Reviewerly/exHarmony huggingface dataset:
Gender in the Image of Female Characters in Andrea Hirata's Novel Padang Bulan and Cinta Di Dalam Gelas: A Feminist Review

The findings of researchers about Andrea Hirata's novel were used as research material to describe the study of feminist perspectives that build stories in her sequel novels, namely Padang Bulan and Cinta di Dalam Gelas. Describing gender, the image of Enong, the image of women contained in the novel Padang Bulan and Cinta di Gelas by Andrea Hirata. This research was conducted in the category of novels Padang Bulan and Cinta di Dalam Gelas by Andrea Hirata and then used as teaching materials in High School. The results of the content analysis in the novel Padang Bulan and Cinta di Dalam Gelas, showed that Based on the results of the analysis sourced from the five journals above that examined the feminist perspective of the characters in the nover of Padang Bulan and Cinta di Dalam Gelas by Andrea Hirata, the researcher concluded that the image of Enong in the novel Padang Bulan and Cinta di Dalam Gelas Andrea Hirata's work can be classified into six categories: women, children, sisters, friends, community members, and workers. Women also have rights and various qualities to improve the standard of living owned by men. The gender perspective is analyzed in the novel Padang Bulan and Cinta di Dalam Gelas by Andrea Hirata using a feminist literature review. The form of gender perspective includes gender equality and gender injustice. The form of gender equality in this novel includes, equality in education, equality in politics and organization, equality in participating in competitions. Meanwhile, forms of gender injustice include, subordination of women, women's streotypes, violence against women and workload. So that women must have an independent, intelligent, courageous person and be able to make decisions decisively. Negative stereotypes of women from socio-cultural influences that harm women must be eliminated. From the six image categories of Enong and Maryamah, it is concluded that Enong and Maryamah are responsible and hardworking. As well as its feasibility as teaching material, the image of Enong and Maryamah and gender equality in the perspective of feminism in the novel Padang Bulan and Cinta di Dalam Gelas by Andrea Hirata deserves to be used as teaching material for Indonesian Literature in Senior High School (SHS) because it is in line with the criteria for selecting literature learning materials seen from several aspects that are adjusted to the 2013 curriculum and have achieved core competencies and competencies basic K1.
Automatic Segmentation Method of Visible Light Image of Overhead Line Insulators

Accurate recognition and segmentation of insulator image is an important prerequisite for state perception and defect diagnosis of overhead power line insulators. In this paper, a two-stage image recognition and segmentation method combining the Yolo (you only look once) v5 and Grabcut is proposed for the visible image of insulators. This paper firstly collects images, establishes data set and trains Yolo v5 to realize insulator recognition. Then the recognition box coordinates are used to determine the region of interest, predict the foreground and background, and achieve the adaptive segmentation of insulators based on the Grabcut method. This method is used to identify and segment the on-line monitoring visible light image of overhead line insulators. The results show that this method can accurately locate the edge of insulator under complex background and segment insulator without segmentation and annotation or manual interaction, which can efficiently improve the efficiency of insulator image analysis.
Analysis of Articulation Learning Media to Read Hijaiyah Letters for Low-Grade Deaf Students

Learning media is one of the important things in the child's learning process. The purpose of this study was to determine the teacher's needs for learning media for children with special needs of the deaf type in learning hijaiyah letters. This research technique uses a qualitative descriptive research method, namely by conducting a needs analysis. The research subjects were teachers in special schools who teach the deaf. The results of the study show that the learning media used are still not varied. With this in mind, media development really needs to be done by the teacher. The conclusion of this study is that the learning media used by teachers in learning hijaiyah letters still need to be developed.
A Novel Development of Blockchain based Messaging Application

This research paper proposes a novel messaging application that utilizes blockchain technology to provide enhanced security, privacy, and decentralization. The paper begins by discussing the limitations of traditional messaging applications and the benefits of blockchain-based solutions. The proposed application utilizes a public blockchain network to ensure the integrity and immutability of messages, while also providing end-to-end encryption for increased privacy. The application also incorporates decentralized storage solutions to ensure that messages are not stored on a centralized server, thus reducing the risk of data breaches. The paper discusses the technical details of the application's design, including the blockchain architecture, consensus mechanism, and cryptographic protocols used. Finally, the paper concludes by outlining potential use cases for the application, including secure messaging for businesses and individuals.
Differentiable and Scalable Generative Adversarial Models for Data Imputation

