Reviewerly/exHarmony huggingface dataset:
Data Security in Cloud Computing using Three Way Mechanism

Cloud computing is the front line innovation of the decennium. It empowers users to store enormous collection of information in distributed storage and make use of it as and when they please from any corner of the world, with any sorts of hardware. As this distributive computing is reliant on the internet facility, issues of security like privacy, security of information, authentication and data confidentiality is experienced. So as to dispose of these issues, an assortment of encryption calculations and systems are utilized. Numerous specialists pick what they discovered best and made use of these in different blends to give the security to the information in cloud. Going through a comparable circumstance, we have decided to utilize a mix of validation system and key trade calculation mixed with an encryption calculation. The blend is alluded to as a "Three way mechanism" since it guarantees all three of confirmation, information protection and inspection insurance policies. In this paper, we have proposed to utilize two-factor authentication mixed in (AES) Advanced Encryption Standard encryption calculation that secures the secrecy of information put away within cloud. Without user’s private key that is special to the user, even if the key that is moving is stolen or hijacked the feature of key exchange renders it pointless and is of no use. The given proposed engineering of three way mechanism making it tedious for unauthorized personnel to break this security framework, therefore securing information put away in cloud.
Penggunaan Media Pembelajaran Pop-Up Book Dalam Keterampilan Berbicara Bahasa Jerman

. This study aims to determine the planning, process, and results of pop-up book learning media in the German speaking skills of class XI students of SMA Negeri 8 Makassar. This research is a classroom action research which consists of two cycles. The subjects of this study were students of class XI MIPA SMA Negeri 8 Makassar, totaling 30 students. This research data consists of two types, namely qualitative data and quantitative data. Qualitative data was obtained through observation while quantitative data was obtained through speaking skills tests in cycle 1 and cycle II. The results showed that the students' speaking skills in the first cycle were 77.91 and in the 85.62 cycle. These results indicate that the use of pop-up book learning media improves the German speaking skills of students in class XI MIPA SMA Negeri 8 Makassar.
Application Development for Mask Detection using Raspberry Pi

Abstract: In our daily life, humans are discovering new technology, and scientists also discovering new viruses. In recently scientists are discovered COVID-19 (coronavirus). COVID-19 pandemic has apace affected our everyday life-disrupting world trade and movements. Carrying a protecting mask has become a brand new tradition. Our planned technique detects the face from the video properly then it identifies if it's a mask wear on that or not. This project aims to develop a face mask detection system to detect any kind of face mask. The current study used OpenCV, Python, and Tensor Flow to detect whether a person wearing a face mask or not. The model was tested with real-time video streams. Keywords: Face mask detection, Face detection, mask detection, coronavirus, OpenCV, Tensorflow, Deeplearning
The optimization of statistical softwares in processing the medical data of health workers in public health centers

Insufficient use of Excel menus and formulas has been observed among certain medical personnel at Sokaraja 1 Health Center. Similar reports were also obtained for SPSS, QGIS and Rapidminer. The purpose of this study is to strengthen the use of statistical software by health workers to improve information management. An action research methodology was applied, subsequently the training was conducted using Google Meet and relevant statistical software e-module media, Ms Excel, SPSS, QGIS, and Rapidminer for 6 consecutive sessions. The results showed that knowledge and skills increased by 104 and 100%, respectively. These performances confirmed that the statistical software trainings were very significant in facilitating the operations of health workers, with enhanced knowledge and skills.
Recommendation System for Movie Cast and Crew using Datamining Algorithm

In this article, the data mining algorithms like apriori algorithm is used to suggest the best cast and crew to make a particular genre of movies so that the movie is successful. The data of cast and crew is extracted for which the users have given high average ratings and apply apriori algorithm to give recommendation. There are recommendation systems which gives the recommendation to the users so that the users can watch movies in which they are interested in. But there are no recommendation systems which gives the right information which is helpful for movie making. It is important to make good movies so that the viewers and entertained by it due to which the profit of the producers increases. This research work can be used by the movie makers to select the best cast and crew for the particular genre of movie.
Multiple classifier system for remotely sensed data clustering

The Multiple Classifier System (or classifier ensemble) is the consensus of different clustering algorithms that can provide high accuracy for the best partition and thus overcome the constraints of conventional approaches based on single classifiers. The MCS is divided into two stages: Partition creation and partition combining. The potential benefits of this methodology in unsupervised land cover categorization utilizing synthetic, composite, and remotely sensed data are investigated in this paper. Four clustering algorithms are used for the MCS's first step, and according to the WB index, the best-unsupervised classification is obtained. In the second stage, relabeling and, voting approaches are then applied. The MCS's experimental results outperform the individual clustering outcomes in terms of accuracy.
Analysis of Online Learning Evaluation of Social Science Education Study Program

