Reviewerly/exHarmony huggingface dataset:
Augmented Reality: New Approach in Distance Education Studentsâ€™ Learning Process

The Educational Technology Study Program of Universitas Terbuka offers online practical courses. However, students face difficulties to complete their learning objectives in these courses. This study aims to provide appropriate media and adequate learning experiences for distance education students using augmented reality. Design of this study uses ADDIE model. Population of this study are students and tutors in 20 regional offices. The results showed that augmented reality media in online tutorials was quite effective in providing learning experiences. Augmented reality can bring reality into classroom for distance education students and assist them practice their courses. Even so, students still face obstacles in using the media, namely the incompatibility of student devices with the media, and minimum required tools to produce instructional video program. Therefore, a synchronous learning session between students and tutor is necessary.
Automatic Identification of Human Subgroups in Time-Dependent Pedestrian Flow Networks

The study of identifying human subgroups from videos is a significant topic, which has received a lot of attention in multiple disciplines. So far, however, there has been little consideration about combining it with relevant conceptions in network science. Therefore, this paper proposes a novel method for the automatic identification of human subgroups in dynamic pedestrian flows. The spatial proximity and temporal continuity are combined to calculate the interaction intensity between pedestrians, by which a time-dependent pedestrian flow network is constructed. Based on the objective function of weighted partition density, the optimal threshold is used to determine community structures that correspond to human subgroups in frame images. Numerical experiments demonstrate that our method achieves high identification accuracy under various evaluation datasets, and exhibits better performance than existing methods in terms of different crowd densities, various numbers of subgroup members, and certain levels of trajectory noise. Furthermore, this work provides valuable implications for the understanding of subgroup behaviors and the modeling of subgroup movements.
Pengelolaan Google Classroom dalam Hasil Belajar Siswa

This study aims to explain effectiveness in managing google classroom and its obstacles, and describe learning outcomes in managing google classroom. This research uses a qualitative approach with a descriptive type. The research results show that the management of google classroom runs quite effectively in the learning process because students are more active and enthusiastic about using google classroom during the learning process. The obstacles in managing Google Classroom include that there are still students who don't have an Android cellphone, have difficulty buying internet quota and for students who live far from the city have difficulty getting an internet signal. Learning outcomes obtained in the collection of student assignments. Teachers and students must be active in Google Classroom and students can collect assignments through photos or documents then the teacher can immediately give grades so that students can find out the results of assignment scores that have been collected through Google Classroom. In conclusion, the management of google classroom as a learning tool runs quite effectively, teachers and students can use google classroom as an alternative to online learning, even though there are some drawbacks and obstacles such as quota availability, signal problems and cellphone misuse.&#x0D; &#x0D; Keywords: Google classroom, Learning Outcomes, Management
Interpersonal Meaning of Systemic Functional Multimodal Discourse Analysis on World Immunization Week 2021 Posters Related to Covid-19 Issue

The purpose of this study is to determine how World Health Organization (WHO) packaged information related to Covid-19 issue, especially in the campaign of vaccination program all over the world. The interactional meaning represented in World Immunization Week 2021 Posters used by WHO in the campaign is examined and analyzed. The analysis focuses on the representation of visual and verbal mode through a Systemic Functional Multimodal Discourse Analysis (SFMDA) approach; this approach makes it possible to complete the analysis by using not only visual grammar in determining the visual mode but also Systemic Functional Grammar in determining the verbal mode. By visual grammar, interactional meaning is analyzed through the concept of interactive meaning involving attitude, social distance, contact, and modality in both interactive and represented participants while by Systemic Functional Grammar, the meaning is analyzed through the concept of interpersonal meaning involving the analysis of mood system. The results reveal that a compact combination between visual mode and verbal mode may increase the viewers’ readability and appropriate knowledge to the message of the posters, and finally, the goals which are expected by WHO as the poster maker in the campaign can be communicated and understood well
A Cross-Cultural Examination of Emoji and Emoticon Use: Sex, Race, And Ethnicity

