Reviewerly/exHarmony huggingface dataset:
SISTEM PAKAR FORWARD CHAINING , FUZZY-MAX DAN CERTAINTY FACTOR AYAM PEDAGING

Chicken farming is one of the promising business potentials, but in management and care, it is very important to determine the success of chicken farming. Often in the care of negligent employees so that they are exposed to disease outbreaks. With various types of diseases that attack the symptoms are very similar and even the same as other diseases, therefore an expert system can be used to diagnose a disease by looking at the characteristics of the disease suffered, and how the solution is to treat or prevent the disease In the study, it discusses 8 types of broiler diseases, where the expert system method used is the Fuzzy Max method, Forward Chaining, and Certainty Factor. From the results of the Fuzzy Max method, the results showed an accuracy of 80% - 90% for all types of diseases, while the Certainty Factor method showed 96% - 99% for all types of diseases.Keywords— Expert System, Fuzzy Max, Certainty Factor, Forward Chaining.
The Use of Cohesive Devices and Factors Influence Unsuccessful Coherence in Community-Based Tourism Text

As a complex process, writing is always interesting to be discussed. One of the students' biggest problems in writing is in maintaining coherence. Coherence is a systemic model to unify some elements to become good writing. This article aims to identify the most cohesion type used by the students and factors that influence the unsuccessful coherence of the text. This is a descriptive qualitative research. The data were obtained by collecting descriptive text written by thirteen English Diploma Program students. The unit of analysis in this study is a community –based tourism text which describes tourism villages in Banyumas Regency, Indonesia. The writers take Community-Based Tourism (CBT) as the unit of analysis because the government right now is developing CBT in many areas in Indonesia. As an important stakeholder, the University must prepare the students to write good descriptions of CBT. The result of this study shows most of the students use reference, reiteration, and conjunction in their writing but they have very minimal use of ellipsis, substitution, and collocation. The writers found that some of the students' sentences have successful integration, but some have not successful integration. There are several factors influence unsuccessful integration. Those are students' prior knowledge, inappropriate use of cohesive devices, and illogical sequence. Finally, we can conclude that the students need more guidance and knowledge of using effective writing, cohesive devices and logical sequence.
PERANCANG SISTEM PAKAR DIAGNOSIS KERUSAKAN PERANGKAT KERAS MENGGUNAKAN POHON KEPUTUSAN

The development of computer technology is also followed by the increasing number of computer users in the world. Along with the increasing number of computer users, the problem of computer damage has become quite a complicated problem. This is understandable considering the number of computer users who lack knowledge about computers, especially in dealing with computer damage. In addition, the limited memory and knowledge of a technician about computer damage can cause errors or inaccuracies in diagnosing the damage. In designing this system the approach method used is structured oriented with the system development method used is a prototype model. The supporting software used to design a food menu ordering information system is Power Designer, Bizagi Modeler, Balsamiq, and Microsoft Visio. The final result of this activity is in the form of an expert system design report to diagnose web-based hardware damage. With the expert system created, it is expected to be able to overcome errors in determining damage caused by the limited memory of technicians.
Technology of the organization and experience of the pedagogical olympiad

The article deals with the problem of organizing and conducting a pedagogical Olympiad for students. The theoretical foundations of the organization of Olympiads in pedagogy, disclosed in the scientific literature, are presented. The purpose of the article is to determine the essential characteristics of this form of extracurricular work with students, the organizational conditions that are important for solving the problems of modern higher education. The article describes the technology of preparation and implementation of the Pedagogical Olympiad in a higher education institution focused on the training of a competent specialist: the stages of activity, the purpose and objectives, competitive tasks and the tool for their evaluation, organizational conditions. The article presents the experience of conducting such an extra-university event at the Novosibirsk State Pedagogical University. The description of the Olympiad tasks developed taking into account the competence approach and in the context of innovative technologies of teaching in higher education is given. The methodological foundations of the organization are revealed.
Features of the Organization of Dialogue Between the Teacher and Students in the Class of Variety Vocal at the University During the Period of Preparing the Student for Participation in the Executive Competition

The article analyzes the specifics of one of the most important components of communication between the teacher and students in any musical performing class - dialog. The author proposes to consider dialog as an extremely effective tool to unleash the student's creativity and consistently proves the particular difficulty of acquiring the art of dialog in the classrooms of variety vocals, the class of training of performers in the most competitive sphere of music culture. The author also argues that the process of preparing a student to perform an arts vocal competition is the most difficult component of the training from a psychological point of view, as this process exacerbates the already highly expressed component of competition in this performance, which increases the psychological burden on the student. Further, they are offered methodological recommendations on the organization of a dialog during the preparation of the contest as a means of reducing the level of psychological pressure and stress and at the same time being able to lead the student to correct setting and purposeful setting within the forthcoming competition.
Performing Arithmetic Operations Over the (L–R)-Type Fuzzy Numbers

