Reviewerly/exHarmony huggingface dataset:
Application of the Case Based Learning (CBR) Method to Diagnose Conjunctivitis

Conjunctivitis is an inflammation of the conjunctiva or the outer layer of the eye and the inner lining of the eyelids caused by micro-organisms or viruses, bacteria, fungi, chlamydia, allergies, irritation of chemicals. The problems that arise start from common symptoms that are often shown or are shown by eye diseases such as redness of the eye area and then cause pain and soreness. Diagnosis can be made by an ophthalmologist. In addition, to diagnose eye diseases, an expert system can also be used to pour expert knowledge into an expert system, thus helping diagnose eye diseases. The research objective is to analyze a desktop-based expert system program that contains the knowledge of a trusted expert/doctor who has the ability to be able to diagnose the disease from the eye disease symptoms felt by the patient quickly and precisely. The stages of research carried out in this study include literature study, data collection, system design, system creation, system testing. In addition, the authors developed using the Case-Based Reasoning (CBR) method, which is one method of building an expert system by making decisions from cases with the solution of previous cases to determine the type of conjunctivitis.
Analisis Kesalahan Konjugasi Dalam Karangan Sederhana Bahasa Jerman

Abstract. The study aims to determine the types of conjugation errors of students in XI MIPA 3 class simple German-language essays. The type of research is descriptive and qualitative. The analytical method used is the error analysis method proposed by Ellis. The data of this research are simple essays written by students that contain conjugations. The data source of this research were students in XI MIPA 3 of SMAN 1 Polewali, which amounted to 30 students. Data were collected through a German writing test. The results of the data analysis showed that there were 86 errors of conjugation that appeared in the test. In Schwache Verben there are 17 types of errors and in Starke Verben there are 11 types of errors
PASSIONARY SCHOOLS AS A GENERATOR AND TRANSLATOR OF SCIENTIFIC AND CREATIVE POTENTIAL OF YOUNG RESEARCHERS

The article notes the need to integrate education, industry and science. The concepts of "passionarity", "scientific schools" are analyzed. The concept of "passionarity of a scientific school" has been clarified. It is indicated that scientific schools play a special role in the formation of civil society; that they create conditions for increasing the creative potential, social activity and intellectual development of the personality of the student, the researcher-passionary. The types of activity are distinguished: research, civil, design, etc., in which the passionarity of representatives of scientific schools, young researchers is manifested. Analyzed the research devoted to the development of the constructive passionarity of the individual. The features of scientific schools, the patterns of formation of scientific schools, the main directions of the activities of scientific schools are highlighted. Information about scientific and creative forums in the Chelyabinsk State Institute of Culture, dedicated to scientific schools is presented.
Increasing Academic Performance Through Android-Based Accounting Cycle Learning Applications

This aims of this study is to develop an android-based accounting cycle learning media.On the previous year, has developed learning media that are declared feasible to use by expert judges.This year, the research continued with field testing on accounting students who is taking introductory accounting courses.This study examines differences in academic performance as seen from student learning outcomes and motivation.The research method uses an experiment with a post-test control group design.The data analysis technique used descriptive statistical analysis and the Mann Whitney test.The test results show that the experimental class learning outcomes are better than the control class with an average value of 71.9 > 63.4.Likewise, learning motivation showed a significant difference.This study shows that the use of technology-based learning media can improve the performance of learning outcomes and make learning more interesting and fun.
Student Responses to The Application of The Number Head Together Learning Model in Physics Subjects

The NHT (Number Head Together) learning model is a learning model that has a structure designed to influence student interaction patterns. The NHT learning model emphasizes students to work together in finding, processing, and reporting information. This model can make students more communicative during the physics learning process. The use of conventional learning models will generally make students bored and uninterested in learning physics. In physics subjects, teachers generally use conventional learning modelsStudents' boredom will arise when learning using conventional models. The purpose of this study was to describe students' responses to the application of the NHT type cooperative learning model. The benefit of this research is to know the student's response to the application of the NHT type of cooperative learning model, as well as the application of the NHT type of cooperative learning model in physics learning. This study used a mixed method research design. The data in this study were analyzed using the triangulation method. Data were collected through interviews, observation, and documentation. The subjects in this study were high school students. The results showed that some respondents responded quite well to the application of the NHT type of cooperative learning model in physics learning, and some of them responded well to the application of the NHT type of cooperative learning. In learning physics, the use of learning models affects the continuity of the teaching and learning process which will have an impact on the knowledge and learning outcomes possessed by students.
Android-Based Digital Book Oriented to Multiple Chemical Representations on Terpenoid Learning Materials

