Reviewerly/exHarmony huggingface dataset:
SECOND LIFE IN ART AND DESIGN FROM STUDENTS’ PERSPECTIVE: A CASE STUDY

This article tried to determine the students' opininons related to the use of Second Life (SL) application in higher education art and design education.In this case study conducted with 17 students selected via typical case sampling, the SL virtual platform was used as a research area.Data collection tools were included document analysis, self-peer-process assessment, focus groups.Research data were analyzed with content analysis.Participants stated that the use of SL application in art and design education provides support for analysis of 3D programs, virtual exhibition opportunities and simple 3D modeling.Internet speed, slowness of computers, technical and build problems were the common difficulties experienced by the participants.Consequently, the participants' application skills, 3D thinking skills, design skills and creativity during the practise of the SL application improved.Despite some technical difficulties in understanding SL, it is thought that SL is a suitable environment for art and design education.Also, due to the Covid-19 pandemic, most of the education activities, are conducted on virtual environments.Therefore, it is thought that SL will contribute to distance education by online learning.
Analisis Fuzzy Sugeno Dalam Menentukan Pemilihan Motor Honda

Motorcycles are two-wheeled vehicles. Honda is one of the best selling motorcycle brands in Indonesia. Honda is a Japanese company that has been very tested in Indonesia. Honda also has many types, because of the many types of Honda motorcycles, a decision support system (DSS) with the fuzzy Sugeno method is needed in overcoming the selection of Honda motorcycles. At the same time to compare previous research that has been done with the Mamdani method in determining the selection of the Honda motorcycle.
Simulation of Sample Determination Quick Count Legislative Elections In Bengkulu City

In this research illustrates the simulation of quick count of sampling for the year 2014 Legislative Election in Bengkulu City, which has a data acquisition result for 589 TPS. The problem in this research is how to know the sample size and the right sampling method for Legislative Election in Bengkulu City on Year 2014. The purpose of this research is to know the sample size and the quick count calculation sampling method that can predict the actual vote result for Legislative Election. The method used in the calculation of fast calculation consists of three methods, simple random sampling, cluster random sampling and multistage random sampling. From the population data of 589 polling stations (TPS) into the population, the sample size was taken as much as 120 TPS or about 20% of the population, based on the results of calculations for sample sizes in a limited population. After the sample was selected, a sample simulation of 100 times for each method and simulation results was tested for compatibility with the chi-squared test. Based on the test results, it can be concluded that for sample size 120 TPS taken by simple random sampling method, cluster random sampling or multistage random sampling can predict the actual vote result in Legislative Election Year 2014 in Bengkulu with margin of error 5%. For efficiency consideration simple random sampling method can be selected.
Appraising Cameroon Students Communicative Competence in English

Despite the adoption of the competency-based approach and the establishment in Cameroon of the teaching of English right from primary schools some twenty years ago, communicating in English is still a difficult task among French-speaking students. The present survey shows that, out of seventy-two students cumulating at least nine years of English studies, only three were able to prove themselves competent in an elementary communication situation that required them to introduce themselves by correctly forming five sentences indicating the following: name, age, date and place of birth, number of years they had been studying English. It seems therefore, that the teaching of communicative English may not have been effective in the Cameron education system whose lack of internal efficiency is also confirmed
Reading Habits of Indonesian English Department Polytechnic Students

This study reported the reading habits of the English Department students of Politeknik Negeri Padang.The survey method was applied in this research.Forty nine students from the second year level were the respondents in this study.The findings revealed that (1) majority of the respondents do not spend much time for reading activity; (2) the respondents mostly read novel than academic reading;(3) more than half of the respondents choose to spend their spare time with internet related activities; (4) they prefer Indonesian reading materials than English.Further, the findings are discussed as well as the implication of it for academic teaching.
Time After Time: Factors Predicting Murder Series' Duration

Predicting Murder Series' Duration 2 (James
Application of Feature Selection for Identification of Cucumber Leaf Diseases (Cucumis sativa L.)

