Reviewerly/exHarmony huggingface dataset:
STUDENTS’ PERCEPTION OF CULTURAL VALUES IN “TRAVEL” POEM THROUGH YOUTUBE

Since the popularity of YouTube as one of the sources to learn language especially English in digital era, students in tertiary education nowadays tend to appreciate a poem through this platform. The research about appreciating the cultural values of English poem is still far on the ground. Therefore, this study focuses to find out the students perception of cultural values in “Travel” as a classical poem by Robert Stevenson. The qualitative method of interview and online survey is conducted to obtain the students’ views of cultural values proposed by Schwart. The result revealed that they stated stimulation, self-direction, conformity and tradition as the cultures values expressed in that poem. However students selected youTube as the most preference way in appreciating the poem due to its attractive visual and vast imagination. &#x0D;
Penerapan JST Backpropagation untuk Prediksi Siswa Penerima Bantuan

The role of education is to educate students and build quality human resources. School Operational Assistance (BOS) from the government is used to relieve students, not free schools but free students from school fees and extracurriculars. BOS can be used to provide scholarships to underprivileged students. Students are entitled to a scholarship if they meet three conditions, namely not having a Smart Indonesia Card (KIP), not having a Prosperous Family Card (KKS), and parental income of less than one million rupiah per month. The determination of BOS scholarship recipients is based on an agreement and joint decision by the management team, the teacher council, and the school committee. The process of determining students as scholarship recipients often encounters obstacles because it is done manually. This study applies backpropagation ANN to determine students who are eligible for BOS scholarships. The system is built based on the web using bootstrap as a framework, Javascript, and PHP. The training process uses a sample of 78 students with input architecture 4, hidden 6, output 1, learning rate 0.7, momentum 0.9, SSE 0.1, output 1, and a maximum of 10,000 iterations, an error of 0.03 is obtained. Testing with 21 student data obtained an error of 0.414923 and the accuracy of the test was 93.67%. The test results using the cause-effect graph technique can display the training process, graphs, error results, weight values and testing time with 93.67% success.
Peningkatan Hasil Belajar Multimedia Matematika Melalui Flipped Classroom Berbantuan Webblog

The purpose of this research was to improve the results of learning multimedia mathematics using a flipped clasroom-assisted approach to Webblog. The data collection method used is qualitative approach. Determination of subjects and objects in this study was done random sampling. The data sources used are the primary data source and the secondary data source. The results of pre-cycle research showed that the student learning results obtained were 4 students who completed or by 14.81%, then after being given action using flipped clasroom assisted Webblog experienced an increase in learning outcomes with students who completed in the first cycle by 25.92%, cycle II by 74.07% and cycle III by 92.59%. From the percentage results experienced success in the third cycle that meets the indicators of &gt;75% complete success. In conclusion, there is an increase in student learning outcomes through the application of multimedia mathematics learning using flipped clasroom assisted Webblog to improve students' math learning outcomes.&#x0D; &#x0D; Keywords: Learning Results Mathematics, Multimedia, Learning flipped clasroom, Webblog
Portfolio optimization based on self-organizing maps clustering and genetics algorithm

In this modern era, gaining additional income is necessary to fulfill daily needs since inflation is unavoidable. Investing in stocks can give passive income to help people deal with the increasing prices of necessities. However, selecting stocks and constructing a portfolio is the major problem in investing. This research will illustrate the stock selection method and the optimization method for optimizing the portfolio. Stock selection is carried out by clustering using Self-organizing Maps (SOM). Clustering will show the best stocks formed for a portfolio to be optimized. The best stocks that have the best performance are selected from each cluster for the portfolio. The best performance of the stock can be determined using the Sharpe Ratio. Optimization will be carried out using a Genetic Algorithm. The optimization is carried out using software R i386 3.6.1. The optimization results are then compared to the Markowitz Theory to show which method is better. The expected return on the portfolio generated using Genetic Algorithm and Markowitz Theory are 3.348458 and 3.347559975, respectively. While, the value of the Sharpe Ratio is 0.1393076 and 0.13929785, respectively. Based on the results, the best performance of the portfolio is the portfolio produced using Genetic Algorithm with the greater value of the Sharpe Ratio. Furthermore, the Genetics Algorithm optimization is more optimal than the Markowitz Theory.
Conditional deep learning approach for the Helsinki deblur challenge 2021

