Reviewerly/exHarmony huggingface dataset:
The 5E Learning Cycle Model as Development of Booklet Teaching Materials at SMK BM Panca Budi 2 Medan

The purpose of this research was to determine the feasibility of booklet teaching materials based on the 5E learning cycle model developed in accounting subjects for class X SMK BM Panca Budi 2 Medan. The location of the research was at SMK BM Panca Budi 2 Medan, on Jalan Gatot Subroto KM 4,5. The class was class X Accounting for the 2020/2021 Academic Year. This research applied quantitative research and development with a 4-D teaching material development model (Four D Model), or 4P by Thiagjaran and Semmel (Trianto, 2013). The 4D development model consists of 4 main stages, namely: (1) define, (2) design, (3) develop, and (4) disseminate. The data analysis technique used was descriptive and inferential techniques. Based on the results of the research, the product of booklet teaching materials based on the 5E learning cycle model in accounting subjects with general journal material in class X SMK BM Panca Budi 2 Medan was feasible to use based on material expert validation with an average of 96.37% design experts, an average of 95, 8% and media experts with an average of 92.9%. Thus, it is suggested to teachers, especially at SMK BM Panca Budi 2 Medan to be more creative in making teaching materials.
Expert System to Diagnose Diseases in Durian Plants using Naïve Bayes

Durian is a fruit that is very popular and very easy to find throughout Indonesia. Durian fruit is a thorny fruit with a very pungent smell with a distinctive taste, and for some durian fans, the distinctive taste of durian is what makes durian unique compared to other fruits. However, it is unfortunate that the production and quality of durian fruit in Indonesia is currently still low due to the limited knowledge of farmers in caring for and maintaining durian plants from pests and diseases on durian plants. So far, in detecting pests and diseases, farmers still carry out pest and disease detection manually, and of course, this is very dependent on pest and disease observers/experts. For this reason, so that later the level of production and quality of durian in Indonesia can increase, we create an expert system to diagnose a disease in durian plants to help farmers overcome problems around pests and diseases commonly occur in durian plants. This study uses the Naïve Bayes method as a determinant of durian disease. The experimental results yield an accuracy of 82%, which indicates the proposed method is quite good in diagnosing durian disease.
Cybersickness Analysis Using Symbolic Machine Learning Algorithms

Virtual reality (VR) and head-mounted displays are constantly gaining popularity in various fields such as education, military, entertainment, and health. Although such technologies provide a high sense of immersion, they can also trigger symptoms of discomfort. This condition is called cybersickness (CS) and is quite popular in recent VR publications. This work proposes a novel experimental analysis using symbolic machine learning to rank potential causes of CS in VR games. We estimate CS causes and rank them according to their impact on the classical machine learning classification task. Experiments are performed using two VR games and 6 experimental protocols along with 37 valid samples from a total of 88 volunteers.
Explicit kissing scene detection in cartoon using convolutional long short-term memory

The main concern of this study is due to certain cartoon content consisting of explicit scenes such as kissing, sex, violence. That are somehow not suitable for kids and may contradict to some religions and cultures. There are some reasons the film industry does not expel the kissing scene in a cartoon movie. It is categorized as a romance sequence and love scene. These could be a double-edged weapon that will ruin an individual’s childhood through excessive exposure to explicit content. This paper proposes a deep learning-based classifier to detect the kissing scene in the cartoon by using Darknet-19 for frame-level feature extraction, while the feature aggregation in the temporal domain is using convolutional long short-term memory (conv-LSTM). This paper also has discussed a few steps related to evaluation and analysis regarding the performance of the models. Extensive experiments prove that the proposed system provides excellent results of 96.43% accuracy to detect the kissing scene in the cartoon. Due to high accuracy performance, the model is suitable to be a kissing scene filter feature in a digital video player that may able to decrease the excessive exposure to explicit content for kids.
Online Teaching Experience Sharing in Colleges and Universities

With the innovation and breakthrough in 5G technology and computer-related fields, the learning methods and education mode have ushered in the new age of transformation. Subsequently, the way of teaching is also changing from offline teaching to online teaching. At present, how to ensure the teaching quality of online teaching poses a great challenge to educators. This paper introduces the characteristics of the current online teaching platform and some experience in the process of online teaching in order to explore and improve together.
Penerapan Neural Network Dalam Klasifikasi Citra Permainan Batu Kertas Gunting dengan Probabilistic Neural Network

