Reviewerly/exHarmony huggingface dataset:
Development of Android-based Augmented Reality Learning Media on Atomic Matter

Material and limited chemistry learning media resulted in less than optimal student scores. Necessary to develop learning media that can support studying by utilizing technology. This study aims to determine the quality and develop android based augmented reality learning media on atomic material. The type of research used is development research with the 4-D model (define, design, develop, and disseminate, which is limited to the development stage. The product was validated by one media expert lecturer, one material expert lecturer, and three reviewers (senior high school teachers) and responded to by ten senior high school students. The instrument used was a product quality sheet with a Likert scale and a student response sheet with a Guttman scale. The product's characteristics developed in the form of an application with atomic materials, augmented reality cameras, and student quizzes. The results of the quality assessment by media experts got a percentage of 97.14%, by material experts got a percentage of 83.33%, and the reviewer got a percentage of 95.8% with a very good category. The product was responded to positively by students with a percentage of 99%. Based on these results, android-based augmented reality learning media on atomic material in senior high school can be used as an alternative learning media to increase student interest in learning chemistry
The Impact of Team Conflict, Leadership and Job Demands on Employees Work Stress: Empirical Evidence from Public Organization

According to the Congress of Unions of Employees in the Public and Civil Service of Malaysia (CUEPACS), nearly 500,000 Malaysian civil servants have been identified as experiencing work stress.By investigating the effects of work stress on civil servants in Malaysia's federal agencies, the relationship between leadership (LS), team conflict (TC), and work stress (WS) in the Malaysian public sector was examined and the mediating effect of job demands (JD) was tested.The sample comprised 626 respondents who worked in Putrajaya, Kuala Lumpur.Data were collected through survey method and quantitative analysis were done employing the structural equation modeling (SEM) to analyze direct and indirect effect.According to the findings, there was a significant positive impact of TC on WS, TC on JD, and LS on JD.Contrarily, the impact of LS on WS was not significant.The JD constructs was identified as mediator of the aforementioned relationships.The practical implications suggested that organizations should place greater emphasis on cultivating a learning culture to successfully adapt and respond to novel external challenges.Leaders could reduce WS by being honest and empathetic towards the employees and granting them the flexibility to spend precious time with their loved ones.In addition, supervisors and managers should use more transformational approaches in their interactions with subordinates.Team members could stay in touch for social support.The findings extended previous research and strengthened the antecedents of WS, namely LS, TC, and JD, in public organization.
Pencegahan Penggunaan Narkoba pada Remaja dengan Gerakan Sosialisasi Anti Narkoba di MTsS TPI Desa Tanjung Putus

Drug abuse is currently very worrying, especially among teenagers. Based on data obtained from the National Narcotics Agency entitled Indonesia Drug Reports 2023, in 2022 the number of cases of drug users will be around 4.8 million, and East Java will be the province with the most cases in 2022, followed by North Sumatra in second place. The writer from the PEMA Team of PGMI Study Program, Faculty of Tarbiyah and Teaching Sciences, State Islamic University of North Sumatra carried out an anti-drug outreach activity which was held at MTsS TPI Tanjung Putus on July 20 2023 in an effort to prevent drug use in adolescents in Tanjung Putus Village. The purpose of this activity is for teenagers to understand about drug abuse and the impact of drug use. The expected target in this activity is that teenagers avoid drug use through the implementation of outreach activities by the PEMA Team.
The extent of People-Oriented Organizational Climate and Employees Job Satisfaction affecting Job performance in Private schools in Sharjah

The purpose of this study is to determine whether the school organizational climate effects the satisfaction of the employees in private schools in Sharjah. It also tries to examine if they both contribute significantly to increase the teachers’ work performance. The used data were collected from previous academic published researches, in which the researchers used different methods to analyze their studies such as surveys and questioners which were made in different schools for employees with different ages and genders. It was collected through a questionnaire given to 180 teachers in 4 private schools in Sharjah. The observation of the results showed that there is a direct impact to organizational climate on job performance through the job satisfaction.
Studies Advanced in Artificial intelligence based Game

