Reviewerly/exHarmony huggingface dataset:
Hybrid Continuous Variational Quantum Neural Networks for Network Intrusion Detection

In order to solve the problem of excessive parameters and slow computing speed of classical neural networks, this paper uses the powerful parallel computing power of quantum computing to improve the computing speed of classical neural network models, and proposes a hybrid continuous variational quantum neural network (HCVQNN) model that can be used for network intrusion detection. The continuous variable layer of the model is realized through Gaussian gate and non-Gaussian gate, in which Gaussian gate performs operations such as quantum state weight addition and offset term setting, and non-Gaussian gate performs nonlinear operations, thereby improving the overall expression ability of the network model. In addition, aiming at the unbalanced problem of UNSW-NB15 in the network intrusion dataset, this paper proposes to design the algorithm from the feature level and the algorithm level, using the ReliefF algorithm for feature selection at the feature level, and oversampling and undersampling processing at the algorithm level by combining the Borderline-SMOTE algorithm and GMM algorithm. The classification experimental results on the UNSW-NB15 network intrusion dataset show that compared with the other two network models, the HCVQNN network model obtains higher classification accuracy and lower loss function value in both binary classification and multi-classification tasks, and the classification accuracy for minority categories is also improved.
Detection and Correction of Repeated Restricted Burst Errors in Sub-Blocks

In this paper, we present bounds on check symbols required for the codes capable to detect as well as correct the restricted bursts errors that are repeating themselves in a single sub-block. For these codes the whole code length is considered to be subdivided into a certain number of mutually exclusive sub-blocks of equal length.
Revolutionizing Manufacturing with Blockchain Technology: Opportunities and Challenges

A decentralised, tamper-proof ledger offered by blockchain technology has the potential to revolutionise the manufacturing sector by enhancing digital rights management, supply chain management, and product monitoring and tracking. Industrial supply chains may be made more transparent, secure, and efficient with the use of blockchain technology. This will save costs, boost quality control, and raise consumer confidence that the goods they buy are genuine and high calibre. However, there is a research gap in the implications of blockchain technology in the manufacturing sector. The aim of this research was to investigate the challenges and opportunities of blockchain technologies in the manufacturing sector. In order to accomplish the study’s goal, a two-stage systematic literature review technique was used, with the PRISMA framework being used to gather pertinent data from reliable sources like Scopus. The study contained 117 research papers, which were analysed using descriptive and scientometric methods and lysis to synthesise the literature and investigate important research clusters using the centrality and co-occurrence of keywords. The study’s conclusions point to the potential of blockchain technology to support decentralised manufacturing systems that provide risk-free and trustworthy cooperation among multiple stakeholders. The report also discusses the advantages and drawbacks of using blockchain in manufacturing and offers information on recent developments in the field of digital manufacturing that are related to blockchain technology. This study emphasises the value of blockchain technology for the industrial sector and the need for more research to fully understand its potential. Blockchain technology may help the manufacturing industry become more effective, transparent, and quality assured while also reducing costs and fostering better confidence among supply chain actors.
Library apps to improve the digitization of Sekolah Penggerak Program

Education is a planned means for human development and progress, especially in Indonesia. Education programs in Indonesia have changed from year to year. The first programs were the Rencana Pelajaran Curriculum in 1947, Pendidikan Curriculum in 1975, the Competency-Based Curriculum in 2004, the 2013 Curriculum, and the Merdeka Curriculum 2022 until now. Sekolah Penggerak Program is one of the curriculum implementations that play a role in making operations that suit the learning needs of students at school. One of the interventions in Sekolah Penggerak Program is digitizing schools using various platforms to support student learning and creativity. There are still many Sekolah Penggerak that have not maximized the use of digitalization, one of which is Pelita Kasih Kindergarten. Pelita Kasih Kindergarten is one of the Sekolah Penggerak in Buleleng Regency. Pelita Kasih Kindergarten still uses manual recording to record borrowing books borrowed by students or parents of students. These problems can hamper the learning process and are considered less efficient. Therefore, a system was developed to assist library management and book lending to minimize errors and human errors that could occur. Library system development in this study using the prototype method. The prototype method is used to allow interaction between system developers and system users, it can overcome discrepancies that may occur between developers and users. The results of information system testing using the black box method show that 91% of the functionality is appropriate and it is an indicator of the success of the designed information system.
PENGARUH PENGGUNAAN MEDIA AUDIO VISUAL TERHADAP MENULIS KARANGAN DESKRIPSI PADA SISWA KELAS VII SMP NEGERI 32 PALEMBANG

