Reviewerly/exHarmony huggingface dataset:
KORELASI KETERAMPILAN MEMBACA PEMAHAMAN DENGAN KETERAMPILAN MENULIS TEKS EKSPLANASI SISWA KELAS XI SMA ADABIAH PADANG

ABSTRACT The purpose of this study is three. First, describe comprehension reading skills. Second, describe explanatory text writing skills. Third, describe the correlation of reading comprehension skills with explanatory text writing skills of class XI students of SMA Adabiah Padang. This type of research is quantitative with descriptive method. The design of this study is correlational design. The study population was registered in 2018/2019, which is 287 students. The research sample was proportional random sampling of 20% of the population of 57 students. The research data is in the form of scores on the results of comprehension reading skills tests and scores on the results of explanatory text writing skills. The instrument of this study was an objective test to measure comprehension reading skills and performance tests to measure writing skills. The results of this study are three. First, reading comprehension skills of class XI students of SMA Adabiah Padang are of good qualification (B). Second, explanatory text writing skills of class XI students of SMA Adabiah Padang are of good qualification (B). Third, there is a correlation of reading comprehension skills with explanatory text writing skills with n-1 freedom degrees at the 95% confidence level. The value of tcount (38.54) is greater than t table (1.66) that is tcount&gt; ttable (38.54&gt; 1.68) thus H0 is rejected and H1. Based on the results of these studies it was concluded that reading comprehension skills correlated with explanatory text writing skills. Kata Kunci: Korelasi, Keterampilan Membaca Pemahaman, Keterampilan Menulis Teks Eksplanasi.
Up-To-Date Management Of A University

The paper describes the management paradigm of the educational environment that has emerged in the new socio-political and economic realities.The rapid development of new methods of management in the economy since 1990s required corresponding changes in other sectors.A noticeable decrease in the state participation in the country's economic space, the transition to functioning according to market laws could not but affect the education sector.The need to work in the conditions of new realities also required a restructuring of the entire management paradigm of the higher education system.There is a need to create an effective management model capable of ensuring the priority role of the university in the socioeconomic development of the region and the country.The main problem faced by universities in this matter is the conservatism of the university environment, the craving for the old administrative model of management based on the laws of a planned economy.A formal approach to this issue was no less dangerous.Some regional universities are confidently developing in the direction of the real transformation of the management paradigm and, having fulfilled the minimum program to become the leading universities in their region, set ambitious goals for themselves to occupy their "own" niche in the country's economic space.Chechen State University is an example of such a regional university.
Studying the Third Cumulant of the Mixture of Dirichlet-multinomial Distributions

Traditionally, the overdispersion parameter ϕ is estimated by using Pearson’s lack of fit statistic X2or the Deviance statistic D, which do not perform well in the case of sparse data. This paper particularly focuses on an estimator ϕnew of overdispersion parameter which was proposed for sparse multinomial data. The estimator was derived on the basis of an assumption on the 3rd cumulant of the response variable.When the data comes from the Dirichlet-multinomial distribution ϕnew is known to have the lowest root mean squared error comparing to the other three estimators. In this paper the 1st to 3rd order raw moments of the finite mixture of Dirichlet-multinomial distributions are derived, which results in complicated mathematical expressions. Furthermore, it is found that the 3rd cumulant of this mixture does not satisfy the assumption which is considered in the derivation of ϕnew . Dhaka Univ. J. Sci. 69(2): 96-100, 2021 (July)
Penerapan pembelajaran Discovery Learning untuk meningkatkan prestasi belajar matematika siswa kelas V SDN 02 Donowangun

This study aims to examine the improvement of student learning outcomes through the application of discovery learning. The subjects in this study were grade 5 students at SDN 02 Donowangun, Talun. Based on the results of the study, in the first cycle the percentage of learning completeness was 52% and the average student learning outcome was 73, meaning that in the first cycle it did not meet the overall learning completeness criteria. While in the second cycle the percentage of learning completeness was 89.5% and the average student learning outcome was 85, meaning that in the second cycle it met the criteria for learning completeness as a whole. The activeness of students in the application of discovery learning in the first cycle met the moderate criteria, while the second cycle as a whole met the high criteria, meaning that there was an increase in student activity and collaboration in the application of discovery learning. The percentage of teacher skills in learning by using discovery learning increased from 80% in the first cycle to 87.5% in the second cycle with the high category.
A Study to investigate the accuracy of modified triple evaluation in preoperative breast lump diagnosis: A cross sectional hospital based study