Social Science Education Program as the most recent study program in the Faculty of Social Sciences with limited infrastructure and human resources, of course, online learning is a challenge, especially when new students in 2020 must immediately feel online learning where students still do not understand how the atmosphere of learning at the university level.The purpose of this study is to analyze the implementation of online learning in the Social Science Education Program in 2020/2021, to know the obstacles in online learning in the Social Science Education Program in 2020/2021, and to know students' perception of online learning in the Social Science Education Program in 2020/2021.The research method used in this research is qualitative research.The results of this study related to the implementation of online learning in the Social Education Program were conducted in Synchronous and Asynchronous manner.Obstacles in online learning include learning is still dominant yet interactive, student behavior is difficult to monitor, learning tends to be online assignments, the absorption of lecture materials is very limited and assessments and evaluations conducted by lecturers ranging from daily exams, midterm exams and final exams are less integrated, internet network constraints and internet quota load owned by students.
Peningkatan Teknologi Pendidik Pesantren Anak Sholeh melalui MEMRiSE: Coaching &amp; Training

Mastering technology improvement is something that educators have to continue to strive for on an ongoing basis. A teacher is required to master the use and applicate the science and technology development along the revolution industrial era 4.0. To continue improving the quality of self, a teacher needs to be given coaching and training. The training activity with the theme "Introduction to English Language Learning Technology at the Pesantren Anak Sholeh, a kindergarden and primary school in Ponorogo" was attended by Ustadz and Ustadzah of the Pesantren Anak Sholeh for PAUD and Elementary School levels with a total of 12 participants. The coaching and training was carried out on Saturday, August 7, 2021 by introducing MEMRiSE as a very easy learning application that children can do to improve their English and Arabic vocabulary. Participants were given the opportunity directly to practice downloading and trying the MEMRiSE application and practice it. Based on the results of the activities, participants showed high enthusiasm in practicing the use of MEMRiSE and stated the ease of learning to increase children's vocabulary. In general, educators at the Sholeh Children's Islamic Boarding School have carried out creativity and learning innovation using MEMRiSE. The results of the responses from the coaching and training participants also showed 100% that MEMRiSE was motivating, fun for learning and very effective in learning trough online in the covid-19 pandemic situation.
Pelatihan peningkatan kemampuan komunikasi bahasa inggris melalui co-trainers online program

English Communication skills are needed by every graduate, especially vocational school graduates because the purpose of forming a vocational school is to create a young generation at the beginning of the workforce who is able to directly enter and be absorbed by the world of work. The purpose of this training is to improve the English communication skills of students of SMK Kesehatan Citra Nusantara Klaten through the online Co-Trainers program. The subjects in this training are students of SMK Kesehatan Citra Nusantara Klaten class XII who have been selected. There are 30 students who have been selected as training participants. The implementation of this training is carried out by providing training to improve English communication skills for prospective Co-Trainers, which is divided into several stages, namely introduction, implementation, and evaluation. The implementation material in this training is divided into three points, namely photographs, questions and responses, and sort conversations. The result of this training is English communication skills improvement measured by an oral test conducted with pre-test and post-test. The post-test results show that students are able to explain and describe photos/pictures well, use prepositions in sentences, respond to questions well, and are able to practice short conversations. Suggestions for SMK English teachers to focus on mastering English communication.
Info-MIMBARDIK-Edutainment for March 2020's Edition

MIMBAR PENDIDIKAN: Jurnal Indonesia untuk Kajian Pendidikan (Indonesian Journal for Educational Studies). This journal, with ISSN 2527-3868 (print) and 2503-457X (online), was firstly published on March 11, 2016, by UPI (Indonesia University of Education) Press in Bandung and orgnized by the Lecturers of UPI Journal Developer Team. The MIMBAR PENDIDIKAN is a new version journal from the old journal with the similar name that was published since 1995 to 2005. This journal is dedicated not only for Indonesian scholars who concern about educational studies, but also welcome to the scholars of Southeast Asian countries and around the world who care and share related to the educational studies in general. The MIMBAR PENDIDIKAN journal is published twice a year i.e. every March and September.Bandung, Indonesia: March 30, 2020.Andi SUWIRTA, M.Hum.Managing Editor of MIMBAR PENDIDIKAN Journal; and Senior Lecturer at the Department of History Education FPIPS UPI (Faculty of Social Studies Education, Indonesia University of Education) in Bandung, West Java, Indonesia.
The Profile of Students' English Linguistic Intelligence: A Case Study at SMP Islam De Green Camp Tanjungpinang