The advent of computer-mediated communication (CMC) systems has changed the way people communicate with one another. Text-based communication, in particular, has become a popular alternative to phone calls, providing technology users with an asynchronous modality to converse and relay information quickly. Graphicons, such as emojis and emoticons, are now widely used to supplement text in these mediums. While emojis and emoticons are commonly used to convey emotions, feelings, and other forms of nonverbal information, there exist several sociocultural factors that moderate their use. We surveyed 756 young adults in the United States and examined their self-reported use of emojis and emoticons across sociocultural factors of Sex, Race, and Ethnicity. Consistent with previous examinations of emoji and emoticon use, we observed higher frequency of use measures for emojis and emoticons among female respondents. We also observed racial and ethnic differences between respondents who identified as White1, Black, and Asian. Most notably, we observed higher frequency of use measures for emojis amongst Black participants and higher frequency of use measures for emoticons amongst Asian participants. We discuss these findings and highlight the need for future intentioned investigations into the role of culture in emoji and emoticon use.
Reconstruction of Women’s Image in the Novel Innahu ad-Dam by Nawal El Saadawi

This study aims to determine the reconstruction of the image of women in the novel Innahu ad-Dam by Nawal El Saadawi who is a militant feminist figure in Egypt. This novel tells of the courage of the female characters in the big demonstration that took place in Tahrir Square, Egypt. The theory used in this research is Jonathan Culler’s theory of literary criticism with the concept of ‘reading as a woman.’ The research method used is descriptive analysis method with consideration of the objects studied are novel texts. The formal object of this research is the reconstruction of the image of women, while the object of this research is the novel Innahu ad-Dam by Nawal El Saadawi. The result of this research is the reconstruction of the image of women described by Nawal El Saadawi. Women who are constructed by socio-culture as weak creatures, in the view of the image of traditional women, in this study the results obtained that the female characters depicted have the image of independent women.
Teaching ESP online during the pandemic – a teachers’ perspective

Due to the COVID-19 pandemic, teachers and educators have been forced to introduce digital solutions within a very short time, which influenced the educational perspective significantly, and required adapting to the new conditions, not only in what concerns teaching methods but also in terms of teaching content. Contrary to the commonly held opinion that teaching at tertiary level has not changed considerably, since it concerns adults who are already autonomous, the new teaching challenges have had an impact on tertiary education as well. Moreover, university teachers needed to face this new reality without prior preparation. The aim of this paper is to present the current pandemic-driven situation from the perspective of ESP teachers from various European countries by revealing not only some of the challenges posed by the pandemic, but also certain good practices which may become a guide for other ESP teachers. The methodology applied to inquiring this research question was a qualitative-quantitative online survey distributed among ESP teachers in European countries. The results show that online teaching during the pandemic was challenging for most respondents, at the same time offering them the opportunity to develop professionally by improving their technical skills and learning how to use online platforms, apps and tools.
An Analysis about Different Steps that Play an Indispensable Role in Developing Enterprise Data Protection Framework

Enterprise data framework is the way of protecting various data or information in a systematic way. This is depicted strategic application in the way of major ethical practices in the company. The EDM structure of the company and this maintain data protection with various steps like, data identification, assigned compliance, tackling of different limitations, creation f report and sensitive data description. Researcher uses “interpretivism” research philosophy and “inductive” research approach to maintain proper strategy and process of work. Secondary data are collected by researcher with help of this qualitative research type. Several types of strategies related to data privacy protection are mentioned in this study. Financial and organisational losses are managed with help of this data protection framework. Authorisation and authentication are two types of data privacy processes globally. Data protection framework is also managed with the help of this privacy framework. 4 P’s of data privacy is also mentioned in this study. Security and compliance strategy is also mentioned here. Security threats and privacy threats are mentioned in this study.
EVALUASI SISTEM INFORMASI AKUTANSI PEMBELIAN DAN PENJUALAN PADA TOKO BAJU MAYANG STORE DI BONDOWOSO

Information system sales and purchases of goods is a system that provides information services in the form of transaction data sales and purchases of goods. The existence of this information system is important. in this case the Mayang Store is used as a place of research, because the shop still does not use an accounting information system, resulting in errors in existing reports, such as processing sales data and purchasing data. The purpose of this study is to provide convenience when processing sales and purchase transaction data. This research resulted in several uses consisting of practical and academic uses. The type of research used by researchers is qualitative research and the types of data used are primary data and secondary data. This information system was built in order to provide convenience in processing sales and purchase data, as well as processing sales and purchase reports more accurately.
Job Satisfaction And Its Effects on Staff Performance of Al Thawra Hospital in Sana'a, Yemen

