Reviewerly/exHarmony huggingface dataset:
A Novel Gravity ‎Optimization Algorithm for Extractive Arabic Text Summarization

An automatic text summarization system mimics how humans summarize by picking the most ‎significant sentences in a source text. However, the complexities of the Arabic language have become ‎challenging to obtain information quickly and effectively. The main disadvantage of the ‎traditional approaches is that they are strictly constrained (especially for the Arabic language) by the ‎accuracy of sentence feature ‎functions, weighting schemes, ‎and similarity calculations. On the other hand, the meta-heuristic search approaches have a feature that tolerates imprecision, gets ‎prohibited results, and is not strictly bound by the above ‎restrictions. This ‎paper used the Gravitational Optimization Algorithm (GOA), a powerful metaheuristic ‎approach ‎based on the law of ‎gravity, to address the challenge of extractive summarizing Arabic texts. The objective function of the GOA algorithm is derived based on sentence significance, such as its length, ‎similarity degree, position, statistical term frequency, and named entity ownership. Essex Arabic ‎Summaries Corpus (EASC) was used to evaluate the proposed method and measured by the Recall-Oriented Understudy for Gisting Evaluation (ROUGE). The proposed approach achieved 68.04% Recall, ‎‎58.49% Precision, and 60.05% F1-measure using ROUGE-1, higher than standard summarizers and metaheuristic approaches
BQA: A High-performance Quantum Circuits Scheduling Strategy Based on Heuristic Search

Abstract Quantum computing is currently a research hotspot in both academia and industry. The inherent parallelism of quantum computers and the resulting powerful computing power will bring new solutions to many problems that are difficult for classical computers. However, due to the limitations of technical conditions, it is difficult to achieve full direct coupling of all qubits on a quantum chip. When compiling a quantum circuit onto a physical chip, it is necessary to ensure those two-qubit gates act on pairs of directly coupled qubits by inserting SWAP gates. It will cause great additional cost when a large number of SWAP gates are inserted, leading to the execution time of quantum circuits longer. In this paper, we designed a strategy based on the business of each individual qubit to insert SWAP gates, named Busy-Qubits-Avoid Strategy. On the one hand, we try to hide the time overhead incurred by the inserted SWAP gates by exploiting the uneven distribution of quantum gates over qubits. On the other hand, we also expect the inserted SWAP gates to make as little negative impact on subsequent two-qubit gates as possible. We designed a heuristic function which take into account both of these points. Compared with Srabe and tket, we achieved a better effect. In addition, as the number of two-qubit gates increases, better optimization results will be achieved. This implies higher execution efficiency and lower decoherence error rate.
USE OF ZIPGRADE: A REVOLUTIONARY TOOL FOR GRADE 7 TEACHERS IN CHECKING STUDENTS’ LONG TEST AND UNIT TESTS

The assessment of students learnings allows the teachers to determine the how well the students learn. Assessment plays a significant role in determining the quality of education. This is particularly so when students are properly assessed using various appropriate methods of assessment. Teachers make records of the learners progress by checking the outputs of every learner. Before, checking the learners output is much easier since learners are also doing it by themselves right after taking the exams, however this is not possible in the current situation. Teachers are now the one doing this task alone making it difficult and quite slow. This study aims to provide teachers with a new way of checking the learners output using the ZipGrade phone application. This software can help in checking multiple choice tests, quizzes, and assessments instantly by using Android devices camera as a grading scanner. ZipGrade is a grading app that makes grading effortless while capturing, storing, and reporting with useful data on assessments. The rapid application development will be used in this study. A training workshop for the 15 grade 7 teachers of Don Manuel Rivera Memorial National High School will be conducted in order to give the respondents the knowledge about the benefits of the ZipGrade application and how to use it. The set of data that will be collected from the survey will be tabulated for statistical treatment purposes. It will be analyzed and later be interpreted. The findings of this study will then be used to develop a decision on the implementation of the utilization of ZipGrade in checking students outputs. The wide utilization of this software will truly make teachers work lighter and better and will bring a huge impact to the way teachers get results from the learners outputs, making the process of submitting reports much faster most specially in this time of pandemic where all the tasks are given to the teachers alone without the help of the learners. KEYWORDS: Assessment, checking, output, software, learners, reports
Analysis of Internet Network Installation in Karangjati Village

