Reviewerly/exHarmony huggingface dataset:
The Fragments, Run-Ons, and Comma Splices in Selected Types of Paragraph Writing

Writing is a challenge for non-native English writers since the process of transferring the message includes the writers’ writing competence and it is recorded permanently. As a result, the English learners make errors when they lack the writing skill and knowledge. This study aims to reveal the fragments, run-ons, and comma splices in selected types of paragraphs, namely descriptive paragraph, paragraph of logical division of ideas, process paragraph, and comparison-contrast paragraph. The empirical, quantitative approach is used to identify the frequency of each kind of error in the paragraphs written by students of English Department in University of Widya Dharma Pontianak in academic year 2021/2022. To conclude, the errors occur mostly in comparison-contrast paragraphs (37.96%) as there are different ways of organization. Furthermore, the most frequent kind of error is fragment (66.67%), which is missing an independent clause (41.67%). This is due to the students’ experiencing incomplete thought or their having an afterthought following their previous finished sentence. Lastly, the paragraph of logical divisions of ideas has the least errors (13.89%) and the kind of error that rarely occurs is run-on (9.26%).
PENERAPAN MODEL GROUP INVESTIGATION PADA MATERI PELESTARIAN SUMBER DAYA ALAM DI INDONESIA UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS IV SD NEGERI PINEUNG

The purpose of this study was to determine the application of the Group Investigation learning model to increase the activity of fourth grade students. The method used is classroom action research (CAR) which is carried out in three cycles. The research subjects were 21 graders of SD Negeri Pineung. The data were collected by means of tests, observation sheets, interviews, field notes and documentation. The results showed that the average score in the first cycle was 43 with a percentage of 0%. Furthermore, the acquisition of the average value in the second cycle is 67 with a percentage of 42%. And the acquisition of the average score in the third cycle reached 82 with a percentage of completeness reaching 100%.
PENERAPAN MODEL COOPERATIVE TIPE MAKE A MATCH PADA MATERI ORGAN GERAK HEWAN UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS V MIN 17 PIDIE

The purpose of this study was to determine the application of the Make a Match Type Cooperative model in improving student learning outcomes for class V MIN 17 Pidie. Classroom action research consists of three cycles with the steps of planning, acting, observing, and reflecting. The research subjects were students of class V with a total of 34 people consisting of 22 women and 12 men. The results of the study obtained student scores with an average value and the percentage of completeness according to the cycle, namely in the first cycle, 65 and 41.18% were obtained. In the second cycle obtained 75.29 and 70.58%. And in the third cycle obtained 92.35 and 100%.
Participation of Vision in the Perception of Two-Dimensional Objects with a Variative Form

The article deals with the problem of the participation of vision in the perception of objects of variable, soft form. The analysis of the mental process of perception with the help of perceptual influences on an object of variable form is carried out. For the study, experimental equipment in the form of a tablet was developed and a special program was created to record hand movements when applying perceptual influences. The subjects were students in grades 1-4. The idea is substantiated that a person with the help of a tactile and visual analyzer is able to accurately reveal the properties of softness, elasticity, and viscosity of objects. It was revealed that vision is a necessary component in their study. Based on the study of the problem, it has been established that vision "prompts" the hand to the correct trajectory for applying perceptual influence on the studied soft object. The article summarizes the theoretical provisions, supported by practical experience.
Quantum Sensor is Lens to the World Below

The EngineerVol. 302, No. 7935 NEWSQuantum Sensor is Lens to the World BelowJason FordJason FordSearch for more papers by this authorJason FordPublished Online:30 Sep 2022https://doi.org/10.12968/S0013-7758(22)90194-1AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article FiguresReferencesRelatedDetails 1 April 2022Volume 302Issue 7935ISSN (print): 0013-7758ISSN (online): 2753-7145 Metrics History Published online 30 September 2022 Published in print 1 April 2022 Information© MA Business Ltd.PDF download
KOMINFO DIGITAL LITERACY COUNSELING IN CIHAMPELAS VILLAGE, WEST BANDUNG REGENCY

Disaster is a series of events that threaten and disrupt people's lives and livelihoods caused by both natural and/or non-natural factors as well as human factors, resulting in human casualties, environmental damage, property losses, and psychological impacts. In order to reduce the impact of those disasters, a Community Service Program (KKN) was held by providing community services regarding natural disaster mitigation training as an effort to minimize the impact of the risk of economic loss in the Citarum River watershed and digital literacy counseling to increase the distribution of literacy skills. digital community in Cihampelas Village, West Bandung Regency. The program is aimed at students of SMPN 1 Cihampelas which is geographically close to the Citarum watershed. The method used is the provision of material on both topics to students at SMPN 1 Cihampelas. Based on the results of the activity, it shows that students are successful in understanding the material that has been delivered.
IMPLEMENTASI TEKNOLOGI VIRTUAL DALAM VISUALISASI PENGENALAN KAMPUS MENGGUNAKAN WEBVR

