Reviewerly/exHarmony huggingface dataset:
Information Security Awareness among Non-Academic Staff in the University of Ibadan, Nigeria

This study applied the established factors from the existing literatures on information security awareness to investigate information security awareness among non-academic staff in the University of Ibadan, Nigeria. The objectives of this study are; to identify the factors that influence information security awareness and to determine the level of information security awareness among non-academic staff. This study employed a survey design. Stratified random sampling technique was utilized to select the respondents for the study. The study participants consist of non-academic staff in the University of Ibadan. A field survey of 300 respondents was carried out using questionnaire as the main instrument. Descriptive statistics was used for data analysis. Findings of this study revealed that information security awareness is significantly influenced by policy of information security, education of information security, knowledge of technology, and non-academic staff’s behavior. Furthermore, findings show that the level of information security awareness among non-academic staff in the University of Ibadan was high. Finally, findings were discussed and recommendations for the future research were also addressed.
Construction of the Framework for Security Review of the Cross-border Data Flow under Cyber Security Law in the Balance of Security and Development

Data localization is highly controversial. Opponents believe that it constitutes a trade barrier and will even undermine connectivity of global Internet. Supporters point out that many countries, including developed countries, worldwide have rules for local storage of In order to bridge differences, this paper abstracts severity model describing local storage of from China and foreign practices of local storage of and constructs a set of the limit theory of local storage of data based on appropriateness and necessity between purpose and means. Based on this theory, this paper examines relevant provisions of Cyber Security Law and gives a basic evaluation. Finally, this paper proposes an overall framework of cross-border security assessment method based on reasonable limit theory of local storage of data.
Analisis Tingkat Kapabilitas Knowledge Management System Information Menggunakan Model Framework Cobit 5 (Studi Kasus Hotel XYZ)

Abstract - Knowledge Management System (KMS) to improve the quality of human resources in an organization by improving communication among employees and to increase skill by transferring knowledge. Knowledge Management System (KMS) is one of many ways to foster a culture of knowledge sharing among individuals and organizations. In this research, the researcher tries to develop a model of knowledge management system suitable for existing condition at the Hotel XYZ run effectively, it is necessary to conduct an evaluation activity by examining the process of managing knowledge possessed by each individual can be transferred to other individuals through the process of knowledge sharing and knowledge presentation management and through Effective management of knowledge is expected to be maintained well so that it can provide benefits to the company. KMS (Knowledge Management System) is main tool for implementation of existing processes in the knowledge management , is necessary to do an analysis to find out the extent of the processes of knowledge level management found in Hotel XYZ at the maturity level of KMS (Knowledge Management System) it affects the performance of employees, the results of the analysis can be expected to be an evaluation material that will have an impact on the company.
Effective DevSecOps Implementation: A Systematic Literature Review

Adopting DevOps means increased collaboration between development and operations teams and faster release cycles through a shift to automation. Using Dev Ops brings with it several advantages in the development of software. Security, however, is often neglected in DevOps due to the fast release cycle. Therefore Dev Sec Ops has emerged as an extension to DevOps that attempts to integrate security with Dev Ops practices, which is not without its challenges. DevOps, and by extension Dev Sec Ops, represents a significant change in the culture, tooling, and processes used in software development. Therefore, when implementing DevSecOps, teams and their organizations need to be aware of the challenges it brings and how to address those challenges for a DevSecOps implementation to be effective. Literature on DevSecOps exists that outlines practices and principles to do this. This paper uses a grounded theory approach to do a systematic literature review of academic literature to find the factors that contribute to an effective DevSecOps implementation. It attempts to reconcile the challenges of DevSecOps with ways of mitigating them and the advantages that a DevSecOps implementation can bring. The paper thus outlines methods of effectively implementing DevSecOps as described in academic literature.
Algorithmic Vulnerability in Deploying Vaccination Certificates in the European Union and China

This article further develops the concept of algorithmic vulnerability. The analysis is built on empirical evidence of the Chinese Health Code System (HCS), compared to similar plans for the “COVID-19 Certificate” in the European Union (EU). Implementing the HCS has shown two-sided regulatory implications: improving social protection (a national strategy, a common mutual-recognition standard, scaled-up public–private cooperation) and increasing risks of social exclusion (non-digital and digital forms of vulnerability). This article argues that algorithmic vulnerability is caused by mismatches between biased databases, unfairly pre-designed algorithms and dynamically changed risk groups in reality in the context of COVID-19 vaccination. It contributes a framework for deploying plans for digital certificates in the EU concerning minimising the social risks associated with algorithmic vulnerability. The framework consists of (1) reinforcing existing vulnerability inherited from non-digital society (eg caused by intersectional factors of race/ethnicity, gender, age and health) and (2) introducing new forms of vulnerability generated by algorithm design and implementation (eg excluding the risk groups of individuals who are un/mis/overrepresented in the databases, such as those defined by nationality plus COVID-19 status).
Peningkatan Kemampuan Mengenal Angka dengan Menggunakan Metode Snowball Throwing bagi Anak

