Reviewerly/exHarmony huggingface dataset:
Challenges and Innovations in Cybersecurity

The World Wide Web or the internet today is a vast space.It contains information about everything one wants and is accessible at the tip of the finger.Billions of people use the internet every day and most of them at the same time.When we think about the activities taking place on the web, we are bound to think about all the crimes that happen throughout the web.People are exposed to crimes like identity theft, crypto-jacking, cyber extortion, etc.Therefore, their security becomes a serious question and the topmost priority of the creators.Here comes the need for cybersecurity.This paper focuses mainly on the threats faced and the innovations in technology to encounter those threats.
Media Sosial untuk Pembelajaran Bahasa Arab pada Masa Pandemi: Kajian Kualitatif Penggunaan WhatsApp pada Sekolah Dasar di Indonesia

&lt;p class="ABSTRACT"&gt;Learning in the era of 5.0 society has experienced rapid mediation, especially in educational program. Teachers began to innovate using various media, especially using WhatsApp in learning Arabic Language. Arabic language has been considered a very difficult and tedious subject for islamic elementary school children. Efforts and high creative power continue to be done to foster fun learning of Arabic language. The purpose of this study besides want to see how the process and application of WhatsApp social media in learning Arabic language is also to increase knowledge and insight for Arabic teachers in utilizing the development of technology and information at the islamic elementary school level. This research method uses qualitative research by using descriptive analysis. Data collection techniques in this study using observations, interviews, and document notes. The results of this research concluded that WhatsApp social media can facilitate learning and long distance communication between teachers and students when they are in a pandemic, create fun learning, train students' independence, and also have more values, an environmentally friendly. This research suggests that there is more supervision of students in applying WhatsApp social media to learning Arabic language at the islamic elementary school level.&lt;/p&gt;
A Text Mining Approach to Discovering COVID-19 Relevant Factors

This paper describes a text mining approach that utilises the PyLucene search engine and the GrapeNLP grammar engine for extracting links between temperature, humidity and the spread of COVID-19, from a vast collection of scientific publications.The approach was developed in response to a Kaggle challenge from a consortium of research groups to develop text and data mining techniques that can assist the medical community in finding answers to a series of important questions on COVID-19.For this challenge, a large corpus of scientific publications known as the COVID-19 Open Research Dataset (CORD-19) was provided by the consortium.The approach presented in this paper was winner of the competition task of extracting key insights and building summary tables of COVID-19 relevant factors such as temperature and humidity.
Semantic Description of Plant Phenological Development Stages, Starting with Grapevine

The French project Data to Knowledge in Agronomy and Biodiversity (D2KAB) will make available a semantically-enabled French agricultural alert newsletter. In order to describe/annotate crop phenological development stages in the newsletters, we need a specific semantic resource to semantically represent each stages. Several scales already exist to describe plant phenological development stages. BBCH, considered a reference, offers several sets of stages –one per crop called 'individual scales'–and a general one. The French Wine and Vine Institute (IFV) has aligned several existing scales in order to identify the most useful grapevine development stages for agricultural practices. Unfortunately these scales are not available in a semantic form preventing their use in agricultural semantic applications. In this paper, we present our work of creating an ontological framework for semantic description of plant development stages and transforming specific scales into RDF vocabularies; we introduce the BBCH-based Plant Phenological Description Ontology and we illustrate this framework with four scales related to grapevine.
Lexicographic Repair Under Querying Prioritised DL-Lite Knowledge Bases

This article discusses the issue of inconsistency in responses from various DL-Lite knowledge bases. This inconsistency problem is at the origin of several sources of assertions with different levels of reliability. The various solutions proposed in the literature that have to do with retrieving an exhaustive and coherent list of responses are not satisfactory from the point of view of reliability and performance. The solution that we present to solve this problem is articulated around two phases: the first phase consists of interrogating the different knowledge bases to retrieve all of the possible answers, which may be inconsistent and/or contradictory, and the second phase consists in repairing these inconsistencies and/or contradictions. To do this, we propose an approach based on three algorithms that we developed in this framework: a first algorithm for non-defeat repair, a second algorithm for lexicographic repair and a third algorithm for non-defeat repair based on lexicography of possible inconsistent responses. The experimental study carried out on the different data collections, as well as the analysis of the results obtained, confirm the performance of our approach as well as its efficiency in regards to productivity and complexity in terms of execution time.
AN ANALYSIS OF ENGLISH TEACHERS’ CREATIVITY IN MEDIA-BASED LEARNING AT THE TENTH-GRADE STUDENTS

