Reviewerly/exHarmony huggingface dataset:
Enhancing Maharah Kalam: Android-Based Learning Media Development and Efficacy

&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; In the era of advancing technology and globalization, education is significantly influenced by sophisticated technological advancements. This research aims to elucidate the process of developing Android-based learning media utilizing smart app creators and to assess its effectiveness in enhancing maharah kalam. Employing the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) up to the Implementation stage, the study garnered favorable ratings from media experts (76% indicating 'good'), material experts (84% indicating 'very good'), and students (82% indicating 'very good'). Pre-test and post-test results revealed a notable improvement, with mean scores of 77.5000 and 82.6667 respectively, signifying a significant enhancement in students' maharah kalam proficiency. This research highlights the potential of technology-based learning media in optimizing language education outcomes.&#x0D; Highlight:&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; Integration of Advanced Technology: This research addresses the significant impact of sophisticated technology on contemporary education, emphasizing the development of Android-based learning media for language proficiency enhancement.&#x0D; Effective Implementation through ADDIE Model: The study employs the systematic ADDIE model (Analysis, Design, Development, Implementation, Evaluation) to ensure a comprehensive approach in creating and implementing the learning media, up to the Implementation stage.&#x0D; Positive Assessment from Experts and Students: The research results showcase favorable evaluations from both media experts (76% indicating 'good') and material experts (84% indicating 'very good'). Additionally, students' responses indicate a substantial improvement in their maharah kalam proficiency, emphasizing the effectiveness of the technology-based learning approach.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; Keyword: Technology-Based Learning Media, Android Applications, Maharah Kalam Proficiency, ADDIE Model, Language Education Optimization&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Exploring the Impact of Online Games on Learning Motivation in Primary Students: A Strong Negative Correlation

This quantitative correlational study investigates the relationship between online games and learning motivation among fifth-grade students at an elementary school. Employing questionnaires and interviews, the study analyzed data from 27 students using descriptive analysis and the product moment correlation test. The results revealed that online game engagement exhibited a high level (66.67%) within the 61-80% range, while learning motivation demonstrated a medium level (66.67%) within the 41-60% range. Utilizing SPSS version 26, the Pearson correlation value of -0.713 indicated a significant (p &lt; 0.05) strong negative correlation between online games and learning motivation. This suggests that as online game involvement increases, learning motivation tends to decrease in this student population. These findings emphasize the need for educational strategies that balance the use of online games to foster intrinsic motivation and effective learning outcomes.&#x0D; Highlights:&#x0D; &#x0D; &#x0D; Correlation Between Online Games and Learning Motivation: This study examines the connection between online games and learning motivation in fifth-grade students, revealing a strong negative correlation.&#x0D; &#x0D; &#x0D; Data Analysis Techniques: Utilizing questionnaires and interviews, the research employs descriptive analysis and correlation tests to assess the relationship between online game engagement and learning motivation.&#x0D; &#x0D; &#x0D; Implications for Education: The results underscore the importance of balanced educational strategies that leverage online games to enhance intrinsic motivation and optimize learning outcomes in students.&#x0D; &#x0D; &#x0D; Keywords: Online games, learning motivation, elementary school, correlational study, student population.
Enhancing Intensive Listening Skills in Third-Grade Students: The Impact of YouTube Media

&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; This quantitative study aimed to investigate the effect of YouTube media on the intensive listening skills of third-grade students at SDN Cemeng Bakalan 2. A pre-experimental design with a One Group Pretest-Posttest research design was employed, using a saturated sample of 17 class III students. Data was collected through pretest and posttest evaluations of intensive listening skills. The results revealed a significant effect of YouTube media on the students' listening abilities, as demonstrated by the hypothesis test with a significance level of α = 0.05. With a p-value of 0.000 &lt; 0.05, Ho was rejected, and Ha was accepted, indicating that learning using YouTube media resulted in noticeable improvements in the intensive listening skills of third-grade students. These findings hold implications for educators seeking innovative approaches to foster effective listening skills among young learners.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; Highlights: &#x0D; &#x0D; &#x0D; Significant Improvement: The study demonstrates a substantial enhancement in intensive listening skills among third-grade students through the use of YouTube media.&#x0D; &#x0D; &#x0D; Quantitative Research Approach: The research adopts a pre-experimental design method with a One Group Pretest-Posttest to measure the impact of YouTube media on student listening abilities.&#x0D; &#x0D; &#x0D; Innovative Educational Tool: YouTube media emerges as an effective and engaging tool to foster intensive listening skills, providing educators with a valuable resource to enhance learning outcomes.&#x0D; &#x0D; &#x0D; Keywords: Intensive Listening Skills, YouTube Media, Third Grade Students, Pre-Experimental Design, Educational Impact.&#x0D; &#x0D; &#x0D;
Development of Test Management System Quality Assurance in Space Venturo Applications

