Reviewerly/exHarmony huggingface dataset:
New Model of Feature Selection based Chaotic Firefly Algorithm for Arabic Text Categorization

The dimensionality reduction is a type of problem that appear in the most classification processes. It contains a large number of features; these features may contain unreliable data which may lead the categorization process to unwanted results. Feature selection can be used for reducing dimensionality of datasets and find interesting relevant information. In Arabic language, the number of works applies a meta-heuristic algorithm for feature selection is still limited due to the complex nature of Arabic inflectional and derivational rules as well as its intricate grammatical rules and its rich morphology. This paper proposes a new model for Arabic Feature Selection that combines the chaotic method in the Firefly Algorithm (CFA). The Chaotic Algorithm replaces the attractiveness coefficient in firefly algorithm by the outputs of chaotic application. The enhancement of the new approach involves introducing a novel search strategy which is able to obtain a good ratio between exploitation and exploration abilities of the algorithm. In terms In terms of performance, the experiments of the proposed method are tested using classifiers, namely Naive Bayes (NB), Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) and three evaluation measures, including precision, recall, and F-measure. The experimental findings show that the combining of CFA and SVM classifiers outperforms other combinations in terms of precision.
Empirical Testing of Business Process on Implementation of Accounting Information System

Accounting is currently used in a variety of commercial processes. The commercial process relates to the information system used by the organization, where the implementation of the accounting information system when preparing the organization's financial reports is still experiencing some problems. The purpose of this study is to conduct empirical testing that business processes can have a significant effect on the use of accounting information systems for competitive advantage. The context of this study is that the implementation of accounting information systems in Indonesia based on the accounting data they produce is not satisfactory. The results of the research show that the accounting information system used is influenced by business processes. Implementation of accounting information systems has not been qualified in accordance with the expectations of the banking world. This is because the dimensions of business processes namely time, quality of internal processes, and process flexibility have not been fully considered in accounting information system implementation.
Automated generation of programs for a class of parametric neuroevolution algorithms

The facilities of algebra of hyperschemes are applied for automated generation of neuroevolution algorithms on an example of a binary multiplexer evaluation problem, which is a part of the SharpNEAT system. SharpNEAT is an open-source framework developed in C# programming language, which implements a genetic neuroevolution algorithm for the .NET platform. Neuroevolution is a form of artificial intelligence, which uses evolution algorithms for creating neural networks, parameters, topology, and rules. Evolution algorithms apply mutation, recombination, and selection mechanisms for finding neural networks with behavior that satisfies to conditions of some formally defined problem. In this paper, we demonstrate the use of algebra of algorithms and hyperschemes for the automated generation of evaluation programs for neuroevolution problems. Hyperscheme is a high-level parameterized specification of an algorithm for solving some class of problems. Setting the values of the hyperscheme parameters and further interpretation of a hyperscheme allows obtaining algorithms adapted to specific conditions of their use. Automated construction of hyperschemes and generation of algorithms based on them is implemented in the developed integrated toolkit for design and synthesis of programs. The design of algorithms is based on Glushkov systems of algorithmic algebra. The schemes are built using a dialogue constructor of syntactically correct programs, which consists in descending design of algorithms by detailing the constructions of algorithmic language. The design is represented as an algorithm tree. Based on algorithm schemes, programs in a target programming language are generated. The results of the experiment consisting in executing the generated binary multiplexer evaluating program on a cloud platform are given.
An approach of intelligent searching of information in texts

Paper proposes an approach aimed at question oriented searching of information in texts. Texts are parsed, keywords and extra features of questions are marked, and sentences in text with the most relevant information to question are defined. Proposed approach is applied to Cyrillic and Latin languages. Case study illustrates how to obtain answers to questions about Bulgarian fairytale that is represented on different languages (Bulgarian and English). Evaluation of the proposed approach is introduced. Description of the software architecture and source code of the corresponding software system are represented. Data structures and examples of *.xml files for storing information about question and answers are outlined.
Aplikasi Pengenalan Wajah dengan Metode Adaptive Resonance Theory (ART)

Image processing technology (image processing) at this time can be done using a computer. An image that can be recognized by a computer is called a digital image. One application of image processing (image processing) is the field of face detection (face detection). Today's face detection system is one of the most important technologies. Because, facial recognition systems are closely related to security systems, where facial recognition systems can be applied in various places and situations, namely: security system applications, facial disguise recognition applications, and database information system applications for an institution. In this study, we will discuss facial recognition using the Principal Component Analysis (PCA) method and the Artificial Neural Network (ANN) used is Adaptive Resonance Theory (ART). The application used to conduct this research is Matlab.
Pergerakan Autonomous Pesawat Tanpa Awak Berdasarkan Tinggi Terbang Pesawat