This study aims to describe English teachers' creativity in using learning media in the tenth grade students at SMK Pencawan Medan. This study is descriptive qualitative. The data were obtained by interview. The data analysis followed some steps, namely collecting data, reducing, display data, data verification and create reports. The results showed that teachers employed the various teaching-learning media in ELT classes. English teachers used various media to make it easier for students to learn and understand the teaching materials. The media include audio, visual, and audiovisual. The most media used in the ELT classes were audio and visual. A small portion of media was made through internet sources. But the teacher has not been optimal in carrying it out, it can be seen from when the teacher uses PowerPoint media, teachers applied it imperfect, and not every day the teacher uses learning media to achieve learning goals. Based on the conclusion above, the researchers give suggestion to the teachers should always looking for creative new things and create active, innovative, and fun learning, and also motivate students to seriously participate in learning even though they study through online.
CAEE: COMMUNICATION-AWARE, ENERGY-EFFICIENT VM PLACEMENT MODEL FOR MULTI-TIER APPLICATIONS IN LARGE SCALE CLOUD DATA CENTERS

the increasing demand for cloud computing services has led to the adoption of large-scale cloud data centers (DCs) to meet the user’s requirements. Efficiency and managing of such DCs have become a challenging problem. Consequently, energy-efficient solutions to optimize the whole DC energy consumption, optimize the application’s performance and reduce the cloud provider operational cost are crucial and needed. This paper addressed the problem of Virtual Machines (VMs) placement of multi-tier applications to maximize the compute resources utilization, minimize energy consumption, and reduce network traffic inside modern large-scale cloud DCs. The VM placement problem with communication dependencies among the VMs is modeled as an optimization problem. In this context, to solve the proposed problem, that formulated as a variant of a multiple knapsack problem, an adaptive genetic algorithm is implemented to find a near-optimal solution to the NP-complete modeled optimization problem. To validate the efficacy of the proposed model, extensive simulations are conducted using CloudSimSDN simulator. The experimental results validate the usefulness of the proposed model and its effectiveness in reducing DC energy consumption and optimize network traffic inside DC.
VANGUARD: A Blockchain-Based Solution to Digital Piracy

Online pirates and Intellectual Property (IP) holders have been in perpetual war over various products like music, movies, software, etc. since the popularity of the Internet. It is estimated that the US entertainment industry loses approximately 29 billion USD every year for pirates. Online piracy has since gone from bad to worse as growing internet users and better broadband connections enable people to share large files freely over the internet. The objective of this research is to investigate the causes and enablers for online piracy in movie industry and to come up with an anti-pirating solution. The primary outcome of the study will consist of a dedicated block chain based anti-piracy system, ‘Vanguard’. This system will provide all-round piracy protection from a built-in streaming service to a component to actively look through the internet for pirated movies and torrents. This system will greatly deter the piracy of movies since the IP holders can ensure their IP rights through this system and quickly act against illegitimate distribution of their media.
A Virtual Optical Holographic Encryption System Using Expanded Diffie-Hellman Algorithm

This paper presents a new method for encrypting information over a Virtual Optical Holographic Encryption (VOHE) system which employs a virtual optical system based on digital holography and Fourier lens. The VOHE system provides parameters such as propagation wavelength (λ) and focal length (f) of the Fourier lens which are keys that are used for encryption and decryption processes. The encrypted holographic information is based on an expanded Diffie-Hellman (EDH) algorithm. The method of expansion is presented based on a two-dimension complex function EDH-C. Furthermore, an expanded Pollard's Rho method was applied to evaluate the security of the proposed EDH-C algorithm. To determine the accuracy of the information retrieved by a receiver site, the mean absolute error (MAE) was calculated between the original code and retrieved code. Finally, the randomness of the transmitted message for both methods was evaluated using NIST tests and the results show that the message that was encrypted by the proposed EDH-C algorithm had higher security than DH in view of the unpredictability and complexity of the transmitted message over an insecure channel.
Data Mining Approach for Educational Decision Support

data mining techniques in education sector have begun to evolve, along with the development of technology and the amount of data that can be stored in an education database storage system. One of them is a database of Bidikmisi scholarships in Indonesia. The Bidikmisi data used in this study will be classified using classification data mining technique. The technique that used in this study is random forest in combination with boosting algorithm and bagging algorithms. These algorithms also combine with SMOTE algorithm to handling the imbalance class in dataset. Based on the performance criteria G-mean and AUC, the algorithm combines with SMOTE tended to be better. The classification accuracy of each method being more than 90%
Adaptive Particle Swarm Optimization with Gaussian Perturbation and Mutation