Advances in information technology are currently growing very rapidly in line with the human need to access information quickly, easily and accurately. The Internet network is one of the tools to meet these information needs. BUMDesa of Karangjati Village creates a small village-owned server that is intended to facilitate the community's Internet needs at a more affordable price than the prices of other internet service providers. The research was conducted to observe and improve the network topology, so as to maximize the internet network belonging to BUMDesa Karangjati Village. In addition, research is conducted to solve problems such as running out of ports when there are additional subscribers or overcoming user modems that are often interrupted by replacing a problematic modem adapter or replacing an old modem with a new modem. The method used is by conducting direct observations and interviews with BUMDesa Jati Lestari Karangjati Village. The proposed configuration scheme is created using the Cisco Packet Tracer simulation application. Based on the results of internet research owned by BUMDesa Karangjati Village, it uses a tree topology because there is only one central server and the IP address address configuration uses class C, because it still uses a network on a small scale. The transmission medium uses a fiber optic cable from the server and the addition of ports will continue to be carried out in line with the increase in internet network subscribers.
Katalog Digital Untuk Promosi Tas Wanita Berbasis Augmented Reality

In today's era, marketing techniques use brochures, pamphlets, video advertisements, newspapers and word of mouth. This has a deficiency in consumer confidence because it cannot interact directly with the product of interest. A good marketing strategy methodology will influence buyer interest and increase sales traffic. In this case it provides opportunities for MSMEs, especially UD. Creative to increase sales traffic. Business progress can be seen from the marketing sector which continues to increase. MSME entrepreneurs use marketing methods in the form of pamphlets and word of mouth. This affects the lack of increased sales. This application is able to provide experience to potential customers to interact directly with products in Augmented Reality. This application displays 3D objects in real time and sees the shape of the object in detail, so that potential customers have more confidence in the product to be purchased. This application feature can add other objects stored in external storage or in the form of links, so users don't have to bother rebuilding the application when they want to add other objects
Aplikasi Media Pembelajaran IPA Untuk MI Berbasis Augmented Reality

MI Darul Huda is one of the Islamic elementary schools iAn the Jabon District, Sidoarjo Regency. The learning process still uses books and 2-dimensional pictures. Therefore, supporting facilities and infrastructure are needed, educational media is one example of learning media that facilitates students in the interactive learning process so that students are not bored and students can see real 3D objects. Increase student interest in the learning process using augmented reality technology. Augmented reality (AR) scientific-based educational media application was developed for Michigan International University to assist student learning. The Multimedia Design and Development Life Cycle (MDLC) is a 6 stage process (concept, design, materials assembly, assembly, testing, distribution), used in this approach or study. Using markers, augmented reality science learning media applications can provide three-dimensional visuals of object markers. The research and testing all led to the conclusion that Android serves as a viable platform for using Augmented Reality as a scientific education tool. AR successfully displays 3D objects based on marker objects, features are able to run according to functions and information on science subject matter can be understood. The best results in displaying objects are from a distance of 10-15 cm with standard light conditions
A Novel Mobile-based Assessment Application for Evaluating Students' Creative Artworks in Higher Education

Over the years, the human evaluation of students' creative artwork has been a thorny issue in creativity research, as the value of student's creative artwork varies from one art expert to another.Therefore, it was necessary, in the digital age, to employ modern technologies to limit human interference in assessing creative artworks of students in a way achieves objectivity, credibility and also maintains the creative and innovative aspect of the artwork.This paper proposes a semi-automated mobile App for assessing students' creative artworks in Egyptian institutions of higher education.The proposed mobile-based artworks assessment app integrates the content analysis approach and views of art experts.The content analysis approach is used to calculate the affinity scores of the student's artistic design with the desired art model and represents 70 percent of the total course score.The art expert opinions are used to calculate the creativity of the student's artistic design and represents 30 percent of the total course score.In two planned stages, the process of evaluating the performance of the proposed mobile-based artworks assessment App was performed.In the first stage, the usability of the proposed mobile-based artworks assessment App was tested, and the findings of this stage were very satisfactory.On other hand, in the second stage, the accuracy of the proposed mobile-based artworks assessment App in assessing students' creative artworks was measured, and the outcomes of this stage revealed that the proposal App achieved an outstanding accuracy above our expectations, making it one of the first digital applications to assess students' art designs in an informed and fair manner.
Analisa Prediksi Kesejahteraan Masyarakat Nelayan Lombok Timur Menggunakan Algoritma Random Forest

