Reviewerly/exHarmony huggingface dataset:
PENGARUH TINGKAT LITERASI BACA SISWA TERHADAP EFEKTIVITAS PEMBELAJARAN

The title of this study is the Effect of Student Reading Literacy Level on Learning Effectiveness (Survey on Introduction of Accounting Class X Accounting at SMK Negeri 3 bandung academic year 2021-2022). This research aims to (i) find out the level of student read literacy in Introduction of Accounting of class X Accounting at SMK Negeri 3 bandung (ii) to know the level of learning effectiveness Introduction of Accounting of class X Accounting at SMK Negeri 3 bandung (iii) knowing the magnitude of the influence of students' reading literacy levels on the effectiveness of learning in Introduction of Accounting of class X Accounting at SMK Negeri 3 bandung. In this study the authors used quantitative approach methods using survey research methods, with a population of 30. To seek influence, The data analysis used is a simple linear regression analysis using IBM SPSS Statistics Version 24.0,descriptive analysis ofreading literacy level with a weight of 37.97 and an average value of 3.80, and theeffectiveness of learning with a sum weight of 40.03 and an average value of 4.00, on a simple linear regression test there is a regression coefficient value obtained is 0.580, and the determination coefficient valueis obtained the number R (correlation coefficient) or the relationship number between variable X to variable Y of 0.557 or 55.7%. The amount of contribution made by the variable level of reading literacy can be seen from the number in R Square which is 0.310 which means that the level of reading literacy affects the effectiveness of learning by 31.0%. While the other 69.0% was influenced by other factors outside of the research conducted.
Perception, Satisfaction, and Obstacle of Online Learning Faced by Academic Nursing Students during COVID-19 Pandemic

used, (II) online learning obstacles faced by academic students, (III) learner satisfaction with online
Influence Mechanism of Bilili Gourmet Videos on User Interaction Intention

Bilibili has a unique user interaction mechanism.From an empirical point of view, this paper conducted in-depth interviews with users watching Bilibili food videos, putting forward the research hypothesis and model of this paper, and designed a questionnaire, analyzed the influencing factors of user interaction intention.It found that the information emotional and symbolic value and interaction degree of food videos will significantly positively affect user interaction intention.Combined with the research process and results, this paper puts forward some management suggestions for food uploaders, we media platforms and users.
Differential Evolution Algorithm using Environment Based Operator

In this paper, new mutation strategies are proposed to improve the accuracy of the cost estimation by COCOMO's tuning parameters using the Internal adaption based mutation operator for differential evolution algorithm (IABMO Algorithm). The proposed method provides more promising solutions to take the lead evolution and helps DE abstain the circumstance of stability. The proposed algorithm applied software cost estimation and improve the performance of the initial phase for software engineering. This approach is used for precise prediction and reduces the error rate for the initial phase of software development phase projects. The software cost estimation based IABMO algorithm has been capable of a better for effort, MRE, MMRE, and prediction.
Visitor satisfaction prediction of the 'Pantai Pohon Cinta' beach tourism using the backpropagation algorithm with particle swarm optimization feature selection

This study focuses on the visitors of Pohon Cinta beach tourist area. This beach is one of the potential tourism objects in Pohuwato Regency. The main problem that frequently occurs is that many visitors cannot directly convey their impression when visiting and enjoying the beauty of the Pohon Cinta beach. The government needs to know the level of visitor satisfaction to attempt to improve and develop the Pohon Cinta beach tourist attraction. Thus, to solve the problem above, a method that can help predict visitor satisfaction is needed. This study aims to measure visitor satisfaction through predictions using the Backpropagation algorithm and PSO feature selection to assist the government in developing tourism potential in Pohuwato Regency. The method used is the backpropagation algorithm for prediction and Particle Swarm Optimization which is considered effective in overcoming optimization problems. This algorithm is considered capable of solving problems in the backpropagation algorithm. The accuracy value of the backpropagation algorithm model is 84.67%, the accuracy value of the PSO-based backpropagation algorithm model is 85.00%, and the difference in accuracy is 0.33. The results of the application of the Backpropagation algorithm and Particle Swarm Optimization can increase the predictive accuracy value of visitor satisfaction at the Cinta Tree Beach tourist attraction.
ON DEEP LEARNING FOR OPTION PRICING IN LOCAL VOLATILITY MODELS

