Reviewerly/exHarmony huggingface dataset:
PARTISIPASI PEMUKA MASYARAKAT DALAM PENGELOLAAN PERPUSTAKAAN DESA

Community participation in development in the village also determines the strength of an existing program, and determines the success of a program, including the establishment of village infrastructure. The Village Library is an important point that needs to be taken seriously in its establishment, use and even in its management. The entire process can be carried out by the community, one of which is library management. In its management, the village library requires the participation of the community. This community in question is the community leaders in the village. Parties from the village government took part in the establishment of the village library in Segati Village. In the management of the village library, the involvement of community leaders is impossible if it does not exist, which community leaders in this village are very accepting and have hope in the infrastructure of this village. With the strength of community leaders, there is a great hope in the management of this village library. This research was conducted with the aim of knowing and describing the participation of community leaders in the management of village libraries in Desa Segati Kecamatan Langgam Kabupaten Pelalawan. The method in this research is descriptive research with a qualitative approach. The object of the research is participation, community leaders, and village libraries and the research subjects are community leaders, totaling 4 (four) people. Participation in ideas and social participation which is given as a closeness of heart is the participation that is most often carried out by community leaders. This is because participation is a very easy, flexible and timeless form of participation. In addition, labor participation, skill participation is participation carried out by community leaders but still has limited time and opportunities due to differences in work and opportunities from each community leader in Desa Segati Kecamatan Langgam Kabupaten Pelalawan. Meanwhile, property participation has been carried out by several community leaders indirectly.
Contributing Factor Influencing Flood Disaster Using MICMAC (Ciliwung Watershed Case Study)

Flood disaster is the most common disaster in Indonesia, flood events continue to increase and occur almost every year during the rainy season, on average caused by extreme rainfall above 100 mm, with the number of losses increasing every years, there are many factors that affect One of the causes of flooding is human activities resulting in changes in land use in the form of settlements and agricultural land. This paper aims to present a conceptual reference from the implementation results using software assistance, to determine the level of influence and dependent variables. The method used to assess the most influential factors on flood events, especially in the Ciliwung watershed, is by using Cross-Impact Matric Multiplication Applied to Classification (MICMAC). From the 11 contributing factors analyzed based on the Matrix of Direct Influence (MDI) and Matrix of Indirect Influence (MII) it is known that rainfall and distance from the river are the variables that have the most influence. While the variables with the greatest dependence based on MDI and MII are land cover, slope, population density and river waste, with institutions experiencing a larger variable displacement compared to other variables. The results of the identification of these contributing factors can be used by stakeholders to be careful of each factor as input in anticipating influencing factors.
The effect of Kahoot! learning media on learning outcomes of German language students

This study aimed to determine the effect of the Kahoot! educational game learning media on German language students' learning outcomes in the Sprechfertigkeit 2 course. The sample of this study consisted of 37 students. The test instruments were given during the pretest and posttest. The data were processed and analyzed by the SPSS program. The Cronbach Alpha validity test showed that the study had high validity (0.764). The instrument normality test shows the value of p more than alpha (0.05). The statistical test resulted that the value of t-test=631 (more than t-table=398). The study revealed a significant effect of the Kahoot! educational game learning media on learning outcomes of German students in Sprechfertigkeit 2.
GERAKAN LITERASI SEKOLAH MELALUI PROGRAM POJOK BACA

This study aims to see the school literacy movement through the reading corner program at SMA Negeri 1 Kuantan Mudik, Bukit Pedusunan Village, Kuantan Mudik District, Kuantan Singingi Regency. This research includes descriptive research. The time of this research starts from September 8, 2021 to November 5, 2021. The data collection technique in this study uses observation, interviews and documentation. The results showed that the benefits of the reading corner were broadening students' horizons, adding to the vocabulary collection, training students to be creative, and being able to foster students' reading enthusiasm.
Impoliteness Formulas, Triggers, and Purposes to Refusal as Employed by Iraqi English Learners