Aims: To evaluate accuracy of modified triple assessment in the preoperative diagnosis of patients with breast lump.Methods: A descriptive cross sectional study was conducted in the Department of General Surgery, Shri Shankaracharya Institute of Medical Sciences, Bhilai, Chhattisgarh, India for the period of 1 year.A total of 400 patients with a breast lump were included in this study.A detailed history, focused clinical examination, radiological imaging and FNAC were used as diagnostic tools for screening of the patients. Results:The most common age group in this study is 41 to 50 years of age.Mean age is 38.66 ± 15.26 years.Youngest patient was of 10 years of age and oldest patient was 63 years of age.The result of individual components as overall M.T.T were tabled above and compared with the final histopathological examination.Result of physical examination showed sensitivity 90.88% and specificity 95.33% for diagnosing malignant breast lesion.The ultra-sonography revealed 89.66% of sensitivity, 97.89% of specificity.FNAC revealed that 95.75% sensitivity while specificity was 99.12%. Conclusions:The modified triple test can reliably guide the evaluation and management of breast lump.
Improving the Robustness of Model Compression by On-Manifold Adversarial Training

Despite the advance in deep learning technology, assuring the robustness of deep neural networks (DNNs) is challenging and necessary in safety-critical environments, including automobiles, IoT devices in smart factories, and medical devices, to name a few. Furthermore, recent developments allow us to compress DNNs to reduce the size and computational requirements of DNNs to fit them into small embedded devices. However, how robust a compressed DNN can be has not been well studied in addressing its relationship to other critical factors, such as prediction performance and model sizes. In particular, existing studies on robust model compression have been focused on the robustness against off-manifold adversarial perturbation, which does not explain how a DNN will behave against perturbations that follow the same probability distribution as the training data. This aspect is relevant for on-device AI models, which are more likely to experience perturbations due to noise from the regular data observation environment compared with off-manifold perturbations provided by an external attacker. Therefore, this paper investigates the robustness of compressed deep neural networks, focusing on the relationship between the model sizes and the prediction performance on noisy perturbations. Our experiment shows that on-manifold adversarial training can be effective in building robust classifiers, especially when the model compression rate is high.
Developing Learning Media of <i>Réception Orale Débutant</i> using Smart Apps Creator Application

This study aims to develop learning media of réception orale débutant using Smart Apps Creator application for 2nd semester students and to determine the feasibility of the learning media developed.This research uses research and development (R&D) methods.ADDIE development model which consists of 5 stages, namely problem analysis, product design, media development, product design validation and product design revision.The initial stage in this research is collecting data by analyzing needs using google forms, designing and creating learning materials, and validating them to material experts and media experts.The data and data sources in this study are data regarding the feasibility of learning media that have been validated by the validator, the data sources in this study are students as informants in needs analysis questionnaires and books, articles, journals as supporting other data.Data analysis technique in this research is data collection with percentage analysis instrument.The results of the validation test by material experts are 80% and media experts are 90%.The results of material validation are "good" category and the results of media validation are in the "very good" category.It can be concluded that the learning media developed using Smart Apps Creator application is declared valid for use in learning French for 2nd semester students
The Development and Creation of Intelligent Systems in the next one hundred years

Today the intelligent systems are technological implemented as advanced machines [1] which have high perception, interaction and response to the real world being in much cases an extension of the reality, anticipating events,intertwining remote events, saving life and predicting preferences of human been [2,3] through of robust programming and electronic systems with high performance, optimization and design in operations where are required machines with an strong and complete interacting with the environment [2]; environment which also goes increasing until; in the very near future, to the ends of the Universe.
Instructional Dialog As A Way To Form Tolerance In Higher Education Students

The paper considers an important problem of modern education, consisting in formation of tolerance in students by means of instructional dialog.The practical problem is further complicated by an abundance of concepts, points of view and opinions, often irreconcilable and opposite in their content.In this context, capability of a person to constructive discussion of a problem is actualized, as well as a skill in making a rational compromise in selection of ways and methods for problem solving.The principal research methods employed were: analysis and synthesis, abstraction and specialization, modeling, observation, surveying, interviewing, conversation, studies of educational documentation, analysis of creative works and testing tasks, generalization of teaching experience, ascertaining and teaching experiments, ranking, statistical processing of data, evaluation of statistical significance of the hypothesis.Material presented in the article includes a description of research results with the purpose of elaborating and specifying the content of the tolerance concept, identifying and justifying a set of educational conditions for effective formation of tolerance in higher education students by means of instructional dialog.
DEVELOPING BLENDED LEARNING APPLICATION UTILIZING ARTICULATE STORY LINE 3.0 INTREGRATED WITH ANDROID BASED SYSTEM

