Reviewerly/exHarmony huggingface dataset:
PERANCANGAN APLIKASI E-SETOR (ELECTRONIC SERVICE MOTOR) MENGGUNAKAN YII2 FRAMEWORK BERBASIS RESTFUL WEBSERVICE

The development of technology has developed very rapidly in recent years. Along with its development, giving influence in various sectors, both government agencies, industry and the business world. One of them is in the motorbike service business. The desire of customers to get good and fast service makes business people to be able to improve services as much as possible. One way that can be done is by using a system that can be accessed by customers using a mobile phone. Applications that are built using the Yii 2 framework are based on a restful web service. The Yii Framework makes the appearance of the system more neat, organized and high-performance. The appearance of this application is user friendly so it does not cause difficulties when customers access the system. The programming languages used are HTML and PHP. The system appearance is interesting because it uses bootstrap which is combined with CSS. Applications that are built using the waterfall method. There are several stages that exist in this method, including system requirements analysis, system design, code making and testing. The purpose of designing this application is to improve service and provide customer satisfaction for both companies and users. Keywords: Motorcycle Service Business, Yii Framework, Restful Web Sevice
PENINGKATAN AKTIVITAS DAN HASIL BELAJAR IPS MELALUI MODEL PEMBELAJARAN PICTURE AND PICTURE PADA SISWA KELAS 2

Abstract&#x0D; Picture and picture learning model is a learning model which can help learning Social Studies. Where the teacher uses media such as images to explain a material or facilitate students to learn actively and aims to improve the activities and learning outcomes of 2nd graders at SD Negeri Medani 02, Cluwak, Pati. The benefits that can be obtained are increasing knowledge and broadening horizons for researchers in particular and for educators in general regarding interesting learning models and learning media so as to further increase students' interest in learning. Subjects in this study are teachers and 2nd graders of Medani 02 Cluwak, Pati. 1 teacher and 12 students consisting of 6 male students and 6 female students. Sources of data from this study came from teachers, students, document data and field notes. The results of the implementation of the first cycle of research showed an increase. The average student learning outcomes became 71.42 with the lowest score is 50 and the highest score is 90. 4 students had not reach the KKM yet and 10 students had reached the KKM. The percentage of student completeness is 71.42% and 28.58% of students who have not. In the second cycle of research showed an increase in the average student learning outcomes to 88.57 with the lowest score is 70 and the highest score is 100. All students had reached the KKM. The percentage of student completeness is 100%. From these results it can be concluded that the predetermined success indicators have been achieved.&#x0D; Keywords: Picture and picture learning model, Social studies, learning outcomes.
PEDAGOGICAL TEACHER TRAINING IN THE SCANDINAVIAN COUNTRIES AS AN OBJECT OF PEDAGOGICAL RESEARCH

The urgency of the problem is that the preparation of teachers for the national education system at the present stage of society is a special aspect, because the teacher is responsible for the formation of a free personality, which must not only have a certain stock of knowledge and professional competence, but also combine intellectual potential with moral consciousness and civic responsibility. The purpose of the article: to carry out a bibliographic analysis of the problem of pedagogical training of teachers in the Scandinavian countries. To identify areas of research on the problem of pedagogical training of teachers in the Scandinavian countries, we used analysis, synthesis and abstraction, comparative pedagogical analysis – to clarify the features of pedagogical training in European countries; prognostic – to identify research prospects. The article analyzes scientific works and documentary sources on the problem of pedagogicalteacher training in the Scandinavian countries. The directions of studying the problem of pedagogicalteacher training in the Scandinavian countries are singled out: pedagogical education in the European dimension, conceptual approaches to the development of pedagogical education, actualization of problems of professional training, in particular pedagogical. It is emphasized that the national systems of pedagogical training in Western Europe are original systems with their own organizational structures, forms and content, which are due to the specific features of their historical development and priorities of pressing problems of our time. In scientific research, attention is paid to the study of requirements for the modern teacher, which require a deep knowledge of the subject, mastery of advanced pedagogical methods and his ability to build a professional activity on a reflective basis.Professional pedagogical training is aimed at a specific area of practice. It is determined that the development of pedagogical education in European countries is based on the values of a rapidly developing society towards a multicultural community.
Large Event Security - A Case Study of Spokane Events, WA

