Reviewerly/exHarmony huggingface dataset:
Music Technology

The existence of an artist cannot be separated from the work he makes, but these works will be recognized and can only be enjoyed by showing them to the public or the general public.In the midst of rapid technology and the Covid 19 pandemic, a new habit has emerged in performing arts through digital media.The purpose of this paper is to study the results of training activities on the use of the Contacts 6 application for music artists to have the ability to utilize technology as an alternative media for creating music.The data was collected through unstructured interviews and observations of the training activities of the Contact Application 6 of the artists who were the trainees.The results of the study show that the vocational training program carried out on artists by utilizing the Kontakt 6 application technology is able to provide knowledge and skills to turn music from musical instruments and Sundanese music parameters into a more global music format known as "think locally act globally".The focus of the abilities trained in the activity is the ability to create works and the ability to publish these works either directly or through digital performances.This training program is very important to carry out to prepare the knowledge and skills of artists in the global competition in the music world in the future, especially in the current Covid 19 Pandemic era.
Graph Convolution Network for Person Re-identification

This paper introduces the application of Graph Convolutional Network (GCN) for person re-identification (re-ID). Specifically, GCN approaches for person re-ID are divided into two groups including global features and local features. We explain the motivation and implementation details for each approaches, and compare the GCN approaches with the Convolutional Neural Network (CNN) methods. Experimental results demonstrate the effectiveness of the GCN approaches.
Developing Electrical Magnetic Textbook Based On Technological Pedagogical Content Knowledge (TPCK)

Electrical magnetic is a compulsory subject in the physics education program. One of the learning outcomes and graduates in the curriculum is to be able to analyze subject matter (pedagogical content knowledge). Researcher's observations during giving lectures on magnetic electricity showed that students paid less attention to the importance of understanding on the relationship between learning outcomes and teaching material during lectures. Thus, this phenomenon is appointed as one of the lecture evaluations in the study program. The lecture’s evaluation results in a recommendation to develop textbooks that are adjusted in learning outcomes and graduates that refer to the curriculum of the physics education program. It is not enough to stop here, the problem findings continue for online learning related to Work From Home policies during the pandemic. This of course requires the availability of references that can be open accessed. Hence, the researchers then attempted to develop electrical magnetic textbook based on PCK (pedagogical content knowledge) which contained material content and material content analysis according to learning outcomes and graduates in the curriculum of the Physics Education. This study aims to : (1) determine the feasibility of electrical magnetic textbook based on PCK according to experts. (2) determine the responses of students after using electrical magnetic textbook based on PCK. The research method uses research and development design by gathering information stages and references, designing, developing, product, validating, and revising the product. The research was conducted in 2020 in the physics education study program IKIP PGRI Pontianak. Data collection techniques are in the form of indirect communication techniques. Overall, electrical magnetic textbook based on PCK have been produced. The validation results show that textbooks have an average validation score of 77.77% with Eligible criteria. The students’ responses analysis show that textbooks developed have an average score of 78.52% with high criteria. After the revision, the textbook was presented with an online ISBN and open access on the online media
A video steganalysis method based on coding cost variation

Aiming at the problems existing in existing steganalysis algorithms, this article proposes Motion Vector Coding Cost Change video steganalysis features based on Improved Motion Vector Reversion-Based features and Subtractive Probability of Coding Cost Optimal Matching features based on Subtractive Probability of Optimal Matching features from the perspective of the change of coding cost. Motion Vector Coding Cost Change features can be well consistent with the coding cost before recoding by analyzing the sub-pixel coding cost of recoding. By counting the sub-pixel coding costs of motion vectors before and after video recoding, the Sum of Absolute Difference values of motion vectors instead of predicted residuals are applied to steganalysis and detection, and the steganographic algorithm based on motion vectors is effectively detected. Experiments show that Motion Vector Coding Cost Change features have higher detection accuracy than Add-or-Subtract-One, Improved Motion Vector Reversion-Based, and other typical features in various steganography methods, and Subtractive Probability of Coding Cost Optimal Matching features have higher detection effect and better robustness than Subtractive Probability of Optimal Matching features.
Extending the LRM Model to Integrating Resources