The present study aims at scrutinizing the impoliteness types, causes, and purposes utilized by Iraqi English language learners when refusing marriage proposals. Thus, it attempts to answer the questions: (1) what are the impoliteness formulas used by the Iraqi learners of English in refusing marriage proposals?, and (2) What are their impoliteness triggers/causes and the purposes? The study is significant in bridging the gap that few linguistic types of research concentrate on studying intentionality and emotions allied with impoliteness. Data were collected from 35 Iraqi learners of English responding to 6 situations of marriage. The data were analyzed using Culpeper’s (2011) formulas of impoliteness and Bousfield’s (2007) impoliteness triggers and intentions. The findings revealed that the most regular impoliteness formulas were insults and pointed criticisms/complaints. Regarding impoliteness triggers, the Iraqi learners’ responses reflected anger and disapproval as the most common triggers of impoliteness. Lastly, impoliteness was utilized as an instrument of insulting, quipping, and showing grudge when refusing the marriage situations; however, some impoliteness occurred as a counseling technique. The study concludes with some recommendations for future works.
Blockchain-Based Federated Machine Learning for Solving IoT Security Problems

With the advent of technology, we are witnessing huge potential in devices enabled with sensors having advanced processing/computing capabilities. The internet, as a supporting technology has further helped the research community to gain momentum in the field of inter-sensor communication. Internet of things (IoT) has widely penetrated different aspects of our lives. As a result, many intelligent IoT services and applications are now emerging. However, due to insecure design, implementation, and configuration, these devices have potential vulnerabilities which can be potential problems. IoTs generate huge sets of data that need to be pre-processed, scaled, classified, and analyzed before putting to some use. Machine learning (ML) or artificial intelligence (AI) have proved to be very useful for this purpose, where we can use the enormous data to design and train a model for some analytics. Traditional ML approaches were centralized and thus created issues related to the communication overhead, delay in processing, and privacy and security concerns owing to different computing capabilities and power of the connected devices. As a result, Google in 2016 has proposed a new method called federated ML, in which, we have numerous clients distributed over different environments that train on the data that is locally available to create a model. All such local models are then sent to the centralized server and merged to create a global model. Finally, this global model is sent as an update to the individual clients independently. Despite having advantages like being able to provide security and ensure privacy, and benefits of application to power constraint scenarios of sensor devices, there are still some areas that need proper attention like vulnerability of having a single centralized optimization at main server and scalability issues, etc. Moreover, the IoT devices are statistically heterogeneous and vulnerable due to insecure design, implementation, and configuration making it a challenging task to deploy Federated Learning directly. It is for this task blockchains (BCs) can be effectively used owing to their fault tolerance, transaction integrity and authentication, decentralization, etc. In this chapter, the intent is to provide an in-depth analysis of IoT security issues and how Federated Learning along with BC technology can be used to solve them.
Peculiarities of educational migrants adaptation in pandemic conditions: the Lomonosov Moscow state university experience

In the modern global world, in the conditions of intensive migration flows and the deepening of educational contacts, the problem of adaptation of educational migrants in the educational area of the host country is becoming more and more relevant.The COVID-19 pandemic, faced the world in 2020, posed a number of acute problems for universities. Of particular concern was the situation of foreign students as more vulnerable category. This article presents the results of a study of the features andadaptation problems for educational migrants during a pandemic on the example ofLomonosov Moscow State University foreign students. Based on the analysis of statistics and secondary data, the active growth of educational migrants is confirmed, mainly due to foreign students from the CIS countries.To identify the level and problems of the foreign students adaptation, a survey was conducted, in which 284 respondents from 11 faculties took part.The analysis covers organizational, content, communicative and personal components of adaptation. In general, the results of the study revealed a low level of adaptation of foreign students during the pandemic. The most difficult thing is the adaptation of students from far abroad countries, in particular from China. The most adapted are senior students from Kazakhstan. During the pandemic, the main difficulties in adapting foreign students are related to organizational issues and communication. Comparison of the obtained results with previous studies revealed that the pandemic had a negative impact on the communicative component of adaptation to a greater extent. In the context of the pandemic, the number of foreign students who want to stay in the country after completing their studies has decreased.The results obtained in the course of the study made it possible to propose a number of necessary promising measures to organize the process of adaptation of foreign students in the event of the repeated introduction of restrictions on the universities work.
Graph-based Mechanism to Prevent Structural Attack over Social Media

Social media sites contain the personal information of the users, which entice the attackers. The attacker performs different types of attack on the social media site to get the users sensitive information. User privacy may be breached as other passive and active attacks are performed on social media sites; to prevent such a scenario, the network operator releases the data anonymized. Social media operators fetch and store social media users' data to share among various third-party consumers. The network operator releases the complete graph in anonymized and sanitized versions because the fetched information often contains sensitive data. But it does not provide a full guarantee of user privacy. This paper proposed a solution that provides a neighborhood adjacency matrix-based anonymization process for the social network graph. This anonymization process may be used to counter the neighborhood attack over the social network graph. The proposed anonymization process increases the number of isomorphic neighborhood networks by adding dummy edges in the social network graph. Therefore, a user may not be re-identified in a social network graph based on their unique neighborhood.
PERSONALIZED INTELLIGENT VOICE ASSISTANT ANNA FOR SPEECH RECOGNITION USING NATURAL LANGUAGE PROCESSING

