Reviewerly/exHarmony huggingface dataset:
IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENERIMA POTONGAN UKT BAGI MAHASISWA YANG TERDAMPAK PANDEMI COVID-19 MENGGUNAKAN METODE TOPSIS

The Covid-19 pandemic has caused many new problems, including the community's economy, which has a major influence on the economy in the field of education. For students who are still financed by their parents, many end up not paying the Single Tuition Fee due to the condition of their parents who are not working or have their salaries cut during the Covid-19 pandemic. Decision Support System for Determining UKT Deduction Recipients for Students Affected by the Covid-19 Pandemic Using the Topsis Method. Can be a solution for universities to determine recipients of rocks from the Ministry of Education and Culture. Methodology This research was conducted with a 2-method approach, namely field studies conducted by interviewing the student affairs department who administers UKT assistance programs at universities and library studies to collect information related to decision support systems using the TOPSIS method. The results of the study in the form of a Decision Support System application using the Topsis Method helped accelerate the Higher Education Party to get a list of names of students who would receive UKT assistance. This web-based system is built with the PHP 7.4 programming language with the Bootstrap framework and MySQL database.
COVID-19 LITERATURE TREND AND TOPICS ANALYSES USING INTELLIGENT TEXT MINING

With the widespread pandemic, numerous scientific papers on COVID-19 have been published at an unprecedented rate.Keeping up with current trends and main topics of publications on the pandemic seems an impossible task.On the other hand, advanced techniques using big data analytics, machine learning, and automated text mining approaches can be used to obtain an exploratory overview of the COVID literature.This study adopts Asmussen and Møller's smart literature review framework to analyze some COVID-19 publications in the earlier period of the pandemic gathered from the COVID-19 Open Research Dataset.The results show that the smart literature review framework is promising to identify hidden research themes or patterns in the published literature related to COVID-19.
ANALYSIS OF APPLICATION OF ACCOUNTING INFORMATION SYSTEM IN PROCESSING SALES TRANSACTION AT PT. DAIHATSU ASTRA MOTOR SISINGAMANGARAJA

This study aims to examine the sales accounting information system implemented by PT Daihatsu Astra Motor Sisingamangaraja. Then it can be identified whether the information system has been implemented according to the right internal control structure or not and to determine the company's development through financial ratios that are limited to the sales department. This type of research is a case study, which contains exposure or relevant data from the results of research on the object. Qualitative methods are used in flowchart analysis and quantitative methods are used to calculate financial ratios that are limited to sales. Primary data is data that comes from the original source and is collected specifically for the purposes of the research being conducted. Secondary data is data produced by companies such as financial statements and accounting records. Data collection methods are interviews and direct observation. The results of this study are overall PT Daihatsu Astra Motor Sisingamangaraja has carried out car sales activities, spare parts / spare parts and service services with an accounting information system in accordance with the components of the internal control structure model. The majority of transactions that occurred at PT Daihatsu Astra Motor Sisingamangaraja actually decreased, this was due to the author's limitations in obtaining related financial statement information. Thus, it can be concluded that the accounting information system applied by the company is mostly appropriate and effective because it is appropriate so that it can support internal sales control.
A Comparative Analysis of Semantic Web Databases Based on Scalability and Performance

Research is rapidly increasing day by day that taken too much efforts in exploring some interesting and some related publications over the internet.as we already know that every data bases have a different architecture that varies the performance in terms of storage architecture and medium. In this research paper we analyzed of two main big data types of Semantic web that iscategorized into two types (i) in memory Native (ii) Non-native Non-memory which are disk reside and Non-native is used for services management for instance, SQL, MySQL, and another is Oracle that is just used for storing purpose. Data bases is very important model specially, when any model come into existence. For instance, when we offer for storing purpose of that data then where it should have o store and then definitely it must be access efficiently. The proposed methodology consist test case for data retrieving and query optimization method to analyze performance of databases. When we talk about access data bases from any source then we query them for accessing. LUMB (Lehigh University Benchmark) is being used for testing performance and it cannot be used for storing data. Semantic Web Data (SWD) give a capability in such a way if anybody want to access / encode related data then it can be retrieved efficiently. Our main objective of research we have compared two types of SWD Native store and Non-nativestore and then we analyzed them
How Interlanguage Process of Students L2 During the Pandemic Era?

