Reviewerly/exHarmony huggingface dataset:
Pengembangan Aplikasi Belajar Online Berbasis Web Menggunakan Waterfall

In this pandemic era, face-to-face learning cannot be done because the transmission of the virus is very dangerous and after all learning activities must continue, to improve the quality of education in Indonesia, therefore in this sophisticated era we must make the best use of technology for the wrong teaching and learning activities. the only way is by holding it online, but not all schools carry out learning activities with technology, there are still many who do conventional learning such as learning activities in school. The benefit of implementing online learning methods is to make it easier for teachers and students in terms of learning activities. The analysis method used is literature study. design methods that do use the concept of software engineering.
Canonical polyadic decomposition and deep learning for machine fault detection

Acoustic monitoring for machine fault detection is a recentand expanding research path that has already provided promisingresults for industries. However, it is impossible to collectenough data to learn all types of faults from a machine. Thus,new algorithms, trained using data from healthy conditionsonly, were developed to perform unsupervised anomaly detection.A key issue in the development of these algorithms isthe noise in the signals, as it impacts the anomaly detectionperformance. In this work, we propose a powerful data-drivenand quasi non-parametric denoising strategy for spectral databased on a tensor decomposition: the Non-negative CanonicalPolyadic (CP) decomposition. This method is particularlyadapted for machine emitting stationary sound. We demonstratein a case study, the Malfunctioning Industrial MachineInvestigation and Inspection (MIMII) baseline, how the use ofour denoising strategy leads to a sensible improvement of theunsupervised anomaly detection. Such approaches are capableto make sound-based monitoring of industrial processes morereliable.
COMPARISON OF DECISION TREE, NAÏVE BAYES, AND NEURAL NETWORK ALGORITHM FOR EARLY DETECTION OF DIABETES

Diabetes mellitus is included in the top 3 most deadly diseases in Indonesia. Based on WHO data in 2013, diabetes contributed 6.5% to the death of the Indonesian population. Diabetes is a chronic disease characterized by high blood sugar (glucose) levels that exceed normal limits. In the health sector, historical medical data can be processed to extract new information and can be used for decision-making processes such as disease prediction. This study aims to classify predictions for early detection of diabetes in order to obtain accurate results for decision making. The data used are historical data on hospital disease patients in Sylhet, Bangladesh in the form of a diabetes dataset from the UCI Repository. The algorithms used are Decision Tree, Naive Bayes, and Neural Network. Then the three methods are compared using the Rapidminer tools. The measurement results are 90% accuracy with Decision Tree, 80% with Naive Bayes, and 70% with Neural Network. So that the best algorithm is obtained, namely the Decision Tree for predicting early detection of diabetes. Rule in the form of a decision tree generated from the Decision Tree is used for input or ideas for decision making in the health sector for diabetes.
The use of Digital Technologies in the System of Distance Education: Foreign Experience and Kazakhstan

In the process of distance education, the main role is given to digitalization, which essentially changes the methodology and algorithm in the learning process. This is especially true in the higher education system, where online courses, trainings and other innovative teaching methods are common in the practice of training. In modern conditions of obtaining knowledge and training specialists, innova- tive approaches to achieving digital literacy, mastering the key competencies of the digital economy are required.&nbsp; The purpose of the research in the scientific article proposed by the authors is to analyze current trends in the use of digital technologies in the system of distance education (DO); based on the study of foreign and domestic experience, to identify the pros and cons in the field of distance learning in the context of the transition to digital format. The programs and projects implemented by state bodies in the field of distance education are fo- cused on the transformation of the entire technological process of education and training. All this comes down to the training of highly qualified specialists of the innovative formation that meet the new require- ments of the digital economy. The article also notes the negative consequences of the current trend involving the distance educa- tion system. Thus, modern society will have to cope with such problems as the need to address the issues of adapting the educational system to the digital environment, the reduction of traditional employment markets instead of other areas of training, which is accompanied by the presence of ethical aspects of the use of digital technologies, the vulnerability of human rights in the digital space, the growth of cy- bercrime, and others. In response to these challenges, the tasks of organizational and legal regulation of the education system, which has switched to the distance learning mode, come to the fore. To identify problems and recommendations, a sociological survey was conducted among respondents studying in this mode be- fore, as well as the opinions of experts dealing with the optimization of the educational process in the context of the use of digital technologies were systematized. Key words: on-line education, digitalization, RK, distance learning (DL), mass open online courses( MOOCs), digital technologies of educational programs, digital literacy, information security, graduates, information and communication technologies (ICT).
The Relationship between Library Facilities and Library Services with Reading Interest of Class IV Students