Thanks to the rapid development of high-performance computing equipment and pattern recognition technology, artificial intelligence technology has gradually matured in recent years and is widely used in many fields. Due to its potentially huge economic value, AI-based game production has attracted a lot of research attention from academia and industry in recent years. AI has progressed from using simple rules to playing a variety of games, and it has proven to be a formidable opponent, defeating human champions in some instances. This paper provides an overview of the algorithms used in different games and highlights the power of AI demonstrated in chess games. However, despite its successes, there are still some problems that exist. This paper concludes by discussing possible solutions to these issues.
Leadership towards Innovation and Organizations Performance: Encouraging Employees Empowerment

The study has been critically focusing on the impact of leadership on innovation management and empowerment of employees in different sectors of the UAE. It has been significantly observed that leadership plays a crucial role in the process of empowerment and innovation which has a positive impact towards reducing the turnover rate as well as the enhancing the overall organizational growth by retaining the talent and developing comparative advantage within the target market. To carry out the study quantitative approach followed by a descriptive research design has been undertaken considering 100 participants. The study findings show that leadership has a strong significant relationship with the other variables such as empowerment and innovations in organizations. As a result, leadership plays a crucial role in driving innovation, empowering employees, and enhancing organizational performance. By fostering a culture of innovation, leaders encourage creative thinking and enable organizations to adapt to an ever-changing business landscape. Moreover, by empowering employees, leaders create a motivated and engaged workforce that contributes to improved performance. Organizations that prioritize effective leadership practices are better positioned to achieve sustainable success in today's competitive marketplace.
Summary of Deep Neural Network Pruning Algorithms

As deep learning has rapidly progressed in the 21st century, artificial neural networks have been continuously enhanced with deeper structures and larger parameter sets to tackle increasingly complex problems. However, this development also brings about the drawbacks of high computational and storage costs, which limit the application of neural networks in some practical scenarios. As a result, in recent years, more researchers have suggested and implemented network pruning techniques to decrease neural networks' computational and storage expenses while retaining the same level of accuracy. This paper reviews the research progress of network pruning techniques and categorizes them into unstructured and structured pruning. Finally, the shortcomings of current pruning techniques and possible future development directions are pointed out.
The Study and Implementation on Adversarial Attack Algorithm Based on Deep Convolutional Generative Adversarial Network

The field of machine learning has been growing rapidly in recent years, with significant advancements in computer vision. However, this progress has also led to increased concerns over the safety and security of machine learning systems. Despite previous research efforts in this area, traditional adversarial algorithms continue to fall short in defending against attacks in most circumstances. As a response to this challenge, this study seeks to develop an adversarial algorithm based on Deep Convolutional Generative Adversarial Network (DCGAN), which aims to reconstruct the data distribution of input data and generate new data to improve model robustness. To evaluate the efficacy of the proposed method, a Deep Neural Network (DNN) classifier is employed to perform classification on the generated dataset. The experimental results suggest the potential feasibility of the proposed hypothesis, but further improvement is required to strengthen the defence mechanism. Overall, this study contributes to the ongoing efforts to enhance machine learning safety and security in practical applications.
GATCF: Graph Attention Collaborative Filtering for Reliable Blockchain Services Selection in BaaS

Blockchain technology is a decentralized ledger that allows the development of applications without the need for a trusted third party. As service-oriented computing continues to evolve, the concept of Blockchain as a Service (BaaS) has emerged, providing a simplified approach to building blockchain-based applications. The growing demand for blockchain services has resulted in numerous options with overlapping functionalities, making it difficult to select the most reliable ones for users. Choosing the best-trusted blockchain peers is a challenging task due to the sparsity of data caused by the multitude of available options. To address the aforementioned issues, we propose a novel collaborative filtering-based matrix completion model called Graph Attention Collaborative Filtering (GATCF), which leverages both graph attention and collaborative filtering techniques to recover the missing values in the data matrix effectively. By incorporating graph attention into the matrix completion process, GATCF can effectively capture the underlying dependencies and interactions between users or peers, and thus mitigate the data sparsity scenarios. We conduct extensive experiments on a large-scale dataset to assess our performance. Results show that our proposed method achieves higher recovery accuracy.
HUBUNGAN KEGIATAN LITERASI DASAR DENGAN MINAT BACA SISWA KELAS V SD NEGERI 53 BANDA ACEH

