Reviewerly/exHarmony huggingface dataset:
The Study of Sarcasm in Political Discourse

Sarcasm is a complicated linguistic phenomenon especially in written language because changing the tone of speech makes sarcasm more apparent. Sarcasm often refers to a specific, recognizable individual and it implies criticism. Incongruity is the main characteristic that sarcastic speech contains in addition to opposition and negativity. Everyday interaction usually includes sarcasm, which affects the nature of nearly every exchange. As a result, sarcasm offers a chance for in-depth linguistic research. In this study, the researcher sets the following aims: showing which types of speech acts are used more than other types in the political contexts; shedding a light on the social functions that sarcasm serves in the political texts; and knowing the linguistic mechanisms which are employed in the political texts to reflect sarcasm. Accordingly, some hypotheses are put which are as follows: expressives are used more than other types of speech acts in the political texts; social control is the main function that sarcasm serves in the political texts; and metaphor is used frequently in political texts as a mechanism to reflect sarcasm. The researcher adopts an eclectic model which consists of three theories: Searle and Vanderveken's Speech Acts Theory (1985); Ducharme's Functions of Sarcasm (1994); and Tabacaru's Linguistic Mechanisms of Sarcasm. The analysis of the chosen political texts shows the following conclusions: assertive speech acts are used more than other types of speech acts; humorous aggression is a very common function of sarcasm in the employed political texts; and the most utilized linguistic mechanism to express sarcasm is metaphor.
Analisis sentimen terhadap pelayanan Kesehatan berdasarkan ulasan Google Maps menggunakan BERT

The utilization of technology has developed in various scientific fields, without exception in health. Hospitals, health centers, and clinics are part of the health sector. Thus, it must evolve according to health service standards and patient measures or service user satisfaction that needs to be measured using sentiment analysis. The Media to give opinions to Health service providers is Google Maps. However, the anomaly is that the reviews and the given text are sometimes not correlated. Thus, The utilization of sentiment analysis using the scientific branch of artificial intelligence, namely Natural Language Processing (NLP), is an effective way to infer opinions. The research concluded that the BERT indobenchmark/indobert-base-p1 model has good performance to use of Indonesian text classification with a dataset of 4228 data after preprocessing, which at the beginning of the collection process obtained data as much as 4748 data. Split datasets into 3 data, namely training, validation, and test data, with a ratio of 70:30:30. The experimental results, The researchers found that the model allows the use of the model with other Indonesian texts. The results are 0.85 for accuracy and weighted avg, and macro avg 0.75 on the validation data training process. While the testing data training process is 0.86 for accuracy and weighted avg, the macro avg 0.73. In addition, researchers found that services are the most frequent topic in Health Services. Even though health services have improved, positive sentiment is the highest compared to other sentiment classes.
USER EXPERIENCE USING PRADITA DIGITAL LMS IN BLENDED LEARNING: A CASE STUDY IN PRADITA UNIVERSITY

This research aims to evaluate user experience (UX) in using Pradita Digital Learning Management System (LMS) in Blended Learning process. In the current educational context, the use of LMS and online applications has become common, so it is important to conduct an evaluation to measure the level of satisfaction and effectiveness of using Pradita Digital LMS in the learning process. The method used in this research is A Technique for User eXperience Evaluation in e-Learning (TUXEL) Version 2.0. TUXEL method is a technique that allows researchers to evaluate usability and user experience when using a system. The research results are divided into three aspects, namely general usability, pedagogical usability, and UX. The questionnaire results show that the use of Pradita Digital LMS gets a good and agreeable response from the users in the learning process because the system is more interactive and interesting. Although Pradita Digital LMS still has shortcomings in general usability and pedagogical usability aspects, it has creative and innovative value for users in the learning process. Overall, the result of this research is that Pradita Digital LMS has creative and innovative value, although there are still shortcomings in the aspects of general usability and pedagogical usability. Even so, Pradita Digital LMS is able to provide a good user experience in the learning process. It is hoped that the results of this study can be input for the development of Pradita Digital LMS so that it can continue to be improved in terms of usability and user satisfaction, so that the online learning experience can be even better in the future.
Adaptation of Chatbot Confirmation and Usage Continuance Scale into Turkish