The particle swarm optimization (PSO) is a wide used optimization algorithm, which yet suffers from trapping in local optimum and the premature convergence. Many studies have proposed the improvements to address the drawbacks above. Most of them have implemented a single strategy for one problem or a fixed neighborhood structure during the whole search process. To further improve the PSO performance, we introduced a simple but effective method, named adaptive particle swarm optimization with Gaussian perturbation and mutation (AGMPSO), consisting of three strategies. Gaussian perturbation and mutation are incorporated to promote the exploration and exploitation capability, while the adaptive strategy is introduced to ensure dynamic implement of the former two strategies, which guarantee the balance of the searching ability and accuracy. Comparison experiments of proposed AGMPSO and existing PSO variants in solving 29 benchmark functions of CEC 2017 test suites suggest that, despite the simplicity in architecture, the proposed AGMPSO obtains a high convergence accuracy and significant robustness which are proven by conducted Wilcoxon’s rank sum test.
Ranking-based hierarchical random mutation in differential evolution

In order to improve the performance of differential evolution (DE), this paper proposes a ranking-based hierarchical random mutation in differential evolution (abbreviated as RHRMDE), in which two improvements are presented. First, RHRMDE introduces a hierarchical random mutation mechanism to apply the classic “DE/rand/1” and its variant on the non-inferior and inferior group determined by the fitness value. The non-inferior group employs the traditional mutation operator “DE/rand/1” with global and random characteristics, which increases the global exploration ability and population diversity. The inferior group uses the improved mutation operator “DE/rand/1” with elite and random characteristics, which enhances the local exploitation ability and convergence speed. Second, the control parameter adaptation of RHRMDE not only considers the complexity differences of various problems but also takes individual differences into account. The proposed RHRMDE is compared with five DE variants and five non-DE algorithms on 32 universal benchmark functions, and the results show that the RHRMDE is superior over the compared algorithms.
Mobile Technology in Indonesian Nursing Education: Potential and Challenge

Introduction: Mobile technology such as smartphones and laptops have been a potential learning tool in both academic and clinical facets of nursing education. However, potentials and challenges of m-technology vary depending on individual, social, technological, and pedagogical conditions. And, studies of this issue in developing countries are lacking. Objective: This study aims to explore the potentials and challenges of m-technology integration in Indonesian nursing education. Method: 25 nursing faculties from three different nursing schools in Yogyakarta participated through an online questionnaire. 8 of them were purposely taken for semi -structured interviews. The data were presented cross-sectionally through descriptive statistics and ascertained with participants voices. Results: The findings delineated how mobile technology leveraged in both academic and clinical of nursing instructions. Three main potentials identified were to promote ubiquitous learning, build autonomous learning, and enhance technological knowledge. Technology affordances, psychological aspects, and nursing students attitude emerged as challenges in the current nursing education context. Social, individual, technological, and pedagogical aspects were discussed. Conclusion: Mobile technology is potential to mediate and provide better learning for nursing students in academic and clinical settings. However, faculties’ pedagogical knowledge and learning regulation of online learning are required to be analysed further.
Type of mineralization and studies of fluid inclusions of the Bolboli2 copper ore deposit, northeast of Sirjan, SE Iran

Type of mineralization and studies of fluid inclusions of the Bolboli2 copper ore deposit, northeast of Sirjan, SE Iran
PERANCANGAN TATA KELOLA TEKNOLOGI INFORMASI MENGGUNAKAN FRAMEWORK COBIT 2019 PADA HOTEL XYZ

Astara Hotel Balikpapan is one of the business units engaged in the hotel sector which has a 4 star rating so it requires facilities and infrastructure so that hotel services are satisfying.One of them is, information technology to support business processes contained in Astara.This research aims to design a governance system so as to produce an important process for Astara.The stages are carried out by analyzing the state of Astara Hotel based on the eleventh design factors which consist of aspects of strategy to company size.An important process for Astara consists of BAI05 Managed Organizational Change, BAI06 Managed IT Changes, BAI07 Managed IT Change Acceptance and Transitioning, BAI11 Managed Projects, BAI02 Managed Requirements Definition, and BAI03 Managed Solutions Identification & Build which have capability targets at levels 3 and 4. Furthermore, an assessment of the capability level of the process related to IT governance is applied so that it can be seen the extent of the company's ability to carry out the process.So that the results obtained that the processes that have level 2 capabilities are BAI02 and BAI06.Whereas processes that have level 1 capability are BAI03, BAI05, BAI07, and BAI11.All processes that have been assessed have proven to have not achieved their capability targets.Therefore, recommendations are given to improve these processes in order of priority.All information obtained at each stage is based on interviews with IT staff, HRD Managers, and Astara Hotel Chief Accounting.Design methods, assessments and recommendations are based on the 2019 COBIT guidelines: Design Guide and COBIT 2019: Framework Governance & Management.
Stochastic Diffusion Model for Analysis of Dynamics and Forecasting Events in News Feeds

