Reviewerly/exHarmony huggingface dataset:
Bibliometric Computational Mapping Analysis of Learning Video in Beauty Field (Vocational High School &amp; University) Using VosViewer

This study aims to analyze the use of learning videos in Beauty Vocational Schools and Beauty study programs at the University level between 2013 and 2023 using bibliometric computational mapping analysis methods. Publish or Perish (PoP) software was used to collect publication data from the Google Scholar database using the keywords "Video Tutorial" AND "SMK" AND "Beauty". The search through Publish or Perish resulted in 285 articles. After elimination and rechecking, 78 articles were analyzed using VosViewer. The analysis results show that the number of publications related to this topic between 2013-2023 is still small, the highest number of publications occurred in the year "2022" with a total of "28" articles, while the lowest was in the year "2013-2015", where each year only "1" article was published. Keyword co-occurrence analysis using VOSViewer resulted in 12 terms grouped into 5 clusters. Network and density visualization showed several keywords that frequently appeared, namely video tutorials, video tutorial media and learning media. In addition, the overlay visualization illustrates keywords that have been trending in recent years namely video, video tutorial, learning video and learning media. Based on data analysis, it can be concluded that research related to the creation and utilization of video tutorials in learning in the field of beauty is still very little and not varied. There are still many subjects in Beauty Vocational Schools or courses in Beauty study programs that do not have video tutorials. This is an opportunity for academics and researchers in the field of Beauty.
Multi-Layer Perceptron Neural Network Implementation as Train Type Classification

The purpose of train detection systems is to check that related track section is clear of vehicles before a train may be authorized to pass through a railroad. The detection of the train is important task for ensuring the safety of train traffic. Multi-layer Perceptron classifier, which consists of feedforward neural networks constructed of multiple layers of interconnected artificial neurons, proved to be effective for trainset class classification in this study. Using Raspberry Pi and IMU sensor BNO055, dynamic response of any train type interaction can be handled by windowing and Real Fast Fourier Transform (RFFT). Dense layer with 5 neurons, using the ReLu activation function, and specifying the input shape as (6= 3-axis accelerometer in X, Y, and Z directions, and 3 axis directions from gyroscope). The classification process in this implementation, which consist of three classes of train types, has been completed with accuracy above 92,7%.&#x0D;
Social Media-Based Sentiment Analysis: Electric Vehicle Usage in Indonesia

This research analyzes the sentiment regarding the use of electric vehicles in Indonesia through social media, utilizing over 10,000 data points from Twitter. The results indicate a variation of positive, negative, and neutral sentiments towards electric vehicles on social media. Female users play a significant role in expressing their views and actively participating in discussions related to electric vehicles. The locations with the highest user activity discussing electric vehicles are Indonesia, DKI Jakarta, Makassar, Tangerang, and Karawang. The peak activity was observed in September 2019, suggesting a significant interest in electric vehicles. The SVM algorithm achieved an accuracy of 88% for positive and neutral sentiments, but performed relatively lower for negative sentiments. This research lacks data on the gender and age of the respondents. Future studies should address these shortcomings to gain a deeper understanding of public perceptions regarding electric vehicles in Indonesia.
Creative Coding as a Modern Art Tool

The research examines the phenomenon of creative programming as an example of the interaction between art and technology. The historical prerequisites for its emergence and various tools for its implementation are analysed. Systematization and analysis of existing platforms and computer languages for creative programming made it possible to classify them chronologically, according to principles of work, and technical characteristics. The main ways of using creative programming in different periods were explored in analysing contemporary art projects that used creative programming. Thus, The Algobabez duo used real-time programming with SuperCollider software at their performances. The capabilities of MAX/MSP made it possible to implement the performer-computer interaction in Inter-sax-tive by composer Nicolas Scherzinger. In the interactive project Messa di Voce, the sound is transformed with the help of the Openframeworks software into graphics, which affects the performers. In other cases, the software was written specifically for an art project. In the Abraham project, artist and programmer Gene Kogan tries to create an autonomous artificial artist who has his own will and can create authentic visual images. As part of the multidisciplinary interactive project "Hakanaï", we can see how code written specifically for the project, allows performer to interact with a visual projection (mapping) that, in turn, interacts with the performer’s moves. We prove that creative programming has become a promising, independent tool of creativity within modern interdisciplinary artistic practices, borders of which continue to expand thanks to the open code approach and the involvement of a community of like-minded people.
Technologies of Visualization of Educational Material - One of the Ways to Form Information Competence

