Reviewerly/exHarmony huggingface dataset:
The School Literacy Program: The Parental Role in Improving Literacy Skills on Online Learning of Elementary Students

Parents who have a high level of education tend to understand more and think that education is very important for their children, so they prioritize education for their children. In addition, the way to educate children tends to be different between parents who have a high level of education and those with low education. The aim of this study is to analyze the parental role to improve literacy skills on students. This study is qualitative research with the subject is parents of students, moreover the Interview will be the instrument and data collection of this study. However, data collection of this using interview with survey method to get data from participants. However, data triangulation is data analyzing method for this study. The instrument used is a questionnaire. The population is 134 people, using a tolerance level of 5%, it can be seen that the number of samples in this study were 100 parents. The result found that Online learning is inseparable from problems that are obstacles in its literacy skills of elementary students, including online learning for elementary school students such as limited telecommunication networks. It is important to know the barriers for parents to assist their children to improve their literacy skills in online learning, solutions and projections of online learning for elementary school students.in conclusion, role of parents could take responsibility of their children in improving literacy skills through online learning for elementary school.
Efficient ELM Model With Parameter Optimization Using Pso Algorithms in the Prediction of Combustion Pressure Parameters of Dsi Engine Using Ethanol- Gasoline Blends

The present study focused mainly on developing PSO based ELM model to predict cylinder pressure associated parameters. Performance of PSO-ELM model then compared with ELM model to obtain its credential. For training and testing the models, data has been acquired through experiments on a Twin Spark Ignition (TSI) gasoline engine using EGB as fuel. The various operating variables are treated as input data whereas cylinder pressure associated parameters are treated as output data for the model. The result of the proposed modelling study indicated that PSO-ELM model has obtained the best performance with lowest value of MSE, MAPE (%) and hidden layer size as compared to ELM model. Hence PSO-ELM results in an efficient model structure with great generalization performance. Further, it is also observed that PSO-ELM takes more time as it calls for an iterative procedure for searching the optimal solution as compared to ELM, which takes only a single epoch.
Increase Interest in Learning Mathematics for 5th Grade Students Using Android Game-Based Learning Media

This research article is based on observational data that indicates students' learning styles, frequently used instructional media, low math scores of 5th grade students, and students' inability to comprehend the taught materials. The objective of this research is to analyze students' learning interest in mathematics subjects using game-based educational media. The study was conducted in a 5th grade class with a total of 26 students. The research method used was Research and Development (R&amp;D), and the development model employed was the ADDIE development model. The game product was tested by experts and students to assess the validity of the educational game. The results from expert evaluations yielded 92% for subject matter expertise, 94.67% for instructional design expertise, 94.44% for instructional media expertise, 100% for individual testing, and 92.92% for small group testing. The research involved 26 respondents who were 5th grade students in a primary school. The effectiveness test results showed a significant difference between the math scores of 5th grade students before and after using game-based Android instructional media. It can be concluded that game-based Android instructional media can enhance students' learning interest in 5th grade mathematics subjects at the primary school level.
A Narrative Analysis on Vlogs

The vlog has become an increasingly popular genre, being found most often on the YouTube platform. Starting from the premise that it has a narrative form, we randomly selected five texts that we segmented, following the discourse marks related to each sequence and we quantified the number related to each one. The next step is represented by noting the numbers in pie chart type graphs in order to see which is the predominant one. For a better visibility of the sequences, we opted for the use of different colors for each of them, colors that can also be found in the charts. Thus, starting from the theory of narrative genres (according to W. Labov and J. Waletzky) and the three-level analysis model developed by Sophie Moirand, we proposed a discursive analysis aimed at showing that vlogs fall into the category of narrative genres. We mention that this article does not pretend to present a complete analysis but it is the starting point of a larger one, with a relevant oral corpus, which will thoroughly debate the vlog category. Purpose: Analyzing vlogs from a narrative approach. Patients and methods: Sequential analysis Results: Narrative sequence is predominant Conclusion: Vlogs can be considered a narrative genre
Isoperimetric 3- and 4-Bubble Results on R With Density |x|

We study the isoperimetric problem on ℝ1 with a prescribed density function f(x)=|x|. Under these conditions, we find that isoperimetric 3-bubble and 4-bubble results satisfy a regular structure. As our regions increase in size, the intervals that form them alternate back-and-forth across the origin, with the smaller regions closer to the origin. This expands on previously known observations about the single- and double-bubble results on ℝ with density |x|p.
Polynomials in Fp[x] Which Commute Under Composition