The economic life of the people on the coast, especially fishermen, is very dependent on the natural resources that are around, for example, marine resources, which still get the top position in the survival of fishing communities which are widely used and are also included as renewable natural resources. One example used as material for this research is the fishing community in East Lombok, West Nusa Tenggara. The Fishermen's Community can be interpreted as a group of people whose main livelihood is fishermen. The characteristics of the life of this community are different from society in general. Natural factors influence their lives a lot, from their lifestyle to the level of their economy and welfare, which is different from other communities. The purpose of this study is to predict the level of welfare of fishing communities in East Lombok, West Nusa Tenggara by using the classification method and the Random Forest algorithm. The dataset used is private data, the data is taken from fishing applications. Data processing is done to get the result or performance of the algorithm as the best result in predicting. From the existing dataset we use five supporting variables including, Education, family members, wells (related to clean water), employment and housing. The results or targets of this data processing are the level of welfare of fishing communities with prosperous and non-prosperous statuses. The final results of this study are seen using the Confusion Matrix, where the end result is the accuracy value. Random Forest has the highest accuracy value with a value of 93.37% and an AUC value of 0.735%.
Detection and Interpretation of Indian Sign Language Using LSTM Networks

Sign language plays a crucial role in communication for individuals with speech or hearing difficulties.However, the lack of a comprehensive Indian Sign Language (ISL) corpus impedes the development of text-to-ISL conversion systems.This study proposes a specific deep learning-based sign language detection system tailored specifically for Indian Sign Language (ISL).The proposed system utilizes Long Short-Term Memory (LSTM) networks to detect and recognize actions from dynamic ISL gestures captured in videos.Initially, the system employs computer vision algorithms to extract relevant features and representations from the input gestures.Subsequently, an LSTM-based deep learning architecture is employed to capture the temporal dependencies and patterns within the gestures.LSTM models excel in sequential data processing, making them well-suited for analyzing the dynamic nature of sign language gestures.To assess the effectiveness of the proposed system, extensive experimentation and evaluation were conducted.A customized dataset was curated, encompassing a diverse range of ISL sign language actions.This dataset was created by collecting video recordings of native ISL users performing various actions, ensuring comprehensive coverage of gestures and expressions.These videos were meticulously annotated and labelled with corresponding textual representations of the gestures.The dataset was then split into training and testing sets to train the LSTM-based model and evaluate its performance.The proposed system yielded promising results during the validation process, achieving a training accuracy of 96% and a test accuracy of 87% for ISL recognition.These results outperformed previous approaches in the field.The system's ability to effectively detect and recognize actions from dynamic ISL gestures, facilitated by the deep learning-based approach utilizing LSTM networks, demonstrates the potential for more accurate and robust sign language recognition systems.However, it is important to acknowledge the limitations of the system.Currently, the system's primary focus is on recognizing individual words rather than full sentences, indicating the need for further research to enhance sentence-level interpretations.Additionally, variations in lighting conditions, camera angles, and hand orientations can potentially impact the system's accuracy, particularly in the context of ISL.
Design and Build a Quality Assurance Document Archiving Application Using the Rapid Application Development

Higher Education quality assurance is a planned and sustainable process in systematically improving the quality of Higher Education. One of the functions of quality assurance for tertiary institutions is for accreditation activities, in study programs accreditation preparation is an activity that often requires time, energy and the minds of the academic community. The problem that often arises in quality assurance activities is that supporting data and information that are required for completeness have not been well documented. As time goes by, there are more and more documents and the search for documents is getting longer, because you have to open documents in every folder where these documents are not small. The purpose of this research is to overcome some of the problems that arise, including good archive management, documents can be grouped by year or criteria and time efficiency in recapitulating all quality assurance documents. The method used in the development of this system is the Rapid Application Development method, which enables faster system development. Document Archiving Information System for Website-Based Quality Assurance in Informatics Engineering Study Program, University of PGRI Madiun, was created using the Laravel framework, while databases used MySQL. The tools used in the process of making this system are XAMPP for the database server, Visual Studio Code for the text editor. In system testing using black box testing which only tests software functionality, the test shows valid results and no errors or bugs occur.
LEARNING METHODS FOR INCREASING ENGLISH INTEREST

This study aims to find out which learning methods are effective and in demand to increasing English language learning. The research methods using the library research method (library research), namely studies based on expert opinions on learning English. Innovative learning is able to ding and develop self powers that pays attention to the version and use of mass media choosing strategies in learning and teaching is very necessary because it can be effective. Therefore, using media seems to able to build students linear mass media knowledge as a tool that allows students to communicate purposefully. In addition, information and communicate technology participation in social and personal learning and teaching activities. Innovative learning through learning strategies and the use of mass media is crucial in creating effective English learning
Examining the Utilization of Multimodal Resources in Avoskin Advertising Campaigns