Not much different from the working principle of ordinary aircraft, Unmanned Aircraft also uses an airfoil design on the wings to be able to manipulate aerodynamics so that the aircraft can fly. it's just that airplanes are usually controlled by pilots while Unmanned aircraft are controlled remotely connected by radio signals. To carry out its rift mission, the aircraft is equipped with an autonomous system by determining way-points assisted by GPS so that later the aircraft can fly more precisely than manually controlled directly by humans. When flying automatically, the aircraft is often constrained by failed take-offs and when flying on missions the position of the aircraft making turns (Loop Maneuver) is often imprecise. Therefore, the time taken by the aircraft to perform the loop maneuver is calculated using the circle circumference formula and divided by the average speed of the aircraft.
SEMINAR PUBLIC SPEAKING DAN EVENT ORGANIZER PADA PERANGKAT DESA SUNGAI SERABEK KECAMATAN TELUK KERAMAT KABUPATEN SAMBAS

This Community Service Program (PKM) is a community-based program that aims to improve public speaking skills and event management skills on the device of Sungai Serabek Village, Teluk Keramat District. This PKM reviews about public speaking theory by Arih Budi Utomo with its motto ideas namely IDEAS (Inner power, Delivery, Effect, Authentic, and Self Assessment). In addition, participants also studied the differences between discussions, seminars, symposiums, and workshops which are some of the terms of organizing formal events handled by event organizers. The results of this PKM showed that participants were very enthusiastic to follow what can be seen from the list of presents that meet the targets, the running of question and answer sessions, and interactions during the seminar. The majority of participants are village devices that often become MCs or community leaders in various types of formal and non-formal events feel helped by this seminar and become an exchange of ideas and experiences.
Manfaat Penerapan Sistem Informasi Akuntansi Terhadap Kualitas Laporan Keuangan Bank Jatim Syariah Cabang Jember

The rapid development of information technology and computers. Encouraging companies to utilize ICT to support their business operations. Starting from planning, managing, controlling, evaluating, and presenting data and information to support decision-making activities. One of them is Bank Jatim Syariah through the implementation of an Accounting Information System called ESTIM. This system has the main function of managing all financial transactions and company financial reports online, real-time, and according to standards set by Bank Indonesia and the Financial Services Authority. This study aims to determine the benefits of implementing the SIA on the quality of financial reports. This qualitative descriptive research was conducted at the office of the Bank Jatim Syariah Jember Branch, with data sources from parties involved with the bank's AIS as primary data. The data was obtained through interviews and documentation. Then it is processed using qualitative data analysis method and its validity is tested by triangulation. The results of the study concluded that the implementation of the ESTIM system, as an accounting information system for Bank Jatim Syariah, provides many benefits for companies, especially in the aspects of online and realtime data storage and access, and is able to improve the quality of Bank Jatim Syariah financial reports to Bank Indonesia. Namely by presenting financial reports that are systematic, complete, accurate, fast, and have characteristics as reports that are reliable, relevant, understandable and comparable.
Table interpretation of the temporal description logic LTLALC

Description logics are widely used to describe and represent knowledge in the Semantic Web. This is a modern and powerful mechanism that provides the possibility of extracting knowledge from already existing ones. Thanks to this, conceptual of subject areas modeling has become one of the fields of application of descriptive logics, taking into account the use of inference mechanisms. Conceptual modeling is used to create databases and knowledge bases. A key issue of the subject area modeling is the ability to monitor the dynamics of changes in the state of the subject area over time. It is necessary to describe not only the current actual state of the database (knowledge bases), but also the background. Temporal descriptive logics are used to solve this problem. They have the same set of algorithmic problems that are presented in conventional descriptive logics, but to them are added questions related to the description of knowledge in time. This refers to the form of time (continuous or discrete), time structure (moments of time, intervals, chains of intervals), time linearity (linear or branched), domain (present, past, future), the concept of “now”, the method of measurement, etc. An urgent task today is to create an algorithm for the temporal interpretation of conventional descriptive logics. That is, to show a way in which temporal descriptive logic can be applied to ordinary descriptive logic. The paper presents an algorithm for temporal interpretation of LTL into ALC. Linear, unbranched time is chosen for the description goal. It is presented in the form of a whole temporal axis with a given linear order on it. Only the future tense is considered. The algorithm contains graphic notations of LTL application in ALC: concepts, concept constructors, roles, role constructors, TBox and ABox. Numerous examples are used to illustrate the application of the algorithm.
Peculiarity of the organization of the infrastructure of open science in Ukraine

