Reviewerly/exHarmony huggingface dataset:
ONLINE LEARNING MEDIA IN HIGHER EDUCATION IN THE NEW NORMAL ERA

This study aims to determine and describe (1) online learning media used in the teaching and learning process in the new normal era, (2) students’ understanding of the use of online learning media, (3) students’ preference of the way of communication, and (4) students’ preference of material form. The participants of this research are the students of English Education Study Program at Universitas Al Washliyah (UNIVA) Labuhanbatu. The instrument of the research is questionnaire distributed via Google Form. Data analysis technique used in this study consists of data colletion, data reduction, data display, and drawing conclusion. The result shows that the most frequently used online learning media are WhatsApp and Google Classroom. Almost all students understand how to operate WhatsApp, Zoom, and Email. As many as 47% students choose two-way semi communication in teaching learning process. Using video as the material form in teaching learning proces is the most preferred by students.
Web Forensic for Hate Speech Case on Facebook Services using National Institute of Standards Technology Method

The development of information technology is increasing rapidly, has brought humans to a point where they cannot separate from the use of the internet in everyday life.The high growth of internet users is the potential for many internet users to use social media.By data compiled from databoks.katadata.co.id which shows the ranking of social media often used in Indonesia 2020, Facebook is in third place after YouTube and WhatsApp.The features offered by Facebook as a social media make many people use it as well as its ease of communication without having to incur costs such as SMS (Short Message Service).The use of Facebook through a web browser itself has often been used by many people and not a few are also used as a medium to commit crimes such as hate speech cases, so it is very important to investigate.The stages used to analyze digital evidence in this study are using the forensic method created by the National Institute of Standards Technology (NIST) which has four stages, namely Collection, Examination, Analysis, and Reporting.The percentage of results obtained from several tools used is the Facebook API 20% only managed to find account information in the form of profile photos, account names, and emails used, FTK Imager 80% successfully found posts along with deleted comments, account information, and login access, while Browser History Viewer 40% was able to find posts in the form of images and account information.From the results of this study, it was found that all the desired information was obtained using the tool, DumpIt + FTK Imager both main evidence and supporting evidence were found in tools, while Browser History Capture + Browser History Viewer only obtained information in the form of posting images, then searching for data using the Facebook API no deleted posts were found, only account information was found, because the use of the Facebook API was restricted to access permissions.By using some of these tools, this research managed to find all the posts that have been deleted.
Attacks on Graphical Password: A Study on Defense Mechanisms and Limitations

User authentication is mostly reliant on password-based based verification. Users generally used text-based passwords, which are user-friendly but often predictable and vulnerable to some common attacks. To overcome these shortcomings, graphical authentication methods have emerged. Here, users choose a sequence of images as passwords. Though such methods help users to better remember their passwords, they too suffer from attacks seen in the case of textual passwords. This paper presents a comprehensive summary of the vulnerabilities state of the art graphical password schemes against the following well-known attacks - Dictionary, Guessing, Brute force, Shoulder surfing, Spyware, and Social engineering. We believe the findings of this study can help researchers design more secure graphical password schemes making them more usable and a realistic replacement for text-based passwords.&#x0D;
Design and Build Chatroom Application as Student Consultation Media Based on Android

To support the government’s program in preventing the spread of COVID-19 virus, it is expected to reduce direct communication between fellow students and lecturers. The purpose of this research to create interactive media that can provide consulting service for students with academic advisor (PA) without direct contact. It is expected for this research, students can be more proactive in interacting with their academic advisor in discussing academic and non-academic problems. The method used in this research is using Android Studio and Visual Studio Code as an Integrated Development Environment (IDE) and using a no-relational (NoSQL) realtime database on firebase. The advantage of this research is that the system to be developed does not use physical servers anymore but all databases are stored in the cloud system. The result of this research is chatroom application consisting of 7 modules namely application login with username and password, searching user, chatting user, list consultation, student input consultation, edit data consultation, and account setting.
SYNCHRONOUS COMPUTER-SUPPORTED COLLABORATIVE WRITING OF THE PROPOSAL DURING THE PANDEMIC