One of the developments from this information is Virtual Reality (VR), a Virtual Web Technology that allows users to interact through an environment on the internet that has been simulated by a computer so that users feel they are in a virtual world. VR technology is becoming the top choice because of how it conveys messages to the environment to attract users.The purpose of this research is to be able to produce virtual web technology-based campus introduction visualizations with website results/output for campus buildings as well as immersive spatial displays and dynamic information. The research began by carrying out the 3D modeling stage using the help of Photoshop, marzipano, 3DVista tools (photos, sketches and 3D objects on one of the campus buildings. The campus building used is the Rectorate Building. Lecture building, Auditorium building. Then the system development is carried out by building data and the room is stored in a database and coded using the PHP programming language. The results of process observations during design, analysis and implementation produce a visualization WebVR Application by displaying information in the form of object, image and video formats. Virtual web technology can provide information related to the environment, campus buildings.
IMPLEMENTASI MACHINE LEARNING MENGGUNAKAN METODE CASE BASED REASONING UNTUK DIAGNOSA GIZI BURUK PADA ANAK

Malnutrition is a problem experienced by children in Indonesia, one of which is stunting. The role of Community Health Center is needed in overcoming malnutrition rates in toddlers. This research was conducted by implementing machine learning using the case-based reasoning method to diagnose malnutrition in children. This research aims to reduce stunting experienced by the community around Bengkayang Regency. The purpose of this study was to determine the diagnosis of malnutrition in children at the Bengkayang Health Center. The output of this study is to be able to diagnose malnutrition in children using the case-based reasoning method and the system designed is used as a reference for addressing child development. The variables used in implementing the system are name, age, gender, height, and weight. Then the learning machine looks for the closest case to see the value closest to the stunting problem, so the result is the same. In solving cases by calculating the similarity value, it was found that the new case had similarities with case 04 which was diagnosed with Scurvy Vitamin Deficiency with a similarity value of 0.545454545 or 54.54%.
Studi Survei Penggunaan Waktu Jam Kosong pada Siswa Kelas XI di SMK Banten Jaya

Education is one of the many factors that contribute to the country's progress and is the main key to improving the nation's quality. One effort to improve the quality of education is to enhance the quality of human resources, namely teachers. In fact, teachers often cannot teach because have assignments that prevent them from teaching. This causes empty hours in the class so that students get less attention and supervision from the teacher. As a result, student delinquency often occurs at school. This study aims to determine the activities carried out by class XI students of Banten Jaya Vocational School during empty hours. This study uses a survey method that describes the condition of the research sample, namely what activities are carried out by class XI students of Banten Jaya Vocational School during free hours in class. Retrieval of data using a questionnaire. The subjects of this study were 22 students of class XI at Banten Jaya Vocational School. The results showed that the activity most frequently carried out by students was sleeping, reaching 41%.
Peningkatan Motivasi Belajar Peserta Didik dengan Menerapkan Model Pembelajaran Kooperatif Tipe Make A Match pada Mata Pelajaran Ekonomi Kelas XII IPS 2 SMAN 13 Pekanbaru

This study was structured with the aim of knowing an increase in students' learning motivation by applying the Make A-Match type cooperative model for class XII IPS 2 SMA Negeri 13 Pekanbaru in economics learning. This type of research is Classroom Action Research (CAR), where the teacher is the executor of learning while the researcher is the observer. The research design used the Arikunto model. This research was conducted in the odd semester of the 2019/2020 school year, namely July 2019. The subjects of this study were class XII IPS 2 students consisting of 28 students. The object of research is the learning motivation of students. Data collection techniques using observation and documentation. Data were analyzed descriptively and presented in the form of tables and graphs. The results showed that there was an increase in students' learning motivation in cycle I, which was an average of 73% (good) and learning motivation in cycle II, which was an average of 86% (very good). This is an increase of 13%. Thus the use of the Make A-Match cooperative learning model in accounting lessons on Accounting as an Information System can increase the learning motivation of students in class XII IPS 2 SMAN 13 Pekanbaru.
SINGLE IMAGE SUPER RESOLUTION VIA COUPLED SPARSE AND LOW RANK DICTIONARY LEARNING