This study aimed to know how is the profile of students’ English linguistic intelligence of rhetoric at SMP Islam De Green Camp Tanjungpinang. The subject in this research is the eighth grade that consisted of 21 female students. This study is based on Gardner’s theory (1998). A research design in this research is descriptive qualitative research with analysis technique. The setting of place in this research is at SMP Islam De Green Camp Tanjungpinang. The instruments in collecting the data are interviews and speaking tests. Based on the instruments, the researcher assesses students’ answers by a rubric that consisted of grammar, pronunciation, vocabulary, fluency, and comprehension. The result shows that the total score is 61.9 and from the criteria of the rhetoric on speaking, the students’ English linguistic intelligence of rhetoric at SMP Islam De Green Camp Tanjungpinang is good.
THE IMPLEMENTATION OF LEARN TO SPEAK ENGLISH SOFTWARE AS A MEDIA FOR IMPROVING THE STUDENTS’ SPEAKING SKILL (AN EXPERIMENTAL STUDY AT POLITEKNIK LP3I MAKASSAR)

The objectives of this research were: to find out whether or not the use of Learn to Speak English software improves the students’ speaking skill. This research employed Quasi Experimental design. The sample consisted of 32 students of third semester of business administration, Politeknik LP3I Makassar in academic year 2019/2020. The data were collected through speaking test for the students’ speaking skill, Data on the students’ speaking skill were analyzed using descriptive and inferential statistics, the results of the research were: The use of Learn to Speak English software in teaching speaking improved the students speaking skill, It can be concluded that the use of Learn to Speak English software is effective to be implemented in improving the students’ speaking skills in terms of fluency and lexical resource.
Reversible Data Hiding with Contrast Enhancement Based on Laplacian Image Sharpening

In 2014, Wu et al. proposed a reversible data hiding method with contrast enhancement (RDH-CE) that emphasized that the visual quality of the image was more important than having a high peak signal-to-noise ratio (PSNR). But this method focused only on global enhancements and ignored the details. There were more obvious distortions of the visual image as the embedding level increased, and embedding capacity was relatively low when the embedding level was small. Therefore, in this paper, we proposed a new RDH method with contrast enhancement based on Laplacian sharpening. First, the details of the edges of images and the clarity of images were emphasized by Laplacian sharpening, and the visual distortions of the images were reduced by sharpening scale factor. Then, the embedding capacity was increased by combining the difference expansion and digital inverse transformation to apply the operator to all of the pixels in the image. The experimental results demonstrate the effectiveness of the proposed scheme.
Enterprise Risk Management Post Solar Winds Hack

Along with the rising demand for companies to facilitate business functions more efficiently, information technology has increasingly become a vehicle to bring about the convenience and efficiency that companies require to promote effective business operations. With such reliance upon information technology solutions comes the potential for companies to become more vulnerable to possible security incidents with their increased reliance upon third-party vendors for software solutions. This paper seeks to explore the software company SolarWinds and analyze its 2020 security breach. This paper will discuss how the SolarWinds breach occurred, how IT Security Professionals perceived it, and the vulnerabilities within the SolarWinds system before the breach. It will also analyze and evaluate the lessons learned from the SolarWinds breach and explore security measures implemented after the attack
A Deep Learning based Approach to Argument Recommendation

Code completion is one of the most useful features provided by advanced IDEs and is widely used by software developers. However, as a kind of code completion, recommending arguments for method calls is less used. Most of existing argument recommendation approaches provide a long list of syntactically correct candidate arguments, which is difficult for software engineers to select the correct arguments from the long list. To this end, we propose a deep learning based approach to recommending arguments instantly when programmers type in method names they intend to invoke. First, we extract context information from a large corpus of opensource applications. Second, we preprocess the extracted dataset, which involves natural language processing and data embedding. Third, we feed the preprocessed dataset to a specially designed convolutional neural network to rank and recommend actual arguments. With the resulting CNN model trained with sample applications, we can sort the candidate arguments in a reasonable order and recommend the first one as the correct argument. We evaluate the proposed approach on 100 open-source Java applications. Results suggest that the proposed approach outperforms the state-of-theart approaches in recommending arguments.
StarCraft strategy classification of a large human versus human game replay dataset

Real-time strategy games are popular in AI research and education.Among them, Starcraft: Brood War (SCBW) is particularly well known.Recently, the largest known SCBW game replay dataset STARDATA was published.We classify player strategies used in the dataset for all 3 playable races and all 6 match-ups.We focus on early to mid-game strategies in matches less than 15 minutes long.By mapping the classified strategies to replay files, we label the files of the dataset and make the labeled dataset available.
An Analysis of Attitude and Graduation of Evaluative Language Produced by Mike Chen as A Food Vlogger in YouTube

