Reviewerly/exHarmony huggingface dataset:
PEMANFAATAN DISRUPSI DIGITAL DALAM DIMENSI INTERAKSI, KOMUNIKASI DAN FLESIBELITAS PEMBELAJARAN ON LINE ERA REVOLUSI INDUSTRI 4.0

PEMANFAATAN DISRUPSI Â DIGITAL DALAM DIMENSI INTERAKSI, Â KOMUNIKASI DAN FLESIBELITASÂ  PEMBELAJARAN ON LINE ERA REVOLUSI INDUSTRI 4.0 Â  Syamsu Ridhuan 1 , Aliaras Wahid 2 , Silvia Ratna Juwita 3 1 FKIP, 2 Fakultas Ilmu Komunikasi, dan 3 Fakultas Ilmu Komputer Universitas Esa Unggul Jalan Arjuna Utara Nomor 9, Kebon Jeruk, Jakarta - 11510 syamsu@esaunggul.ac.id Â  Abstract Â  Massive and fundamental changes from the old manual system to the all-digital system make a shift in life, including in the field of education. Changes occur due to the impact of digital disruption that is sweeping people in the era of industrial revolution 4.0. Digital disruption encourages the process of educational interaction activities that are different from conventional learning systems, face to face. Online learning communication as a whole uses modules, learning video recordings, e-book / e-journal links as enrichment material that is transformed through learning media e-learning accounts that are connected to students. There is feedbackÂ  to lecturers through discussion forums, working on quizzes and online assignments. Flexibility concerns the perspective of time, place and funding of learning programs. Directly impacts students in the process and completion of education. Quantitative research methods, through a survey approach with questioner research instruments and using the Google form facility. Data were analyzed descriptively, interpreted and discussed in the research findings. The conclusion turns out that the existence of digital disruption is significantly effective in the dimensions of interaction, communication and flexibility of online learning. It is recommended that each university be able to take advantage of the impact of digital disruption by opening e-learning programs according to their respective fields of excellence. Â  Keywords : educational interactions, learning communication, e-learning flexibility
The Quantum Potential & the Bell Length of the 3D Quantum Vacuum as the Parameters Generating the Avian Compass

A model of magnetoreception of birds in the picture of a three-dimensional quantum vacuum defined by energy fluctuations corresponding to elementary processes of creation/annihilation of virtual particles-antiparticles is proposed. In this approach, a quantum potential of the vacuum and its corresponding Bell length of the vacuum emerge as the ultimate physical parameters which generate the quantum correlations and thus the processes responsible of the avian quantum compass.
Deep Learning Techniques in Image Description

The current era of high end GPU with the exploring set of data requires in-depth analysis using deep learning techniques with the combination of computer vision and natural language processing has attracted huge attention of IT industry in the recent past. The domain of Image captioning is a great revolution with respect to deep neural networks. In this paper, the hybrid model is proposed to retrieve Image description from the dataset. The motivation behind this work to explore the deep learning techniques in image dataset which is quite impressive, although to implement the processing of different models was quite challenging to get the better accuracy of results. The paper uses the hybrid algorithm CNN-CNN and CNN-RNN based model to describe the images and visual experience of that images in the form of meaningful sentence.
Blockchain-as-a-Service

In an earlier chapter, we talked about using lean methodologies to discover whether integrating a blockchain is the right choice; we also provided an open source avenue in the form of open source DLTs available through Hyperledger. This chapter extends our prior discussion to Blockchain-as-a-Service: a more immersive environment for testing a blockchain deployment and smart contracts in the cloud.
Pengaruh Model Pembelajaran Talking Stick Terhadap Rasa Percaya Diri dan Hasil Belajar IPS Siswa Kelas V SD Tahun 2019/2020

Abstract: This research is motivated by the need for the use of a variety of learning models in the learning process to foster self-confidence and social studies learning outcomes in fifth grade elementary school students. The purpose of this study was to determine that there was a significant effect on the application of the Talking Stick learning model in social studies on self-confidence and on learning outcomes of fifth grade elementary school students. This research method uses a quantitative approach because the data obtained is in the form of numbers analyzed using SPSS. The research design used was Quasi Experiment with pretest and posttest types which involved two classes, namely the experimental and control classes. The results showed that there was a significant effect on the application of the Talking Stick learning model on students' self-confidence and social studies learning outcomes. Therefore, the use of the Talking Stick learning model is highly recommended for teaching teachers to be applied in the learning process.
Hidden Markov Model for Sentiment Analysis using Viterbi Algorithm

