Reviewerly/exHarmony huggingface dataset:
ANALISIS KESUKSESAN WEBSITE STIKES ABI (ARTHA BODHI ISWARA) SURABAYA DENGAN MENGGUNAKAN MODEL DELONE & MCLEAN

Sekolah Tinggi Ilmu Kesehatan Artha Bodhi Iswara Surabaya (STIKES ABI) right now is using the website to carry out learning activities, and registration activities. The STIKES ABI website has been created since 2016 and has made many changes every year. The problem with the STIKES ABI website is that the number of visitors has recently decreased. The average number of visitors is 77 per month. Since the beginning of using the STIKES ABI website, there has never been an evaluation of its success. Therefore, in this research, an analysis of the success of services on the STIKES ABI Surabaya website was carried out using the Delone and McLean models which consisted of information quality variables, system quality and service quality as independent variables and usage variables, user satisfaction variables and net benefit variables as dependent variables. This research used 151 samples consisting of 62 active STIKES ABI college students and 89 general society including new students candidate. According to the results of descriptive analysis, obtained the average value of each variable. For the system quality variable obtained an average of 3,54 which means nearly good, for the information quality is 3,62 which means nearly good, for the service quality is 3,51 which means nearly good, for the usage is 3,42 which means good enough, for the user satisfaction is 3,57 users which means nearly good, and the net benefit is 3,61 which means nearly good. Meanwhile, the results of the analysis according to the Structural Equation Modeling (SEM) method showed that the value of the system quality variable that affected the user satisfaction variable by 43,18%, the quality variable had affected the user satisfaction variable by 31,73%, the user satisfaction variable had affected on the usage variable by 45,39% and the user satisfaction variable had affected on the net benefit by 48,77%. Based on the results of this affection, it shows that STIKES ABI Surabaya must improve the system quality and service quality so that is useful to increase user satisfaction of STIKES ABI website. So it can be useful to increase the number of website visitors .
ANALISIS TERHADAP APLIKASI WHATSAPP DAN LINE MENGGUNAKAN METODE USABILITY DALAM TEKNOLOGI KOMUNIKASI

The mobile messenger application is a messaging application that is currently very often used by all humans to make communication easier and even a necessity for humans, because from this mobile messenger application we get information, namely the WhatsApp and LINE applications. In using the mobile messenger application, often some applications cannot use it efficiently and effectively, such as how to use it is too complicated, it becomes a consideration for users in using the mobile messenger application. This study aims to compare the two mobile messenger applications, namely the WhatsApp and LINE applications, assessed from their effectiveness and efficiency, as well as the interests of these mobile messenger users. And from the results of the research that we tried on 40 respondents using the questionnaire method that the WhatsApp mobile messenger has a high value compared to LINE with a total of 92% of respondents and the remaining 8% for the level of effectiveness and efficiency and from the level of most users all respondents use the Whatsapp application, 5 of them use the LINE application.
An Empirical Investigation of Users’ Different Cognitive Processes in Bitcoin Investment Behavior

The purpose of this study is to examine users’ decision-making mechanism of Bitcoin investment behavior and its sequential consequences from a dual-systems perspective. Original data were collected via a survey of 334 participants with experience in Bitcoin investment. The partial least squares method was used to test the proposed model. The results of this study revealed that Bitcoin investment behavior is driven by strong impulse and weak self-control, leading to negative consequences. The extent of the imbalance between the two cognitive systems is greater with the subjective norm than without it, thus facilitating Bitcoin investment behavior. Noteworthy differences in the impulse and self-control effects on Bitcoin investment are found with differences in Bitcoin objective and subjective knowledge. This study is the first attempt to empirically investigate users’ decision-making mechanism used when investigating in Bitcoin.
ANALISA APLIKASI CAKE BERDASARKAN PRINSIP DAN PARADIGMA INTERAKSI MANUSIA DAN KOMPUTER MENGGUNAKAN EVALUASI HEURISTIC

With the many mobile applications and websites that offer online courses and learning, learning English has never been easier. On the other hand, the field of study of Human and Computer Interaction (HCI) is an important aspect that must be considered in an application/website design. Cake application is an English learning application that uses mobile media. Cake has been downloaded by over 50 million users on the Google Play store and is regarded as a competitor to Duolingo, which is claimed as the best application for learning English. As a result, Nielsen and Molich's heuristic evaluation method was used to analyze the cake application. This Cake Application analysis seeks to ascertain the relationship between application functions using the principles and paradigms of Human and Computer Interaction (HCI). Human, Technology, Ergonomics, and Usability are the aspects that are evaluated, and they are thought to have been adequately represented by usability testing using the heuristic evaluation method. The analysis has revealed that most aspects of the application receive a severity rating scale of 0 (perfect scale), indicating that the Cake application meets the aspects of Human and Computer Interaction.
Quantum Algorithms for Simulating the Lattice Schwinger Model