Large event security has become increasingly complex over the past 20 years. Security incidents have included headline tragedies such as the Las Vegas shooting in 2017 and the Boston Marathon bombing in 2013. Spokane, Washington, has been no exception to the need to enhance guest security for large-scale events, as evidenced by the Hoopfest gang-related shooting in 2010 and the Martin Luther King Jr. Day bombing attempt in 2011. Balancing the interests of stakeholders has become challenging for event management professionals in both planning and operations phases. Security strategies and trainings designed for security and guest service staff are critical for the success of new protocols. Transparent communication to the public is crucial for the event's success and the guarantee of guest satisfaction. This case study aims to document the leadership decisions made to enhance security for large-scale events held in Downtown Spokane and the Spokane Arena. Focusing on several tipping points, the leadership decisions and implementation are chronicled as a case study, along with the decisions and protocols that continue to influence large event security in the Spokane area. This study will benefit other event planners and venues as they face security system upgrades, protocols, and implementation.
A* Algorithm for Shortest Path in Robot Motion

Mobile robot motion in real-time has many challenges in terms of reaching the exact destination and avoid obstacles. In this work, A * algorithm has been selected to show the robot motion in simulation through Matlab software. Different destinations are selected with several obstacles. A * algorithm shows the ability to achieve the shortest path distance for mobile robot motion as well to avoid different obstacles. Thus, the A * algorithm can be an attractive choice to achieve the best shortest path distance for Mobile robot motion.
Penerapan Metode ELECTRE Dalam Pemilihan Masker Wajah Terbaik Untuk Berbagai Jenis Kulit

The research aims to make the Decision Support System the best means of choosing masks with various types of facial skin especially Indonesian women, then recommending which masks are best to use. This problem can be ranked in the study. The method used in this research is the Electre method on the Decision Support System. Sources of research data obtained by interview and observation by giving a set of questions or statements to the customer used as respondents to be answered. The selection of face masks is used with several criteria including: (K1) oily skin, (K2) acne prone skin, (K3) dull skin, (K4) normal skin. And has sub criteria: color (c1), Texture (c2), Aroma (c3), Price (c4). The results of the research using the Electre method are expected to make it easier to determine the ranking of data winners from each alternative by the assessment process and facilitate system implementation.
The connection between rs6265 polymorphism in the BDNF gene and successful mastering of the video-oculographic interface

A video-oculographic interface is a system for controlling objects using eye movements. The video-oculographic interface differs from other brain-computer interfaces regarding its improved accuracy, simplicity, and ergonomics. Despite these advantages, all users are not equally successful in mastering these various devices. It has been suggested that the genetic characteristics of the operators may determine the efficiency of video-oculographic interface mastery. We recruited healthy users with rs6313, rs2030324, rs429358, rs10119, rs457062, rs4290270, and rs6265 polymorphisms and analyzed the relationships between these polymorphisms and values of success in video-oculographic interface mastery. We found that carriers of the G/G genotype of the rs6265 polymorphism (BDNF gene) demonstrated the best results in video-oculographic interface mastery. In contrast, carriers of the A/A genotype were characterized by large standard deviations in the average amplitude of eye movement and the range of eye movement negatively correlated with goal achievement. This can be explained through the fact that carriers of the A/A genotype demonstrate lower synaptic plasticity due to reduced expression of BDNF when compared to carriers of the G/G genotype. These results expand our understanding of the genetic predictors of successful video-oculographic interface management, which will help to optimize device management training for equipment operators and people with disabilities.
AUTOMATIC OBJECT SEGMENTATION TO SUPPORT CRISIS MANAGEMENT OF LARGE-SCALE EVENTS

Abstract. The management of large-scale events with a widely distributed camping area is a special challenge for organisers and security forces and requires both comprehensive preparation and attentive monitoring to ensure the safety of the participants. Crucial to this is the availability of up-to-date situational information, e.g. from remote sensing data. In particular, information on the number and distribution of people is important in the event of a crisis in order to be able to react quickly and effectively manage the corresponding rescue and supply logistics. One way to estimate the number of persons especially at night is to classify the type and size of objects such as tents and vehicles on site and to distinguish between objects with and without a sleeping function. In order to make this information available in a timely manner, an automated situation assessment is required. In this work, we have prepared the first high-quality dataset in order to address the aforementioned challenge which contains aerial images over a large-scale festival of different dates. We investigate the feasibility of this task using Convolutional Neural Networks for instance-wise semantic segmentation and carry out several experiments using the Mask-RCNN algorithm and evaluate the results. Results are promising and indicate the possibility of function-based tent classification as a proof-of-concept. The results and thereof discussions can pave the way for future developments and investigations.
Analysis of catches data collection system at Fish Landing Base (PPI) of Dumai