The purpose of this study was to determine the influence of the use of audio media on writing descriptive text essays for class VII students of SMP Negeri 32 Palembang. The ability of students in descriptive text material for class VII students of SMP Negeri 32 Palembang is still lacking because the interest in learning or the media used is not varied. The focus of this study is to identify whether there is an effect of using audio-visual media on writing descriptive text essays. The results of this study indicate that the use of audio-visual media has an effect on writing descriptive essays in class VII students of SMP Negeri 32 Palembang. It can be seen from the results of the T test that the significance value of the variable is 0.002≤0.05. This means that there is a significant effect of learning audio-visual media on the ability to write descriptive text for class VII students of SMP Negeri 32 Palembang. So it can be concluded that audio-visual media has a significant influence on the ability to write descriptive text so that it can achieve good and optimal learning.&#x0D; Keywords: Audio Visual Media, Writing Essay Description
PERANCANGAN USER INTERFACE DAN USER EXPERIENCE PADA APLIKASI VISITING KOTA METRO

Metro City has diverse tourism potential with its natural, artistic, and cultural wealth, so tourist destinations and culinary places in Metro City are growing in quality and quantity. However, due to the lack of information about tourist places, the number of visitors to tourist destinations and culinary places does not increase significantly, so people must look for a single unit of information for each tourist and culinary destination. So we need information media to facilitate problem-solving in the form of tourist destination applications and culinary places for tourists. With this application, it is hoped to help the problems of tourists who have difficulty finding information about tourist destinations and culinary places in Metro City. The application is designed using the User Centered Design method. Based on the results of testing the level of user satisfaction, the design of the Metro City Visiting application is included in a perfect interval with an average proportion of 80% so that the design can be continued to the application development stage.
Penerapan Algoritma AES 256 Pada Qr Code Untuk Sistem Registrasi Event Sepeda

Technology and the digital era are currently developing rapidly and providing various conveniences for humans in various aspects, including in the field of event organizers. After the Covid-19 pandemic ended, events began to be held again in various areas, including in Bogor. Bicycle events are one of the events that are highly anticipated by bicycle hobbyists, but there are still many event organizers who depend on Google Forms as a place to register participants. The problems that occur in the registration system using the Google form are related to data management and the ineffectiveness and efficiency the registration process because according to the value the registration process used at this time is still quite convoluted, causing queues at the time of re-registration of participants. In addition, there is no security that can maintain the authenticity of participant data, because currently registration data that is input via Google Form is directly stored automatically on Google Drive where the Google Drive account can still be accessed together so that leaks and tracing errors will be difficult to do. Therefore, the application of the AES 256 algorithm to the QR code is considered the right solution to increase system effectiveness, efficiency and security. registration. This research has carried out a feasibility test on a prototype that was built based on the evaluation value of the system which has been carried out through a questionnaire by 2 experts and 5 users showing that the system developed is very feasible with a percentage value of 84%. Thus, the use of the AES 256 algorithm on the QR code can be declared effective and efficient for increasing participant data security in the mountain bike event registration system.
Penerapan Metode Per Connection Classifier dan Failover Untuk Meningkatkan Optimasi Koneksi Jaringan Internet

The need for internet access is currently very high considering the need to search for information, articles or the latest knowledge. Many agencies or companies have integrated the internet network into their main needs in carrying out a goal in order to achieve the vision or mission of the agency or company that must be completed in accordance with the business processes that have been made. Basically, all companies want an internet connection that is effective and efficient in its use. Therefore, a solution arises from the existing problem to use two Internet Service Providers and make the proxy router a Load Balancer. The mechanism is that the proxy balances the load on an existing network. Based on the system development method used, namely the Network Development Life Cycle (NDLC), before determining the load balancing method used, an analysis of the traffic conditions running on a network is carried out and monitoring to obtain history on a network. The selection of Per Connection Classifier Load Balancing can meet the criteria because it optimizes existing connections so that there is no buildup or overload. Application of the Failover Technique, that is, if one connection from the ISP is lost, it will automatically look for a gateway that is used as a backup so that it can back up all network traffic. In addition to Load Balancing and Failover, bandwidth management is also implemented according to the needs and characteristics of user usage. In the results obtained from the evaluation for the Network Expert Test, there are results with a feasibility presentation of 100%, which means it is categorized as "Very Eligible". all statements submitted are Valid and Reliable.
Development of English Big Book to Teach Vocabulary for Eighth-Grade Students