The development of science and technology in the digital era of Four Point Zero has a great impact on the world of education. One of them is by utilizing e-learning applications in the learning process. However, the technology used in this learning is too dependent on the internet network. Therefore, the research aims to develop a media in the form of an Android-based e-learning application that can be used online and offline. This study uses a research and development design using the ADDIE model. To create and test these products, in this case an Android-based e-learning application. Procedure This research was carried out through 6 stages, namely needs analysis, application design stage, development, data analysis, evaluation, and development of a final product that is ready to be used. From the results of the material validation test and the feasibility of the developed application media, it is very feasible to use.
Analisis Teorema Bayes Dalam Mendiagnosa Penyakit Tanaman Pisang

Most of Indonesia's population earns a living as farmers who mostly cultivate various types of plants, one of which is the banana plant. Banana plant (Musa Paradisiaca L) is one of the horticultural crops that can be planted intensively due to very supportive soil and climatic conditions, especially in North Sumatra. However, the productive growth of banana plants in Indonesia is getting lower, this is due to the lack of knowledge of farmers about banana plant diseases and how to overcome them, another reason is the lack of agricultural managers who provide counseling to farmers about types of banana plant diseases and their prevention and prevention. In this study, we will take advantage of the development of analysis that adopts the process and way of thinking of humans, namely Artificial Intelligence or artificial intelligence which is often called the Expert System with the Bayes Theorem algorithm that relies on probability values, so that it can provide diagnostic results that are in accordance with symptoms based on the knowledge base obtained from expertise. an expert in the field of banana plant diseases. The research will provide solutions for handling or preventing disease based on the rules that have been obtained from the expertise of an expert in the field of banana plants. So the analysis of the Bayes theorem algorithm is feasible to implement and can help banana farming communities in preventing disease and can help increase the productivity of banana plants
Student-Faculty Portal using ML and Cloud Services

Abstract: In March 2020, many institutions and companies abruptly closed their premises in response to the spread of COVID19, preventing them from hosting any in-person activities which promoted the sense of working in groups and collaborating with peers. As a result, many students missed out on ways in which they can connect with those around them. Restrictions on inperson interactions between students, staff, and faculty are likely to persist in the future as well resulting in the lack of sense of collaborative working. Student Faculty Portal concentrates on effective connection building between people in colleges and universities by providing them a platform to collaborate based on their skills, interests, knowledge, and expertise. Keywords: skill profile, recommendation, collaboration, portal, interests, expertise
Improving the Requirements Engineering Process Through Automated Support: An Industrial Case Study

Although Distributed Software Development (DSD) has been a growing trend in the software industry, performing requirements management in such conditions implies overcoming new limitations resulting from geographic separation. SIDIA is a Research and Development (R&amp;D) Institute, located in Brazil, responsible for producing improvements on the Android Platform for Samsung Products in all Latin America. As we work in collaboration stakeholders provided by Mobile Network Operators (MNO) from Latin countries, it is common that software requirements be provided by external stakeholders. As such, it is difficult to manage these requirements due to the coordination of many different stakeholders in a distributed setting. In order to minimize the risks, we developed a tool to assist our requirements management and development process. This experience paper explores the experience in designing and deploying a software approach that facilitates (I) Distributed Software Development, (II) minimizes requirements error rate, (III) teams and task allocations and (IV) requirements managements. We also report three lessons learned from adopting automated support in the DDS environment.
Penerapan Metode User Centered Design Pada Rancang Bangun Sistem Penjualan Berbasis E-Commerce: Studi Kasus Toko Martijo 123

The rapid growth of the E-Commerce market in Indonesia is indeed beyond doubt. With the number of internet users reaching 82 million or around 30% of the total population in Indonesia, the E-Commerce market is a gold mine which is very tempting for some people who can see the potential in the future. E-Commerce is a form of changing patterns of interaction between sellers and buyers from direct physical contact and face-to-face to internet-based. With the stages of the User Centered Design method In this paper, the author uses the UML modeling language (Unifield Modeling Language) as a system design tool. From the system testing that has been done, the results displayed by the system when executed are in accordance with the design of the proposed system and interface system. with that stated the sales system has been successfully created in order to be able to help the Shop and Consumers to make the process of buying and selling online. The results of the study show that by identifying business needs, E-Commerce-based sales systems can provide more interesting information features that can meet customer satisfaction. These features include search products, account information, shipping and payment confirmation. Another important factor is trust. In this process trust is the main capital. Because without the trust of both parties, the process of buying and selling E-Commerce can occur and be carried out.
Question Answering in Natural Language: the Special Case of Temporal Expressions