It is noteworthy that there is a gap in the literature on measuring the sustainability of students' experiences with chatbot technology. In this study, based on the framework proposed by Li, Lee, Emokpae, and Yang, (2021) for measuring the sustainability of students' experiences with chatbot technology, we adapted it for the context of this study. The scale has six factors (confirmation, understandability, reliability, responsiveness, assurance/trust, interactivity) and 18 items. The scale has a 7-point Likert scale. First of all, permission to adapt the scale into Turkish was obtained from the responsible author via e-mail. The scale was translated into Turkish by language experts. The translated scale was examined by two experts in the field of computer and instructional technologies. For the validity and reliability study of the scale, data were collected from university students. As a result of the application, construct validity was tested with confirmatory factor analysis. In this context, factor loadings were evaluated. Cronbach's alpha internal consistency coefficients were calculated. Data analysis was carried out using Lisrel 8.7 program. In the context of the results obtained, it can be said that sufficient evidence regarding the validity and reliability of the scale has been reached and a scale has been introduced to the national literature.
An Algorithm for Image encryption based on chaotic maps

In recent years, the use of chaotic maps in encryption has become an attractive research area, due to the advantages of chaotic maps that make it suitable for use in cryptography. In this paper we present a new image encryption algorithm based on dividing the image into four equal elements, where the direction and the key of encryption of each element is different from other ones. Firstly, Arnold s Cat Map is used to permute the positions of the image pixels. Secondly, the permutated image is divided into four equal elements; thirdly, the content of each image element is diffused by performing the XOR bit operation among two image elements sequentially. Finally, the first element of the produced image is diffused by using the Henon Map. Each element is diffused by performing the XOR bit operation with the element that came before it. The decryption operation uses the secret key and the first element permutated to decrypt the encryption image to obtain the original image. The algorithm is validated using security analysis, and the experimental results demonstrate that the algorithm is simple and effective.
K-Medoids Customer Segmentation Algorithm by Utilizing Customer Relationship Management

Sales is an activity that needs to be considered in the company, because the end of production is sales. The more sales that occur, the need for a system that can make it easier to process sales. At this time, motorbikes are one of the profitable sales to market. Central Motor Yamaha is present as a dealer that sells various motorcycle products, with the cheapest and original product claims. Customer segmentation is used at the Lubuk Begalung Yamaha Motor Center to group customers, which are processed from sales transaction data. By utilizing Customer Relationship Management (CRM) provides interaction between dealers and customers to increase sales. CRM comes in the form of a system that makes it easier for customers to make purchases, which has various features in it, of course it makes it very easy for customers to use. One method that can be used in CRM is data mining. With the k-medoids method clustering technique produces priority and ordinary customer clusters. Problems at Sentral Motor Yamaha Lubuk Begalung can be resolved using this method, of course it is useful for the company, namely attracting customers with the various features it contains. By implementing the K-Medoids grouping technique, it is hoped that it will become a customer relationship management strategy with the aim of attracting new customers
The Impact of English Morphological Awareness on Vocabulary Enrichment: A Causal-Affect Relationship Research

Limited vocabulary is one of the most common difficulties faced by EFL learners in Indonesia. Ignorance of English morphological awareness prevents students from expanding lexical words. However, research on morphological consciousness is relatively rare. Therefore, this study aims to examine the impact of morphological awareness on EFL learners’ vocabulary. The study used a causal-effect relationship research design. The population consisted exclusively of students of the English and Management Studies program at Universitas Mahasaraswati Denpasar (N=1360). However, in this study, only 10% of the population (N = 136) was sampled using a systematic random sampling technique. There were two types of instruments: Instrument A was ten successful two-layer multiple-choice morphology tests and Instrument B was vocabulary completion tests. The data were then analyzed using statistical mediation regression and a series of independent-sample t-tests. The results indicated that the participants' perception of the derivation morphology was rated as "poor", which impacted their "poor" achievement. Morphological awareness significantly affected participants' vocabulary, with sig 0.000 &lt; alpha (0.05) and tob (21.601) &gt; tcv (1.667). Furthermore, morphological awareness did not differ by gender (t = 1.221, p = 0.224 &gt; 0.05), but by study duration (t = 4.729, p = 0.000 &lt; 0.05) and academic courses (t = 5.306, with sig 0.000 &lt; 0.05). The results underline that explicit morphological instruction has a positive effect on EFL learners in predicting and promoting vocabulary. Therefore, through linguistic pedagogy, knowledge of English word formation rules has a much stronger and more positive effect on language competence and performance in EFL class than a purely non-linguistic approach.
Enhancing EFL Vietnamese Students’ Communicative Competence through Selected Speaking Strategies

