Reviewerly/exHarmony huggingface dataset:
THE USE OF EDMODO IN TEACHING AND LEARNING ENGLISH

The researcher raises the title The use of Edmodo application in learning English aims to find out how the Edmodo application is used in learning English and to find out how students perceive about the use of Edmodo applications in learning English. Researchers conduct research in the Man 2 Model Banjarmasin, and collect data through Teachers English and Students of class X Mipa 6. The results of this study indicate that the English language teacher in this school uses the Edmodo application as a medium to give assignments to students and as a medium for students to collect their assignments. Besides that, it was also found that most students in class X Mipa 6 thought that they were happy to use the Edmodo application and they also did not feel that learning using Edmodo made it difficult for them. Even though there were some students who stated that using Edmodo made it difficult for them to disturb their concentration.
The other side of the Coin: Risks of the Libra Blockchain

Libra was presented as a cryptocurrency on June 18, 2019 by Facebook. On the same day, Facebook announced plans for Calibra, a subsidiary in charge of the development of an electronic wallet and financial services. In view of the primary risk of sovereignty posed by the creation of Libra, the Central Banks quickly took very clear positions against the project and adressed a lot of questions to the responsible of the project focusing on regulation aspects and national sovereignty. The purpose of this paper is to provide a holistic analysis of the project to encompass several aspects of its implementation and the issues it raises. We address a set of questions that are part of the cryptocurrency environment and blockchain technology that supports the Libra project. We identify the main risks considering at the same time political risks, economical risks, technological risks and ethics focusing on the governance of the project based on two levels: one for the Association and the other for the Libra Blockchain. We emphazise the difficulty to regulate such a project as soon as it will depend on several countries whose legislations are very different. The future of this kind of project is discussed through the emergence of the Central Bank Digital Currencies
Sistem Informasi Layanan ICT Dalam Bentuk Elektronik Form (Studi Kasus : PT. PGN,Tbk)

In this era, many companies in Indonesia have information systems and every company has a business process. Business process is a collectionofactivities in anorganizationto achieve certaingoals, business processes that occur in the company are supported by a service, one of which is the PGN ICT division business processes that still use services in the form of manual forms. This manual form service has several disadvantages such as, business process services that take a long time, quite a lot of costs, and storagethat isvulnerabletodataloss, damage, and not durable.Therefore,thisinformationsystemdesign is used to facilitate requests for ICT services from PGN employees to the PGN ICT division. This information system uses the programming of PHP, MySQL and the Laravel framework. The purpose of this study is to transform the manual form into an electronic form to facilitate the process of approving the previously PGN ICT services long enough and improve security to anticipate the documentation of PGNICT servicesso asnotto disappear.Themethodused inthisresearchistheprototype method,which is listening to customers, building or repairing mockups, and testing the customer controlling the mockups. The tools used are Entity Relationship Diagram and Business Activity Diagram. The system test results using the User Acceptance Test produce an ICT service in electronic form for requesting a servicetothe PGN ICT divisionthat is moreeffective, efficient andasneeded.
Establishment of Safety Information Integrated Control Center through Drones

현재 드론은 다양한 분야에서 활용되고 있으며, 그 범위가 더욱 확대되고 있다. 본 연구의 목적은 드론을 통해 수집되는 안전정보를 지역사회의 통합관제센터에서 활용하는 방안을 논의하는데 있다. 문헌연구를 통해 기술적인 분야는 제외하고 드론을 활용한 지역사회의 안전 개선에 중점을 두고 논의하였다. 대부분의 지방자치단체에서는 안전을 위해 통합관제센터를 구축하여 운영하고 있다. 통합관제센터는 CCTV를 기반으로 시스템이 마련되어 있으며, 대부분 영상정보를 통해 안전활동이 이루어지고 있다. 드론을 통해 수집되는 다양한 안전정보를 통합관제센터에서 활용할 수 있도록 시스템이 필요하다. 따라서 드론을 지역사회 안전 정보 수집에 활용하고, 그 정보를 통합관리할 필요가 있다. 무엇보다 드론을 활용하는데 인력적인 측면을 간과해서는 안 되며, 교육훈련과 연구 역량의 향상에 지속적인 지원이 필요하다.These days, drones are being used in various fields, also the range has been further expanded. As the initial, technical and legal limitations are gradually resolved, the roles are being emphasized throughout the safety activities as well as crimes in the community. The purpose of this study is to discuss the use of safety information collected through drone in the integrated control center for the community. With the exception of the technical field, literature reviews have focused on improving community safety by using drones. The most of local governments has established and operate an integrated control center for local safety. There is a need for a system that can utilize various safety information gathered through drones in integrated control center. The integrated control center has a system based on CCTV, and the most of them have safety activities through video information. The Integrated Control Center is installed in local governments and integrates and links CCTV installed for various purposes such as living safety, traffic control, parking control, waste disposal, disaster monitoring, facility management, and child protection. Therefore, it is necessary to utilize the drones to collect safety information and to manage the information integrally. By monitoring the area in real time, it can prevent various crimes and illegal activities in advance. In addition, the risk can be quickly recognized, and the situation can be quickly notified to relevant authorities. It is positive to establish organic information sharing and cooperation system among related organizations. First of all, we should not overlook the manpower aspect of using drones, and we need continuous support to improve our training and research capabilities.
R Libraries {dendextend} and {magrittr} and Clustering Package scipy.cluster of Python For Modelling Diagrams of Dendrogram Trees