During the COVID-19 pandemic, all activities are carried out virtually and the learning process is included in the effort to learn the target language (IL) in the Interlanguge process. The purpose of this article is to identify what applications students use in their respective L2 processes in the interlanguage process. To collect data in this study, researchers used interviews. Data collection was carried out by interviewing with the help of an interview guide conducted with 6 students of SMK Amal Ikhlas Kampar. The results of this study indicate that students use the Youtube application to achieve the target language mastery level in the inter-language process.
“Post-material” discourse in digital society: Transformation for values as the basis of a new philosophy of education

The paper analyses the prerequisites for the transformation of the idea of post-material in digital society as the basis for a new paradigm in philosophy of education. The analysis of educational and value transformations is carried out in view of the correlation between formal and informal epistemological systems as well axiological constructs based on them. In other words, the analysis compares the correlation between values and power. Post-materialism brings to the fore cognitive issues facing modern humanities and opens a new frontier in the study of subjectivity in digital society. The “value revolution early in the 21st century a dramatic impact on the worldview of young people: the former “material” values of adaptation and security were replaced by post-material values of self-realization, self-development, environmental issues, and care of oneself. This opened up new vistas and meanings of human life, social initiative, creativity creative thinking. These transformations set in motion the tectonic plates of the changing social and educational paradigms. In this sense, post-material values go beyond materialism and non-materialism, representing neither of them and creating a fundamentally new typology of understanding labour, motivation and self-actualisation. The most important category to evaluate a human in a supra-informational society is mindfulness: post-material values are viewed as an imaginative capital that looks into the future, creates new types of social relations and orms a new philosophy of Education 3.0. It is concluded that VUCA is the system that best responds to the demands of present day and the changes occurring in the debate on the post-material.
Sistem Infomasi Pengaduan Masyarakat Desa Berbasis Android

Public service is an important thing that must be considered in the development of an autonomous region, because it is directly related to the welfare of the community as well as in accordance with basic reforms in the field of government. However, community services in the Sumberanyar village, especially in terms of complaints such as complaints about social assistance, infrastructure and other complaints are still done manually and have not used an adequate system, where the Sumberanyar village community needs to come to the village office to convey their aspirations and complaints and in Sumberanyar village there is no means to convey aspirations and complaints so that public aspirations or complaints cannot be carried out optimally and data on community complaints are not well documented. Therefore, it is necessary to have an application that can make it easier for the community to make complaints, the Android-based information system for community service in Sumberanyar village, Paiton district, is a solution to overcome the problems that have been described. This application was built using the Waterfall SLDC (Software Development Life Cycle) model, from the results of this study it was concluded that the application is very suitable for use by the public to make complaints and convey aspirations and all features in the application can be used properly.
Parametrization of Heliophysical Data Using Autoencoders

One of the most important steps in any AI/ML application is the pre-processing of the data. The objective of this step is to project the original data in a new basis, or in a new latent space, where the different features of the problem are comparable and where their distribution covers a large range of values. Using the data in its natural basis can lead to under-performing AI/ML models. While almost all papers in our domain are careful to normalize or standardize the data, it is less frequent to see the use of simple linear PCA transformations, and even less frequent the use of more complex non-linear projections in latent spaces. Here we show how our research team is using autoencoder neural networks to perform non-linear transformations of images, simulations and time-series used in heliophyisical applications. Autoencoder transformations allow to parametrize any type of data by projecting it onto a latent space of higher or lower dimension. In these latent spaces the transformed data commonly presents better statistical properties allowing improvements in the AI/ML modeling. In addition, autoencoders are also known as generative techniques, i.e. they can be used to produce “artificial” or “synthetic” data. We will present three particular examples of the use of autoencoders: 1) parametrization of solar wind observations using standard feed forward autoencoders, 2) parametrization of magnetosphere simulations using convolutional autoencoders, and 3) parametrization and generation of solar active regions using variational convolutional autoencoders. We will show how these parametrizations can then be used for AI/ML classification and forecasting. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 776262 (AIDA).
Study of Effect of Noise on Multi Input Single Output FLC and AIFLC

Abstract: This paper represents effect of noise on multi input and output FLC and AIFLC. Noise is a term referred as unwanted electrical signals that accompany the message signals. These unwanted signals arise from a variety of sources and can be classified as man-made or naturally. Introduction of noise/disturbance causes instability in the control system. Hence, it is very essential to study the effect of noise. Noise reduction is an important issue in any process control application. Noise contaminates the process control signals. Noise imposed on the process controller may be of entirely unknown composition, which degrades the quality of the controlling signals. The sources of noise may be external to the system or internal to the system. In usual laboratory conditions, feedback control systems do suppress noise. The present paper shows the effects of uniform white noise are studied for the speed control of BLDC motor using 3 input single output FLC and AIFLC and 2 input single output FLC and AIFLC. Keywords: Fuzzy logic Tool kit, Labview,
Supervised Learning through Classification Learner Techniques for the Predictive System of Personal and Social Attitudes of Engineering Students