Modern technology has already changed the way we live, but the COVID-19 pandemic has provided us educators with an unprecedented situation in which we are faced with the enormous challenge of teaching online for a long period of time. It is therefore important to analyse various techniques for getting the most out of distance teaching, especially in a synchronous mode. The aim of the study discussed in this article was to analyse students’ attitudes towards collaborative online work undertaken in synchronous mode during the pandemic. Thirty-three first-year BA students studying English Philology participated in this study. Respondents reflected on the process of online, synchronous collaboration via MS Teams by answering an online survey. The results of the study revealed that collaborative learning allows participants to actively participate in an online lesson, interact with others, co-construct a writing task, apply the new language introduced in lessons in a practical task and receive almost instant feedback. Consequently, any sense of isolation the students may feel is reduced and a sense of community is developed. In addition to this, a collaborative task enhances students’ use of academic skills and the development of key competences that can lay the foundation for lifelong learning.
FORMATION OF LITERARY COMPETENCE OF FUTURE TEACHERS IN THE «SCHOOL COURSE OF FOREIGN LITERATURE WITH THE METHODOLOGY OF TEACHING IN HIGH SCHOOL»

The relevance of the problem lies in the fact that in line with the current trends in the development of society, it is necessary to state the fact of a decrease in interest in reading poetic and prose texts, even by those who choose philological specialties for training. Therefore, the question of how to interest a modern philologist student in a work of fiction is not illogical. The main task in solving this problem is to provide an opportunity to realize oneself involved in the creation of a new artistic environment and the opportunity to connect students of educational institutions to it. In this approach, it will be relevant and necessary to identify the types of artistic communication inherent in the work under study. While studying at a higher education institution, the teacher introduces students to the features of the school course of foreign literature in high school, provides a system of knowledge, professional skills and abilities necessary for practical activities in a modern school, forms the creative foundations of the personality of a word teacher. The development of professional and subject competencies will help future teachers develop flexible skills when teaching foreign literature at school. The purpose of the article is to highlight the importance of forming the literary competence of future teachers in the «school course of foreign literature with the methodology of teaching in high school» in educational institutions. As a result of the study, we note that attention should be focused on practical improvement of the learning process for the development of personal professional competence of future teachers of educational institutions. Training that is accompanied by a motivational effect is always effective. It is in the ability to interest High School students in information and communication technologies, differentiated learning, and an individual approach to the perception of both poetic, prose, and dramatic works that young people will read. Methods of research applied: analysis of psychological and pedagogical, professional literature on the research topic; empirical: generalization of pedagogical experience; observation and analysis of lessons taking into account the problem under study. In educational institutions, you can also use the cross-section method or the mass simultaneous survey method; the method of purposeful observation contributes to a detailed study of the course of the pedagogical process, in accordance with the problem and hypothesis set by researchers, the method of natural experiment (close to the method of observations); laboratory experiment, training program.
3D printing, artificially intelligent robots and software inventions, is technology shaking the reign of IP law.

Intellectual property (IP) rights have always had difficulties to cope with disruptive technologies.Development of AI-implemented works and common use of it pushes the boundaries of IP protection.Increase of machines which can independently act or create things have posed a numerous concern of patent system such as how will the inventive step, prior art, inventorship and technical contribution evaluated.Nevertheless, the grey area is how patent holders will protect their rights on products against direct and indirect infringement which can also made by 3D printers.This article analyses that the question of is the current patent regime sufficient to evaluate software-implemented works, 3D printing and Robotics to detect potential infringements and reaches the conclusion that it does not seem to be answered affirmatively based on current regulations.This article argues that some legal regulations should be done to overcome the uncertainty of AI generated works' protection scope.
Expert Validation and Students’ Initial Field Trial Responses toward M-Write Academic Essay Writing Application

&lt;p class="AbstractText"&gt;Proficiency in English academic writing is still a problem for many students. However, there are no such digital learning media that facilitates academic writing practices. Considering these problems, this research tried to develop an M-Write application, a learning media that combine metacognitive and process-genre writing exercises. This study aims to determine the feasibility level of M-Write as a website-based academic essay writing application. The method used in testing the feasibility of this product includes the alpha test and beta test. The alpha test was carried out by three English Education experts; each of them assessed the aspects of the content, language use, and design. While the beta test was carried out by 25 students of the Computer Science Faculty, UPN “Veteran” Jawa Timur. The data collection technique was done by using a questionnaire and interview. Data analysis was carried out using quantitative descriptive techniques. The results of this study indicate that the M-Write application reached appropriate criteria in terms of content, language use, and design aspects. The percentages of each of these aspects are 71.9%, 73.3%, and 71.9%. While the results of the applications usage assessment by students also showed that the application was appropriate to be used with an average percentage of 75.9%.&lt;/p&gt;
KONSERVASI ENERGI LISTRIK PADA BANGUNAN GEDUNG KANTOR BUPATI TOJO UNA-UNA

