Reviewerly/exHarmony huggingface dataset:
PEMANFAATAN QUICK RESPONSE CODE UNTUK PENCARIAN INFORMASI PRODUK BERBASIS MOBILE

Dunlopillo's sales require higher mobility. When Sales is outside the store area, sales alsoexperience difficulties such as updating price information, and searching for productinformation. With the increase in the number of products, sales will be difficult to rememberinformation from products.QR Code is the development of a barcode or bar code that is only able to store informationhorizontally while the QR Code is able to store more information, both horizontally andvertically. The purpose of the QR Code is to convey information quickly and also getresponses quickly.Researchers collect data through indirect observation, interviews, and literature studies toexamine solutions that can be proposed and answer problems from the background ofresearch.Based on the research, an application is needed with the use of the QR Code to supportconvenience and convenience in carrying out Sales work activities. QR Code can help Salesin getting information more quickly.The conclusion obtained by the researcher is that the QR Code is needed by Sales tofacilitate Sales in conducting product searches, with the existence of mobile-basedapplications to make it easier for Sales to do marketing, mobile-based applications also helpretailers in making orders.Keywords: QR Code, Information, Mobile
НАУЧНО-ПЕДАГОГИЧЕСКИЕ ОСНОВЫ МОНИТОРИНГА КАЧЕСТВА ОБУЧЕНИЯ СТУДЕНТОВ

Monitoring and evaluation are fundamental processes carried out in educational institutions in relation to the activities of students (assessment of educational achievements), activities of trainers (certification of teachers) and the entire educational institution (certification, accreditation, etc.) At the same time, control and evaluation are discrete in nature, they are often not systemic in nature, control and assessment processes are the prerogative of a limited number of participants in the educational process. Thus, monitoring and evaluation become not only a prerequisite for improving the activities of an educational institution, but also a function that should be carried out regularly. As a result, the education system, as noted above, penetrates the understanding of the importance of quality monitoring. In this article we consider the scientific and pedagogical foundations of educational monitoring, as well as the work of scientists who define the concepts of “quality of education”, “monitoring in the education system”, “pedagogical monitoring”, and “monitoring the quality of education of university students”.
Pengaruh Media Berbasis IT terhadap Aktivitas dan Hasil Belajar Peserta Didik

The purpose of study was determine the positive and significant effect of use IT based media usage activity and study result theme 3 sub - them e 6 in the fourth grade students. The reaserch design used was non-equivalent control group design. The study population was 40 st u dents. The study sample was determined by using non probability sampling with 20 students. The study instrument s used were observation sheet and test. The calculation of  hypothesis testing used Analilis of Variance (ANOVA) two direction (two-way analysis of varian ce ). The result showed F hitung 10 . 69 > F tabel 3.98 (with α = 0.05) can be concluded there is appositive and significant based IT media to activity and study result fourth grade student at the primary school . Tujuan penelitian adalah untuk menganalisis dan mengetahui pengaruh yang positif dan signifikan penggunaan media berbasis IT terhadap aktivitas dan hasil belajar tema 6 subtema 3 kelas IV SD Negeri 3 Way Galih. Jenis penelitian ini adalah penelitian eksperimen. Desain penelitian yang digunakan yaitu non-equivalent control group design . Populasi penelitian berjumlah 40 peserta didik. Sampel penelitian ditentukan menggunakan  nonprobality sampling dengan jumlah 20 peserta didik. Instrumen penelitian yang digunakan lembar observasi dan soal tes. Hasil perhitungan uji hipotesis menggunakan rumus uji  Analisis of Varianve (ANOVA) dua arah ( two-way analysis of varian ). Hasil penelitian menunjukkan F hitung 10,69 > F tabel 3,98 (dengan α = 0,05) dapat disimpulkan bahwa terdapat pengarh media berbasis IT terhadap aktivitas dan hasil belajar peserta didik kelas IV SD. Kata kunci : aktivitas, hasil belajar, media IT
Uso de una app móvil para evaluar la calidad de la enseñanza superior: Estudio de neuromarketing

