Reviewerly/exHarmony huggingface dataset:
Analisis Faktor Kompetensi Pedagogik Guru Dalam Proses Pembelajaran Menggunakan Algoritma C45

Pedadogic competencies are the competencies that teachers must have in managing learning so that the process can run well. Mining data is a series of processes to explore the added value obtained from information or knowledge that can form a decision pattern that will later be used in analyzing pedagogical competency factors the teacher in the learning process for one semester is based on the criteria of understanding students, designing learning, evaluating learning outcomes, learning that educates and dialogues and develops students to share their potential. Pedagogic assessment is done by summing the value of each criterion and using a standard value to determine the final value. The application of the c45 algorithm can be used to prodece a decission tree that will be taken to determine the form of rules or rules that will be used as a decision tree
CCRP: Converging Credit-Based and Reactive Protocols in Datacenters

As the link speed has grown steadily from 10 Gbps to 100 Gbps, high-speed data center networks (DCNs) require more efficient congestion management. Therefore, proactive transports, especially credit-based congestion control, nowadays have drawn much attention because of fast convergence, near-zero queueing and low latency. However, in real deployment scenarios, it is hard to guarantee one protocol to be deployed in every host at one time. Thus, when the credit-based protocols are deployed into DCNs incrementally, the network will convert to multi-protocol state and face the following fundamental challenges: (i) unfairness, (ii) non-convergence, and (iii) high buffer occupancy. In this paper, we propose a new protocol, called CCRP, aiming for converging credit-based and reactive protocols in data centers. Targeting the mostly deployed protocol, i.e. DCQCN based on explicit congestion notification (ECN), in DCNs, CCRP leverages the forward ECN to detect the network congestion in data queue and optimizes feedback control of the credit-based transports. Our experiment results show that this design can address the unfair link allocation and converge with reactive protocols rapidly. Furthermore, CCRP achieves high utilization and low buffer occupancy at the same time.
Functioning Expressive Speech Acts in the 2019 Indonesian Presidential Election Debates

This study aimed at investigating and explaining how the expressive speech acts functioned and differed in use among the candidates. A case study research design was employed. The data were the formal forms of expressive speech acts, lingual markers, and contexts. The sources were videos of five debate programs containing utterances, conversations, or dialogs made by both candidates. Candidates 01 belonged to Jokowi-Ma’ruf Amin, while candidates 02 belonged to Prabowo-Sandiaga Uno. Non-participatory observation and documentation techniques were used to collect data, and then they were analyzed using the content analysis model. Findings show sixteen functions of the expressive speech acts, namely, thanking, greeting, apologizing, blaming, praising, regretting, complaining, criticizing, expressing hopes, agreeing, disagreeing, expressing optimism, expressing wants, insinuating, making jokes, and appreciating. Then, candidates had different tendencies in functioning these expressive speech acts. Both candidates used greeting, apologizing, praising, complaining, disagreeing, expressing optimism, expressing wants, and making jokes almost equally. Then, candidate 01 tended to express hopes and insinuate, while candidates 02 were to thanking, blaming, regretting, criticizing, thanking, agreeing, and appreciating. Finally, in the 2019 Indonesian presidential election debate, both candidates functioned the speech acts still with Indonesian norms and values.
Performance appraisal of validation techniques in R

In this article various statistical models were fitted utilizing simulated symmetric and asymmetric data. Fitting of models were carried out with the help of various libraries like minpack.lm, matrices and nlme in R studio (version 3.5.1, 2018) and various selection criteria like RMSE, MAE, AIC, BIC were used for fitting of models. In order to evaluate different validation techniques the simulated data was divided in training and testing data sets and various functions in R were developed for the purpose of validation. Co-efficient summary revealed that all statistical models were statistically significant across both symmetric as well as asymmetric distributions. In preliminary analysis TFEM (Type First Exponential Model) was found out to be the best linear model across the distributions with lower values of RMSE, MAE, BIAS, AIC and BIC. Among non-linear models, Haung model was found out to be best model across both the distributions as it has lower values of RMSE, MAE etc. Different validation techniques like Half splitting, LOOCV and 5-folded cross validation were used in the present study. Based on the results of evaluation 5-folded cross validation performed better, as it resulted in lower rates of prediction error in comparison to its counter parts.
Analysis And Design Of Information System Report Of Medical Check Up In Chio Medical Center Clinic Web-Based