The purpose of this study was to find out how the relationship between basic literacy activities and reading interest of fifth grade students at SD 53 Banda Aceh. It is known that the reading interest of class V students at SD Negeri 53 Banda Aceh is good. These results can be seen from the questionnaires answered by students. The approach used in this study is a quantitative approach to the type of correlation or correlational research, using questionnaire data collection techniques and documentation, for the subject of 20 students of class V SD 53 Banda Aceh. The results of the study by calculating the reading interest questionnaire of fifth grade students at SD Negeri 53 Banda Aceh were classified as high, students could read well and fluently according to their abilities. Meanwhile, based on the results of the research correlation test, it was found that the correlation coefficient (r) related to literacy activities and students' reading interest was 0.50. This shows that between variable X (basic literacy) and variable Y (reading interest) has a moderate and sufficient correlation. Thus it can be seen that there is a correlation between variables X and Y. X (basic literacy) and variable Y (reading interest). The t-count value &gt; t table or 0.79 &gt; 1.72913 then the alternative hypothesis is accepted. Thus the alternative hypothesis is there is a significant correlation between basic literacy and the interest of fifth grade students at SD Negeri 53 Banda Aceh
URGENSI MEMBANGUN LITERASI PADA ANAK USIA DINI

Literacy is an ability that must exist from an early age. Literacy in early childhood is synonymous with the child's ability to recognize and understand. Literacy also plays an important role in a child's life, besides being useful for being able to communicate children are also expected to be able to solve problems. The method of this research is to use the study library research method which aims to examine more deeply related to early childhood literacy. In obtaining this research data obtained from journals and related articles that can support the answers to the problem formulation in this study. Data analysis techniques were carried out in three stages, namely collecting, processing and concluding. The results of the study show that building literacy in children can be done by reading fairy tales to children, inviting children to read in the park as a form of providing opportunities for children to learn in a new atmosphere, providing a reading platform namely "Cakruk Read Moves", then using the He's Handsome method. namely by the method of communication with fellow friends
Design and Manufacturing a Portable Smart Sole for Measuring the Ground Reaction Force

The systematic study of human locomotion known as gait analysis can be applied in various contexts, including athletics, rehabilitation, and clinical diagnoses. However, the present gait analysis methods have several limitations that make them inappropriate for individual use, such as the fact that they are expensive, non-portable, need a significant amount of time to set up, and require additional time for post-processing. This study aims to investigate and develop a gait analysis system to measure the vertical ground reaction forces. The measurement instrument qualities of being flexible, portable, and comfortable are essential to the design of wearable sensors. The device was calibrated using a universal testing machine (Force plate device). In addition, this study used flexible force sensors for detecting vGRF. The result shows the device works with high efficiency and accuracy in measurement when calculating the values of ground reaction force compared with the values ​​ of reaction force measured by the university testing machines. Keywords: Gait cycle, Ground reaction force, Arduino, Force plate, Smart sole
Learning Strategies Through Babbling Techniques to Improve Language Comprehension Ability in Deaf Children at YPLAB SLB Lembang West Java

Language is a symbol of the referee sound used by members of social groups to work together, communicate, and identify themselves. The main function of language is as a means of communication between humans. With language will facilitate communication between individuals. This is not owned by deaf children. They have difficulty in language skills, especially in abstract understanding. So that deaf children must be given optimal educational services. Based on the language development of deaf children it stops in the groping or babbling phase so that their language experience is very limited. As a result, they have difficulty understanding language and communicating less than optimally. The language in question is the ability of deaf children to understand receptive and expressive language. For this reason, learning strategies are needed to improve language comprehension skills with palpation techniques. The babbling technique is an alternative in this learning because the syllable repetition technique makes deaf children able to think, combine letters into word structures. So that children can understand the word well. This research is based on the barriers of deaf children in understanding language, so a learning strategy is made with the results of field needs analysis. The method used uses research and development (R&amp;D). The results of the field data show that learning strategies using babbling techniques can improve the ability of deaf children to understand language. This can be seen from the increase in the ability of deaf children to recognize syllables, words and being able to understand stories before and after being given learning through the babbling technique. Therefore, through appropriate learning strategies, they can develop their potential comprehensively.
Developing English Material for Analytical Exposition Text on Writing Skill

