Reviewerly/exHarmony huggingface dataset:
RANCANG BANGUN BETTY PET SHOP DENGAN LAYANAN PET HOTEL BERBASIS WEB

Pets provide us with entertainment as we go about our daily lives. Bathing, eating, and fun activities for animals to keep them entertained are all necessary to keep pets clean and healthy.Due to limited time and busyness, animal owners are not always able to be close to their pets, and as a result, they are unable to care for these animals, so they require a place and means of care, as well as care for their beloved animals.This pet hotel website was designed to make it easier for owners to order day care and care for their beloved pets without regard for space or time constraints.This website was created with UML (Unified MarkUp Language). he SDLC (Software Development Life Cycle) method was used to build this website, which includes the stages of analysis, design, manufacture, and testing. This website was built with JavaScript, PHP, and MySQL.
A THE HANDWRITTEN DIGITS RECOGNITION

Humans can see and visually smell the earth around them by using their eyes and smarts. Computer vision works on enabling computers to ascertain and reuse images within the same way that mortal vision does. Several algorithms developed within the area of computer vision to admit images. The thing of our work is going to be to make a model which will be ready to identify and determine the handwritten number from its image with better delicacy. We aim to finish this by using the generalities of Convolution Neural Network and MNIST dataset. This paper presents an approach to out• line handwritten number recognition supported different machine learning fashion. the most objective of this paper is to make sure effective and dependable approaches for recognition of handwritten integers.
A Critical Discourse Analysis on News Report about Controlling Methods in Vaccine of Covid-19 from British and American Mainstream Media based on Fairclough’s Three-Dimensional Model

This paper tends to analyze the controlling methods in vaccine of covid-19 in 50 pieces of news report from British and American mainstream media based on Fairclough's three-dimensional model and aims to figure out the way to reinforce the reliability of reports, the message conveyed, the media's attitudes in different epidemic conditions and the effect of the media on society.
Tingkat Literasi Digital Siswa Berdasarkan Ketersediaan Media Pembelajaran di Sekolah

Currently, education is experiencing problems in learning due to the Covid-19 pandemic, that is, online learning. Online learning is closely related to the Digital Literacy possessed by students. This study aims to determine the level of digital literacy through the availability of learning media in biology subjects at SMAN 9 Malang. This research is categorized as survey research. The data was obtained by interview technique. The research subject is a teacher teaching biology in 2021. The data analysis was carried out qualitatively based on the results of interviews with the teacher. Based on the interviews, teachers at schools use learning media such as video, PPT, and e-modules and have implemented digital literacy in learning but have not been implemented optimally. The number of sources used in education is highly recommended, but there is a need to consider and evaluate digital-based materials and sources. This evaluation is helpful so that students can understand the material and the planting of character education even though it is virtual. Based on these results, it can be concluded that students already have the ability of digital devices so that it is easy to understand the material through digital learning media.&#x0D; &#x0D;
Penggunaan Aplikasi Zahir Accounting untuk Penyusunan Laporan Keuangan pada CV Wira Bone

Financial statements are usually prepared by the company for activities that have occurred for transactions. Likewise, CV Wira Bone, which is a CV or a company engaged in a welding workshop. Previously, this CV did not have financial statements, only simple evidence of transactions and financial records. So, in knowing the benefits, mistakes can still occur and making decisions will be difficult because you do not know the company's financial performance. So in this case it is necessary to prepare financial reports to provide information about the company's financial records. The compilation of financial reports can be done using a computerized system using the Zahir Accounting Version 6. The data obtained is in the form of financial data that is owned by the company which is requested directly and its suitability with the company's activities that have occurred. With the Zahir application, the resulting financial reports are more accurate, effective and efficient so that they can find out the company's financial performance for making future decisions. The use of Zahir Accounting Version 6 is a good solution for solving problems that occur regarding company finances because it can provide convenience for the company itself. So using this computerized system will be better than using a manual system because it can provide convenience, the results obtained are accurate, effective, efficient and can minimize the time used
Cognitive Assistants and Intelligent Agents - Keynote Speech

Cognitive Assistants are a relatively new concept, advancing the Cognitive Orthotics concept that focuses on direct assistance to people with cognitive or physical disabilities and expanding the area to include complex platforms that include sensors, actuators, interfaces, monitoring abilities, and decision processes.CA is an area containing technologies such as personalized intelligent assistants, multi-agent systems, robotics, e-health applications, and others.This keynote will present several advances made in the area of CA from the point of view of intelligent agents.
Analytical study of predictions and clustering methodologies to enhance co-clustering formulation from time-changing information in machine learning

