Reviewerly/exHarmony huggingface dataset:
Development of Flashcard Media to Teach Students' Vocabulary Mastery in Reading Skill at Tahfidzul Qur'an Islamic Boarding School Annur Alhidayah

This study aims to develop Flashcard learning media in learning English vocabulary mastery at the Tahfidzul Qur'an Annur Alhidayah Islamic Boarding School. The research method used is research and development with the ADDIE approach (Analysis, Design, Development, Implementation, and Evaluation). Data were collected through observation, interviews, and questionnaires. Data analysis is carried out using qualitative data analysis and quantitative data analysis. The result of this study is a revised Flashcard media based on advice from media experts. The revision of the Flashcard media includes the addition of adjectives and verbs as new forms and types of words. Product trials were carried out in English course classes at the Tahfidzul Qur'an Annur Alhidayah Islamic Boarding School. The results of the trial showed that the use of Flashcard media can improve students' vocabulary mastery. The study also compared with previous studies that used vocabulary learning strategies without expert assistance. In conclusion, the development of this Flashcard media can be an effective alternative in learning English vocabulary mastery at the Tahfidzul Qur'an Annur Alhidayah Islamic Boarding School.
Developing Scrabble Game to Teach English Vocabulary for Elementary School

In 2023, the media in the process of learning English is very important. This is evidenced by a needs analysis with 26 students and teachers of English class V . This paper aims to investigate the needs of students and also find out the results of scrabble games on transportation, professions, weather and seasons. This study used the Borg &amp; Gall Research and Development (R&amp;D) model. It used several steps including Research &amp; Information Gathering, Develop the initial form of the product, Revise the product, Product testing, Final product revision. The research subjects were 26 fifth grade students at SDN Gading Kasri Malang. This study found that scrabble games are valid in language (92%) and media (97%) and suitable for use as complementary media on transportation, profession, weather and season from the satisfaction questionnaire about this product the percentage is around 14% agree and 84% strongly agree. Finally, this scrabble game is suitable for use as a complement to material on transportation, professions, weather and seasons for fifth grade elementary school students.
Online Corporate Apology Strategies Posted on Twitter in Arabic: A Socio-Pragmatic Study

This study aims to identify the types of moves and politeness strategies used in online corporate apology (OCA) in Arabic, posted on customers’ complaints/negative reviews on Twitter. Additionally, the study compares Arabic with English, Japanese, and Chinese to explore cross-cultural similarities and differences in OCA. Following the growth of social media platforms such as Instagram, Facebook, and Twitter, various studies have focused on identifying the strategies utilized on social media using data from new-age computer-mediated communication. OCA strategies used by companies to restore their image, manage rapport, show accountability, and responsibility have been studied in many languages, but not Arabic. This study collected 271 responses on customer complaints/negative reviews from a company’s account on Twitter and analyzed them using Morrow and Yamanouchi’s (2020) model of rhetorical moves and Spencer-Oatey's (2008) rapport management framework. It revealed 12 OCA moves that were used 1045 times: opening, closing, repair, promising, explanation, expressing reassurance, apology, request, showing appreciation, denying the problem, expressing feelings, and compensation. Closing was the most frequent move, followed by opening and repair. All the previous moves were used in English, Japanese, and Chinese, except promising, expressing reassurance, showing appreciation, expressing feelings, denying problems, and compensation. The findings indicate that the company used 11 moves to enhance rapport and manage customers’ face needs, sociality rights, and interactional goals. Denying the problem was the only move challenging rapport, and was used only 1%. The company seeks to preserve its image to build rapport with customers in OCA.
NON-ENGLISH MAJOR STUDENTS’ FOREIGN LANGUAGE ANXIETY: A STUDY CASE

In learning English students might face some obstacles that made them reluctant to improve their competence. One of the obstacles was the existence of language anxiety that students could experience in learning English. The objective of this research was to find out the descriptions of non-English major students’ foreign language anxiety which consisted of communication apprehension, fear of negative evaluation, test anxiety, and English classroom anxiety. This research used a qualitative research method, in which the writers did a study case at one university in Palembang. The data were analyzed descriptively and presented in tables. In this research, 640 first semester students of Economics and Business Faculty of Muhammadiyah University Palembang in the academic year of 2021/2022 were chosen by using the total population sampling. The data were collected by using Foreign Language Classroom Anxiety Scale (FLCAS) questionnaire. Based on the findings of the research, it showed that students experienced foreign language anxiety, such as communication apprehension, fear of negative evaluation, test anxiety, and English classroom anxiety.
DATA MIGRATION USING ORACLE IN GOVERNMENT AGENCY APPLICATIONS