We study neural network approximation of the solution to boundary value problem for Black-ScholesMerton partial differential equation for a European call option price, when model volatility is afunction of underlying asset price and time (local volatility model). Strike-price and expiry day of theoption are assumed to be fixed. An approximation to option price in local volatility model is obtainedvia deep learning with deep Galerkin method (DGM), making use of the neural network of specialarchitecture and stochastic gradient descent on a sequence of random time and underlying price points.Architecture of the neural network and the algorithm of its training for option pricing in local volatilitymodels are described in detail. Computational experiment with DGM neural network is performed toevaluate the quality of neural network approximation for hyperbolic sine local volatility model withknown exact closed form option price. The quality of the neural network approximation is estimatedwith mean absolute error, mean squared error and coefficient of determination. The computationalexperiment demonstrates that DGM neural network approximation converges to a European calloption price of the local volatility model with acceptable accuracy.
Implementation of Using Caretaker Speech in Distance Learning Assistance Activity

The application of distance learning in elementary education using virtual technology is an activity that needs to be supported and considered to support good quality learning for the continuity of education during the Covid-19 pandemic.The learning process will not run without communication.Communication is important to convey information, both oral and written.The caretaker can be a teacher.The speech act is an utterance that is made as part of social interaction.So, the caretaker speech is the simplified form of speech used by people who think the listener has limited linguistic.The aim of this research is to describe the use of caretaker speech used in Distance Learning assistance activity.This is the descriptive qualitative research.The data were obtained by using observations, questionnaires and interview to the 10 teachers of elementary school first grade in Batang regency.The results showed that there were 5 categories of illocutionary speech acts in Distance Learning Assistance Activity as the following: 48% for assertive, 36% for directive, 3% for comissive, 13% for expressive; and 0% for declarative.The study concludes that the reason for using more directive speech acts was to make students able to achieve competence despite distance learning.This study is expected to add information related to the importance of teacher speech acts, especially in the context of distance learning in elementary schools.
What Students Want: Using A Need-based Innovation Approach for Digitizing Higher Education

Incumbent organizations like universities lack capabilities of how to make sense of student learning needs to guide digitization activities that develop and implement new e-learning technologies.This paper contributes a methodological approach based on the jobs-to-be-done theory that assists universities in digitizing their learning and teaching processes.This study applies the Outcome Driven Innovation (ODI) approach to assess students' learning needs in the learning process of higher education.The results from the ODI methods are valuable to create need-based data intelligence that supports sensemaking about digitization strategies at universities and fosters the development of e-learning platforms and analytics.
Examining the Influence of the Demographic Variables on Organizational Citizenship Behavior Levels among Bank Employees in Madurai District

The study concentrates on the influence of the demographic variables on Organizational Citizenship Behavior levels among bank employees. Organizational Citizenship Behavior (OCB) is defined as the voluntary commitment exhibited by the employees within an organization. OCB allows employees to maintain continuous interaction with the existing and prospective customers, especially in branch banking. To increase productivity, efficiency, and customer satisfaction and reduce turnover rates and absenteeism, the organization should motivate and encourage the employees to exhibit OCB. Also, voluntary behaviour will result in the success of the organization. The study is focused on the effects of five dimensions of OCB as Altruism, Courtesy, Conscientiousness, Civic Virtue and Sportsmanship. The researcher uses a descriptive research design and a simple random sampling method with a sample size of 100 respondents. The main aim of the study is to examine the influence of the demographic variables on OCB levels among bank employees in the Madurai district.
SQL QUERY EXECUTION OPTIMIZATION ON SPARK SQL

Spark and Hadoop ecosystem includes a wide variety of different components and can be integratedwith any tool required for Big Data nowadays. From release-to-release developers of theseframeworks optimize the inner work of components and make their usage more flexible and elaborate.Nevertheless, since inventing MapReduce as a programming model and the first Hadoop releases dataskew has been the main problem of distributed data processing. Data skew leads to performancedegradation, i.e., slowdown of application execution due to idling while waiting for the resources tobecome available. The newest Spark framework versions allow handling this situation easily from thebox. However, there is no opportunity to upgrade versions of tools and appropriate logic in the case ofcorporate environments with multiple large-scale projects development of which was started yearsago. In this article we consider approaches to execution optimization of SQL query in case of dataskew on concrete example with HDFS and Spark SQL 2.3.2 version usage.
APPLICATION OF DIDACTIC GAMES IN MATHEMATICS TEACHING