The urgency of the article lies in the substantiation of the importance of using visualization technology in the process of education in the current period, defining the difference between this technology and the principle of visualization at the lesson in the today's educational institution. The article covers the concept of information competence and its components, describes techniques of visualization technology of teaching material, aimed at forming this competence. Special attention is paid to the methods of visualization at a lesson for the purpose of better knowledge assimilation. The article also describes different ways of visualization of educational information as a prerequisite for successful teaching of school subjects. The data contained in the article are the results of the analysis of digital services of visualization of educational content and the study of methodological foundations for the use of all kinds of information visualization tools at different stages of learning during the present lesson. The article covers in detail the most modern ways and means of information visualization, including mental maps, timelines, etc., because enormous information flows require the ability to assess this information, to determine its reliability and trustworthiness, to determine the main thing in it. The content of the article is of practical importance for teachers of today's schools.
Harnessing Neural Networks for Enhancing Image Binarization Through Threshold Combination

Threshold-based methods are prevalent across numerous domains, with specific relevance to image binarization, which traditionally employs global and local threshold algorithms. This paper presents a novel approach to image binarization, where the capacity of neural networks is utilized not just for determining optimal thresholds, but also for combining multiple global thresholds sourced from existing binarization techniques. The primary objective of our method is to develop a robust binarization strategy capable of managing a wide array of image conditions. By integrating the strengths of various thresholding techniques, our approach aims to establish a significant connection between traditional thresholding methods and those underpinned by deep learning.
Development of Students’ Metacognitive Skills by Means of Educational Technologies in ESP Instruction at University

Metacognitive skills which provide regulation and management of students’ intellectual activity in the process of their self-education are of great importance, especially in the context of the learner-centered education paradigm in the global information space, with its focus on the self-study and self-development of an individual. In this regard, the article aimed to analyze the development of metacognitive skills in first year students by means of educational technologies in ESP classes at technical university in Ukraine. As shown by the results of the study, educational technologies can be successfully used for the development of such metacognitive skills as self-directed learning skills, collaboration skills, self-management skills, self-reflection skills in first year students studying ESP at university level. The educational technologies used in our study – the Moodle platform, WebQuest, blogs and wikis, Google Classroom, Quizlet – confirmed their efficiency as a useful tool for the development of metacognition since they provide the learning environment which makes it possible for students to organize and control their learning, make decisions, reflect on the results of their learning experience and make necessary changes and adjustments if necessary.
Identifying Multiple Outliers in Linear Functional Relationship Model using a Robust Clustering Method

Outliers are some observation points outside the usual pattern of the other observations. It is essential to detect outliers as anomalous observations can affect the inference made in the analysis. In this study, we propose an efficient clustering procedure to identify multiple outliers in the linear functional relationship model using the single linkage algorithm with the Euclidean distance as the similarity measure. A new robust cut-off point using the median and median absolute deviation for the tree heights to classify the potential outliers are proposed in this study. Experimental results from the simulation study suggest our proposed method is able to identify the presence of multiple outliers with very small probability of swamping and masking. Application in real data also shows that the proposed clustering method for this linear functional relationship model successfully detects the outliers, thus suggesting the method's practicality in real-world problems.
Preface

On behalf of organizing committee members, it is our great honor to welcome you to the 2022 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2022). 2022 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2022), organized by the Hong Kong Society of Robotics and Automation (HKSRA) was successfully held virtually on Webex from 14th-17th, October due to the Covid pandemic. The purpose of this gathering is to bring researchers, engineers, scientists, and industry professionals to this open forum where advances in the field of robotics and artificial intelligence can be shared and exchanged. List of Committee is available in this Pdf.
Information Seeking Behavior of MAFINDO Fact-Checking Team in Verifying the Truth of Information on Social Media