Job satisfaction - or lack of it - hinges on a productive, accomplishing relationship between staff and management; indeed, the success of any organization depends on staff members who enjoy their jobs and feel rewarded by their efforts. Ultimately, of all the people in the health care institutions may suffer the most when this vital success factor is lacking. In the past, many scholars have been directed on job satisfaction but this still remains an issue for many organizations. &#x0D; Aim: This study aimed to determine the job satisfaction of Al Thawra Hospital's staff in Sana'a and its effect on their job performance. &#x0D; Methodology: A self-administered questionnaire was used for data collection from several departments of the mentioned hospital. Convenient sampling technique was used and 200 questionnaires were circulated and returned back for analysis. SPSS application was used for data analysis statistically. &#x0D; Results: The results showed that the general job satisfaction level for health workers of Al Thawra Hospital was low (mean = 2.45, SD = 0.64). Health workers' job satisfactions have affected on their job performance (13%) ranged from work environment (15%) to salary (4%). &#x0D; Conclusion and recommendations: Authority of the hospital has to meet its workers' social and economic needs especially salary and rewards. They have to provide a suitable work environment that plays an important role in enhancing workers performances&#x0D;
Moderate Deviation Expansion for Fully Quantum Tasks

The moderate deviation regime is concerned with the finite block length trade-off between communication cost and error for information processing tasks in the asymptotic regime, where the communication cost approaches a capacity-like quantity and the error vanishes at the same time. We find exact characterisations of these trade-offs for a variety of fully quantum communication tasks, including quantum source coding, quantum state splitting, entanglement-assisted quantum channel coding, and entanglement-assisted quantum channel simulation. The main technical tool we derive is a tight relation between the partially smoothed max-information and the hypothesis testing relative entropy. This allows us to obtain the expansion of the partially smoothed max-information for i.i.d. states in the moderate deviation regime.
Techniques and Softwares for Social Media Data Mining

Data mining refers to a framework by which a company can easily enhance their performance. In this study, social media data mining process is critically evaluated with help of several types of data sets. Techniques and software’s are also mentioned in this study, by which a firm maintains this data mining process in a significant way. Importance of social media data mining is to attract more customers. Every company has a goal and objective in global market to enhance their performance. Social media data mining process helps a company to achieve those objectives and goals. Predictive analysis, improved revenue, lower costs and creating awareness are essential benefits of this particular process related to a company. Privacy and security related issues of data are faced by a firm with help of this data mining process. This process requires more amount of money initially, for this reason, small organisations cannot be able to maintain this social media data mining process. Association, clustering, classification, machine learning process, data cleaning and data visualisation are unique and relevant techniques of data mining. Usage of these techniques are briefly discussed in this study..
A Proposed Model for Focused Crawling and Automatic Text Classification of Online Crime Web Pages

With the exponential growth of textual information available from the Internet, there has been an emergent need to find relevant, in-time and in-depth knowledge about crime topic. The huge size of such data makes the process of retrieving and analyzing and use of the valuable information in such texts manually a very difficult task. In this paper, we attempt to address a challenging task i.e. a crawling and classification of crime-specific knowledge on the Web. To do that, a model for online crime text crawling and classification is introduced. First, a crime-specific web crawler is designed to collect web pages of crime topic from the news websites. In this crawler, a binary Naive Bayes classifier is used for filtering crime web pages from others. Second, a multi-classes classification model is applied to categorize the crime pages into their appropriate crime types. In both steps, several feature selection methods are applied to select the most important features. Finally, the model has been evaluated on manually labeled corpus and also on online real world data. The experimental results on manually labeled corpus indicate that Naive Bayes with mutual information and odd ratio feature selection methods can accurately distinguish crime web pages from others with an F1 measure of 0.99. In addition, the experimental results also show that the Naive Bayes classification models can accurately classify crime documents to their appropriate crime types with Macro-F1 measure of 0.87. Our results also on online real word data show that the focused crawler with two-level classification is very effective for gathering high-quality collections of crime Web documents and also for classifying them.
Model Project Based Learning Terhadap Kemampuan Menulis Puisi Pada Siswa Kelas VII SMPN 2 Sepatan Kabupaten Tangerang

This study aims to determine whether the effect of the project baset learning model on the ability to write poetry for class VII students of SMPN 2 Sepatan, Tangerang Regency. This research method is a quantitative method. The research sample was taken in 2 classes, the experimental class and the control class with 40 experimental class students and 40 control class students. The results of the study, from data analysis using the t-test the pooled variance medel t-test pretest experimental class and pretest control class obtained ρ a value of 0.02 which means that Ho is rejected, meaning that there is no difference in the experimental class pretest and the control class pretest, the experimental class posttest and the control class posttest are rejected, while H1 is accepted, meaning there is a difference between the experimental class posttest and the control class posttest using the model project base learning in writing poetry. Through the calculation data it can be concluded that there is an influence of the project baset learning model on the ability to write poetry.&#x0D; &#x0D; Keywords: Project Baset Learning, Poetry Writing, Ability
Can Fraud be Overcome with a Good Understanding of Forensic Accounting?