Data imputation has been extensively explored to solve the missing data problem. The dramatically increasing volume of incomplete data makes the imputation models computationally infeasible in many real-life applications. In this paper, we propose an effective scalable imputation system named SCIS to significantly speed up the training of the differentiable generative adversarial imputation models under accuracy-guarantees for large-scale incomplete data. SCIS consists of two modules, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">differentiable imputation modeling</i> (DIM) and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">sample size estimation</i> (SSE). DIM leverages a new <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">masking Sinkhorn</i> divergence function to make an arbitrary generative adversarial imputation model differentiable, while for such a differentiable imputation model, SSE can estimate an appropriate sample size to ensure the user-specified imputation accuracy of the final model. Moreover, SCIS can also accelerate the autoencoder based imputation models. Extensive experiments upon several real-life large-scale datasets demonstrate that, our proposed system can accelerate the generative adversarial model training by 6.23x. Using around 1.27% samples, SCIS yields competitive accuracy with the state-of-the-art imputation methods in much shorter computation time.
IMPROVING LEARNING OUTCOMES IN WRITING POETRY THROUGH CONTEXTUAL TEACHING LEARNING (CTL) IN CLASS V STUDENTS

The purpose of this study was to determine whether the learning outcomes of Indonesian language poetry writing materials for fifth grade students could be increased through the application of the contextual teaching and learning (C This research is classroom action research (CAR). The results showed an increase in student learning outcomes. In the first cycle, the average score reached 71 with a learning completeness percentage of 68%. In the second cycle, the average value reached 79.25, an increase of 8. 25 points from cycle I with a percentage of learning completeness of 92%. Based on the data on learning outcomes in cycle I and cycle II, it can be concluded that learning has been considered successful because cycle II has met the learning mastery criteria of 75%. From the results obtained, it can be concluded that the use the Contextual Teaching and Learning (CTL) approach can improve student learning outcomes.
COACHING CLINIC PEMBUATAN KONTEN DIGITAL MATA PELAJARAN BAHASA INGGRIS MENGGUNAKAN MEDIA GATHER TOWN UNTUK GURU SMA DI KOTA BANDAR LAMPUNG

This community service activity aims to: (1) increase the knowledge of English teachers at the high school level about various media and digital sources for teaching English teaching materials, (2) develop the ability to create digital teaching material for English lessons, especially during the pandemic. Covid-19 requires all teaching and learning activities to be carried out online. The activities were carried out in the form of training on digital content creation using the Gather.Town media which was carried out offline and online. The participants of this activity were 29 high school teachers in Bandar Lampung. This activity received a positive response and could improve participants' knowledge in preparing digital content for online learning.
A STUDY ON TASK SCHEDULING ALGORITHM IN CLOUD DATA CENTER

Cloud computing is the delivery of various services via the Internet. Data storage, databases, networking, software etc are examples of these resources. Cloud is growing daily and encounters numerous challenges. Among the challenges one of them is scheduling. There are many types of scheduling, one of them is task scheduling. In cloud computing, task scheduling is a issue that reduces system performance. The task scheduling issue is one of the critical issues in the cloud computing because cloud performance is heavily reliant on it. An effective algorithm is needed to increase system performance. In this paper, we attempt to study the performance of a task scheduling algorithm in a cloud data centre.
A STUDY ON VM SELECTION ALGORITHM IN CLOUD DATACENTRE

The expansion of cloud computing has resulted in the establishment of a large number of data centers all over the world. Cloud computing enables users to use and access resources from data centers on demand rather than owning them. Large energy-hungry data centers is growing at an alarming rate, making energy management as one of many key design constraints for cloud datacenters. The goal is to dynamically consolidate virtual machines to optimize the energy-performance tradeoff online. The VM selection algorithm aims to find the best VM which can be considered for the migration, leads to lower power consumption of the server. In this study, we are trying to study the performance of VM selection algorithm in cloud datacenters.
SPEECH RECOGNITION USING DEEP LEARNING