Chio Medical Center is one of the services in the health sector that is engaged in special medical check-ups for prospective employees who will work and permanent employees in a company. Currently, the system that processes medical check-up report data has not been computerized properly, so that data or files are stored conventionally and it is difficult to find the required data. The research method used in this study is the System Development Life Cycle (SDLC) method and system development using the Waterfall model which starts from analysis and observation of the system running in the company. The results of the observations show that the system that runs at the Chio Medical Center clinic has not been computerized properly, namely in recording examination reports using excel and word files so that they have not been stored in a structured database. This system is designed using the Dreamweaver application as a web-based editor tool and uses the PHP and MySQL programming languages ​​as the database. The result of this research is a web-based medical check-up report information system which is expected to assist employees in inputting data and improve the process of providing information services to clients so that it is faster and more accurate.
Various Models for the Conversion of Handwritten Text to Digital Text

Handwritten Text Recognition (HTR) also known as Handwriting Recognition (HWR) is the detection and interpretation of handwritten text images by the computer. Handwritten text from various sources such as notebooks, documents, forms, photographs, and other devices can be given to the computer to predict and convert into the Computerized Text/Digital Text. Humans find easier to write on a piece of paper rather than typing, but now-a-days everything is being digitalized. So, HTR/HWR has an increasing use these days. There are various techniques used in recognizing the handwriting. Some of the traditional techniques are Character extraction, Character recognition, and Feature extraction, while the modern techniques are segmenting the lines for recognition, machine learning techniques, convolution neural networks, and recurrent neural networks. There are various applications for the HTR/HWR such as the Online recognition, Offline Recognition, Signature verification, Postal address interpretation, Bank-Cheque processing, Writer recognition and these are considered to be the active areas of research. An effective HTR/HWR is therefore needed for the above stated applications. During this project our objective is to find and develop various models of the purpose.
Problem Analysis of Online Based User Education at IAIN Kudus Library During Covid-19 Pandemic

Through the research in this paper, the author analyzes the problems that arise during the implementation of online-based user education activities at the IAIN Kudus Library. This research was conducted with a qualitative research approach. The data collection method is carried out in two ways, namely non-systematic observation and using the library research method. The method of collecting data through library research is a method of collecting data through books and journal articles which according to the author can support the discussion in this paper. The results of this study indicate that the main problem in online-based user education activities at the IAIN Kudus Library during the pandemic is the problem of information literacy skills, communication problems, and technical problems. The results obtained in this study are expected to be an input, especially for the IAIN Kudus Library and other libraries in general in carrying out user education activities in the future.
Low-cost continuous measurement system to learn the relationship between the electrical conductivity and temperature in brackish waters

This work proposes the use of inexpensive experimental equipment to allow engineering students and professionals to observe and deepen their understanding of the different relationships between water quality parameters.In the case considered in this work, the experimental equipment is designed to observe and enable an understanding of the relationship between the electrical conductivity (EC) of brackish water and its temperature (T).The experimental design includes an embedded Arduino Nano microcontroller system.Importantly, the design is based on flexible and open-source software and hardware, facilitating its modification for other related studies.In this work, the effect of T on the EC of sodium chloride and potassium chloride solutions at different salinities was determined.A mixture of these two salts with magnesium chloride to represent the main components of seawater was also studied.It is shown that the relationship between T and EC, at different concentrations of the salts, fits a linear model which includes different equations resolved with the data taken during the empirical study.EC conductivity is a measure of the current conducted by ions present in the water (phenomenon of conductors of the second kind) and depends on the concentration and nature of the ions and the temperature and viscosity of the solution, as reported in ISO 7888-1985.
Qualitative Neuro Linguistic Programming using Meta Modeling and Python

Neuro-Linguistic Programming (NLP) is a way to change the behavioral patterns of the human mind.This technique is very useful to reduce the stress and anxiety patterns of the mind.These patterns are considered as negative sentiments of the human mind.The sentiments and emotions will become the programming of the human mind.The human brain tends to store each piece of information and make it programmed in a short interval of time.NLP is a vast area to recognize the emotional as well as practical aspects of the human mind.NLP Workshops and various training methods have been used to change and trained the behavioral patterns of the mind.V/KD used in earlier research and Meta-modeling in current research will be the important tools to convert the old patterns into new ones.This research paper will focus on the realistic mind pattern and improve it based on the current patterns of mind.NLP workshops and Qualitative surveys have been used in the methodology of the workshop.Data has been collected from various social communities and professional organizations.This research has been more impactful when used Meta modeling tools and Python for implementation.Meta-modeling tools are used to delete the old patterns of mind and create a new one as per the needs and requirements.A large number of participants attended the trial versions of NLP and enrolls themselves in NLP workshops to build new behavioral patterns.In this research, various NLP tools have been used to build new behavioral patterns of the human mind.
COMBINING SUPER-RESOLUTION ALGORITHM (GAUSSIAN DENOISING AND KERNEL BLURRING) AND COMPARING WITH CAMERA SUPER- RESOLUTION