Although general question answering has been well explored in recent years, temporal question answering is a task which has not received as much focus. Our work aims to leverage a popular approach used for general question answering, answer extraction, in order to find answers to temporal questions within a paragraph. To train our model, we propose a new dataset, inspired by SQuAD, specifically tailored to provide rich temporal information. We chose to adapt the corpus WikiWars, which contains several documents on history's greatest conflicts. Our evaluation shows that a deep learning model trained to perform pattern matching, often used in general question answering, can be adapted to temporal question answering, if we accept to ask questions whose answers must be directly present within a text.
Triwaca dan Literacycloud: Ragam Membaca Menyenangkan selama Pandemi Virus Corona

The outbreak of Corona virus pandemic is changing the face of the education process in various parts of the world. Lots of the educational processes are transformed into online or learning from home. In spite of this, it was found that some teachers experienced difficulties administering online teaching. This phenomenon moves the community service team to organize a varied, interactive, and fun learning process for educators at the elementary school level in Deli Serdang Regency, North Sumatra. A total of 90 educators from private and state schools were trained to use a fun reading style using the Literacycloud browser. The training began with online dissemination, followed by visitations to target schools. All educators were asked to practice Triwaca, namely Uninterrupted Sustained Silent Reading (USSR), story pyramids, and BookTalk. performance. The results of cognitive measurements showed an increase in educators' knowledge about the pleasuring reading by 50%. In addition, the target school has produced more than 20 story pyramids and practicing BookTalk both online and offline for students. In conclusion, the Triwaca and Literacycloud programs in general ran successfully as seen from the program achievement indicators.
ASPEK SOSIAL DAN NILAI PENDIDIKAN DALAM NOVEL GURU AINI KARYA ANDREA HIRATA

The research aims to determine and describe the existence of a matematics teacher in the novel Guru Aini, socio-cultural background and educational values contained in the novel. The research is a descriptive research method qualitative content analysis. The research novel Guru Aini is examined with the approach of sociology literature. Validation is used triangulation theory with stages of reading, records, and analysis of the document. The result of this research incate that the existence of a mathematics teacher most feared by students. This is because mathematics is considered a difficult subject to understand so that many students who dislike mathematics. Then the socio-cultural background in Guru Aini’s novel includes customs and beliefs such as the habit of sprinkling sand into the air while avoiding danger, the language used in Indonesian wit a combination of Sumatera language, the religion that many Islamic figures adhere to, the work that is being carried out namely teachers and others, and the character’s last education is D-3 and high school. Finnaly, the educational value contained in Guru Aini’s novel includes the value of social education which is depicted from interaction of the character with community, the value of moral education which is depicted from attitudes and behavior of the characters, the value of religious education which is depicted from the teachings of Islam in the novel and the educational value of strunggle from character efforts in achieving his dreams. Keywords: Sociology, Literature, Novel, Value of Education
Methods of Formation of the Students-Mathematicians’ Readyness to Study Mathematical Disciplines

The introduction to the article analyzes the current state of formation of the students-mathematicians’ readiness to study mathematical disciplines. The purpose of the study is to develop and scientifically substantiate the method of forming the students-mathematicians’ readiness to study mathematical disciplines. Methods. In the process of achieving the goal, the theoretical and practical methods of data retrieval and processing were applied. The results. The analysis of the researched problem gave an opportunity to characterize the essence of the concept «students-mathematicians’ readiness to study mathematical disciplines». The students-mathematicians’ readiness to study mathematical disciplines was defined as the result of mathematical training of a prospective university student, that is a necessary condition for forming the mathematical competence of graduates of pedagogical universities. The article defines the content of structural components of the formation of the students-mathematicians’ readiness to study mathematical disciplines: motivational-value (presence of motives and needs in studying mathematics, awareness of the mathematical knowledge value for future professional activity), semantic (mathematical knowledge of school mathematics required to master basic mathematics knowledge of generalized methods of solving typical professional problems), instrumental (universal actions of generalized methods of solving typical professional problems that require the mathematical knowledge use), personal (communicative, creative abilities and personal qualities needed to solve typical professional problems). The didactic principles of forming the students-mathematicians’ readiness to study mathematical disciplines are the principles of cooperation, of professional orientation, fundamentality, modularity of the mathematical training content. Conclusions. The methods of formation of the students-mathematicians’ readiness to study mathematical disciplines which contains interrelation of target, methodological, substantial, procedural and result-estimating components is developed. The prospects for further research are planned in the direction of the developed methodology implementation into the educational process of pedagogical universities for students-mathematicians.