This study aims to determine the ability to recognize the numbers of students in Group A TK Widya Tama Cabak and the use of the snowball throwing method can improve the ability to recognize the numbers of students in Group A TK Widya Tama Cabak Academic Year 2016/2017. The subjects studied were 31 students of group A TK Widya Tama Cabak. Data collection techniques using observation, interview, and documentation techniques. The data analysis technique uses descriptive qualitative and comparative. The research procedure consists of two cycles, namely: cycle I and cycle II, with each of the four stages of each cycle, namely: (1) planning the action (planning), (2) implementing the action (acting), (3) observing ( observing), and (4) reflection (reflecting). The results of the study concluded that: (1) Ability to recognize the numbers of students in Group A Widya Tama Cabak Kindergarten in the 2016/2017 Academic Year before the action was taken, namely at the pre-cycle level was still low. The ability to recognize the number of children included in the BSB and BSH categories in the pre-cycle was only 10 children (32.26%). (2) The use of the snowball throwing method can increase the ability to recognize the numbers of students in Group A TK Widya Tama Cabak for the 2016/2017 Academic Year. This is evidenced from: (a) Increasing the ability to recognize the number of children included in the BSB and BSH categories starting from the pre cycle, cycle I to cycle II, namely: the new pre cycle of 32.26%, the first cycle becomes 64.52% and the cycle II to be 90.32%. (b) Increasing the average value of the ability to recognize the number of children starting from the pre-cycle, the first cycle to the second cycle, namely: pre-cycle of 11.61 which included the Emerging (MM) category, cycle I increased to 13.16 which included the category Developing according to Expectations (BSH) and the second cycle the score increased again to 15.39 and included the Expectation Development Expectation (BSH) category.
Integrative model formation of a musical art teacher’s professional training by means of innovation technologies

The purpose of the research is to determine the effectiveness of the established integrative model of the musical art teacher’s professional training by means of innovation technologies based on a survey of students, in order to reveal the benefits of using the integrative model in educational institutions. The research methods: comparative analysis; systematization; generalizations, surveys. It has been established that the implementation of an integrative model of the musical art teacher’s professional training by means of innovation technologies demands from students to conduct the preliminary investigation of the topic and its basic understanding, as well as comprehension of how all the “parts” of the topic correlate. As a result of the research conducted, it has been revealed that the integrative model formation of musical art teacher’s professional training by means of innovation technologies is a complex process due to the abundance of variables that should be taken into account both in the curriculum and at the individual level.
PREDICTING THE BITCOIN PRICE USING LINEAR REGRESSION OPTIMIZED WITH EXPONENTIAL SMOOTHING

Bitcoin is one of the most popular cryptocurrencies today. In the current pandemic conditions that hit the world due to Covid-19, bitcoin is expected to be used as an investment when the level of economic uncertainty is high. In this study, the data used is bitcoin price data which is included in time series data. One of the commonly used methods for prediction in time series is the linear regression method. And to be able to develop the prediction results, a data transformation technique is used using the popular method, namely exponential smoothing. In the exponential smoothing method, optimization of the alpha parameter is carried out to be able to boost the prediction results from linear regression. And from the experimental results, it is evident that the optimization of the alpha parameter in exponential smoothing is able to improve the prediction performance of linear regression with the results of the comparison of RMSE with the t test which has resulted in significant differences.
Criminal Detection through Face Recognition

