Reviewerly/exHarmony huggingface dataset:
SISTEM INFORMASI ABSENSI PEGAWAI PADA SMA NEGERI 15 TANGERANG BERBASIS WEB

ABSTRACT In the era of globalization intensified development as well as the increasingly rigorous competition therefore is need for critical thought to build the human resources (HR). Tantanganpun is getting so complex. While processing a system of employee attendance information on SMA NEGERI 3 TANGERANG is still done by (manually), not using a computerized attendance system information in the process data. So the information is obtained takes a long time and the storage is not guaranteed. The error occurred because of frequent or losing a data then it came unwanted losses then the application of the computerized system on the system attendance clerk at SMA NEGERI 3 TANGERANG needs to be done in order to improve the data in an information system is primarily a system of absentee employees. With a computerized system that dealt with will be able to guarantee the existence of the statutes, the time to produce the information and can control the mechanism automatically by applying good control and does not require an extensive data for archiving because most of the data stored in a computer file. While in (manual) are not effective and efficient. during the research the author using several methods including: interviews, observation, and study library, the data obtained were analyzed in the form of the Unified Modeling Language (UML) using visual paradigm's software 4.0 and in the creation of their website using XAMMP. Keyword: Employee Absences, Unified Modeling Language (UML), visual paradigm 6.4 and XAMMP.
METHODS OF FORMATION OF PROFESSIONAL MOBILITY OF FUTURE TEACHER IN THE HIGH SCHOOL

The modern educational paradigm is based on such priorities as self-development, self-organization, self-education – the subjective components of the pedagogical space. Nowadays the responsibility of the teacher for the results of their activities is increasing. The teacher must be proficient in the methods of managing educational processes, be able to develop and implement innovative technologies, focusing primarily on the development of students' abilities, and not only on the transfer of knowledge and skills. For the successful performance of professional functions in a dynamic professional environment, a teacher must have professional mobility, which determines the ability to quickly change their status or position in the social, cultural or professional space, flexibly adapt to new conditions. For this, it is necessary to reconsider the methods of training future teachers, taking into account the needs of the modern labour market for professionally mobile specialists. The purpose of the article is concretization of methods of the formation of professional mobility of a future teacher in higher education. Research methods: analysis and synthesis of scientific literature (to clarify the key concepts of the study), systematization (to identify existing scientific approaches to solve this problem), conversation, study of experience (to identify features of professional mobility of future teachers), theoretical generalization (to formulate final provisions and conclusions). It is established that professional mobility of a teacher is an integrated quality of a teacher, which provides developed professional abilities and personal traits, the ability to effectively use a system of generalized professional techniques to perform pedagogical tasks, as well as willingness to move from one type of activity to another in the field of "human-human". The formation of professional mobility of the teacher involves the use of certain teaching methods – training, brainstorming, analysis of a specific situation, business game, discussion. These methods are aimed at developing interests and abilities to pedagogical activity and professional mobility (motivational-value component), mastering knowledge, skills and abilities to design their pedagogical activity and predict its consequences (cognitive-activity component), formation of ability to evaluate results of own practice (reflexive component of professional mobility).
THE FORMING OF FOREIGN LANGUAGE TEACHERS’ COMPETENCE AS A PRIORITY DIRECTION OF TRAINING IN HIGHER EDUCATIONAL ESTABLISHMENTS ACCORDING TO RELEVANT SPECIALITY

One of the priority direction of linguamethodical training of future foreign language teachers in the establishments of higher pedagogical education according to relevant speciality is forming of technological competence. It is explained, on the one hand, that today school needs a teacher which masters perspective technologies of teaching, and from another, students haven’t knowledge and skills as for using of non-traditional methods and modern technologies on practice. The analysis of scientific and pedagogical literature shows that technological competence of future foreign language teachers consists of personality characteristics and complex of knowledge and skills as a result of professional training. The technological competence allows future foreign language teacher effectively organize educational process in the higher educational establishment, taking optimal pedagogical technologies of teaching, to realize the monitoring of the educational process of pupils and own professional activity. The forming of technological competence of future foreign language teacher takes place upon condition of the high level of students’ motivation to study, clearly defined goals of linguadidactic education, enlarging the cycle of disciplines of professionally oriented training of future teachers by ideas of technological and competence approaches. The technological competence is a necessary condition in training of future teacher of general educational establishments, that provides the ability for adequate actions in changing sisuation on the basis of continuous self-cognition and self-development of teacher’s personality. In the process of forming of technological competence of future foreign language teacher (on the level of study of methodological disciplines) can be difined some main stages: informational and theoretical, laboratory and practical, professional and practical, scientific and research. Key words: competence,technological competence, educational process, foreign language teacher, linguadidactic education, non-traditional methods, methodological disciplines.
The Importance of Using Augmented Reality in the Study of Kubra Al-Yaqiniyyat