Image captured by an optical lens-based imaging device usually has some part that appears out of focus and blurry. Such degradation is known as defocus blur. It happens when the object being captured is too far away from (or close to) the camera lens. Blurring removal is also helpful for other down-stream tasks, such as optical character recognition (OCR). Nowadays the deep learning is a prominent solution to practical image deblurring using supervised learning from a paired dataset. The Helsinki Deblur Challenge 2021 (HDC2021) provided the paired images taken by two identical cameras of the same target but with different conditions. The paper details the 2nd place solution to the challenge with discussion. Although the solution was designed to participate with the challenge, the two-stage framework and the way of incorporating the blur level information into the network architecture can be applied to other image restoration problems.
PENGARUH PENGGUNAAN MODEL PEMBELAJARAN &lt;em&gt;ROLE PLAYING &lt;/em&gt;DALAM MENINGKATKAN KEMAMPUAN MENULIS RESENSI KELAS XI MAN 2 PALEMBANG

This study aims to determine the effect of using the RolePlaying learning model on students of class XI MAN 2 Palembang, as a sample which collected 76 students consisting of Class MIA 4 (Control) and Class MIA 5 (Experiment).The research design used in this study was the Two Group Pretest Posttest (quantitative) design, and the data collection technique used a writing test with analysis carried out with the help of the SPSS 22 program.the two classes are equivalent (homogeneous) from the calculation using the t-test with a result of 0.989, which means this value is greater than the specified significant level of 0.05.The results of the normality test of the experimental class data, it is known that the significant value is 0.464> 0.05, this value when compared to ttable 0.168 is greater.The results of the homogeneity test are known to have a significant value of 0.989> 0.05, then the data distribution is homogeneous.Paired test sample test, it is known that the significant value (2 tailed) is 0.000 < 0.05.From the results of the pretest and posttest, it can be seen that the difference between the control class and the experiment that uses the roleplaying learning
ANALISIS FUNDAMENTAL CRYPTOCURRENCY TERHADAP FLUKTUASI HARGA PADA MASA PANDEMI

This research analyzes cryptocurrency fundamentals during the pandemic COVID-19 significantly affected cryptocurrencies during a brief period of financial panic. Technological advances resulted in the shift of traditional currencies towards digitalization. Volume and market cap variables are used as independent variables. The cryptocurrencies in this study are Bitcoin, Ethereum, Binance Coin, Ripple, and Dogecoin, which have the top 10 largest market capitalization. The research data was taken on the CoinMarketcap.com website from the beginning of the pandemic in Indonesia in March 2020 – to February 2021. The results showed that the Market Cap of Bitcoin, Ethereum, Binance Coin, Ripple, and Dogecoin had a significant effect on the price. Furthermore, the volume of Bitcoin, Ethereum, Binance, and Dogecoin has an effect and is significant on the price. In comparison, Ripple Volume has no effect and is not significant to the price. This implies that highly speculatively priced cryptocurrencies have the same fundamental value as stock prices.
ANALISIS PENGGUNAAN PAPAN VIRTUAL DAN APLIKASI QUIZIZ DALAM PEMBELAJARAN MATEMATIKA

Teachers must have good information technology literacy will be able to utilize technology products to support learning interests. Virtual Whiteboards and quizizz are some information technology products that teachers can use as learning media, so that the messages conveyed are clearer and easier for students to understand. In addition, the use of learning media can also make the learning atmosphere more interesting and interactive, as a result, students are more motivated to learn and lead to increased student achievement. The objective of this analysis was to better know and understand the basic principles of learning mathematics at the elementary school level, including to find appropriate learning media that can be used to support the mathematics learning process. This analysis used the literature review method.The results of this study indicated that the collaboration of the virtual whiteboard and the quizizz application can make the mathematics learning atmosphere more attractive, increase the interest as well as motivation in learning, and had a positive effect on student achievement. The results of this study can be used as recommendations for further research.
Sentiment Analysis Tweet Pilkada 2020 Saat Pandemik COVID-19 di Media Sosial Twitter Menggunakan Metode 1D Convolutional Neural Network

Pilkada 2020 is a debate since it takes place in the midst of the COVID-19 pandemic. The emergence of comments from several social media such as Twitter. There are various public opinions that agree that the Pilkada will still be held, there are also other public opinions that support the postponement of the Pilkada until the COVID-19 pandemic ends. These different opinions require Sentiment Analysis which aims to obtain or find out the general opinion of the 2020 Regional Head Election during the Coronavirus pandemic. A total of 200 data in the form of tweets which are divided into 2 data, namely 20% test data and 80% training data obtained by retrieving data from Twitter using the twint library, based on predetermined keywords. The resulting data set is classified into three classes namely positive, neutral, and negative. In this test or research, deep learning uses the Convolutional Neural Network classification, because it has been proven effective in the case of natural language processing and can get good results in grouping sentences. From this research, the accuracy result is 72.50% with the epoch used is 25 epoch. From the increase in epochs, there is an increase in accuracy of 7-12% from the previous epoch variations.
INVESTIGATION OF THE PROBLEM OF DESIGNING THE CONTENT OF GENERAL PROFESSIONAL DISCIPLINES IN TECHNICAL UNIVERSITIES

