Reviewerly/exHarmony huggingface dataset:
Pengaruh Literasi Digital Pada Pembelajaran IPS terhadap Kemampuan Berpikir Kritis Siswa Kelas VIII Di SMP Muhammadiyah 22 Kisaran

This research was conducted to determine the extent to which digital literacy influences social studies learning on the critical thinking skills of class VIII students at SMP Muhammadiyah 22 Kisaran. This research is a quantitative research with data processing in the form of numbers. The data analysis technique used is a simple linear regression test, coefficient of determination test, normality test, linearity test and t-test. Based on the results of the study that obtained a tcount of -1.543 while the ttable value was at a significance level of 5% with N = 30, a ttable of 2.048 was obtained. Then the digital literacy variable has a significance level of 0.134 &gt; 0.05, which means it is not significant. So the value of tcount &lt; ttable is -1.543 &lt;2.048 then Ha is rejected and H0 is accepted, so it can be concluded that there is no effect of digital literacy on social studies learning on the critical thinking skills of class VIII students at SMP Muhammadiyah 22 Kisaran.
Deep Neural Network with Optimal Tuned Weights for Automated Crowd Anomaly Detection

Enhanced approaches to detect the anomalies in crowd videos could help in crowd surveillance. In vision-based surveillance, this is an attractive research topic. Previous researchers have used temporal and spatial information obtained from videos to detect different types of crowd abnormal behaviors. This article aims to propose new crowd anomaly detection with three major stages, namely segmentation, feature extraction, and classification. Originally, the input frame is subjected to the segmentation stage as its input. Here, the segmentation process is performed using Fuzzy C-means (FCM) clustering. During the feature extraction stage, it extracts the Histogram of Gradient (HoG) and Center Symmetric Local Binary Pattern (CSLBP) based features. Further, the optimized Deep Neural Network (DNN) is utilized for the detection of anomalies. To enhance the performance of the proposed work, DNN weights are optimally tuned via the developed OBL-added Shark Smell Optimization (OBLSSO) model. Finally, the suggested system’s outcomes are compared to those past methods using a variety of metrics.
Ecosystems for Higher Education and Society

The aim of the work is a systematic study of the learning ecosystem, formation and development of intellectual capital of the ecosystem in the future. Systemic and complex approaches and methods have been used: system analysis, synthesis, identification, aggregation and others, as well as methods of mathematical modeling and statistics. The main results of the article are the following: (1) a systematic analysis of intellectual capital of the organization taking into account the evolution of the ecosystem; (2) the possibility of applying indicators like D. Tobin, Social Mining type indicators for educational ecosystem; (3) quality assessment of intellectual capital of organizations. The achieved results will make it possible to develop new mechanisms for managing “educational ecosystems”, as well as to increase the capitalization of competencies through their contribution to the formation of intellectual capital.
Material Experience: Kebaruan Dalam Desain Yang Berfokus Pada Material Studi Kasus: Desain Aksesori Fashion Berbasis Material Polyvinyl Chloride (PVC)

Material selection is indubitably prominent in design creation. Technical and physical properties of a material are highly considered to determine function, utility, and manufacturing process. However, material selection is not only pivotal to design but also central to the users. Users have their own experiences with material that constructs their perception, association, and definition of materials. In fashion, the material experiences influence consumers’ purchasing decisions. Fashion consumers begin their reasoning with material thinking and interaction (if possible). The hands-on interaction of the product, where the material is implemented, stimulates memories that help their consuming decisions. Prior researches also argued that integration of material experiences in design will optimize outcomes, specifically providing user satisfaction. Those arguments inspired this research to investigate material experience in the design process. Experiences of material polyvinylchloride were observed by adopting the Material Driven Design method and the material experience’s pattern were illustrated by utilizing the Meaning of Material model. According to the research done in the Do-It-Yourself approach, material experiences were identified and seen transforming in every step of the process. Furthermore, the study of material experience was found beneficial for helping designers in understanding and measuring the intangible success of product, specifically user satisfaction.
A Metacognition-Based Digital Worksheet for Automotive Fault Diagnosis: a Needs Assessment