The issue of constructing a system of rules to perform binary operations over fuzzy numbers has been formulated and considered. The set problem has been solved regarding the (L–R)-type fuzzy numbers with a compact carrier. Such a problem statement is predetermined by the simplicity of the analytical notation of these numbers, thereby making it possible to unambiguously set a fuzzy number by a set of values of its parameters. This makes it possible, as regards the (L–R)-type numbers, to reduce the desired execution rules for fuzzy numbers to the rules for simple arithmetic operations over their parameters. It has been established that many cited works provide ratios that describe the rules for performing operations over the (L–R)-type fuzzy numbers that contain errors. In addition, there is no justification for these rules in all cases.In order to build a correct system of fuzzy arithmetic rules, a set of metarules has been proposed, which determine the principles of construction and the structure of rules for operation execution. Using this set of metarules has enabled the development and description of the system of rules for performing basic arithmetic operations (addition, subtraction, multiplication, division). In this case, different rules are given for the multiplication and division rules, depending on the position of the number carriers involved in the operation, relative to zero. The proposed rule system makes it possible to correctly solve many practical problems whose raw data are not clearly defined. This system of rules for fuzzy numbers with a compact carrier has been expanded to the case involving a non-finite carrier. The relevant approach has been implemented by a two-step procedure. The advantages and drawbacks of this approach have been identified.
Commentry On Geostatistics

Despite Associate in Nursing ever-increasing range of spaceborne, airborne, and ground-based knowledge acquisition platforms, remote sensing knowledge square measure still usually spatially incomplete or temporally irregular. Whereas settled interpolation techniques square measure usually used, they have an inclination to form phantasmagoric abstraction patterns and usually don’t give uncertainty quantification.
Development of Consumers Management System via Face Classification

To improve consumer experience and overall retail management, physical retailers may adapt consumer behaviour management systems using artificial intelligence to imitate the capability of consumer behaviour tracking in online shopping into physical retail. The proposed consumer behaviour management system consists of two parts - face recognition and consumer tracking at an area of interest. Both will be combined to produce a summary of individual customer’s visits to the shop. This information can be used to improve consumers experience and optimize retailer’s management. The developed system can track consumers’ movement inside the shop and summarize their whereabouts according to areas of interest. The face classification system via FaceNet has around 56.67% accuracy with 27.89% mean confidence. The tracking performance shows a consistent performance with a total standard deviation of 4.36 seconds. With the consumers’ analysis graph, retailers may pinpoint which area that was always frequented by their customers and take suitable actions with that information
SIMULATION OF RECOGNITION METHOD OF DAMAGED PARTS OF HIGH-INTENSITY SPORTS INJURY IMAGES

ABSTRACT Introduction: When athletes are performing sports training, many movements are of high intensity, and that training is repetitive, resulting in wear and tear on some injured parts. Objective: Sports athletes can damage parts of the body in high - intensity exercise. During the processing, it is necessary to identify and analyze the damaged parts in the image. However, the current relevant methods have low accuracy and different problems of efficiency and quality. Methods: In this paper, a Fish Swarm Algorithm is proposed to identify high-intensity motion damage images. According to the combination of adaptive threshold and mathematical morphology, the contour of the damaged part of the image is extracted. Results: The above-mentioned method can improve the accuracy of identifying damaged parts of sports injury images, shorten the recognition time, and has certain feasibility in determining sports injury parts. Conclusions: This method can be widely used in high-intensity sports injuries. Level of evidence II; Therapeuticstudies - investigation of treatment results.
PENULISAN KONSONAN RANGKAP (SOKUON) PADA BAHASA PERCAKAPAN DALAM KOMIK BAHASA JEPANG

Double Consonant writing in Japanese marked by Hiragana or Katakana written (?/?). Sokuon has been used many in daily comic conversation to emphazise or strengthen the speech. As the consequence, the outcome of Japanese written becomes unstandard since there is morphologically change. That is why a research has been done using comic titled Crows volume 1 by Takahashi Hiroshi to represent Japanese Comic that generally has the same sokuon written structure in daily conversation. Analysis result shows there is 1 sokuon written in the beginning, 7 sokuons in the middle, and there area 17 sokuons in the end, also there area 16 sokuons in between 2 words. Those data has been analyzed using The Prominen Theory and The Shukuyaku-kei Formation Theory. Future expectation is to expand this research through other aspect of speech that use sokuon seen from the context and function aspect.&#x0D; &#x0D; Keywords: Double Consonant, Sokuon, Daily Language Communication, Comic.
Using 4MAT Model to Develop Frist Primary Pupils` Creative Thinking Skills in science