Electrical energy has a very important role in the economic, industrial and social development of the community, this causes an increase in the demand for electrical energy in line with the increase in people's welfare, economic and industrial growth. On the other side, energy sources that are commonly used for power generation are increasingly expensive and limited in availability and cause environmental pollution. Based on these considerations, it is necessary to implement an energy management program to preserve energy resources and use energy effectively. Energy consumption intensity (ECI) is a term used to determine the amount of electrical energy consumption in a room. The calculation of the intensity of energy consumption carried out at the Tojo Una-una regent's office in Central Sulawesi consists of 3 buildings with 129 rooms, it was found that 7 rooms were categorized as quite efficient and wasteful.
Extraction of Linguistic Speech Patterns of Japanese Fictional Characters using Subword Units

This study extracted and analyzed the linguistic speech patterns that characterize Japanese anime or game characters. Conventional morphological analyzers, such as MeCab, segment words with high performance, but they are unable to segment broken expressions or utterance endings that are not listed in the dictionary, which often appears in lines of anime or game characters. To overcome this challenge, we propose segmenting lines of Japanese anime or game characters using subword units that were proposed mainly for deep learning, and extracting frequently occurring strings to obtain expressions that characterize their utterances. We analyzed the subword units weighted by TF/IDF according to gender, age, and each anime character and show that they are linguistic speech patterns that are specific for each feature. Additionally, a classification experiment shows that the model with subword units outperformed that with the conventional method.
Teachers’ Reflections on Teaching Mathematics in English: A Consideration for Developing ESP Course

This study aims at investigating the difficulties faced by mathematics teachers in delivering learning materials in English, the strategies carried out by the teachers to overcome their problems, and its implication for ESP design. Conducted in a private school in Surakarta, which uses the Cambridge curriculum, this study involved five mathematics teachers. The data were collected by interview to elicit detailed information. Then, the data were analyzed using the interactive analysis method. Based on the study, the teachers faced several difficulties, namely vocabulary mastery, pronunciation, grammar mastery, and speaking fluency. The teachers’ strategies to cope with the difficulties were improving English skills by learning from reference books and other sources, printed or online, and collaborating with peer teachers. They also used an online platform to assist their learning as well as prepare the learning media. It implied that ESP design for mathematics teachers needed to cover four aspects: vocabulary mastery, pronunciation, grammar mastery, and speaking fluency. Several platforms could be utilized to design the ESP course, including the platforms that supported the linguistic aspects and mathematical knowledge.
EXPLORING THE EFFECTIVENESS AND STUDENTS’ PERCEPTIONS OF E-LEARNING IN ENGLISH AS SECOND LANGUAGE (ESL) SPEAKING CLASSES AMIDST COVID-19

The COVID-19 outbreak quickly demonstrates the importance of adopting online education in teaching and learning. It has forced education systems worldwide to find alternatives to face-to-face interactions. Language instructors have made attempts to explore and utilise e-learning tools to enrich their teaching and assist learners in improving their language learning. This paper, therefore, attempts to shed light on the effectiveness of adopting e-learning tools in ESL speaking class and their perception of it. Fifty-three pre-university students from the Foundation Programme of the Preparatory Centre for Science and Technology were involved in this study. Data analysed in this paper were derived from a threaded online discussion via Dotstorming. The structured interview questions were carefully designed based on the objectives to elicit the students’ opinions on the topic of interest. To explore the effectiveness of e-learning in developing the students’ speaking skills, scores of Individual Speaking Assessment and Group Speaking Assessment of each student were collected. These assessments were marked based on the Malaysian University English Test (MUET) Speaking Rubric – Task Fulfilment, Language, and Communicative Ability. The findings show that the adoption of technology in ESL speaking classes improves the students’ speaking abilities. The thematic analysis also shows that the use of e-learning tools in language learning received positive feedbacks from the students, suggesting it would be a promising virtual platform to improve the student's confidence, knowledge, and language.
PENENTUAN JURUSAN PADA PROSES PENERIMAAN MAHASISWA DENGAN PENDEKATAN LOGIKA FUZZY

