Reviewerly/exHarmony huggingface dataset:
Potensi Artificial Intelligence dalam Dunia Kreativitas Desain

The shift in cultural practices towards digital usage has led companies and product brands to become increasingly adept at utilizing social media for promotion and branding. Creating social media content requires creativity, interactivity, attractiveness, and speed, driving a growing demand for design skills. To support the design process, designers rely on various tools, including AI-integrated applications, such as Canva, Figma, Picsart, Adobe Photoshop, Adobe Lightroom, and others. These tools enhance graphic designers' productivity and enable them to edit images, create artworks, and produce creative content for social media. &#x0D; The research explores the usage of AI technology in the field of design and art. It examines several AI applications, including image segmentation, image enhancement, image-to-image translation, face attribute manipulation, creating new artistic expressions, detecting fake paintings, 3D art, and AI influencers. AI has positively impacted the creative design world by enabling artists to explore new artistic expressions, generate more personal and interactive artworks, and streamline the design workflow. AI tools have also facilitated inclusive design, making creative content accessible to diverse audiences. However, there are concerns that AI may replace human artists and create art lacking soul or authenticity. The research aims to provide an overview of the existing studies on AI in design to help designers understand the potential of AI in the creative domain. It also discusses the positive and negative implications of AI's integration into the world of design, emphasizing the need for ethical considerations and the preservation of human artistic contributions.
PENGEMBANGAN MANAJEMEN SEKOLAH BERBASIS SISTEM INFORMASI MANAJEMEN MELALUI APLIKASI MY IRSYADUL IBAD

This study aims to analyze the implementation of an integrated information system in all schools under the Irsyadul Ibad Foundation and the impact of implementing an education management information system on student attitudes covering moral and social attitudes. This study was conducted by 6 educational units of the Irsyadul Ibad Foundation, Kab. Pandeglang Banten Province. This study uses qualitative methods with observation techniques, interviews and document studies. The results of this study illustrate that the application of the my Irsyadul Ibad education information system can assist educational institutions in assisting student learning activities, relationships with parents, tidying up the management and financial system of school units and foundations. By using this information system application, students' learning activities can be controlled by parents and their progress can be recorded in real time. The existence of this information system also makes it easier for parents to meet their financial obligations to the institution. The application of this management and administrative information system makes it easy for teachers to identify attitudes and develop students' attitudes.
TEACHING ENGLISH READING MATERIALS THROUGH TEAM-BASED-PROJECT IN SMPN 4 BISSAPPU

This study aims to improve students' reading ability related to understanding main ideas and supporting ideas. This research is quantitative research. The subjects of this study were students of class VIII.. In analyzing the data, researchers used data reduction, data presentation, and data verification. This research is a pre-experimental design research using pre-test and post-test. The population in this study were students of class VIII SMP Negeri 4 Bissappu and for sampling the researchers used random sampling. The research sample was 25 students.The results of the data show that there is a difference between the students' pre-test and post-test. The main score of the students before being given treatment was 52.5 and increased to 80.36 after applying the Team-Based-Project. In addition, from the t-test analysis, the t-test value is greater than the t-table, the students' total vocabulary mastery (8.34&gt;1.714).
Progress in International Reading Literacy Study-Based Reading Competency Assessment Instrument with Culturally Educative Texts for Primary School Students

The objectives of this research and development are (1) to produce a product prototype of the PIRLS equivalent reading literacy competency assessment instrument with educative cultural content text for grade 6 elementary school students, (2) to test the PIRLS equivalent reading literacy competency assessment instrument with educative cultural content text for grade 6 elementary school students from the aspects of content validity, construct validity, Esay question reliability test, Objective question reliability test, difficulty level, and differentiability. This type of research and development uses the Borg &amp; Gall model which consists of 10 stages. The data collected is qualitative and quantitative data. The data is related to content validity, construct validity, readability, and practicality of the assessment instrument as well as the practicality of the user manual. The collected data were analyzed with content validity (Gregory), Product Moment, and Cronbach's Alpha. Based on the results of the analysis and discussion, the results of the correlation person analysis for the overall r value of 30 items &gt; r table for subject 28 the r table value is 0.361 with the acquisition of the smallest value of 0.383 and the largest of 0.724. In addition to the results of the limited subject test, the results of the analysis of the broad subject test using SPSS for windows version 26 software also showed the results that the person correlation value for the reading literacy competency assessment instrument from a total of 30 items obtained a calculated r value&gt; r table for subjects 141 people the r table value of 0.361 with the acquisition of the smallest value of 0.439 and the largest value of 0.896. While the acquisition of the teacher response score is 0.882. So, based on these results it can be said that the product of the reading literacy competency assessment instrument equivalent to the Progress in International Reading Literacy Study with educational cultural content text is suitable for direct use for every grade 6 elementary school student.
Exploring the Impact of AI-Powered Chatbots (Chat GPT) on Education: A Qualitative Study on Benefits and Drawbacks