The paper presents a comparison of the two languages Python and R related to the classification tools and demonstrates the differences in their syntax and graphical output. It indicates the functionality of R and Python packages {dendextend} and scipy.cluster as effective tools for the dendrogram modelling by the algorithms of sorting and ranking datasets. R and Python programming languages have been tested on a sample dataset including marine geological measurements. The work aims to detect how bathymetric data change along the 25 bathymetric profiles digitized across the Mariana Trench. The methodology includes performed hierarchical cluster analysis with dendrograms and plotted clustermap with marginal dendrograms. The statistical libraries include Matplotlib, SciPy, NumPy, Pandas by Python and {dendextend}, {pvclust}, {magrittr} by R. The dendrograms were compared by the model-simulated clusters of the bathymetric ranges. The results show three distinct groups of the profiles sorted by the elevation ranges with maximal depths detected in a group of profiles 19-21. The dendrogram visualization in a cluster analysis demonstrates the effective representation of the data sorting, grouping and classifying by the machine learning algorithms. The programming codes presented in this study enable to sort a dataset in a similar research aimed to group data based on the similarity of attributes. Effective visualization by dendrograms is a useful modelling tool for the geospatial management where data ranking is required. Plotting dendrograms by R, comparing to Python, presented functional and sophisticated algorithms, refined design control and fine graphical data output. The interdisciplinary nature of this work consists in application of the coding algorithms for spatial data analysis.
고등학교 가사·실업계열 미용과 교육과정 구성 체계 분석

The research focused on the comparative analysis of the change of cosmetology curriculum in high school from the first to 2015 revised curriculum. The contents of the research were as follows. First, we examined beauty education’s history, change of cosmetology curriculum as theoretical background. Second, we selected the cosmetology curriculum of vocational home-making education that clearly adduce the organization system and set six different categories for the comparative analysis: the amount of the time unit standard, characteristics, goal, contents, teaching and learning method, and evaluation. For the research, we used combined method of theoretical and empirical research. During the theoretical research, we reviewed the literatures that were based on the advanced research of the curriculums and cosmetology education related publications. During the empirical research, we derived the problem and improvement of the cosmetology curriculum in high school through analyzing related materials from the Ministry of Education’s curriculum and local Ministry of Education’s exams. The analysis of cosmetology curriculum in high school in this research served as a momentum to grasp not only the mere transition in curriculum but also the transition in social position and perception of cosmetology of each time period the curriculum was established.
Effect of a cyberbullying prevention program integrated in the Primary Education curriculum // Efecto de un programa de prevención de ciberacoso integrado en el currículum escolar de Educación Primaria

The largest number of cases of cyberbullying occurs in the Secondary Education stage, where a large part of cyberbullying programs are focused. This situation leads to the design, implementation and evaluation of a cyberbullying prevention program integrated in the Primary Education curriculum, based on a needs analysis carried out with 55 teachers and 156 parents. The objective of this study is to evaluate the effect of the program on a sample of 159 students of Primary Education, following a quasi-experimental design, pre-post with two groups, including training for teachers and parents. Significant differences have been obtained in the following dimensions emotional self-awareness , problem solving , responsible use , digital teaching tutoring and family supervision . It is concluded that the program is effective, developing in the students the personal and technological skills assessed, and having a positive impact on the tutoring and supervision of their teachers and parents.
Chance and Indeterminacy in Music

The incorporation of degrees of chance in the creation and realization of music captured the imagination of composers in the late 1950s and early 1960s. Led by the American iconoclast John Cage—the most prominent champion of chance and indeterminacy—composers began to include chance operations in the creative process. In so doing, they relied upon the performer to understand each work’s compositional style and to respond to and interpret the notation used, often graphic in form. This chapter examines the percussion works of John Cage, Morton Feldman, Roman Haubenstock-Ramati, and Herbert Brün. Cage’s transition from his use of the square root formula to his relinquishing control over every aspect of the compositional process is explored through his works <underline>27’ 10.554</underline>” and <underline>Child of Tree</underline>. Feldman’s use of “time boxes” in the percussion solo <underline>The King of Denmark</underline> and his desire to remove both pulse and attack from his music is illustrated. Brün’s early use of a computer to create music brings the chapter to a close.
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning.