Data mining is an activity to extract the knowledge from large amounts of data as very important information. The type of data in the era of 4.0 is data in the form of text, which is very much derived from social media. Recently, text becomes very important in some applications, such as the processing and the conclusion of a person's review and analysis of political opinion which is very sensitive in almost all countries, including Indonesia. Online text data that circulating on social media has several shortcomings that could potentially hinder the analysis process. One of the drawbacks is the people can post their own content freely, so the quality of their opinions cannot be guaranteed such as spam and irrelevant opinions. The other drawback is the basic truth of the online text data is not always available. Basic truth is more like a particular opinion, indicating whether the opinion is positive, negative and neutral. Therefore, the main objective of this study is to improve the forecasting accuracy of online text data analysis from social media. The method used os Hidden Markov Model (HMM) with Viterbi Algorithm that applied to extract the dataset sentiment at the 2015 elections in Surabaya from the popular site micro blogging called Twitter. The result of the study is Viterbi algorithm has predicted the best route with the candidate Tri Rismaharini gained a prediction of neutral sentiments, whereas ratio candidates gained sentiment negative predictions as well. The proposed Model is accurate to predict candidate features. It also helps political parties to introduce candidates based on reviews so that they can increase candidate performance or they can manage broad publicity to promote candidates.
The Development of Flash Interactive Learning Media in Improving English Speaking Skills of Grade X At SMA Negeri 16 Medan

The purpose of this research is to know about: (1) feasibility of flash interactive learning media used by English teachers in speaking skills of grade X at SMA Negeri 16 Medan of Academic Year 2019/2020; and (2) the effectiveness of flash interactive learning media in improving English speaking skills of grade X at SMA Negeri 16 Medan of Academic Year 2019/2020. The research method is the Bord and Gall development model with the learning design of the Dick and Carey Model, consisting of 2 stages: (1) Stage I, namely: conducting preliminary research, making software design, collecting materials, making and producing products, product field testing, and product effectiveness test; and (2) Stage II, product effectiveness test by: normality test, linearity test, hypothesis test, and calculating the value of media effectiveness. Subjects consisted of 64 students of grade X. For the development of products using 2 experts of instructional design, 2 materials experts, 2 software experts, 3 students tested one by one, and 9 small groups classes students. Limited field test shows: (1) the average percentage of the results of the assessment of English-speaking skills by material experts is 79.7%; (2) the average percentage of English-speaking skills assessment results by learning design experts is 86%; and (3) the average percentage of English-speaking skills assessment results by software experts is 80.1%. The results were obtained tcount &gt; ttable (11.315 &gt; 1.69), which concluded that Ho refused and Ha is received, so that it can be stated that there are significant and significant differences between the English-speaking skills of students taught using interactive learning media (82,969) and the average English-speaking skills of students taught using conventional learning media (62,594) can be accepted and tested for truth.
Advanced code-based electronic digital signature scheme

The article is devoted to the study and research of the properties of code-based cryptosystems. They provide a high level of security even in the conditions of quantum cryptographic analysis, i.e. belong to the new generation of cryptosystems for post-quantum application. The main disadvantage of the known code-based digital signature schemes is the long time to generate a signature. This is due to the large number of attempts to decode a randomly generated vector (which is interpreted as a syndrome vector). The high complexity of such a procedure requires the search for new mechanisms and algorithms that would accelerate the formation of code-base electronic signatures. The article presents the results of two research vectors. First, we propose a new code-based digital signature scheme on the use of a one-way function from the classical McEliece cryptosystem and not only provides a proper level of resistance to classical cryptanalysis and cryptanalysis using quantum computers, but also, compared to known alternatives, provides protection against special types of attacks, such as simultaneous counterfeit attacks. Quantitative estimates of the reliability and speed of the new cryptographic algorithm, which were obtained by experimental verification on the BCH codes, are also given. The second vector of research concerns the study of a new direction, which is associated with the modification of the decoder by artificially increasing the corrective code ability. Thanks to the improved decoder scheme, we can significantly reduce the generation time of signatures. The paper confirms the effectiveness of the proposed decoder modification in the implementation of a new digital signature scheme in comparison with the classic Peterson-Gorenstein-Zierler decoder in the context of comparing the speed of signature formation and the number of required decoding attempts.
The Impact of Educational Tourism on Economic Growth: A Panel Data Analysis

Since the early 21st century, the educational tourism sector has been growing rapidly especially in developing countries and it is one of the major sources of export in a number of developed countries. Therefore, the objective of this paper is to determine the impact of educational tourism on economic growth with controlling the impact of exports of goods and foreign direct investment. A panel dataset of 11 countries was selected as the main group in international education exporter for the years 2002-2017 and this study utilised static panel data analysis. The results found that educational tourism and exports have positive impact on economic growth. The study also found that there is a country specific effect through different constant. This study proved that other than exports of goods, certain countries can benefit from the educational tourism sector as the new engine of economic sustainability.
A principled approach to the development of drum improvisation skills through interaction with a conversational agent