The advancement of technology has driven the implementation of artificial intelligence-based chatbots in various fields, including education. This research investigates the impact of the presence and usage of AI-powered chatbots (Chat GPT) in the field of education, with a focus on potential benefits and drawbacks. The study employs a qualitative approach, gathering data through in-depth interviews and participatory observations in multiple educational institutions. Additionally, responses and perspectives from educators, students, and administrative staff are obtained through structured questionnaires. This research reveals that using AI-powered chatbots in education brings several benefits, such as improving the accessibility of learning materials, providing personalized learning support, and addressing individual challenges in the teaching and learning process. However, on the other hand, there are some drawbacks, including the potential replacement of essential social interactions between teachers and students and concerns regarding privacy issues and ethical use of data. Based on these findings, this study concludes that implementing AI-powered chatbots in education can provide significant benefits but also requires careful consideration of potential negative impacts. Overall, this article provides a profound understanding of how AI-based chatbots can be valuable tools in supporting the teaching and learning process while identifying aspects that need to be considered to optimize benefits and minimize risks in their usage.
Assessing Customer Satisfaction in AI-Powered Services: An Empirical Study with SmartPLS

In the contemporary business landscape, the evaluation of customer satisfaction plays a pivotal role in assessing the effectiveness of AI-powered services. This empirical study, bolstered by the robust analytical tool, SmartPLS, systematically scrutinizes the intricate relationship between AI-powered services and customer satisfaction. With a rigorous and methodical service quality analysis, conducted with a sample of 189 respondents, we unveil the salient attributes and determinants that underpin customer satisfaction within the framework of AI-driven services. This research contributes substantially to a more profound comprehension of how organizations can strategically enhance customer satisfaction via the adept deployment of AI technologies. The ensuing findings, derived from the comprehensive analysis of 189 respondents, provide invaluable insights into the optimization of service quality within AI-powered ecosystems. These insights hold the potential to cultivate heightened levels of customer satisfaction and engender enduring loyalty, which is of paramount importance in the contemporary business landscape.
Application of RESTful Method with JWT Security and Haversine Algorithm on Web Service-Based Teacher Attendance System

A teacher attendance system utilizing fingerprints has been implemented at Ponpes Daarul Muttaqien II. However, fingerprint recognition errors frequently occur if the scanner is unclean. Teachers fill out an attendance update form for various reasons, including forgotten attendance, damaged fingerprints, and unnoticed absences. The Human Resources Bureau receives updates from around 28 instructors within one week. Statistics reveal that 30% of instructors update due to finger injuries preventing recognition, and 70% due to forgetting. Amid the COVID-19 pandemic, organizations advise remote work. Similarly, only specific sections, like technical and security units, require attendance at Ponpes Daarul Muttaqien II. Due to the potential risks of linking fingerprints to virus transmission, this study proposes a web-based attendance system. It employs the RESTful API approach, JWT Security, and the Haversine Formula Algorithm. The system mandates employees to be within 100 meters of a designated coordinate point for attendance. The system tracks attendance status, arrival and delay times, and absence status. Future enhancements might involve facial recognition for more robust validation. In conclusion, this innovative approach addresses attendance challenges, offering adaptability, security, and potential fraud prevention.
For a CPS-IoT Enabled Healthcare Ecosystem Consider Cognitive Cybersecurity

Cyber-Physical Systems (CPS)-Internet of Things (IoT) enable healthcare services and infrastructure to enhance human lives, but they are vulnerable to various emerging cyber attacks. Cybersecurity specialists struggle to keep up with increasingly sophisticated attack methods. An urgent requirement exists for inventive cognitive cybersecurity in CPS-IoT enabled healthcare ecosystems. This paper presents a framework for cognitive cybersecurity to simulate human cognitive behavior in anticipating and responding to new and evolving cybersecurity and privacy threats to CPS-IoT and critical infrastructure systems. The framework encompasses the conceptualization and description of a layered architecture that integrates Artificial Intelligence, cognitive methods, and innovative security mechanisms.
COMPARATIVE STUDY OF DISTRIBUTED DENIAL OF SERVICE (DDOS) ATTACK DETECTION IN COMPUTER NETWORKS