The development of a Test Management System for Quality Assurance in the Space Venturo application is the focus of this research. In order to optimize performance within the development team, it is crucial to have an application that can effectively manage and facilitate task delegation, scheduling, and collaboration among team members. The existing project management application, Space Venturo, lacks the necessary features to ensure quality assurance processes and the storage of relevant information regarding product testing. Therefore, this study aims to enhance the functionality of Space Venturo by incorporating a Test Management System. This system is intended to simplify.&#x0D; Highlights:&#x0D; &#x0D; Streamlined Task Delegation: Efficiently assign and track testing tasks among team members to ensure a systematic QA process.&#x0D; Enhanced Collaboration: Foster improved communication and coordination within the development team, facilitating knowledge sharing and issue resolution.&#x0D; Comprehensive Information Storage: Create a centralized repository for relevant testing data, ensuring easy access and retrieval of essential product testing information&#x0D; &#x0D; Keywords – test management system, quality assurance, space venturo&#x0D;
INFLUENCE OF CUSTOMER SERVICE DELIVERY ON ORGANIZATIONAL PERFORMANCE AMONG PRIVATE UNIVERSITIES IN KENYA

The study determined the influence customer service delivery on organizational performance of private universities in Kenya. The study was guided by service-profit chain theory. The research used descriptive cross sectional design. The target population was 172 respondents from the targeted private universities in Kenya. Stratified random sampling approach was used to determine the sample of 124 participants. Data was collected using questionnaires. For the determination of reliability, Cronbach alpha was adopted. For the analysis of data, quantitative approaches using Statistical Package for Social Sciences (SPSS version 23.0) was adopted to generate inferential and descriptive statistics results. Upon the analysis of data, data presentation was done by use of frequency tables. The study outcome revealed an existing positive and significant correlation between customer service delivery and organization performance in private universities in Kenya. This proves that, when customer service delivery is enhance, the organization performance in private universities in Kenya also greatly improves. The study therefore recommended that, Universities leadership should start implementing customer service delivery to spearhead positive results. The recommendations were that institutions should enhance customer service delivery to enhance financial performance.&#x0D;
College English Teaching from the Perspective of the Unity Between Man and Nature—Taking College English of BIPT as an Example

The unity between man and nature, as is touched upon in literature, is a classic concept in traditional Chinese philosophy. This paper, starting from the proposal of the concept, after briefing the studies in related fields, elucidates the important role it plays in modern course design, focusing on how to integrate it into the practice of college English teaching, concerning the specific steps of course construction: top-level design, selection of teaching materials, appropriate teaching methods, and improvement of evaluation system, for students to deeply understand the essence of traditional Chinese culture in the process of language learning, for the purpose of cultivating their own cultural confidence to better shoulder the task of inheriting Chinese culture. The teaching practice substantiates the effectiveness of the course reform, making up for the shortcoming of traditional English education and providing a certain reference for the integration of English learning into the education of traditional Chinese culture.
The Effect of Concrete Learning on Ibtidaiyah Madrasah Students' Reading and Writing Skills Improvement

The problem raised in this study is whether there is an effect of concrete learning on improving reading and writing skills in class I MI Muhammadiyah 2 Kedungbanteng. This study aims to analyze how much influence concrete learning has on improving reading and writing skills in Indonesian subjects in class I MI Muhammadiyah 2 Kedungbanteng. To achieve this goal, the researchers used quantitative methods with pretest/posttest test tools and questionnaires. The sample of this study was class I MI Muhammadiyah 2 Kedungbanteng with a total of 24 students. There are several stages that researchers must go through in research, namely interviews with the homeroom teacher to get real problems, formulate hypotheses, collect data, analyze data and draw conclusions. In the sampling technique, the researcher used purposive sampling. Data analysis used a simple linear regression test with the help of SPSS 20 for windows. Based on the test results indicate that there is no effect of concrete learning on improving reading skills and there is an effect of concrete learning on improving writing skills. This can be proven by the results of the analysis of the effect of the significance value obtained from concrete learning with an increase in reading skills of 0.580 &gt; 0.05, with t count -0.563 and t table 2.074 which results in H0 being accepted and Ha rejected, while concrete learning with improving writing skills obtained a significance of 0.677 &lt;0.05 and t count writing -0.423 and t table 2.074 which resulted in Ho being rejected and Ha accepted.
Visual Sentiment Analysis: An Analysis of Emotions in Video and Audio