Shedding is a term used to describe a musical conversation between drummers with the aim to improve their drumming vocabulary, gain confidence in real-time trading of musical ideas, develop an understanding for their original voice on the drumkit and enjoy the process of exploring creativity with a fellow drummer. However, in practice drummers have limited opportunities to play in real time with other drummers. ​This research explores shedding activity in the form of mixed-initiative interaction between a human drummer and a conversational agent. This paper focuses on a series of design studies and experiments to explore three novel refinements to the proposed shedding model.
CIFAR: 2D Neural Network with Blocks

In this chapter, we will look at how we can stack layers of convolutions to scale up our network to tackle a slightly more real-world problem of distinguishing between color pictures of animals and vehicles, called CIFAR.
The Urgency of Digital Media Literacy in Youth Scavengers in Bintara Jaya Environment, Bekasi City, West Java

The purpose of this research is to find out and describe the conditions of teenagers in the scavenger environment regarding their ability to select, filter, sort, understand and evaluate digital media content after they were exposed to current communication technology that transcend the boundaries of social economic status. On the basis that no matter how limited their economic reach are, teenagers in this environment are still exposed to digital media content through their uses of second-hand cellular phones that they bought. This qualitative research approach used a case study method that wants to describe in detail and comprehensively the conditions of this reality.The informants of this research were 4 teenagers who were accommodated by the study group of Sekolah Kami led by Mrs. Irina. These 4 teenagers are part of the 27 youth who are studying in the Sekolah Kami about various skills informally. The research was taken using a purposive sampling technique (as much as it needs), using cellphones. The data was collected using observation and in-depth interviews with informants as well as conducting documentation studies through various documents related to the research theme.The results were analyzed using the qualitative data analysis model from Miles and Huberman. Analysis of the data used stages from this model until there were categories related to the research theme and a conclusion was finally drawn Keywords: Media Literacy, Digital Media, Social Kognitif, The reality of youth scavengers as users of digital media DOI: 10.7176/NMMC/94-04 Publication date: December 31 st 2020
U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data

First posted January 7, 2021 For additional information, contact: Director, Science Analytics and SynthesisU.S. Geological SurveyP.O. Box 25046, Mail Stop 302Denver, CO 80225 The U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held during June 3–7, 2019, at Center Green in Boulder, Colo. The theme of the workshop was “From Big Data to Smart Data” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps forward to advance twenty-first century science at the USGS. The workshop agenda was driven by the needs of the CDI with topics highlighting current resources and technologies that could help attendees in their daily work. Workshop-session categories included enabling integrated science, computing in the cloud, advancing data management, releasing and preserving science outputs, and improving usability and communication. These proceedings provide documentation of the plenary talks, topical-session content and notes, posters, live demonstrations, and attendee comments from the 2019 CDI Workshop.
Computing Load Distribution by Using Peer-to-Peer Network

Modern computation problems arise that cannot be solved by increasing the number and quality of computers alone. In this work, we develop distributed computing methods. By applying knowledge from different areas of science, such as queueing theory and theory of computation, we create our own distributed computing system. The main idea behind our approach is the equality of hierarchy and decentralization, and generalization of calculations, covering more high-performance computation areas. Usage of peer-to-peer architecture requires a thoughtful design but offers several advantages, which are discussed in this work. To compose our system, we set a mathematical model of the target situation, draw attention to its weaknesses, and develop software principles to resolve them. After solving several design issues, we create simulation models to analyze the effectiveness of the future system. After analyzing the models, we select the next steps to improve and finalize our system.
О порядках элементов квадратичного расширения конечного поля характеристики 2

Let F(2m) will be an arbitrary finite field of characteristic 2. It’s square extension will be considered as an algebra with basiс elements 1 and e over the field F(2m). Here 1 is considered as the unit element of the algebra, and e satisfies the relation: e2 = e + α. An element α maybe arbitrary from the field F(2m), but it is not satisfying to the condition α = x + x2  for some x element from F(2m). Let us n0 (α) denote the order of basis element e. Then the main result of the paper can be formulated as: The irreducible polynomial 1 + t + αt2 divides the polynomial 1 + tn if and only the order if n0 (α) divides a natural n. The similar results for arbitrary elements of field F(2m) follow from main theorem. The proof of main result based on the properties of the recurrence relations between the polynomials Pn (α) and Qn (α), definite for all n = 0, 1, 2, … by the relations en = Pn (α) + Qn (α) e. The formulas for the generating series of these polynomials contain the most important such properties. The formulas were obtained.
Implementasi ITSM dan DSS01 Pada Layanan Teknologi Informasi Bagian Aplikasi Akademik (Universitas X)