In Vietnamese tertiary education, there is a growing focus on enhancing students' speaking skills through the use of speaking strategies. This study aims to investigate the effectiveness of different types of speaking strategies when employed in authentic settings. A mixed-methods research approach was employed, using a questionnaire and interview to collect data from 90 pre-intermediate undergraduate students at a local university. Random sampling was utilized with the support of SPSS version 20. Ten strategies were carefully designed to meet the requirements of tasks in the pre-, while-, and post-speaking phases, based on previous studies. The results showed that the use of these speaking strategies had a positive impact on EFL students' communicative competence, as evidenced by their scores and feedback. Moreover, teachers were found to be able to vary their speaking strategies according to the specific types of activities, with a particular strategy being implemented in a given class meeting. This research represents one of the first empirical studies investigating the roles of speaking strategies in improving students' communication skills and achieving learning autonomy in the Vietnamese tertiary education context. Furthermore, it is hoped that the findings will make significant contributions to the curriculum development of programs and to Target No.4: Quality Education, as defined by the United Nations, both in Vietnam and globally. Overall, this study highlights the importance of effective speaking strategies in EFL education and provides valuable insights for educators seeking to enhance their students' communicative competence.&#x0D;
Meta-Analisis Dari Dampak Adopsi Ifrs Pada Analyst Forecast Accuracy

IFRS adoption in various countries has prompted research related to the regulatory changes impact. Different regulations can affect financial information quality. Accounting information function to analysts’ financial statements. The accounting information quality affected by the accounting standards adoption affects the analysts' forecasts. Researchers carried out research related to the IFRS adoption impact. However, we need to see the results of studies consistently to draw general conclusions. The purpose is to answer the IFRS adoption impact in general. The consistency of the results of this study can be proven by conducting a meta-analysis. The results of the heterogeneity test with CMA are 0.107 (p-value), meaning sampling error didn't occur and in the calculation of correlation analysis p-value was 0.353, which means IFRS adoption studies on analyst forecast accuracy were homogeneous. The meta-analysis results show that adopting IFRS has no impact on the accuracy of the analyst's forecasting results. Therefore, the implementation of IFRS which mostly changes the stanard is a policy change. &#x0D; Keywords: Analysts Forecast Accuracy, IFRS, Meta-Analysis
Protecting the information privacy of litigants during remote trials before UAE courts

This paper analyzes the increasing trend of courts in various countries towards using technology in litigation. Consequently, it is now reasonable to say that there is an integrated legal regulation of a remote trial. The paper stresses that the remote trial system applied before the UAE courts requires the use of court-specific systems and programs to process the personal data of litigants, defendants, victims, and witnesses as well as the data of the subject matter of the dispute. Therefore, this paper highlights the importance of applying information security rules during remote trials and taking all necessary precautions to protect data privacy from being hacked or compromised. To address this issue, three main points are studied: the first is the requirements for the success of the remote trial system. The second is the protection of the right to information privacy. The third relates to the mechanism for implementing the remote trial system and protecting the right to information privacy.
Sign language voice convertor design using Raspberry pi for impaired individuals

In this study, a method for detecting sign language is created to help people with speech and hearing impairments communicate more effectively with each other and with people who do not know sign language. One of the applications of flexible sensors for the development of interaction/interface devices based on human gestures is the translation of sign language into audio. Resistive flexible sensors can be used in a wide variety of applications due to their light weight, compact form, flexibility, measurement efficiency and low power consumption. The design is outlined in Proteus simulation environment by connecting five flexible sensors, a switch and an LCD display to a Raspberry pi. Each finger gesture combination in the generated system represents a separate character or phrase. In digital electronics, these combinations are digital sets consisting of logic 0 and logic 1. Finger signals corresponding to the characters or sentences to be used in the study are given to the developed system. The sensor output is converted to digital form using Raspberry Pi and after processing the data, audio output is generated using gTTS. For each combination of finger movements made by the user, a character or sentence presented to the system is transferred to the LCD screen. The aim of this study is to help bridge the communication gap between sign language users and non-sign language speakers.
Adaptive Learning for Improving German-Speaking Skills in the Digital Age

Abstract. Language teaching has developed with the support of techniques, media, and learning approaches that complement each other. However, the need to develop linguistic skills never arrest and need to be improved continuously. One of the models developed in the early 21st century is adaptive learning, but this learning tends to be more widely applied outside of language teaching. Therefore, This study aims to find concrete forms of adaptive learning that can be applied in appropriately developing speaking skills in German. A qualitative, descriptive approach is employed in this study, focusing on an inductive inquiry into phenomena and fact-finding on adaptive learning. The learning source employed in the learning is a coursebook called Netzwerk Deutsch als Fremdsprache.To bridge the rigidity of the content and the less flexible learning aspects delivered by the coursebook, we tried to integrate it with the campus internal learning management system Besmart-Moodle. There were 12 students (initials P1-12) who participated in learning and practising speaking-oriented learning. We collected data using video recordings, digital questionnaires and field notes. Afterwards, we analyzed participants' conduct and responses using coding procedures to formulate categories relevant to adaptive learning forms. The results showed that most participants viewed this learning positively, and it supported improving their speaking skills effectively. In addition, for both students and lecturers, this learning model thoroughly impacted the learning process concerning certain linguistic facets and enriched previous research.Keywords: Adaptive learning, German, Speaking Skills, Digital Learning, Besmart
Developing Lahat Local Culture-Based Instructional Narrative Reading Materialsfor Secondary School Students