Nowadays, machine learning is playing vital role to extract and identify the useful features that best represent data in various fields, containing biological data analysis, content mining, and social investigations. Conventional clustering and feature selection techniques consider the information lattice as static. However, the information lattices advance easily after some time in numerous applications. The unsupervised pattern mining, existing co-clustering techniques always imagine that the information lattices are static; that is, they do not develop after some time. However, numerous real-world domains, the procedures that produced the information are time developing.The analytical study focuses on an evolutionary co-clustering formulation for recognizing co-clusters from time-changing information which employs sparsity-inducing regularization to recognize block structures from the time-changing information lattices in article.The analytical study reviews and studies the various predictions and clustering methodologies of machine learning with feature and limitations to design and efficient and robust technique to solve recent issues.
Design electronic medical records with clinical decision support system (CDSS) to prevent interaction of drug content in outpatient department

Introduction: Hospitals must provide the best service to patients. The best services include speed in service, being on time, and being safe from medical errors. The best service to patients is to provide electronic medical records. Electronic medical records contain social data and patient medical data. The advantages of medical records are data stored in structured files, timely filling, data can be recalled at any time, patient confidentiality, and patient safety. This study aims to design electronic medical records with Clinical Decision Support System (CDSS) to prevent the interaction of drug content in the outpatient department. Methods: General background of the research is the design of electronic medical records with a clinical decision support system to prevent interaction of drug content for outpatient Departement. The design included: Business Process, Data Flow Diagram (DFD), and Entity Relationship Diagram. Five doctors, two nurses, and a pharmacist assistant were respondents. Qualitative data from FGD were analyzed by transcripts looking for similarities or differences, finding themes, and developing categories. The Design of Electronic Medical Record with Clinical Decision Support System (CDSS) was designed based on paper forms and the Result of FGD. Results: Electronic medical records were designed according to the users' needs in the outpatient department. User requirements had been taken by Focus Group Discussion (FGD). User requirements about Electronic Medical records included: Infrastructure Availability, Software (open source and web application because it was easy to develop according to users' needs, and training on electronic medical records. There are steps to designing electronic medical records: Business Process, DFD, ERD, and Data Dictionary. Conclusion: The design of electronic medical records with CDSS in the form of drug content interactions is a novelty that has the potential to be applied. Implementation of electronic medical records can prevent medical errors and support patient safety.
Mitigating Foreshadow Side-channel Attack Using Dedicated Kernel Memory Mechanism

New threats to operating systems include side-channel attacks (e.g., Meltdown and Foreshadow) that combine the speculative execution of the central processing unit (CPU) and cache manipulation to facilitate inference of the kernel code and kernel data stored in CPU caches. Side-channel attacks mitigation strategies require kernel memory isolation mechanisms that modify kernel design, such as the kernel page table isolation that separates the kernel memory space for the kernel and user modes to mitigate the Meltdown, and the address space isolation that segregates the virtualization features from the kernel memory space for Foreshadow mitigation. However, user processes still share the remaining kernel feature on the same kernel memory space. The speculative execution of the CPU in a side-channel attack using Foreshadow allows the adversary to refer to the kernel data of the targeted user process with kernel features. This paper presents a dedicated kernel memory mechanism (DKMM), which controls the memory space allocation method for each user process with kernel features. It mitigates Foreshadow side-channel attack (e.g., Foreshadow-OS) with speculative execution. Furthermore, it enables each user process to use its dedicated kernel memory space and suppresses the reference to the kernel data of kernel feature used by the attacked user process attacked by Foreshadow side-channel. We implemented the DKMM on Linux and evaluated its security capability to protect the kernel data of container features against side-channel attack by the Foreshadow proof of concept code. The performance evaluation was reasonable, as the maximum system call overhead was 7.864µs, the web client program ranged from 0.55% to 0.77% for the 100,000 Hypertext Transfer Protocol sessions, and the benchmark score was 1.06% overhead.
Parkinson’s Disease Recognition based on Sleep Metrics from Actigraphy and Sleep Diaries