Integrating resources are distinct in that they change over time in such a way that their previous content is replaced with updated content. This study examines how integrating resources can be modeled using the entities and relationships of the IFLA Library Reference Model (LRM) and clarifies how they can be identified. While monographs have been extensively analyzed, integrating resources have received very little attention. Applying the model unmodified to integrating resources is neither practical nor theoretically sound. With the addition of two proposed relationships, the model can be extended to accommodate the diachronic relationship intrinsic between expressions and manifestations exhibited by integrating resources.
The Use of Interactive Learning Media for Teachers in Rural Areas

Learning media is a tool or means that can facilitate delivery of messages from a learning resource to students. Interactive learning media need to be used by teachers so that the learning process runs well and is attractive to students. Teachers in rural areas still use conventional learning media. They still use simple media made of thick card and simple power point. There is no creation and innovation in it. The research method in this study is descriptive qualitative. Fifteen teachers from the Al Ahliyah Al Islamiyah madrasa, South Tapanuli. They are teachers who teach different subjects, such as Indonesian, Economics, Natural Sciences, Social Sciences, Chemistry, Information Communication Technology, and Mathematics as sources of research data. The purpose of this study was to explain the use of interactive learning media slide master by teachers in rural areas. Data collection techniques using observation, documentation and interviews. The validity of the data used triangulation techniques. Data analysis techniques using techniques of Miles and Huberman. The results obtained from this study indicate that teachers from various different subjects have used interactive learning media properly and correctly. This is based on the achievement of indicators on interactive learning media. And this has an impact on increasing students' learning achievement. And this has an impact on increasing students' learning achievement.
Mineral Chemistry and metamorphic evolution of the Late Neoproterozoic metabasites of Do-Chah metamorphic - igneous complex (SE Shahrood)

Mineral Chemistry and metamorphic evolution of the Late Neoproterozoic metabasites of Do-Chah metamorphic - igneous complex (SE Shahrood)
The Impact of a Didactic Strategy using Technology to Strengthen the Learning of Mathematics

The didactic strategy of this study consisted of the implementation of virtual practices for learning Mathematics at the university level. The objectives established to evaluate the impact of the strategy were to determine the contribution of these virtual practices and identify their effect on students’ academic performance. The strategy was carried out in the course Fundamentals of Mathematics, for first semester students in the Engineering programs at the Sonora Institute of Technology and 1,144 students participated between August 2018 and May 2019. The results proved that the students who participated scored higher in the course than those who did not participate. A dependency ratio was also found between the variables of students’ final grades in Fundamentals of Mathematics and the number of virtual practices they had carried out. The conclusion is that the didactic strategy significantly improves the passing rate and academic performance in the subject of Mathematics for which it was implemented.
ANALISIS KESALAHAN MORFOLOGI DALAM PENULISAN MAKALAH MAHASISWA HUKUM EKONOMI SYARIAH IAIN SURAKARTA

This research aims to find the forms of language errors in the making of papers by students of Islamic Economics Law (HES), in particular class D in the semester VI of the 2019 academic year at the State Islamic Institute of Surakarta. To reach this goal, we employ a combination of descriptive and qualitative methods. We focused on the written errors in the linguistic field of morphology. The data were obtained through the note-taking method. They were then analysed was by making groups of the data, proceed with a presentation of the data, and verification of the data. The results of the study show 13 kinds of errors in the field of morphology. They are the writing the prefix di- that should be merged into non-merging and vice versa, the writing of the prefix ber-, the writing of prefix me-, the writing of the prefix ter-, the use of suffix -nya, the use of suffix -kan, the combination of the prefix di- with suffix -kan, the writing of prefix me- in combination with suffix -i, the use of prepositions, the writing of the simulphic me -kan, the use of confix ke-an, and the writing of confix per-an. These results indicate that students must continue to learn the rules in scientific writing that refer to the General Indonesian Spelling Guidelines (PUEBI).
A Genetic Algorithm based task scheduling procedure for Cost-Efficient Cloud Data Centers

In the current situation, Cloud computing cut itself as a developing innovation which empowers the association to use equipment, programming and applications with no forthright expense over the internet space.The main provocation for the cloud provider is the means of providing productively and adequately the hidden computing assets like virtual machines, arrange, capacity units, and transmission capacity and so forth ought to be overseen with the goal that no computing gadget is in under-usage or over-use state in a unique domain.A decent task scheduling method is constantly required for the dynamic assignment of the task to evade such a circumstance.Through this paper we are going to introduce the Genetic Algorithm based task scheduling procedure, which will disperse the heap adequately among the virtual machine so the general reaction time (QoS) ought to be insignificant.An examination of this Genetic Algorithm based task scheduling procedure is performed on CloudSim test system which shows that, this will beat the current strategies like Greedy based, First -Come first -Serve (FCFS) methods.
Blockchain Technicality to Improve Management Experience in Higher Education System: The Case of Qassim University, Saudi Arabia

