Reviewerly/exHarmony huggingface dataset:
Streamlining Compliance and Governance with AI in Cloud-based Programs

Cloud-based programs offer numerous advantages to businesses and governments, including cost reduction, scalability, and on-demand services. Software as a Service (SaaS) is a prominent cloud computing model, providing potential cost-savings and improved cost control. Cloud-based programs enable efficient resource provisioning, auto-scaling, and dynamic resource acquisition and release, leading to increased profitability and reduced reliance on on-site IT infrastructure. However, adopting cloud-based programs comes with challenges related to security and compliance. This article explores the advantages and differences of cloud-based programs compared to traditional software. It highlights the benefits of using AI in cloud-based programs to improve governance and compliance by streamlining processes and automating tasks. AI can enhance energy efficiency in cloud-based programs and significantly contribute to cost savings. However, it also introduces potential security risks and the need for robust security solutions to protect data in cloud-based eHealth systems. The article emphasizes best practices for ensuring security in cloud-based programs, such as role-based access, encryption, and data monitoring. It discusses the potential risks of using AI for security and the importance of developing governance practices specific to AI applications. Moreover, it explores the benefits of AI for compliance and governance in cloud-based programs, such as risk management, scalability, and improved efficiency. The article underscores the long-term benefits of using AI in compliance and governance, including the enhancement of corporate governance and expertise in AI risks over time. In conclusion, cloud-based programs coupled with AI present opportunities to revolutionize various industries by providing cost-effective, scalable, and secure solutions for compliance and governance needs. However, adopting AI in these programs requires careful consideration of security measures and adherence to specific AI governance practices to ensure the responsible and beneficial deployment of AI technologies.
Maximizing Resource Utilization in GKE: A Case Study on IP AddressManagement and Budget Allocation in Google Kubernetes EngineConfig Page

Maximizing resource utilization in Google Kubernetes Engine (GKE) can lead to cost savings and better performance.This case study examines how an organization optimizes IP address management and budget allocation in GKE bycombining static and dynamic IP addresses, reserved instances, and autoscaling. The organization found that static IPaddresses were useful for critical services, while dynamic IP addresses were more appropriate for non-critical services.Using reserved instances and autoscaling allowed the organization to minimize costs while ensuring that resourceswere available when needed. The findings of this study have implications for organizations using GKE, highlighting theimportance of effective resource utilization for achieving optimal performance and cost savings.
Penerapan Konsep Peeragogy dalam Pembelajaran Tenses pada English Meeting Club Program Studi Tadris Bahasa Inggris

Learning English especially tenses is still a scary thing to learn for most students. However, the English Education Study Program has a forum that provides space for students to actualize themselves in practicing to become peer tutors, namely the English Meeting Club. The purpose of this study is to find out the application of the concept of peeragogy in learning tenses at the English Meeting Club in the English Language Education Study Program. The method used in this study was descriptive qualitative with a sample of English Education study program students consisting of 3 (three) batches. Data collection techniques using observation, interviews and documentation with data analysis using the theory of Miles and Huberman. The results obtained from this study are related to the concept of applying peeragogy in learning tenses at the English Meeting Club of the English Education Study Program, namely the teacher (mentor) is a student of English Education Study Program who every week has been arranged in turns by presenting different tenses themes. Material presentation techniques were dominated by discussions and games. In addition, the teacher also provides tricks and tips that make it easier for students to better understand tenses material. The presentation of this material is also not only done in the classroom, but is carried out outside the classroom, both in the afternoon and at night.
Cybergogy: Konsep dan Implementasi dalam Pembelajaran Phonology Program Studi Tadris Bahasa Inggris

As we know, information and communication technology are developing rapidly in this era. This ever-evolving and improving technology has led to increased learning and innovation opportunities associated with newer information and communication technology systems. Along with the development of this technology, improving the quality of human resources is also needed, so that the world of education needs to take steps to innovate learning methods. Therefore, the English Tadris Study Program proposes a learning method through the concept of cybergogy as an involved online learning system. Cybergogy is a learning innovation based on information and communication technology with three interrelated factors, namely: cognitive, emotional, and social. The purpose of this study is to provide an overview of the concept and implementation of cyberphony in learning phonology. The method used in this research is a literature study. Data collection techniques include searching for data in books, journals, and the web (internet) with data analysis using the theory of Miles and Huberman. The results and discussion of this study on phonology can be applied to the learning process with the cybergogy method. Learning phonology through the concept of cybergogy can be easily understood because phonology studies sound, and this learning is very compatible with the concept of cybergogy, which is learning with native speakers through online media.
Probabilistic estimation of the algebraic degree of Boolean functions