Abstract: Face acknowledge is a champion among the most troublesome subjects in PC vision today. It has applications running from security and perception to delight destinations. Face affirmation writing computer programs are significant in banks, plane terminals, and various associations for screening customers.Germany and Australia have passed on face affirmation at edges and customs for Automatic Passport Control. Human face is a unique dissent having significant degree of change in its appearance which makes stand up to affirmation an irksome issue in PC vision. In this field, exactness and speed of ID is a guidelineissue. Various challenges exist for defy affirmation. The force of the system can be hindered by individuals who change their facial features through wearing shaded contact central focuses, growing a mustache, putting on genuine make-up, etc. Moral concerns are also related to the way toward recording, mulling over, and seeingcountenances. Various individuals dont support of perceptionstructures which take different photographs of people who have not endorsed this action. The goal of this paper is to surveydefy disclosure and affirmation methodology and offer an allout response for picture based face area and affirmation with higher precision, better response rate and a basic development for video perception. Game plan is proposed considering performed tests on various face rich data sets similar to subjects, position, sentiments and light. Index Terms: Face acknowledge, Security and perception, Automatic Passport Control,Malware detection, facial features, face rich data sets.
Meningkatkan Prestasi Belajar Mahasiswa Menggunakan Model Pembelajaran Kolaboratif dengan Pendekatan Blended Learning

Teaching-learning strategy (TLS) course learning activities are carried out in shifting as a result of the Covid-19 Pandemic. Shifting learning activities result in a reduction of the duration of face-to-face so that the need for students to study theory and carry out practices is not well accommodated. This has a direct impact on the decrease in student learning achievement. The purpose of this research is to improve student learning achievement and accommodate student needs using a collaborative learning model with a blended learning approach. Collaborative learning models are implemented in every learning activity both face-to-face and online. The blended learning approach is presented in learning activities that are learning theory done face-to-face while the practice is done online. This research was a class action study and conducted in three cycles. The results showed that there was an improvement in student learning achievement for each cycle. The application of learning models with this approach can accommodate the needs of students to learn theory and practice. It can be used as an alternative solution during the pandemic era with shifting learning activities.
end of all taxation and censorship using blockchain technology

Large scale censorship and control over the free flow of information on the internet that was already implemented on a large scale in many authoritarian countries in China in the past few decades has started to work its way through the more liberal and western countries including India, US etc. especially in the last decade raising concerns over privacy issues and the possibility of a dystopian future of tyrannical governments empowered by the use of digital surveillance technology to increase their power and make them essentially undefeatable on a level unforeseen in the history of humanity among many great thinkers in our era. In this paper, we wish to outline a method to not only combat but to completely eliminate both the possibility and current usage of all censorship and control over flow of information on the internet, hence heralding an era of free flow of information throughout the world and destroying practically all mind control that tyrannical governments can hold over their people, in essence ending the era of propaganda and tyranny from the face of this earth forever, using blockchain technology.
Students’ Multilevel Artistic and Pedagogical Communication Mastering

The article substantiates the feasibility of introducing student theatre in the professional training of future teachers on the basis of generalizing the experience of theatre pedagogy. The student theatre is considered as a form of art and pedagogical activity, oriented on personal development, self-development, and improvement of creative abilities of future teachers, formation of professional self-sufficiency by means of multilevel artistic and pedagogical communication in the system of higher pedagogical education. The characteristic features of the phenomenon of “artistic and pedagogical communication” are analysed and considered in two conceptual meanings: artistic and pedagogical. The multi-level artistic and pedagogical communication of the student theatre is defined as the interdependent process of professional training of future teachers, which integrates the internal and external interaction of subjects of artistic and creative activity. In this regard, the multi-level artistic and pedagogical communication of the students' theatre participants is presented as a consistent acquirement of role-playing in the process of certain levels of artistic and pedagogical communication. The characteristics of the levels of artistic and pedagogical communication are divided into: contemplative-oriented, creative-performing, artistic-active, and art studies. The article gives a determination of criteria and corresponding levels of mastering of multilevel artistic and pedagogical communication by future teachers.
A Webometric Analysis on Websites of Some Selected Tertiary Institutions in Yobe State, Nigeria

Web presence analysis is a well-known area within webometrics.It usually uses counts of total in-links involving sets of web sites.These total in-links counts are obtained from commercial search engines called Goggle being the only alternative for some studies.URL citation counts and Title mention counts total in-links of some selected tertiary institutions in Yobe state are compared as a web-based indicator.Both URL citation and Title Mention indicates that there is a relationship between their webometric results.The results further showed that there is a relatively lower than expected level of total in-links in some institutions using both URL citation and Title Mention.
Science Management Challenges Facing in the Industrial Revolution Era 4.0

Science Management is now a challenge in facing the industrial era 4.0 where organizations and the industrial world are currently experiencing a more adaptive approach in viewing organizational theories in the field of management. The purpose of this research is to find out how big the impact of technological developments is on the development of science, especially management. This research was conducted with a qualitative descriptive approach by looking at the theories of management science with a case approach of the industrial era 4.0. This study uses secondary data contained in books, white papers, journals, articles which is the basis for a literature review. The results show that the role of organizational members, especially stakeholders, is required to study and understand all management theories produced by various streams and concepts or approaches that are most suitable for dealing with simple and complex problems and, this approach describes the current conditions. conditions and management positions in the future.
Developing Subjectivity in Future Primary School Teachers

