it is able to improve student learning conditions that are active, innovative, creative, effective, and fun. Active students can be seen from the involvement of students in answering the question and answer questions, innovative is shown through the results of mind mapping work, practical can be seen from the achievement of understanding as measured from the table worksheet, and fun can be seen from the learning conditions of students in responding to learning.
Accessibility and Inclusiveness of New Information and Communication Technologies for Disabled Users and Content Creators in the Metaverse

This article is focused on accessibility and inclusiveness of the new Metaverse(s). We conducted a detailed review of the existing standards and we cannot find anything that would ensure these technologies are inclusive of people with physical disabilities. This is the first step in providing some of the answers, and in this article, we discuss many new technologies that can assist disabled people to use the Metaverse(s). Although these technologies are not always designed with the intention of empowering disabled people, they can be used for that purpose, and the Metaverse concept is also empowering for disabled people, because they can work, socialise, and even get physical activity in the Metaverse.
Using Traditional Flashcard to Teach the Present Progressive Tense

In recent years, learning technology has developed very rapidly. However, many schools have not been fully facilitated, so they still use conventional learning media. The purpose of this research is to find out whether traditional flashcards as a learning tool can improve the present progressive tense and how grade 3 students at SD N 01 Trimulyo see the use of traditional flashcards as a learning tool. In this study, data were collected through observation and interviews. Grade 3 students of SD N 01 Trimulyo became the object of this research. Researchers also conduct tests to find out how research findings develop. This study uses a qualitative methodology and a qualitative descriptive approach. The results of the study show that traditional flashcards can be used as alternative learning media in today's digital and internet era. This medium really helps teachers. Students feel happier and find it easier to learn English after using traditional flashcards. Students are more motivated to learn because learning using traditional flashcards is easier for them to understand. In the world of education, the traditional use of flashcards is still a new method. Traditional flashcards are a solution for schools that do not yet have sufficient facilities in today's modern and digital era.
The Development of Non-Fiction Text Books for Class XI Vocational High Schools Based on the Cooperative Integrated Reading and Composition Learning Model

This study aimed to: (1) produce textbooks for reading comprehension of non-fiction texts for class XI SMK based on the Cooperative Integrated Reading and Composition learning model, (2) describe the results of the product validation of reading comprehension textbooks of non-fiction for class XI SMK based on the Cooperative Integrated Reading and Composition learning model by experts and teachers, and (3) describe the results of the assessment of the non-fiction textbook reading comprehension of class XI SMK based on the Cooperative Integrated Reading and Composition learning model by students. This development research used the ADDIE development model (Analysis, Design, Development, Implementation, and Evaluation), which consists of five stages: (1) analysis, (2) design, (3) development, (4) implementation, and (5) evaluation. The needs analysis was carried out at three schools in the city of Yogyakarta, namely SMK Negeri 4 Yogyakarta, SMK Negeri 6 Yogyakarta, and SMK Perkebunan MM 52 Yogyakarta. Product validation was carried out by one expert lecturer and three teachers. The product trial was conducted on 52 students of class XI at SMK Negeri 6 Yogyakarta. The data collection techniques used questionnaires and interviews. The data collection instrument used a needs analysis questionnaire, a list of interview questions, a validation sheet, and a student response sheet. The data analysis technique used descriptive and quantitative analysis. The scale used is a Likert scale with a scale of 1-5. The results of this study produced a product in the form of a textbook reading comprehension of non-fiction texts for class XI SMK based on the Cooperative Integrated Reading and Composition learning model. This non-fiction reading comprehension textbook was developed based on the 2013 revised 2017 edition of the curriculum, which consists of procedure texts, explanatory texts, lecture texts, and review texts. Textbook products were printed in the form of package books. Based on the results of expert and teacher validation, this textbook was declared feasible to be used as teaching material for learning to read in the classroom. The expert gave a score of 4.06 in the "good" category, while the teacher gave a score of 4.35 in the "very good" category. Based on student responses, the book received a score of 4.04 in the "good" category.
A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges

Abstract In machine learning, a generative model is responsible for generating new samples of data in terms of a probabilistic model. Generative adversarial network (GAN) has been widely used to generate realistic samples in different domains and outperforms its peers in the generative models family. However, producing a robust GAN model is not a trivial task because many challenges face the GAN during the training process and impact its performance, affecting the quality and diversity of the generated samples. In this article, we conduct a comprehensive review of GANs to present the fundamentals of GAN, including its components, types, and objective functions. Also, we present an overview of the evaluation matrices used to evaluate GAN models. Moreover, we list the applications of GANs and research work in various domains. Finally, we present the challenges that face GANs and highlight two significant issues, representing mode collapse and training instability, in addition to those research efforts that tackle these challenges. This article is categorized under: Statistical Learning and Exploratory Methods of the Data Sciences &gt; Deep Learning Statistical Learning and Exploratory Methods of the Data Sciences &gt; Neural Networks
Methodology for Securing and Monitoring IoT Devices through Blockchain Technology