The purpose of this paper is to show the importance of the use of games and didactic games, especially in the initial teaching of mathematics.We explain the connection between the didactics and the curriculum as well as the types of didactic games and the ways in which they can be used in mathematics teaching.The research part of the paper is based on the results of the questionnaire on the application of didactic games in mathematics teaching.The research, which was conducted among 274 primary school teachers, sought to determine whether didactic games are used in mathematics teaching and which games they use most often.Also, attitudes about the advantages and disadvantages of the didactic game in teaching and how the game affects the student in the educational process were examined.Teachers also had the opportunity to comment on how they can change the use of didactic games and materials.The research problem states that primary school teachers use didactic games in their teaching and try to keep up with the times.Furthermore, research has proven that play is very important to students because it motivates them for teaching content, and they also become more active participants in the educational process.
Validating Label Consistency in NER Data Annotation

Data annotation plays a crucial role in ensuring your named entity recognition (NER) projects are trained with the correct information to learn from.Producing the most accurate labels is a challenge due to the complexity involved with annotation.Label inconsistency between multiple subsets of data annotation (e.g., training set and test set, or multiple training subsets) is an indicator of label mistakes.In this work, we present an empirical method to explore the relationship between label (in-)consistency and NER model performance.It can be used to validate the label consistency (or catch the inconsistency) in multiple sets of NER data annotation.In experiments, our method identified the label inconsistency of test data in SCIERC and CoNLL03 datasets (with 26.7% and 5.4% label mistakes).It validated the consistency in the corrected version of both datasets.
A semester of home-classroom

The 2020 academic year began in an unusual way. After a week of traditional classes at San Nicolas Regional School, National Technological University, Argentina, teachers and students had to go into a mandatory lockdown due to the COVID-19 pandemic. The objective of this paper is to discuss the experience and show the obtained results in a Numerical Analysis course of an engineering career. An online alternative was designed for the Numerical Analysis courses, and the second week of the course, the tasks in the virtual classroom started. The content of each module was presented in a series of lessons and weekly assignments were proposed throughout the semester. Students had to sit for two assessments, covering two topics each, as was usually done in face-to-face classes. The experience was demanding, for both professors and students, but good outcomes were achieved. This paper recommends that everyone involved in teaching and learning has had to adapt, given the circumstances. Keywords: Numerical Analysis, online course, assessment, home-classroom, semester.
Pedagogical Technologies in the Modern Educational Process

The article emphasizes that pedagogical technology is inextricably linked with pedagogical activity. The purpose of the article is to clarify the essence of the concept of pedagogical technology, its structure, differences from the methodology, the effectiveness of its use in extracurricular education. The results of theoretical analysis of philosophical, psychological and pedagogical scientific sources, generalization of innovative pedagogical experience, empirical data on the research topic are presented. The concept of pedagogical technology is specified, concrete results of the empirical research spent for the purpose of clarification of level of demand of pedagogical technologies in out-of-school educational system, use of pedagogical technologies at employment of circles, etc. are resulted. It is emphasized that planning itself opposes impromptu, intuitive actions, ie is the beginning (basis) of technology. The most significant features of pedagogical technology, its structure are defined. It is revealed that the difference between pedagogical technology and pedagogical methodology lies in the fact that pedagogical technologies can be reproduced and replicated. This guarantees the high quality of the educational process and the solution of those pedagogical tasks that are embedded in pedagogical technology. Techniques often do not guarantee proper quality. The conclusions emphasize that each didactic task can be solved with the help of appropriate learning technology, the integrity of which is ensured by the interdependent development and use of its three components: organizational form, didactic process and teacher qualifications. Standard technology must, on the one hand, ensure the unconditional realization of learning objectives, and on the other – be feasible for implementation in any educational institution and any teacher.
Implementasi Sistem Informasi Akuntansi Pembayaran Sumbangan Pembinaan Pendidikan Pada Lembaga Pendidikan Tingkat Menengah

SMA Plus Yaspida Sukabumi is an institution engaged in the field of education by combining modern boarding schools and schools. Until now, the process of SPP payment transactions by recording reports into the ledger. The problem that is always faced is the difficulty of finding data which takes quite a long time from the process of searching for data with a large amount of data in the payment data archive. The method of collecting data in this research is by means of observations, interviews and literature studies as well as the development of information systems in making applications using the waterfall method, and the programming language used is PHP, and the MYSQL database. The results of the design of an accounting information system designed to make it easier to search for data in the transaction process and report generation can be done easily and automatically So that the payment transaction process can be carried out effectively and efficiently and can minimize the risk of errors caused by human error.
Statement of the problem of structural synthesis of a atmospheric­optical system