Data migration is a critical process in government agency applications when transitioning from one system to another, often involving large volumes of data.This paper focuses on data migration using Oracle, a widely used relational database management system, in the context of government agency applications.The objective is to understand the challenges and considerations specific to government agencies during data migration and how Oracle can be leveraged to address these challenges effectively.The study examines various aspects of the data migration process, including data profiling, data cleansing, data transformation, and data loading.Furthermore, it explores the key factors that need to be considered, such as data security, data integrity, and regulatory compliance.By utilizing Oracle's robust features, such as its powerful SQL capabilities, data migration tools, and data replication capabilities, government agencies can ensure a smooth and successful migration of their data from legacy systems to Oracle-based applications.This paper provides insights and recommendations to government agencies on best practices for data migration using Oracle, facilitating a seamless transition and ensuring the accuracy, reliability, and security of their valuable data.
Enhanced heterogeneous graph convolutional networks with dual-level attention for aspect-based sentiment analysis

Abstract Aspect-based sentiment analysis aims to analyze the sentimental tendencies of specific aspect terms in the target sentence. With the continuous development of deep learning technology, graph convolutional networks have been widely applied to sentiment analysis tasks and achieved satisfactory results. However, when constructing graph convolutional networks based on text contents, the model considers the contextual words and their interdependent relationships without distinction. Meanwhile, most models are built separately, without fully employing the information of part of speech and dependency relationships in the text dependency parsing. In response to the above issues, we design a heterogeneous graph neural networks model based on dual node-level and type-level attention mechanisms. The heterogeneous information network is embedded into graph convolutional networks for considering the attribute characteristics of different node types. The dual-level attention mechanism can capture both the importance between diverse adjacent nodes and the significance of different node types to the central node. The relationship between aspect terms and sentiment terms is acquired by adjusting the weights of different types of nodes. To address the issue that graph neural networks have difficulty in fully utilizing dependency parsing information, we embedded syntactic and semantic dependency enhancement. By introducing the dependency tree and the dependency parsing into the graph convolutional networks architecture, it can comprehensively model the syntax relationship and analyze the sentence structure, thereby distinguishing the important contextual information. The experimental results on multiple public datasets indicate the effectiveness of the proposed model in aspect-based sentiment analysis.
EFFECTIVENESS OF STORYTELLING TO IMPROVE WITH DESCRIPTIVE TEXT OF STUDENTS’ READING ACHIEVEMENT

Storytelling is the process of someone conveying and receiving a story through various media, such as words, pictures or sound. Therefore, it can be said that storytelling can improve students' reading skills. This study aims to examine whether the story telling learning method is effective in improving students' reading skills. Researchers conducted research at SMP Negeri 3 Palembang Class VII.10 with a total of 31 students. Using pre-test and post-test designs as pre-experimental procedures, data collection techniques used in this study were pre-test and post-test. Then the data was tested with a normality test of 0.00 less than 0.05 (0.00 &lt;0.05). Then all pre and post test data are normally distributed. From the results of the analysis of single paired t-test data, it can be seen that the results of the t-analysis obtained -7,803 df 30 significance value for the control group 0.000 H0 was rejected He was accepted, t was obtained for the experimental group -14.351 df 30 for the experimental group a significance value of 0.000 H0 was rejected Accepted independent t-test with a t-test of 10.015 df 60 and a significance value of 2 with 0.000. It can be concluded that telling stories can increase vocabulary in class VII.10 of SMP Negeri 3 Palembang, and this research shows that students always increase their English vocabulary because vocabulary plays an important role in everyday life.
Determination of the best rule-based analysis results from the comparison of the Fp-Growth, Apriori, and TPQ-Apriori Algorithms for recommendation systems