In this competitive scenario of the educational system, higher education institutions use intelligent learning tools and techniques to predict the factors of student academic performance.Given this, the article aims to determine the supervised learning model for the predictive system of personal and social attitudes of university students of professional engineering careers.For this, the Machine Learning Classification Learner technique is used by means of the Matlab R2021a software.The results reflect a predictive system capable of classifying the four satisfaction classes (1: dissatisfied, 2: not very satisfied, 3: satisfied and 4: very satisfied) with an accuracy of 91.96%, a precision of 79.09%, a Sensitivity of 75.66% and a Specificity of 92.09%, regarding the students' perception of their personal and social attitudes.As a result, the higher institution will be able to take measures to monitor and correct the strengths and weaknesses of each variable related to satisfaction with the quality of the educational service.
Drone delivery efficiency, challenges, and potential in Oman during COVID-19

This article provides a unique snapshot of the efficiency of drone delivery services in Oman. The study aims to investigate the performance of drone delivery in Oman during the coronavirus. Therefore, it highlighted the challenges that drone delivery may face in Oman during the COVID-19. One of the significant objectives of conducting this research study is to predict drone delivery services in Oman. The scope of the study’s limits in the drone delivery industry during and post COVID-19 crisis in Oman. This paperwork used a qualitative approach to gather needed data. The researcher conducted semi-structured interviews to collect information from different participants. Findings reveal that Oman is still at the beginning stage of implementing drone delivery services during the coronavirus crisis, requiring a wise mindset, tactical plans, and penitent to grow the drone industry in Oman rapidly. The findings vindicate that Oman did successful experiments for conveying parcels via drones, which is a good prediction for drone appliances in Oman. The results predicted the challenges that drone delivery services may face in Oman: government limitations, technical challenges, privacy challenges, and safety challenges. Therefore, more research in this domain is needed to comprehensively understand better drone delivery services in Oman post the coronavirus era.
Wroclaw Electronic Works: Wrocławskie Zakłady Elektroniczne „Elwro” 1959–2000

Abstract Based on the research potential of the Wrocław higher education center and its achievements in mathematics and automation, Wrocławskie Zakłady Elektroniczne “Elwro” was launched in the capital of Lower Silesia, in the late 1950s. Starting with the production of relatively simple electrotechnical devices, the company transformed in just a few years into a manufacturer of digital machines of its own design, “Odra”. They have found wide application in science, administration, communication and industry − both in Poland and abroad, mainly in the Comecon member states. The 1970s were the period of the peak development of WZE “Elwro”, in which apart from devices of its own design, computers belonging to the so-called Uniform System of Digital Electronic Machines of Comecon countries, were also being produced. The effects of the economic crisis of the 1980s abruptly reduced the orders for computers produced in “Elwro”, and their development and production was slowed down by problems with obtaining materials that were scarce in the country and foreign currency for foreign purchases. The technological distance between the “Elwro” offer and the equipment manufactured in the leading countries of the West was growing. After the start of the system transformation in the country, the management of “Elwro” attempted to carry out radical organizational transformations and grant the company the status of a joint-stock company. However, they were held back for too long by both the lack of government support and the concerns of the works council. Meanwhile, deteriorating economic results forced the management of “Elwro” to reduce employment and sell more and more assets. Ultimately, in 1993, the plants were transformed into a sole-shareholder company of the State Treasury, and then sold to the German concern “Siemens”. For the new owner, the only thing that mattered was the access to the Polish telecommunications market obtained in this way. He did not use the still existing human resources and production potential of “Elwro” and, shortly after the purchase, practically liquidated the company. In 2000, its remains were sold to the American telecommunications company “Teletec Holding”, which changed the name of the company to “Teletec Polska” S.A.
Model for managing extracurricular activities of university students using information and communication technologies