A good Super Resolution (SR) algorithm is one of the key successes to filter frequency that creates noise to a picture. Previous research that has published was concluded the Camera SR is the best algorithm to filter this frequency based on their Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) results. However, the current approach to achieving high resolution have not yielded enough signal to filter unwanted pixel. Hence, there is a need to find a better approach to those leads to higher resolution through lower noise reduction. To fulfill this need, this thesis proposed to utilize two proven SR algorithms; Gaussian Denoising and Kernel Blurring. This thesis will not only be obtaining these two existing algorithms in a stand-alone form but hence the combination of them (two combinations) will also be obtained as the new possible algorithms that can be utilized to filter frequency that create noise to a picture. To reach the research objective, the method that will be used is by training a total of four algorithms one by one to a public data set that contains 200 pictures and gets the PSNR and MSE results of each algorithm. Comprehensive experimental results show that all those four SR algorithms outperform previous SR algorithms in commonly used data set with variously higher PSNR by 21% and lower MSE by 5%.
FORMATION OF PROFESSIONAL COMPETENCE OF UNIVERSITY STUDENTS IN THE PROCESS OF PROJECT-ORIENTED TRAINING IN MICROWORKS PROGRAMMING

This article presents the key competencies for an IT specialist, which are formed during project-oriented training during the programming of microrobots. A pedagogical experiment was carried out using this technique when studying the programming of microrobots at the Faculty of Information Technology (L.N. Gumilyov ENU). The project was selected taking into account the characteristics of the basic components of the microrobots. As the training platform, we chose the Arduino microcontroller. The study identified the basic requirements for aspiring candidates for positions in the IT industry on the HeadHunter website. Also, based on the OECD (Organization for Economic Co-operation and Development) documents and our own research, an IT specialist development map was developed. This map shows the main positions of the IT industry. The individual development map of each IT specialist is unique, while it was interesting to highlight certain patterns and bring them into our scheme.
EFFECTIVENESS OF ONLINE TEACHING BY USING WHATSAPP MESSENGER TO TEACH WRITING ON REPORT TEXT AT THE ELEVENTH GRADE OF MA SEJAHTERA PARE - KEDIRI

Teaching writing is not as easy as teaching reading or speaking. On some cases, it sometimes shows monotonous method so that most students feel bored; moreover, they do not understand the material at all. In teaching writing, the teacher must be creative to make students understand the material because writing is a difficult arithmetic number. It aims to determine if the method is effective to teach writing or not in this pandemic era. This research used is pre-experimental design with one-shot case study. In this research, the researcher took one class as the sample. The subject research is eleventh grade. The instrument used in this thesis was test. In collecting the data, the writer used pre-test and post-test. Before conducting post-test, the writer gave treatment. After getting enough data, the researcher calculated the data by using SPSS to find out the effectiveness of online teaching by using WhatsApp messenger in teaching writing of report text. Based on the result of the pre-test and post-test , it shows that there is a difference significance between pre-test and post-test and teaching writing by using WhatsApp messenger is one of the effective way. It is also supported by Dumanauw (2018) on the research. It shows that The use of WhatsApp to teach writing of recount text is succeeded in increasing students’ writing achievement.
Cybercrime on the Example of Selected Botnets

The article presents threat analysis resulting from botnet activity on the Internet.Botnet networks are a very common tool among cybercriminals.They enable the acquisition of large amounts of data from computers infected with the virus that creates the given network entirely subordinated to its creator.Currently, many unidentified botnets are a threat to Internet users.Those identified and diagnosed answer the problem of how dangerous a botnet is in the hands of cybercriminals.The article presents statistics and analysis of selected botnets.Currently, there is a decline in the interest in botnets in cybercrime, although many new threats appear, suggesting that botnets will continue to be popular and are still a dangerous weapon in the hands of criminals.
FORMATION OF PHILOSOPHY AS A MEANS OF HUMAN DEVELOPMENT

