Reviewerly/exHarmony huggingface dataset:
PENGEMBANGAN BAHAN AJAR M-PROR TENTANG PERAN PAHLAWAN SUKARNI KARTODIWIRYO UNTUK KELAS XI SMA

Some of the problems encountered by the author are as follows, (1) Lack of student independence in learning; (2) Utilization of technology and learning facilities is sometimes less precise than what students need; (3) Printed teaching materials must be purchased at school cooperatives; (4) At least reading about the character Sukarni Kartodiwirjo. This study aims to develop learning materials, test and determine the response of students' learning independence after operating the M-PROR. This research method uses the ADDIE model with the following stages: (1) needs analysis; (2) design and data collection; (3) product manufacture; (4) product validation and testing; (5) evaluation. The results of validation by media experts obtained a percentage of 90.95%, the results of validation by material experts were 94.47%, the results of validation by teachers were obtained by a percentage of 91.02%, the results of large trials obtained a percentage of 85.34%, and the student's learning independence response obtained a percentage of 83.47%. Based on the validation and trial data, the M-PROR teaching materials can be ascertained as follows: (1) research and product development can be completed properly according to the needs analysis; (2) overall the criteria are very feasible; (3) the level of student learning independence is obtained with very positive criteria. The M-PROR teaching materials were further developed by discussing other figures in the proclamation event in depth.
Sentiment Analysis Of Tweets Using Natural Language Processing

Millions of people use Twitter and other social media sites to share their everyday thoughts in the form of tweets.It is a short and straightforward way of expressing oneself, which is a hallmark of tweeting.As a result, we concentrated on sentiment analysis of Twitter data in our research.Sentiment Analysis is a subset of natural language processing and text data mining.It is feasible to investigate sentiment analysis using Twitter data.performed in a number of different circumstances The technique of finding valuable patterns from textual data is referred to as sentiment analysis.Using particular analysis tools, these valuable patterns include evaluating and categorizing feelings as neutral, positive, or negative.The study's authors look at a range of information processing approaches, including sentiment analysis, Twitter's network structure, event dispersion across the network, and impact identification.There have been several ways described for exploring semantics for sentiment analysis, which can be classified into contextual semantic and conceptual semantic approaches.One of the most important disciplines of natural language processing is sentiment analysis.The technique of finding valuable patterns from textual data is referred to as sentiment analysis.According to this research, sentiment analysis applications will continue to develop in the future, and sentiment analytical approaches will become more standardized across systems and services.Because of the vast amount of data available, Twitter is one of the best virtual environments for tracking and monitoring information.
A Novel Student Performance Evaluation Model Based on Fuzzy Logic for Distance Learning

Distance learning is an education model in which the educator and the student come together independently of time and place and the learning process is continued.Although it has positive aspects in terms of time and space, it has limitations such as weak interaction and poor functioning of evaluation processes.Assessment systems often include multiple-choice or open-ended questions.In other words, the result is evaluated in solving a given problem, and the student's actions can be ignored until the result is reached.In this study, while evaluating student performance, the student's behavior during the semester and the distractor weight coefficient for multiple-choice exams were added, and a performance evaluation was made on the student's incorrect answers.The proposed model was created based on fuzzy logic, and the uncertainties in the evaluation were attempted to be eliminated.
Pengembangan Game Edukasi Berbasis Android sebagai Media Pembelajaran Berorientasi pada Kemampuan Berpikir Kritis

This study aimed to develop a valid and practical learning media in terms of theory and practice. The learning media expected to be effective to improve students critical thinking ability in linear program of two-variable material. This study uses the Research and Development (R and D) method starting from potential and problem discovery, data collection, product design, design validation, design revision, limited trial, product revision, wider trial, product revision and mass production. However, due to time constrains this research was only carried out until a wilder trial stage. The subjectin this research were students of class X AV in SMK N 39 Jakarta. The data analysis in this study is qualitative descriptive analysis. The results showed that the educational game "Petualangan Program Linier" is valid as a learning media. The result showed that the media validation got 83.91%. Then the game is valid to be practical in terms of theory and practical aspects. Based on the results of the feasibility test, theory ascpect in this game got 89.44%. And for the assessment of practical aspects that were assessed based on the satisfaction of student responses, they got 82.61%. The game "Petualangan Program Linier" is effective for practicing students critical thinking ability. This is evidenced by student learning outcomes which were assessed based on indicators of critical thinking ability. The results showed that 78.26% of students were able to achieve the Minimum Completeness Criteria
A Survey on Quantum cryptography versus classical Cryptography