The popular association rule algorithms are Apriori and fp-growth; both of these algorithms are very familiar among data mining researchers; however, there are some weaknesses found in the association rule algorithm, including long dataset scans in the process of finding the frequency of the item set, using large memory, and the resulting rules being sometimes less than optimal. In this study, the authors made a comparison of the fp-growth, Apriori, and TPQ-Apriori algorithms to analyze the rule results of the three algorithms. TPQ- Apriori is an algorithm developed from the Apriori algorithm. For experiments, the Apriori and fp-growth algorithms use RapidMiner and Weka tools, while the TPQ-apriori algorithm uses self-built application programs. The dataset used is the sales data for the Kopegtel NTB department store, which has been uploaded on the Kaggle site. As for the results of testing the base rules from the overall results of testing the rules with the good Kopegtel dataset for 100%, 50%, and 25% of the total volume of the dataset, a conclusion can be drawn that the larger the dataset to be processed, the results will be more optimal when using the fp-growth algorithm RapidMiner, but not optimal if the dataset to be processed is small. It is different from using the Apriori and Weka FP-growth algorithms, where the resulting rules are less than optimal if the dataset used is large and optimal if the dataset is small. Several rules do not appear in the fp-growth and Apriori Weka algorithms because the two algorithms do not have a tolerance value in Weka's tools for the support of the rules that will be displayed. Meanwhile, the TPQ- Apriori algorithm that has been developed is capable of producing optimal rules for both large datasets and small datasets.
The Dual-Coding Theory and Digital Media: The Effect of Nursery Rhymes on Teaching Vocabulary

Most of the vocabulary in English has differences in written and spoken form, then it also takes time for the learners to recognize and memorize the new vocabularies that they have learned before they implement it in their conversation. The dual-coding theory believes when verbal and non-verbal stimuli are connected, it brings a deeper understanding and better imaging of certain things. The objectives of this study are to find out whether the use of nursery rhymes is significantly effective or not, and how effective the use of nursery rhymes is for vocabulary teaching processes based on the perspective of the dual-coding theory and the aspect of vocabulary knowledge to the elementary students. The participants of this study are 64 of the Year-3 students at MI Ushuluddin Singkawang in 2022/2023 of academic year divided into two groups, control and experimental group. The data were taken from the students’ pretest and posttest results and tools to measure the data were thirty numbers of short answer questions. The findings show nursery rhymes are significantly effective for the vocabulary teaching processes to the elementary students. Nursery rhymes not only run mechanically but also activate the students’ experiences, emotions, and thoughts through the process of repeating, reciting, then practicing related to the aspect of form, meaning, and use in vocabulary knowledge. All of these processes in the classroom bring a better recall for them specifically related to vocabulary learning.
Enhancing Reading Abilities: Exploring the Interrelationships among Speed, Critical, and Creative Reading through Classroom-Based Action Research

When students have good level of speed, critical and creative reading abilities, they will easily understand scientific knowledge and able to understand big volume of reading sources. However, most of teaching reading are dominated with conventional methods emphasizing on reading with question-and-answer. For the reasons, this study explores how do reading skills for speed, critical, and creative interrelate to one another, what specific techniques can be applied to enhance the level of students’ speed, critical, and creative reading abilities, and how were the three readings skills interrelation and connected to Foreign Language Learning theories. The research design was classroom action research with the participants of 35 students from English Literature Study Program. Two types of data: quantitative and qualitative were gained by using test and non-test. They were analysed descriptively by using interactive data analysis consisting of reduction, presentation, and verification. The data showed that students’ speed, critical, and creative reading abilities were still under standard but after the treatments, they made improvement. Their speed, critical and creative reading abilities reached standard scores. There is interrelation among speed, critical, and creative reading abilities. While integrating them in the reading class, students’ level of reading skills enhanced. They could employ speed-reading strategies to quickly comprehend the texts before engaging in critical and creative reading. In critical reading, students could optimize their ability in questioning, problematizing and not passively follow the information given by the authors. Yet, students can read the text by optimizing their imagination in understanding the text information.
The Effectiveness of the Discovery Learning Model on Poetry Writing Ability

The reason for choosing the discovery learning model because it is an active learning model that can help the student’s writing skills. By using this learning model, students can learn to think, analyze, and solve problems. The purpose of the research is to find the effect of the discovery learning model on students’ ability in writing a poetry at Sekolah Menengah Atas (SMA) Negeri 1 Pangkalan Kerinci. This research was experimental research with a form of quasi-experimental design. The sample of this study was two classes, the control class and the experimental class, from Grade X SMA Negeri 1 Pangkalan Kerinci. The number of each class consisted of 32 students. In the experimental class, discovery learning is applied as a treatment, while the control class still uses a conventional learning model. The data analysis used descriptive statistics. The results of the study revealed that learning using the discovery learning model in students’ ability in writing poetry obtains the value of learning completeness at 86.7% which is higher than the conventional learning model. Based on the significant value of Sig (2-tailed) between discovery learning and the ability to write poetry is 0.000 &lt; 0.0. It means that there is a significant effect between discovery learning and student’s ability in writing poetry. From the results of the study, it can be concluded that the writing ability in the poetry of SMAN 1 Pangkalan Kerinci students is high by using discovery learning.
The Role of Parents in Enhancing Children’s English Skills: Evidence from Indonesia