Currently, a teacher is assigned new roles, that of a designer, an organizer, a mentor. He/she is presented with academic freedom in designing and selecting the content of academic disciplines. The relevance of the research lies in the unresolved issue of how to design the content of education in higher education. The purpose of the research is to study the real state of the problem of pedagogical research related to the design of the content of general professional disciplines in technical universities. For this purpose monitoring of students studying general professional disciplines at a technical university has been organized and carried out. The main tasks are to identify students' ideas about the relationship between the content of general professional disciplines and the future profession, to determine the means to motivate students to study, to determine the forms and methods of teaching demanded by students. The research methods used are questionnaire, analysis, synthesis, generalization. The Yaroslavl State Technical University was the experimental base. As a result, the data obtained will be used to identify conditions that will allow the formation of the content of general professional disciplines that correspond to the focus of training and allow students to effectively master the disciplines. Key conclusions: for further research on the problem of designing the content of a general professional discipline, it is advisable to pay attention to the following: mastering the discipline will be effective and fruitful if students have an awareness of the importance of new knowledge in their future professional activities; students need to show a visible connection between the discipline being studied and the rest of the disciplines of the curriculum; to increase the interest of students and orient the content to the direction of training, it is required to involve an employer in the educational process.
Implementasi Metode Kriptografi dengan Menggunakan Algoritma RC4 dan Steganografi Least Significant Bit Dalam Mengamankan Data Berbasis Android

Security is a protection or protecting something important from something unwanted or other things that are theft of data security techniques, there are several ways to provide protection, one of which is by inserting something data that you want to protect into other media, message security. secret by inserting a message into an image file or better known as steganography is a development of a cryptography, where cryptography itself is a data security technique that contains elements of data management or formulation before it becomes new data and the new data can only be read or opened. by a certain person who can know the pattern of managing the data. The security and confidentiality of a message is very important and must be maintained, the problem of data confidentiality in a company or institution is a major problem where a lot of data that is confidential is open or widespread, this is very detrimental to the company, in addition to data confidentiality The other factor is that data confidentiality is a continued asset for the company to continue to managers in other divisions which must be maintained and used by someone appointed. From these problems, a cryptographic method is needed where the algorithm used is RC4 and steganography is used using Least Significant Bit (LSB) as the method. The advantage of RC4 is that the data in the management of making cryptography is more structured and has a non-static pattern in which the creation of confidential data can be made quickly and safely, while the Least Significant Bit (LSB) method is a method of inserting binary data into an image that has a color image and in it can accommodate 6 bits for the message. The purpose of this research is to create a cryptographic application system that combines the Least Significant Bit (LSB) technique to secure an android-based data
An improved cryptographic technique using homomorphic transform

The current time has seen a major boom in the digitalization of information over various platforms varying from the web, applications, internet, and portals. The digitalization of the banking domain, telemedicine, cryptocurrency, and social media has put personal information at high risk. The data of anyone can be retrieved by many methods, such as brute force and cryptographic analysis can be used to retrieve the message and key. This has led to the need for data security, requiring the information more and more secure with the improvised form of existing technology so such kinds of attacks can be avoided. In this work, an efficient cryptographic approach is proposed which can protect the text message. Results show that for various file sizes ranging from 2.5 MB to 23.3 MB the proposed approach gives a minimum of 54% improvement compared to AES. The execution time of the proposed algorithm is better than available algorithms like DES, 3DES, AES, Blowfish, and RSA, below 1 MB data size. The limitation is felt when the data size is beyond 1 MB data size as the algorithm takes a longer execution time.
Reading and Online Research Comprehension: A Review of the Theory and Its Implications for Reading Comprehension Learning in the New Literacy Era

This paper focuses on the analysis of the online research and comprehension theory development initiated by Donald J. Leu in 2007-2015 and its implications on reading comprehension learning in the new literacy era.The method used in this analysis is Lasswell's "5W" model.The results of the analysis showed that in 2007-2015, there was a change in the terms used from 'online reading comprehension' to 'online research and comprehension' and finally to 'reading and online research comprehension'.No substantial changes were found with regard to the concept of the theory.The analysis on the implications showed that the theory had impacts on the demands of competencies that must be mastered by both teachers and students to adapt.Adaptation especially to changes in the new literacy era in relation to reading comprehension.From the discussion, we can concluded that the theory can be used as a reference to be adapted in learning reading comprehension in Indonesian classrooms.
The Technical Research on the Assessment of Network Security Situation Based on D-S Evidence Theory