ABSTRACT This research aims to conduct a predictive study for determining the technological and systematic returns of applying blockchain technicality to improve management experience sharing at Qassim University. The study is quantitative in nature and uses descriptive research design. The population consists of teaching staff members and administrative employees at Qassim University in 2019-2020. The research sample is selected using the random sampling method to achieve the targeted sample size of 100 individuals. The study is quantitative in nature and uses descriptive research design. Results show a huge technological return of applying blockchain technicality to improve management experience sharing in the higher education system at Qassim University. Applying blockchain technicality is recommended because of its vast technological and systematic returns in improving management experience sharing in the Saudi higher education system in general and Qassim University in particular.
Seleksi Penerima Bantuan Pangan Non Tunai di Desa Menggunakan Metode Naïve Bayes dan Simple Additive Weighting

Poverty is one of the problems experienced by some developing countries, including Indonesia. There are many ways to mitigate poverty, for example, Indonesian government policy overcome this situation by Non-Cash Food Aid Program (BPNT). The electoral candidate for BPNT in the rural area is carried out by Poverty Reduction Team (SATGASKIN). To avoid uneven and untargeted assistance with the process, a system is capable for addressing the matter. The selection methods in this research were Naive Bayes and Simple additive weighting. The purpose of this research was to design and build an application that provided convenience to SATGASKIN in determining the eligibility of prospective beneficiaries and prioritizing beneficiaries. As a result of the study, the system can be used by SATGASKIN to help determining the recipients’ eligibility with 85% accuracy value, 85.71% Precision, and 92.31% Recall. Naive Bayes and Simple Additive Weighting (SAW) methods reached 100% according to the results by manual calculations.
Probabity distributions of the academic performance of online courses's students as a tool for assesment of the quality of control materials

Digitalization of higher education is accompanied by significant changes in the usual way of University life, such as: an increase in the number of students simultaneously studying one course, a reduction in personal contact between teachers and students during training, an expansion of the set of tools for developing courses, more complex approaches to evaluating courses, etc. These changes require new approaches to organizing the activities of all participants in the educational process – students, teachers, authors of online courses, and administrative staff of the educational institution. The scale of the problem statement requires its decomposition and solution in parts. The paper considers the problem of assessing the control materials for online courses, arising in processes of the digital transformation of education. A model for evaluation of control materials and tests on the base of the probability distributions analysis of students' academic performance, developed using the mathematical apparatus of the theory of Markov processes, is proposed. As indicators for the analysis and assessment of the quality of control materials, the probabilities of transitions between groups with different academic performance and asymptotic stable probability distributions of academic performance were chosen. As an example, these indicators were calculated for four online courses of the Ural Federal University. A comparative analysis and conclusions were made regarding the complexity of the courses materials. The possible application of the proposed indicators by various participants in the educational process is discussed. Considered in the work group indices – the probabilities of transitions between groups of progress and sustainable distribution groups progress characterizing the student body, and control and measuring materials of the online course can be useful for students choosing courses for individual educational trajectories, the authors of courses, making decisions on modifications to course materials, managers of educational programs, selecting courses for their programs.
The Effect of Classes through Google Classroom due to COVID-19 on Outcome-Based Nursing Education

This study was conducted to develop and evaluate the impact of education through Google Classroom on outcome-based nursing education such as critical thinking, problem-solving ability, self-regulated learning ability, and academic major satisfaction with the face-to-face instructional closure due to COVID-19.The methodology used in this research is an quasiexperimental study of a group of pretest-posttest design, which was designed to check for differences before and after the intervention through Google Classroom to the treatment group.For a total of six weeks from March 16, 2020, to April 24, 2020, H University, located in J city, has taught eight nursing courses in the first, second, third, and fourth grades through Google Classroom.The collected data were analyzed with descriptive statistics and paired t-test using the SPSS WIN 23.0 program.The effects of education with Google Classroom on critical thinking ability, problem-solving ability, self-regulated ability and academic major satisfaction were statistically significant as follows: critical thinking ability (t =,-3.48 p =).000), self-regulating learning ability (t=-3.35,p=.001), problem-solving ability (t=-3.49,p=.001), and academic major satisfaction (t=-2.81,p=.016).The above findings confirmed that applying Google Classroom to nursing education can have a positive impact on critical thinking, problem-solving ability, and self-regulated learning ability among nursing students, and increase academic major satisfaction.
Peningkatan Kemampuan Peserta Didik Kelas IV SD Negeri 2 Wates Kulon Progo Semester I Tahun Pelajaran 2018/2019 dalam Menyebutkan Nama dan Tugas Malaikat Allah Menggunaan Metode Smart Games