Abstract The algebraic degree is an important parameter of Boolean functions used in cryptography. When a function in a large number of variables is not given explicitly in algebraic normal form, it is usually not feasible to compute its degree, so we need to estimate it. We propose a probabilistic test for deciding whether the algebraic degree of a Boolean function f is below a certain value k . If the degree is indeed below k , then f will always pass the test, otherwise f will fail each instance of the test with a probability $$\textrm{dt}_k(f)$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mtext>dt</mml:mtext> <mml:mi>k</mml:mi> </mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>f</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> , which is closely related to the average number of monomials of degree k of the polynomials which are affine equivalent to f . The test has a good accuracy only if this probability $$\textrm{dt}_k(f)$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mtext>dt</mml:mtext> <mml:mi>k</mml:mi> </mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>f</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> of failing the test is not too small. We initiate the study of $$\textrm{dt}_k(f)$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mtext>dt</mml:mtext> <mml:mi>k</mml:mi> </mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>f</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> by showing that in the particular case when the degree of f is actually equal to k , the probability will be in the interval (0.288788, 0.5], and therefore a small number of runs of the test will be sufficient to give, with very high probability, the correct answer. Exact values of $$\textrm{dt}_k(f)$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mtext>dt</mml:mtext> <mml:mi>k</mml:mi> </mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>f</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> for all the polynomials in 8 variables were computed using the representatives listed by Hou and by Langevin and Leander.
Reinforcement Learning-Based Approach to Robot Path Tracking in Nonlinear Dynamic Environments

To address the issue of error-prone and unstable trajectory tracking and dynamic obstacle avoidance of mobile robots in locally observable nonlinear dynamic settings, a deep reinforcement learning (RL)-based visual perception, and decision-making system is proposed. The technique creates a closed loop between the system’s environmental perception and decision-making capabilities by combining the perceptual capabilities of convolutional neural networks with the decision-making capabilities of RL in a generic form. It achieves direct output control from the visual perception input of the environment to the action through end-to-end learning. The simulation results show that this approach is capable of meeting the demands of multi-task intelligent perception and decision making. It also more effectively addresses issues with traditional algorithms, including their tendency to fall into local optimums, oscillate in groups of similar obstacles without recognizing the path, oscillate in tight spaces and inaccessible targets close to obstacles and significantly enhance real-time and adaptability of robot trajectory tracking and dynamic obstacle avoidance.
Sentiment analysis and prediction model based on Chinese government affairs microblogs

<h2>Abstract</h2> Existing sentiment analysis research on Chinese government affairs microblogs primarily focuses on the task of sentiment classification on microblogs. There has been a lack of investigation into the correlation of each government affairs microblog with the sentiment values of the corresponding comments below it. This study constructs a large-scale government affairs microblog dataset and explore the correlation of each microblog with the sentiment values of the corresponding comments below it. We proposed a new framework that includes data collection, sentiment analysis and sentiment prediction model training. This sentiment analysis framework is crucial in the government's understanding of the public's real-time sentiments toward policies. It also helps monitor the Internet public sentiment and actively guide the Internet public opinion. We first analyzed the sentiment distribution of government affairs microblogs and the sentiment values on meaningful words. We also discussed the discrepancy in text similarity and sentiment values between microblogs. Furthermore, we investigated the extreme emotional content and discussed the factors influencing the sentiment values of comments. Finally, we designed a collaborative attention regression model to predict the sentiments of microblogs. The sentiment prediction model performed well in the sentiment prediction regression task. The sentiment analysis and the prediction framework for government affairs microblogs in this study can be used as a reference for government-related Internet opinion monitoring.
PENGARUH METODE SAS UNTUK MENINGKATKAN KEMAMPUAN MEMBACA SISWA KELAS 1 SD

This study aims to determine the effect of the SAS method to improve the reading ability of first grade elementary school students. The research method used is a quantitative type of experiment in the form of a pre experimental design and a one group pretest posttest design. The population in this study amounted to 21 first grade elementary school students. The sample in this study used a purposive sampling technique. Data collection techniques used are observation and tests. The data analysis technique used is the t test (paired sample t-test). From the results of research data processing with the help of the SPSS 26 application, the value of ????ℎ???????????????????? = 8.302 ≥ ???????????????????????? = 1.725 with α = 0.05 and df = 20, then 8.302 ≥ 1.725 thus ????ℎ???????????????????? ≥ ????????????????????????. In accordance with the prerequisites for testing the hypothesis, ????0 is rejected and ???????? is accepted or there is a significant effect between the Synthetic Structural Analytical (SAS) method to improve the reading ability of class I elementary school students.
PENERAPAN METODE SPEED READING TERHADAP KEMAMPUAN MEMBACA PADA PEMBELAJARAN BAHASA INDONESIA SISWA KELAS V SD NEGERI 31 PALEMBANG