As the use of artificial intelligence increases, this technology is more advanced than ever.Artificial intelligence is integrated into the components of life.What was unthinkable 10 years ago is now a casual act, with fluent conversations with computers.This was made possible by concepts of machine learning and speech recognition.That is, you can only run and complete user-designed quests.Plus, get started with audiobooks, SIM tracking, and Google Meet right away.Even if we combine voice technology with human-like conversations, There is no need to talk to our devices and have a conversation to complete our task of choice.The real focus should be on unspoken commands in completing the user's task as quickly as possible.Voice UI is getting popular as it makes the work easy and when it is integrated with a device it will become a good user product.This is why we developed a personalized user-designated model that fulfills all the features and provides a good experience.
COURSEBOOK EVALUATION FROM STUDENTS’ PERSPECTIVES: A CASE STUDY OF AN ENGLISH COURSEBOOK USED AT A VIETNAMESE COLLEGE

&lt;p&gt;Evaluating coursebooks has always been an important process affecting the selection and implementation of coursebooks. The coursebook evaluation can be conducted before, while and after a coursebook is employed for a specific course. While the benefits of coursebook evaluation are recognized, recently published coursebooks are not evaluated properly in some contexts. The present study was designed to gain college students’ evaluation of a new coursebook recently used for their general English course and their recommendations for the editorial board. The findings led to the conclusion that the students shared positive perceptions of the book in general (M=4.17). Importantly, the students highly appreciated specific aspects of the book such as the design, the layout, the presented language and skills, the activities and cultural aspects as well. The study also provided students’ recommendations which the editorial board could take into consideration to improve the coursebook.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0949/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Development of Digital-Based Comic Media to Improve Literature, Reading Understanding and Learning Outcomes in Class III Students Primary School

This research is a research and development of learning media which is an intermediary in distributing the material presented so that it is easy for students to understand the material presented by the teacher. The results of observations and interviews conducted before conducting research showed that learning activities were still using the 2013 curriculum book, learning media was still minimally used resulting in students getting bored in Indonesian subjects which had an impact on literacy skills. This research uses research and development (R&amp;D) methods. This research was conducted at SD IT Bina Amal Semarang, Central Java, Indonesia with a total of 28 students. The validation results obtained media validators with a value of 62 very valid categories, material and language validators with a value of 45 very valid categories. The results of the preetest and posttest values ​​were tested using the N-gain value. The result of the N-gain value is 0.9250 with a very high category, meaning that digital-based comic media is very effectively used to improve literacy skills for third grade elementary school students. Keywords: Media comics, Comics, Indonesian.
The Relationships among Cryptocurrencies: A Granger Causality Analysis

The topic of Cryptocurrencies is emerging rapidly. Many investors and public want to invest in digital currencies. So, the nature of cryptocurrency and its theoretical understanding is essential currently. The aim of this research is to study major Cryptocurrencies having capitalization above $1bn and construct directed networks. Eleven major Cryptocurrencies are Bitcoin (BTC), Ethereum (ETH), Cardano (ADA), Binance Coin (BNB), Tether (USDT), Ripple (XRP), Doge Coin (DOGE), USD Coin (USDC), Bitcoin Cash (BCH), Chainlink (Link) and Litecoin (LTC). By using returns Granger Causality test was conducted. This test help in concluding that whether change in one price of cryptocurrency cause a change in other Cryptocurrencies or not. After analysis of results, it was concluded that there is a variation in the Cryptocurrencies relation. Some shows a direct cause and effect relation, while some have a unidirectional relation. However, some of them also showed no meaningful relationship. The relationship among these Cryptocurrencies was then showed using directed networks.
Performance Tuning Of Apache Spark Framework In Big Data Processing with Respect To Block Size And Replication Factor

