Reviewerly/exHarmony huggingface dataset:
ANALISIS KESALAHAN EJAAN BAHASA INDONESIA PADA TUGAS MAKALAH MAHASISWA PROGRAM STUDI TADRIS ILMU PENGETAHUAN ALAM (TIPA) FAKULTAS TARBIYAH DAN ILMU KEGURUAN UNIVERSITAS ISLAM NEGERI DATOKARAMA PALU

This study aims to examine the form of error in the use of Indonesian Spelling (EBI) on paper assignments for students of the Natural Sciences Tadris Study Program (TIPA), from the Faculty of Tarbiyah and Teacher Training, Datokarama State Islamic University Palu. The date in this study is in the form of errors in the use of Indonesian spelling in the paper assignments of semester 1 (one) students of Indonesian language courses. The source of the data in this study was a group paper assignment for semester 1 (one) Indonesian language courses. The results showed that there were 20 errors in the use of capital letters, 10 errors in writing italics, 5 errors in writing number symbols, 15 errors in writing prepositions, 7 errors in writing particles, 5 errors in writing abbreviations, and 5 errors. On punctuation writing, as well as 6 mistakes in writing compound words. Based on results research shows that students in college students Program Traditional Studies of Science Knowledge Semester nature one not yet mastered the technique, especially in the use of Nature Spelling Indonesian (EBI) capital letters, italics
PENINGKATAN KEMAMPUAN BERPIDATO SISWA KELAS VIII MTS ALKHAIRAT PINOTU MENGGUNAKAN METODE MODELING

This study aims to determine the improvement of students' speaking ability through learning with the modeling method. This research is a classroom action research. The research subjects were all class VIII students of MTs Alkhairaat Pinotu for the 2020/2021 academic year, totaling 20 people, namely 12 boys and 8 girls. The method used in this research is the descriptive method. The design of this study refers to the Kemmis and McTaggart model which consists of four components, namely 1) planning, 2) action implementation, 3) observation, and 4) reflection. The data collected in this study is in the form of teacher and student activity data during the learning process obtained by using observation sheets and student learning outcomes data obtained by giving individual tests to students. In the research that has been carried out, it was found that for the Grade VIII students of MTs Alkhairaat Pinotu, the score of the pre-action speech students was 45% and then increased from 71.2 in the first cycle to 78.2% in the second cycle. The increase in the second cycle was due to the researchers placing more emphasis on the concept of motivating students to be bolder in speaking out from the reflection of the first cycle in giving speeches using the modeling method. While in cycle II, the researcher emphasized changing the model in learning. Thus, the application of modeling media can improve the achievement of speaking skills (speech) of class VIII MTs Alkhairaat Pinotu students so that the application of modeling media is carried out by teachers to improve student learning outcomes
PENINGKATAN KEMAMPUAN SISWA KELAS VIII SMP NEGERI 14 SIGI MENULIS CERPEN MELALUI METODE LATIHAN

The main problem in this research is the low student learning outcomes in short story writing material. Therefore, to improve students' abilities and maximize learning, the researchers used the Exercise method. The research subjects were all 20 students, namely 9 boys and 11 girls. The method used in this research is the exercise method. The design of this study refers to the Kemmis and Mc Taggart model which consists of four components, namely 1) planning, 2) action implementation, 3) observation and 4) reflection. The data collected in this study is in the form of teacher and student activity data during the learning process obtained by using observation sheets and student learning outcomes data obtained by giving individual tests to students. In the research that has been carried out, the results showed that students experienced an increase of 90%. The increase in classical absorption in cycle II was caused because the researchers put more emphasis on mastering concepts in writing short stories using the Exercise method. While in the first cycle, the researcher did not emphasize the mastery of the concept. Based on these results, it can be concluded that the application of the Exercise method can improve student learning outcomes and deserves to be considered as material for classroom action research for teachers
INOVASI PEMBELAJARAN MATEMATIKA MENGGUNAKAN GOOGLE CLASSROOM : A SYSTEMATIC LITERATURE REVIEW