AbstractThe present study aimed at tackle this problem by investigating the effectiveness of using 4MAT model for developing the preparatory stage pupils' creative thinking skills in science.Atest of creative thinking skills in science) was developed. The participants consisted of 89 first-grade preparatory stage pupils who were divided into 49 for the experimental group and 40 for the control group.Two instructional units entitled Material and its structure as well as energy included in the first-grade preparatory stage pupils' science book were modified and taught to the experimental group pupils according to 4MAT model. The control group received regular instruction. The findings showed that: There are. statistically significant differences at 0.01 between the experimental group pupils mean scores and those of the control group in the post-administration of the creative thinking test as a whole and at each one of its skills, in favour of the experimental group.
Stochastic Actor-Executor-Critic for Image-to-Image Translation

Training a model-free deep reinforcement learning model to solve image-to-image translation is difficult since it involves high-dimensional continuous state and action spaces. In this paper, we draw inspiration from the recent success of the maximum entropy reinforcement learning framework designed for challenging continuous control problems to develop stochastic policies over high dimensional continuous spaces including image representation, generation, and control simultaneously. Central to this method is the Stochastic Actor-Executor-Critic (SAEC) which is an off-policy actor-critic model with an additional executor to generate realistic images. Specifically, the actor focuses on the high-level representation and control policy by a stochastic latent action, as well as explicitly directs the executor to generate low-level actions to manipulate the state. Experiments on several image-to-image translation tasks have demonstrated the effectiveness and robustness of the proposed SAEC when facing high-dimensional continuous space problems.
Ontology-Based Recommender System of Online Courses

Nowadays it is observed that everyone is learning new things to progress in their career through the internet and online courses. Online courses are the best source of learning, and it is helping students, graduate students, and employees to enhance their knowledge and skills. With the increased information on the internet about online courses, it has made it difficult for the learners to make decisions on courses that meet their requirements. A wide range of online courses are available on the internet from different organizers or providers and finding information regarding online courses from many websites is a challenging and time-consuming process. Therefore, we developed an ontology with a common knowledge base that provides a recommendation to help the learners to select the most appropriate course depending on their requirements. For this purpose, classes (subclass and superclass) and their properties (object properties and data properties) with constraints (facets) were defined depending on the scope and domain specified by the Competency Questions (CQs). Next, the ontology was populated with instances to test and check the consistency of the ontology with the reasoner. After testing and querying the ontology using SPARQL in protégé, it is concluded that the ontology developed is consistent and perfectly meets the requirements which were defined by domain to answer the CQs. With this kind of ontology, one can find interesting courses with different categories and get recommendations on courses based on requirements. For the future scope, ontology can include more categories of courses and real instances for a better recommendation.
Ternary code with summation in an asymmetric number system for the synthesis of controllable and self-checking digital systems

An approach to the construction of a code with the summation of the bits of information vectors in a ternary asymmetric number system is proposed.Such codes are focused on the detection of errors in information vectors and have a relatively low redundancy, which makes it possible to use them effectively in the development of traceable digital devices and systems with fault detection.The features of error detection by the presented code with summation are analyzed in comparison with the known code with summation, which implies separate control of digits equal to one and digits equal to two.It is shown that a code with direct summation of the bits of information vectors uses its control bits more efficiently than the code considered earlier; moreover, it has less redundancy.At the same time, however, the proposed code does not reveal much more errors in information vectors, which can be both compositional and monotonic and asymmetric.The above circumstances are recommended to be taken into account when synthesizing digital devices operating in ternary logic.
Pengetahuan Mahasiswa Tentang Penggunaan Alat Pemadam Api Ringan (APAR) Berhubungan Dengan Sikap Dalam Penanggulangan Kebakaran

Fires can be prevented but the incidence is still quite high so it is important to know how to deal with them, especially in the use of light fire extinguishers (APAR). A fire incident requires a quick response to fire. The purpose of the study was to determine the relationship between students' knowledge about the use of a Light Fire Extinguisher (APAR) with fire prevention attitudes in the Chemistry Laboratory of Unitri Malang. The research design used cross sectional. The sample consisted of students of Chemical Engineering UNITRI Malang in the class of 2019 as many as 53 respondents who were taken using simple random sampling. Collecting data using questionnaires and analyzed by fisher-exact test. The results obtained that respondents have a good level of knowledge category (58.5%) and have a good attitude category (67.9%). Fisher-exact test analysis found that there was a relationship between students' knowledge about the use of fire extinguishers and attitudes in fire prevention. It is hoped that there will be training on the use of fire extinguishers on an ongoing basis and continuous socialization will be carried out after the training so that they can know how to deal with fires
Classification Based on Configuration Objects by Using Procrustes Analysis