This research aims to discover students’ needs in English material for analytical exposition text on writing skill as well as develop English material for analytical exposition text on writing skill of the 11th-grade students of the Science program at SMA Negeri 1 Marisa. The study is conducted at SMA Negeri 1 Marisa, focusing on eleventh-grade students in the Science Program. The participants in the study include 34 students and an English teacher from SMA Negeri 1 Marisa. Data is collected through questionnaires, interviews, and document analysis. Data analysis involves several steps. First, the collected data is organized and prepared for analysis. Then, a thorough reading of the data is conducted to understand the students' needs. Coding is applied to categorize and classify the data based on indicators from Hutchinson and Waters (1987) and Nunan (2001) theories. Detailed descriptions and narrative approaches are used to present and explore the data, followed by interpretation to derive meaningful insights. This R&amp;D developed a learning material for analytical exposition text writing using the ADDIE model. It involved analyzing the English textbook, syllabus, and student needs. The material was designed based on students' expectations, with illustrative pictures and skill explanations. Validation by experts, including university lecturers, high school headmasters, and students, confirmed its suitability. The implementation in the classroom received positive feedback, and evaluation showed a significant impact on students and teachers. Overall, the study emphasized the importance of addressing students' writing needs through analytical exposition text material. The topics aligned with core and basic competencies for senior high school English. In conclusion, this study highlights the effectiveness of the ADDIE model in creating suitable learning material for analytical exposition text writing Keywords: analytical exposition, writing skills, R&amp;D, ADDIE
Design Pembelajaran Online Berbasis Authentik Bagi Siswa Sekolah

This study is focused on issues with online learning, such as a lack of authentic activities completed by students, which resulted in poor levels of accomplishment in cognitive and psychomotor components. The goal of the study is to find online learning activities for elementary school pupils that combine an authentic learning approach with real-world activities. Quasy Experiment is a sort of quantitative research involving a pretest and posttest research design. A total of 14 elementary school pupils were included in the investigation. In this study, the tool is a test sheet. To find an independent sample test, the data is processed using the SPSS application. The results demonstrated that utilizing online learning designs with realistic and real-world activities resulted in an increase in learning activities and outcomes. Learning with an online learning design that incorporates authentic and real-world activities differs greatly from traditional learning. Based on these circumstances, it is advised that teachers use a variety of realistic activities in online learning to develop elementary school students' knowledge and skills
The Students’ Ability in Identifying Generic Structure of Recount Text

This research aimed to analyze the ability and difficulty of students inidentifying the generic structure of the recount text. There were some students who had difficulties about the recount text. They did not know the structure of recount text. This research was conducted at SMKN 5 Padang in the 2021/2022 school year. This research used descriptive research. The population of this research were25 students of class XTPM 3 SMKN 5 Padang. The instrumentation of the research was reading test. The results showed that students' reading abilities in the recount text at TPM 3 SMK 5 Padang class could be categorized as good. Based on the data, there were 3 students got excellent (12%), while there were 4 students got very good(16%), then there were 7 students got good (28%), then there were 5 students got sufficient (20%), and last there were 6 students got poor (24%). Based on the research analysis, it can be concluded that students struggled due to lack of vocabulary, and there were some students who did not understand about the text,and had difficulty in determining parts of the generic structure. The researcher suggested to the teacher should give a lot of reading exercises to improve the student's ability in vocabulary and grammar.
Legal Challenges in Digital Media

The rapid growth of internet users in India has ushered in the internet era, transforming the landscape of digital media consumption. This surge in internet users has been accompanied by an alarming increase in legal challenges related to digital media. From online data breaches and copyright issues to privacy threats and data loss, these challenges have become a frequent occurrence in India. This article explores the various legal challenges in digital media and their impact. It highlights the significance of intellectual property rights, including copyrights, trademarks, and patents, in the digital realm. The article also addresses concerns related to hate speech, defamation, privacy invasion, and ways to mitigate the negative impacts of digital media. By understanding and addressing these legal challenges, it becomes possible to navigate the ever-evolving landscape of digital media in India.
Artificial intelligence and human communication: A systematic literature review

The advancement of artificial intelligence has enhanced communication and contributed to the flow of information in recent years. This review attempts to report on the findings of a systematic literature review on artificial intelligence and human communication. The review focused on four databases— Elsevier, Google Scholar, Oxford and Sage. In order to refine the results, inclusion and exclusion criteria were defined with the purpose of eliminating all publications which came across as clearly irrelevant. After applying the protocol and the analysis model, a corpus of 21 papers was obtained between May and June, 2023. The results show that with the increasing availability of monitoring data and the recent advances in computing platforms, artificial intelligence has become a tool for network operators to automate communication. In addition, artificial intelligence-based technologies such as machine learning, human machine communication and computer mediated communication have demonstrated superhuman capabilities in solving some real world problems.