According to data from BPS Kabupaten Jember, the amount of cucumber production fluctuated from 2013 to 2017. Some literature also mentions that one of the causes of the amount of cucumber production is disease attacks on these plants. Most of the cucumber plant diseases found in the leaf area such as downy mildew and powdery mildew which are both caused by fungi (fungal diseases). So far, farmers check cucumber plant diseases manually, so there is a lack of accuracy in determining cucumber plant diseases. To help farmers, a computer vision system that is able to identify cucumber diseases automatically will have an impact on the speed and accuracy of handling cucumber plant diseases. This research used 90 training data consisting of 30 healthy leaf data, 30 powdery mildew leaf data and 30 downy mildew leaf data. while for the test data as many as 30 data consisting of 10 data in each class. To get suitable parameters, a feature selection process is carried out on color features and texture features so that suitable parameters are obtained, namely: red color features, texture features consisting of contrast, Inverse Different Moment (IDM) and correlation. The K-Nearest Neighbor classification method is able to classify diseases on cucumber leaves (Cucumis sativa L.) with a training accuracy of 90% and a test accuracy of 76.67% using a variation of the value of K = 7.
Assessment of Employee Using Simple Multi-Attribute Technique Exploiting Rank (SMARTER) and Behaviorally Anchor Rating Scale (BARS) Method

Lecturers' active role as the spearhead of higher education has an essential role in improving higher education quality and sustainability. Therefore, assessing work behaviour is needed to measure how lecturers participate in achieving the vision and mission, quality improvement, and service guarantee to students and complementary documentation. This condition became the basis of research. They are implementing decision support systems with Simple Multi-Attribute Rating Technique Exploiting Ranges (SMARTER) and Graphic Rating Scale (GRS) to measure a lecturer's behaviour by using multiple criteria. With the SMARTER method and Behaviorally Anchor Rating Scale (BARS). By applying the impermeable BARS method, the work behaviour assessment process results in ease and accuracy that is more in line with the employees' behaviour being assessed. With the SMARTER approach, an assessment of employee work behaviour is produced, with 90% of alternatives used. The results are Good.
Students' perceptions of the use quizizz as an online learning media for biology

During this covid-19 pandemic, Quizizz, as an Android-based educational game application, can be used to encourage students to be active and motivated in distance learning. This study aims to determine students' perceptions of the use of quizizz in motivating the students to study biology during online learning. The study population was all students of class IX MTs As-Saádah. The total number of respondents was 48 students. Data analysis was performed using the quantitative descriptive percentage technique. The research data was obtained by distributing questionnaires using the google form application. The questionnaire showed that 79.2% and 54.2% of students' perceptions regarding using the most preferred and good learning media were Quizizz. 45.8% of students showed interest in taking biology lessons using quizizz. 62.5% and 47.9% of students are motivated and enthusiastic about getting high scores. 89.6% and 66.7% of students agree that quizizz can improve their learning outcomes and concentration. 66.7% of students answered that the level of difficulty of quizizz questions was moderate, and 64.5% of students chose to agree that quizzz provided a new learning experience. The use of quizizz in online biology learning is a media recommendation that is appropriate, interesting and fun for students.
IMPOSITIVE SPEAKING ACTIONS IN THE COLLECTION OF TUNAS KARYA EKO TUNAS SHORT STORIES AND THEIR IMPLICATIONS FOR LEARNING INDONESIAN LANGUAGE IN SMA (A PRAGMATIC STUDY)

AbstractIt is known that language is an interaction tool that plays an important role in life to convey certain goals and objectives. One needs to understand the basic principles of language and understand the ethics of language politeness in order to avoid conflicts in social life. Language is a differentiator between individuals. Talking about the relationship between language and pragmatics which is a principle in language, namely two branches of linguistics that complement each other in use in everyday life. In everyday life, a person communicates with a speech partner, without realizing it contains a speech act. The purpose of this study is to describe the types of speech acts in the collection of short stories by Eko Tunas and to find out the implications of directive speech acts in the collection of short stories by Eko Tunas for learning Indonesian in high school. This research is descriptive qualitative and uses a qualitative approach. This research procedure consists of 3 stages, namely the pre-research stage, the implementation stage, and the completion stage. The data source is the book collection of short stories Tunas by Eko Tunas. Techniques for providing data are basic reading techniques and advanced note-taking techniques. Presentation of data using informal methods. It can be concluded that there are 30 data in 21 types of short stories consisting of directive speech acts requestives (1 data), directive speech act probobitives (0/none), directive speech act question (23 data), directive speech act requirements (2 data), directive speech acts advisories (4 data), directive speech acts permissive (0/none). This research can be implicated in Indonesian language learning in SMA class XI at KD 3.9 and 4.9 which relates to material about analyzing the building blocks of short stories in a collection of short stories and constructing a short story by paying attention to the elements of building short stories.
Formation of the Institute of Distance Learning as a Part of the Ecosystem of Modern Education