Parkinson's disease is accompanied by sleep disorders in most cases.Therefore, patients with Parkinson's disease could be identified according to the proper sleep metrics.The study aims to train a classifier and identify proper sleep metrics, that could distinguish patients with Parkinson's disease from subjects in the control group based on data from actigraphy and sleep diaries.The study sample consisted of 23 patients with probable Parkinson's disease and 71 control subjects resulting in 654 nights of actigraphy and sleep diary data, with 26 unique features per night.XGBoost classifier was trained to distinguish the groups, scoring 80% accuracy and 52% F 1 on test data.Actigraphy-based parameters targeted at wake analysis during sleep were marked as most important.The study provided a classifier and obtained the most important parameters to identify patients with Parkinson's disease based on actigraphy and sleep diary data.
STUDENTS’ GRAMMATICAL COMPETENCE IN SPEAKING SKILL AT SMA MUHAMMADIYAH 3 MAKASSAR

This study aims at finding out the students’ grammatical competence in speaking skills especially in the use of simple present tense at SMA Muhammadiyah 3 Makassar. The method of this research was Descriptive Quantitative Method. Data of the research were collected through speaking test. The sample of this research was class XI IPA 3 from SMA Muhammadiyah 3 Makassar. The sample was taken by using Purposive Sampling Technique.Based on the results of the research, it was found that the students’ grammar competence in speaking skill in of XI IPA of SMA Muhammadiyah 3 Makassar is categorized into poor level. It was found that the students are difficult to form the sentence well and to arrange correct sentence when speaking. It was based on the result of test given dealing with the classification of students’ score.
Interest Cannot Be Forced. The Role of Academic Motivation and Teaching Styles in the Development of Students’ Critical Thinking

In a situation of a sharp increase in the volume of information, often including a large number of false facts of various nature (disinformation), critical thinking becomes one of the competencies, the formation of which is decided by the scientific and educational community. Scientists identify academic motivation and teaching styles as factors associated with the development of critical thinking. The relationship between these factors and critical thinking has previously been studied only in relation to the dichotomous scale of academic motivation, consisting of intrinsic and extrinsic motivation. The relationship of other types of motivation identified in the theory of self-determination E.L. Desi and R.M. Ryan has not been studied. This study, conducted on a sample of economics students at the Russian National Research University (4867 students), is intended to contribute to this discussion. Authors determine which teaching style leads to the activation of learning motivation, identified within the theory of self-determination. In addition, which types of learning motivation are predictors of the development of critical thinking. The analysis was carried out using the method of multivariate regression with the inclusion of variables of mediators. This will allow to identify teaching methods associated with the activation of the necessary types of motivation, and, as a result, an increase in the educational results associated with them. However, despite the authors’ attempts to identify additional types of academic motivation positively associated with CT within the subscale of extrinsic motivation, it was proved that only types of intrinsic motivation were positively associated with the construct under study. They are activated when the constructivist style of teaching is applied, which, among other things, explains its effectiveness in relation to the development of a given construct.
Pemanfaatan Media Internet dalam Pembelajaran Pai Selama Covid-19 Di MTsN 1 Aceh Besar

This study aims to determine the use of internet media in PAI learning during Covid-19 at MTsN 1 Aceh Besar. By using descriptive qualitative research methods. The use of internet media is very helpful in the learning process during the Covid-19 pandemic at MTsN 1 Aceh Besar. Advances in information technology that are very advanced at this time, internet media can connect students with teachers through whatsapp pages, whatsapp groups, youtube. Supporting factors for the use of internet media in PAI learning during Covid-19 at MTsN 1 Aceh Besar are the school principal's policy that strongly supports the online learning process, support from parents and the Tri internet card given from the school as a result of a proposal from the government that has been recorded. number in the Ministry of Education and Culture for teachers and students. While the obstacle factor is that not all students have cellphones and networks that are difficult to reach.
Polynomial model to estimate global solar radiation based on extreme temperatures for the city of Puno

The research aimed to identify a polynomial model of a lower degree to estimate the global solar radiation for the city of Puno based on the difference in extreme temperatures, for which it is considered data measured by the DAVIS meteorology station of the National University of the Altiplano of the year 2018 and the Python PolynomialFeatures instance. The adjustment of polynomial from degree 1 to 16 is carried out by calculating their respective correlation coefficients and mean error between the data measured and estimated by the polynomials where it was obtained that the polynomials greater than degree 8 present a lower growth, in this way it is established that the lowest degree polynomial to estimate solar radiation is degree 8, whose correlation coefficient is 0.7326, which does not allow daily global solar radiation values with a reliability of 73% . Concluding that it was possible to identify the lowest degree polynomial to estimate the global solar radiation which is degree 8.
Optimization System of Strength and Flexibility Training in Aerobics Course Based on Lagrangian Mathematical Equation