Let F be a finite field and let f be a linear polynomial in F[x]. We investigate the number of polynomials of degree d which commute with f under composition. In so doing, we rediscover a result of Park, but with a conceptually simpler proof.
Implementasi Kurikulum 2013 Melalui Analisis Buku Ajar PAI Kelas XI di SMA N I Balapulang

This study examines the content aspects of the grade XI Islamic Religious Education textbook in terms of the four core competencies of the 2013 curriculum, which include spiritual attitudes, social attitudes, knowledge and skills. Researchers chose SMA N 1 Balapulang in 2020/2021 as the object of implementation of the textbook. The type of research that will be used is field research. Data collection using observation, interview, and documentation methods. The analysis used is descriptive of textbooks and field objects as a place of implementation, namely at SMA N I Balapulang class XI. The results of this study indicate that the PAI textbook used is quite ethical, aesthetic, communicative and functional. In terms of writing, spelling, punctuation, vocabulary, sentences and paragraphs in accordance with the rules, terms used in the book and of course also easy to understand. This is also supported by adequate high school facilities, including teachers and students who can carry out 2013 Curriculum learning activities. In addition, it is also evidenced by the achievements made by SMA N 1 Balapulang which can compete with other favorite schools.
Peran Guru Bahasa Indonesia pada Pembelajaran Daring dalam Meningkatkan Keterampilan Berbahasa Siswa Kelas 1 MI Miftakhul Athfal Tembok Kidul

The Covid-19 pandemic that broke out in Indonesia, made the government take a number of policies in various fields. Including the education sector, the learning system that was previously face-to-face had to be changed to distance learning (PJJ) or online from home. The decision is certainly very influential on all parties involved in it (educational institutions, teachers, students, and parents), especially teachers who are the benchmark for student success. Teachers must carry out their role as much as possible so that learning objectives can be achieved well even in emergency conditions. The purpose of this study is to determine and understand the role of the teacher in the implementation of online learning, as well as its effect on improving students' language skills in grade 1 MI Miftakhul Athfal Tembok Kidul. This research is a descriptive quantitative research. Data analysis is done through data reduction, data display, conclusions and verification. For data collection techniques using observation, interviews, and documentation. From the data obtained, the researcher makes a conclusion which is presented in the form of a narrative. The results showed that the role of teachers in the online learning process in Indonesian language subjects at MI Miftakhul Athfal Tembok Kidul, all teachers used an online learning model, namely the WhatsApp application for class 1 (low grade) as a learning medium. In carrying out their role, teachers make learning tools in the form of lesson plans, share material in the WA group, provide assignments and evaluations. Teachers also focus on achieving reading and writing materials, by assigning students at each meeting to write and read the results of which are collected via WA in the form of photo and video files. Judging from the Indonesian language scores of grade 1 students, almost all of them are able to follow the learning well.
Mixed reality applied to educational environments

Information related to the research topic was collected, through a review of literature on mixed reality, to strengthen the educational sector. The goal is to identify potential research problems that have not yet been investigated. It focused on a qualitative approach, had an exploratory and descriptive design, articles related to the topic were selected for subsequent analysis and explanation, indexed data repositories such as Dialnet, Scopus, SciELO and the UNAM university repository were entered, to filter the keywords and compile the results for this research, the keywords were filtered and 15 articles were compiled, of which eleven have a qualitative approach, two quantitative and two mixed, they were grouped by country of origin, and then interpreted and extrapolate the results, analyze their implications and limitations, and compare the results, the perspective of other authors of the articles was considered. It also identified potential research problems, and problems that have not yet been investigated. Finally, the critical assessment of the information was carried out and the steps to follow were mentioned since information is very important in education, there is an opportunity in the educational sector. It is expected that this project will serve as support for future research.
Web-Based Thesis Management Information System Design

