Reviewerly/exHarmony huggingface dataset:
Perancangan Keamanan Akses Internet Berbasis Text Filtering Pada Universitas Atma Jaya Makassar

University of Atma Jaya Makassar has good internet access that can be used by everyone in the environment. From the observations, it is known that networks that can be accessed openly have not yet been handled to filter content on a website. Starting from this, the researcher intends to design a proxy server that can handle filtering text content and also optimizes internet access security on UAJM. The results of this study showed that sites categorized as pornography and radicalism are taken at random and then evaluated giving result of 74.9% for pornographic websites and 20.1% for radicalism websites.
Perancangan Sistem Presensi Pengenalan Wajah Pada Sistem Tata Kelola Perkuliahan Universitas Atma Jaya Makassar

Course management system developed by University of Atma Jaya Makassar is providing an environment for course interactions within the classroom. One such interaction is attendance process done by the lecturer in the classroom. In this research, a camera-based attencance system is applied to a handheld device with facial recognition algorithm. The method used in this research is to do face recognition using a camera on a tablet PC so that students who can be recognized by their faces, can be declared present and stored data in the Course Management System (STKP).
Bilingualism in Indonesian Children's Language Acquisition

Language acquisition and development are two important phases in a child’s life. Hundreds of ideas have been tested to build a scientific explanation for how children may understand and produce the languages of their environment. Language intake, exposure volume and duration, and grammatical complexity all appear to have a role in influencing children's language development. These intricacies become even more complicated as children differ greatly from one another. It's on top of the several languages the children pick up along the route. Some children speak only one language (monolingual), whereas others speak multiple languages (bilingual). Apart from the endless debate about whether being bilingual is a blessing or a curse, it is fascinating to study how those children finally end up being bilinguals, either through acquisition or learning. Therefore, this article aims at portraying the phenomenon of bilingualism in Indonesian children’s language acquisition by looking at the strengths and weaknesses of being bilinguals, the important factors in second language acquisition and learning, and the strategies for second language acquisition and learning. In conclusion, to be bilingual, a child has undergone a very long process. Even though some experts are still debating whether bilingualism is beneficial or even harmful for their cognitive, psychological, and linguistic competence, children nowadays are created to be bilinguals even since they were born. As a result, those children grow up as multilingual children who are ready to cope with the dynamic of the environmental changes around them.
Teaching Management System and Algorithm Implementation Based on Big Data Fuzzy K-Means Clustering

In this paper, the clustering algorithm of big data fuzzy K-means is used to research and analyze the teaching management system. Since the values of the indicator variables of bad units are usually significantly different in smooth areas and discontinuous areas, we cluster the indicators of local areas through K-means clustering, so that only good units or bad units are included in each class. The server is deployed on the campus and is networked with the teaching computers of each classroom. Teachers log in to the class rate management system before or during class, log in to their respective users, select the corresponding class, and make corresponding attendance records according to the attendance of students in the class. The system automatically counts the number of expected arrivals, attendance, late arrivals, leave requests, and absenteeism for the class. Teachers can also fill in information feedback for this class: a list of absenteeism, classroom discipline, student learning status, teaching suggestions, and teaching testimonials. The development environment built by this system is a combination of PHP + MYSQL, which reasonably planned according to the overall needs. The development mode adopts the top-down model, which runs through the whole process from system development to testing to application. The most used floating point number encoding is the decimal floating point number encoding. The relationship of each module of the virtual reality teaching management system is sorted out, the overall framework of the virtual reality teaching management system is established, and the design of the business flow diagram of the management system is completed. This paper also uses Oracle database technology to further explain the design process of designing the system database. Finally, combined with the system design and implementation, the system test is completed from two aspects: system function test and performance test.
Lexical Nominalizations in Korean

Chapter 15 investigates the feasibility of an all-syntax approach to lexical nominalizations in Korean. In addition to productive syntactic nominalizations, Korean possesses a rich inventory of deverbal, i.e., lexical, nominalizations. The consensus in the field since the advent of the Lexicalist Hypothesis (Chomsky 1970) that syntactic and lexical nominalizations are formed in different grammatical components has been questioned in recent approaches that advocate a unified syntactic analysis of all nominalizations. The investigation reveals that while there are lexical nominalizations that are argument-bearing, previous arguments purporting to support separation of complex event nominals and simple event, or result, nominals, ultimately do not go through in Korean. Examination of a class of lexical nominalizations that bear some hallmarks of syntactic derivation leads to the same conclusion. Thus, deverbal lexical nominalizations in Korean do not support the kind of unified syntactic analysis of nominalizations that is currently dominant in the literature.
Intelligent E-mail Extraction and Classification Using NLP and Deep Learning