In this research, an image classification model was developed to distinguish hand objects pointing at rock, paper, and scissors using one of the popular image classification methods, namely the Probabilistic Neural Network. Probabilistic Neural Network is a method in an artificial neural network that is used to classify a category based on the results of calculating the distance between the density function and the probability. PNN has 4 stages of processing, namely Input Layer, Pattern Layer, Summation Layer, and Output Layer. Tests in the study were carried out with a total of 60 testing data from three object classes from the dataset. Then the results of the classification of Batu, Scissors, and Paper hand images using the application of the PNN algorithm in this research test obtained an average accuracy value of 90%
Decision Support System for the Selection of Junior High Schools (Smp) in Pasuruan Regency With the Simple Additive Weighting (Saw) Method

Education is important for society. Junior high school (SMP) is an official education located in Indonesia. Learning institutions under the supervision of teachers are called schools. In Pasuruan district there are many schoolsspecially for private junior high schools (junior high schools). Therefore, the selection of the right school is very important because it can affect the next level of education and later work. This research intends to help prospective students choose the right school by utilizing simple additive weighting (SAW) methods into the system. The simple additive weighting (SAW) method isused by the author for the fight with the weighted sum. The results of this study are in the form of a system using python language and flask framework. The end result of this system produces a percentage of 80% which means that this system can help prospective students to determine the right school selection.
Descriptive analysis of methadone 2021 participants before and after participating in the video editing workshop

Since the enactment of the Indonesian Government regulation, namely Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM), many community activities have to be carried out from home. It is undeniable that the presence of negative and positive emotions in the young generation of productive age during this pandemic have an impact on their creativity. They are more open to new creative ideas. In addition, the feeling of boredom facing this pandemic can also be reduced by doing creative activities, one of which is video editing. One way to increase creativity in video editing is found through skills training and in this case, the group of 8 KKN FK UNAIR held an online workshop in the METHADONE event series as a platform that facilitates basic training in video editing. This study was conducted with the aim of knowing the description of the character, knowledge, and behavior of participants before and after participating in the METHADONE 2021 video editing workshop. The research design chosen was descriptive analysis using primary data based on the results of pre-test and post-test questionnaires whose validity had been tested using correlation value (Pearson Correlation) and reliability test with Cronbach's Alpha method. Samples were taken using Total Sampling technique that met the research inclusion criteria. Then, the data were analyzed using SPSS software and presented descriptively with a frequency distribution table. Most participants were women aged 17-25 years old. This study shows that this workshop provided has an effect and improves the participants' understanding and ability in editing videos.
A CORRELATION BETWEEN STUDENTS’ LISTENING AND WRITING SKILLS: A STUDY AT AN ISLAMIC BOARDING SCHOOL

The study explored the relationship between listening and writing skills of second-grade junior high school students of an Islamic boarding school in Indonesia. This research aimed at: (1) how is the performance of males and females’ listening and writing skills? (2) how is the portrayal of students' listening skills compared to students' writing skills in Islamic boarding schools? and (3) whether there is a correlation between students' listening skills and students' writing skills in Islamic boarding schools? The data was obtained from listening and writing scores. Results showed that r-count &gt; r-table (r-count= 0.8699; r-table= 0.3291). It can be concluded that the student's performance in the listening and writing scores was statistically significantly correlated. However, the significant correlation of listening and writing skills in this study is feasibly valid for the context.
DYNAMIC PANEL APPROACH ON FOREIGN DIRECT INVESTMENT AND TERRORISM IN WEST AND CENTRAL AFRICA

This study examined the connection between terrorism and foreign direct investment (FDI) inflow in the terrorised countries ofWest and Central Africa. The study used panel data of 12 West and Central African countries with issues of terrorism from 1999-2019, on the panel ARDL technique. From the results obtained, terrorism is found to discourages inflow of FDI in the sample countries. The study recommends that, countries concern shouldengage more security set ups in order to secure the environment for theeffective inflow of foreign direct investment. KEYWORDS: foreign direct investment, terrorism, panel data
Educational information technologies in pandemic

The purpose of the article is to analyze information technologies in education in a pandemic, to identify the main advantages and disadvantages of their use in the educational process. The following research methods were used to solve the set tasks: theoretical (study and analysis of scientific and pedagogical, psychological and pedagogical, reference, specialized literature, regulatory documentation on the topic of research, additional professional advanced training programs; analysis, comparison, classification of the information received and generalization); empirical (pedagogical experiment, observation, questionnaire survey, survey, conversation, testing); mathematical (statistical data processing). The article raises a problem that is caused by the need to find the best ways to form the digital literacy of a teacher in the process of professional development in the developing information space. Among the main problems of the information society, important are those that relate to the philosophical and pedagogical foundations of the strategy for the development of education in Ukraine, including problems related to informatization and computerization of the educational process, the emergence of the concept of digitalization of the individual. Telecommunications occupy the main place in the educational process of modern higher education. The main disadvantages and advantages of using multimedia technologies in education are analyzed.
AN ANALYSIS OF DISCOURSE MARKERS IN THE ARTICLES ON HAMLET DRAMA WRITTEN BY ENGLISH EDUCATION STUDENTS AT UNIVERSITY OF MATARAM