Universities belonging to the European Higher Education Area -EHEA- need procedures to assess the quality of their titles. In this sense, much has been discussed about the most adequate methods to measure the satisfaction of students, as well as about how useful this variable is in reality. Taking into account the increasing demand for mobile learning applications -the so-called m-learning-, a new app to assess the quality of teaching was tested, employing neuroscientific methods to find out the emotions experienced by 22 students of the degree in Advertising and Public Relations from Complutense University. Consequently, the employed set of tecniques included registering the travel of the gaze (eye tracking), the facial expressions and the dermoelectric response of the skin. The results reflect a huge acceptance of the app. When screenshots were showed, the students payed attention to the most important areas, regardless of their genre or the academic year they were in. In addition, they conceded high ratings in the questionnaire, something that evidences how inclined they are towards this kind of tools.
ЭКОЛОГИЧЕСКАЯ КУЛЬТУРА ОБУЧАЮЩИХСЯ В ВЫСШЕМ УЧЕБНОМ ЗАВЕДЕНИИ

The article discusses the formation of environmental culture of students in the educational process based on an integrated approach. The analysis of the study of environmental issues when considering the nature, population and economy of the territory. The model for the formation of the ecological culture of students at the Department of Geography and Tourism at the Kazakh National Women's Teacher Training University is a system consisting of the following components: goals, objectives, content, forms, methods and means of education. This model contributes to the effective formation of students' ecological culture when the following conditions are realized: - introduction into the working curriculum of the corresponding elective disciplines, contributing to the improvement of environmental culture teachers; -implementation of educational activities of students on the basis of new educational programs of disciplines; - implementation of the ecological approach in developing the content of disciplines during the educational process, as well as in the organization of research work of students, thereby ensuring the continuity of the formation of the ecological culture of students.
The Effect of Using Sustained Silent Reading (SSR) Method to the Students’ Ability in Reading Report Text at the Eleven Grade of SMA Negeri 2 Pematangsiantar

This research discussed about the effect of Sustained Silent Reading method to the students‟ability in reading report text at the elevengrade of SMANegeri 2 Pematangsiantar. This research aimed to find out the effectiveness of students ability in reading report text that taught by using Sustained Silent Reading method. This research used quantitative research approach with two groups through pre-test and post-test design. The researchers took samples were two groups, namely XIPMIA3 and XIPIS 1, with the total was 68 students selected by applying random sampling. The sample was divided into Experimental group (XI PMIA 3) was taught by applying Sustained Silent Reading method while the control group (XI PIS 1) was taught by applying Conventional method. There were two data used in this research. They were pre-test and post-test. The findings indicated that there was a significance difference between students‟ post-test in experimental group and control group. The mean score of post-test in experimental group (83.38) was classified as very good. While the mean score of post-test control group (72.20) was classified as good. Based on t-test, the researchers found that the value of the t-test (6.246) was higher than t-table (1.997) at the level of significance 5% with degree of freedom (df)= 66. The use of Sustained Silent Reading method was significantly affect the students‟ ability in reading Report text at the eleven grade of SMA Negeri 2 Pematangsiantar.
Pensando las Trayectorias Escolares en el (del) nivel secundario común obligatorio en tiempos de pandemia

The approach to the Educational Pathways at the mandatory common high school level requires keen-eyes, of educational policies that operate to sustain such pathways. Thinking about Educational Pathways in pandemic times challenges, not only the State's policies in educational matters but also institutional management and pedagogical practices, as long as these could offer spaces that enable the pedagogic situation and the construction of subjectivity.
ПЕРСОНАЛИЗИРОВАННОЕ ОБУЧЕНИЕ НА ОСНОВЕ УЧЕТА ТИПА ВОСПРИЯТИЯ ОБУЧАЮЩИМИСЯ УЧЕБНЫХ РЕСУРСОВ