Distributed Denial of Service (DDoS) attack is an internet crime that aims to consume server resources so that the server becomes unusable. Suricata, Snort and Wireshark are useful software applications for detecting DDoS attacks. This study aims to compare the performance of the snort, suricata and wireshark applications in detecting Distributed Denial of Service attacks. The comparison parameters used are the total attacks that can be detected and memory usage. The type of attack used in testing is syn flood and ping of death. The research results obtained by Suricata became the most effective application in this study compared to snort and wireshark. Suricata excels in memory usage in the two types of attacks performed with the percentage of memory usage being 0.1891 GB (4.975%) during syn flood attacks and 0.00114 GB (0.03%) during ping of death attacks. Suricata also excels in the percentage of the total number of detected ping of death attacks, namely 86,472%.
Nexus between Knowledge Management and Creative Organizational Climate on Smart Organizations: Case of the Manufacturing Industry

The purpose of this study is to examine the knowledge management and creative organizational climate to assess their impact on smart organization in manufacturing industry. However, a descriptive study was conducted using a mixed method research. Primary purpose data were gathered from 50 food and beverages manufacturing companies based in UAE. The secondary data were based on prior studies, literature, books, journal, and academic publications. This study has examined the empirical view of relationship measurement of each variable. As a result, there are significant relationship among each variable that explains the organizations must adapt and innovate in the quickly shifting business environment of today to remain competitive. Knowledge management plays a crucial role in capturing, organizing, and leveraging knowledge assets within an organization. It facilitates the creation, sharing, and application of knowledge, enabling organizations to make informed decisions and drive innovation. Moreover, fostering a creative organizational climate encourages employees to think critically, explore new ideas, and collaborate effectively. This study also highlights the significance of knowledge management and a creative climate in the development of smart organizations that are agile, adaptive, and capable of embracing emerging technologies and market trends. By effectively managing knowledge and creating an environment that fosters creativity, organizations can enhance their ability to innovate, drive growth, and achieve sustainable success in today's dynamic business environment.
EDUCATION OF THE BEGINNER-ACCOMPANICANT IN THE PIANO CLASS

The article discusses methodological approaches that contribute to the formation of initial accompaniment skills of piano students of a children’s music school. The authors prove the relevance of the problem by referring to the Concept of a Modern Art School and the Regulations on Art Schools, etc. It is clarified that an art (music) school involves the acquisition of special artistic performance competencies by students in the process of active artistic activity. The following is emphasized: a modern music school should be an environment of creative development of the individual. To achieve this goal, it is pedagogically effective to involve students in creative practices from the first days of study. Among them, the creation and performance of musical accompaniment should take an important place. The authors of the article explore the content and structure of the concept of “accompaniment skills”. For this purpose, they analyze the historical aspect of the problem. The content of accompaniment activity is studied through a retrospective analysis. The latter explains the peculiarities of the origin and evolution of this type of musicianship. Since musical skills and abilities grow on the basis of developed musical abilities, it is noted that in this regard, the accompanist shows high musicality, developed musical ear, memory, thinking, imagination, and emotionality. Accompaniment skills include a good command of the piano, the ability to comprehensively grasp the figurative essence and form of a work, and to realize the author’s intent. The accompanist must quickly master the musical text, read fluently from the sheet, differentiate between the main and secondary, etc. The concept of “initial accompaniment skills of a piano student” is generalized around the following parameters: performance, interpretation, improvisation, and sight-reading. In the process of forming the initial accompaniment skills of a piano student, the following stages are envisaged: indicative, reproductive, improvisational, interpretive, elementary creative and creative stages.
PECULIARITIES OF WORKING ON WORKS OF SMALL FORM IN THE PIANO CLASS

This article provides an analysis of pedagogical work on small-form compositions in the process of piano training. The authors focus their research on identifying specific challenges and opportunities that arise during the study of small-form compositions, addressing methodological questions related to working with these compositions, taking into account both technical and expressive aspects of piano playing. In the article, pedagogical strategies for effective teaching and development of pianists in the process of learning small-form compositions are thoroughly examined. Special attention is given to the individual characteristics of each student and methods for stimulating a creative approach to the interpretation and performance of musical pieces. Based on the conducted analysis, the authors offer specific recommendations for the optimal implementation of the mentioned methodological approaches in the educational process. This article can be valuable for professionals in the field of music education, piano instructors, and students of music educational institutions.
FUNCTIONS OF MUSIC AND NOISE IN THEATER SOUND DIRECTION