The use of language is not only for communication, but also delivering message, expressing emotion, informing each other, and even persuading others. People use different modes of signs for meaning-making, a term referring to multimodality. Multimodal discusses different ways of communication such as verbal, color, gesture, sound, and other resources. The used of multimodal aims to persuade people, and this kind of persuasive is used in Avoskin advertisement to change the viewer into their costumer. Accordingly, this study focused on the persuasive languages used systemic functional linguistic and multimodal. This study conducted to find out the persuasive languages used in Avoskin Beauty advertisement and to investigate how does Avoskin Beauty persuade its audiences. The data this study drew upon analytical tools from systemic function linguistic proposed by Halliday (1976), and multimodal by Kress &amp; Van Leeuwen (1996).Avoskin Beauty advertisements used 5 kinds of persuasive languages to attract the viewers. Furthermore, with the different number of the persuasive language found that not all the persuasive language applied in Avoskin advertisements. In persuading the audiences the advertisements applied all the textual and interpersonal components. While experimental not all the component applied in the advertisement. The music analysis found that the music was not relate to the product advertised, but affecting to the product. In the further, further research can analyze the persuasive language in two or more different advertisement of skincare, or make a comparison the persuasive language used in advertisements of Avoskin and others advertisements. Keywords: Persuasive Language, Multimodal, Systemic Function Linguistic, Advertisement, Avoskin.
Pengurangan Dimensi dengan Metode Linear Discriminant Analist (LDA)

The purpose of this study is to reduce the dimensions of the dataset that affect the prediction of breast cancer. The data used in research is very much data or is called high-dimensional data. The use of classification algorithms has weaknesses when used on high-dimensional data, so an appropriate method is needed to reduce the dimensions or variables used. There are several methods that can be used to reduce dimensions. In this study using the method of linear discriminant analysis (LDA). LDA is a supervised machine learning algorithm that is used to classify data into several classes, using a linear technique to determine the best set of linear variables to unify class data. LDA is used to reduce the dataset variables used by retaining information that is important for the classification process. The method used in this research is using LDA in data processing and then using a logistic regression model for the classification process. The conclusion obtained in this study is that LDA can overcome the problem of multiclass classification. The results obtained were 16 wrong cases out of a total of 455 cases so that the results obtained were 0.035% misclassification.
A New RSA Variant Based on Elliptic Curves

In this paper, we propose a new scheme based on ephemeral elliptic curves over a finite ring with an RSA modulus. The new scheme is a variant of both the RSA and the KMOV cryptosystems and can be used for both signature and encryption. We study the security of the new scheme and show that it is immune to factorization attacks, discrete-logarithm-problem attacks, sum-of-two-squares attacks, sum-of-four-squares attacks, isomorphism attacks, and homomorphism attacks. Moreover, we show that the private exponents can be much smaller than the ordinary exponents in RSA and KMOV, which makes the decryption phase in the new scheme more efficient.
Analisis Sentimen Komentar YouTube TvOne Tentang Ustadz Abdul Somad Dideportasi Dari Singapura Menggunakan Algoritma SVM

Interactions in social media can be seen from comments as feedback from every activity on social media, starting from statuses in the form of text, images or videos. One area of computer technology that can study the meaning of text is text mining. Sentiment analysis or opinion mining is a solution to solving problems to automatically classify opinions into positive and negative. Comments from YouTube video viewers on the TvOne channel about Ustadz Abdul Somad being deported from Singapore. From the various responses in the comment column, information is obtained from unstructured data, so there is a needfor a technique to define the value of information. The focus in this research is to verify the truth and explore the value of structured information so that itcan describe events and topics that are connected from the comments in the YouTube videos which are the object of this research. From the test results above, it can be seen that the performance values from the test results using the Support Vector Machine method get 95.02% Accuracy, 95.02% Recall, 95.18% Precision and 95.01% F1-Score.
Penerapan Sistem Informasi Berbasis Web Untuk Pengelolaan dan Pengarsipan Dokumen

The web-based document archiving information system is an information system that is useful for managing archive storage where the information system created will assist in the process of storing and managing documents. Dr. Hazairin in order to improve the quality of the document archiving process, a web-based document archiving information system was designed, in order to avoid damage and also reduce the storage space for archives and the process of searching for archives can be done anywhere. The document archiving information system was created using the codeinether framework while the method stages carried out in this research process started from field studies, literature studies, interviews, system design and software where at this stage the database design system was used using MySQL, then system implementation and testing and the final stage is system integration and testing. After system integration and testing, the system can be applied to universities where access rights to the system will be divided into 7 parts, namely rectorate access requirements, faculty access requirements, institutional access requirements, bureau access requirements, study program access requirements, unit access requirements, and access requirements super admin