Information technology services (IT) is an important requirement for every organization, as University X has IT services in the academic field, which is the application of an integrated academic system (SAT) that can be accessed and is highly needed for all University X students. Continued to the satisfaction of students in measuring the SAT application services provided, is it in accordance with what is desired by every University X student by using Information Technology Services (ITSM) management and COBIT 5.0 DSS01.
DEVELOPING OF COMMUNICATIVE LANGUAGE TEACHING ON SPEAKING SKILL

Communicative Language Teaching (CLT) is to advocate the teaching practices that develop learners’ abilities to communicate in a second language. It represents a change of focus on the language teaching from the learners’ need for developing communication skills. It aims to make the students more actively in English speaking at Bintang Mulia Batubara Computer and English Training Course (LKP BINTANG MULIA BATUBARA). Here, the teacher gives the motivation and suggestions to the students’ communication. It used the qualitative reserch design which the researcher used the description to answer the gaps of this research. The subjects are taken based on the students available technique to get the results and they are only 20 students. The researcher gave some small hot topics, they can communicate and give good respons Most of the students are able to communicate in English even though it is a little or step by step. They can make small communication because the CLT makes communicate to their friends in English. Besides they can speak English, they are so comfortable in the CLT approach in English Teaching. Keywords: c ommunication; teaching; speaking skill
Factors Affecting Success of Micro and Small Business Enterprises: In Case of Some Selected Woredas of Hadiya Zone, Snnpr, Ethiopia

Micro and Small Enterprises play an important economic role in many countries and recognized as an important vehicles of economic diversification, employment creation, income generation and poverty alleviation .However performance of micro and small enterprises (MSEs) remains to be a major problem delaying MSEs from playing their productive role in the economy.Therefore, the motive of this study is intended to fill this gap byanalyzing success factors on performance of MSEs in Hadiya zone.This research was carried out through descriptive and explanatory research design.Furthermore the approach that was followed in this particular study was quantitative and qualitative.Purposive sampling technique was used to select sub sectors of MSEs (food and beverage, wood and metal, merchandise and retail shop, and textile and garment).Sample size of 161 from target population of 269 was determined by using stratified proportional random sampling method and simple random sampling technique was used to select respondents from each stratum.The descriptive (mean, percentage and standard deviation) and inferential (Pearson correlation coefficient and multiple linear regression) statistical tools were used to analyse collected data.The results of the regression analysis showed that management, marketing, technological, political-legal, planning and financial factors were statistically significant at 5% significance level and had positive relationship with the performance of MSEs.Based on the research results, it is recommended for MSEs have responsibility to adopt better technology that will enable them increase efficiency, improve quality and diversity of products.The government has also encourage and support MSEs on how to identify and adopt appropriate technology based on the need of specific types of products, service or consumer needs.
Gépi tanulásban alkalmazott dimenziószám-csökkentő módszerek

In most cases, a dataset obtained through observation, measurement, etc. cannot be directly used for the training of a machine learning based system due to the unavoidable existence of missing data, inconsistencies and high dimensional feature space.Additionally, the individual features can contain quite different data types and ranges.For this reason, a data preprocessing step is nearly always necessary before the data can be used.This paper gives a short review of the typical methods applicable in the preprocessing and dimensionality reduction of raw data.
Penerapan Algoritma Tibrewala, Philippe dan Browne Untuk Pembuatan Jadwal Karyawan Pada Restoran Tea Garden

Manpower scheduling is the allocation of human resources at work stations according to the needs, to increase productivity the company must schedule the workforce optimally. Tea Garden Restaurant is a restaurant that produces fast food products located in Medan City. In allocating labor, the restaurant has implemented a workforce scheduling with 3 work shifts and 1 day off in 1 week. Human resources are very important to note. To accommodate 3 work shifts per day and 1 day off in 1 week, this study used a modified Tibrewala, Philippe and Browne algorithm. The algorithm modification changes and adds from 3 steps to 5 steps and changes the tabular table format of labor scheduling for three shifts. Scheduling a workforce of 6 working days and 1 day off requires a workforce of 20 people. If there is an excess of labor, it is used when there are workers who do not come to work because of illness, permission or leave. The scheduling is expected to maintain the health and safety of workers so that they can do optimal work to increase restaurant productivit