There is growing interest in applying distributed machine learning to edge computing, forming federated edge learning. Federated edge learning faces non-i.i.d. and heterogeneous data, and the communication between edge workers, possibly through distant locations and with unstable wireless networks, is more costly than their local computational overhead. In this work, we propose DONE, a distributed approximate Newton-type algorithm with fast convergence rate for communication-efficient federated edge learning. First, with strongly convex and smooth loss functions, DONE approximates the Newton direction in a distributed manner using the classical Richardson iteration on each edge worker. Second, we prove that DONE has linear-quadratic convergence and analyze its communication complexities. Finally, the experimental results with non-i.i.d. and heterogeneous data show that DONE attains a comparable performance to the Newton's method. Notably, DONE requires fewer communication iterations compared to distributed gradient descent and outperforms DANE and FEDL, state-of-the-art approaches, in the case of non-quadratic loss functions.
The Role Of Parents In Stimulating The Development Of Early Children's Literation In Pandemic Time (Covid 19)

Early childhood education is education that is very important and becomes a very serious concern, because at this stage all child development develops very rapidly and is a preparation for entering further education. One of the developments that is of concern is Literacy. Early childhood literacy skills are influenced by the role of parents in it. Especially during the pandemic (covid 19) that transforms learning into an online form. For this reason, the role of parents is needed so that literacy development can be maximally developed and carried out in accordance with the child's development stage.
DGR: Deep Gender Recognition of Human Speech

The speech entailed in human voice comprises essentially para-linguistic information used in many voice-recognition applications. Gender voice-recognition is considered one of the pivotal parts to be detected from a given voice, a task that involves certain complications. In order to distinguish gender from a voice signal, a set of techniques have been employed to determine relevant features to be utilized for building a model from a training set. This model is useful for determining the gender (i.e, male or female) from a voice signal. The contributions are involved in two folds: (i) providing analysis information about well-known voice signal features using a prominent dataset, (ii) studying various machine learning models of different theoretical families to classify the voice gender, and (iii) using three prominent feature selection algorithms to find promisingly optimal features for improving classification models. Experimental results show the importance of sub-features over others, which are vital for enhancing the efficiency of classification models performance. Experimentation reveals that the best recall value is equal to 99.97%; 99.7% of two models of Deep Learning (DL) and Support Vector Machine (SVM) and with feature selection the best recall value is 100% for SVM techniques.
PURWARUPA SISTEM PERINGATAN DINI BANJIR BERBASIS ARDUINO UNO

Currently there is no flood warning system that able to work real-time and automaticly to determine the height of the water level of the river. It could cause the citizen around the area do not get the information about the river overflow as soon as possible. This project designed a flood warning system that works automatically by monitoring the height (level) of water in the river. This warning system using an ultrasonic sensor-based microcontroller, which will determine the water surface elevation based on certain levels. When the water level reaching the the top post, it will give a quick information of the danger.
Non-cryptographic Hashing

There are notions of hash functions originating from the area of fast storage and retrieval in data structures which have also found many applications in cryptography and other areas of computer science.
The Information Paradox

The following paradox is based on the consideration that the value of a statistical datum does not represent a useful information, but becomes a useful information only when it is possible to proof that it was not obtained in a random way. In practice, the probability of obtaining the same result randomly must be very low in order to consider the result useful. It follows that the value of a statistical datum is something absolute but its evaluation in order to understand whether it is useful or not is something of relative depending on the actions that have been performed. So two people who analyze the same event, under the same conditions, performing two different procedures obviously find the same value, regarding a statistical parameter, but the evaluation on the importance of the data obtained will be different because it depends on the procedure used. This condition can create a situation like the one described in this paradox, where in one case it is practically certain that the statistical datum is useful, instead in the other case the statistical datum turns out to be completely devoid of value. This paradox wants to bring attention to the importance of the procedure used to extract statistical information; in fact the way in which we act affects the probability of obtaining the same result in a random way and consequently on the evaluation of the statistical parameter.
Self-Regulatory Mechanisms in Cryptoasset Markets: The Need for Gatekeepers