The proposed article examines the set of sound elements (music, noises) that create in the listener, by means of associations, an idea (in a generalized form) of the reality of the events taking place on the stage, life plausibility, the character of a theatrical character. It was found that music in the reflection of reality can perform two functions: pictorial, which reflects a simpler form of reflection of reality, and has mainly an illustrative character; the second, more important function of theatrical music – expressive, or music as a means of characterization – reflects a specific and most valuable form of creative understanding and transformation of reality. The noise design includes the inclusion of theatrical noises, the cry of animals, various bells, etc. in the stage action. A detailed study of the author’s notes (if there are any) gives the director-producer the opportunity to solve the noise design of the play: the feasibility of using the playwright’s recommendations, introducing noises and sounds according to his own idea. The director’s plan for the musical and noise design of the performance is currently also carried out by a sound engineer. It was determined that the profession of a sound engineer in the theater became relevant with the appearance of sound equipment: microphones, mixing consoles, amplifiers, loudspeakers, multimedia devices, etc. This made it possible to improve and simplify the methods of sound design of the performance. It was clarified that previously a whole brigade of “noisemakers” worked on the noise design in the performance, using bulky devices to create stage noises. Now they are replaced by background libraries. In the past, actors mainly played to the live musical accompaniment of an orchestra, but with the advent of sound engineering equipment, they began to involve a musical soundtrack, and it became possible to introduce into the performance a speech recording made with the help of microphones. The task of sound design has become a more creative and interesting job with unlimited possibilities for experimentation. Today, it can be said with complete confidence that in the modern world, sound engineering is an integral part and a necessary component of the modern cultural space, possessing specific means of artistic expression, which are constantly modified and enriched.
Challenges in the implementation of systems for deep packet inspection by the method of full protocol decoding

This paper presents a summary of experience in developing the deep packet inspection system using full protocol decoding. The paper reviews the challenges encountered during implementation and provides a high-level overview of the solutions to these issues. The challenges can be grouped into two groups. The first group is related to the fundamental tasks which must be addressed when implementing full protocol decoding systems. This includes ensuring correct protocol parsing, which involves identifying and interpreting protocol headers and fields correctly. Moreover, it is necessary to ensure the processing of fragmented packets and the assembly of fragments into the original message. Additionally, the processing and analysis of encrypted traffic is a crucial task that may require the use of specialized algorithms and tools. The second group of problems is related to optimizing the process of full protocol decoding to ensure high-speed traffic processing, as well as supporting new protocols and the ability to add user-defined extensions. While there are open-source systems that address some of the primary issues associated with full protocol decoding, there may be a need for additional effort and specialized solutions to efficiently operate and expand the functionality of such systems. Although implementing deep network traffic analysis tools using full protocol decoding requires the use of advanced hardware and software technologies, the benefits of such analysis are significant. This approach provides a more complete understanding of network traffic patterns and enables more effective detection and prevention of cyber-attacks. It also allows for more accurate monitoring of network performance and the identification of potential bottlenecks or other issues that may impact network efficiency. In this article, we also emphasize the importance of system architecture development and implementation to ensure the successful deployment of deep network traffic analysis tools using full protocol decoding. At last, we conducted an experiment where several advanced optimizations were implemented in the system that had already solved primary issues. These optimizations related to working with memory, based on the features of the traffic processing scheme. By results, we evaluated significant performance improvement in solving secondary tasks, described in this work.
Evaluation of Similarity of Javadoc Comments

Code comments are an essential part of software documentation. Many software projects suffer the problem of low-quality comments that are often produced by copy-paste. In case of similar methods, classes, etc. copy-pasted comments with minor modifications are justified. However, in many cases this approach leads to degraded documentation quality and, subsequently, to problematic maintenance and development of the project. In this study, we address the problem of near-duplicate code comments detection, which can potentially improve software documentation. We have conducted a thorough evaluation of traditional string similarity metrics and modern machine learning methods. In our experiment, we use a collection of Javadoc comments from four industrial open-source Java projects. We have found out that LCS (Longest Common Subsequence) is the best similarity algorithm taking into account both quality (Precision 94%, Recall 74%) and performance.