Abstract. The objective of this study was to develop Lahat local culture-based instructionalnarrative reading materials which are valid, practical, and have potential effect for secondary school students. This study applied development research which was conductedthrough three phases including analysis, design, and evaluation and revision phases. There were five stages of formative evaluation used in the evaluation phase, they are self-evaluation, expert review, one-to-one evaluation, small group evaluation, and field test evaluation. The participants of this study were theninth-grade students of a public junior high school in Lahat Regency, South Sumatera in academic year 2020/2021. The data were obtained using questionnaire and reading comprehension test.In determining the validity and practicality of the developed reading materials, the average score of questionnaires from experts’ judgement (for validity) and questionnaire in one-to-one and small group evaluation (for practically) were used. The results showed that the developed product was valid (average score 3.87) and practical (average score 4.6). The product also had potential effect since the students reached the passing grade score was 70. Keywords: Material Development, Narrative Text, Reading Materials, Lahat-Local-Culture
PENGETAHUAN MAHASISWI FIKES UIN JAKARTA TENTANG DAMPAK KOSMETIK BERBAHAN MERKURI BAGI KESEHATAN KULIT

Facial skin care technology develops along with the development of science and technology. Having clean and bright skin quickly becomes everyone's dream. However, it makes consumers not pay attention to the ingredients contained in the cosmetics used. One of the dangerous chemicals contained in cosmetics, namely mercury. Cosmetics containing mercury can pose a risk to skin health. The impact of mercury on skin health starts from rashes to swollen faces. This study uses a descriptive survey method by collecting data through a questionnaire. The population of this study were students of the Faculty of Health Sciences, UIN Jakarta, who were active. The sample used random sampling as many as 41 people. The results of this study are 34 female students know about the impact of using mercury cosmetics, 8 female students have used mercury cosmetics. Researchers hope this research can provide knowledge for the public, especially female students to be more careful in choosing cosmetics so as to minimize the risk of skin health.
PENGEMBANGAN LEMBAR KERJA SISWA (LKS) BERBASIS HIGHER ORDER THINKING SKILL (HOTS) MATERI SEGITIGA PADA KELAS VII SMP NEGERI SUKARAYA

This study aims to develop student worksheets based on HOTS on the triangular material for class VII in accordance with the 2013 curriculum which is valid and practical. This research is a development research using a 4-D development model which consists of 4 stages, namely: define, design, develop, and desiminate stages. The dessiminate stage was not carried out due to time constraints in the study. Based on the results of research analysis by the three experts, namely: linguists, media experts, and material experts, it shows that the HOTS-based student worksheet on triangle material meets the valid criteria with an average score of 3.33 and for the one to one trial, an average score is obtained. an average of 3.39. While the results of the analysis of the student practicality sheet consisting of 6 students, it was found that the HOTS-based student worksheet on the triangle material met the very practical criteria with an average score of 3.70 and for the practicality test the teacher obtained an average score of 3.76, it means that the HOTS-based student worksheet on the triangle material meets the valid criteria and is very practical.
Recognizing Handwritten Digits

So far you have seen how to apply the techniques of data analysis to pandas dataframes containing numbers and strings. However, data analysis is not limited to numbers and strings, because images and sounds can also be analyzed and classified.
Analisis Kesulitan Belajar Siswa pada Materi Penjumlahan Kelas II di SDN Keboncau IV

This study aims to describe and explain what are the types of student learning difficulties in grades 2 summation material at SDN Keboncau IV, this research uses a qualitative approach and a qualitative description research method. Subjects in this study were grade 2 students, totatling 5 students. Data collection techniques using observation, interviews and tests in the form of essays totaling 5 questions. The addition material test is used to strengthen students’ answers regarding their understanding of the addition material. It can be concluded that the dominant difficulties occur in grade 2 at SDN Keboncau IV, namely difficulties in arithmetic, difficulties in connecting concepts with existing reality, and difficulties in solving addition problems in the form of stories.