The information extraction of data from unstructured sources has opened new opportunities for querying, organizing and analyzing data with the help of Artificial Intelligence and Deep Learning techniques.The field of information extraction has its root to natural language processing by using widely used techniques like named entity recognition, parts of speech tagging etc.Recent reports confirm that email is still number one online activity.Corporate users send and receive an average of 110 messages per day, out of which about one third are messages sent.IT Helpdesk normally receives queries through emails, it is required for a human to understand the customer problem and extract certain information from the mail and then create a ticket to take further steps.Manual Intervention can be avoided with the help of Natural Language Processing and Deep Learning.
An Analysis of the Education Pledges in the 20th Presidential Election Using the MPP-E Model

대통령 선거가 국가 발전을 위한 합리적 판단과 평가의 장이 되기 위해서는 정책 중심의 선거문화가 발전될 필요가 있다. 정책공약에 대한 논의는 주로 정책학이나 정치학 분야에서 포괄적으로 이루어지고 있으며, 교육공약을 분석한 연구는 부족한 실정이다. 이에 본 연구에서는 MPP-E(Manifesto & Positioning -Education) 모형을 새롭게 설정하여, 20대 대선 후보자들의 교육정책 공약을 분석하였다. 평가 결과, 공약의 지평에서는 이재명 후보가 윤석열 후보에 비해 교육정책 공약을 포괄적으로 제시한 것으로 나타났다. 공약의 심도의 경우, 두 후보 모두 국민의 요구에 부응하는 공약을 제시하였으나, 실현 가능성이 모두 낮게 나타났다. 공약 포지셔닝의 경우, 두 후보 모두 분배 정책에 공약이 집중되었으나, 재분배 정책의 경우 윤석열 후보가 이재명 후보보다 더 많은 공약을 제시한 것으로 나타났다. 본 연구는 차기 선거에서 정당 및 후보자, 유권자들의 교육공약에 대한 관심을 높이고, 제시된 평가 틀은 향후 교육공약 수립과정에서 가이드라인을 제공하는데 의의가 있다.In order for a presidential election to become a field of rational judgment for national development, an improvement of a policy-centered election culture is required. By developing the MPP-E (Manifesto & Positioning-Education) model, this study analyzes the education policies listed in the election pledges of the 20th presidential candidates. As a result, in the case of pledge breadth, candidate Lee was shown to have proposed a more comprehensive educational pledges compared to candidate Yoon. In terms of the depth of the pledges, both candidates suggested pledges in accordance with the demands of the people, all of which demonstrated low feasibility. For pledge positioning, both of the candidates focused their pledges on distribution policies, but candidate Yoon proposed more pledges on redistribution policies compared to candidate Lee. This study is meaningful in increasing the interest of political parties, candidates, and voters in the next election, and providing guidelines in the process of establishing educational pledges in the future.
Developing data literacy: How data services and data fellowships are creating data skilled social researchers

This paper describes two successful approaches to quantitative data literacy training within the UK and the synergies and collaborations between these two programmes. The first is a data literacy training programme, being delivered by the UK Data Service, which focuses on training in basic data literacy skills. The second is a Data Fellows programme that has been developed to help undergraduate social science students gain real-world experience by applying their classroom skills in the workplace. The paper also discusses next steps in the global development of data literacy skills via the EmpoderaData project, which is trialling the Data Fellows programme in Latin America.
A Comparative Analysis on the Writing Test of HSK and IELTS

Following the yearly increase in the number of candidates participating in the HSK, the importance of HSK in evaluating learners proficiency is increasing. However, as HSK focuses on General Chinese, there are problems such as the inability to accurately assess test takers' academic Chinese language ability and the inability to meet their learning needs. IELTS is regarded as a standard language proficiency requirement for university admission, which after years of practice has developed a mature theoretical base with rich practical experience. This will have great reference value for the improvement of HSK. Based on the Communicative Language Testing Theory, this study compares the differences between the HSK Level 4 to Level 6 writing test and the IELTS writing test from three aspects: question type, topic, and scoring criteria, and offers recommendations for resolving the problems within HSK. The research found that the current writing test of HSK is difficult to assess learners' academic Chinese proficiency, difficult to meet the needs of learners' academic writing, and relatively less authentic. In terms of question types, it is suggested that HSK should learn from IELTS and set up the Academic test and General Training test separately and set up corresponding question types. In terms of topics, HSK is advised to choose global topics to expand the breadth and depth. In terms of scoring criteria, it is suggested that HSK could use analytic scoring to assess test takers' writing ability to improve test reliability.
Predicting the Impact of Internet of Things on the Value Added for the Agriculture Sector in Iran Using Mathematical Methods