This study is targeting at portraying the sorts and the errors of discourse markers made in the articles on Hamlet drama composed by the 6th semester students of English education program at University of Mataram in the academic year 2019/2020. The technique of conducting this investigation is a blended strategy or mix of qualitative and quantitative techniques. The data were gathered from 26 students’ articles. The result of this study showed that all the types in three functional classes of discourse markers by Bruce Fraser (2009) were used by students in their articles. They are Elaborative Discourse Markers with total number of occurrences 200 times (43.20%), Contrastive Discourse Markers with total number of occurrences 169 times (36.50%), and Inferential Discourse Markers with total number of occurrences 94 times (20.30%). The researcher found that Elaborative Discourse Markers are most frequently employed by students to elaborate the ideas. Furthermore, there are some errors in student’s articles related to Kao and Chen's theory (2011) about the six types of misuse patterns. Turns out three of six misuse patterns occur in students’ articles such as distraction, wrong relation, and semantic incompletion. There are no surface logicality, non-equivalent exchange, and overuse occurred in students’ articles.
Contributed Session II: Effects of event number and adaptation duration on blur and face aftereffects

Previous studies have revealed that the strength of adaptation aftereffects can depend on both the number of adaptation events (trials) and the duration of each event. However, how these effects depend on the stimulus property adapted remains unknown. In the present study, we compared the influence of adaptation event number vs event duration on the strength of adaptation for blur or face aftereffects. For blur adaptation, we filtered a natural image's amplitude spectrum over slopes between -1 (blurred) to +1 (sharpened) relative to the original image to create a series of blurred/sharpened images. For face adaptation, we morphed an Asian and Caucasian face image resulting in a finely graded series of images spanning the two ethnicities. During each top-up adapting period, we varied the number of adaptation events (4 or 16) and duration of each event (250ms or 1s), resulting in 4 event number-event duration conditions. Our results suggest that the effects of event number and event duration on the strength of aftereffects are similar for blur and face adaptation.
Development of the axiosphere of a future teacher in the dialogue space of modern education

The article reveals the peculiarities of the development of the axiosphere of the future teacher in the dialogue space of modern education. The purposeful formation of the system of personal-professional system of values is actualized. Pedagogical axiology is characterized. It is determined that the basis of pedagogical axiology as a science of the values of education is a specific pedagogical interpretation of the most important functions. Considering this space as a context, and as a tool of the educational process, its axiological and semantic potential is noted, which is enhanced by the presence of dialogue space, in the center of which is dialogue as a unique system-forming component. The need to form the value attitude of students to the future pedagogical profession is emphasized. The axiological and semantic potential of the educational space is analyzed. The dialogue space in the center of which there is a dialogue as a unique system-forming component is considered. It is substantiated that the creation of such a space, which forms the axiosphere of the teacher, will help to solve the quality of education, realize the intellectual, spiritual and creative potential of the individual by building an individual trajectory of the subject of educational process; to ensure active interaction of equal subjects, their openness to new experiences, their understanding of the meaning of life and possible options for self-expression; and, finally, to create conditions for free, full-fledged involvement in the humanistic system of values, without violating the nature of educational activities.
Making the Blockchain Ecosystem Secure, Scalable, and Sustainable

In place of the centralized computation of the Internet's current architecture, blockchain could be used to implement self-resilient or self-operating systems, as it upkeeps states with highly resilient mechanisms by design.Despite blockchain's potential to correct problems associated with the current Internet ecosystem, there are several issues that need addressing within the blockchain ecosystem.These include security; the tradeoff between scalability and decentralization; and sustainability.
Multimedia technologies as a means of information visualization in the educational process of preschool institutions

The article is devoted to the problem of using multimedia technologies in the educational process of preschool educational institutions. The author analyzes the positions of modern scientists on the importance of presenting educational material using a computer. The definition of the essence of the concept of «multimedia technologies» is given and the didactic possibilities of multimedia teaching aids are characterized. The basic principles of introduction of multimedia technologies in the educational process of a preschool educational institution are determined and the specifics of presenting knowledge to preschool children by means of multimedia are revealed.
Feasible Technology for Agricultural Residues Utilization for the Obtaining of Value-Added Products