Quantum Cryptography is an approach to securing communications by applying the phenomena of quantum physics. Unlike traditional classical cryptography, which uses mathematical techniques to restrict eavesdroppers, quantum cryptography is focused on the physics of information. The development of quantum cryptography was motivated by the short-comings of classical cryptographic methods, which can be classified as either public-key or secret-key Methods. There are classical solutions to insecure communication all rely on making some or assumption, about the computational power of a cheater, about the number of cheaters, or something of this kind. Based on quantum key distribution, one might hope that a quantum computer might allow us to weaken or remove these assumptions.
Uncovering the ‘Hyper’ Signs Mechanism of the Khong Guan Meme as an Object of Simulacrum Design through a Hypersemiotic Approach

Cyberspace is no longer a stutter for the masses of consumers who are addicted to memes. It is no longer a confusion between what is reality and what is hyperreality for them. Meme is a digital design object that was born from the development of cyber power and has a message content in fulfilling the purpose of communicating, interacting socially through social media or social networks and digital culture. The message is composed of a network of signs that have a mechanism in it to produce meaning. Today, many memes have gone viral among the consumer masses, one of which is the meme Khong Guan biscuit. However, the phenomenon of the ‘hyper’ signs mechanism has not yet been written scientifically by researchers. In fact, the meme Khong Guan has a network of ‘hyper’ signs which from the beginning until now has moved dynamically and has succeeded in stealing the spotlight of the masses of Indonesian consumers. Therefore, hypersemiotics as a theory of ‘hyper’ signs and the results of criticism of conventional semiotics (especially structural semiotics which is closely related to structuralism) can be used as an approach to find out the movement of the ‘hyper’ sign elements in Khong Guan meme which is engaged in finding new codes and generate dynamic meaning.
Saudi Airlines Cabin Crew Performance Appraisal Using Artificial Intelligence - The Adaptive Neuro-Fuzzy Inference System

This paper targets the application of artificial intelligence in improving and developing performance through the reduction of human error and the development of fair judgment in the performance of different activities. It focuses on Adaptive Neural Fuzzy Inference System (ANFIS) for the Saudi Airlines cabin crew. Among the findings of the research was that the training error is that the difference between the training data output value and the output of the fuzzy inference system and that the fuzzy linguistic variables are not clear when applied in the performance evaluation system. The study applied a case study to analyze an adaptive neural inference system and rate it to the impact it could create on the cabin crew. The study concluded that in conducting the performance appraisal of the employees some factors such as work goals, and information on the effectiveness of goals must be considered. Also, the lack of a formal reasoning mechanism supporting the inference and evaluations is a critical challenge in performance appraisal; hence, the application of artificial intelligence in the evaluation of the performance of employees in an organization could significantly impact the employees in working towards a common goal.
STUDENTS’ RESPONSES TOWARDS SELF-SELECTED READING IN EXTENSIVE READING CLASS

Extensive Reading is a method in which the participant engages in the activity by reading more books from a greater variety of genres outside of the classroom to read for pleasure. As a result, pupils may choose the reading content that they are interested in reading. The following were the goals of the research named Students' Responses to Self-Selected Reading in Extensive Reading class, which was conducted: 1) To determine the kinds of reading students choose in Extensive Reading class, and 2) To observe the student's reactions to self-selected Reading in Extensive Reading class, the following research was conducted: By the academic year 2020/2021, the students of the English Education Department at one of Cimahi's colleges were in their third semester, which served as the primary topic of this research. It was decided to utilize a descriptive qualitative approach for this investigation. Document analysis, as well as interviews, were used in the data collection process. The results revealed that students choose various readings for Extensive Reading, including short stories, novels, articles, news, books, biographies, song lyrics, and other kinds of material. Regarding the study second research question, the student's answers to self-selecting for Extensive Reading were consistent, with the following replies: it was easier; the students were happier, and there was no burden in deciding to do it. According to the research findings, the students chose more kinds, and they were pleasant to work with and seemed to enjoy themselves.
THE CHALLENGES AND STRATEGIES IN TEACHING READING: AN INSIGHT INTO TEACHERS’ VOICES