This research aims to study the correlation between library facilities, library service and Grade IV Elementary School students reading interest. This study uses correlative type of research. The sample is taken from students grade IV in elementary school, Gugus Cakra, Ngaliyan sub-district, Semarang City with Simple Random Sampling technique. The data is collected using polls, interviews, observations, and documentation. The data is analyzed using some techniques including prerequisite tests for analysis and final data analysis. The result shows that the correlation between library facilities and reading interest acquired Rvalue 0.628. The correlation between service libraries and reading interest acquired Rvalue 0.625. Relation of library facilities and service libraries with the interest of reading students obtained a value of 0.716.
PSYCHOLOGICAL FACTORS AND CONDITIONS OF FORMATION OF A COMPETENT FUTURE TEACHER

The article analyzes the psychological factors and conditions of becoming a competent future teacher. It is stated that professional competence is formed, developed, manifested and deepened. This understanding is extremely important for creating a model of a competent graduate of higher education in the field of education and self-study, development and self-development, education and self-education, the formation of criteria for assessing the achievements of the educational process, healthy teaching of future teachers. It is noted that the competence of the teacher is considered as a system of internal mental properties and states of the teacher's personality, his readiness to carry out professional activities and the ability to perform the necessary actions. Described and highlighted two types of competence: professional and psychological. It is emphasized that the psychological and pedagogical approach in the structure of professional competence of a teacher is divided into four blocks; professional knowledge, professional skills; professional positions; teacher's attitudes and personal characteristics that ensure the teacher's mastery of professional knowledge and professional skills. It is argued that the prospects for higher pedagogical education include a gradual transition from explanatory-reproductive type of education to creating optimal conditions for intellectual development of students, creative application of acquired knowledge, mastering the methods of independent cognitive activity, awareness of the need to constantly develop and improve. The future teacher must acquire sufficient skills of independent work, the ability to rationally plan their working hours and take an active position in teaching. The leading factors and conditions providing formation of the competent future teacher to pedagogical activity are offered. It is stated that the relevant components in the structure of training of future teachers will contribute to the mastery of a full healthy pedagogical activity by a student-teacher.
Improved Performance of Water Supply System Sawah Liek and Tungku Sadah PDAM Kota Padang Panjang

Sawah Liek and Tungku Sadah have increased turbidity during the rainy season, 629 NTU. Sawah Liek and Tungku Sadah are 845 m and 888 m above sea level and flow by gravity at Sungai Andok Reservoir, 802 m. Sawah Liek has a production of 5 l/s for 428 customers and Tungku Sadah 10 l/s for 2,806 customers. One of the causes of turbidity fluctuation during rain is planting activities which degrade the area of land cover, increase runoff and minimize infiltration into the area that the flow from the source decreases every year. Water consumption for customers of Sawah Liek is 202 l/person/day and Tungku Sadah 62 l/person/day is smaller than the category of small towns of 130 l/person/day. The installed slow sand filter is unable to handle the turbidity during the rain in exceeds of 50 NTU. The maximum produced by the installed slow sand filter is 2.67 l/s. Changes in the function of the filter installed at a high-speed sand filter can increase production to 26.7 l/s and overcome turbidity fluctuations can be accomplished by improving the system with a complete treatment facility or an incomplete processing facility consisting of a screen, a large chamber, coagulation, and flocculation, filtration and disinfection.
Summarizing Learning Materials Using Graph Based Multi-Document Summarization

The learners and teachers of the teaching-learning process highly depend on online learning systems such as E-learning, which contains huge volumes of electronic contents related to a course. The multi-document summarization (MDS) is useful for summarizing such electronic contents. This article applies the task of MDS in an E-learning context. The objective of this article is threefold: 1) design a generic graph based multi-document summarizer DSGA (Dynamic Summary Generation Algorithm) to produce a variable length (dynamic) summary of academic text based learning materials based on a learner's request; 2) analyze the summary generation process; 3) perform content-based and task-based evaluations on the generated summary. The experimental results show that the DSGA summarizer performs better than the graph-based summarizers LexRank (LR) and Aggregate Similarity (AS). From the task-based evaluation, it is observed that the generated summary helps the learners to understand and comprehend the materials easily.
Estimation of general complexity of the procedure for constructing a binary logical classification tree for an arbitrary case