Speech is the way of communicating with others, by which we can understand each other’s thoughts and there fully. Speech recognition that's associate lay to rest disciplinary field of linguistics aids in developing technologies that empowers the recognition and translation of speech into text. The most crucial information is taken from a text source and adequately summarized by text summarization. In this we talked about the algorithm we used and how its implemented, step by step and Input as well output in the implementation and result section Text account extracts the utmost very important information from a provide that would be a text. In our paper we focus on processing the vocal data received from the microphone as input. Initially we process the voice information and extract only the necessary voice eliminating all the unnecessary or noise data. Finally, we convert the extracted voice data into the text format. We apply the deep learning concepts to make our model work efficiently. The output depends upon the quality of input received from the microphone.
A NEURAL NETWORK METHOD TO PERFORM OPTICAL CHARACTER RECOGNITION OF HANDWRITTEN CHARACTER

The machine learning concept presents a challenge to the designer to fully utilize machine capacity. Machine learning utilizes knowledge of recent data on a specific subject to extract hidden information that is contained in the data. We can achieve machine learning and predict results for unpredicted data by using specific mathematical functions and concepts to uncover hidden information. One of the key uses for ML is pattern recognition. the large picture usually data sets are deployed to recognize patterns. An example of pattern recognition through an image is handwriting recognition. We may teach computers to interpret letters and numbers from any language that is contained in an image by employing such notions. Several techniques exist for identifying handwritten characters. Given its wide range of applications, handwriting recognition has drawn considerable interest in the domains of pattern recognition and machine learning. Both handwritten and optical character recognition (HCR) have distinct fields of use.
GENDER CLASSIFICATION USING MACHINE LEARNING

The identification of gender in human-computer interaction is currently a serious issue (HCI). Gender classification determines a person's gender, such as male or female, using biometric cues. In order to learn a gender recognizer, characteristics from facial images are often retrieved and then exposed to a classifier. Gender classification is used in a wide variety of applications, such as passive monitoring, control in smart buildings (restricting access to specific regions based on gender), supermarkets, gender advertising, and security investigation. In this study, gender is categorised using the face distance measurement as a progenitor. We explored a wide range of machine learning methods, such as logistic regression, k nearest neighbour, SVM, random forest, decision trees, neural networks and got the best SVM accuracy of 97.5.
GENDER DETERMINATION AND FACE RECOGNITION USING SIMPLE METHOD

This system is a focused variation of a more comprehensive object recognition system. Face-related images are displayed as graphs that are tagged with topographical data and local templates. Different graphs are used to illustrate different poses.By comparing the new face with a set of computerized graphs, the "generic face knowledge," an elastic graph matching technique creates new graphs of faces. A composite image of a person's face can be created during the last phase of the matching process, and Additionally, it can identify elements that are comprised of the general face knowledge, such as gender or the existence of spectacles or a beard. A similarity function that compares the graphs makes the system effective at recognizing faces.
MACHINE LEARNING BASED ASSESSMENT SYSTEM FOR SCHOLARSHIPS AND CREDITS

A scholarship is a grant of money to help a student continue their studies. Scholarships are typically offered by governments or government agencies. Students gain courage to pursue additional objectives when their accomplishments are acknowledged. Students are encouraged to take this step when they receive acknowledgement from a group or business. Students can submit applications for scholarships based on the requirements (such as caste category, annual income, etc). Various scholarship programmes are offered to students based on various eligibility requirements. The main Objective is to develop an educational based application that helps institutes to know the appropriate students to reward scholarships. System is an automated one that shortlists most eligible students to reward scholarships. It applies Bayesian Classifier Algorithm to perform selection criteria. Through the proposed system, scholarship can be easily rewarded as this system automatically shortlists the students based on the given constraints using Machine Learning techniques.
Soundboard Scholar no. 6: Editor's Letter