Data collection system in Fish Landing Base of Dumai was traditionally. Data written manually using books and collected by agents. This fact illustrates the weakness of the catch data collection system that occours. The effect is low data accuracy and requires a longer time in reporting. Data collection system based on technology will facilitate the process and important to do. The purpose of this study was to design a data collection system for fish catches landed at Fish Landing Base of Dumai. The research was conducted in February-June 2020 in Dumai city. The method used observation, interviews and literature review. Data analysis is used the process of analyzing data, literature review, analysis of existing systems, analysis of new systems and system design using data flow diagrams (DFD), entity relationship diagrams (ERD) and HIPO. System design starts from input, output and database design. The data design inputted is fishermen data, fishing gear, fish production and price of day, fish distribution, customer data and data employees. The output data are reports of user data, fishing gear specifications, fish production and fish distribution. The database is structured and presented using a flow chart. A technology-based of catch data collection system designed to improve the efficiency of the presentation of the reports needed for agencies.Keywords:Fish LandingDFDReportAgencies
IMPROVING EFL NON-ENGLISH TEACHERS IN TEACHER TALK ABILITY THROUGH TEACHERS’ TRAINING AT SD TUNAS GLOBAL

Foreign curriculum in Indonesia schools become more in demand. The schools facilitate the teachers with the students’ book written in English. The teachers must be able to deliver the lesson into the correct English that is specifically made and used in the classroom. Not all the teachers know that English for teaching is different from daily English. Since SD Tunas Global combined the new curriculum from the Cambridge in the education year 2020-2021 with the goverment curriculum, the needs of using English inside and outside the classroom is a must. Phenomena which were often appeared from the observation were teachers often used mother-tongue language; Bahasa Indonesia and they tend to directly translate Bahasa Indonesia into English without knowing whether the language was proper English to use in teaching. Techer talk is the sentences and expressions that can be used both inside and outside classroom. The data were taken from the interview, observation and the result from the test. This research employed qualitative and quantative method. &#x0D;
The Effect of Technology and Competition on Business Development

The research analysis aims to determine whether technology and competition have an effect on the business development of SMEs in the Center for Integrated Business Services of the Cooperative for Micro, Small, and Medium Enterprises, North Sumatra.The data analysis technique used is the associative method with the help of the SPSS version 24.0 program.The population in this study were all UKM players who traded in the Center for Integrated Business Services of Cooperatives, Micro, Small and Medium Enterprises, North Sumatra, and a sample of 60 respondents.Primary data collection using a questionnaire.The results showed that technology partially had a positive and significant effect on the business development of SMEs in the Center for Integrated Business Services of Cooperatives for Micro, Small, and Medium Enterprises, North Sumatra.Partial competition does not have a positive and insignificant effect on the business development of SMEs in the Integrated Business Service Center for Cooperatives, Micro, Small, and Medium Enterprises, North Sumatra.Technology and competition simultaneously have a positive and significant effect on the business development of SMEs in the Integrated Business Service Center for Micro, Small, and Medium Enterprises, North Sumatra Cooperatives.
Digitizing University Libraries – Evolving from Full-Text Providers to CLARIN Contact Points on Campuses

Based on the example of the State and University Library Bremen (SuUB) we will outline in this paper, how academic libraries with digitization activities (hereinafter referred to as digitizing libraries) could establish even closer ties to CLARIN in the future.After describing SuUB's past and current CLARIN-related activities (especially full-text transfers to a CLARIN-D centre) we suggest that this collaboration could be expanded by providing advice and training for researchers of the Digital Humanities as potential CLARIN users.Equally important from our point of view is the discussion about future structural options on the level of research infrastructures.We suggest a collaboration between digitizing libraries to jointly agree upon standards of data quality, file formats, interfaces and web services.We discuss the foundation of local CLARIN contact points to pass scholars and researchers on to the respective contact or service of CLARIN.The relevance to CLARIN activities, resources, tools or services is described at the end of each respective section.From the conclusions, the reader will notice: It is the right time for change.
Broad Autoencoder Features Learning for Classification Problem

Activation functions such as Tanh and Sigmoid functions are widely used in Deep Neural Networks (DNNs) and pattern classification problems. To take advantages of different activation functions, the Broad Autoencoder Features (BAF) is proposed in this work. The BAF consists of four parallel-connected Stacked Autoencoders (SAEs) and each of them uses a different activation function, including Sigmoid, Tanh, ReLU, and Softplus. The final learned features can merge such features by various nonlinear mappings from original input features with such a broad setting. This helps to excavate more information from the original input features. Experimental results show that the BAF yields better-learned features and classification performances.
Result Analysis of User Review for Sentiment Classification