The purpose of this study is to develop learning media in the form of recount text big books and to determine the feasibility of the media. This research was conducted on class VIII students of SMP Islam Mamba'ul Jadidi. The research method used is Research and Development (RandD) which uses the ADDIE model. The steps are (1) needs analysis, (2) product development, (3) product design, (4) product implementation, and (4) product evaluation. Validation by experts is used to determine the eligibility of the media. Researchers then do product testing. based on research (1) the media expert validator gets a score of 94% (2) the material expert validator gets a score of 98%. (3) The language validator got a score of 95%. Student vocabulary assessment got a score of 88%. Evaluation of student assessment responses to the media score of 89%. Thus the media is accepted by students. Research and development work produces a ledger that is suitable for use.
Textual Metafunction Analysis about Education News Text on Selected National Online Newspapers

The textual meta function is about the verbal world, especially the flow of information in a text, and is concerned with clauses as messages. In each meta function an analysis of a clause gives a different kind of structure composed from a different set of elements. The aim of this study was to analyze and identify the functions took from three different online newspapers, Jakarta Post, Jakarta Globe, and Tempo, with the context of educational news on the topic, "Merdeka Belajar Curriculum". This study used a qualitative approach as its methodology. The data was taken from the websites of Jakarta Post, Jakarta Globe, and Tempo. A functional English grammar was employed to analyze the data. Based on the study's findings, it identified three themes present in the Jakarta Post, Jakarta Globe, and Tempo: topical, interpersonal, and textual. Topical theme consisted of 43.5% of the article is unmarked theme and 16.5% marked theme. Interpersonal theme consisted of 3% of the article is modal adjunct, 4% is vocatives, and 6.5% is finite. Textual theme consisted of 2% of the article is conjunctive adjunct and 24.5% is conjunctions. The result is that in online newspapers related to education, topical themes are more prevalent, whereas interpersonal themes are less common. The function of Theme-Rheme used on educational news has a different definition for each type. In the findings, topical themes are more prevalent in the news. The topical theme used a simple structure so the article can be understood. However, the percentage of each type is different between the three newspapers, the effectiveness of each media in conveying information based on its advantages and disadvantages is constant.
PEMANFAATAN POJOK BACA DALAM GERAKAN LITERASI SEKOLAH

This study discusses the reading corner in the implementation of the school literacy movement, the current era makes reading activities seem boring. Pserta students need to be given a container for them to learn, classroom corner teredia books for them to read. both elementary schools and those in madrasah Ibtida'iyah, theoretical studies. The Data obtained came from rfereni-references about the reading corner, school literacy movement,the results of Theoretical Studies in this study of course the existence of a reading corner that makes students interested in peseta, with the reading corner makes students more respect for time, students become more insightful, reading corner aims to build interest from students, and the next value is that students have a noble character because with more reading, the smarter, then make students get achievements.
DenseGCN: A multi‐level and multi‐temporal graph convolutional network for action recognition

Abstract With the exponential growth of video data, action recognition has become an increasingly important area of study. Despite various advancements, achieving a balance between detection accuracy and lightness remains a formidable challenge, primarily due to the complexity of existing action recognition models. To address this issue, DenseGCN is developed, a lightweight network designed to optimize accuracy and efficiency. The aim was to create a detection model that has high accuracy while remaining lightweight for real‐world applications. DenseGCN operates via a unique three‐level feature fusion system. The initial stage involves the Multi‐level Fusion Network (MlFN), which contains dense connections and a Spatial‐Temporal Fusion Attention module (STF‐Att), designed to eliminate bias in feature extraction caused by deep networks. In the next stage, RefineBone tackles optimization issues in low‐dimensional feature layers by leveraging high‐dimensional feature layers, thus avoiding gradient stacking. Finally, the Multi‐temporal Fusion Feature Pyramid Network (MF‐FPN) generates a discriminative classification feature map by repetitively combining data from multiple dimensions. This strategy has proven successful in refining the extracted feature, allowing for discriminative feature extraction even with a reduced number of channels. This efficient design not only contributes to further research in developing lightweight networks but also offers enhanced possibilities for real‐world implementations. In two large‐scale datasets, NTU RGB+D 60 and 120, DenseGCN outperformed other state‐of‐the‐art methods, achieving an accuracy of 92.7% on the X‐View benchmark of the NTU RGB+D 60 dataset. The DenseGCN is 10.2 × faster and 10 × smaller than the spatial temporal graph attention network (STGAT) proposed in 2022 while retaining very competitive accuracy. The findings suggest that this model significantly improves the quality of feature extraction. As a result, DenseGCN presents a remarkable balance between accuracy and lightness.
Opportunities for Organization of Classes in Foreign Languages by Means of Microsoft Teams (in the Practice of Teaching Ukrainian as a Foreign Language)