Kubra al-Yaqiniyyat is the work of a contemporary scholar from Syria named Muhammad Sa'id Ramadan al-Buti where he discusses Islamic faith.This study emphasizes on the importance of using augmented reality (AR) technology in determining students' understanding of the debate in this book.The use of AR in this study is a utilization of the benefits of the latest technologies to be applied in Islamic studies, which are still relatively new and are not yet widely used.The methodology used is qualitative, using a library research method that uses documentation techniques for appropriate reference.This study concludes that, the use of current technologies such as augmented reality applications is very important for students in understanding Kubra al-Yaqiniyyat.
MENINGKATKAN MINAT BACA PESERTA DIDIK MELALUI METODE QUANTUM READING DALAM MATA PELAJARAN BAHASA INDONESIA

This research is based on findings in the field, namely students' low interest in reading, no initiative to read books, less reading activities, and less supportive library facilities.&#x0D; The formulation of the problem in this study is how to increase the reading interest of students who use quantum reading methods and conventional methods in Indonesian language subjects at Pakemitan 2 Public Elementary School. This study aims to determine the increase in reading interest of students who use quantum reading methods and conventional methods in Indonesian language subjects at Pakemitan 2 Public Elementary School.&#x0D; The research method used is the experimental method with the Nonequivalent Control Group Design form. The population used was 165 students, and two sample classes were class IV as a control class totaling 28 students and class V as an experimental class totaling 35 students. Research data was collected through questionnaires with statistical analysis. Analysis of the data used is normality test, homogeneity test, and hypothesis testing using SPSS version 24.0 for windows.&#x0D; The results of the analysis of variable X, it is known that the control class pre-test value obtained an average value of 53.92 is in the low classification, and the experimental class pre-test value obtained an average value of 55.94 is in the low classification. As for the value of the post-test control class obtained an average value of 58.46 in the low category, this shows the implementation of the conventional method has not been successful, and the post-test value of the experimental class obtained an average value of 67.34 in the category quite effective, this shows the implementation of the quantum reading method is quite successful. The results of the variable analysis Y, it is known that the control class pre-test value obtained an average value of 55.07 is in the low classification, and the experimental class pre-test value obtained an average value of 55.57 is in the low classification. As for the value of the post-test control class obtained an average value of 60.03 in the low category, this shows the implementation of the conventional method has not been successful, and the post-test value of the experimental class obtained an average value of 68 in the category quite effective, this shows the implementation of the quantum reading method is quite successful, then Hₒ is rejected or Hₐ is accepted. That is, the use of the quantum reading method can increase the reading interest of elementary school students in Indonesian subjects.
A Reading Recognition Model of Pointer Type Oil-level Meter Based on Improved Resnet

At present, the reading recognition of pointer type oil level meter mainly depends on manual observation, which is not accurate due to different scenes and perspectives. And traditional methods based on Hough transform are designed according to expert experience, which is inconvenient to be used by the staffs with little relevant work experience. To improve the automation degree of reading recognition, a model based on improved Resnet and improved Bayesian optimization is proposed in this paper. Firstly, convolution kernel decomposition, more shortcut connection and changeable network structure are adopted to improve Resnet18. Secondly, 3 constrains are added to improve Bayesian optimization to speed up the converge process and reduce network size. Finally, use the improve Bayesian optimization to search the suitable hyperparameter of the network, including initial learning rate, momentum of SGD, L2 regularization factor, filters number of first convolution layer, and the number of residual blocks. Example shows that the improved Bayesian optimization can help to converge faster with a small size of network, and improved Resnet performs the best compared with other classical deep learning network.
Media culture as a factor of molding information ethics in the digital society

International scientific and practical conference «The European development trends in journalism, PR, media and communication» Wloclawek, Republic of Poland, October 30–31, 2020. Wloclawek: Izdevnieciba «Baltija Publishing», 2020. 133 pages.
Deep CNN Frameworks for Comparison for Malaria Diagnosis