This article is devoted to use of information and communication technologies (hereinafter referred to as the ICT) in education, and their implementation in extracurricular activities of educational organizations. The relevance of the study is due to new trends in the education system in general and in extracurricular activities in particular. Theoretical studies are analyzed according to which a modern university graduate is required to possess general cultural and general professional competencies. It is shown that extracurricular activities at the university provide students with an opportunity to develop supra-professional competencies, create conditions for implementation of their creative potential. The essence of management in the educational system of extracurricular activities using the information and communication technologies was studied. The components of extracurricular activities are provided and the results obtained are described. The main attention in the article is paid to development and implementation of a model of management of extracurricular activities of university students using information and communication technologies. Hybrid extracurricular activities that are conducted with students using information and communication technologies are of interest. The material is of practical importance; it allows to use the offered model of management of extracurricular activities of students. This issue is multifaceted.
A Mind Mapping : A Strategy to Enhance Students’ English Grammatical Structure

The goal of this review was to study about the implementation of Mind Mapping in teaching grammar in the second semester of students of the Department of English Education at IAIN Surakarta. Observation and documentation were the instruments for collecting the data. These instruments were used to collect data on the Mind Mapping process in grammar teaching, problems and solutions. The data analysis technique started with data reduction, data display and verification. First, the findings revealed that the implementation of Mind Mapping in teaching grammar was only used to provide an overview of the material. It was developed by elaborating, questioning, and responding techniques or methods for transferring the material. Mind Mapping made the students active in giving feedback and become a measure in assessing how far the students understood the material during the teaching-learning process, the students were very eager to analyze the material using Mind Mapping. It could be seen from their direct reactions during the teaching-learning process and observed the work of the student in the classroom. Second, there are some advantages to using mind mapping in grammar teaching. They were; (1) giving students an overview of the concept of grammar material; (2) making grammar easier to understand; and (3) helping students to easily memorize the concept of English grammatical structure.
CONCEPTUAL MODEL OF DIGITAL TRACE OF PROJECTS IN THE CONDITIONS OF DIGITALIZATION OF SOCIETY

The problem of creating an effective conceptual model for the formation of digital footprints of projects and development programs in the context of digitalization is considered. The life cycle of projects, knowledge, and management technologies is significantly shortened and digitization processes create requirements for the creation of their digital footprints and shadows. The technical and technological complexity of development projects increases due to innovation. These trends create significant challenges in the development of project and program management systems in the context of digitalization of society. It is proposed to use genomic representations as a basic model and methodology for the formation of digital footprints of projects. The proposed conceptual model of digital footprint formation of projects allows to take into account the external and internal environment of the project within a certain activity. The formalized model of the carrier of methodology of formation of a digital footprint of the project on the basis of system of knowledge of P2M is resulted. The classes of a hypothetically complete model of project management methodology for genome formation within the digital footprint creation are determined. The algebra of methodology which allows to form complex digital footprints of projects and programs is defined.
Analisis Ekuitas Merek Aqua Berdasarkan Persepsi Kualitas Merek (Brand Perceived Quality) Pada Pengguna Media Sosial Instagram

PT AQUA Golden Mississippi, Tbk is one of the many brands thatproduce mineral water with various packaging needed. AQUA asthe market leader in the bottled water product category, has a strongbrand equity. In addition, AQUA increases the perceived quality inthe eyes of consumers by adding a variety of choices of bottleddrinking water of various sizes. In general, the purpose of this studyis to get an overview of AQUA's brand equity, while in more detailthe purpose of this study is to analyze the perception of brand qualityin drinking water in the AQUA brand packaging among the socialmedia users of Instagram. This research is a type of survey research,where the research aims to find out about the measurement of brandequity based on brand perceived quality elements in AQUA brandbeverage products. The number of samples in this study were 374samples, namely 365 women and 9 men. Based on the results of thestudy, it can be concluded from the percentage of 97.9% who chosestrongly agree and agree, that respondents believe in the qualitygiven that AQUA has clear water in the eyes of consumers, 93.3%who voted strongly agree and agree, that the bottled water producedby the AQUA brand does not have a smell or smell in the eyes ofconsumers, 68.2% of AQUA consumers choose strongly agree andagree it is proven that the quality of AQUA is very good, 90.7% whochoose strongly agree and agree, that AQUA is believed to be ahygienic product in the eyes of consumers, 96% who voted stronglyagree and agree, that AQUA can make it easier to consume drinkingwater in the eyes of consumers, 96.3% who choose strongly agreeand agree, that AQUA has an easy logo recognized and rememberedin the eyes of consumers, 96.3% who voted strongly agree and agree,that AQUA has good packaging in the eyes of consumers, 79% whochose strongly agree and agree, that AQUA has the same qualityfrom time to time in the eyes of consumers, 89, 3% who votedstrongly agree and agree that AQUA has a price that is in accordancewith the volume/size in the eyes of consumers