The article formulates theoretical and methodological conditions for developing subjectivity in future primary school teachers in Ukraine. Therefore, it analyzes the Ukrainian experience of teacher training for primary school, as well as the aspects of the primary school teachers’ subjectivity in relevant scientific discourse. Besides, the article contains theoretical generalizations on the issue in question. Research methods include induction and generalization, prognostic methods in combination with modelling of principles of the educational process and sociological methods (used to identify students’ motivation towards teaching). The article proves that Ukraine as “a young democracy” must consider new conditions associated with significant socio-cultural, socio-economic and other changes in the society. It is so because they determine new requirements for the professional training of future primary school teachers. On the other hand, the analysis of relevant literary sources indicates insufficient attention to psychological, methodological, social and other aspects of teacher’s subjectivity. The authors of the article offer the updated definitions of key concepts on the development of teacher’s subjectivity. Also, they summarize theoretical and methodological principles of primary school teachers’ subjectivity in Ukraine and justify the new educational conditions for developing such subjectivity. The novelty of the research lies in its addressing the issue of developing subjectivity in future primary school teachers under the realities of Ukrainian education, which is still on the path of development.
REKOMENDASI BENGKEL SEPEDA MOTOR TERBAIK DIKOTA MEDAN BERDASARKAN SURVEY KEPUASAN PELANGGAN DENGAN METODE WEIGHTED SUM MODEL (WSM) BERBASIS GIS

The rapid growth of the number of vehicles in the city of Medan is increasing, the growth in the number of vehicles (motorcycles) is proportional to the increase in the number of workshops, both official workshops (official dealers) and unofficial workshops that serve vehicle repairs and sell vehicle spare parts. With the many locations of motorcycle repair shops in the city of Medan, sometimes it makes workshop service users feel confused to find the best workshop location according to the desired criteria. This will cause problems for motorcycle repair service users because not all of them know the name of the workshop and its address, especially for service users who live outside the city of Medan. The purpose of this research is to create a Decision Support System to help repair shop service users make the right decisions. The right method to make it easier for users to choose a motorcycle repair shop is to use the method Weighted Sum Model (WSM) with the help of Google Map. By applying the Weighted Sum model method, the system built will provide recommendations for the best motorcycle repair shops to potential users of repair services by displaying the location geographically using a Google Map.
Pattern Inversion as a Pattern Recognition Method for Machine Learning

Abstract Artificial neural networks use a lot of coefficients that take a great deal of computing power for their adjustment, especially if deep learning networks are employed. However, there exist coefficients-free extremely fast indexing-based technologies that work, for instance, in Google search engines, in genome sequencing, etc. The paper discusses the use of indexing-based methods for pattern recognition. It is shown that for pattern recognition applications such indexing methods replace with inverse patterns the fully inverted files, which are typically employed in search engines. Not only such inversion provides automatic feature extraction, which is a distinguishing mark of deep learning, but, unlike deep learning, pattern inversion supports almost instantaneous learning, which is a consequence of absence of coefficients. The paper discusses a pattern inversion formalism that makes use on a novel pattern transform and its application for unsupervised instant learning. Examples demonstrate a view-angle independent recognition of three-dimensional objects, such as cars, against arbitrary background, prediction of remaining useful life of aircraft engines, and other applications. In conclusion, it is noted that, in neurophysiology, the function of the neocortical mini-column has been widely debated since 1957. This paper hypothesizes that, mathematically, the cortical mini-column can be described as an inverse pattern, which physically serves as a connection multiplier expanding associations of inputs with relevant pattern classes.
Using Flashcards to Increase Grammar Mastery of MTs Students in Kutai Kartanegara

This study reports the difference of using flashcards and textbooks in teaching grammar for junior school students. The study aimed at examining the hypothesis that read: “flashcards do not improve grammar mastery.” This study used an experimental of post-test only design, implementing an experimental group that received flashcards for the treatments of learning grammar, and the controlled group that received textbooks for learning grammar. The hypothesis testing at p=0.05 and n = 48 indicated that Ho was rejected and the result was significant (t-value = 3.377 and t- table = 1.68). This means flashcards significantly improved grammar mastery. In other words, flashcards as media of teaching grammar is superior than using textbook.