Abstract With the increasing importance of network security, more attention is paid to the research on network security situation awareness, while network security situation assessment is the core of situation awareness. The existing situation assessment technology has many problems, such as unitary methodology, large-scale subjective factors and so on, affecting the accuracy of situation assessment. Combined with the traditional network security technology, this paper sets up a three-layer evaluation index system, and puts forward an overall network security situation evaluation model based on hidden Markov model, PageRank algorithm and D-S evidence theory, through which, the overall situation is evaluated after using different fusion algorithms in different fusion stages. The simulation result shows that the above assessment method is more accurate and efficient than the method using single model.
EDUCATORS’ DIGITAL COMPETENCE IN FRAMES OF EDUCATION EMERGENCY DIGITALIZATION

The article highlights the concept of emergency digitalization of education as a response to the realities of today’s educational processes, determined by the restrictions of physical contacts due to the Coronavirus pandemic, and further by the lack of possibility for conducting educational process in classrooms due to the war in Ukraine. Digital competence is seen in the article as one of the key competences of educators who currently face the challenges of emergency digitalization of education. While highlighting the elements and structure of digital competence of educators, the article is grounded on the provisions of the European framework of digital competence of educators as a model for defining the essence of digital competence. The article outlines six main areas of digital competence, which focus on various aspects of professional activities of educators, and briefly describes each of them: professional engagement, digital resources; organization of training; assessment; expansion of educational opportunities; facilitating learners’digital competence. The main tasks placed before educators in the context of the digital competence formation have been identified in the article. They include, in particular, the identification and selection of appropriate digital resources, taking into account the context and objectives of learning; critical assessment of the reliability of digital products and resources; restrictions on the use or reuse of digital resources (copyright, file type, technical requirements, legal provisions, availability); the ability to assess the benefits of digital resources in addressing a specific learning goal, the level of digital competence of a particular learner, as well as the correlation of the pedagogical approach with digital resources; ability to select and combine existing digital resources or their parts, to create new digital educational resources and products; collaboration in the field of digital educational resources.
Digital Economy in The Global Collaboration Economic Age

The purpose of this research is to find out more about the confounding influence between internet users, domestic consumption, and economic growth in Indonesia and Malaysia. This study uses vector calculations where each regression relationship will be brought together so that each variable will alternately become the dependent variable and the independent variable. In this study, we look at internet users, consumption, and GDP use in Indonesia and Malaysia. The following multivariate regression model was used to investigate the causal association between variables internet users, consumption, and GDP in Indonesia and Malaysia. We found the readiness of the countries of Indonesia and Malaysia in the application of the digital economy has differences including the application of blockchain technology and cryptocurrency which is indicated by a causal relationship between internet users, domestic consumption, and economic growth. Although the two countries indicate that there has not been a digital economy boost in national economic growth, which is signed by the negative correlation between internet users and GDP in both countries, it can be concluded that both countries are more dominant in applying the traditional economy.
School Age Programs and Services Committee: Learning Beyond: Twenty-First-Century Summer and Out of School Time Toolkit

This fall, library staff serving school-age children have a new ALSC toolkit with a supportive framework that applies year round: Learning Beyond, available online at https://bit.ly/3FR5BUT . Here are a couple key tools from the work that I think especially apply to programs and services during this school year. Firstly, the case studies in each section show how libraries of different sizes and structures put these tools into practice. This grounded approach ties together the breadth of ALSC membership and illuminates the structure and topics with examples. These examples are from the task force members’ own experiences leading this work and many center on STEAM as a tool for building equity and access. Case studies are handy for demonstrating proven relevant results of investing in scientific and makerspace equipment and programming partnerships to funders in your community and your boss or board.
RANCANG BANGUN APLIKASI PENGELOLA CUCIAN MOBIL MENGGUNAKAN BORLAND DELPHI BERBASIS WINDOWS

Car wash is a business that involves many transactions and requires good data processing. The use of technology in managing car washes is very helpful in data processing. The process of managing data on a car wash that is done manually can cause errors in calculating income, worker salaries or data loss. The aim of the research is to design an application that can be used to manage data in car wash businesses such as employee attendance, washing transactions, employee income and salaries. The research method used is analysis, design, implementation, and testing. This application is made using the programming language Borland Delphi 7 and Microsoft Access database. The results of application testing using the blackbox testing method are carried out, the application functions properly on a Windows-based laptop.