The Schwinger model (quantum electrodynamics in 1+1 dimensions) is a testbed for the study of quantum gauge field theories. We give scalable, explicit digital quantum algorithms to simulate the lattice Schwinger model in both NISQ and fault-tolerant settings. In particular, we perform a tight analysis of low-order Trotter formula simulations of the Schwinger model, using recently derived commutator bounds, and give upper bounds on the resources needed for simulations in both scenarios. In lattice units, we find a Schwinger model on $N/2$ physical sites with coupling constant $x^{-1/2}$ and electric field cutoff $x^{-1/2}\Lambda$ can be simulated on a quantum computer for time $2xT$ using a number of $T$-gates or CNOTs in $\widetilde{O}( N^{3/2} T^{3/2} \sqrt{x} \Lambda )$ for fixed operator error. This scaling with the truncation $\Lambda$ is better than that expected from algorithms such as qubitization or QDRIFT. Furthermore, we give scalable measurement schemes and algorithms to estimate observables which we cost in both the NISQ and fault-tolerant settings by assuming a simple target observable---the mean pair density. Finally, we bound the root-mean-square error in estimating this observable via simulation as a function of the diamond distance between the ideal and actual CNOT channels. This work provides a rigorous analysis of simulating the Schwinger model, while also providing benchmarks against which subsequent simulation algorithms can be tested.
An Improved Verification Scheme Based on User Biometrics

Wireless Sensor Networks (WSN) are assemblies of tiny devices that deploy to monitor the environment. These devices come together to accomplish a task. As these devices are not supervised and transmit confidential information, security is a priority. Users provide the flexibility to get data from the requested nodes. To accomplish secure transmission, both communicating parties share some credentials. After authenticating each other, they proceed with imparting data. The previous contribution addresses the same issues. The drawbacks of the previous system are analyzed, suggesting a new proposal. The proposal aims to minimise eavesdropping attacks by 5.28%, improve confidentiality by 8.14%, and reduce energy consumption by 7.8% compared to the previous work.
Generating a Hand Pose Data Set for Vision Based Manual Assembly Assistance Systems

Current assistance systems for manual assembly reduce the efficiency of the worker by being invasive in the workflow. To restore the efficiency and at the same time to maintain the benefits of assistance systems, real time hand pose estimation can be used. However, no suitable data set is available for training such application specific detectors. In the presented work, a data set is generated that allows the use of different work gloves and prepares the overlay of realistic hand textures. We use low cost data gloves for hand pose tracking and a RGBD camera to capture the data set with 30 data points per second. This low cost approach is presented in an application for the manual assembly scenario, although transfer of the method to other scenarios is possible.
THE IMPORTANCE OF THE SPIRITUAL HERITAGE OF EASTERN SCIENTISTS IN THE EDUCATION OF CHILDREN WITH DISABILITIES

The article analyzes the organizational and pedagogical factors for the effective use of the views of the world's scientists on the problem in the education system in the development of children with disabilities.
HATE EMOJI in forensic linguistics expertise: problems of decoding the meaning

The era of the Network society acquires a continuous transformation, constantly changing the emphasis of the ontological and ontic essence of human species homo ciberneticus. However, communication remains fundamental to human existence as a substratum of interpersonal understanding, with its intended consequent effect on the various spheres of the existential paradigm. Language, as the ousia of human consciousness and the process of humanization in general, is a true substance that encodes communicative acts, that in computer being attains a broader problem of decoding. That is why in our research, we explain one of the most popular types of digital communication today: verbal messages using the artificial language emoji and non-verbal texts just with the help of optical signs. The purpose of the article led to the derivation of a hypothetico-deductive theory of allowing emoji approval in forensic linguistics expertise. That theory we have approved in the probable court cases of Ukraine with an appeal to the emoji has already approved in forensic expertise in the global context. After selecting specific emoji from different forensic cases in Europe and the United States, we have implemented an experiment with the creation of an empirical construction: a mock text with the coded contexts using selected emoji. Respondents had to decode emoji based on individual perception and interpretation. The results of the experiment with its subsequent analytical processing demonstrated the possibility and necessity of involving emoji in forensic linguistics expertise as an iconographic or pictographic type, which is relevant to the specificity of global digitization and the organization of digital communication. Taking into account all the verification stages of the data obtained, we have nominated the selected emoji as hate emoji, which are capable of destroying the communicative act and which are a digital correlate of hate speech.
CATS: Crowd-based Alert and Tracing Services for building a Safe Community Cluster against COVID-19