The article presents materials of research practice in teaching chemistry at the Nazarbayev Intellectual School. The study is based on the problem of students' difficulties in working with educational information, which makes difficult the development of information competence and natural science functional literacy. The objective of the study is establishing a correlation between the individual type of perception of information by the student, the nature of the learning resource provided by the teacher and the organization of work of the student with it, as well as educational achievements. The basis of research training is a differentiated approach as a special organization of personalized training. The results obtained allow us to establish: taking into account the individual type of perception of information in the proposed training ultimately ensures the progress of the student in an individual educational trajectory.
Speaker Recognition: Progression and challenges

Speaker recognition is one of the field topics widely used in the field of speech technology, many research works has been conducted and little progress has been made in the past five to six years, and due to the advancement of deep learning techniques in most areas of machine learning, it has been replaced previous research methods in speaking recognition and verification. The topic of deep learning is now the most advanced solution to verifying and identifying a speaker's identity. The algorithms used are (x-vectors) and (i-vectors) which are considered the baseline in modern work. The aim of this study is to review deep learning methods applied in identifying speakers and tasks for validating older solutions (Gaussian mixture model, Gaussian mixture super vector model and i-vector model) to new solutions using deep neural networks (deep belief network, deep corrective learning network). ) As well as the types of metrics to verify the speaker (cosine distance, probabilistic linear discrimination analysis) as well as the databases used for neural network training (TIMIT, VCTK, VoxCeleb2, LibriSpeech).
Applying Accuracy Strategies to Avoid Misunderstanding

With the background you gained about recognition and intents in Chapters 10 and 11, this chapter is the first of two on specific techniques you can apply to make VUI conversations more successful for users. These strategies focus on increasing the chances that the VUI recognizes and interprets correctly and that it can recover when misunderstandings happen.
Penerapan Algoritma Prefix Code Pada Kompresi File Gambar

Data compression is a way of changing data from a set of characters to be converted into a code with the aim of saving storage space. Along with the development of the era, the more advanced devices result in the resulting data size increasing and continuing to increase, if the data size is large it can cause waste of data storage space and waste of quota usage when sharing because it requires a technique to change the size of the data so that to be smaller. The author will apply how it works on image files. In this study, an application to reduce the size of an image file into an application with the Prefix code algorithm. The Prefix Code algorithm is a data compression algorithm that can compress image files with the aim of reducing the size of the data in the image. There are many types of methods or algorithms in image compression, but in this algorithm the writer only wants to know the compression process using the Prefix Code algorithm using the C1 code where the author has successfully compressed an image file with the prefix code algorithm using the C1 code has the ability to compress 37 image data, 5% in an image file
Double Steganography - New Algorithm for More Security

The 9thand 20th centuries have given rise to great technologies and tools which are making our lives comfortable. In the field of technology and communications, we have billions of electronic services and applications. These technological developments and the unprecedented increase technology, applications and services combined, with the expansion and proliferation of the internet, have greatly increased the frequency of data transfer over the internet. Sharing data over the internet has become a de facto standard of data transfer. This has led to an increase in the vulnerability of data being hacked during its transfer from one port to another. On the other hand, the capabilities of malicious parties in breaking the methods of protection and disclosing confidential information has also advanced and increased tremendously. Thus, organizations and individuals are looking for ways to protect their data from being hacked while it is shared with third parties. Steganography is one of the most effective ways to protect information as it uses encryption algorithms and hides information in a way that prevents attention being drawn from hackers. This research presents a new algorithm in the field of Steganography to increase the level of protection. Compared with the earlier methods, it has a double effect of the Steganography process. We call it ‘Multi-Layered Steganography Algorithm’ (MLSA). We also provide the results of the implementation and testing of the MLSA, which indicate the effectiveness of MLSA according to the protection level and resistant to revealing attacks. But, in contrast, MLSA is suitable only for small sized data sets, and does not have adequate immunity to jamming or compressing data, which we shall study in future.
Chaos Based Image Encryption Using 3- Dimension Logistic Map