We compare Deep Convolutional Neural Networks (DCNN) frameworks, namely AlexNet and VGGNet, for the classification of healthy and malaria-infected cells in large, grayscale, low quality and low resolution microscopic images, in the case only a small training set is available. Experimental results deliver promising results on the path to quick, automatic and precise classification in unstained images.
Monitoring system to classify cervical cancer stages based on pap smear nucleus analysis

Nowadays, in the hospital, cervical cancer is in the higher rank (number two) of the most popular cancer among ladies in the world. This type of cancer develops in the woman's cervix, which the womb is the entrance. The nucleus of the normal cell is in a smaller size compared to the abnormal nucleus. The abnormal nucleus has a bigger size, which sometimes, the size cannot be identified accurately by seeing with bare eyes to classify the stages of cervical cancer. As the solution, to detect and classifying the cells using methods through Pap smear images technique for handling the paper objectives with the better performance required. This method may improve the accuracy of the detection and the classification which to show better performance with the balance data and samples. Based on all of the results classified, the five methods were compared such as Wolf method, Nick method, Niblack method, Bradley method, and Bernsen method has been determined. Then, the Bradley method showed the best result of the cervical cancer threshold which has been chosen in this project. Furthermore, method modification has been made as to the new method of detection for the nucleus successfully proposed as stated in the project objective. After that, the analysis of the specificity, accuracy, PSNR, sensitivity, and F-Measure determined. All of the results of data analysis showed that the proposed method has a high percentage of the accuracy in total average, in which the project system performance of nucleus detection is good. Nevertheless, the analysis of the nucleus feature in terms of size by obtaining the area and the perimeter of the foreground (nucleus) made as the classification of cells were classed into three classes has been successfully made as to the second project objective. The three classes of cells finally success to identify, those are the ‘Abnormal Cell’, ‘Intermediate Cell’, and ‘Normal Cell’. This study could perhaps encourage researchers throughout the field in seeing the researched risk associated with some of the methods and to provide a solid base for design and implementing new algorithms or implementing new ones.
CONTENT AND STRUCTURE OF THE DISCIPLINE «FUNDAMENTALS OF PRODUCTION TECHNOLOGIES» FOR TRAINING FUTURE TEACHERS OF GEOGRAPHY

The article proves the relevance of the introduction of the discipline «Fundamentals of Production Technologies» in the educational process of training future teachers of geography, provides an analysis of scientific sources on this issue, defines the purpose of the article, research methods. The urgency of studying this discipline is due to the need for future teachers to understand the geography of technological processes of production, the location of productive forces, the impact of production technologies on natural complexes, demographic, social and environmental problems of society. The purpose of the article is to acquaint teachers of higher education institutions with the content of the discipline «Fundamentals of Production Technologies» for the training future teachers of geography. Research methods used: theoretical − analysis of pedagogical, educational, methodical and technical literature; study of scientific publications on the subject of research; systematization and generalization of information; empirical methods − the study of regulatory documentation on the organization of the educational process in higher education institutions. The content and structure of the discipline «Fundamentals of production technologies», a list of general and professional competencies, program learning outcomes, teaching and assessment methods, criteria for evaluation program learning outcomes, distribution of points for certain types of educational activities are filed up. It is determined that the study of the discipline contributes to the formation of general competencies: the ability to search, process and analyze information from different sources; ability to learn and master modern and professional knowledge, namely: the ability to understand the essence of the interconnection between the natural environment and human, to understand and explain the strategy of sustainable development of mankind in terms of the development of modern production technologies. The program learning outcomes of higher education seekers are in their ability to explain the changes that occur in the geographical environment under the influence of natural and anthropogenic factors, the formulation of consequences and determinants in the context of the concept of sustainable development of mankind. A fragment of a practical lesson, which reflects the content of the practical task and the stages of its implementation was given. It was found that the discipline «Fundamentals of Production Technologies» contributes to the holistic formation of professional competence of the future teacher of geography.
Emotional Intelligence of SMA N 2 Padang Students and Implications in Guidance and Counseling Services