The purpose of this study is to conduct systematic literature on mathematics learning innovation using google classroom. The research method is the SLR (Systematic Literature Review) method. Data collection is done by documenting and reviewing all articles related to Mathematics Learning and Google Classroom published in brackets in 2019-2020. Based on a search of various articles on the Google Scholar database, twelve (12) articles were obtained. The results of this study are a discussion of the findings that occur in the article. Based on the research conducted, the results of this study indicate that (1) learning mathematics using google classroom has a significant effect on learning so that learning is effective, characterized by high student participation and various positive attitudes that exist in students. (2) learning mathematics using google classroom is very good for learning outcomes and learning motivation of an educator. But it still has to be improved considering that there are still many learning facilities and infrastructure that do not support it, as well as abstract mathematical objectsneeded to click the link and watch the videos in YouTube
METODE PEMBELAJARAN SASTRA PADA MATA PELAJARAN BAHASA INDONESIA

This paper aims to introduce the method of learning literature in Indonesian subjects. Literary material, especially poetry appreciation, is often a problem for teachers and students. To overcome this problem, one of the solutions offered by the author is in the form of a method that is considered to be able to solve problems in literary learning, especially in poetry appreciation. Some of the literary teaching methods applied include the lecture and question and answer method, discussion, audio-visual and content analysis. The implementation steps taken by teachers and students are (a) choosing poetry literary texts (b) choosing learning media, (c) analyzing poetry literary texts together. (d) form groups of students. (e) student work assignments. (f) the percentage of students in front of the class using the media. (g) discussion and question and answer
Social Media Use, Social Media Behavior, Cognitive Biases, and Political Awareness among Student Voters

Nowadays, it is very evident that social media has become part of our lives. Our country shifted from analogue to digital that created a wide space and open more resources for people to receive, gather, and acquire information whether it is politically related or for entertainment purposes. The abundance of online content and the new forms of distribution have enabled the quick propagation of both verified and unverified information, especially in social media. The study on social media use, social media behavior, cognitive biases, and political awareness among the one hundred student voters of Laguna State Polytechnic University, San Pablo City campus utilized a descriptive-correlational research design. The data were gathered through a survey using researcher-made questionnaires. The results implied that the participants perceived social media use, social media behavior, and cognitive biases in different ways, such as never-rarely-often while having a positive political awareness. In conclusion, there is a significant relationship between social media use of (social media networking sites and microblogging and social networking service), social media behavior, confirmation bias, and political awareness among student voters.
On Linear Regression for Fuzzy Data of Different Quality

The present paper is devoted to the linear regression for a fuzzy set of fuzzy data samples.This model allows one to take into account the data of different quality.It is shown that regression parameters are type-2 fuzzy sets.Furthermore, the corresponding type-2 membership functions are given.The decomposition approach is used to investigate the T2FSs of linear regression parameters.It is shown that each T2FS of regression parameter can be decomposed according to secondary membership grades into a finite collection of fuzzy numbers.Each of these fuzzy number is the corresponding fuzzy regression parameter for a set of data numbers.This set is the corresponding α-cut of the original fuzzy set of fuzzy data samples.The illustrative example is given.
Improving Low-Contrast Images Using Frequency and Fuzzy Transformations

The informational capabilities of a method for processing grayscale images aimed at improving contrast and increasing object detail to increase the accuracy of diagnosis based on them are presented.The proposed adaptive composite algorithm is based on multi-stage processing, which includes the use of two-dimensional frequency Fourier transformation and the method of fuzzy intensification in the spatial domain, and makes several transitions between different feature spaces.The application of the Fourier transform involves the correction of its coefficients and the reconstruction of the image by inverse transformation.Only arguments of complex coefficients can be adjusted.The impact of the frequency transformation parameters on the detail of the resulting image is analyzed.The method of fuzzy intensification is used as a refinement for the second stage of frequency transformation.The results of processing are presented on the example of real X-ray images.
Approach to Search Result Rankings Based on User Ratings

This paper proposed an approach to rank search results based on user ratings, with a subjective approach to the ranking process.Expert groups unique to each user are created to achieve this effect.When no common ratings are available, the expert group is formed based on a model built on the user's social profile, utilizing inductive algorithms such as a polynomial neural network with active neurons.The approach of ranking search results provides a unique order of elements for each user's list of web resources.This effect is achieved by using evaluations from an expert group that is unique to each user, as well as by incorporating each evaluation into the model for calculating final rankings of web resources with its unique weight, calculated based on their previous activity in the system.The resulting ranking model is much more difficult to falsify because it is based on subjective factors.The ranking model will be unique for each user.Falsifying it would require reproducing the preferences of each user, which is much more difficult than acquiring links to one's web resource from authoritative sources.
Application of Vision Transformers and 3D Convolutional Neural Networks for Sign Language Cluster Recognition