Abstract. Limitations in imaging systems and the effects of changes in sensing have caused limitation in acquiring high resolution images such as satellite images and magnetic resonance imaging (MRI). Sparsity can reduce the noises and improve the resolution. Super resolution in medical and satellite imagery is essential because low resolution image analysis is very difficult. Sparsity techniques have significant influence on computer vision specially when the main objective is extracting the meaningful information. The success of sparsity is related to the nature of signals such as image and sound which are naturally sparse because they were founded based on Wavelet and Fourier equations. In this research, we proposed a method for restoring a clear image from the related low-resolution parts of both MRI and satellite images. First, we proposed a widespread structure for learning the couple low rank and sparse main characteristic representation. Combined optimization of the nuclear and L1 norms extracts the total low rank formation and the local patterns lodged in the image. In that case the reconstructed image will be more informative and matrix decomposition problem can recover a noisy observation matrix into an approximation of low rank matrix and a second matrix which contains some low dimensional structure. We assumed that by removing the blur and noise from these images, they would be reconstructed in the highest quality. The proposed method was compared with a variety dictionary learning approaches which addressed super resolution problem, such as tensor sparsity, Generative Bayesian and TV based methods. We demonstrated the results of applied method on MRI and satellite images, showing both visual and psnr improvements. Dealing with complex data in best manner shows the robustness of the proposed method.
UPAYA MENINGKATKAN KEMAMPUAN MEMBACA PEMAHAMAN TEKS EKSPLANASI ILMIAH MELALUI PENDEKATAN SAINTIFIK BAGI SISWA KELAS VI SDN TANGKIL

ABSTRACT&#x0D; This research was conducted in order to improve the ability to read and understand scientific explanatory texts through a scientific approach. This research was conducted at Tangkil Public Elementary School for the 2022-2023 school year. The subject of this research is class VI which consists of 24 students. The method used in this study is the class action research method (CAR). The data collection methods used are written tests, observational methods and data analysis by calculating the results of the students' learning ability test. Based on the analysis of the initial test results, the researcher found that 8 students (33.33%) of the 24 students were able to achieve the KKM that had been determined, namely 70, while the average score in the initial test was 60. The results of the first cycle test showed that the percentage of students who completed only 13 people (54.6%) and as many as 11 students (45.83%) did not get a complete score. In cycle II, the students who completed it increased significantly by 21 people (87.5%), and only 3 students who had not completed it (12.5%). After the final test was carried out, 23 students (95.83%) passed and only 1 person (4.16%) did not complete. From the increase in classical mastery obtained by students, it can be concluded that the scientific approach can improve the ability to read comprehension of class VI scientific explanation texts.&#x0D; ABSTRAK&#x0D; Peneliti melakukan penelitian bertujuan untuk meningkatkan kemampuan membaca pemahaman teks eksplanasi ilmiah melalui pendekatan saintifik. Penelitian ini dilaksanakan di SD Negeri Tangkil tahun ajaran 2022-2023. Subyek penelitian ini adalah kelas VI dengan jumlah siswa 24 orang. Metode yang digunakan dalam penelitian ini adalah metode penelitian tindakan kelas (PTK). Teknik untuk mengumpulkan data yang digunakan yaitu tes tertulis, observasi dan hasil analisis data dengan menghitung kemampuan belajar siswa. Berdasarkan hasil analisis pertama penelitian, peneliti menemukan bahwa 8 siswa (33,33%) dari 24 siswa dapat memperoleh KKM yang telah ditetapkan yaitu dengan nilai angka 70, sedangkan rata-rata kelas satu adalah 60. Hasil tes siklus pertama menunjukkan hanya 13 siswa (54,6%) yang lulus dan 11 siswa (45,83%) tidak mendapat nilai tuntas. Pada siklus kedua jumlah siswa yang tuntas secara signifikan sebanyak 21 orang (87,5%) dan hanya 3 siswa yang tidak tuntas (12,5%). Setelah ujian akhir, 23 siswa (95,83%) lulus dan hanya 1 orang (4,16%) yang tidak lulus. Dari peningkatan ketuntasan secara klasikal yang diperoleh siswa dapat disimpulkan bahwa pendekatan saintifik dapat meningkatkan kemampuan membaca pemahaman teks eksplanasi ilmiah kelas VI.
The R Package HDSpatialScan for the Detection of Clusters of Multivariate and Functional Data using Spatial Scan Statistics

This paper introduces the R package [HDSpatialScan](https://CRAN.R-project.org/package=HDSpatialScan). This package allows users to easily apply spatial scan statistics to real-valued multivariate data or both univariate and multivariate functional data. It also permits plotting the detected clusters and to summarize them. In this article the methods are presented and the use of the package is illustrated through examples on environmental data provided in the package.
ANALISIS KESALAHAN LINGUITIK HASIL TERJEMAHAN GOOGLE TRANSLATE DARI TEKS BAHASA INGGRIS KE DALAM BAHASA INDONESIA