Natural Language Processing (NLP)-based sentiment analysis examines opinions, feelings, and emotions expressed in emails, social media posts, YouTube videos, reviews, business documents, etc. Sentiment analysis on audio and video is a mostly unexplored area of study, in which the speaker’s sentiments and emotions are gathered from the audio, and feelings are gathered from the video. The goal of visual sentiment analysis is to understand how visuals affect people’s emotions. Despite being a relatively new topic, a wide range of strategies based on diverse data sources and challenges has been developed in recent years, resulting in a substantial body of study. This study examines relevant publications and provides an in-depth analysis. After describing the task and its applications, the subject is broken down into different primary topics. The study also discusses about the general visual sentiment analysis design principles from three perspectives: emotional models, dataset creation, and feature design. The problem is formalized by considering multiple levels of granularity and components that can affect it. To accomplish this, the research study looks at a structured formalization of the task that is often used in performing text analysis and assesses its relevance to perform visual sentiment analysis. The discussion includes new challenges, progress toward sophisticated systems, related practical applications, and a summary of the study’s findings. Experimentation was also conducted on the FER-2013 dataset from Kaggle for facial emotion detection.
Indirect observation of state and transition probabilities

A wide range of systems exhibit stochastic transitions between different states that may be hidden from direct observation. Nevertheless, if the states are coupled to a signal, observation of the signal can provide necessary information to infer the state and switching characteristics. Here we explore a simple hidden Markov model with an observable Poissonian distributed count signal. Determining the parameters of this system from the signal can be difficult in the high-noise regime with non-Bayesian methods. However this system yields a simple Bayesian network description, and variable independencies allow the problem to be formulated in a way that allows tractable inference of the parameters just from the time series. This is an informative demonstration of Bayesian techniques, and in particular the interplay between modelling a system and the process of inference.
INTERACTIVE MULTIMEDIA AS INSTRUCTIONAL MEDIA FOR ELEMENTARY SCHOOL STUDENTS

The purpose of this research id to develop an interactive multimedia as instructional media with Adobe Animate application on computer introduction material. To determine the feasibility of the interactive multimedia requires expert judgment in terms of materials and media as well as students. This is a Research and Development (R&amp;D) which adapted from the ADDIE development model (Analysis, Design, Development, Implementation, and Evaluation), but only carried out until the Implementation. Validation is carried out by material experts, media experts, teachers, and students. Data collection techniques in this development research use a questionnaire. Data obtained from the questionnaire was then analyzed descriptively qualitatively and quantitatively. Based on four assessments which are material expert, media expert, teachers and students’ assessment, the level of feasibility of developed interactive instructional media is valid and worthy of being used as a computer introduction instructional media for Elementary school students. Thus, the use of this media helps connect students with enjoyable learning experience. As a result, a positive consequence of utilizing this interactive instructional media is that teacher must keep their materials up to date.
A Comprehensive Study on Artificial Intelligence-Based Face Recognition Technologies

Face recognition technology is a technique that recognizes and authenticates individuals based on their unique facial features. It has various applications, including security, access control, identity verification, and social media tagging. These systems use algorithms to analyze facial traits and create a facial template for comparison with a database of known faces. Advances in machine learning and computer vision have improved the accuracy of face recognition technology. However, concerns about the privacy and security implications of biometric data collection and storage have arisen. This paper provides an overview of the history, techniques, algorithms, applications, performance evaluation metrics, challenges, and future directions of face recognition technology.
ANALISIS PENERIMAAN SISWA TERHADAP PENGGUNAAN APLIKASI UJIAN ONLINE BERBASIS KOMPUTER MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL

The study aims to determine student acceptance of the Computer Based Test application at SMK Negeri 1 Sitiung. The type of research used is quantitative with the type of survey research. The method used in this research is the Technology Acceptance Model (TAM) method. The data analysis technique used is descriptive analysis and prerequisite test analysis. Based on the partial research results, the perceived ease of use (PEOU) variable obtained from the tcount value of 3.706&gt; 1.677 with a significant value of 0.001 &lt;0.05 means that H0 is rejected Ha is accepted. The perceived usefulness variable (PU) obtained from the tcount value of 1.841 &lt; 1.677 with a significant value of 0.072&gt; 0.05 means that H0 is accepted Ha is rejected. The attitude towards use (ATU) variable obtained from the tcount value of 6.244&gt; 1.677 with a significant value of 0.001 &lt;0.05 means that H0 is rejected Ha is accepted. Based on simultaneous research, the tcount value is 68,100&gt; 2.80 and the sig value. 0.001 &lt;0.05 this means H0 is rejected Ha is accepted. As for the effect of learning outcomes after using the application, previously students were less active in using the internet or computers since the use of the Computer Based Test application for the learning outcomes themselves, students are more active, especially playing an active role in using the internet.
Hybrid Information-Based Sign Language Recognition System