One of the academic activities that still uses manuals is the submission of a final assignment or thesis. Submission of the final assignment at starts from submitting a title which is filled out through a form then submitted to the head of the study program for review and approval. After the verification is complete, students can immediately take part in pre-Thesis Proposal Seminar provisional guidance and when finished, they can immediately take part in the proposal seminar as well as the assembly. the system that runs at arrowroot in presenting information on student final assignments it is still manual, namely using bookkeeping/paper, submission of data which makes the provision of information quite long and the data is easily scattered until it is lost. It can be observed from the opportunities and business where there is a management system that allows researchers to implement a system with the concept of an online thesis management system with a website-based application so that student final assignment data can be properly managed and accessed through internet media and in building this system researchers use the Software Development Life Cycle (SDLC) with the waterfall approach method, namely analysis, design, implementation and testing. By using this method, it can increase the efficiency of the average time than before. As well as saving costs for other needs in making thesis report data and facilitating the management of final project information data.
Pengaruh Model Pembelajaran Problem Based Learning Pada Hasil Belajar Peserta Didik Pembelajaran IPS Kelas VII

This study aims to see whether there is an effect of problem-based learning on the social studies learning outcomes of seventh grade students. This research used quasi experimental design method with nonequivalent control group design. There were 31 students who became research samples in class VII B as the experimental group, and 31 other students in class VII C as the control group. Data were collected through multiple choice tests consisting of pretest and posttest. The data analysis technique used is the normality test with the shapiro wilk formula and the hypothesis test using the mann whitney u test. Based on the results of data analysis, it was found that class VII B as the experimental group obtained a score of 77.25, while class VII C as the control group amounted to 43.54. There is a significant inequality in both data. The normality test results on the pretest and posttest data of the experimental group and control group were not normally distributed with a value of 0.000. Based on hypothesis testing on the mann-whitney u test of 0.000 &lt;0.05, which means Ha is accepted and Ho is rejected. In addition, the calculation of the effect size test resulted in a value of 0.41 which shows problem-based learning has a positive impact on student learning outcomes compared to conventional social studies learning with a medium category
Revolutionary applications of smart textiles: from shoe #choose to medical optical fibers: a case study of BLUEGRioT’s innovations

This article explores the innovative use of smart textiles in various industries, focusing on the contributions of BLUEGRioT and Brochier Technologies. It highlights key products like the #choose connected shoe, medical applications of optical fiber textiles, and the Fusio Watch, demonstrating the versatility and impact of smart textiles.
Sentiment Analysis on App Reviews Using Support Vector Machine and Naïve Bayes Classification

A review is an assessment given by someone based on certain aspects, such as the delivery of stories, pictures, effects, or visuals. Users can provide reviews which help the company know the quality of the application. However, reviews cannot be used as a reference for rating, because there are still users who provide reviews that are irrelevant to the rating given. This study aims to carry out sentiment analysis in order to classify the application user review data. The sentiment classification process begins with collecting and labeling 700 data. The data then goes through a text preprocessing, word weighting with TF-IDF, and classification using the Support Vector Machine and Naïve Bayes Classifier. The results produce the highest accuracy in the comparison of training and test data of 90%:10%. Support Vector Machine algorithm is capable of providing high accuracy with RBF kernel, γ=1, and C=10. The results obtained using 10-fold cross validation give an accuracy value of 92.86%, a precision value of 92.88%, a recall value of 92.88%, a specificity value of 94.73%, and f-measure of 92.76%. Naïve Bayes Classifier method is able to provide high accuracy by using Multinomial Naïve Bayes Classifier. The results obtained using 10-fold cross validation give an accuracy value of 92.54%, a precision value of 92.55%, a recall value of 92.51%, a specificity value of 93.9%, and f-measure of 92.44%. Based from the result, it can be concluded that the classification using the Support Vector Machine is superior to the Naive Bayes Classification.
Steganographic system for hiding text information in audio files

Audio file steganography can be used as an effective and efficient method to hide messages, but it is a complex process because the human auditory system is sensitive to small changes in audio data. In this article an improved approach for hiding secret text message in audio is presented, combining steganography and cryptography. The Least Significant Bits (LSB) technique, one of the most common and basic methods of steganography, is used as an algorithm for steganographic transformation. The described point of this method is to replace the least significant bits of the audio container with message bits that contain not very useful information, so filling them with additional information has little effect on the quality of perception. Such a significant disadvantage as the low level of reliability is improved by the introduction of a cryptographic layer, the feasibility of which is justified in the article. Cryptographic protection has been added in the form of one of the modern symmetric encryption algorithms – the AES algorithm in the CBC mode. Pseudo-random numbers are used to create a stable cryptokey. The cryptoalgorithm is used to protect the message, which after cryptographic conversion is hidden in the audio file using the steganographic LSB method. The main characteristics of the stegosystem are analyzed. In this paper, the application system of steganographic protection of information in audio files using a cryptographic algorithm is implemented using the environment of Microsoft Visual Studio 2019 and cryptographic libraries, the programming language is C ++. A WAV audio file was used as the digital container. NIST tests were used to assess resistance to stegoanalysis, which according to the results is better using an improved method compared to the classical LSB approach. In addition, the steganographic algorithm is evaluated by visual analysis by comparing the original audio file and the stegofile with the hidden message. The results of the analysis indicate the absence of traces of steganography. Based on the obtained results, it can be argued about the reliability and efficiency of the proposed approach, so the use of LSB-AES technique can be proposed to ensure secure data transmission.
Methods of destructive influence and content protection in social networks