Information-seeking behavior is an activity in searching for information that is needed or desired with a specific purpose. This study aims to describe the information-seeking behavior of the Masyarakat Anti Fitnah Indonesia (MAFINDO) fact-checking team. The research method used is a qualitative approach with the type of exploratory research. The data obtained are the results of interviews with MAFINDO fact-checkers as informants and literature studies. The results showed that the information-seeking behavior of the MAFINDO fact-checking team was divided into three stages, namely before searching for information, when searching for information, and after searching for information. Before searching for information, the MAFINDO fact-checking team looked for hoaxes to be verified. When searching for information, the MAFINDO fact-checking team looks for references with predetermined criteria using tools or search engines that match the hoaxes to be verified. After searching for information, the MAFINDO fact-checking team used the references obtained, processed them into fact-checking articles, and published them. The behavior of the MAFINDO fact-checking team in conducting information seeking tends to follow Wilson (1981) information-seeking behavior model, Krikelas (1983) information-seeking behavior model, Wilson (1996) search-behavior model, and Ellis information-seeking behavior model which has been developed and expanded by Meho and Tibbo (2003). And there is no visible tendency to follow Kuhlthau (1991) information-seeking behavior model.
Building a Social Space through a Digital Library

The development of the 4.0 revolution changed the library paradigm, shifting the types of libraries from conventional to digital libraries. The IFLA/UNESCO Manifesto for Digital Libraries officially declares a new paradigm shift in libraries. This manifesto allows libraries to save space by developing digital libraries to build social zones. A social zone is a place for human interaction in various activities. Interaction can occur in a physical or virtual context. This study aims to examine the potential for developing social space through the development of digital libraries. This study used a qualitative method with a field and literature study approach. This study conducted field data validation tests using triangulation techniques. Based on field research, libraries that have implemented digital libraries can save space usage. The room was originally for placing collection shelves; libraries can then use them to create public spaces. The creation of public space by the library is for activities that involve community participation, such as literacy. In addition, using space to build a co-working space also indirectly contributes to social interaction through discussion activities. The next task of the library is how the library can provide quality collections so that the library can make it a center of information.
LEMMA-ROUGE: An Evaluation Metric for Arabic Abstractive Text Summarization

High morphological languages are characterized by complex inflections and derivations, which can present challenges for natural language processing tasks such as summarization. Abstractive text summarization aims to generate a summary by understanding the meaning of the text, rather than solely relying on the words used in the original source. However, few works address the&nbsp; generation of abstractive summaries due to its complexity. One of the challenges is the absence of a reliable metric to evaluate the performance of abstractive summaries. This paper proposes a lemma-based ROUGE metric and investigates the effectiveness of normalization forms in the similarity matching of the ROUGE metric for evaluating abstractive text summarization systems. We use Arabic as a case study and compare results involving different forms of the word: as is, stem-based, and lemma-based. The results show that the lemma-based form achieves higher ROUGE scores than the other forms. The findings emphasize the impact of morphological complexity on the performance of abstractive text summarization systems.
Application of the Apriori Algorithm to Purchase Patterns

The purpose of this research is to produce an Apriori Algorithm application system to increase sales turnover at Viona stores. The problem faced by the Viona store is that the Viona store has decreased turnover in the midst of business competition because it has not been able to optimally analyze the products that are often purchased and the combination of purchases by consumers so that sales seem monotonous and do not have a business strategy to attract customers. sales that can attract consumers. One way is to make sales with sales packages at lower prices. It must have a good pattern and analysis to be able to combine products into a sales package. However, with the limited ability of Information Technology, in this study a sales application was built that applies the a priori algorithm. This a priori algorithm is very effective in finding the relationship pattern of one or more itemsets in a large data set so that it is effective in calculating a sales transaction data and finding patterns of combinations of consumer habits and being able to quickly create product sales packages. increase sales turnover. The results of the process of applying the a priori algorithm to sales data at the Viona Store through the RapidMiner application are the same as the results applied to the system built and using sales transaction data for the month of May 2022 using a minimum support of 30% and minimum confidence of 30%. So from this study, information was obtained that the items that were often purchased together during this May period were lighters and cigarettes with 100% Confidence. And for the month of June Viona Stores can recommend packages in their store by looking at the results of a combination of 3 items, which are later expected to increase sales turnover at Viona Stores.
PENGARUH SARANA DAN PRASARANA PEMBELAJARAN TERHADAP PENINGKATAN MOTIVASI BELAJAR DI TK CEMPAKA DESA PANTAI LABU PEKAN