This research aims to describe and analyze the application results of the developed digital book oriented to multiple chemical representations. The method employed in this research was the Design-Based Research (DBR) method with the ADDIE development model. The ADDIE development Model consisted of five stages to analyze, design, and develop a product. These stages covered the analysis of terpenoid material, the analysis of multiple representations of terpenoid material, and digital book design and development. The instrument used was a validation test questionnaire filled out by three validators. The result of this research is an Android-based digital book oriented to chemistry's multiple representations. The obtained robserved value was 0.83. Therefore, the developed digital book was declared valid and can be used as teaching material in the Natural Product Chemistry course.
METODE PROBLEM BASED LEARNING (PBL) PADA PEMBELAJARAN SIMULASI KOMUNIKASI DIGITAL KELAS X Di SMK YOSONEGORO MAGETAN

&lt;span id="docs-internal-guid-9bfcab62-7fff-bdab-8ce3-9fcf1f94d23f"&gt;&lt;span&gt;Many cases show that many student learning outcomes are unsatisfactory and many student scores are below the predetermined KKM (Minimum Completeness Criteria), this is because the success of the teaching and learning process, especially educational programs is influenced by various factors, namely internal and external factors. Of the two factors, the main ones are interests and factors from the surrounding environment, so that students become bored, and the class becomes passive. The purpose of learning simulation and digital communication at SMK Yosonegoro directs class X TAV students to have a desire to understand, learn good learning needs, so they are willing to use and find the best learning resources in order to solve the problems they face. The problem based learning method is felt to be able to liven up the atmosphere in the classroom, because students are required to solve a problem and the teacher as a facilitator.&lt;/span&gt;&lt;/span&gt;
The Effectiveness of Draw Label Caption Strategy in Teaching Writing for EFL Students

Abstract &#x0D; This research was aimed to find out whether or not the Draw Label Caption is effective toward students’ writing skill. The research was experimental research and the design used was pre-experimental with pretest-posttest design. The population of the study was the second year students of SMA Hang Tuah Mataram which consisted of one class (28 students). One class was chosen by using simple sampling technique and the result of test was distributed obtain the research data. In analyzing the data was used t-test formula. The findings showed that t-test was (4.875) &gt; t-table (2.052) at the significant level = 0,05 (95%) and N=28 students. It means that, Alternative hypothesis (Ha) is using Draw Label Caption toward students’ writing skill at the second year students of SMA Hang Tuah Mataram in academic year 2019/2020 was accepted. It could be concluded that there was significant effect of Draw Label Caption toward student’s writing skill at second year student of SMA Hang Tuah Mataram.
Corpus-based analysis of Russian translations of Animal Farm by George Orwell

The phenomenon of multiple translations of same classical works has been discussed extensively since the 18th century. The dominant approach is to study retranslating as a cultural, not a linguistic, phenomenon. For unknown reasons, little use has been made of corpus data in research on this topic, although corpora of retranslated texts would seem to be a natural source of empirical data. Studying multiple translations with the help of corpus-based methods makes it possible to obtain the general picture of the data and to find its critical points. In this chapter, six Russian translations of George Orwell’s Animal Farm are studied. The translations are compared against an unedited machine translation of the same text. Multidimensional scaling of the frequency-list-based distance matrix was performed. The analysis demonstrated that the most frequently republished translations are the most distant from the MT. The keyword analysis of the translations confirmed the findings of the MDS analysis and gave concrete clues on the lexical items typical for certain translations.
Letting Them Get On With it: A Study of Unsupervised Group Talk in an Infant School

The language of young children has been the subject of many studies. In the school where this research took place people were aware of the importance of speech, believing that classroom organization should include opportunities for children to discuss problems, think aloud, and work together in groups. The children selected, three girls and three boys, came from two parallel classes of 6-7-year-olds. They were given a simple explanation about the reasons for the project. A form of categorization system was developed and used to avoid making false assumptions. During the project the tasks were presented in various ways. In classroom discourse it is usually teachers who select which speaker shall contribute. The discussion started with Victoria as the only participant who had solved the problem.
Effectiveness of Competency Based Online Learning: Improving Listening and Speaking in Contextual Oral Language Skills Course