Sentiment analysis is one of the fastest growing fields with its demand and potential benefits that are increasing every day. Sentiment analysis aims to classify the polarity of a document through natural language processing, text analysis. With the help of internet and modern technology, there has been a tremendous growth in the amount of data. Each individual is in position to precise his/her own ideas freely on social media. All of this data can be analyzed and used in order to draw benefits and quality information. In this paper, the focus is on cyber-hate classification based on for public opinion or views, since the spread of hate speech using social media can have disruptive impacts on social sentiment analysis. In particular, here proposing a modified approach with two stage training for dealing with text ambiguity and classifying three type approach positive, negative and neutral sentiment, and compare its performance with those popular methods also as well as some existing fuzzy approaches. Afterword comparing the performance of proposed approach with commonly used sentiment classifiers which are known to perform well in this task. The experimental results indicate that our modified approach performs marginally better than the other algorithms.
DEVELOPMENT OF REGULATORY AND COGNITIVE UNIVERSAL EDUCATIONAL ACTIONS OF STUDENTS IN THE PROCESS OF LEARNING GEOMETRIC MATERIAL IN GRADE 5

РАЗВИТИЕ РЕГУЛЯТИВНЫХ И ПОЗНАВАТЕЛЬНЫХ УНИВЕРСАЛЬНЫХ УЧЕБНЫХ ДЕЙСТВИЙ УЧАЩИХСЯ В ПРОЦЕССЕ ОБУЧЕНИЯ ГЕОМЕТРИЧЕСКОМУ МАТЕРИАЛУ В 5-М КЛАССЕБакланова Н.А.contributes to the effectiveness of the educational process.The task of developing regulatory and cognitive universal educational actions is realized in the process of teaching geometric material in the 5th grade.
The Limitations of Limited Context for Constituency Parsing

Incorporating syntax into neural approaches in NLP has a multitude of practical and scientific benefits.For instance, a language model that is syntax-aware is likely to be able to produce better samples; even a discriminative model like BERT with a syntax module could be used for core NLP tasks like unsupervised syntactic parsing.Rapid progress in recent years was arguably spurred on by the empirical success of the Parsing-Reading-Predict architecture of (Shen et al., 2018a), later simplified by the Order Neuron LSTM of (Shen et al., 2019).Most notably, this is the first time neural approaches were able to successfully perform unsupervised syntactic parsing (evaluated by various metrics like F-1 score).However, even heuristic (much less fully mathematical) understanding of why and when these architectures work is lagging severely behind.In this work, we answer representational questions raised by the architectures in (Shen et al., 2018a(Shen et al., , 2019)), as well as some transition-based syntax-aware language models (Dyer et al., 2016): what kind of syntactic structure can current neural approaches to syntax represent?Concretely, we ground this question in the sandbox of probabilistic context-free-grammars (PCFGs), and identify a key aspect of the representational power of these approaches: the amount and directionality of context that the predictor has access to when forced to make parsing decision.We show that with limited context (either bounded, or unidirectional), there are PCFGs, for which these approaches cannot represent the max-likelihood parse; conversely, if the context is unlimited, they can represent the max-likelihood parse of any PCFG.
The Effect of Online Collaborative Writing through Edmodo on Students’ Writing Skill at MA Masyhudiyah Giri

Implementing a writing strategy especially collaborative writing is one of the efforts to make writing learning work optimally. In its application, collaborative writing strategy is claimed to have a positive effect on each aspects of student writing skill, but based on the implementation of this strategy, several problems are found, where students are still less active in discussions and students do not want to be involved in the collaborative writing process. So with these problems, it certainly becomes an obstacle that can cause the implementation of this strategy do not run optimally, so that the selection of a media is the right way to overcome these problems by using Online Learning based Edmodo. The design of this study was quasi experimental design, with 10th grade students from MA Masyhudiyah as the subject. Two classes were chosen, they were X-MIPA 1 as an experimental class and X MIPA 2 as a control class with 28 students in each class. The research findings in this study revealed that there were significant differences between the experimental and control groups. This is evidenced by the results of sig. (2-tailed) is 0,000. The sig. (2-tailed) is lower than the significance level of 0.05 (0.000 &lt;0.05). So, the null hypothesis (Ho) can be rejected. So it can be interpreted that Online Collaborative Writing through Edmodo has a positive effect on students' writing skills. Therefore, the researcher strongly recommend to the teachers to apply Online Collaborative Writing through Edmodo in the teaching and learning process and also for further researchers can conduct similar research in other ways, skill or levels.
Implementasi Rigging pada Rambut 3D

3D animation is an art to be able to create and move 3D objects, so that it can produce a movement in accordance with the wishes of the maker. In making the animation, 3D objet and rigging are needed. The stages of program implementation are: The first stage is an object, where 3D objects choose several types, one of which is always used is a human object. Human objects have a high level of difficulty, especially the hair. Each hairdo making chooses a different surgical process. The second stage is rigging, regular rigging is likened to an animation bone that functions to move an animation object. Based on this, this research describes the process of implementing rigging in several 3D hairstyles and basic patterns to determine the type of hair to be made. The implementation of this model uses a rigging model approach between the object and the animator so that it can produce 3D animation works well.