The formulation of the problem of structural synthesis of a atmospheric-optical system is carried out and methods for determining the criteria for the effectiveness of atmospheric optical systems are investigated, which is one of the most important and essential problems in their optimization. The analysis of methods for assessing the impact of radioactive radiation on FSO shows that the created holistic methods assess the impact of radiation effects in the element base on the impact of only penetrating radiation. Thus, the presence of shortcomings in existing methods does not allow to fully solve the scientific problem of assessing the impact of radioactive radiation on the FSO receivers, as a basis for developing recommendations aimed at preserving the values of the detection ability of the receiver under the influence of radioactive radiation. The solution of the problem is possible in case of creating input data for the method, which would be able to take into account the stages and duration of the formation of the zone of radioactive contamination, the aggregate composition of the mixture of radio nuclides, the energy and activity characteristics of this mixture and the characteristics of adsorption-desorption interaction of a mixture of radioactive substances with the surfaces of the devices, and would also take into account the peculiarities of the impact on the FSO receivers. Formulation of the problem of synthesis of a telecommunication system with the definition of characteristics of structure options is formalized.
Organizing Practical Training of Bachelors of Vocational Training («Service and Operation of Motor Transport») within Dual System of Training Pedagogical Personnel with the Participation of Employers

The article deals with organizing practical training of students within the framework of the dual system of teacher training with the participation of the employer. Improving the effectiveness of practical training of bachelor students is possible through the development of an integrative model of vocational training of students in the dual system of teacher training, where the purpose, objectives, main stages, and functionality of each participant in educational relations are outlined. The development of structural practice-oriented modules, the formation of professional competencies, including the acquisition of a working profession, the preparation of educational and methodological support, the development of an interactive textbook and criteria for economic and social efficiency, such as the formation of professional competencies, migration, labor productivity are discussed in the article.
THE EFFECT OF VOCABULARY MASTERY AND LEARNING MOTIVATION ON STUDENTS WRITING SKILLS IN NARRATIVE TEXTS

&lt;p&gt;Abstract: This research aims to know the Effects of vocabulary and Learning Motivation on students’ writing skills in Narrative text. The population is 150 students. The sample is 84 students. The method is the survey method. Data collecting is taken through a test that consists of a multiplechoice test, questioner, and writing test. The research shows that: 1) there are significant effects of vocabulary mastery and Learning Motivation on students’ writing skills in narrative text. That is proved by Sig value 0,000 &amp;lt; 0,05 and Fo = 10,640; 2) there is a significant effect of vocabulary mastery towards students’ writing skills in narrative text. That is proved by Sig value 0,004 &amp;lt; 0,05 and to = 2,930. 3). There is a significant effect of Learning Motivation on students’ writing skills in&lt;br /&gt;narrative text. That is proved by Sig value 0,009&amp;lt; 0,05 and to = 2,678.&lt;br /&gt;Keywords: vocabulary mastery; learning motivation; writing skill; narrative text.&lt;/p&gt;
Auditable and Times limitable Secure Data Access Control for Cloud-based Industrial Internet of Things

Recently, the rapid development of Internet of things (IoT) and cloud computing technologies have greatly facilitated various industrial applications and Industrial IoT (IIoT). The widely deployed IIoT devices and large capacity of cloud significantly benefit for and bring convenience to various industrial sectors. However, there exist a large number of concerns about data security in IIoT, especially when a majority of sensitive IIoT data is shared in cloud. Although as one of the most promising technique, Ciphertext-Policy Attribute-Based Encryption (CP-ABE) can provide fine-grained access control for IIoT data shared in cloud, there are still many drawbacks which impede the direct adoption of conventional CP-ABE. On the one hand, unlimited IIoT data access times may disable data access service of cloud and bring serious consequences. On the other hand, the access policies of ciphertexts usually consist of much sensitive information and cause privacy exposure. Moreover, the high computation overhead also extremely hinders resource-limited users in IIoT applications. To solve these problems, we propose TAHP-CP-ABE, a k-times and auditable hidden-policy CP-ABE scheme which is suitable for resource-limited users and privacy-aware access policies with data access times limitation in IIoT applications. Specifically, TAHP-CP-ABE preserves the privacy of access policies by hiding only attribute values and realizes limited access times as well as efficient IIoT ciphertexts decryption with decryption test and outsourced decryption. The security analysis and experimental results indicate that TAHP-CP-ABE is secure, efficient and practical.