The work is devoted to the topical issue of protection of society from destructive influences in social networks. It has been proven that in order to prevent such influences, it is necessary to evaluate not only the materials contained in texts, audio and video content, but also the tone of the information disseminated in them. Tonality is one of the characteristics of thought or emotion and is currently used as the main parameter for classifying texts by thematic categories. This is due to the convenience and efficiency of classification according to this principle and greatly simplifies other tasks for the classification of text posts. Formed categories of tonal assessment. The possibility of assessing mood by one-dimensional or multidimensional parameter is proved. The possibility of using two approaches to classify the tonality of the text is shown. The first is the automatic analysis of digital texts by computers with elements of machine learning or teacher training. The second - with the help of dictionaries (thesauri) connected to the program. The shortcomings that occur in automatic systems for determining the key are given. A new algorithm for automatic complexes is proposed. It is noted that if the quality of the text analysis system is assessed by how well it agrees with a person's opinion on the emotional assessment of the studied text, then such indicators as accuracy and completeness can be used. Calculations of these parameters are given. When considering a publication presented in the form of an image, it is necessary to take into account the parameters of brightness, contrast, and color combinations, as these indicators can potentially be used by distributors of destructive content to attract the attention of the network. users. It is noted that the photo materials may contain various radical signs and symbols that may relate to the propaganda of a particular prohibited organization or ideology. The analysis of possible methods of influence on consciousness of the user by social networks is carried out.
Pelatihan Mikrokontroler Berbasis Arduino Bagi Siswa Mas Lubuk Malako

Currently, knowledge of microcontrollers and Arduino is crucial to learn as a foundation for implementing automation systems in the field of technology. Introducing microcontrollers and Arduino to students at Private Islamic Senior High School (Madrasah Aliyah Swasta or MAS) Lubuk Malako will help them understand how technology operates and stimulate their interest in innovation. Arduino-based microcontroller training will provide students with the opportunity to develop technical skills, such as programming, electronics, and system design. These skills will be beneficial in various fields, including engineering, sciences, and related areas. Providing a foundational understanding of microcontrollers and Arduino will open up broader career opportunities in the technology world. Students interested in fields like engineering, robotics, IoT (Internet of Things), and related areas will greatly benefit from this training. This training activity encourages students to think creatively and innovatively. Through this training, it is hoped that students will have the chance to unleash their potential and creativity, and be better prepared to face the challenges of an increasingly technologically advanced world
Possibilities of Digitalization of the Qualification Thesis Topic Submission Process

The challenges associated with the process of awarding and processing qualification work can be traced both in the area of efforts to improve the quality of this specific process and in the area of supporting the digitisation of the study agenda in general. Given that the core processes at the university rely on highly skilled professionals, digitising processes is not as straightforward as it would be for more mechanical work. Although universities have a long tradition of organising work, they have not yet paid much attention to digitised processes.&#x0D; For this reason, we developed and piloted a flexible electronic workflow for digitizing a selected process and tested it under real-life conditions, including the implementation of qualitative research. The results show the usefulness and adaptability of the proposed electronic workflow from the perspective of its users.
Artificial Intelligence in Higher Education: Development Trends and New Reality

The article reveals various aspects of the use of artificial intelligence (AI) in higher education. Prospects for the use of AI in higher education are discussed, and specific examples of the use of AI for educational purposes are considered. AI, having great potential for improving the quality of higher education, also carries potential risks of use that must be taken into account. The role of artificial intelligence in the educational process of higher education, evaluation and management of educational processes is emphasized. That is why attention is focused on the issue of what aspects are behind the use of AI in education. The issue of ethical and social consequences of the use of AI in education is discussed.