Reviewerly/exHarmony huggingface dataset:
Development of Library Information System Web-based of SMA Negeri 1 Mojolaban Sukoharjo

SMA Negeri 1 Mojolaban has a library with several librarians. The library system used by SMA Negeri 1 Mojolaban still uses conventional methods, which results in less optimal library services. Based on the obstacles experienced by SMA Negeri 1 Mojolaban, a library information system is needed that can make it easier for librarians to manage data. This study aims to assist librarians in managing library administration, reporting, and free letter libraries. This research was developed with the waterfall method which consists of several stages, namely System Requirements Gathering and Analysis, System Development, System Implementation and study coding, program testing, Deployment, and Maintenance. Program writing combines several languages such as HTML, Bootstrap, and the Codeigniter framework. After being developed, the system will be tested using a Blackbox and then Deployment using User Acceptance Testing (UAT). The system is considered valid and according to its function from the results of the Blackbox assessment. The UAT test results get an average value of 88.63% of the 52 participating respondents, so the system is good enough. The result is that it is easier for librarians to manage library data and book loan transactions.
Social Media Engineering for Issues Feature Extraction using Categorization Knowledge Modelling and Rule-based Sentiment Analysis

A company maintains and improves its quality services by paying attention to reviews and complaints from users. The complaints from users are commonly written using human natural language expression so that their messages are computationally difficult to extract and proceed. To overcome this difficulty, in this study, we presented a new system for issues feature extraction from usersâ€™ reviews and complaints from social media data. This system consists of four main functions: (1) Data Crawling and Preprocessing, (2) Categorization Knowledge Modelling, (3) Rule-based Sentiment Analysis, and (4) Application Environment. Data Crawling and Preprocessing provides data acquisition from usersâ€™ tweets on social media, crawls the data and applies the data preprocessing. Categorization Knowledge Modelling provides text mining of textual data, vector space transformation to create knowledge metadata, context recognition of keyword queries to the knowledge metadata, and similarity measurement for categorization. In the Rule-based Sentiment Analysis, we developed our own rules of computatioal linguistics to measure polarity of sentiment. Application Environment consists of 3 layers: database management, back-end services and front-end services. For applicability of our proposed system, we conducted two kinds of experimental study: (1) categorization performance, and (2) sentiment analysis performance. For categorization performance, we used 8743 tweet data and performed 82% of accuracy. For categorization performance, we made experiments on 217 tweet data and performed 92% of accuracy.
Design &amp; Implementation of Enhanced Security Architecture to Improve Performance of Cloud Computing

Cloud computing offers various features such as creates, configure and customize application online. User can access applications over the Internet and they can also access database via Internet. Open nature and public access make their application vulnerable for several security attacks. This paper attempt to integrated different previously defined security approaches to propose a new and novel model of security. Here, proposed solution approach to improve performance of confidentiality, authentication, integrity and access control with better and strong way. Proposed solution is implemented using java technology and evaluated based on computation time and memory consumption. A detailed comparison with graph is also demonstrated in experimental analysis section.
Inverse Reinforcement Learning with Explicit Policy Estimates

Various methods for solving the inverse reinforcement learning (IRL) problem have been developed independently in machine learning and economics. In particular, the method of Maximum Causal Entropy IRL is based on the perspective of entropy maximization, while related advances in the field of economics instead assume the existence of unobserved action shocks to explain expert behavior (Nested Fixed Point Algorithm, Conditional Choice Probability method, Nested Pseudo-Likelihood Algorithm). In this work, we make previously unknown connections between these related methods from both fields. We achieve this by showing that they all belong to a class of optimization problems, characterized by a common form of the objective, the associated policy and the objective gradient. We demonstrate key computational and algorithmic differences which arise between the methods due to an approximation of the optimal soft value function, and describe how this leads to more efficient algorithms. Using insights which emerge from our study of this class of optimization problems, we identify various problem scenarios and investigate each method's suitability for these problems.
The Preliminary Analysis for Developing Material Teaching Using Augmented Reality for Blended Learning at Fundamental Physics Course

One of the uses of technology in the education sector is the implementing of Augmented Reality (AR) technology at learning activity.This study aims to analyze the implementing of AR technology in course materials of fundamental physics teaching.The implementing of AR technology in physics teaching materials was analyzed based on literature studies.This study used a descriptive qualitative method.This study involved 115 respondents from 7 universities in Indonesia.Based on the results of literature analysis, it is known that AR in learning activity has several advantages.The advantages of AR technology are as follows: 1) make the learning activity more interactive, 2) AR technology very effective, 3) suitable for various media, 4) Simple, 6) Easy to use.Based on the results of field observations it is known that various fundamental physics concepts are abstract.Augmented reality can be used to help visualize abstract concepts.Teaching material by utilizing augmented reality is expected to make it easier to understand the concept.It is relevant to blended learning when learning independently.Augmented reality helps to facilitate understanding of concepts.Depending on results and discussion, it can be concluded that augmented reality can be used to enrich fundamental physics teaching materials.It needs to develop fundamental physics teaching materials assisted by augmented reality.
Continuous Student Knowledge Tracing Using SVD and Concept Maps