Doctrinal and economic arguments militate in favor of the application of securities law in situations where issuers of cryptoassets – innovative financial instruments based on the distributed ledger technology - are seeking to finance the development of these assets. This article emphasizes that to be effective, the law must be supported by self-regulatory capital market mechanisms such as a mature network of gatekeepers and reputational intermediaries. The efficiency of gatekeepers depends on multiple factors such as their capacity to service the needs of a market, independence, ability to vet offerings, expertise, and reputational capital. Unfortunately, the assorted gatekeepers in crypto-markets currently do not exhibit these qualities. At the same time, there are fundament positive developments: new gatekeepers, such as the community of developers and smart contract auditors, are rising together with the evolving intermediaries similar to traditional investment banks and exchanges. These processes signal that with time the crypto-market should be expected to improve self-monitoring mechanisms, even if it currently faces a long road to self-regulation.
Data Protection Impact Assessment for the Corona App

Since SARS-CoV-2 started spreading in Europe in early 2020, there has been a strong call for technical solutions to combat or contain the pandemic, with contact tracing apps at the heart of the debates. The EU's General Daten Protection Regulation (GDPR) requires controllers to carry out a data protection impact assessment (DPIA) where their data processing is likely to result in a high risk to the rights and freedoms (Art. 35 GDPR). A DPIA is a structured risk analysis that identifies and evaluates possible consequences of data processing relevant to fundamental rights and describes the measures envisaged to address these risks or expresses the inability to do so. Based on the Standard Data Protection Model (SDM), we present a scientific DPIA which thoroughly examines three published contact tracing app designs that are considered to be the most privacy-friendly: PEPP-PT, DP-3T and a concept summarized by Chaos Computer Club member Linus Neumann, all of which process personal health data. The DPIA starts with an analysis of the processing context and some expected use cases. Then, the processing activities are described by defining a realistic processing purpose. This is followed by the legal assessment and threshold analysis. Finally, we analyse the weak points, the risks and determine appropriate protective measures. We show that even decentralized implementations involve numerous serious weaknesses and risks. Legally, consent is unfit as legal ground hence data must be processed based on a law. We also found that measures to realize the rights of data subjects and affected people are not sufficient. Last but not least, we show that anonymization must be understood as a continuous process, which aims at separating the personal reference and is based on a mix of legal, organizational and technical measures. All currently available proposals lack such an explicit separation process.
Refusing to Process Voluminous Requests: Contrary to the Spirit of Freedom of Information?

The power of Victorian government agencies to refuse to process voluminous Freedom of Information (‘FOI’) requests is contained in s 25A(1) of the Freedom of Information Act 1982 (Vic). During the initial years of operation, it was claimed that this power would not be ‘antidemocratic’, ‘anti-open government’ or ‘otherwise contrary to the spirit of FOI’, given the existence of adequate safeguards and so long as agencies upheld their duties in practice. This article examines whether that has proven to be the case nearly two decades on from the provision’s introduction in 1993. It concludes that despite several conceptual diffi culties, s 25A(1) has its rightful place in the FOI statutory regime.
Association Rule Mining to Analyze Diagnosis Pattern Based on Electronic Medical Record Data

Association Rule Mining (ARM) is a data mining method used to find information about items that often appear together. In this study, the method is applied to look for diagnoses (primary and secondary) that often occur together. The data in this study are electronic medical record data taken from hospital databases which are inpatient visits during 2019. Data analysis process began with preprocessing data, and continued using ARM method. Based on the data analysis by the ARM method, resulted an information that the diagnosis code E86 has assosiation with A09.9 with the confidence level of 0.993.
Sistem Informasi Rancang Bangun Sistem Informasi Klinik Anwar Salim Berbasis Website Menggunakan User Centered Design (UCD)

User convenience (user experience) is one of the factors that influence the existence of a system. A system that has a user friendly interface that is easily understood by users from various circles is needed. To accomplish this, a system that uses the User Centered Design (UCD) method is needed. This User Centered Design method is a design philosophy that places the user at the center of the system development process. In this study using techniques persona, User Interface (UI), and Wireframing. Wireframing is used as the basis for the Anwar Salim Clinic website display. This research was conducted with the User Experience Questionnaire (UEQ) tool. Until the results of research from 20 respondents showed that the website has a high UEQ scales value. The website that was built by applying the UCD method succeeded in getting a good user experience questionnaire (UEQ). Based on the UEQ Test, there was an increase in the level of user satisfaction in using the website with values ​​obtained from attractiveness of 1,447, perspicuity of 1,420, efficiency of 1,568, dependability of 1,580, stimulation of 1,443, and novelty of 1,227 where websites got an average value for all six the UEQ aspect is worth 1.23. From this value it can be seen that the Anwar Salim Clinic website shows that the website already has a good user experience value and is in accordance with user needs.