This research was conducted with the phenomenon of Indonesia not yet learning in independence, especially in understanding forensic accounting which caused the KPK to send investigators to the British Serious Fraud Office, because in 2019 there were 239 cases of fraud that harmed Indonesia. The purpose of this study is to analyze the effect of applying case-based learning in improving the understanding of forensic accounting and to analyze how the understanding of forensic accounting fraud can be identified. The method used in this study is a descriptive analysis method which is to determine the description of each variable studied and verification analysis with path analysis is to determine the effect between variables. This study uses primary data obtained from the questionnaire. The results of this study show that case-based learning affects the improving understanding of forensic accounting, as well as the understanding of forensic accounting, which affects knowing fraud
Inkulkasi Nilai Karakter dalam Teks Cerita Fantasi pada Peserta Didik

This study aims to describe the character values expressed by students in fantasy stories, describe how students express character values in fantasy stories, and describe what character values are dominant in fantasy stories. The method used in this study is a descriptive qualitative method using a case study approach. Sources of data in this research are 30 fantasy stories of students taken according to the criteria of fantasy stories. This research was conducted at SMP Negeri 3 Keruak. Data collection techniques used are questionnaires and documentation. The result of this research is that fantasy story media is one way for teachers to implement character values and identify those character values. After being identified, there are various character values found in students' fantasy stories, namely religious character values, honesty, tolerance, discipline, hard work, independent, creative, democratic, curiosity, love for the homeland, friendly/communicative, peace-loving, fond of reading. , social care, and responsibility. The most dominant or most dominant character value of all students' fantasy stories is the curiosity character value as many as 18 findings. The conclusion of this research is that in the fantasy story text of students there is a content of character values.
Implementation of gamification in learning media to improve student activity and learning outcomes

The demands of the learning process during the current pandemic force teachers and students to carry out digital transformation in the learning process. Especially in the new normal where the learning process is done online. Thus, the learning media made by the teacher must also be adapted to online media so that the learning process can be maximized and increase the activeness of students in learning while online. This study aims to create an online learning media by applying the concept of gamification. The method used in this research is R&amp;D (Research and Development) using analysis, design, and development models. Stages of analysis are carried out to determine the needs of students when learning online. Then in the design stage, the selection of media formats and media design is carried out, and finally at the development stage, the advanced process of making games with programming languages is carried out as a learning medium. The use of gamification learning media is very practical, which can be accessed by students through their devices at home via the internet network. In the learning process, this game can be used to assist teachers in achieving learning objectives so that they can increase learning activity and the value of students in one basic competency.
The Impact of E-learning on Student Learning Motivation

This study aims to determine the impact of e-learning on student learning motivation. Indicators of e-learning include learning and evaluation materials, community, online lecturers, collaboration and multimedia. The indicators of learning motivation include college desire, encouragement to complete college, expectations of attending lectures, awards in lectures, interesting activities during lectures and a conducive environment. Various obstacles in running e-learning such as network unpreparedness, too much task load, less than optimal interactive lecturers and so on became the basis for conducting this research. The method used in this research is descriptive and verification with a quantitative approach. Respondents in this study were 104 students. The source of data in this study is primary data with data collection techniques carried out through survey methods using questionnaires. The analytical method used in this study is the SmartPLS 3.3.3 . software. The results of this study indicate that e-learning has an effect on student learning motivation. The results of data processing show that for e-learning multimedia indicators are still not good and this shows that the learning media, both video, audio and online simulations are still not optimally used as online learning media. As for learning motivation, indicators of college desire, awards for online lectures, interesting activities and a conducive environment have not been obtained optimally by students. This shows that in conducting online lectures it is necessary to have interesting media in conveying material so that student learning motivation is mentioned
The 4<sup>th</sup> International Workshop on Artificial Intelligence Applications in Internet of Things (AI<sup>2</sup>OT 2022): Preface

The rapid development of Internet of Things (IoTs) has posed many complex problems that are difficult to be solved with traditional techniques/algorithms. Recently, the explosive progress in artificial intelligence, especially machine learning, provides new dimensions to design and develop learning-based solutions for many IoT problems. This workshop provides a forum for academic researchers and industry practitioners to exchange the most recent progress in artificial intelligence applications in Internet of Things.