The research is connected with the solving the problem of rational utilization of agricultural residues by the creation of resource-saving method for their efficient conversion into value-added products.Wheat straw was used in this work in chemical processing.Treatment was carried out with the application of formic/acetic acid mixture.Thus, cellulosic pulp was obtained.The spent solution was used to precipitate lignin.The structure of lignin was investigated.The results indicated that formic/acetic acid treatment was quite effective in isolating cellulose from wheat straw and in recovering lignin.Wheat cellulose is a promising fibrous material for the application in paper industry.Wheat lignin can be considered as a material for biosorbent preparation.
The impact of technology on children's culture: تأثير التكنولوجيا على ثقافة الأطفال

The culture of the child is one of the most important matters that occupy the interest of contemporary societies, and it is not isolated from the global changes that the world is witnessing today, the developments in technology have raised many concerns and raised a lot of controversy about the cultural and social risks resulting from the contents of this technology, which come to us in the form of programs, classes, games, and video and audio materials imported from the West. Modern technology has changed the environment in which our children live from that in which we and our parents lived, if these means have changed our way of life and our relationship with family and friends, how will new generations living in an environment of more sophisticated information media and means not be measured by our present and what will happen to the characteristics and identities that we think of today? Children are among the most vulnerable segments of society to social and cultural changes, these technologies will provide children with windows to view the world, and from the above we can ask: What is the impact of technology on children's culture.
The Use of Semantic Mapping Strategy to Improve Students’ Skill in Writing Descriptive Texts: a Classroom Action Research (CAR)

Writing is a complicated skill should be mastered by students as it requires some knowledge related the purpose of the text, generic structure, and language features as well as the skills to organize the ideas and information in a logical way by keeping the unity and coherence of the text, so the piece of writing will be easily understood by the readers. Therefore, some students at the tenth grade of SMK Muhammadiyah Karangampel experience difficulties in writing a text, especially in writing descriptive texts. In order to improve the students’ skills in writing descriptive texts, the teacher applies semantic mapping strategy. The result shows that there is improvement in students’ scores after the treatment as semantic mapping technique facilitates their needs to brainstorm and organize ideas and information.
Mining of High Value Item Sets with Negative Utility

The patterns generated by frequent pattern mining aims to find the frequent items without considering the utilities of the different items. The traditional association rule mining treats all items to be of equal utility. This is not always the case for a real world application. Utility based data mining is a new area of research and is complementing the frequency based approach. The main objective of Utility Mining is to identify the item sets with highest utilities, by considering profit, quantity, cost or other user preferences as the Utility of the item. Recent approaches developed so far considers the utilities of items to be same over a particular period of time. In our approach we have proposed that the utility of items vary over a period of time. Our work also proposed that the utility of items may also assume negative values. Our work thus treats the data mining in more realistic manner
Teaching ESP course for the students of different language competency who are majoring in cybersecurity

The article describes the current situation in terms of teaching ESP English (ESP -English for Specific Purposes) at a particular University -the State University of Intellectual Technologies and Communications (SUITC, Odesa, Ukraine) focusing on the general context in higher education in Ukraine in conditions of COVID-19 outlining certain problems, challenges and solutions.Moreover, the stages of the research in the frame of the Pilot Project (VSPP -Virtual Studying Pilot Project) at SUITC with Peace Corps of the United States of America in Ukraine are presented and the first results on testing the students of non-philological specialties majoring in Cybersecurity are provided along with the practical materials, namely an extract from a pre-test, post-test and a questionnaire for the students.An extended example of the teaching/learning process in online classes is presented based on the three-element classification of personality types: visual, audial, and verbal.Furthermore, as higher educational institutions in our country partly have been working in class and partly online, we are looking at what exactly blended learning is (a particular example of working in this mode is suggested), and why it is important to implement this mode in Ukrainian universities.In addition, we would like to share the experience of team-teaching with a native speaker as English as a lingua franca becomes more widespread, and the language is starting to be found in many different contexts, and one place in which it is now found is the virtual lecture hall not only in English lessons but during teaching other academic subjects as Programming, Higher Mathematics, Telecommunications etc.We are also examining how this approach can be implemented into lectures, tutorials and seminars.In the article, we suggest the results of our research on teaching online and share the experience in working online with the first and second year ICT (ICT -Information and Communication Technologies) students in 2019-2022.Moreover, there are some recommendations and examples which language teachers might need to ensure the smooth running of their classes.The material will be useful for instructors of TEFL (Teaching of English as a Foreign Language), and for teachers and researchers who are interested in special problems for the learner.