One of the critical aspects of building intelligent tutoring systems regards proper monitoring of student's activity and academic performance. This paper presents a continuous student ...
The Concept of Scientific Worldview in the Russian Philosophy of the First Quarter of the 20th Century (Based on the Works by V.I. Vernadsky and L.M. Lopatin)

This article analyses the concept of scientific worldview in the Russian philosophical journalism of the first quarter of the 20th century. It examines and compares the interpretations of scientific worldview in the works by V.I. Vernadsky and L.M. Lopatin. Both philosophers distanced themselves from the positivist model of scientific knowledge; however, Lopatin was able to identify certain elements of positivism in Vernadsky’s ideas on the relationship between philosophy and science. It should be noted that Lopatin left unchanged the juxtaposition of metaphysics and positivism. The definitions of scientific worldview given by the two Russian philosophers are tautological, being reduced to the following: scientific worldview is a set of ideas about the world shared by the majority of scientists of a particular era. Vernadsky and Lopatin used the term scientific worldview as a synonym for the concepts of science, scientific knowledge, scientific thinking, and scientific way of comprehending the world, without attributing any additional meaning to it. The dispute over scientific worldview is actually a dispute about the metaphysical origins, foundations and prerequisites of scientific knowledge as such. The expression scientific worldview (when it implies an organized conceptual unity and not just a set of conclusions in special sciences) indicates no more than one or another metaphysical system and the principle (or set of principles) of thinking that determines it. Thus, the concept of scientific worldview in the works by Vernadsky and Lopatin expresses a vain pursuit to preserve the conceptual unity of philosophical and scientific knowledge, without dissolving philosophy in the theory and methodology of science.
E-Learning Experience of Management Students in B-Schools During COVID-19 Pandemic - A primary Survey

This study is aimed to seek online feedback and conduct phonic interviews of Management students in B-Schools regarding their experience with E-learning methods used by their faculty and institutes. COVID-19 has turned the world into an unrecognizable and unthinkable setting. Various sectors have come together to battle this pandemic. Work from home (WFH) has become a norm and, so has studying from home. The purpose of this study is to understand the technology adoption, teaching and learning process, student engagement, and experience towards virtual classrooms during Lockdown due to COVID 19 in Business schools in Electronic City, Bangalore. This study uses inductive reasoning and qualitative research methodology to collect the data from the students of B-Schools who are currently pursuing courses such as PGDM, M.B.A, M.Com, M.C.A, etc. The students are currently in their hometowns across India and attending classes through various online platforms. The focus of this study is to find out the impact of online education on Learning Aspect and Student Engagement during this period. This study also emphasizes on how the current scenario has an impact on policymakers like educationalists, students, and the adoption of technique by faculty in the future. An indistinct study is done on the tactics and strategies that would be implemented in the ongoing pandemic. The current study is limited to the sample frame of around 300 students from business schools in Electronic City, Bangalore, India. Hence, the findings of this study cannot be generalized forentire India. Even though COVID 19 has created cognitive dissonance in students’ and faculties’ minds towards various situations they have faced in their day-to-day life. The learning and teaching have not stopped and are continuing at a fast pace and without any disruption.
QUALITY ANALYSIS OF PAYROLL INFORMATION SYSTEM BASED ON ISO 9126 IN PT KARYA PRIMA USAHATAMA

PT Karya Prima Usahatama is a company that engaged in Cleaning Service, Gardener Service and Office supporting facilities, the main activities of PT Karya Prima Usahatama are very closely related to human resource management and in 2016 PT Karya Prima Usahatama took the initiative to built Payroll Information System that serves to facilitate its operational activities.The purpose of this study is to analyze the quality of Payroll Information System at PT Karya Prima Usahatama based on ISO 9126 which consist of six quality aspect such as functionality, reliability, usability, efficiency, Portability and maintainability.This Analysis carried out by the method of observation, interview, questionnaire and assisted with software such as SPSS, WAPT 10.0, GTMetrix and Web Browser.The Result for Payroll Information System Analysis with Six Quality aspect from ISO 9126 are still have deficiency in the aspect of Efficiency, in the other words the software still has deficiency in providing the appropriate performance.There are five priority issues from the test result using GTMetrix for efficiency aspect such as Leverage Browser Caching, Inline Small CSS, Avoid Bad Request, Minify JavaScript and Optimize Image
Analysis Evaluation Management Information System Audit Internal Quality