Apache Spark has recently become the most popular big data analytics framework. Default configurations are provided by Spark. HDFS stands for Hadoop Distributed File System. It means the large files will be physically stored on multiple nodes in a distributed fashion. The block size determines how large files are distributed, while the replication factor determines how reliable the files are. If there is just one copy of each block for a given file and the node fails, the data in the files become unreadable. The block size and replication factor are configurable per file. The results and analysis of the experimental study to determine the efficiency of adjusting the settings of tuning Apache Spark for minimizing application execution time as compared to standard values are described in this paper. Based on a vast number of studies, we employed a trial-anderror strategy to fine-tune these values. We chose two workloads to test the Apache framework for comparative analysis: Wordcount and Terasort. We used the elapsed time to evaluate the same.
Applying Encryption and Decryption Algorithm for Data Security in Cloud

Data security refers to the method involved with safeguarding information from unapproved access and information corruption all through its lifecycle. Data security includes information encryption, hashing, tokenization, and key administration practices that protect information across all applications and stages. Cloud framework for getting to information with mysterious confirmation gives safer client verification, client revocation and prevents replay attacks. Access control is handled on cloud KDCs it is overall safer aimed at information encryption. Produced decentralized KDC's are then gathered by (KGC). Framework gives confirmation to the client, in which just framework approved clients can unscramble, view the put away data. Client approvals and access control plot is presented in cloud, which is important for hindering replay attacks and supports change of data set aside in the cloud. The entry control plot is procuring thought since just upheld clients should approach genuine examine. Our arrangement thwarts maintains creation, replay attacks, scrutinizing and adjust data set aside in the cloud. We in like manner address client disavowal. The issues of endorsement, access control, security affirmation should be handled simultaneously.
Ask Librarian: Penerapan Teknologi Informasi Perpustakaan pada Layanan Referensi di Perpustakaan Umum Asia

Reference unit is the core service of the libraries in fulfilling the information needs of their users. As technology develops, reference services are currently switching to virtual to facilitate users in reach their information. The purpose of this research is to review and analyze the actual implementation of the impact of information technology on current library reference services, in Asian continent countries; and to know what are features used in reference services development. The method used is a qualitative approach through literature study. Data were obtained by making virtual visits to public library websites in Asia that have implemented the Ask Librarian reference service. The results show that (1) the impact of technological developments on reference services made it easier for users to ask questions through the Ask Librarian for 24 hours to obtain an information that they needed; and (2) there are five types of virtual reference Services applied that can be used by users, namely: (a) Internet Reference Enquiry Service via email and/ or form; (b) Live-chat; (c) FAQs (Frequently Asked Questions); (d) Links to Other Library Reference Services; and (e) Call the Librarian.
Secure encrypted image parsing over server

Security of data is the major concern in today’s scenario. Transferring of data from one source point to a destination point is referred as data transfer. Encryption is one of the methods which is widely used for transfer of information over secured communication channel. Through security of various encryption techniques, we can make our data safe from hackers. Confidential data can be secured by various proposed methodologies and algorithms. Survey has been performed taking into consideration various image encryption techniques and algorithms as well as procedures in this paper and reference ideas about various cryptography techniques and discussed about the challenges faced in the image encryption.
Deep Dense Autoencoder Using Modulation Spectrogram for Machine Unsupervised Anomaly Detection

The purpose of this paper is to design an abnormal sound detection system to detect abnormal sound during mechanical operation. The system uses the modulation spectrogram as a feature of the sound signal to train a dense autoencoder. Using the development set provided by DCASE2021 to compare 7 machine types with its baseline system, the result is better than the baseline system. Among the 7 machine types, the effects of Fan, Gearbox, Pump, Slider and Valve are significantly better than the baseline system provided by DCASE2021. By comparison, we believe that the method of feature extraction has an impact on the training of the neural network. In addition, the number of layers of the neural network should not be too large.
Perancangan Aplikasi Donasi Kreativitas Mahasiswa Universitas Muhammadiyah Bengkulu Menggunakan Algoritme Sequential Search

Developments in the world of education are indicated by many types of competitions held by various parties aimed at improving the creativity, idea, and inovation of student .This application research aims to build an application for students creativity donation so that can help alleviate financial problem for activities and competions, and it is hoped increase students motivation and interest to be more successful in their work and competition.To process direct test method,the Black Box system was used.This application is developed using the PHP software and concept MySQL data system.The searching algorithm has been able and works to present convenience in searching for the data on creative activities of Bengkulu Muhammadiyah University students who will be given donations.The application is verified first before all of data is input, so that application can run properly and reliably.
Outreaching optics during the COVID-19 Pandemic: from face-to-face to social networks

In this contribution we show how, in times of pandemic, outreach activities driven by social networks can be a successful alternative to face-to-face events. Designing each activity to properly suit the host platform ensures success.