In the globalization era, English has been an international language spoken by people throughout the world. To deal with this, English teaching has been conducted in educational sectors. Besides, parents play a main role in enhancing students’ English skills. The present study aims to elaborate on the role of parents in developing students’ English skills. This study is anchored in a qualitative case study method. The data were collected through semi-structured interviews with five Indonesian mothers aged 34 to 39 years. An interview guide was used as an instrument of the study to assist the authors during the process of the interview including support and roles provided by the parents in enhancing their English learning and some challenges they found. The findings reveal that Indonesian parents particularly mothers have roles in helping the success of their children’s English learning including facilitating children in accessing English learning resources, introducing English through daily interaction, facilitating children with English courses, and accompanying children in learning English at home. However, they also experienced some barriers to doing their roles such as the lack of knowledge in English, lack of English exposure in the community, and the need for being up to date with technological advancement. This study presents an implication that the need for parents to provide simultaneous efforts for enhancing a better linguistic environment at home and the need for collaborations from all aspects including school and society.
Building Students’ Confidence in Speaking English through Differentiated Instruction

Differentiated Instruction is a way of learning where teachers make adjustments in content, process, product, and learning environment to improve students’ learning ability. This research aims to explore how English teachers implement Differentiated Instruction and build students’ confidence in speaking English. This research was a case study. The informants were two English teachers of Sekolah Menengah Pertama Negeri (SMPN) 4 Jember, 31 students of class VIID, and 31 students of class VIIF. The data were collected through observation, interviews, and questionnaires. The data were analyzed using data condensation, data display, and conclusion drawing/verification. The results showed that the English teachers had implemented all elements of Differentiated Instruction to build students’ confidence in speaking English. In the interview, the teachers stated that they used various methods such as presentation, discussion, question and answer, and games to make students confident in speaking English. The interview results were in line with the observation results where during the implementation of Differentiated Instruction, teachers had provided various activities to encourage students to be more confident in speaking English. Based on the questionnaire results, there was an increasement in students’ confidence in speaking English during the implementation of Differentiated Instruction. The finding showed that the confidence of students in classes VIID and VIIF to speak English increased by 6.23% for class VIID and 1.72% for class VIIF. From the results of the study, it can be concluded that Differentiated Instruction can increase students’ confidence in speaking English.
Constraint guided gradient descent: Training with inequality constraints with applications in regression and semantic segmentation

Deep learning is typically performed by learning a neural network solely from data in the form of input–output pairs ignoring available domain knowledge. In this work, the Constraint Guided Gradient Descent (CGGD) framework is proposed that enables the injection of domain knowledge into the training procedure. The domain knowledge is assumed to be described as a conjunction of hard inequality constraints which appears to be a natural choice for several applications. Compared to other neuro-symbolic approaches, the proposed method converges to a point that makes an arbitrarily small error with respect to any inequality constraint on the training data and does not require to first transform the constraints into some ad-hoc term that is added to the learning (optimization) objective. It is empirically shown on four independent and small data sets that CGGD makes training less dependent on the initialization of the network, improves the constraint satisfiability on all data, improves the generalization of the model to unseen data, and relaxes the need for annotated data. Moreover, the method is tested for a regression and a semantic segmentation task.
Research on the Construction and Application of Knowledge Graph in the Ceramic Field Based on Natural Language Processing

There are problems of knowledge deficiency and effective unified expression of knowledge in the process of relevant knowledge data acquired by workers in the ceramic domain. In this study, the authors designed relevant experiments to construct ceramic field knowledge graphs to solve these problems. In the experiments of named entity recognition and relationship recognition, the authors compared the performance of several models in OwnThink and ceramics field datasets. The experimental results showed that the BiLSTM-CRF model is the best for named entity recognition and the TextCNN model is the best for relationship recognition in ceramics field datasets. Therefore, the first used the BiLSTM-CRF model to complete the naming entity recognition and then combined with the TextCNN model to complete the relationship recognition to construct the ceramic field knowledge graph. Then, they applied the constructed graph to the ceramic knowledge Q&amp;A service to provide accurate data retrieval service for ceramic domain workers.