COVID-19 has been causing several pandemic waves worldwide due to its long incubation period and hostile asymptomatic transmission. Society should continue to practice social distancing and masking in public despite aggressive vaccinations until achieving population immunity. However, the existing technology solutions, such as contact tracing apps and social-distancing devices, have been faced with suspicion due to privacy and accuracy concerns and have not been widely adopted. This paper proposes a novel infection management system named Crowd-based Alert and Tracing Services (CATS) to build a safe community cluster. CATS applies social distancing and masking principles to small, focused communities to provide higher privacy protection, efficient penetration of technology, and greater accuracy. We have designed a smart tag for managing social distancing. We also implemented a Machine Learning (ML)-based face mask tracking system to build non-binary Safety Impact Values (SIV).
Mobile-Assisted Language Learning to Enhance College Learners’ Learning Attitudes

Mobile-assisted language learning have received more and more popularity across all levels of education.More and more EFL learners have accepted technology-enhanced language learning.Following this educational technology trend, this present study aims to enhance technological college learners' English vocabulary and collocation learning with the applications of mobile clickers.Mobile clickers are applied to an EFL college classroom for the purpose of gamifying the learning dynamics through question-and-answer activities.Among dozens of clickers, Kahoot! is selected as the target tool due to its easy-to-use functions, world-wide popularity and free registration.The study involved two classes of participants joining in this Kahoot!-assistedEnglish learning.The collected data included the participants' background and their attitudes towards English learning.This study results provided evidence to support that clickers or Kahoot! may play an influencing role to make the learners have more positive attitudes towards or perceptions of English learning.
UPAYA MENINGKATKAN KEMAMPUAN PRONOUNCIATION DENGAN MENGGUNAKAN LAGU PADA SISWA KELAS XI IPS 2 MAN 1 BANYUMAS SEMESTER GENAP TAHUN PELAJARAN 2018-2019

In Indonesia, English has become a common language in everyday life in various sectors such as economy, politics, tourism and others. There are four basic skills in English that must be mastered, namely reading, listening, writing and speaking. And what is no less important in English is the pronunciation of the word or pronunciation, because if the pronunciation is not correct, the meaning will be different from the actual meaning. Mispronunciation of words in English often occurs, as experienced by students of Class XI IPS 2 MAN I Banyumas. This research was conducted on 23 students of class XI IPS 2 with 9 male students and 14 female students. The research data were collected through observation, tests and field notes. Technically, the method used in this research is through English songs. The students were asked to listen to and say a few words in the English song lyrics correctly. The average of all aspects in cycle 1 was 78.70 and cycle 2 was 87.88. Based on this, the use of songs as a learning medium can improve pronunciation skills in English.
Prominent Region of Interest Contrast Enhancement for Knee MR Images: Data from the OAI

Osteoarthritis is the most commonly seen arthritis, where there are 30.8 million adults affected in 2015. Magnetic resonance imaging (MRI) plays a key role to provide direct visualization and quantitative measurement on knee cartilage to monitor the osteoarthritis progression. However, the visual quality of MRI data can be influenced by poor background luminance, complex human knee anatomy, and indistinctive tissue contrast. Typical histogram equalisation methods are proven to be irrelevant in processing the biomedical images due to their steep cumulative density function (CDF) mapping curve which could result in severe washout and distortion on subject details. In this paper, the prominent region of interest contrast enhancement method (PROICE) is proposed to separate the original histogram of a 16-bit biomedical image into two Gaussians that cover dark pixels region and bright pixels region respectively. After obtaining the mean of the brighter region, where our ROI – knee cartilage falls, the mean becomes a break point to process two Bezier transform curves separately. The Bezier curves are then combined to replace the typical CDF curve to equalize the original histogram. The enhanced image preserves knee feature as well as region of interest (ROI) mean brightness. The image enhancement performance tests show that PROICE has achieved the highest peak signal-to-noise ratio (PSNR=24.747±1.315dB), lowest absolute mean brightness error (AMBE=0.020±0.007) and notably structural similarity index (SSIM=0.935±0.019). In other words, PROICE has considerably outperformed the other approaches in terms of its noise reduction, perceived image quality, its precision and has shown great potential to visually assist physicians in their diagnosis and decision-making process.
Design and Development to Face Recognition System by Synthesizing AADHAR Enabled Platform for Online Voting

It’s a web based named as “online voting system” which aims to develop a computerized system to make the election process more secure and user friendly. This system has many features which are generally not available in current days. With the help of this system, user can cast their vote without going to any polling booth; it can save their time and effort. This system can also save money of government which is spent in preparation of election process. This system uses face detection and recognition technology to make this system more secure and safe. Overall this project of ours is being developed to help staff of Election commission of India and also reduce the human efforts.
Evolution of School Textbooks on Computer Science in Russia: Retrospective and Perspective