Currently, various ICT-based automatic translation machines are available to help translate foreign language texts, especially for those who are less proficient in foreign languages, one of which is Google's Google Translate. A student, especially one who is not from a non-English study program, in doing translation tends to use machine translation; “Google Translate” and take advantage of its linguistic competence. The translation is done with or without the machine, will cause errors in a certain form. The ability to translate is one of the language competencies needed by academics. This study aims to analyze linguistic errors resulting from the translation of the Google Translate machine from English into Indonesian texts for students of the Indonesian Language and Literature Study Program STKIP YPM Bangko on the syntactic and semantic aspects. This study uses the Mix Method method which combines quantitative and qualitative research methods. The results showed that most of the students were wrong in translating the given text. Most of the translation errors are in the form of syntax errors with an average percentage of 73% while semantic errors are 27%.
SISTEM PENDETEKSI WAJAH BERMASKER SECARA REAL TIME MENGGUNAKAN METODE CNN

In this study, a masked face detection system using the Convolutional Neural Network (CNN) method was tested. System testing was carried out to determine the success of the CNN method on a masked face detection system in real time if the mouth and nose parts of the face are not covered or covered by a mask or by anything other than a mask. This research was divided into 3 stages, namely dataset training, face detection, and testing in real time with various facial positions. This system successfully detects whether a face is masked or not in the dataset model with an accuracy of 99%. In real time, this system has succeeded in detecting well at various positions of facial appearance and on faces that are covered by a mask or hand on the nose and mouth.
Online teaching tools - component part of ICT in mathematics teaching in high school

Learning mathematics in high school focuses on the process of training and developing specific skills, which will later form the basis for continuing studies and active integration into social life. The international study PISA 2018 gives us a sad diagnosis regarding the formation of students' skills in mathematics. This article provides us with useful information for the creation and application of motivating activities in high school mathematics lessons, using digital didactic tools, which will later contribute to the training and development of specific mathematics skills.
Development of the potential of research activities of students in a technical university

The article deals with the problem of developing the scientific potential of students at a technical university. We pay particular attention to the role of a higher school teacher in the research activities of students. The specificity of the organization and content of scientific activity at the university, as well as factors influencing motivation of students, are considered. The results of a study on the development of the scientific potential of modern university students, conducted based on the Karaganda Technical University, are presented. The analysis revealed a steady trend towards an increase in student engagement, provided that a favorable environment for scientific research is created. It is noted that an important condition for the effective implementation of the creative potential of students in science is the creation of a system of motivation for scientific work, which will increase the attractiveness of pursuing scientific activities and, in the future, will become a guarantor of the competitiveness of future engineers.
Analyzing the Communication Environment of Higher Education Institutions

The article analyzes the communication environment of higher education institutions (HEIs). It was found out that the development of the communication environment of higher education institutions should be aimed at increasing the share of students involved in academic mobility programs, which will allow to obtain in the future highly qualified specialists with international experience. It is specified that the current level of integration of digital technologies into the working and personal space of everyone, its daily growth puts forward new requirements for the mass communication means. One of the most influential factors in the level of communication of higher education institutions is the active promotion of all web resources of HEIs on the Internet, taking into account the specifics (professional, age, gender, etc.) of the target audience. Under these conditions, the relevance of the analysis of the communication environment of higher education institutions is growing. It is noted that the analysis of communication contacts of universities, academies, institutes with students, applicants and their parents and stakeholders using social networks indicates that all HEIs have pages on social networks Instagram and Facebook. The social network Twitter was not so popular with universities for communication. However, Ukrainian universities, which are considered «flagship ones», add all the possibilities to communication, which is why each of them has a sufficient number of followers in all popular social networks. It is concluded that today there is an unconditional relationship between the number of subscribers of HEIs in social networks and its rating indicators. Comparison of the quantitative characteristics of social network activity in the three separated groups of HEIs leads to the further conclusions. Leading universities in Ukraine do not ignore the possibilities provided by the latest technologies, the total number of followers in all social networks of each of them amounts to tens of thousands. The highest rates are in Kharkiv National University named after Karazin (over 20000 Instagram and Facebook and nearly 1000 on Twitter). The number of subscribers of all other HEIs differ insignificantly and is largely due to the number of students of the relevant institutions and in most cases does not exceed the mark of 3000-5000 participants.
Nexus among Democracy, Human Resource Development, and Income Inequality: Three Stage Least Square Estimation for 47 Developing Economies

The purpose behind conducting this study was to examine the relationship among democracy, human resource development and income inequality in developing countries. For this, the study specified three econometric models. The study used panel data for the period 1995 to 2016. First, we have checked the stationarity of variables through Levin, Lin chu (LLC) and IPS test. We used three stage least square (3SLS) for our analysis. Results of model 1 found that income inequality, corruption, and the population had a negative effect on democracy, while human resource development and GDP per capita have a positive effect. In Model-II, income inequality, unemployment and inflation had a negative effect on human resource development, while foreign direct investment, remittances, and democracy had a positive effect. In Model-III results found that human resource development, democracy, GDP per capita and corruption were related negatively to income inequality, while inflation was positively related to income inequality.