The purpose of this study was to determine whether the facilities and resources available at Cempaka Kindergarten in Pantai Labu Pekan village influenced students' learning motivation. The type of research used in this research is the descriptive qualitative method, namely the researcher tries to reveal a fact or reality of certain social phenomena as they are. Which aims to determine the effect of school facilities and infrastructure on increasing learning motivation in Kindergarten Cempaka, Pantai Labu Pekan village. The experimental unit in this study was all 30 students. The research was carried out in 6 meetings. The benchmark in this study is the availability of standard educational facilities and infrastructure including study rooms, sports areas, places of worship, libraries, laboratories, workshops, playgrounds, recreation and creative areas, and other learning resources needed to support the learning process. including the use of information and communication technology. The results of testing the hypothesis show that the r value obtained from the calculation (r-count) = 0.484 is greater than the r value obtained from the distribution table r (r-table) r-table = 0.361 with a significance level of 5% (r-count &gt; r-table). The meaning shows that H1 is accepted. This proves that school facilities and infrastructure influence increasing student learning motivation in Cempaka kindergarten, Pantai Labu Pekan village.&#x0D;
THE EFFECTIVENESS OF SPINNING WHEEL GAMES IN INTRODUCING ENGLISH VOCABULARY IN CHILDREN IN KINDERGARTEN

This study aims to determine the effectiveness of the spinning wheel game in introducing English vocabulary to early childhood at Fadhilah Amal 3 Kindergarten, Padang City. In this study, 20 children were taken as research objects, where 10 children came from the control group and 10 children came from the experimental group. This study uses a quasi-experimental research method in which there is a pre-test and post-test control group. Data collection techniques used in this study were tests and observations. The sampling technique in this study is cluster sampling. Testing the research instrument used a validation test with professional judgment to find out the results with the help of SPSS 19.0 using the alpha Cronbach technique. Testing the hypothesis using statistical techniques T-test with the help of SPSS 19.0 for Windows which shows a significance level of 0.002 &lt; 0.05. Obtaining an effect size of 1.77 is concluded to be included in the high category, thus the spinning wheel game in the introduction of English vocabulary is significantly effective.&#x0D;
It Is Not Your Fault, Tell Someone: Case Studies of Young Women’s Experiences of Online Grooming in England

This research study aimed to explore how young people experience cybercrime, with the study being inductive. Thus, the type of crime(s) emerged from the convenience sample and so happened to be online grooming of young women. Using the case study method, two semi-structured interviews were conducted with young women who were ages 12 and 16 (at the time of the study) with in-depth information provided for each case. The data were then triangulated between the research team and the Victim Service who co-created the study (including materials) and co-produced the manuscript. This method of triangulation also occurred to ensure the similarities and differences identified in the discussion. Similarities included that both young women had a trusted adult to tell and that they were not to blame. Differences occurred with the police involvement as well as contradictions in the advice of ‘just block them’. This study calls for better school-based interventions and police response using actual case studies for training and education. Suggestions for future research are further explored and include more tailored quantitative projects, further case studies and other qualitative methods, and a standardized curriculum for safety that can be devised with the Victim Service. Most importantly, if online grooming occurs, this is not because the individual has done something wrong or deserves it, rather they should tell an adult and seek help to end the behaviour.
Design of the 'SI ULET' Accounting Information System for Quick Calculation of Merchandise Inventory at AtariaShop Plastic Houseware Bandung Barat

Accounting information systems are very important to business activities. The amount of merchandise inventory owned by the company must be monitored for its availability because it is sold for profit. It is known that AtariaShop Plastic Houseware still uses a manual system to calculate its merchandise inventory. This causes the calculation of merchandise inventory to be slow, and the resulting information is often inaccurate. The qualitative approach method was used by the researchers in this study. Assisting in the calculation of computerized merchandise inventory requires the design of an accounting information system named SI ULET. This system as a whole displays the final report in the form of merchandise stock cards. SI ULET is proven to help business activities run effectively because this system can display the mobility of in-out merchandise due to purchases and sales so that the amount of merchandise inventory in stores can be quickly identified.