The modern model of education involves the use of digital educational technologies, including network ones.The emergence of such technologies caused the rapid development of distance learning and served as a prerequisite for its separation into a special type of modern education.The modernization of education, due to the introduction of distance learning into the educational process, has not yet yielded the expected results.The article examines the process of forming the institutionalization of distance education.The analysis of this process carried out by the authors of the article is important from the point of view of understanding the formation of this area of modern education, which occurs to some extent spontaneously, without effective management by state bodies.Sociological studies show that there are only some positive shifts in the field of creating conditions for the educational process, and practically nothing has changed in the process itself and in its results.In this case, the question of improving distance learning and management of this important area of modern education is natural.The authors believe that management problems can be identified by considering the subject-subject relations of the participants in the educational process.In this regard, surveys were conducted of administrators, trainers, and students from 46 educational organizations of the Russian Federation to determine the problems of distance learning.The surveys revealed two types of problems (organizational and methodological) that hinder effective distance learning.In the future, the results of this study are supposed to be used to solve theoretical and methodological problems and develop methods for the implementation of distance learning, considering Russian specifics, as well as to form a strategy of state educational policy in this area.
New Normal Destination Development in the Tourism Industry

The tourism sector is significantly and directly affected economically, due to the Covid-19 pandemic.This is a serious problem that requires immediate treatment.It is feared that the tourism industry will weaken further, as it is one of the foreign exchange earners with a large enough influence.The development of the tourism sector with the parameters of the current needs of the tourism society is, namely 4A, Amenity, Attractions, Accessibility, and Ancillary.The concept of the new normal destination to become a safe tourist destination during the Covid-19 pandemic was built by simulating a genetic algorithm that imitates the theory of evolution to get a solution that is close to optimal.Parameter 4A is achieved by adding 3M (Wearing masks, washing hands, and maintaining distance), and 3T (Testing, Tracing, and Treatment) as control of the spread of Covid-19.The main contribution of this research is to find a solution that is close to optimal with the parameters of the tourism society's needs through simulations of new normal destinations with 3M and 3T constraints to control the spread of Covid-19.
Making Online Exams Through the Whatsapp Auto Application

In the era of covid 19, learning activities are only done using the internet that forces teachers and students to communicate with each other through applications. Whatsapp application is very familiar among children, adults and even parents because the whatsapp application is very easy to understand in its optimization and also very lightly used on android phones. It is very important to provide information for android users today, WhatsApp is one of the chat applications that are quite popular. Although there are many chat apps such as telegram, massenger and others, but WhatsApp is indeed a chat application that is easy to use and has a variety of interesting features. In making an online exam using whatsapp is not using the features in whatsapp but we use a third-party application that is whatsapp auto which is connected to the whatsapp application that we often use to chat daily both in groups and private. To obtain an effective online exam creation process, teachers must download the whatsapp auto application.
PERANCANGAN GURU VIRTUAL MENGGUNAKAN METODE NATURAL LANGUAGE PROCESSING BERBASIS WEB MOBILE

The purpose of this study is to produce a virtual teacher application using combination of natural language processing (NLP) and pattern matching methods to assist students when learning by themselves without being accompanied by a teacher. The author uses the research object in Domenico Savio Junior High School. Author’s research subjects are 7th, 8th and 9th grade students there. The author used natural language processing methods as a solution for application to conduct teaching and learning process with students using Indonesian language. Coupled with the pattern matching method, virtual teachers can classify the types of questions that students ask. This classification aims to solve problems that seem the same but have different solutions. The results of this study is virtual teacher application with facilities of creating material, making questions, and answering questions if that question material is contained in the application database. Domenico Savio junior high school teachers also can add or modify this knowledge
Effects of a visual literacy programme for the improvement of reading comprehension in primary and secondary school students.

With basis on previous research findings, a quasi-experimental longitudinal study was designed to analyse the effects of a visual literacy programme using images to improve reading comprehension. Pre-tests and post-tests were used for the recurring measurement of two homogeneous groups. The participants were 221 primary and secondary students in six schools within Andalusia and Madrid (Spain). The results indicated that visual literacy and, specifically, the reading and interpretation of connotative and symbolic images improve reading comprehension, especially at the global or macro-structural level, as well as literal and inferential reading, the comprehension of comparisons (similes) and metaphors, the ability to synthesize, and creativity. A moderate or large effect size was observed for all these variables. The effectiveness of the programme and the need for the planned, intentional use of images as pedagogical and didactic tools were confirmed.
Gender Differences in Influencer Advertisements on Instagram: A Multimodal Perspective