We propose an upper estimate of the complexity of the binary logical tree synthesis procedure for classifying an arbitrary case (for conditions of weak and strong separation of classes in the training sample). The solution to this question is of a fundamental nature, regarding the assessment of the structural complexity of classification models (in the form of tree structures) of discrete objects for a wide range of applied classification and recognition problems in terms of developing promising schemes and methods for their final optimization (minimization) of the structure. This research is relevant not only for the constructions of logical classification trees, but also allows us to extend the complexity estimation scheme itself to the general case of algorithmic structures of classification trees (concepts of algorithm trees and generalized feature trees). The current issue of complexity of the general procedure for constructing a logical classification tree based on the concept of step-by-step selection of sets of elementary features (their possible heterogeneous sets and combinations), which for a given initial training sample (an array of discrete information) builds a tree structure (classification model), from a set of elementary features (basic attributes) evaluated at each stage of the model construction scheme for this sample. Thus, modern information technologies based on mathematical models of pattern recognition (logical and algorithmic classification trees) are widely used in socio-economic, environmental and other systems of primary analysis and processing of large amounts of information. This is due to the fact that this approach allows you to eliminate a set of existing disadvantages of well-known classical methods and schemes and achieve a fundamentally new result. The work is devoted to the problems of classification tree models (decision trees), and offers an assessment of the complexity of logical tree structures (classification tree models), which consist of selected and ranked sets of elementary features built on the basis of the General concept of branched feature selection. This method, when forming the current vertex of the logical tree (node), provides the selection of the most informative (qualitative) elementary features from the source set. This approach allows you to significantly reduce the size and complexity of the tree (the total number of branches and tiers of the structure) and improve the quality of its subsequent analysis.
Does GPLv2 Include an ‘Installation Information’ Obligation? A Textual &amp; Historical Analysis

One of the features included in version 3 of the GNU General Public License (GPLv3) was a requirement, in certain circumstances, to provide ‘Installation Information.’ This was a new addition to the licence to address a ‘loophole’ that existed in version 2 of the licence (GPLv2); a loophole that was perceived as being exploited, at the time, by certain device vendors. Recently, it has been asserted that this requirement was inherent, or explicitly called for, in GPLv2. This paper examines the historical record around the time that the ‘Installation Information’ requirement was proposed, and eventually ratified, in GPLv3, to show that this requirement was understood to be both new, and not a part of GPLv2. A textual analysis of GPLv2 yields an identical result.
Improving the Writing Paragraph Skills with Peer Teaching Method

The peer teaching method is an exercise technique in learning in which students or participants present their ideas or opinions to other fellow participants. With this peer-to-peer method, it is expected that students' ability to write paragraphs will increase and be more directed based on the method given by the teacher. Therefore, this study aims to find out how to improve the ability to write paragraphs using the peer teaching method in senior high school. The research method used in this research is peer-to-peer method which is directed to describe the variable or ability to write paragraphs in senior high school students class X SMA Negeri 35 Jakarta with classroom action research (PTK). Based on the results of data analysis by looking at the results of the teaching-learning process, there was an increase in the ability to write paragraphs for aspects of unity, integration, development, as well as spelling and punctuation carried out by teachers from cycle I (78.31%) to cycle II (87.27%) with average of 13.46%. In addition, the evaluation obtained from each cycle also experienced increase of 35.13% in cycle II from Cycle I.Keywords: Pharagraps Writing skills; Peer Teaching Method; Classroom Action Research
FEATURES OF THE DEVELOPMENT OF INNOVATIVE MANAGEMENT STYLES BY TEAM ROLES MANAGERS OF EDUCATIONAL ORGANIZATIONS

The article presents the results of an empirical study of the level of development of innovative management styles by team roles of managers of educational organizations. It has been established that general education managers are guided by all role positions in the team. The most attractive for managers of educational organizations role-position “the organizer of work”, “group organizer” is revealed. At a low level, the role of “head”, “finalist”, “assessor of ideas”, “research researcher”, “molder” and “generator of ideas” are expressed. As a result of factor analysis, three leading factors that reflect the orientation of managers of educational organizations on the main functional role positions in the team (“Initiation”, “Formation”, “Search”) were determined. Factor analysis showed a possibility of a certain “lifting” role position. Cluster analysis allowed to distinguish four types of managers of educational organizations by team roles: “organizational”, “forming”, “research”, “initiative”. Managers of educational organizations such as “organizational” and “forming” are implemented in professional activities traditional management styles, and managers such as “research” and “initiative” are innovative management styles according to the characteristics of each type. Based on quantitative distribution, it has been found that a little more than half of the interviewed education managers use in professional activity innovative control styles by team roles. The results of the study showed the need to introduce a special psychological training of managers of educational organizations to the formation of a role structure of the team and to execute certain roles. Taking into account the results of the study can contribute to the development of innovative management styles in managers of educational organizations during a special psychological training of managers.
STRUCTURE AND FUNCTIONS OF FORMING LEGAL COMPETENCE IN THE EDUCATIONAL PROCESS OF PROFESSIONAL TRAINING