&#x0D; &#x0D; &#x0D; This research aimed at revealing teachers’ challenges in teaching reading and their strategies used to overcome those challenges. To fulfil those aims, the researcher used descriptive qualitive as this research method, and collect the data by spreading questionnaire and conduct semi-structured interview. Ten English teachers were involved as research sample. They were not only given questionnaire deal with the challenges in teaching reading, but also interviewed regarding to the strategies their used to overcome those challenges. From the data gathered, it revealed that the challenges mostly originated from students’ lack of vocabulary mastery and their motivation to actively involved in classroom participation. Regarding to those problems, the teacher then used some strategies including brainstorming and pair works. In fact, however, those strategies could help the teacher in engaging the students in teaching reading.&#x0D; &#x0D; &#x0D;
Deriving Pertinent Knowledge through Sentiment Analysis and Linking with Relevant Documents

Purpose: This study aims to explore pertinent knowledge through the Sentiment Analysis technique and to link with relevant, pin-pointed documents. Design/Methodology/Approach: While information is essential ‘information overload’ is a big problem when we search for specific information. To get rid of psychological stress, mistakes in decision making or disregarding of relevant information, a methodology has been developed which may be suitable for researchers to extract pertinent knowledge from huge amount of research publications in a particular domain (‘climatology’ has been chosen for demonstration) within the shortest possible time. The study presents, how exactly relevant information can be retrieved there through sentiment analysis and through which a preliminary knowledge base can be gained. For this, ‘R’ software has been used to do the desired manipulation on the collected data. The steps involve pre-processing of introductory text, tokenization, polarity detection and analysis of text through sentiment analysis. Findings: It has been found that knowledge derived through sentiment analysis and abstract of the linked documents fairly match with each other, which validates the relevance and importance of the linked documents. Again, the impact factor of the prestigious journal having global coverage, where most of the linked documents were published also shows the importance of the linked documents/papers.
IDEOLOGY IN ADVERTISING DISCOURSE: A MULTIMODAL ANALYSIS APPROACH

The multimodal analysis tries to analyze the practice of semiotic discursive or non-discursive discourse such as language, visual images, materials, and architecture. The tool for analyzing semiotic objects is one of the analytical tools in systemic functional linguistics (SFL). The formulation of the problem in this study is the form of representation of ideas in advertising discourse based on the meaning and function of grammatical semantics. Specifically, the research question is the ideology in advertising discourse in ideational, interpersonal, and textual aspects. This study tries to analyze the multimodal element to explain the choice of linguistics and the object of discourse. This research is descriptive qualitative where takes the inductive paradigm. This research approach is critical multimodal discourse analysis with systemic functional linguistic analysis. The research data is in the form of beauty product advertisements in 2017. The results show that the meaning of beauty product advertisements in terms of physical characteristics is white skin colour, sharp nose, slender body, long hair, and white teeth. The concept of ethnically beautiful identity from the two advertisements is different. The local product advertisements emphasize ethnic captivating identity. Foreign beauty product advertisements representations emphasize fair Caucasian beauty.
AN ANALYSIS OF TEACHER’S QUESTIONING IN READING CLASS

&#x0D; &#x0D; &#x0D; Students of EFL (English Foreign Language) classroom need some tools that facilitate them to develop their reading skills. One of the tools is question. Question belongs to one of the most crucial tools in guiding and extending student’s learning (Gattis, 2002:41, as quoted in Sujariati, Rahman, &amp; Mahmud, 2016). This study is descriptive qualitative research. It investigates about questioning in a reading class in one Islamic Senior High School in Bandung. Specifically, it finds out the teacher’s question types and the students’ opinions towards the questions that asked by the teacher in the reading class. In conclusion, mastering English reading skill can be something difficult for students who learn English as foreign language because they do not use the language in their daily lives. However, a teacher can apply both display and referential questions to students. By applying those question types, the students are encouraged to focus in learning reading material in the class and become familiar with some reading exercises that usually appear in English exam.&#x0D; &#x0D; &#x0D;
Classification of Pneumonia Risk Factor Characteristics in Toddlers Using Classification and Regression Trees (CART) Case Study Regional General Hospital dr. Tengku Mansur Tanjungbalai

Pneumonia is one of the leading causes of death in children in the world. The World Health Organization (WHO) estimates that this disease causes 16% of deaths in children under 5 years of age worldwide. Pneumonia is included in the top 10 diseases that suffer the most every month at the RSUD dr.Tengku Mansyur Tanjungbalai, throughout 2019 there were 73 children under five years with pneumonia and 5 of them were declared dead without hospitalization. This study is useful to find out the results of the classification accuracy of the classification and regression trees (CART) for risk factors for pneumonia in children under five years. CART classification is done by dividing the total data of under-five patients with the ratio of 15% testing data and 85% learning data. The classification accuracy obtained for the prediction data was 50% with the percentage of sensitivity and specificity of 94,12% and 14,29% respectively.
The new generation library: the role of the library as an social institute in the information age