Information systems are very important in this globalization era. Information systems generally can be used as a reference for decision making or to monitor the progress of an activity process. In high education, information systems are no less important than information systems within the company. Higher education is an institution that uses information systems to monitor work systems to improve quality. Higher Education Institute STMIK STIKOM Indonesia has implemented an internal quality assurance system (SPMI). An example of its application is by carrying out an internal quality audit (AMI). To ensure the quality of the application meets the standards and needs of the user, it can be done by performing software testing based on the ISO 25010 standard.&#x0D;
A Classification Method for Academic Resources Based on a Graph Attention Network

Classification of resource can help us effectively reduce the work of filtering massive academic resources, such as selecting relevant papers and focusing on the latest research by scholars in the same field. However, existing graph neural networks do not take into account the associations between academic resources, leading to unsatisfactory classification results. In this paper, we propose an Association Content Graph Attention Network (ACGAT), which is based on the association features and content attributes of academic resources. The semantic relevance and academic relevance are introduced into the model. The ACGAT makes full use of the association commonality and the influence information of resources and introduces an attention mechanism to improve the accuracy of academic resource classification. We conducted experiments on a self-built scholar network and two public citation networks. Experimental results show that the ACGAT has better effectiveness than existing classification methods.
Pengembangan Media Pembelajaran Permainan Ludo Pada Materi Operasi Pengurangan Kelas 3 MIS Sindangraja

This research and development is motivated by the existence of potentials and problems, the potential in this study regarding several learning media that can stimulate or facilitate the learning process. Whereas the problem is that students do not understand the subtraction operation so they have to explain the material repeatedly, this is because there is no stimulus to support the learning process. This can be proven by the average value of 70, and the KKM score in these subjects 75. So it can be concluded that the average score is less than the KKM value. Therefore, a learning media is needed based on these potentials and problems. So that ludo game learning media was created in the MIS Sindangraja class 3 reduction operation. This research is included in the type and design of research development or R&amp;D (Research and Development) of the Borg and Gall type which was carried out at the Sindangraja MIS School with a total of 16 students. The data collection technique was done by using prestest and postest tests. Data were analyzed by SPSS.
Edge Boost Curve Transform and Modified ReliefF Algorithm for Communicable and Non Communicable Disease Detection Using Pathology Images

In this paper, a five phase model is proposed for early detection of communicable and non-communicable diseases like Haemoprotozoan and breast cancer using pathology images.At first, color normalization technique is utilized to improve the visual quality of the collected histology images.Next, edge boost curve transform is employed to segment nuclei and non-nuclei cells from the enhanced images.The developed segmentation methodology delivers good results in overlapped database.Further, the segmented image is converted into one dimensional vectors and then modified reliefF algorithm is applied to choose the active feature vectors to achieve better classification.Finally, deep neural network is accomplished to classify the Haemoprotozoan images as anaplasmosis, babesiosis and theileriosis, and breast images as malignant or benign.From the experimental result, the proposed model; modified reliefF-deep neural network obtained maximum classification accuracy of 97.6% in Haemoprotozoan disease detection and 95.94% in breast cancer detection, which are better related to other comparative techniques like Random Forest, Multi Support Vector Machine and K-Nearest Neighbor.
Locally Turn-Bounded Curves Are Quasi-Regular

The characteristics of a digitization of a Euclidean planar shape depends on the digitization process but also on the shape border regularity. The notion of Local Turn Boundedness (LTB) was introduced by the authors in Le Quentrec, É. et al.: Local Turn-Boundedness: A curvature control for a good digitization, DGCI 2019 so as to have multigrid convergent perimeter estimation on Euclidean shapes. If it was proved that the par-regular curves are locally turn bounded, the relation with the quasi-regularity introduced in Ngo, P.et al.: Convexity-Preserving Rigid Motions of 2D Digital Objects, DGCI 2017 had not yet been explored. Our paper is dedicated to prove that for planar shapes, local turn-boundedness implies quasi-regularity.
Duadic codes over &lt;inline-formula&gt;&lt;tex-math id="M1"&gt;$ \mathbb{Z}_4+u\mathbb{Z}_4 $&lt;/tex-math&gt;&lt;/inline-formula&gt;