This study aims to determine the application of the speed reading method to reading skills in Indonesian language learning for fifth grade students at SD Negeri 31 Palembang. The type of research used by researchers is descriptive with a quantitative approach, the design used in this study is pre-exsperimental (non-designs) with the type of “pre-test and post-test one group design”, namely research using only one class without any comparison class or control class. The population and sample of this study are the population of all students from class I to class VI of SD Negeri 31 Palembang, totaling 251 people and the sample is class V, totaling 20 people. Data was collected using observation and also tests, the data collected was analyzed using pretest and posttest. The results of the study showed that the results of reading ability before being taught using speed reading reached the high category. So it can be concluded that the speed reading method can be used to improve reading skills, some of the advantages are that it can activate students during the learning process, attract students’ attention and facilitate student understanding.&#x0D; Keywords: Speed Reading Method, Reading Ability
Resource Limitations for Wireless Sensor Networks to Establish a Comprehensive Security System in the 5G Network

The difficulty with safety in Wireless Sensor Networks (WSNs) requires comprehensive, holistic security techniques that can offer a long-term solution. Quantum security is anticipated to assist in the overall security strategy for WSN systems given the broad adoption of WSN around the world, notably the Internet of Things (IoTs). With the use of WSN and these quantum safeguards, data security can be offered whenever and anywhere. This study examines the security limitations of WSNs and offers a comprehensive approach through all network layers that will function as an Equal security mechanism solution and a solution to shield nodes from threats such as attacks on sensitive data, eavesdropping, disruption, destruction, and alteration. WSNs are used in a range of missions, especially the armed forces, ecological, and health ones, for evaluation, tracking, and regulating purposes. However, problems arise from being aware of their resource limitations. Data and node security are difficulties when using WSN because to low computation capabilities, small memory, few power sources, and unreliable connectivity, to name just a few. Therefore, as the demand for WSNs increases, so does the need for better security measures.&#x0D;
An ontological architecture for context data retrieval and ranking using SVM and DNN

Context retrieval and ranking have always been an area of interest for researchers around the world. The ranking provides significance to the data that has to be presented in front of users but it also consumes time if the ranking architecture is not organized. The retrieval is dependent upon the co-relation among the data attributes that are supplied against a class label also referred to as ground truth and the ranking depends upon the sensing polarity that indicates the hold of the outcome towards asked information. This paper illustrates an ontological architecture that involves two phases namely context retrieval and ranking. The ranking phase is composed of three different algorithm architectures namely k-means, Support Vector Machines (SVM), and Deep Neural Networks (DNN). The DNN is tuned to fit and work as per the availability of a total number of samples. The proposed work has been evaluated for both quantitative and qualitative parameters in different sets and scenarios. The proposed work has also been compared with other state of art techniques and is illustrated in the paper itself.
Video Steganography Based on Modified Data Protection Scheme

Abstract: Since last few years, communication technology more focus about significance over information security during sharing on different platform by using internet service. Also in this world of computer we see everyone is exchange their personal as well as other type of information through the web. The main factor is that how to keep information unchanged while verifying it also keep it safe up to reaches the recipient. One component of the solution to these kind of problems is cryptography. Also steganography can be used security purpose to keep data safe. By Using mathematical techniques and the stego keys the issue how to store them safely
BLOCKCHAIN TECHNOLOGY IN MSME BOOKKEEPING IN INDONESIA

Blockchain technology is experiencing rapid development in today's digital era. Likewise with MSMEs which show the growth of business actors and an increase in their contribution to the national economy (GDP) in Indonesia. The advantages offered by blockchain technology are expected to be able to support the business operations of a business entity, one of which is the bookkeeping of MSMEs in Indonesia. This study aims to analyse the potential application and use of blockchain technology in MSME bookkeeping in Indonesia. This study uses a qualitative method with a case study approach and analysis of explanatory strategies. The data used is secondary data. The results of the study found that blockchain can be used as a technology for MSME bookkeeping in Indonesia. One of the reasons is that all accounting transactions can potentially be tracked with the blockchain. The data in this technology can be considered as relevant information due to the nature of blockchain as a technology that records and stores data that cannot be changed and manipulated. Blockchain is used as a database and data processing is still carried out using an Accounting Information System. Blockchain cannot automatically process data into information that may be needed in accounting.
Library Management System