Abstract: This paper aimsto secure and monitorthe IoT devicesthrough blockchain technology. The Internetof Things (IoT) is an essential technology in our daily lives. These devices and sensors are makingour human lives much easier and more comfortable. IoT is a multilayer technology that involves collecting and sharing data via a cloud-based platform. However, these IoT devices are lacking security measures, which makes them vulnerable. Blockchain technology is a decentralized process that is capable of data encryption, auditing, and immutability. It can also help us to solve security issues, especially in IoT devices. Blockchain records digital transactions and prevents them from being duplicated. Nonetheless, adopting blockchain technology for an enterprise network presents challenges. In this paper, we present a new blockchain-based framework for IoT devices in the tollgate plaza system. Our framework is oriented for IoT data and facilitates securedata sharing. Through blockchain, we can quickly improve security measures and networkefficiency, which we are affecting with IoT. Additionally, we showcase how to generate hash values to secure data in the network. This application framework developed by using smart contracts that consist of rules and conditions. This paper highlights some IoT issues where blockchain plays a vital role
CYBERSECURITY RECOMMENDATIONS AND BEST PRACTICES FOR DIGITAL EDUCATION

In light of Covid-19, there has been an increasing trend over the past few years to use e-learning platforms more frequently. Hackers use various methods to play with the human mind of the learner or instructor, using their unexperienced internet habits. The article examines the risks and benefits of using augmented, mixed, and virtual reality applications in e-learning. Good practices for cyber risk assessment and measures to improve cyber security are shown.
A Survey of Legal Document Summarization Methods

Legal document Summarization is one of the major applications of Artificial Intelligence for Law.This paper presents a survey of various types of approaches.Legal document summarization approaches are mainly categorized as: Extractive vs. Abstractive, Supervised vs. Unsupervised.Recently, Legal domain specific vs.General Domain Large Language Models for legal document summarization are developed.This paper also presents an overview of state-of-theart technology using LLMs for Legal document summarization.An innovative approach of Knowledge Representation using Ripple-Down-Rules for document summarization is also presented.The paper also presents evaluation of methods.
Effectivity of Pregnancy Paper Fan and Android Notification System Toward Knowledge, Attitude, and Adherence of Pregnant Women on Iron Supplements Consumption

Background: Anemia during pregnancy is a kind of problem that most expectant mothers are dealing with. Consuming iron supplements is one kind of solution to lower the cases of anemia. However, the number of anemia in expectant mothers in West Sumatra is still high, 43% of them experience anemia in pregnancy and 52% of them did not adhere to consuming iron supplements. Purpose: Creating two kinds of media to motivate expectant mothers in consuming iron supplements, which are pregnancy paper fan and an Android notification system installed on their mobile phones, as well as to determine the effectivity of both media on knowledge, attitude, and adherence on consuming iron supplements. Methods: The population of this research is expectant mothers with a number of sample 110 respondents, where 55 respondents were intervened with pregnancy paper fan and 55 respondents were intervened by an android notification system. Results: The result of the bivariate analysis shows that the Android notification system has a significant impact on the adherence, knowledge, and attitude of expectant mothers on consuming iron supplements during pregnancy. However, the pregnancy paper fan has a significant impact only on knowledge and the adherence of expectant mothers on consuming iron supplements, while there is no significant impact on attitude toward consuming iron supplements. Conclusion: The use of the Android Notification System is effective on knowledge, attitudes, and compliance of expectant mothers on consuming iron supplements.
How does the Mass Media Represent the Concept of Electric Vehicles?

The number of electric vehicle sales has been increasing rapidly since 2015. This marketing success is inseparable from the role of the mass media in promoting and campaigning for the use of such vehicles. This study attempts to investigate how the mass media represents the concept of electric vehicles through its campaign and promotion discourses. Using a descriptive qualitative method with the interpretation technique, this study analyzed 20 texts collected from electric vehicle campaigns and promotion discourses produced by the mass media. The data was analyzed from the Critical Discourse Analysis perspective based on Hall's theory of representation and Fowler's theory of linguistic tools. This process resulted in 177 words, phrases, and clauses that represent the concept of electric vehicles. The results of this study reveal 4 (four) important representations of electric vehicles from the eye of the mass media; (1) electric vehicles are environmentally friendly, (2) electric vehicles are technologically advanced, (3) electric vehicles are economical, and (4) electric vehicles are a growing innovation. The results of this study are expected to bring both theoretical and practical contributions. Theoretically, they add to the knowledge in the realm of Critical Discourse Analysis, especially regarding representation. Meanwhile, practically, the results of this study are beneficial for mass media practitioners to be used as a model to construct campaign and advertisement languages that are able to attract audience attention as well as influence people's ideology.
Higher Education Means More than Vocational Training in the 21st Century

Based on theoretical approach of Biesta and Nussbaum, this essay argues that higher education means more than vocational training in the 21st century. The article first contributes to different insights into the area of educational purposes and policy. Then it analyzes the specific issue within this theme-vocationalism in higher education-with the help of the two theoretical tools, arguing that Biesta’s approach offers a more appropriate and fuller explanation for the issue. Maintaining the diversity of purposes of higher education can make it better function in the social system and prevent us from getting lost in the way of discovering its true value. Finally, there are two recommendations for thinking about the ultimate value of education regardless of its forms.