Emotional intelligence is the ability to recognize, process, and control emotions so that individuals are able to respond positively to any conditions that stimulate the emergence of various emotions. This research is motivated by the phenomenon of students who have low emotional intelligence. This study aims to describe how the general description of students' emotional intelligence is seen from the aspects of recognizing one's emotions, managing emotions, motivating oneself, recognizing other people's emotions, and building relationships. This research uses descriptive quantitative research. The population in this study were all students of SMA N 2 Padang, totaling 1,038 students and the sample in this study was 321 students. Sampling in this study using stratified random sampling technique. The instrument used in this study was a questionnaire about emotional intelligence with a Likert scale model. The data analysis technique used descriptive statistical techniques. This study describes the emotional intelligence of SMA N 2 Padang students based on the following aspects: (1) recognizing self-emotions in the low category with a percentage (55%), (2) managing emotions in the medium category with a percentage (69%), (3) motivating self is in the low category with a percentage (49%), (4) recognizing the emotions of others is in the medium category with a percentage (66%), and building relationships is in the medium category with a percentage (68%).
A descriptive study to assess knowledge, practice and attitudes towards computerisation among nursing staff in selected hospital of Raipur Chhattisgarh

Foundation: The wellbeing area is confronted with steady changes as new ways to deal with tackle diseases are unveiled through research. Data, correspondence and innovation have extraordinarily changed medical care practice the world over. Nursing is consistently presented to an assortment of changes. Factors including age, instructive level, years worked in nursing, PC information and experience have been found to impact the perspectives of nurses towards computerisation. The motivation behind the examination was to decide the information, practice and mentalities of medical attendants towards the utilization of PCs and the variables that impact these attitudes. Methods: This cross sectional spellbinding investigation was led among staff medical attendants working clinic Raipur (C.G.) test of 84 attendants filled the surveys. Information was gathered utilizing the changed Likert type. Results: Nurses had a good demean or towards computerisation. Non-clients had a fundamentally higher attitude score contrasted with the clients (p = 0.0274). Factually huge affiliations were seen with age (p = 0.039), level of instruction (p = 0.025), term of introduction to PCs (p = 0.025) and mentalities towards computerisation. End: Generally, medical caretakers have uplifting perspectives towards computerisation. This data is significant for the arranging and execution of computerisation in the emergency clinic as suggested in different investigations.
Rancang Bangun Aplikasi Data Mining pada Penjualan Distro Bloods Berbasis Web menggunakan Algoritma Apriori

The design of this data mining application is a computerized system in the field of technology, this proves that technological developments in data processing are increasingly advanced, this can be the basis for the development of data processing systems for sales of bloods based web applications using a priori algorithms, problems in this bloods distribution cannot Minimizing the decline in sales at the Jakarta clothing event in 2019, it is necessary to evaluate the sales data, with market basket analysis or consumer shopping baskets to find out consumer shopping patterns as a reference for the sale strategy of event Jakarta clothing at the end of the year. This analysis uses a priori algorithm with the association rule method, while the SDLC (Software Development Life Cycle) method is used as the basis for developing expert systems. From the results of the study, it was found that sales data for 5 days and 7 items got the highest 100% confidence value from the itemset calculation 1,2,3 which passed the selection so that they became aware of consumer purchasing patterns and rearranged product layouts for promotion and improving the correct sales strategy.Keywords:Applications, Data Mining, Apriori Algorithms, Association Rule Method, SDLC.
Inter Faces: creation processes for artistic performance enhanced by augmented reality

Inter Faces : creation processes for artistic performance enhanced by augmented reality – In view of the poetic use of augmented reality, this article presents links between performance and augmented reality technology with self-referenced digital content, supported by the activist artistic proposal Inter Faces . For a reflection on creative processes, the artistic works body and Parade to Hope are compared. With this analysis we intend to present the challenges and solutions found during the creation process of Inter Faces , seeking to contribute to the debate on the expansion, popularization and poetization of augmented reality in performance.
MODELING OF OPINION FORMATION UNDER INFLUENCE OF SOCIAL MEDIA FOR ANALYZING HISTORICAL EVENTS WITH BENGAL PARTITION AS CASE STUDY

Error correcting codes are important for communication sys-tems to retrieve messages transmitted over noisy channels.Recent ad-vancement of low density parity check (LDPC) codes has enabled reliable communication in highly noisy environment of deep space or underwater.The LDPC decoder algorithm employs localized neighbourhood based parity check equations to improve upon the error correcting capability.It is shown in this work that such principle can be implemented on bi-partite graph to simulate the connectivity among people of the society who form opinion through influence from their connected neighbour-hood.With the advent of social media, this concept of neighbourhood has broken the localized boundaries so that influencing opinions can be far spread.Historical event like Partition of Bengal in 1947, when revis-ited in light of this model, provides alternate course of history.