This study aims to define the problems and potential theoretical solutions to the problems in an automotive vocational teacher department.This study is part of a comprehensive study about the potential benefits of using the metacognition concept.Metacognition as the concept of learninghow-to-learn is needed for prospective automotive vocational teachers to conduct sustainable learning.This study is a qualitative study using semistructured interviews (SSI) and a focus group discussion (FGD) to collect the data.Firstly, the SSIs were conducted twice, before and after the FGD.The first SSI explores the problems, while the second SSI was conducted after the FGD to gain a possible contextual solution to the problems based on the result of FGD.Secondly, an FGD was conducted to explore the theoretical solutions to the problems.The findings of the first SSI stated that teaching communication skills and sustainable learning are necessary to be equipped since the automotive technologies in industries have been being developed rapidly from time to time.Those skills were not facilitated well in the teaching and learning activities in the department.The integration into courses of teaching communication and habit of sustainable learning could be the possible solution.The FGD findings stated that the metacognition concept could be brought into teaching and learning to deal with those problems.The second SSI findings said that automotive fault diagnosis learning was chosen as the subject since this is a problem-solving and higher-order thinking subject.Also, the learning tool kit for this subject is still conventional, so it needs to be improved with the metacognition concept.
FAKTOR-FAKTOR YANG MEMPENGARUHI KUALITAS AUDIT (STUDI PADA AUDITOR INSPEKTORAT KABUPATEN KUANTAN SINGINGI)

Audit quality is an assessment of a process in carrying out the examination process and the final result of an audit process carried out by the auditor. This study aims to analyze what factors affect audit quality. The population in this study is the auditor of the Inspectorate of Kuantan Singingi Regency. The sample used in this study was 10 samples which weredetermined using purposive sampling technique.This type of research is descriptive quantitative. The data of this study were obtained from the questionnaire given to the respondents (sample). The analysis used in this study is multiple regression analysis using SPSS version 21. The results of this study indicate that partially the competence variable has a significant effect on audit quality with a significance value of 0.09 &lt; 0,05. The work experience variable has a significant effect on audit quality with a significant value of 0.043&lt;0.05. Meanwhile, the variable of professional skepticism has no effect on audit quality 0.101&gt;0,05.
A survey paper on quick response codes and its image pre-processing methods based on steganography

Quick Response codes or QR codes are two-dimensional barcodes that can be scanned by mobile phone with embedded camera.In the automatic identification fields QR code has been widely.Picture steganography pictures are to establish the information of the mystery to such an extent that its reality cannot be recognized by the sender and other people separated from the recipient.Security of the secret information has been a challenge when a large amount of data is exchanged on the internet.Protected exchanges of data can be especially accomplished by steganography and cryptography.Steganography is a tool to hide data inside a photograph.Cryptography is a tool that provides encryption systems to verify correspondence.These codes can be used to provide fast access to URL, an SMS message, a phone number, a V-card, or any text and QR codes can hold much more information than a regular barcode.This paper displays a review of various steganography processes with various strategies used in writing.Similarly, some different methods were used, for example, different papers on LWT, DCT, DWT, RSTEG, and SSHDT so on.The work demonstrates the result that steganography has played an exceptional role in the various appliance.It increased the level of information security with wide use of its techniques.
A Blockchain-based Approach for Drug Traceability in Healthcare Supply Chain

Abstract: The blockchain typically described as a decentralized system in which transactional or ancient statistics are recorded, stored, and maintained throughout a peer-to-peer community of personal computers referred to as nodes. Counterfeit drugs are one consequence of such limitations within existing supply chains, which not only has serious adverse impact on human health but also causes severe economic loss to the healthcare industry. Blockchain technology has gained tremendous attention, with an escalating hobby in a plethora of several applications like safe and relaxed healthcare records management. Similarly, blockchain is reforming the traditional healthcare practices to an extra reliable means, in phrases of powerful prognosis and treatment through safe and cosy facts sharing using SHA Hash Generation Algorithm. Within the future, blockchain will be an era that can probably assist in personalized, authentic, and at ease healthcare by means of merging the entire actual-time scientific information of a patient’s fitness and offering it in an up to date cosy healthcare setup. In this paper, we evaluation each the present and modern day trends inside the subject of healthcare with the aid of imposing blockchain as a model. We also talk the packages of blockchain, at the side of the demanding situations confronted and destiny views. The proposed system executed blockchain implementation in distributed computing surroundings and it gives the automated restoration of invalid chain by using Consensus and Mining Algorithm. In this system, we present a Custom blockchain-based approach leveraging smart contracts and decentralized off-chain storage for efficient product traceability in the healthcare supply chain. The smart contract guarantees data provenance, eliminates the need for intermediaries and provides a secure, immutable history of transactions to all stakeholders. We present the system architecture and detailed algorithms that govern the working principles of our proposed solution. We perform testing and validation, and present cost and security analysis of the system to evaluate its effectiveness to enhance traceability within pharmaceutical supply chains.
Pengaruh Penerapan Model SQ4R Terhadap Keterampilan Membaca Pemahaman Siswa Kelas IV Sekolah Dasar