Abstract The importance of digital media has been increased in this pandemic; the security of the media generated is huge issue. This led to development of cryptographic techniques that are secure and fast. Chaotic image encryption is gaining popularity considering its ergodic properties. In this paper a Chaotic map-based cryptography based on iterations with three parameters is proposed, the generated chaotic sequence is mixed with the key to achieve partial security. Then the new sequence is used for scrambling and diffusion of pixel values of image. The result was evaluated by using many measures like NPCR, UACI, MSE, Key sensitivity analysis. The demonstrated result shows the proposed scheme is reliable and is resistant to differential cryptoanalysis attack.
Регулярные выражения для обнаружения Web-рекламы на основе автоматического скользящего алгоритма

This paper presents the automation of a Web advertising recognition algorithm, using regular expressions. Currently, the use of regular expressions, optical character recognition, Databases, and automation tests have been critical for multiple Software implementations. The tests were carried out in three Web browsers. As a result, the detection of advertisements in Spanish, that distract attention and that above all extract information from users was achieved. The main feature of the algorithm is that automatic and versatile execution does not require access to the code of the page in question and that in the future it can be an application with background operation. In addition, being supported by optical character recognition gives us acceptable efficiency in detecting advertising.
Theoretical Aspects of the Quality of Educational Services Provided

a modern education system must meet the needs of society. But from the point of view of considering the theoretical side of the issue, the education system that provides educational services is a service provider not only for the end user of the service. In various views of the theory of the question, educational services are considered as services for the state, society and the student. The article considers the main approaches to determining the quality of educational services and the regulatory and legal support of the educational process. The object of the research is the theoretical foundations of the quality of educational services. The subject of the study is the quality of educational services.
Missing Data Imputation with Hybrid Feature Selection for Fertility Dataset

Missing values poses a great concern in medical analysis as it may alter the result of analysed data and cloud the judgement of the medical practitioner which ultimately affecting the precise treatment a patient should receive.Even though there are many imputation methods that have been developed, the main issues with missing values such as accuracy and bias in prediction remain unsolved.In this paper, Fuzzy c-means (FCM) is employed as the imputation method.However, FCM does not consider the factor of irrelevant features.Noise and redundant data in the irrelevant features can reduce the accuracy of imputation and increase the computational time of FCM.An approach to tackle this problem is by using a feature selection method.By removing features that are irrelevant, the accuracy of imputation can be increased.Therefore, in this study, a hybrid imputation model Principal Component Analysis-Support Vector Machines-FCM (PCA-SVM-FCM) is proposed.The effectiveness of the proposed model is tested on a medical dataset which is Fertility dataset.Its performance is then validated by comparing it with SVM-FCM.Experimental result demonstrated that the proposed model performs better than SVM-FCM by producing a much lower error in estimation when tested using RMSE and MAE.The proposed model was then further verified by using Thiel's U test and producing low U value that indicates it is sufficient and significant.Therefore, PCA-SVM-FCM can be a feasible imputation tool to assist medical practitioner to obtain a reliable and better data analysis result.
Pengembangan Aplikasi Pembelajaran Mobile Learning Dengan Ispring Suite Pada Mata Kuliah Penilaian Hasil Belajar

The use of E-Learning applications is currently very much needed in overcoming gaps in face-to-face lectures along with technological developments and learning gaps during the pandemic. This study aims to develop an Android-based ISpring Suite 8.0 learning application for Mechanical Engineering Education Students as one of the E-Learning facilities in the Learning Outcomes Assessment course. In addition, this study aims to determine the feasibility of applications and student perceptions of the applications being developed. This study uses research and development methods. The results of the feasibility test data for the learning application from media experts can be obtained by a percentage of the feasibility of 91.4% in the very feasible category, for the results from material experts of 76.9% in the feasible category, for the results of the respondent's assessment of the product trial by 86% in the category. very feasible, and the results of the respondents' assessment on the usage test were 83.8% in the very feasible category. In addition, students' perceptions and expectations of the Mobile Learning application in the Mechanical Engineering Education Study Program amounted to 80%. Based on the criteria of Steer (1993), thus, the level of satisfaction is between (80% - 100%) which means high satisfaction, so the quality of the Mobile Learning application is perceived by users to achieve high satisfaction.
Performance Comparison of Abstractive Text Summarization Models on Short and Long Text Instances