The success of the teaching and learning process in the classroom is determined by the learning strategy. Without being implemented through the right strategy, the components of teaching and learning process will not have meaning in achieving goals. Therefore, each teacher will be required to implement certain strategies or methods in the implementation of learning. The aim of this study is to improve thinking skills of the student achievement after the implementation of learning strategies. This research uses action research as much as three rounds. Each round consists of four stages: design, activity and observation, reflection, and refinement. The targets of this study were grade IV students. The data obtained were in the form of test results, observational sheets of teaching and learning activities. From the results of the analyst found that student achievement has increased from cycle I to cycle III namely, cycle I (68.00%), cycle II (80.00%), cycle III (92.00%). The conclusion of this research is the smart games method and the make a match type of cooperative learning can have a positive effect on student learning motivation, and this learning model can be used as an alternative to PAI learning.
Transformation of university strategies in the digitalization of the educational space

Object: is to analyze the strategy of universities in the context of the digital economy, where the emphasis is on transforming the strategy of universities in the field of their interaction with the state and the business community in the context of digitalization.Methods: research methodology is a set of methods, mechanisms, principles, measures to improve the efficiency of development and use of new information and communication technologies, which are a prerequisite for the further development of education and digital pedagogy, in the implementation of an effective information educational environment, which is the basis for the development of any university.Findings: authors for such indicators as the cost of services rendered and goods sold, produced on their own by the universities of the Republic of Kazakhstan and the internal costs of R&amp;D in the Republic of Kazakhstan, hypothesized that there is a connection between: the total costs of ICT and the cost of services provided by the universities of the Republic of Kazakhstan ; ICT expenditures and scientific R&amp;D expenditures in the Republic of Kazakhstan.Conclusions: based on the conducted regression analysis, the author of the article concluded that:1) with an increase in internal R&amp;D costs by 1% of its average level, the total costs of ICT will increase by 1.342% of their average level, with the cost of services rendered and goods sold by themselves produced by the universities of the Republic of Kazakhstan unchanged;2) with an increase in the cost of services rendered and goods sold, produced on their own, by the universities of the Republic of Kazakhstan by 1% of their average level, the total cost of ICT will increase by 0.025% of its average level, while the volume of internal R&amp;D costs remains unchanged.
Secure Speaker Recognition System Using Homomorphic Encryption

The ability to store and operate on cloud data provides flexibility and reduced hardware needs, but it has the disadvantage of a possible loss of data privacy. Homomorphic encryption solves this problem allowing operations on encrypted data to be performed, while maintaining its confidentiality. In this paper we focus on the introduction of homomorphic cryptosystems within neural networks. The main contribution is an implementation of a speaker recognition system whose security is based on the principles of homomorphic encryption. The application uses a convolutional neural network to classify encrypted spectral samples and it achieves an accuracy of over 99.5%. Moreover, we test different approximations for transfer functions analyzing time and memory consumption along accuracy.
ANALISIS PROBLEMATIKA PEMBELAJARAN BAHASA DAN SASTRA INDONESIA BERBASIS DIGITAL DI MASA PANDEMI COVID-19

The presence of Covid-19 has affected various aspects of life around the world. One aspect that is greatly affected by this virus is the aspect of education. Digital-based distance education is one of the policies carried out by the government in Indonesia so that education continues. However, in the actualization of digital-based learning, there were many complaints from various groups, especially from students. The purpose of this study was to analyze the problems of digital-based learning during the Covid-19 pandemic. The object used as a source of data analysis in this study is the problem of learning Indonesian language and literature. This research was conducted using a qualitative descriptive method, which describes the problems experienced by students when participating in digital-based Indonesian language and literature learning. The results of this study indicate that digital-based learning problems are found from various aspects, both from lecturers, students, and aspects of the digital-based learning media used. Description of digital-based learning problems during the pandemic as a result of this research is very useful for the development of teaching creativity and it can be concluded that various aspects of digital-based learning still need to be improved and developed.