One of the problems of forecasting events in news feeds, is the development of models which allow for work with semi structured information space of text documents. This article describes a model for forecasting events in news feeds, which is based on the use of stochastic dynamics of changes in the structure of non-stationary time series in news clusters (states of the information space) on the basis of use of diffusion approximation. Forecasting events in a news feed is based on their text description, vectorization, and finding the cosine value of the angle between the given vector and the centroids of various information space semantic clusters. Changes over time in the cosine value of such angles between the above vector and centroids can be represented as a point wandering on the [0, 1] segment. This segment contains a trap at the event occurrence threshold point, which the wandering point may eventually fall into. When creating the model, we have considered probability patterns of transitions between states in the information space. On the basis of this approach, we have derived a nonlinear second-order differential equation; formulated and solved the boundary value problem of forecasting news events, which allowed obtaining theoretical time dependence on the probability density function of the parameter distribution of non-stationary time series, which describe the information space evolution. The results of simulating the events instance probability dependence on time (with sets of parameter values of the developed model, which have been experimentally determined for already occurred events) show that the model is consistent and adequate (all the news events which have been used for the model verification occur with high values of probability (within the order of 80%), or if these are fictitious events, they can only occur over the course of inadmissible long time).
A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982)

This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world.
Penerapan Metode Rapid Application Development (RAD) dalam Rancang Bangun Sistem Informasi Rapor Online (SIRALINE)

Abstract— The report card processing system on Imam Syafi'i Jember Islamic Elementary School still not yet computerized. Report card score processing is still using Microsoft Excel and count it manually. So there can be any mistakes in calculation, and report card processing needs a lot of time. With this online report card information system, hopefully it can make it easier for schools to manage report cards in a way that saves time and effort and avoid miscalculation of report card scores. At this writing, the writer is still using the Rapid Application Development (RAD) method. Applications created using Codeigniter 3 for the framework, PHP for the programming language, MySQL for the database, and Visual Studio Code as tools to help create theinformation system. This system helps in the processing of report cards to print the results of report cards that are conveyed well and quickly. Intisari — Sistem pengolahan rapor pada SD Islam Imam Syafi’i Jember masih belum terkomputerisasi, yaitu mengola nilai rapor masih menggunakan Microsot Excel dan menghitungnya masih dengan cara manual, sehingga bisa terjadi kesalahan dalam perhitungan dan proses pengolahan rapor membutuhkan waktu yang lama. Dengan adanya sistem informasi rapor online ini, diharapkan dapat mempermudah pihak sekolah dalam mengola rapor dengan cara yang lebih hemat waktu dan tenaga, dan menghindari kesalahan perhitungan nilai rapor. Pada penulisan ini penulis menggunakan metode Rapid Aplication Development (RAD). Aplikasi yang dibuat menggunakan Codeigniter 3 untuk framework, PHP untuk bahasa pemrograman, MySQL untuk database dan Visual Studio Code sebagai tools membantu pembuatan sistem informasi tersebut. Sistem ini membantu dalam proses pengolahan rapor sampai mencetak hasil rapor yang tersampaikan dengan baik dan cepat.
Image Segmentation to Secure LSB2 Data Steganography

A digital color image usually has a high resolution, thus its size is good enough and the image can be used as a covering (holding) image to hide secrete messages (short and long). The methods commonly used for data steganography, e.g. LSB and LSB2 are not secure, so in this paper, a method of securing the LSB2 method is proposed. The proposed method is based on wavelet packet decomposition. The levels of decomposition will be kept in secret and one of the resulting segments will be used as a covering segment. MSE, PSNR, hiding time, and extraction time will be experimentally analyzed to prove that the proposed method is capable of handling the process of hiding secret messages, either sort or long.
Pelatihan Penggunaan Platform Aplikasi E-learning Schoology Pada Guru SMA

The purpose of this devotion is to increase knowledge and insight into the innovation of e-learning based learning for teachers of SMA Negeri 4 Kendari can be done through training activities in the application of Schoology. This activity was attended by 15 people in the teachers of SMA Negeri 4 Kendari with the implementation method of devotion using lecture methods, questions and answers, and simulations. The results of this dedication show that (1) the trainees have a knowledge of the use of e-learning application Platform Schoology, (2) The trainees already have a learning class using the platform E-Learning Application Schoology, and (3) The trainees have been knowledgeable in creating and developing the content of e-learning Schoology application