One of the desirable features of a text summarization system is its ability to generalize on unseen text. In this paper, models representing three main categories viz, Pointer-Generator networks, Transformer, and Bidirectional Encoder Representation from Transformer (BERT) are analyzed for their performance on unseen text. The models are trained and tested on the benchmark CNN/Daily Mail dataset containing 287,226 training, 13,368 validation and 11,490 test instances respectively. For analyzing the generalization capabilities, the models trained on CNN/Daily Mail dataset are tested on two different datasets - GigaWord and DUC 2004 containing 1951 and 500 test instances respectively. The short and long text test instances in the CNN/Daily Mail test set are partitioned into groups to compare the performance of the models on short and long text instances. The performance of the models is carried out using the ROUGE metric.
Didactical Potential of Using the Electronic Textbook in the Process of Learning Computer Graphics

The article discusses the didactic potential for the use of a modern multimedia textbook as software, as an auxiliary visual means of teaching computer graphics. The article gives instructions and suggestions for teaching and popularization of the subject of computer graphics on the basis of modern electronic textbooks and their use.
Penerapan Model Pembelajaran Picture And Picture Untuk Meningkatkan Kemampuan Menulis Karangan Deskripsi

This classroom action research aims to improve the ability to write descriptive essays for fifth grade students in the first semester of SD Negeri 1 Tejakula in the 2019/2020 school year through the application of the ficture and ficture learning model. This research was conducted in 2 cycles. The design of each cycle consists of planning, implementing, observing / evaluating and reflecting. The research subjects used were the fifth grade students of SD Negeri 1 Tejakula which provided 25 student. Data were analyzed using descriptive statistics. Based on the data obtained, it can be shown that the application of the learning model of pictures and pictures can improve the ability to write descriptive essays for fifth grade students of SD Negeri 1 Tejakula, starting from pre-cycle 64.00% which is classified, cycle I of 69.00% which is classified as sufficient and increased again in the second cycle of 76.40% which is classified as good
КОМПРОМИССНАЯ ПАРЕТОВСКАЯ ОЦЕНКА ПАРАМЕТРОВ РЕГРЕССИОННОЙ МОДЕЛИ УЩЕРБА ОТ КИБЕРПРЕСТУПЛЕНИЙ

The paper builds a regression model of the influence of the US gross domestic product, as well as the number of data breaches and exposed records, on the damage from cybercrimes. The parameters of this model represent a compromise Pareto estimate in the problem of minimizing the vector loss function. In identifying the parameters of the model, the method of least squares and minimization of the vector loss function are used. To improve the adequacy of the model, a compo-site variable is used that summarizes indicators characterizing the stolen information. The US statis-tical data for 2005–2019 is used as an information base for the model.
EARTHQUAKE PREDICTION USING MACHINE LEARNING

An earthquake is a natural calamity that is well-known for the devastation it causes to both naturally existent and artificial structures, including as buildings and residential areas.Seismometers are used to measure earthquakes because they detect vibrations induced by seismic waves travelling through the earth's crust.To forecast earthquakes, an examination of current machine learning classifier approaches is employed.Machine learning algorithms such as Logistic Regression, Support Vector Machine (SVM), Random Forest Classifier, and K-Nearest Neighbours,decision tree are used to forecast earthquakes.After examining all of the previously utilised methods, the best algorithm will be considered.The method used to forecast the property will be investigated,as will the data analysis.