Abstract In this paper, the Lagrangian mathematical equation is used to construct a feature extraction model for the flexibility of aerobics athletes. At the same time, this paper uses machine vision to identify and extract feature points of aerobics movements. This paper realizes image feature recognition through multi-dimensional pixel information decomposition. At the same time, we realize the radian trajectory positioning of the aerobics action image based on the Lagrangian equation. The experimental research shows that the algorithm proposed in this paper has higher accuracy and better localization performance when recognizing the radian trajectory of aerobics movements. The algorithm improves the optimization and correction ability of aerobics movements.
Artificial Intelligence Innovation Related Factors Affecting Organizational Performance

Organisations paid more attentionto the innovations of artificial intelligence (AI)technology to improve the organizational performance. Hence, using AI-related innovations to support the organizationrequires understanding of factors affecting organizational performance. Thus, this paper presents the development of PLS-SEMmodelof AI-related innovations factors that affect the organisational performance. The study identified 21innovation AI-related factors that were clustered into four groups namely process innovation; management capabilities; personal expertise and organization structure.The model comprised of fourexogenous constructs of the innovationfactors and one endogenous construct of organisational performance. The data used to develop the model was derived from 384valid responses of a questionnaire survey amongst the employees of three government organizations in Dubai, which are Dubai Police, Dubai Electricity &amp; Water Authority Dewa, and Emirates Integrated Telecommunications Company. The survey adopted simple random sampling technique in respondents’ selection. The model was developed in SmartPLS software and was evaluated at the measurement and structural components of the model. It was found that the modelhas achieved its goodness-of-fit, GoF criteria of0.596which indicates that the model has substantial validating power. The hypothesis testing results found that three out of four relationships are significant which are having t-value and p-value above the cut-off values. The significant relationships are organization structure, personal expertise and process innovation. However, the unsignificant relationship ismanagement capabilities affecting the organisational performance. This is due to the characteristics of the collected data which is not strong enough to establish significant relationship as what have been hypothesized.The findings are contributions to any parties that involved in the application of AI innovation to improve organisational performance.
Development of handout teaching materials with a contextual approach to improve students' mathematical understanding

This study aims to determine which handout teaching materials with a contextual approach are suitable for use in learning mathematics, and to find out that handout teaching materials with a contextual approach are able to improve students' mathematical understanding. The type of research used is Research and Development (R&amp;D) using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The data collected in the form of observation sheets, interviews, questionnaires, and tests of students' mathematical understanding. The handout validation was validated by experts, namely material, language, and media experts, covering aspects of content, presentation, language, and graphics. In the validation results, material experts get a score of 3.44 which states "very valid", the linguist gets a score of 3.69 which states "very valid", and media experts get a score of 3.21 which states "valid". so that the overall average score gets a value of 3.45 which states "very valid". While the student and teacher responses get an average score of 3.25 which states "very practical", and on the effectiveness of the handout teaching materials obtained from the final test results students get a percentage of 71.8% which states "effective". Then on the results of the students' understanding test, they got an n-gain value of 0.6 which stated "medium", that the understanding obtained by students did not decrease or increase so it was relatively moderate
Pengaruh Penggunaan Media Kartu Kata Terhadap Kemampuan Membaca Permulaan pada Siswa Kelas I SDN 104181 Sunggal Kanan

Reading in everyday life is very important, because by reading we can find out written information. Often read, people can master a lot of vocabulary, and can learn various types or models of sentences. Therefore, to improve reading it must be taught from an early age. The benefits that can be obtained from teaching children to read from an early age include: increasing children's vocabulary, improving communication skills, and being able to create their imagination. This study aims to determine the effectiveness of using word cards to improve children's early reading skills in the experimental class at SDN 104181 Sunggal Kanan. To achieve the above objectives, a quantitative research approach is used. The type of experimental research is one group pretest posttest. In this study, researchers took a sample of 24 children in the experimental class and 25 children in the control class at SDN 104181 Sunggal Kanan. With data collection techniques using an assessment instrument. Data analysis using t test. The results of this study indicate that the learning outcomes in the experimental class are higher than those in the control class. This conclusion is based on the final results of the average children, where the average pretest of children in the experimental class (before treatment) was 6.375 out of 24 children, while the average of children in the posttest results was 9.167. While in the control class, the average pretest of children ) was 5.8 out of 25 children, and the average of children on the posttest results was 6.44. In addition to the students' average results, the results of the t-test were also obtained, namely the t-count value obtained a significance value (sig.) 0.000 &lt;0.05. So it can be concluded that Ho is rejected and Ha is accepted, which means that there is an effective use of word cards to improve early reading skills.