In general, culture is believed to be the identity of a nation and culture influences human thought patterns and speech acts. This study aims to explain and find out the evaluative language produced by a food vlogger (video blogger) or YouTube user with the content about reviewing food. The object of this study is Mike Chen who was born in China. The method used in this research is a descriptive research. In this study the evaluative language produced by Mike Chen is presented by using appraisal theory. The source data of this research was obtained from five videos of Mike Chen YouTube account. All utterances produced by Mike Chen were transcribed into text as data analysis. The finding of this study revealed that the most prominent aspect in the attitude element is the appreciation and the most prominent aspects in the graduation element are intensifier and metaphorical.
Application Of Diadynamic Currents To Reduce Pain

Background: Pain has become a separate complaint or disease, not only as a means of protecting the body or a symptom of other diseases. With increasing age, a person will experience a decrease in physiological functions that can affect the system in the body. Diadynamic currents are part of electrecal stimulation which has a low frequency function to reduce pain.Methods:This is an experimental research with a quantitative approach. The sampling technique used nonprobability sampling based on the inclusion and exclusion criteria. The data analysis used was non-parametric statistics, namely by using the Wilcoxon signed rank test.Results: Based on the result of the Wilcoxon test showed that the value. Sig. is 0.000, which is less than 0.05. By giving a diadynamic current, the pain felt by someone will be reduced.Conclusion: diadynamic currents can be used to reduce pain
Conceptual foundations for the formation of social competence of high school students

The ability or inability of high school students to cope with a variety of social problems and to realize themselves in the society due to their solution indicates availability or lack of social competence.The article presents the essence, framework, functions and conceptual regulations of the formation of social competence of high school students.Social competence of high school students is presented as an integrative characteristic of high school students and acts as the result of education.Three components form the framework of social competence of high school students: motivational and valued, cognitive and operational.The formation of social competence of high students is realized in the school educational space by means of solving social tasks of individual-personal, public, life-futurological content.The conceptual regulations of the formation of social competence of high school students are presented by values, patterns, principles and norms.Practical significance of the proposed conceptual foundations lies in the fact that it provides an increase in the high school student's subjectivity in the course of formation of social competence by means of identifying his position, self-development and self-realization in school educational space solving social tasks lying in the field of social significance, personal orientation and life prospects.
EVALUASI PENGUKURAN WEBSITE LEARNING MANAGEMENT SYSTEM MENGGUNAKAN METODE WEBQUAL 4.0 PADA SMK NEGERI 2 KURIPAN

This study aims to evaluate the measurement of service levels and user satisfaction of theLearning Management System of SMK Negeri 2 Kuripan using the WebQual 4.0 method. To find outand identify the significant influence of the Learning Management System service quality on service qualityand user satisfaction with perceptions measured using the variables approach in WebQual 4.0.This study uses the Learning Management System website object at SMK Negeri 2 Kuripanwith the www.smkn2kuripan.id page, with a sample of 204 respondents, namely teachers and students.the method used to evaluate the calculation of perception with the WebQual approach and variables aswell as the calculation of multiple linear regression analysis and science.&#x0D; The results of the study indicate that there is a positive and significant and insignificantrelationship between the variables of website service quality. level of satisfaction. and intensity of use thatform the conceptual model of the study. So to improve service quality and user satisfaction. it is necessaryto maintain consistency in service performance by conducting periodic evaluations and perceptualinteractions with users. And what needs to be considered is related to the ease of Usability. InformationQuality. and Service Interaction Quality on the website. The results of the research are expected to helpthe website manager of SMK Negeri 2 Kuripan to evaluate improvements and develop service qualityimprovements based on user responses/perceptions in accordance with the expectations of users of SMKNegeri 2 Kuripan.
Research on the Construction of Intelligent Expert System

In recent years, how to carry out the digital transformation of securities companies is the core research issue of both academia and industry.Starting with the basic problems such as financial big data governance and the related system platform construction, this paper gradually clarifies and discusses the misunderstanding, development positioning, and design points that exist in the process of FinTech construction by securities companies.On this basis, this paper starts from the wealth management business of securities companies and systematically proposes methods and processes for artificial intelligence technology to be embedded in related businesses in terms of the needs of the company and customers, product design, and implementation architecture, etc., to realize the FinTech-enabled digital transformation of securities companies.Finally, based on the perspective of top-level design and data-driven, this paper defines the connotation of the intelligent expert system.From key nodes such as model design, technology application, and risk control, we also propose policies to promote the development of digital management of securities companies.In addition, this paper also looks forward to the future development of the intelligent expert system.