An introduction to the contents of this issue.
Soundboard Scholar no. 5: Cover

The scene of angel musicians on our cover is a detail shot of the topmost portion of the famous “Paradiso” fresco in the Cathedral of Orvieto, Italy. It was painted by Luca Signorelli in 1499, at the very time of Columbus’s third voyage, when (as Richard Pinnell explains in this issue) Spanish guitarras and vihuelas were first being introduced to the New World. The Signorelli fresco’s music-historical interest for us lies in the guitar-like instrument depicted in the hands of the highest angel in the heavenly ensemble—a position of no small honor for her or her instrument. It is approximately the size and shape of the “vihuela” by Juan de Juanes (1523–1579) shown in figure 3 of the Pinnell article. That instrument, in Italian, would have been called a viola da mano. In Spanish it is known as a vihuela de mano.
In Search of the Productive Place(s) of Rhetoric: Outlining a Rhetorical-topical Argument Model for Argument Invention

The author argues that even though the Toulmin model has proven useful and influential in the rhetorical tradition, the model represents a logical approach to argumentation that focuses on argument assessment.This leaves room for an argument model born out of rhetorical thinking designed for argument invention.The author outlines a rhetorical-topical argument model that shows the process of building a persuasive argument: from finding a standpoint, to finding common ground and support.The model exploits the conceptual richness of the place metaphor by showing how each step of the argument-building process involves a new understanding of what a place means.At each step, a certain type of topoi catalogue functions as a heuristic tool that guides the arguer in a systematic search for the available means of persuasion.The heuristic reading of the topics as a tool for argument invention allows the author to integrate different rhetorical conceptualizations of the topics into one model: the stasis doctrine, the special topics, and the common topics.In Search of the Productive Place(s) of Rhetoric 144
PERSEPSI SISWA TERHADAP GAMIFIKASI QUIZIZZ DALAM PEMBELAJARAN PPKN DI SMKN 1 SERANG

This study aims to determine the perceptions of students towards the utilazation of quizizz educational game based learning media in class 12st of the 1 Vocational High School in Serang City. This study used a survey research method with 67 respondent, and was selected randomly through random sampling technique.based on the results of the study, it shows that students consider quizizz educational game-based learning media as media that is easy to use, fun to use, that can increase learning effectiveness, media that can increase motivation and involve activeness in the learning process.as or the weaknesses, that are a problem in using quizizz educational game media according to students, namely relate to internet connections that must be stable so that they require a good network connection.
Benchmarking of Electronic Information Resources of Libraries of Higher Education Institutions of Ukraine

The relevance of the article lies in conducting a comparative analysis of electronic information resources provided during quarantine restrictions and martial law by the libraries of higher education institutions of Ukraine, which were determined by the leaders, based on the results of previous stages of the research.&#x0D; The purpose of the study is to determine the library of the university of Ukraine, which is leader in the provision of electronic information resources in the conditions of quarantine and martial law.&#x0D; The methodology. The research includes synthesis, the method of complexity, comparative analysis, information diagnostics, generalization, abstraction and systematization, survey-analytical and benchmarking methods.&#x0D; The results of the previous stages of the research proved that the library of Sumy State University occupies the first place among the scientific libraries of classical universities of Ukraine. Among the scientific libraries of technical institutions of higher education are the Scientific Library of Zaporizhzhia Polytechnic National University and Chernihiv Polytechnic National University. The leader among scientific libraries conventionally called special institutions of higher education of Ukraine is the library of Borys Hrinchenko Kyiv University. The library of Kryvyi Rih State Pedagogical University ranks first among the libraries of pedagogical institutions of higher education in Ukraine.&#x0D; The practical significance. The identification of a leading library will allow other libraries of higher education institutions to adopt the experience of implementing various electronic information resources.&#x0D; The scientific novelty. The previous stages of the study of electronic information resources of libraries of higher education institutions of Ukraine allowed us to determine the leading libraries in providing users with access to a wide range of electronic information resources during quarantine restrictions and martial law.&#x0D; The conclusions. The research made it possible to identify the library of Sumy State University as a leading library that provides users with access to the largest set of electronic information resources, which includes: electronic catalogue, electronic archive of scientific works of university employees, full-text databases and resources available on open platforms, the own full-text collections, Facebook page, Instagram page, Telegram channel, Youtube channel, new arrivals, digests, audiobooks.