This study's purpose is to analyze how the SQ4R learning model has affected the reading comprehension abilities of fourth graders at SD Muhammadiyah 2 Pontianak. A quasi-experimental design with an unequal control group is the sort of research methodology that was employed. All 127 pupils in Grade IV Regular at SD Muhammadiyah 2 Pontianak made up the study's sample. Because the sample utilized was a representative sample of the population, the sampling approach employed was a nonprobability sampling technique with purposeful sampling. The method of gathering the data is a measurement method. Multiple choice questions served as the research tool. The average post-test value for the experimental class was 81.75 on average, compared to 76.37 for the control class, according to the analysis of the data. Ha is accepted based on the t test calculation findings, which came out with a 2.036. The outcome is 0.5873 in the medium criterion according to the findings of the impact size calculation. The adoption of the SQ4R learning model (survey, question, read, reflect, recite, review) has a favorable impact on the reading comprehension abilities of fourth grade pupils at SD Muhammadiyah 2 Pontianak, it may be determined.
A comprehensive review on credit card fraud detection using machine learning techniques

The rapid advancement in E-Commerce industry has led to an exponential increase in the use of credit cards for online purchasing and consequently they have been surging in the fraud related to it .In recent years, For banks has become very difficult for detecting the fraud in credit card system and online banking and a large financial loss has greatly affected persons and also merchants and banks.Basically, Fraud is an unlawful way to obtain commodities and resources.The goal of such illegal transaction might be to get yield without paying or gaining an unconstitutional access to an account.That's why there is a need for an efficient technique that can be used for detecting the credit card fraud.Machine learning algorithms play an important role for detecting the credit card fraud in transactions.
Pengembangan Media Pembelajaran Berbantu Google Sites pada Pembelajaran Tematik Tema 4 Subtema 1 Kelas V SDN 11 Pontianak Kota

Making learning media supported by Google sites for Theme 4, Sub Theme 1, Learning 1 material is the purpose of this research. Borg and Gall's development research used nine of the ten development steps, including potential problems, data collection, design, design validation, design revision, initial trial, product revision, trial use, and product revision. Quantitative data was obtained from the results of validator product evaluations and teacher and student responses to the media practicability questionnaire. Validators, teachers, and students provided suggestions and notes that became the source of qualitative data. Interview guidelines, questionnaires, and documentation are examples of research tools. The results of the assessment by media and material experts are used to determine the feasibility level of a learning media, while the teacher and student assessments are used to determine the practicality level of a learning media. The average media expert validation score of 4.4 which meets the criteria of "very valid" puts the product in the "very feasible" category for use in the field. The material expert validation results get an average of 4.2 with the criteria "very valid" which means the product is included in the "very feasible" category for use in the field. The results of the evaluation of the practicality of learning media by small groups obtained an average of 3.31 with the criteria "very practical". The results of the evaluation of the practicality of learning media by large groups obtained an average of 3.39 with the criteria "very practical". The media obtained an average score of 3.78 with the criteria of "very practical" according to the teacher's assessment of its practicality.
MapAI Competition Submission for Team Kaborg

This paper constitutes the final portion of our submission tothe MapAI image segmentation competition [1]. We introducea Stable Diffusion(SD) [2] model with a particular emphasison augmenting image segmentation datasets. Due to anunfortunate mistake made during the training of our modeliterations, the benefits of these techniques are not reflected inthe final submission score. We reach only a combined scoreof 0.62. Nevertheless, the method shows potential and can beapplied to accurate image segmentation in future projects
THE 21ST CENTURY SKILLS GAP IN THE KENYAN EDUCATIONAL SYSTEM: A FOCUS ON PUBLIC SECONDARY SCHOOLS IN WEBUYE WEST SUB COUNTY, KENYA