Classification is one of the data mining topics that will predict an object to go into a certain group. The prediction process can be performed by using similarity measures, classification trees, or regression. On the other hand, Procrustes refers to a technique of matching two configurations that have been implemented for outlier detection. Based on the result, Procrustes has a potential to tackle the misclassification problem when the outliers are assumed as the misclassified object. Therefore, the Procrustes classification algorithm (PrCA) and Procrustes nearest neighbor classification algorithm (PNNCA) were proposed in this paper. The results of those algorithms had been compared to the classical classification algorithms, namely k-Nearest Neighbor (k-NN), Support Vector Machine (SVM), AdaBoost (AB), Random Forest (RF), Logistic Regression (LR), and Ridge Regression (RR). The data used were iris, cancer, liver, seeds, and wine dataset. The minimum and maximum accuracy values obtained by the PrCA algorithm were 0.610 and 0.925, while the PNNCA were 0.610 and 0.963. PrCA was generally better than k-NN, SVM, and AB. Meanwhile, PNNCA was generally better than k-NN, SVM, AB, and RF. Based on the results, PrCA and PNNCA certainly deserve to be proposed as a new approach in the classification process.
SUPPORT OF EDUCATION IN CYBERSECURITY

Cybersecurity depends heavily on education. The paper addresses the support of education as the smartest investment in cybersecurity. To define priorities, an early estimate of the state of cybersecurity in Moldova by an online survey has been completed. A wide range of aspects related to cybersecurity education are elucidated within three basic periods: initial (school), transit (university) and reinforcement (implementation and use at workplace). Referred to in these are: formation of an ‘informational’ culture, target professions, curricula content, competences, cooperation with companies, digital education, e-learning platforms, information services, risks associated with human resources, etc. Also, conceptual aspects regarding the creation of a cybersecurity polygon in support of training in the field are described: basic objectives, main functions, structural components, the technological platform and methodological issues of creating the system of cybersecurity models for application as needed.
DETEKSI KEMIRIPAN ARTIKEL MELALUI KEYWORDS DENGAN METODE FUZZY STRING MATCHING DALAM NATURAL LANGUAGE PROCESSING

Natural Language Processing (NLP) is part of artificial intelligence that focuses on natural language processing. That is the language commonly used by humans in communicating with each other. In writing, articles can also be applied. To find out the similarity of the contents of a scientific article to another will make it easier for readers to make selections and make it easier to collect similar documents. Likewise with differences in article content even though they use the same keywords. Measurements are made using the keywords contained in the abstract which consists of several words and the number of keywords. The method used is to use fuzzy string matching to get the number of keywords used in an article. Then the calculation will be done for each keyword used and will be sorted by priority according to the position of the keyword. The search will be carried out starting from the title, abstract, keywords, content, and references. The number of keywords found in each article is shared across all keywords found to generate a similarity percentage level. If the results found are the same in number from one article to another, it can even be categorized that the contents of the article have similar content. The testing process is carried out by counting the number of keywords in the source then comparing all the source keys to the destination articles in the database by searching and comparing each word.
MESSAGES BEHIND MOBILE-ASSISTED LANGUAGE LEARNING

&lt;p&gt;This paper offers a brief commentary on the ways to transform English as a foreign language students from autonomous language learners to proficient language users through mobile-assisted language learning by deducing on empirical insights from the articles in this perspective.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0852/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
PENERAPAN DATA MINING TERHADAP DATA COVID-19 MENGGUNAKAN ALGORITMA KLASIFIKASI

Coronavirus 2019 or more commonly referred to as COVID-19 is a type of virus that attacks the respiratory system. Until now the number of spread and the number of deaths caused by this virus continues to increase. As of April 21, 2020, based on data from the WHO, the total number of cases infected with this virus reached 2,397,217 with 162 deaths from all over the world. For South Korea itself, as of March 21, 2020, the total number of infected cases was 10,683 with a total of 237 deaths. In this study, researchers conducted data processing on the spread of COVID-19 in South Korea with Rapidminer using a classification algorithm, namely Naïve Bayes, C4.5, and K-Nearest Neighbor by performing the stages of selection, preprocessing, transfotmating, data mining and interpretation or evaluating the quality of the best accuracy of 80.79% with AUC of 0.881 achieved by the Naïve Bayes algorithm. The distribution of the data found that the influential attribute of the isolated class factor from the patient contained in the sex attribute where more women experienced isolation. Keywords— COVID-19, data mining, classification, C4.5, Naïve Bayes, K-NN