In this study the overview of the methods for sign language recognition was done and the existing datasets in this area were analyzed.It was shown how based on the real data to develop and test different approaches.The models based on the Vision Transformer (ViViT) and 3D Convolutions CNN (3dCNN) using different batch sizes were built and compared.It was also shown how to learn models on different data sizes and to search the compromise between accuracy, speed and overfitting of the models.Our research provides valuable insights into the strengths and limitations of different models of the task, not solved tasks and offer a direction and possible improvements of existed methods in this area by using vision transformers.
Similarity Metric of Categorical Distributions for Topic Modeling Problems with Akin Categories

Estimating a level of similarity of two objects is a common problem in pattern recognition, clustering, and classification.Among these problems can be reviewer recommendation, similar text documents analysis, human pose detection in video, species distribution clustering, recommendation in internet-shops etc.In case of categorical attributes an object is described as a distribution of membership degrees over categories.Similarity metrics of such distributions are usually defined as a superposition of objects' similarities for each category.Most often it is a sum of similarities in separate categories.In addition to that each category is considered independently and in isolation from the others.Some practical problems have categories that are akin.Therefore, it is expedient to consider objects' similarity not only directly, as a similarity between equivalent categories, but it is also necessary to consider an indirect similarity, cross-similarity through akin categories.It is such similarity metric of two categorical distributions that accounts for the kinship of different categories is proposed in this paper.The metric has two components.The first component is defined as Czekanowski metric.It defines a direct similarity of categorical distributions as a sum of intersection of distributions' membership degrees of two objects.After the intersection the remaining residuals are accounted for in the second component of the metric.The second metric's component is defined as element-wise product of two matrices: matrix of residuals composition from memberships of two categorical distributions and matrix of categories' paired kinship.It is assumed that kinship indices for each pair of categories are known.As a result, with a large number of categories the overall noisy contribution from weakly akin categories is prominent.Therefore, it is proposed to filter the noise and account only for contribution from strongly akin categories.
Efficient Multithreading Computation of Modular Exponentiation with Pre-computation of Residues for Fixed-base

Modular exponentiation is an important operation in many applications that requires a large number of operations.Efficient computations of the modular exponentiation are extremely necessary for efficient computations for provide high crypto capability of information data and in many other applications.Modular exponentiation is implemented using of the development of the right-to-left binary exponentiation method for a fixed base with precomputation of redused set of residuals.To efficient compute the modular exponentiation over big numbers, the property of a periodicity for the sequence of residuals of a fixed base with exponents equal to an integer power of two is used.The multithreading software implementation of modular exponentiation is described.The MPIR library with an integer data type with the number of binary digits from 256 to 2048 bits is used to develop an algorithm for computing the modular exponentiation.Comparison of the runtimes of four variants of functions for computing the modular exponentiation is performed.In the algorithm with pre-computation of residues for fixed-base provide faster computation of modular exponentiation compared to the functions of modular exponentiation of the MPIR, OpenSSL and Crypto++ libraries.
A new symmetric distribution on integers with applications in data modeling and zero inflated regression

In this paper, a symmetric discrete distribution on integers is proposed by using a novel method of generating new distribution on Z. This distribution has only one parameter and possesses a very simple structure. Many important characteristics, such as, the recurrence relation, tail length, mode, Cumulative distribution function, monotonic property of log-concavity, moments and generating functions, are investigated. Maximum likelihood estimation of the model parameter is presented. An innovative zero-inflated count regression analysis is introduced based on the proposed distribution. The utility of this model is justified by considering three applications of count data modeling and regression in comparison to some established count distributions on Z.
In the Fourth Industrial Revolution era, Security, Safety, and Health

This paper deals with the impacts of the 4th Industrial Revolution in the fields of safety, health, and security of populations.The central issue is how, after two World Wars, three Industrial Revolutions that have already proceeded, and successive technological developments that the world has experienced, the fourth Industrial Revolution will change people's daily lives.We proceed to overview the combination of automation technology with cyber technology, which manages an extremely large amount of data and highlights new forms of human-machine interaction.At the same time, the rise of the Internet of Things, artificial intelligence, and modern mobile communication, which contribute particularly beneficially to health and safety issues, are being studied.No doubt, the role played by governance models and the degree of trust between citizens and the state they achieve each time -which is mainly related to the decentralization of central authority and the level of transparency -could not be left out of context.Finally, possible risks arising from the use of new technology are touched on, as well as relevant ethical dilemmas that may arise, since the benefits from the fourth Industrial Revolution are very important, but still some threats remain due to incomplete specifications and legislation.
Forensic Photography Concepts and Applications for Better Crime Scene Examination