The article considers the problem of the relationship between philosophy and human development. The interrelation of philosophical thought and mental development of a person at different stages of social progress is substantiated. The main philosophical currents are analysed that directly influenced the implementation of the educational process. The article proves that depending on the level of development of scientific knowledge the subject and purpose of philosophy were understood differently, its content acquired one or another direction, influencing in some way on the educational process, understanding its essence, determining the basic means of solving problems of teaching and education personality. Our analysis of the scientific literature testifies to the relevance of the stated problem for thinkers, philosophers, teachers of different historical times. Depending on the level of development of scientific knowledge, its content acquired one or another direction, influencing in a certain way the educational process, understanding its essence, determining the main means of solving problems of teaching and educating the individual. The study of scientific achievements of representatives of different philosophical schools allows not only to state the commonalities and differences of their proposed ideas, but also to trace their relationship and interaction, which, being preserved and supplemented, can be an important factor in solving the problem in modern social development. The article proves that depending on the level of development of scientific knowledge the subject and purpose of philosophy were understood differently, its content acquired one or another direction, influencing in some way on the educational process, understanding its essence, determining the basic means of solving problems of teaching and education personality.&#x0D; Keywords: philosophy, educational process, anthropocentrism, self-development, spiritual culture, development, personality, freedom.
Structural and Substantive Model of Forming Project Competence of Future Teachers in University Environment

. The relevance of the problem under study is associated with an important task of the higher education system, the preparation of future teachers for project activities in an educational institution. A modern teacher should have a wide range of knowledge, skills and abilities in the field of project activities. The purpose of the study is to develop a structural, content model in which key importance is attached to pedagogical conditions as a connecting link in the system of vocational training blocks, it contributes to the formation of project competence of future teachers in university environment. In this model the subject of the research is the model of forming the project competence of future teachers in university environment, which is a combination of the following interrelated blocks: target, technological and effective, including principles and approaches, developed stages and levels of forming the project competence of future teachers, as well as their criteria and indicators. Building a structurally meaningful model allows you to qualitatively analyze and plan the research and the implementation of this process in university practice. The methodological approaches and principles that are the basis of the model, the structure and content of its components reveal the mechanism for the development of project competence of future teachers. Research methods used are generalization, analysis of information, its synthesis and comparison. The theoretical significance of the study lies in the fact that its results enrich the theory and methodology of vocational education in the field of forming the project competence of future teachers; the practical significance lies in the effective formation of the project competence of future teachers in the conditions of the university.
The effect on student behaviour and achievement of removing incentives to complete online formative assessments

This research explored the effect of incentives to complete online quizzes during a course. When a 1% weighting incentive per quiz was removed, student engagement dropped dramatically. There is also evidence that students who continued to complete quizzes did so with less vigour, spending less time on each quiz, starting them later in the week and having fewer attempts per quiz on average. The average mark per quiz was also lower once an incentive to complete them was removed. There was no significant difference in examination performance based on how many quizzes a student continued to attempt after incentives were removed. However, a comparison to a control group of students who sat the same invigilated assessments showed that, relative to term test performance, final exam mean score was 7% lower for the cohort who had the incentive to complete online quizzes removed. This differed from the control group, who showed no difference between term test and final examination mean scores when quiz incentives were maintained for the entire course. Building on previous research, this study demonstrates that a binary variable representing engagement in online quizzes did not capture the quality of that online engagement.&#x0D; Implications for practice or policy:&#x0D; &#x0D; Completion of online formative assessments by students is reduced if course leaders remove small-stakes incentives.&#x0D; The removal of small-stakes incentives by course leaders harms student motivation and achievement. Specifically, students who complete formative online assessment without incentives have fewer attempts, start them later in the availability window, spend less time completing them and record a lower mean score than those with incentives.&#x0D; Average final examination achievement is lower when incentives to complete online formative assessments are removed by course leaders.&#x0D;
REALISASI FRASA ATRIBUTIF DALAM WACANA NARASI MAHASISWA UNIVERSITAS BINA DARMA DAN APLIKASINYA DALAM PEMBELAJARAN

This research will describe attributive endocentric phrases in the narration text student of Bina Darma University, and the application of Bahasa Indonesia learning, especially material for editing phrases. The method used in this research is a qualitative description method. This data research is in the form of words and phrases. The data source for this research is the narrative story student of Bina Darma University. The data collection technique used was the reading and note taking technique. Data analysis using descriptions. The research results presented in this article as a sample are 5 data. The data is intended to be realized in Indonesian language learning, especially the material of editing phrases. The realization of the results of the analysis of attributive endocentric phrases in learning can be applied in the teaching material for editing phrases. The teacher can use the results of the analysis as teaching material in the learning process which is conveyed in the lesson plan