In this paper, we study the structure of duadic codes of an odd length n over Z 4 + uZ 4 , u 2 = 0, (more generally over Zq + uZq, u 2 = 0, where q = p r , p a prime and (n, p) = 1) using the discrete Fourier transform approach.We study these codes by considering them as a class of abelian codes.Some results related to self-duality and self-orthogonality of duadic codes are presented.Some conditions on the existence of self-dual augmented and extended duadic codes over Z 4 + uZ 4 are determined.We present a sufficient condition for abelian codes of the same length over Z 4 + uZ 4 to have the same minimum Hamming distance.A new Gray map over Z 4 + uZ 4 is defined, and it is shown that the Gray image of an abelian code over Z 4 + uZ 4 is an abelian code over Z 4 .We have obtained five new linear codes of length 18 over Z 4 from duadic codes of length 9 over Z 4 + uZ 4 through the Gray map and a new map from Z 4 + uZ 4 to Z 2 4 .
Efficient Algorithm for Finding Roots of Error-Locator Polynomials

A novel method for finding roots of polynomials over finite fields has been proposed. This method is based on the cyclotomic discrete Fourier transform algorithm. The improvement is achieved by using the normalized cyclic convolutions, which have a small complexity and allow matrix decomposition, as well as methods of adapting the truncated normalized cyclic convolutions calculation. For small values of degree of the error-locator polynomial the novel method has not only the smallest multiplicative complexity, but the full computational complexity of this method is also less than with other methods. Thus, the multiplicative complexity of the novel method in comparison to the method of affine decomposition (the Fedorenko-Trifonov method) is up to ten times less, although the additive complexity is approximately 10-15% more. The novel method has matrix representation convenient for implementation.
Meta-learning representations for clustering with infinite Gaussian mixture models

Appropriate representations are critical for a better clustering performance. Although many neural network-based clustering methods have been proposed, they do not directly train neural networks to improve the clustering performance. We propose a method that can meta-learn knowledge for clustering from various labeled data and uses the knowledge for clustering unseen unlabeled data. The proposed method trains neural networks to obtain representations such that the clustering performance improves when the representations are clustered by variational Bayesian (VB) inference with an infinite Gaussian mixture model. For the objective function, we propose a continuous approximation of the adjusted Rand index (ARI) by which we can evaluate the clustering performance from soft clustering assignments. Since the approximated ARI and the VB inference procedure are differentiable, we can backpropagate the objective function through the VB inference procedure to train the neural networks. With experiments using text and image datasets, we demonstrate that our proposed method has a higher adjusted Rand index than the existing methods.
Evaluation of Information Quality Kupang City Government Website

Kupang Municipal Government long enough to have a website with a domain name v8.kupangkota.go.id. In this research will be used a descriptive qualitative method, which describes and illustrate the content Government website that have been set by the Ministry of Communications and the use of 10 (ten) dimension of the quality of information that is Accuracy, Consistency, Punctuality, Completeness, Reliability, Availability, Relevancy, Credibility, Efficiency and Value-Added. Based on the results of the evaluation of the quality of Kupang City Government Website information, it can be concluded that the website was not fully present enough quality information for the public. There are still some shortcomings such as the lack of an increase in accuracy of presentation of information, the lack of consistency in the presentation of information as there are pages in which there are three (3) categories that are not accessible or not there is any information. The website is expected to not only serve as a source of information that is passive but dynamic so that the function and role of the website reciprocal effect. In addition, the provincial government should continue to ensure data is always updated and complete, permanent increase in the added value of public services and still make the website as the main medium of public information services.
The Effect of Literature As Authentic Materials for Writing Essays in A Blended Learning Setting

The current situation of teaching and learning process has undergone a drastic change during the COVID-19 outbreak. The conventional classroom meeting is no longer available because of the pandemic. As a result, the classroom interaction is blended with the online learning model until the end of the semester. In a blended learning setting, teachers are forced to be innovative to reach the instructional objectives. As most learning is done online, the use of authentic materials is considered relevant to the current situation. Many authentic materials are available online. Yet, there is no sufficient information on whether the authentic materials can improve college students’ ability in writing essays in a blended learning setting. The purpose of the study was to investigate the effect of literary genre as authentic materials on students’ writing performance. As such, this research uses an experimental design. The target population of the study was all fourth-year students of the English Education Study Program, Faculty of Pedagogy and Psychology, University of PGRI Wiranegara, Pasuruan, East Java, Indonesia. Samples were employed using a systematic random design. The treatment was conducted in 14 meetings between March and June 2020. The main instruments used to collect data were pre-test and post-test. The students’ writing was rated by two ratings using the Jacobs ESL-Composition Profile. The result of the one-sample t-test computation using the IBM SPSS 25 showed that there is a significant difference in the students’ writing performance before and after the treatment (α = 0.00 &lt; 0.05). Therefore, it can be concluded that the use of authentic materials in literary genre can improve the student’s ability in writing essays.&#x0D; Keywords: authentic materials, literature, essay, effect