Abstract: The library management system plays a crucial role in the organization and accessibility of a wide variety of information resources in contemporary educational and cultural organizations. The enhanced Library Management System (LMS) described in this abstract is intended to improve the functionality and efficiency of library operations. Modern technologies are included into the suggested system to automate and streamline various library management operations. It includes functions including friendly user interfaces for administrators and clients, automated resource cataloging and indexing, real-time availability tracking, and tailored suggestions for users. The system attempts to improve user experience overall, decrease manual intervention, and maximize resource use. Institutions may improve their library operations, provide users with better services, and stay on the cutting edge of technology innovations in the area by implementing this sophisticated Library Management System. The system's emphasis on data security, automation capabilities, and user-centric design all work together to provide an effective and up-to-date library administration experience.
Japanese Language Learning Media in Indonesia at the High School/SMK/equivalent Level Curriculum K13 and Merdeka

The Japanese colonization of Indonesia, which lasted for three and a half years, had a profound impact on Indonesian history. With a time span not much longer than the Dutch colonization, the Japanese colonization had a major effect on Indonesia. It affected all aspects, including language. The interest in the Japanese language, and its inclusion in the Indonesian curriculum, cannot be separated from the history between Indonesia and Japan and the good bilateral relations between the two. The Japanese language as education is seen as a whole system that includes curriculum, materials, facilities, teacher-learners, teaching methodology, teaching media, and evaluation. This study aims to find out the Japanese language learning media in Indonesia at the Senior High School level and the equivalent to see how learning media can be done in learning a foreign language, namely Japanese. Data is collected using literature study techniques with descriptive-qualitative methods that describe data systematically and in detail to explore social phenomena or the real situation of Japanese language learning K13 Curriculum and Merdeka Curriculum at the SMA / SMK / equivalent level in the use of learning media. The results of the study state that mobile applications and device-based Japanese online dictionaries can be used for Japanese language learning at the SMA / SMK / equivalent level as basic or beginner level learners.
Two Decades of Bibliometric Research in Indonesia

Bibliometric research in Indonesia is essential to do for exploring trends and understanding the knowledge base of bibliometric research from the perspective of globally indexed publications. Bibliometric studies have been applied mainly to scientific fields of activity, mostly based on metadata elements such as author, title, subject, citation, etc., related to scientific publications in a discipline. However, no study explicitly discusses the development of bibliometric research in Indonesia based on globally indexed publications. This study aims to identify 1) the growth of bibliometric research in Indonesia, 2) the performance of scientific agencies in publishing bibliometric research in Indonesia, and 3) the science mapping of bibliometric research in Indonesia. This study used data and graphical quantification methods to help researchers understand the future progress and trends of bibliometric research in Indonesia. The study results show that within two decades, there have been 167 relevant documents published and globally indexed in this field. The 167 documents were then analyzed and interpreted using bibliometric techniques: performance analysis and science mapping. The performance analysis results show that bibliometric publications in Indonesia continue to increase from one publication in 2001 to 85 documents in 2022. The most popular categories studied with bibliometrics are Environmental science and Engineering. The analysis results also show the productivity of each scientific actor, including writers, institutions, and countries. The conclusion showed four significant clusters in bibliometric research in Indonesia: the Chemical science cluster, Bibliometric analysis and literature review, food safety, and top Indonesian universities.
Meningkatkan Kemampuan Keaksaraan Awal Melalui Media Kartu Suku Kata Bergambar dalam Pembelajaran Blended Learning Pada Kelompok B di TK Aisyiyah Bustanul Athfal Sokawera Tahun Pelajaran 2020-2021

This study aims to improve early literacy skills through the medium of illustrated syllable cards in blanded learning in group B at Aisyiyah Bustanul Athfal Sokawera Kindergarten. this study used Classroom Action Research (CAR). The subjects of the study with the number of children as many as 15 children consisted of 8 boys and 7 girls. Data collection by observation and documentation. This study showed an improvement in each cycle. In precyclicality there were 26% of 15 children. The increase showed that in cycle 1 1st meeting showed 38%, cycle 1 2nd meeting showed an increase of 47%. In cycle 2, 1st meeting showed an increase of 71% and cycle 2, 2nd meeting showed a very disturbing success achievement of 91% so that it could exceed the predetermined achievement indicator of 80%. From the results of research that has been carried out, it shows that with the media of pictorial syllable cards, it can improve the initial literacy ability in group B aged 5-6 years.