In terms of water resources, Iran has less fresh water than its population demands. Also, due to climate change, inefficient management and excessive consumption of this vital resource, the water shortage situation is becoming more critical day by day. Searching for a solution for sustainable use of water sources, this study proposes utilizing the Internet of things technology in order to implement smart irrigation in agricultural lands in Iran. Investigating the economic impact of the Internet of Things in Iran’s agriculture sector is the purpose of this article. The most important advantages of using smart irrigation are decreasing water consumption and increasing the productivity of agricultural yields (e.g., fruits, vegetables, etc.). This research attempts to predict Iran's economic growth in the event of smart irrigation implementation in agricultural fields and farms. The effect of investment in smart irrigation on water consumption and agricultural production is estimated by regression with cross-sectional data. In the end, by using the information obtained through the mathematical method, Iran's economic growth through GDP growth is estimated in the case if the Internet of things technology is fully implemented and the full benefits of using this technology are gained.
Sentiment Analysis Model for Public Participation Forums in County Governments

Public participation is important because it helps to close the gap between the public, private sector and the government. However, a successful devolution process in Kenya is hampered by a lack of/inadequate public participation in county governments. Communications gaps are one of the arguments made for this development. The main objective of the study was to develop a sentiment analysis model for use in public participation forums in County Governments in Kenya. The study was conducted through the design thinking process. The population of interest of this study comprised of county management and staff also area residents in Nakuru, Busia and Baringo counties who have participated in public participation forums before. The Bidirectional Encoder Representations from Transformers (BERT) approach was used to create the cloud NLP package and obtain user sentiment magnitudes for the sentiment analysis model. Following that, cross validation was utilized to assess the performance indicators during the design stage, and users took part in the model's assessment. The overall conclusion of validation is that the model performed as expected and recorded instrumental results in increasing effective public participation in county governments in Kenya and strengthen the devolution process. This study recommends that the model can be cascaded to all the counties in Kenya to improve the efficiency of public participation.
Development and Validation of Interactive Multimedia Package on Disaster Management Learning Activities

India is one of the natural disaster prone country .Due to large population growth and migration of people to the urban areas .thecountry has increasing vulnerability to the socio economic impacts of extreme weather like flood, droughts, cyclones etc.In 2004, nearly 250000 people died due to deadliest disaster, Tsunami.On December 15, 2011 Thane cyclone occurred and destroyed more than 1000 hectares of agriculture lands.Simultaneously flood has occurred in Cuddalore, Karaikal, Chennai and Pondicherry.inNovember 2020, very Severe Cyclonic Storm Nivar a tropical cyclone which brought severe impacts to portions of Tamil Nadu and Andhra Pradesh.If one has awareness on tsunami, cyclone and floods, one could take action to minimize the loss of lives and possessions which includes safety and security of life.Knowledge about disaster, disaster preparedness and disaster management plays a vital role in minimizing the effects of disaster.From the research studies, it has been observed that children are mostly affected by natural hazards and them suffering both physically and mentally.Teaching Disaster management in the schools, colleges and universities will make the youth to aware about the various disasters and it will make them to face the disasters or any crisis with their knowledge, self-confidence and survival skills.Hence the disaster management is important for the School children to safeguard themselves and they can also impart it to family, society and others in future.In the view of the above, the investigator has decided to develop and validate activity based Interactive Multimedia package on Disaster Management Learning Activities for school students and it is entitled as "DEVELOPMENT AND VALIDATION OF INTERACTIVE MULTIMEDIA PACKAGE ON DISASTER MANAGEMENT LEARNING ACTIVITIES FOR SCHOOL STUDENTS" II. OPERATIONAL DEFINITIONS A. DisasterIn this present study the investigator refers disaster is an unexpected natural flood, cyclone and tsunami, etc which causing significant physical damage or destruction, loss of life or sometimes permanent change to the natural environment. B. Disaster ManagementDisaster management means managing resources and various responsibilities to deal with all humanitarian aspects of emergencies.This may include preparedness, response and recovery.The purpose of disaster management is to lessen the impact of disasters. C. Web definition (Wiki Pedia)In this present study the investigator refers Disaster management to how one can manage and implement the action of plan with reference to cyclone, flood and tsunami. D. Interactive MultimediaMultimedia is the technology engaging a variety of media, including text, audio, video, graphics and animation, either separately or in combination with computers to communicate ideas or to disseminate information.In this present study the investigator refers multimedia to teach the electronic module which includes both audio / video.
THE EFFECTIVENESS OF ARCS ( ATTENTION, RELEVANCE,CONFIDENCE AND SATISFACTION) MODEL TO IMPROVE STUDENTS' LISTENING COMPREHENSION