The characteristic aspects of learning a foreign language require special resources and tools for online learning. Criteria for choosing educational platforms depend on the key elements of an academic subject area. Microsoft Teams (hereafter, MT) educational platform is considered to be a competitive one because it meets most of the needs that arise during the formation of a secondary linguistic persona. Due to a large number of enterprise programs, there is a successful acquisition of language skills and the implementation of all types of oral activities for students. A significant MT advantage is the constant analysis and monitoring of participants’ needs in the educational process by developers. The article highlights both MT advantages and disadvantages. The attention is drawn to individual programs, which, in the authors’ opinion, are the most successful to learn writing, reading, speaking, and listening, as well as organising classes that meet the needs of modern foreign students.
Pembelajaran Pengolahan Data dengan Metode Permainan Pos Berantai pada Siswa Kelas 4 Sekolah Dasar

Data processing is an important aspect of learning mathematics at the elementary school level. Next will understand mathematics in data processing. Data processing is the process of collecting, compiling, analyzing, and presenting data in graphical or tabular form so that it is easy to understand. There are two types of data that are often used in data processing, namely qualitative data and quantitative data. Qualitative data are those that are measured based on research as they are and cannot be measured by numbers, such as color, smell, and taste. Meanwhile, quantitative data is data that can be measured based on numbers, such as numbers or sizes. There is a method that can be used to better understand interactive data processing, namely the serial post game method. With this method in order to be able to explore the use of the postal game method in teaching data processing to grade 4 students in elementary schools so that it is more fun and does not make students easily bored. There is also the purpose of this study is to know how to improve learning outcomes in mathematics lessons regarding data processing using the serial post method for class IV Elementary School and to find out the responses to mathematics lessons on data processing materials that link students' activeness.
Development of Learning Media for Writing Pantun Based on Mobile Learning Using WordPress Content Management System

This research was conducted with the objectives of: (1) to produce learning media based on mobile learning in the form of a pantun writing learning media website. (2) carrying out learning to write pantun using mobile learning-based media using Wordpress CMS. (3) determine the effectiveness of the use of mobile learning-based learning media using Wordpress CMS on pantun writing MAterial. The method used is a research and development model adapted from Sugiyono, namely with ten steps: 1) potentials and problems, 2) data collection, 3) product design, 4) design validation, 5) design revision, 6) product trial, 7 ) product revision, 8) trial use, 9) revision, 10) MAss product. The research location at SMPN 3 North Penajam Paser in February-March 2023. Based on data analysis, mobile learning-based pantun writing learning media is appropriate and effective for learning to write pantun for seventh grade students of junior high school.
Penerapan Metode Topsis Untuk Menentukan Buku Favorit Dalam Pengadaan Buku Perpustakaan

The procuring books is one of the jobs of a librarian both in the university library and the public library, the procurement of books itself has several stages and one of them is determining the priority books to provide and also recommendations for additional books or other supports. In one of the libraries in the city of Bogor, they still have problems in determining the title of the book to be held because the way of work and the assessment process that is still carried out is still conventional and repetitive, therefore in this study, a Decision Support System was created that can determine the title of the book. priority in procurement. The method used is the TOPSIS method. The results of the calculation of the Topsis method are in the form of a ranking using book titles as an alternative, as well as several special criteria used and approved by the relevant Libraries such as Book Availability, Types of Books, and also the Number of Borrowers. This research was conducted to make it easier for library staff and also to increase the effectiveness of determining the priority book titles in one count of an application. To improve the recommendations given by the TOPSIS method, a test was carried out using the Rank Spearmen Correlation, the test results obtained were 0.96, these results were in the "Very High Correlation" category.