This study was to determine the effectiveness of online learning implementation in improving students' listening and speaking skills in Contextual Oral Language Skills course.It was research and development (R&D) research.The subject of this study were the students of semester 3 from two different classes.The effectiveness can be seen by treatments done and by distributing questionnaire to know the students' perspective about the effectiveness of Google Classroom and Zoom, and measured students learning outcomes.The result found that there were 96.8% students who agreed learning became more flexible with Google Classroom, and 73.8% students be more active in learning process using Zoom.Furthermore, students learning outcomes were higher than the minimum standard of mastery learning (KKM) which totally for listening was 85.42, and speaking was 83.74.The conclusion was online learning has an effectiveness to the students' improvement in speaking and listening skills through Google Classroom and Zoom.
Identification of beef and pork using gray level co-occurrence matrix and probabilistic neural network

Objective: Identify images of beef and pork using texture feature extraction Gray Level Co-Occurrence Matrix and Probabilistic Neural Network classification algorithm.Design/method/approach: Apply texture feature extraction to Gray Level Co-Occurrence Matrix and Probabilistic Neural Network Classifier to perform classification.Results: From the test results with k-fold cross-validation and confusion matrix, it shows that feature extraction of Gray Level Co-Occurrence Matrix and Probabilistic Neural Network Classifier get an average accuracy of 87%, precision 83%, and recall 90%.Authenticity/state of the art: In this study, several scenarios were tested, namely the effect of using resize, brightness, and rotate values. Using a resize value of 256 x 256 pixels from the test results got the best accuracy of 87%. The brightness test of 20% affects the accuracy rate of 86% on increasing brightness and 90% on reducing brightness. In contrast, the test on the rotated image does not affect the accuracy results. The average accuracy obtained is 87%. The data in this study were obtained by collecting primary data on images of beef and pork in several markets in Denpasar.
MECHANISMS FOR IMPROVING THE QUALITY OF SOCIAL WORKERS’ TRAINING

In the context of the environment approach, the social professionals’ training is seen as a holistic system, the components of which are interconnected. It has been found that improving the quality of social professionals’ training, in particular social workers, can be ensured by developing and introducing strategies for building the educational environment of the university. Social innovations are presented as an important resource for developing the social workers training that contribute to the innovative educational environment development of the university. The article notes that the values of the innovative educational environment of training are the norms of all participants interaction in the educational process, and strategies become the basis for improving the social workers’ training. A critical analysis of the possibilities of highlighting strategies for building an innovative educational environment of the university was carried out: partnership between all participants in the educational process and specialists in social institutions; engaging teachers in innovation; support the process of mainstreaming the future social workers’ innovative potential. The article presents the professional training should be aimed at the social specialist development capable of introducing innovations of social work, taking into account the clients’ needs and the realities of modern practical activities. Emphasis is placed on the importance of developing appropriate scientific and methodological support for the social workers training.
Human Actions and Hand Gesture Recognition with Deep Learning

Over recent times, deep learning has been challenged extensively to automatically read and interpret characteristic features from large volumes of data. Human Action Recognition (HAR) has been experimented with variety of techniques like wearable devices, mobile devices etc., but they can cause unnecessary discomfort to people especially elderly and child. Since it is very vital to monitor the movements of elderly and children in unattended scenarios, thus, HAR is focused. A smart human action recognition method to automatically identify the human activities from skeletal joint motions and combines the competencies are focused. We can also intimate the near ones about the status of the people. Also, it is a low-cost method and has high accuracy. Thus, this provides a way to help the senior citizens and children from any kind of mishaps and health issues. Hand gesture recognition is also discussed along with human activities using deep learning.
ANALISA DAN PERANCANGAN SISTEM INFORMASI PENGELOLAAN DATA ALUMNI STMIK WIDURI BERBASIS WEB

Rapid developments in the field of information and communication technology have an impact on various fields. One application of technology applications is a web-based alumni data management information system. The existence of alumni is one of the resources for an educational institution that must be embraced and developed as well as possible in order to take advantage of alumni opportunities to the institution. STMIK Widuri, especially the student affairs unit, does not yet have an information system that supports the alumni data management process, and there is no clear report on the STMIK Widuri alumni data. The purpose of this study is to analyze the ongoing alumni data management process, find out how to make alumni data reports more accurate, and design a web-based STMIK Widuri alumni data management application. The author conducts a document review step through a literature study taken from a research journal similar to this study, the author makes direct observations on the object of research, and the author conducts interviews with related parties to explore the issues raised in this study. With this information system, it can make it easier to make STMIK Widuri alumni data reports that are more accurate and faster and can facilitate student units in managing and storing STMIK Widuri alumni data properly.
Elliptic Curve Digital Signature Algorithm for the Third Party Auditing