The aims of this study to find out the effectiveness of Using ARCS (Attention, Relevance, Confidence and Satisfaction) model to improve students’ listening comprehension at eleventh grade of SMAN 9 Makassar. In this research was a Descriptive Quantitative research which used experimental research by applying random sampling technique. The samples of the research were the eleventh grade students of SMAN 9 Makassar consisted of 25 students XI.MIA 4. The researcher used one group pre-test post-test design. This research was not control group. In the first step, the researcher gave pre-test and gave eight meetings treatment with narrative text material. After the researcher did the treatment, the researcher gave the students post-test.This research findings were the value of pretest to post-test was higher. Before treatment the value of pretest was 70.6, but after the treatment, the mean score of student post-test was 89.8. The result also showed the improvement of student’s listening increased 21.38 %. It showed that t-test &gt; value was higher than t-table 7.08&gt;2.0. So, the conclusion is H0 was rejected and H1 was accepted, the effect of ARCS (Attention, Relevance, Confidence and Satisfaction) model to improve students’ listening comprehension is effective.
Digital citizenship: A study in concept and dimensions

Digital citizenship is one of the topics that occupy the attention of thinkers in order to analyze its dimensions and the pivotal nature that revolves in the orbit of information technology that occurred through the digital industrial revolution. A space of thought of Western civilization, originally linked to the concepts of equality، participation, and respect for the system of rights and freedoms organized in the duties and practice of true democracy، has emerged, all of which constitute intellectual tributaries in support of digital citizenship. This concept did not develop in terms of intellectual theorization and practical practice until after the emergence of rational political thought and the ensuing renaissance-developmental movements whose main pillar is the human being first and foremost, Between this and that, the features of the continuity of intellectual activity began to enable a global citizenship that transcends ideas and cultures.
Perbedaan Prestasi Belajar Siswa Melalui Pembelajaran Daring Menggunakan Aplikasi Whatsapp Group dan Google Classroom

This study aims to determine the difference in learning achievement of class VIII students of SMP Negeri 4 Mataram through online learning using the WhatsApp Group and Google Classroom applications for the 2020/2021 academic year. This research is an experimental study with a posttest-only non-equivalent group design used . Determination of the sample using probability sampling technique with the sample being class VIII 2 students receiving online learning using the WhatsApp Group application as an experimental class 1 and class VIII 3 students receiving online learning using the Google Classroom application as an experimental class 2. The instrument used in this study was an instrument The test is in the form of a post-test on the Pythagorean theorem and constructing flat-sided spaces. Data analysis was used using t-test. The results showed that there was no difference in learning achievement between students who received online learning using the Whatsapp Group and Google Classroom applications.
Lingering effects associated with the consumer use of virtual reality

Since the release of the Oculus Rift CV1 in 2016, millions of VR headsets have made their way into consumers’ homes. Since then, users have created large quantities of data about their experiences in VR through posts made to online discussion forums. We examine this data to gain insights on what sorts of “lingering effects” users report having experienced after VR, and on the progression of these effects over time. We found three major categories of lingering effects (besides simulator sickness) during our qualitative analysis: perceptual effects, behavioral effects, and changes in dreams. The perceptual and behavioral categories were further divided into sub-themes: disruption of body ownership and proprioception, loss of a sense of depth in the real world, visual aftereffects, the need to verify the reality of the real world through touch, hesitation when moving in the real world, and attempts to apply VR interaction metaphors to real life interactions. Users were nearly unanimous that these lingering effects only occurred after spending at least 1 h in VR, and that these effects completely disappeared several weeks after they first appeared (assuming the user continued to spend time in VR). There was less agreement about how long these effects lasted after exiting a specific VR session. The results of our analysis suggest that users feel that there are no long-term side effects to the use of VR. We pair this analysis with an analysis of interviews conducted with 20 novice users who were loaned Oculus Quest HMDs to use for 4 weeks. Semi-structured interviews with participants further substantiated the findings of our analysis of online discussions.
A model for incorporating suitable methods of usability evaluation into agile software development

The challenge to incorporate usability evaluation values and practices into agile development process is not only persisting but also systemic. Notable contributions of researchers have attempted to isolate and close the gaps between both fields, with the aim of developing usable software. Due to the current absence of a reference model that specifies where and how usability activities need to be considered in the agile development process. This paper proposes a model for identifying appropriate usability evaluation methods alongside the agile development process. By using this model, the development team can apply usability evaluations at the right time at the right place to get the necessary feedback from the end-user. Verification of the proposed model was conducted using the focus group method by experts from industry domain.