Sign language is generally used by the deaf and mute community of the world for communication. An efficient sign language recognition system can prove to be a breakthrough for the deaf–mute population of the world by assisting them to better communicate with people who don’t understand sign language. The current solutions available for sign language recognition require a lot of computation power or are dependent on some additional hardware to work. Thus, reducing their application in the real world and we aim to bridge this gap. In this paper, we are presenting our approach for developing machine learning models for sign language recognition with low computation requirements while maintaining high accuracy. We are using a combination of hand gesture images and hand skeleton information as model input to classify gestures. For this task, we are training CNN models and linear models to handle gesture image and hand skeleton data and later the results of these models serve as input for final classification layers. The hand skeleton information can also be used to detect and track the hand position in the frame, thus reducing need for additional computation overhead to detect hand in the frame.
SISTEM APLIKASI KEHADIRAN STAFF DESA BERBASIS WEB DENGAN MENGGUNAKAN PHP DAN MYSQL: STUDI DESA BESILAM KECAMATAN PADANG TUALANG

This research aims to design a website-based staff attendance application system using PHP and MySQL. This research was conducted at the Besilam Village Office, Padang Tualang District. This research uses qualitative methods with observational data collection techniques and literature studies. The process of storing attendance data for Besilam village staff still uses manual methods. Data storage like this can lead to insecure data. Therefore, researchers will create a computerized village staff attendance application system that is quite adequate web-based where php as the programming language and mysql xampp as the database. From the problems that have been obtained so that researchers can get a solution to their handling by implementing a web-based application for the presence of Besilam village staff. It can be concluded that the application made by researchers can help the village process staff attendance data quickly and safely
Benefits and Challenges of Metaverse in Education

The COVID-19 pandemic has had a dramatic impact on all areas of social life. In particular, education is considered one of the areas most affected by many schools being forced to close to minimize the spread of the disease. Online teaching on video conferencing platforms is the suitable solution in that situation, such as Microsoft Team, Google Meet, and Zoom. In that context, changing learning methods is of great interest to educational researchers. By using technology, learning has become more exciting and attractive. In addition, both teachers and learners must learn and know how to use new technology on their own. In recent times, the term Metaverse is creating a prominent technology trend with the ability to combine reality–virtual in a 3D environment, with many features suitable for education. Through this research, we use research materials, solutions, and commercial products to explore the capabilities, effectiveness, classification, benefits, and limitations of the Metaverse in education. Based on this work, we can conclude that Metaverse is an effective learning tool because of its ability to visualize documents that are difficult to construct or dangerous in practice, overcome communication inadequacies, and user interaction in distance learning, etc.
Automatic Conversion of Image Design into HTML and CSS

The article offers a method to automatically convert web design into HTML/CSS code, a task typically performed by web application developers. The research's purpose is to save programmers time to iterate the logic from the design. The used approach extracts and recognizes a list of graphic components—structures, types, sections, elements, and their styles, as well as information about their location in the graphic template. The presented solution automatically converts the pre-built web interface into HTML and CSS code using Adobe XD and existing scripts inside him. Several conversion graphics tools are reviewed and the advantages and capabilities of three of the tools are shown in a comparison table. This is how Adobe XD stood out from the other two and was chosen when prototyping the initial design. The proposed solution can help people who are just starting in graphic design and want to learn how to easily transform their ideas into HTML/CSS source code.
Hiring and Thriving in the Remote Work Era

In May 2023, the WHO ended1 the global COVID-19 health emergency. Today, more than 3 years after many U.S. workplaces became remote overnight, the working world is still evolving. While estimates about remote work vary, the Pew Research Center2 reports that many employees have embraced a hybrid schedule (combining on-site and off-site work). About 35% of employees work remotely full time. Not all work can be done remotely, but a flexible work arrangement is a top motivator for job seekers and a crucial factor in retaining employees, as highlighted by the Reimagined Workplace 2023 Survey.3 The March 2023 issue of Science Editor4 discussed the value of remote work and strategies for success. At the Radiological Society of North America (RSNA), we have seen this success in action: approximately 22% of our staff are full-time remote, many of whom were hired remotely and have not yet visited our Oak Brook, IL, headquarters. Virtual hiring and onboarding come with their own set of challenges—and possibilities! This article will share some best practices drawn from our experiences in the RSNA Publications department, where we produce and publish 5 peer-reviewed journals. Use an Applicant Tracking System By definition, remote-friendly work attracts a wider and more diverse talent pool than does local work. At RSNA, most positions we post are not advertised as full-time remote, but many job responsibilities for knowledge workers can be performed remotely. Hiring managers who choose to consider remote employees may have a larger pool of candidates because location is not […]