Cloud computing usage has been highly increased in past decades, and this has many features to effectively store, organize and process the data. The major concern in the cloud is that security is low and user requires verification process for the data integrity. Third Party Auditing (TPA) technique is applied to verify the integrity of data and various methods has been proposed in TPA for effective performance. The existing methods in TPA has the lower performance in communication overhead and execution time. In this research, Elliptic Curve Digital Signature (ECDS) is proposed to increase the efficiency of the TPA. Bilinear mapping technique is used for verification process without retrieving the data and this helps to reduce the communication overhead. The performance of ECDA is measured and compared with the existing method to analyze the performance.
Research on the Path and Countermeasures of Higher Vocational Teachers' Quality Improvement Promoted by Industry Research

Industrial research for the purpose of talent training is one of the important ways to change the current irrational structure of teachers in my country's higher vocational education system. Aiming at the current shortage of practical skills among teachers in higher vocational colleges, the necessity of industrial research to promote the development of higher vocational education in my country is analyzed. On this basis, a strategic framework for higher vocational teachers to conduct industrial research for the purpose of vocational talent training has been constructed from the five fundamentals which are industry needs, industry frontiers and development trends, work tasks and processes, professional standards, and professional qualifications.
Certain Types of Linear Codes over the Finite Field of Order Twenty-Five

The aim of the paper is to compute projective maximum distance separable codes, -MDS of two and three dimensions with certain lengths and Hamming weight distribution from the arcs in the projective line and plane over the finite field of order twenty-five. Also, the linear codes generated by an incidence matrix of points and lines of were studied over different finite fields.
e-commerce cybersecurity vulnerability, http protocol case

This paper was designed with the intention of analyzing the vulnerability of e-commerce web sites. We are going to describe the transmission of data in clear text without encryption by hypertext transfer protocol (HTTP), reason why we argue that by means of a sniffer technique this information can be captured and this way violating customer privacy information.
Ethics of Information Technology in the Context of a Global Worldview

The present scientific paper outlines in today’s contempo­rary world - where everything is as it seems at first glance, subordinated to the economy, technology and politics are essentially ruled by ethics, value attitudes, which in that or otherwise find embodiment for purposes activities. After all, the question of goals, intentions is the question about values. The paper underlines that modern information technology has sharpened the problem of the values of the human spirit and choice further path of our world civilization. Everyone remembers the 20th century with its socio-cultural contradictions. And the scale of the achievements, and the scale of destruction committed by people in the twentieth century, incomparable with any other times in its history. The present paper emphasizes that if we want to keep human moral values in the information sphere, then is the technology itself sufficient for this, creating suitable programs forcing save them? Of course, working in networks and not consider off-grid the laws impossible. The paper concludes that what will this process lead to, hard to say. One thing is clear now: interacting with a digital computer, we inevitably become different. Society becomes others. And to regret it is nostalgia for past, it is sweet - meaningless. Like us modern peace or not - but this is reality life, and of them desirable proceed if we want to impact on construction our future
Facial Expression Identification using Regularized Supervised Distance Preserving Projection

Facial expression recognition is one of the most reliable and a key technology of advanced human-computer interaction with the rapid development of computer vision and artificial intelligence. Nowadays, there has been a growing interest in improving expression recognition techniques. In most of the cases, automatic recognition system’s efficiency depends on the represented facial expression feature. Even the best classifier may fail to achieve a good recognition rate if inadequate features are provided. Therefore, feature extraction is a crucial step of the facial expression recognition process. In this paper, we have used Regularized Supervised Distance Preserving Projection for extracting the best features of the images. Numerical experiment shows that the use of this technique outperforms many of state of art approaches in terms of recognition rate. Dhaka Univ. J. Sci. 69(2): 70-75, 2021 (July)
Ways of organizing the educational process in elementary school based on the project-research form of educational activity

This article examines the ways of organizing the educational process in primary school on the basis of the project-research form of educational activity. The relevance of this topic lies in the search and application of the design and research form of educational activity in primary school, where the main task of teachers is to quickly adapt to modern projects and the ongoing changes in updated learning. The XXI century is called the century of high or digital technologies. Creative, active, fast-learning and inquisitive people are in demand in any industry. The modern system of updated education develops children's research and cognitive structure of activity. Therefore, in the educational program, in almost every country, adjustments are made for the development of students' abilities, based on research and cognitive activity, where one of the first steps is primary school.