The growing complexity of scientific tasks and their resource capacity requires the integration of resources - information, computing, telecommunications, and others are necessary for performing scientific research and for the cooperation of scientists, both at the national and international levels. Now the development of an integrated science infrastructure that is interoperable with the European infrastructure using standards and software tools for information interaction is becoming relevant. The forming of national infrastructure should make use of the results of European initiatives regarding the integration of technical and informational resources and ensuring cooperation in conducting research. The combination of information and computing structures begins with the lowest links - institutional, departmental and national, which later will be integrating into common global infrastructures. The article considers approaches to creating conditions and structures based on the cloud technologies for more effective cooperation of scientific teams working on similar scientific problems. The main tasks for forming the basis of the Open science cloud in Ukraine at the national and institutional levels have been formulated on the basis of a detailed analysis of the experience of developing the European Open Science Cloud and regulatory documents relative to open science cloud in Ukraine. The implementation of these tasks, according to the authors, is significant. The main results of the development joint information environment for scientific research at the National Academy of Sciences of Ukraine as a prototype of the National Open Science Cloud integrated into the European Open Science Cloud was present.
Features of building recommendation systems based on neural network technology using multithreading

The article is devoted to the creation of a recommendation system for tourists regarding hotels using a neural network based on a multi- layer perceptron. The work uses the mechanism of parallelization of the training sample of the neural network. To check the quality of the provided recommendations, the average absolute and root mean square errors, accuracy and completeness were used. The results of the experiments showed that when analyzing 10 html pages with descriptions of hotels, the metrics of root mean square error and accuracy gave the best results at 500,000 epochs of neural network training when using 8 processors.
The Effect of Benefit, Ease of Service and Feedback in using the UB-Care Digital Application on the Image of the Institution With Customer Satisfaction (Stakeholder) as Intervening Variable at University of Brawijaya

Problems with the academic community in Indonesia now often involve the wider community, where such actions can injure the integrity of the University as a Higher Education (PT) which has become a formal educational institution in Indonesia. Meanwhile, to manage these problems, which can be done with public service management in accommodating complaints so that they can be resolved in an integrated manner as an embodiment of Good Governance at the university level. The purpose of this study is to evaluate and identify the effect of the UB-Care Application at the University of Brawijaya in managing complaints from stakeholders who have problems, criticisms, and also suggestions related to educational facilities at the University of Brawijaya, wherein this research it involves the existence of the effect of using the UB-Care Application on the perception of utilization, convenience, feedback that can result in customer satisfaction and the end can affect the image of University of Brawijaya itself. The method used in this research is explanatory research or explanation with a quantitative approach using an instrument in the form of a Likert scale questionnaire. The sampling technique is Non-Probity Sampling Purposive Sampling from 100 respondents. The results obtained, namely, the effect of using the UB-Care Application on the perception of utilization, convenience, feedback can affect the image of the University of Brawijaya with the help of customer satisfaction as an intervening variable.
Head first python

Python is a widely used for both learning and real world programming and it is high-level objectoriented programming language created by Guido van Rossum and first released in 1991.Python features a dynamic type system and automatic memory management and supports multiple programming paradigms, including object-oriented, imperative, functional programming, and procedural styles.It has a large and comprehensive standard library.In this research journal paper I want to saw you about introduction about python programming, characteristics of python programming and features of python.In this paper we will also discuss about how python growing faster than the other languages in the recent time supported by research done over the articles procured from various magazines, popular websites and popular computer companies.In this paper I also explain python features, applications, types of programming supported by python and its users.Then at last I will saw you future of python.
Kesulitan Guru Mengembangkan Kecerdasan Kognitif Anak Usia Dini dalam Pembelajaran Online Selama Pandemic Covid-19