"A picture is worth a thousand words," and crime scene photography is a case in point. All crime scenes begin with photography, which is done with the almost priority. The most efficient and straight forward way for an investigating officer to depict a crime scene is through photographs and criminal sketches. By documenting the original site and surroundings, crime scene photography serves to offer a true and accurate record of the crime scene and tangible evidence that was present. Regardless of how well a detective can orally describe a crime scene pictures can convey the same information more clearly and effectively because they freeze time and capture the evidence. A trial's forensic photography is an essential component. Additionally, crime scene images are frequently used as the basis for the decision.
Forensic Document Examination Using Image Processing Tools

Paper documents have always been our primary means of transmitting and storing information. However, for better storage and processing, the majority of records are currently only available in electronic format. As a result of digitization, the field of forensic document analysis has improved and evolved to keep up with the times, as it has become relatively easy for anyone to change any type of document using various image modification tools. The current study focuses to examine documents that have been manipulated by computers using open-source image processing tools. Forensically beta, FotoForensics, and Adobe Photoshop tools were used to analyze the sample documents that had been altered. The results suggest that these image processing tools can be used to analyze digitally modified documents to detect manipulations and thus can help Forensic document examiners. The present work reveals that some minute characteristics are present in the transplanted documents which can be identified by careful analysis of soft copies of documents with tools present in Forensically beta, FotoForensics, and Adobe Photoshop.
Thoreau on Poetic Purchase

This chapter explores Thoreau’s notion of poetry, in <italic>Walden.</italic> It focuses on a short passage in Chapter Two, ‘Economy’, that was previously published as the essay ‘A Poet Buying A Farm.’ By way of this passage, it argues that, for Thoreau, ‘poetry’ does not so much name a form that is distinguished from prose, but instead the interruption of their very difference. This becomes apparent in ‘A Poet Buying A Farm’, when the figure of the poet meets with a farmer and attempts to buy his farm from him. Through their ensuing conversation, figurative language is brought into contact with the prose of commerce and, in the end, the one is unable to be distinguished from the other.
Hurry Up and Wait

One of the overwhelming features of EMS work, even in the busiest EMS systems, is that providers spend a portion of their shifts in anticipatory readiness. During the downtime that punctuates the space between ambulance calls, providers do their best to try and relax, sleep, and pass the time. They run errands, get meals, and watch movies on their ubiquitous mobile devices. Finding a place to partake in these activities can be a challenge for EMS providers working in systems that do not utilize fixed stations. Private Ambulance providers must often occupy specific areas of the city to keep response times low and use on-street parking and loading zones for downtime. Their use brings them into conflict with local business owners who object to their presence and, in one notable case, succeed in evicting them from the neighborhood.
Planning a project applying the Scrum framework

Currently, Scrum is one of the most recognized and used methodologies in agile project management. The main objective of this article is to analyze the planning phase in an agile project, integrating the life cycle of the Scrum framework and the Deming cycle that allows to identify, define and specify the processes and techniques to be managed during said phase. An applied research is proposed, under a case study according to the nature of the disciplinary area. On the other hand, in addition to this, the opportunity to apply this framework in daily life has been identified. Contributing, mainly as a contribution to the line of knowledge generation in the scientific field of applied research of agile methodologies in life projects. In the same way, a path is left in the scientific study to integrate continuous improvement in the implementation of the Scrum framework.
Methodology for creating applications with augmented reality for education 4.0

The rise of industry 4.0 (I4.0) technologies increases with the passing of days, as well as their permeability in areas of other kinds, such as education. Currently the term coined for this is Education 4.0 (E4.0) which can be seen as a paradigm and can be conceived as an educational approach that uses the technological axes of I4.0 to optimize the teaching-learning process. One of the technologies that have been implemented the most in E4.0 is augmented reality (AR). However, this technology generally requires a high degree of expertise, which is why this paper proposes a methodology for the creation of applications (app) with AR that can be used as teaching resources in different subjects and educational programs of an affordable and intuitive way. Which is ad hoc to the objective pursued, allowing the creation of apps with AR where the use goes hand in hand and the creativity of the user who will insert it in the pedagogical process corresponds to him and allows students to enter the E4.0.