Choosing a major is not an easy matter. There are many factors that must be taken into account and carefully thought out so that in choosing a major, it will cause big losses. There are many ways to determine the selection of majors, one of which is by using fuzzy logic. Determination of majors is determined from the results of the selection test in the academic field with the subjects of Mathematics, English and Computer Knowledge. With the aim of recommending the selection of the right major according to academic abilities and improving quality. By using the fuzzy inference model Mamdani max-min method. The system simulation was tried using the MATLAB Fuzzy Toolbox software. The system design is carried out in several stages, namely: (1) formation of fuzzy sets, (2) formation of rules, (3) determination of the composition of rules, and (4) confirmation (defuzzification). Defuzzification is carried out using the Composite Moment method, with the types of membership functions used are mf-triangular, mf-trapezoid and mf-gaussian. From the results of the tests carried out, it shows that the mf-triangular and mf-trapezoid membership function types produce almost the same level of accuracy. While the membership function type mf-gaussian produces a high level of accuracy for mathematics by 87.50%, English 100% and computer knowledge 81.58%.&#x0D;
Generic structure of descriptive text written English language learner and teachers

The objective of this research is to describe the appropriateness and inappropriateness of participants in formulating identification in descriptive text. The researcher applies the theory of Gerot and Wignel (1994) from the perspective of systemic functional linguistics. To achieve the aim of this research, the researcher used a descriptive qualitative research design. The participants of this research come from three different groups (students at junior high school, English department students, and English teachers). It was chosen since the whole group is familiar with this kind of genre. Since the pandemic situation, the researcher used WhatsUp as a supporting instrument to collect the data. After analyzing the data (interactive data analysis) through the implementation of the systemic functional linguistics perspective, the researcher got the result. This research shows that 50% of junior high school students categorized appropriately in writing identification, 20% of English department students categorized appropriately, and 60% of English teachers categorized appropriately. Based on the results above, it can be concluded that the participants have a poor ability to write identification. It suggests that the English teachers' training program and English teachers have a better pedagogical plan and knowledge of the genre before teaching descriptive text.
Identification of the Gaps between Actual Performance and Expected Performance of English Teachers at Elementary Level

Teachers hold central figure in the propagation of effective education in educational milieu. The present study attempted to explore the key performance indicators (KPIs) of English teachers working in government schools at elementary level of education. The KPIs were identified and determined by examining the gap between their existing performance and their expected level of proficiency. The study focused its attention to evaluate the gap in English teaching domain only. The data was collected and analyzed quantitatively in this survey oriented descriptive research. A total number of 200 students and 40 teachers were restricted as the sample of the study taken from 04 tehsils of district Bahawalpur. Furthermore, data was collected by developing and administering 02 instruments i.e. questionnaire and classroom observation. The data taken from observation checklist was quantified to obtain empirical results of the investigation. The findings of the study revealed significantly huge gap between the existing and desired level of teachers’ proficiency. This gap was relatively apparent in teachers’ language proficiencies as well as instructional capabilities. Majority of the teachers couldn’t demonstrate the optimal standards of English teaching due to multifaceted factors. Furthermore, study revealed that there is dire need of target oriented instructional workshops and teacher trainings to be arranged for teachers to get the maximum outcomes.
Automatic mapping of traffic signs

Abstract. Nowadays, people easily can get into their cars and drive hundreds of kilometers in a few hours, but for that to work efficiently a system of rules must be applied and those rules have to be communicated transparently. This is why traffic signs are an influential part of our lives and every kind of information about each is helping the government, the community, and the drivers. This paper presents a novel and cost-efficient method for acquiring information on traffic signs, such like the category and the 3D position. The former can be gained using camera images and a Convolutional Neural Network model. The latter can be obtained using positioning devices.With the help of a GNSS device the absolute position of the vehicle can be learned and based on that a local coordinate system can be established. From the vehicle’s point of view the coordinates and the orientation of the traffic sign can be acquired by applying a stereo camera and an IMU (Inertial Measurement Unit) sensor. Then, with the help of these attributes a large database can be built, maintained, and updated. This project displays that adequately precise data can easily be accessible using a few cheap devices and sensors.
Cutting melted butter? Common Ground inconsistencies management in dialogue systems using graph databases

In this work, a spoken dialogue system architecture capable of dealing with Common Ground inconsistencies is proposed.Specifically, attention will be drawn upon the Conflict Search Graph, with insights on its ability to recognise problems and make them explicit via polar questions.Appropriate question forms are, indeed, adopted for the occurring type of common ground conflict, based on previous experiments, which showed that providing automatic dialogue systems with such grounding capabilities can lead to improved usability and naturalness.The described system architecture is, thus, able to detect conflicts and to use argumentation-based pragmatic strategies to signal them consistently with previous observations.