The quote from Alvin Toffler “the illiterate of the 21st century will be those who cannot learn, un learn and re learn can be used to describe the educational system of a country which hopes to equip learners with relevant 21st century skills”. However, there is a widespread consensus that education systems are failing to adequately prepare learners with the relevant 21st century skills necessary to succeed in life, and career and be better citizens. The study adopted a descriptive survey research design. Primary data was collected using structured questionnaires and checklists. A census approach was used to select all 47 secondary schools in Webuye West Sub County. Purposive sampling was used to pick 4 teachers from each school. The four teachers were picked from the language department, Humanities department, Mathematics department, and Sciences department respectively. The sample size was 188 teachers. SPSS was used to analyze data. Descriptive statistics such as frequencies, percentages, mean and standard deviation was used. Findings reveal that the educational system in Kenya prioritizes competitive exams while underplaying 21st century skills that are needed to make learners better citizens. This implies that there is a high 21st century skills gap between both the teachers and the learners in most of the public secondary schools in Kenya. The study concluded that in 21st century all educators (teachers) play a critical role in shaping the lives of learners. When the teaching and learning process is at its best, learners will be better citizens and better human beings in society and in the nation at large. Therefore, educators should act as mentors and peer coaches with fellow educators, pursuing continuous learning opportunities and unlearn, learn and relearn to make better educators.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0004/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Promoting research through claiming centrality and explicit research contributions in applied linguistics research articles

Since authors intend to publish their academic research in reputable journals, promoting their research significance is pivotal to convincing journal gatekeepers for accepting their research articles (RAs). However, studies on research promotion within RAs are still limited, and none has comparatively studied this essential issue in English RAs published in reputable international journals and Indonesian highly-accredited journals as data sets. Thus, comprehending this gap has encouraged me to conduct the present study, by analyzing how claiming centrality and research contribution are employed in both data sets. For the data analysis, I employed a top-down approach for analyzing both data sets and used combined qualitative and quantitative approaches for the analysis reports. Then, the analysis results revealed that while claiming centrality appeared in most of both data sets, presenting research contribution appeared only in a few RAs of both data sets. Then, authors tend to express these two communicative steps using simple sentences more than the other three sentence types, except those published in reputable international journals as they mostly employ complex sentences in expressing their research contribution. These findings imply that promoting research by stating that the current research topic is important for research is important in the data, but using claiming centrality is more dominant than presenting research contribution. These findings also indicate that promoting the significance of current research topics is very essential.
Phishing Attack Detection on Text Messages Using Machine Learning Algorithms

Abstract: A revolutionary method that enables users to write in the air using hand gestures and precisely recognizes finger movement is the air writing and recognition system using the MediaPipe module. A new method that enables users to write in the air using hand movements while AWS Textract accurately translates and converts the written language is to use AWS Textract for air writing detection and recognition. It uses machine learning techniques to examine how the hand landmarks move over time and recognize various gestures. The system is an effective and user-friendly solution for jobs requiring text input and air writing due to its real-time tracking and precise recognition capabilities.
Xperia Search Engine

Abstract: This research paper delves into the innerworkings of search engines and introduces Xperia, a personalized search engine aimed at enhancing information retrieval. The paper explores the fundamentaltechnologies employed by search engines, tracing their evolution and growth over time. It presents the development and implementation of Xperia, highlighting its unique feature set that goes beyond traditional search engines by providing users with not only relevant resourcelinks but also extracted information from various web sources. The paper begins with an introduction, providing the background and motivation for the research, as well as outlining the research objectives and scope. It then delves into the fundamentals of search engines, discussing their components, crawling and indexing processes, ranking algorithms, and user interfaces. The evolution of search engine technologies is examined, from the early stages to the current advancements in semantic search, natural language processing, and the incorporation of machine learning and artificial intelligence.
Research on Network Data Algorithm Based on Association Rules

The network data algorithm on account of association can effectively describe the development process of historical data and predict the development trend of data. Draw support from the corresponding data algorithm to ameliorate the mining efficiency and execution efficiency of association, more users pay more attention to the rules, so it has important research and utilization value. On account of this, this paper first analyses the concept and mining process of data association, then studies the mining algorithm of data association, and finally gives the structure and utilization effect of cyber data algorithm on account of association.
Sources of School Income at The Jam'iyah Mahmudiyah Foundation

This article aims to determine the source of school income Jam'iyah Mahmudiyah Foundation. This research seeks to explain how the source of school income for the Jam'iyah Mahmudiyah Foundation is. The method used in this research is qualitative. Data collection techniques using observation techniques, interviews, and documentation study techniques to obtain valid data about the source of school income. This research was conducted at MTs Jam'iyah Mahmudiyah which is located on Jl. Sheikh M. Yusuf, Tanjung Pura District. The results of the study indicate that the sources of school income at the Jam'iyah Mahmudiyah Foundation are divided into three, namely school income from the government, school income from students' parents, and income from independent school businesses obtained from several activities such as the management of the school canteen so that the sales or rental income where the sale will be collected so that it becomes a source of income. Then the management of school cooperatives and the rental of school-owned buildings and facilities which of course can become income for the foundation itself.