Trends in the school computer science course are analysed on the basis of its representation in the main school textbooks in Informatics. It is shown that there are a number of core attitudes behind the external multidirectional goals of educational programs in different time periods of the course's existence and the variety of author's solutions.
УДК 37.013.3:929 РОЛЬ І МІСЦЕ ВЧЕННЯ ПРО СИСТЕМАТИЗАЦІЮ В НАУКОВІЙ ПЕДАГОГІЧНІЙ ТЕОРІЇ ТА ОСВІТНІЙ ПРАКТИЦІ:

The article deals with the doctrine of systematization of scientific and pedagogical knowledge, determines its role and place in the theory and methodology of pedagogy as well as educational practice. The author establishes the connection between the influence of the development of the methodological doctrine of systematization in pedagogy on overcoming the modern methodological and information crisis of scientific and pedagogical knowledge. It is the crisis in the systematization of already accumulated scientific and pedagogical knowledge and the predominant orientation of researchers to obtain non-systemic pedagogical knowledge that determines the relevance of methodological awareness of the role and place of the doctrine of systematization.The doctrine of systematization is a relevant and important component of modern methodology of pedagogy; it has systemic features and its structure comprizes knowledge of individual and similar forms of systematization (classification and typology, taxonomy) of scientific pedagogical knowledge having complex and not always unambiguous relationships which need to be further researched.  The article considers the role and place of the doctrine of systematization in the methodology of pedagogy; it also deals with the plurality and multifaceted definitions of the concept of systematization in scientific theory and educational practice, which can claim the role of a universal dialectical method. The results of the application of the historical-biographical approach in the study of Mendelieiev’s biography testify not only to the similarity, but also to the unifying commonality of systematization for scientific activity of scientists and practical educational activity of teachers. This makes it possible to justify the need to actualize the use of adapted to the educational process forms of systematization as scientific methods of cognition in educational practice, teaching and learning.
Pengembangan Business Intelligence Dashboard Puskesmas Pakan Kamis

Pusat Kesehatan Masyarakat (Puskemas) it was a medical services that been shaded by public health office, Puskesmas also has been the first option for middle class Indonesian people it is because of it the cost of the Puskesmas services not high as the Hospital cost services. Puskesmas Pakan Kamis is One of the many that doing the health services activity. The services of Puskesmas Pakan Kamis is based on a subject called Patient. This patient data needs to be manage properly to produce information that can be used as a sign of puskesmas services, reporting sources, as well as supporting decision making. Puskesmas Pakan Kamis has managed patient data using Microsoft Excel in the form of a spreadsheet. However, Puskesmas Pakan Kamis had difficulty in knowing the pattern of disease spread, patient growing patterns, and patterns of medication use. One of the efforts to dealing with this case is by using web-based business intelligence which also using a database to record patient data and by applying the four-step method Kimball will support importan points that are useful for the health center. The dashboard was designed by using PHP programming language and MySQL as the DBMS. The results of the Black Box test conducted show that all features of the system have been implemented and are following the expected results. With the existence of business intelligence, it is hoped that the management can be assisted in dealing with problems related to recording reports, storing patient data, and making decisions in ordering medicines when the disease spread season comes.Keywords: Puskesmas, Medicine Correlation, Website, Apriori, PHP, MySQL
Sistem Informasi Pendistribusian Suku Cadang Industri pada CV. Oilfindo Menggunakan Metode Rational Unified Process

CV. Oilfindo is a company engaged in the supply of oil and gas industry spare parts. CV. Oilfindo works routinely in carrying out mutually supportive assignments in the delivery of spare parts to several consumers in several cities. Based on the interview, the constraints that are found are on time efficiency and slow employee performance. The purpose of conducting this research is to create an Industrial Parts Distribution Information System on the CV. Oilfindo Using Rational Unified Process Method. The methodology used in system development is Rational Unified Process (RUP) methodology which includes 4 stages of work, namely the inception phase, the elaboration phase, the construction phase, and the transition phase. In designing the system, 3 diagrams are used, namely class diagrams, use case and activity diagrams. The results of the application of the Information System The distribution of industrial parts is expected to help employees in facilitating the process of distribution to consumers. Keywords—Information Systems, Distribution, Parts, RUP, Code Igniter
And finally, when we will honor your…

The article tells about little-known scientists and engineers who have devoted their lives to the creation of domestic computer technology. Using the example of creating the Elbrus-KB computing complex, we demonstrate the features of the approach to implementing new ideas. The author also gives an opinion about the great potential of the ideas and capabilities of the Russian engineering school as an example of the revival of the idea of a ternary computer, which was implemented by N.P. Brusnetsov in the 60s of the last century.