Unpreparedness in accepting the transformation of offline education into online is a major factor in the difficulty of accepting online learning.This causes children's acceptance of low learning concepts that cannot be separated from the role of the teacher.This paper aims to find and analyze the weak skills of teachers in managing online early childhood learning during the covid 19 pandemic at PAUD Anggrek Indah Galala 2. The research method used in this study was descriptive qualitative research.The findings indicate that the low cognitive intelligence of early childhood is caused by the lack of PAUD teachers' skills in managing and implementing online learning.Of the 2 teachers who teach, there is 1 teacher who can use and carry out online learning, and even then it is only limited to conveying learning by explaining, without presenting it in pictures on ppt.this creates boredom in the child, which ultimately has an impact on the child's lack of concentration to follow the teaching and learning process.As a result, children are less enthusiastic in participating in online learning.This has an impact on the lack of children's absorption of the material being taught.Of the 11 children, the average cognitive level achieved was at the level of starting to develop (MB) and already developing (SB) and some of them were not yet developed (BB).This data shows that the cognitive intelligence achieved by children has not reached the target of Developing according to Expectations (BSH).Research contributes to providing education for education actors who support the online learning process and other stakeholders in early childhood education in PAUD.
Comparasion of The M, MM and S Estimator in Robust Regression Analysis on Indonesian Literacy Index Data 2018

Regression analysis is a method used to determine the relationship between one dependent variable and one or more independent variables. However, the existence of outliers in the 2018 Community Literacy Development Index data led to the application of statistical methods not sensitive to pencils for analysis. This was the reason for adopting robust regression methods, including the M, S, and MM estimations. Therefore, this research aims to compare these three estimates and select the one with the best estimate based on the parameter estimation model associated with the RSE and R2 values. Descriptive and inferential analysis with robust regression was used due to several outlier data and to provide good regression model results with unbiased values. It was discovered that the S-estimator and MM-estimator are the best methods because they have the most minor Residual Standard Error (RSE) of 1.856 and R2 of 0.9778.
Nowcasting the Transportation and Accommodation Sectors Growth using the Google Trends Index

This research aims to assess the possibility of the daily and weekly Google Trends Index (GTI) to predict the quarterly GDP growth. The U-MIDAS approach is utilized because it allows using of daily and weekly basis data to forecast quarterly indicators without aggregating them onto a quarterly basis hence it does not eliminate useful information on the daily and weekly data. This research uses quarterly GDP for the transportation sector and the accommodation and restaurant sector which are considered potential industries for the future of Indonesia's economy. The result shows that the daily basis GTI can effectively predict the quarterly GDP growth better than the weekly basis GTI based on the RSE scores.
PEMBELAJARAN BLENDED LEARNING MENGGUNAKAN GOOGLE CLASROOM DI PERGURUAN TINGGI

Age 17-19 years is the age of children who are at the college level. In this day and age, they are classified as generation Z children or often referred to as digital natives. Digital natives children are 'opportunistic' and 'omnivorous' people who enjoy things in an online environment (want to get information quickly); likes collaboration from one person to another (networked), and multitask. In the learning process, especially in higher education, this also needs to be considered, in order to help the teaching and learning process run well. Blended Learning is a learning model that combines conventional learning processes and online or network-based learning processes. Students can learn online without also putting aside conventional learning, which in the end these two processes can complement each other. Google Classroom is a system created by Google to assist in the online learning process. The convenience of google classroom which can be accessed via a computer or mobile phone can facilitate teachers and students in the online learning process, for that the purpose of scientific writing is to describe the blended learning process and blended learning using google classroom in universities. The use of google classroom as a system that can support the blended learning process, can make it easier for students to carry out the learning process online or online, and also make it easier for teachers to provide learning even though not in class. Keywords: Blended Learning, Google Classroom, University .Â
Aplikasi Antrian pada SAMSAT di Kota Palopo Berbasis Android

The purpose of this research is to design and create a Queue Application at the Palopo Samsat Office on Android that is easy to use to process queue data sent by users and provide solutions for the Palopo City Samsat Office to make it easier for people to queue without having to wait at the Palopo Samsat Office and can be accessed using android in taking queues and checking vehicle taxes. The research method used in this research is the waterfall method. Data collection methods in this study are data documentation, data collection, problem identification, observation, and literature study. The application is made using the Unified Modeling Language (UML) development method which consists of use case diagrams, activity diagrams, entity relationships and sequence diagrams. The software used in designing this information system uses an API with the PHP programming language, XAMPP as a web server, MySQL as a database, Android Studio as an editor and design. This research resulted in two applications, the admin application, the web admin and user consisting of several functions. This application has been tested using the Black Box testing method. With this application, it is hoped that it can help the community and the Samsat to take queue numbers and check vehicle taxes. From the results of testing the system using a Likert scale measurement, it shows a feasibility level of 62.8%. The results of the instrument validity test are valid for each item. The result of the instrument reliability test is 0.989 reliable.