Congruent with the rapid development of internet users worldwide, social media advertising has been mushrooming on various social network platforms, including Instagram. Among the many forms of advertising that marketers have relied on is influencer advertising, which pertains to hiring popular Instagram influencers to endorse particular products or services on their Instagram accounts. This study explores how these Instagram influencers use both texts and images to convey their advertising messages. Further, the study explores the differences in how male and female influencers construct their endorsement posts. A total of 20 advertisement posts were collected from 10 influencers and were analyzed from the multimodal approach integrated with the concepts of linguistic metafunctions in Systemic Functional Linguistics. Then, the gender differences in texts and images were elaborated. It is shown that interpersonal language dominates the language used in the captions, despite the specific differences in the linguistic items used by men and women. Likewise, in the images, the influencers seem to consistently put the spotlight on themselves rather than on the products to captivate the followers' attention. The findings of this study will eventually contribute to the literature on advertising language and multimodal analysis.
Above and Beyond: Organizational Efforts to Complement U.S. Digital Security Compliance Mandates

Organizations that provide essential services such as electricity, healthcare, and secure financial transactions are required to use digital-security compliance programs to establish a baseline of minimum security.Unfortunately, these compliance programs are known to suffer from a multitude of issues (both in how they are written and in how organizations implement them), resulting in organizations implementing their own security measures to fill actual or perceived compliance gaps.In this study, we survey 40 security professionals from six U.S. essentialservice sectors to gain insight into how organizations complement compliance to fix perceived security gaps, which measures worked particularly well, and how their organizations prioritize and evaluate the measures they adopt.We find that organizations complement compliance programs often, with 37 of 40 participants confirming that their organizations have gone beyond what they perceive as mandated compliance measures to mitigate otherwise unaddressed risks.While participants were generally positive about these perceived complementary measures, they also reported challenges related to poor management, information saturation, and difficulty keeping complementary measures up-to-date and relevant.Based on these results, we recommend that compliance standards directly integrate guidance for carefully managing and auditing any perceived complementary measures that an organization chooses to implement and that organizations carefully plan end-to-end deployment and operation before implementing these measures.
Steering Behavior-based Multiple RUAV Obstacle Avoidance Control

In recent years, the applications of rotorcraft-based unmanned aerial vehicles (RUAV) have increased rapidly.In particular, the integration of bioinspired techniques to enhance intelligence in coordinating multiple Rotorcraftbased Unmanned Aerial Vehicles (RUAVs) has been a focus of recent research and development.Due to the limitation in intelligence, these RUAVs are restricted in flying low altitude with high maneuverability.To make it possible, the RUAVs must have the ability to avoid both static and dynamic obstacles while operating at low altitudes.Therefore, developing a state-of-the-art intelligent control algorithm is necessary to avoid low altitude obstacles and coordinate without collision while executing the desired task.This paper proposes an Artificial Intelligence (AI) based steering behavior algorithm that generates a smooth trajectory by avoiding static and dynamic obstacles.The proposed method uses an obstacle detection algorithm (ODA) and obstacle avoidance algorithm (OAA).An obstacle detection algorithm is used to detect potential threats that fall in the course of flight while reaching the desired target, and obstacle avoidance algorithms use the steering behavior method to generate avoidance trajectory.A PC104 embedded boardbased HIL (Hardware in the Loop) simulation environment is developed to validate the proposed algorithm.The proposed algorithm is evaluated by experimenting with a variety of nontrivial scenarios involving static and dynamic obstacles.
Multimodal Approach for Functional Systemic Linguistic Studies

This study aims to introduce and explain multimodal as an approach that should be used in a comprehensive study of functional systemic linguistics. The method used in this study refers to a qualitative descriptive method with a literature study technique, namely exploring various theories related to multimodal and functional systemic linguistics. The information that has been obtained becomes data which is then analyzed and presented descriptively. The results showed that functional systemic linguistics is a study that considers language as a social semiotic system. Language is a variety of signs that can be verbal or nonverbal. The forms of verbal and nonverbal signs with the meanings contained can be understood thoroughly and intact through a multimodal approach; see the meaning or message in the text on the interrelation of words, phrases, sentences, sounds, music, colors, images, gesturals, and existing spatial.&#x0D; Keywords: functional systemic linguistics, multimodal.
THE SUBJECT OF KNOWLEDGE AND THE TREND OF OBJECTIVITY

Transformations of modern Russian culture and social life include the aspect of “returning to the roots”, which becomes obvious when philosophical understanding of the trend of objectivity in the training of future teachers. The idea of objectivity in conjunction with the idea of “learning-understanding” permeates Russian education throughout the history of its existence, at all its levels from initial literacy and reading in the native language to university training of a highly qualified specialist. At the same time, philosophy at all levels relied on the necessary methodological basis for building the core of objectivity, clarifying both the essence of the subject of study and the process of mastering it.