This paper discusses aspects related to the formation of professional and legal competence in the process of scientific and educational process of training bachelors of engineering and technical profile. A modern professional should be not only qualified literate, but also socially competent, and also often legally literate, be able to coordinate, manage and obey himself, resolve conflicts and be able to make decisions within the existing legal framework, etc. For this, it is advisable for a future bachelor know legislative and other regulatory legal acts, be able to use them productively in practical professional work. Purpose of the study: to determine the essence and properties of the structural components of the formation of legal competence of bachelors in the process of vocational training. When solving particular problems of theoretical research, methods were comprehensively used such as analysis of methodological, philosophical, sociological, psychological, pedagogical literature on the problem of research, study of legislative and regulatory acts on higher education and the functioning of technical institutions, synthesis and generalization of information received on subject of research. The structure of legal competence, as well as objective and subjective properties of legal competence are revealed. Legal competence is presented as a complex, integrative education, consisting of a complex system of knowledge, abilities, skills and individual qualities of a future bachelor of engineering and technical specialties. Moreover, the content of legal knowledge should be adequate to the professional activity of the future bachelor, and only if this condition is met this knowledge will contribute to the improvement of his legal competence.
Aplikasi Arsip Surat Fiskal Pada Badan Pengelolaan Pajak Dan Retribusi Daerah Provinsi Sumatera Utara UPT PPD Medan Selatan

Regional Tax and Levy Management Agency is a regional agency organization that handles regional revenue affairs, especially in terms of taxation for motorized vehicles and regional levies in North Sumatra Province. UPT PPD Medan Selatan or better known as SAMSAT (One Roof Manunggal Administration System) is one of the Technical Implementing Units under the auspices of the North Sumatra Province BPPRD. In some parts of the work at UPT PPD Medan Selatan still need a letter as the medium, the letter that is often used is a type of certificate and this can be seen when handling vehicle mutations, the certificate is better known as a fiscal certificate. In the recording of fiscal certificates issued by UPT PPD Medan Selatan, they still record manually using the SAMSAT expedition book so that it is very ineffective and inefficient. Based on this phenomenon, the researchers designed a Fiscal Letter Archive Application using Java programming. The research method used is Applied research (applied research). The benefit of this research is to facilitate the filing of fiscal letters so that they are more efficient and effective.
Decision-making on image denoising expedience

Image denoising is a classical preprocessing stage used to enhance images. However, it is well known that there are many practical cases where different image denoising methods produce images with inappropriate visual quality, which makes an application of image denoising useless. Because of this, it is desirable to detect such cases in advance and decide how expedient is image denoising (filtering). This problem for the case of wellknown BM3D denoiser is analyzed in this paper. We propose an algorithm of decision-making on image denoising expedience for images corrupted by additive white Gaussian noise (AWGN). An algorithm of prediction of subjective image visual quality scores for denoised images using a trained artificial neural network is proposed as well. It is shown that this prediction is fast and accurate.
Covid 19: Human Rights and State Responsibility

Human rights dimensions of the Covid-19 response escalate the obligations of governments. Since the time Covid was first identified in December 2020 in Wuhan, China, Human Rights Watch has reported several human rights abuses including the authoritarian responses in some countries.&amp;nbsp; Many governments are expanding public health measures by abandoning universal human rights. People are arrested for violating lockdown measures and curfews. Police and/or security forces are using violence, including lethal force, to enforce public health measures such as curfews and the wearing of masks. Lockdowns have imposed restrictions on individual movement by restraining them from leaving their place of residence. Some countries have imposed partial lockdowns. While restrictions on freedom of movement are necessary in the interest of protecting public health, states still are accountable to ensure that such restrictions are proportionate, evidence-based, and time-limited.&amp;nbsp; There were grievances and inequalities across countries, some of which were based on racist, gender-specific or other discrimination. There is also increased oppression of those who think differently. The pandemic exposes the failures in the context of political action and cooperation. The article makes recommendations on how governments can confront the pandemic while respecting basic human rights.
An Effective VNS Algorithm for k-Medoids Clustering Problem

This paper proposes an algorithm based on VNS metaheuristcs for k-medoids clustering, which is a NP-hard optimization problem. The VNS algorithm was applied in fifty data bases (instances) with small, medium, and large sizes, considering the number of clusters between 2 and 7. The obtained results from these experiments show the effectiveness of this approach, comparing it with nine other related clustering algorithms and an optimization formulation. Furthermore, we found that our algorithm obtained the optimal solutions for the vast majority of the cases.