This study focuses on the place and role of the library in the public life of the information space. Attention is paid to the main means of communication and information in the information society, and shows the need to modernize library networks in new information institutions where everyone can find everything they need.&#x0D; The aim is to research and characterize libraries and their importance in the new information space, to outline the development of the library as an institution in the information age and at a time when communication tools of all spheres in Ukraine are provided by Internet resources, not libraries. It also covers the main task of a modern library, which aims not only to teach how to use the library, but also to analyze the book. Explained areas of widespread use of Internet technologies and the creation of electronic libraries, electronic delivery of documents, online catalogs. &#x0D; About remote registration of users, remote ordering of documents and renewal of subscription, access to the electronic form, etc. Extensive use of electronic media, new opportunities for services and information transfer. Creating blogs that are used to inform about cultural, artistic and educational projects, events, etc.; on improving the information culture of users, where they provide answers to bibliographic queries; use multimedia services — to create virtual tours, a range of tasks that can be solved by the library thanks to Internet technologies of various galleries, educational video courses, video lectures, video conferencing, etc. It is explained what is new in the work of libraries and librarians, what is its effect and what is the benefit of it, what are the benefits of social networks when using them in the work of librarians. The article explains that the main task of a modern library is only to provide information services, but also to teach the user to conduct proper information analysis and draw conclusions.
Photonic Reinforcement Learning Based on Optoelectronic Reservoir Computing

Abstract Reinforcement learning has been intensively investigated and developed in artificial intelligence in the absence of training data, such as autonomous driving vehicles, robot control, and internet advertising. However, the computational cost of reinforcement learning with deep neural networks is extremely high, and reducing the learning cost is a challenging issue. We propose a photonic on-line implementation of reinforcement learning using optoelectronic delay-based reservoir computing, both experimentally and numerically. In the proposed scheme, we accelerate reinforcement learning at a rate of several megahertz because there is no required learning process for the internal connection weights in reservoir computing. We perform two benchmark tasks, CartPole-v0 and MountanCar-v0 tasks, to evaluate the proposed scheme. Our results represent the first hardware implementation of reinforcement learning based on photonic reservoir computing and paves the way for fast and efficient reinforcement learning as a novel photonic accelerator.
Practical example on how to plan and develop a participatory group dynamic through an online platform, in the pursuit of Sustainable Development Goal number 4 "Quality Education”

In the current conditions of university teaching, derived from the COVID-19 pandemic, where the need for social distancing has led to the move to online sessions through various technological platforms, one of the most complicated activities to develop are group dynamics. Taking advantage of the teaching content of the university subject "Organizational Behavior and Change Management", a plan has been designed and executed to ensure that, remotely and without face-to-face interaction, students are actively involved and participate in a practical session set out precisely as group dynamic. It is specifically the game of the atomic bunker. The objective is to detect the difficulties that the online environment puts in the way of active and participatory development of the session, and to define a priori the necessary prior actions to overcome these difficulties and achieve the same intended objectives in the case of a face-to-face session. This activity is linked to the implementation of initiatives aimed at achieving Sustainable Development Goal (SDG) number 4, defined as "Quality Education", which is based on the firm conviction that education is one of the engines more powerful and proven to ensure sustainable development. The conclusions show that, despite the fact that the a priori difficulties were great, with a prior planning of communicative actions (sharing information about the principles and objectives of the session) towards the students, asking the students themselves for advice on possible energizing actions of the session, and with sufficient motivation (based on the self-conviction of the students that they themselves have participated in the design of the activity), the activity has been developed successfully and achieving results comparable to those of other courses in which it had been developed in a face-to-face format.
Penerapan Speech Recognition Pada Aplikasi Mobile Kamus Bahasa Sasak

Language is an important part of a country or region in communicating between individuals formally and informally. However, it becomes an obstacle, not all outsiders and native residents of Lombok Island (Sasak Ethnic) understand the dialect of Sasak, Lombok Island, West Nusa Tenggara. In addition, in formal and informal meetings, it is rare to use the Sasak language in communicating. Based on these problems we need a media that helps in interacting in the form of a dictionary. The Sasak Language Dictionary is presented in a mobile-based application by utilizing voice as input which is known as Speech Recognition technology. The application is built using a prototype methodology and programming tools using Embarcadero Delphi 10.32 Programming. and SQLite as database. The result of this study is to build a Sasak Language Dictionary mobile application using Speech Recognition in the form of utilizing voice as input.