Reviewerly/exHarmony huggingface dataset:
Prototipe Permainan Edukatif 3D puzzle Rumah Gadang Rajo Babandiang

3D puzzle is a category of logic games in the form of unloading pairs, which uses elements into three-dimensional building structures.Quite a lot of 3d puzzles make as a learning media for users, but very few of these 3D puzzle games appear on the market about traditional house buildings, especially those that have a level of intelligence to compose puzzle elements that can convey descriptions of structure, function and meaning.Something of a problem that occurs in modern Minangkabau society today, against the change of form and no longer fit of function, and its true meaning, will result in the architectural image of the Minangkabau traditional house (Rumah Gadang) that appears as if it is adequately represented by one or several elements of the Rumah Gadang, such as the roof of the gonjong only.This concern could indirectly the Minangkabau people begin to bury their architectural identity.Research-based design analysis method using primary data in the form of findings of current phenomena, and secondary as additional data to strengthen primary data such as written study sources and work sources as educational game references.Therefore, Rumah Gadang as a source of creation ideas to design a prototype 3D puzzle aims to provide knowledge and education about the value and meaning contained in the Rumah Gadang as a symbol of the greatness of the Minangkabau people.
Fracture Pattern Analysis of the Upper Cretaceous-Eocene Carbonates along with the Ghumawan Dome, Hazara Basin

Deformational history of the Hazara basin indicates a primitive collision of the two landmasses that undergoes an episodic deformation with NE-SW structural trend. Panjal Thrust (PT) and Main Boundary Thrust (MBT) demarcate the northern and southern extremities of the basin, respectively. The area bounded between these two thrusts is the core consideration of the present research. Different stratigraphic units juxtapose along the Hazara Kashmir Syntaxes (HKS), while the strike-slip component is indicated by imbrication due to thrusts. The study is amied to analyze the paleo-stresses along with developed fracture patterns. Field data were collected via Circle Inventory Method from various localities of the Ghumawan dome, Hazara basin. The zones of upper Cretaceous to Eocene carbonates were mainly targeted during the data collection. Win-Tensor was the key software that helps to analyze the paleo-stresses and fracture pattern of the study area. NW-trending fracture pattern was observed with a highly non-symmetric to dense fracture pattern. The local thrust system lead to severely de-shape the study area. N-S oriented σ1 indicated the compressional tectonic conditionthat prevailed during deformation of this area. Some segments also show extensional features i.e. normal faulting.
The Science We Need in Order to Achieve Progress in the Social Development

The aim of this study is to gather sufficient evidence and arguments in order to prove to society that during the process of change in thinking and especially in the effective practical implementation of such educational models, high levels of efficiency can be achieved at all hierarchical levels in key systems for the society and the state
COMPUTER GRAPHICS ONLINE EDUCATION DURING THE COVID-19 PANDEMIC, OBSERVATIONS AND EXPERIENCES

Appears in: ICERI2021 Proceedings Publication year: 2021Pages: 10082-10086ISBN: 978-84-09-34549-6ISSN: 2340-1095doi: 10.21125/iceri.2021.1530Conference name: 14th annual International Conference of Education, Research and InnovationDates: 8-9 November, 2021Location: Online Conference
APLIKASI MONITORING PELAYANAN DAN FASILITAS PADA PUSKESMAS PAAL X

The service and facility monitoring application at the Paal X Health Center is a collection of complaints or messages from visitors regarding the services and facilities available at the Paal X Health Center. The Paal X Health Center does not yet have a complaint website that can input all complaints from visitors or patients seeking treatment at the Paal X Health Center. In designing the complaint information system at the Paal X Health Center, it contains input, process, and output on the complaint program that is run and modeled with UML (Unified Modeling Language) including Activity diagrams, use case diagrams, and sequence diagrams. The final result of this research is to produce a service and facility application design at the Paal X Health Center, where on this website visitors or patients can input their complaints or complaints about the services and facilities obtained during treatment and can view updated information from the Paal X Health Center. Monitoring application services and facilities at the Puskesmas were built using the PHP programming language with MySQL as the database.
Educación emocional y proyecto de convivencia

This communication presents the experience of an educational center that contemplates emotional education as the central axis of the coexistence project. It shows the line of work developed in the center with students, teachers and other agents of the educational community. This contribution is intended to raise awareness of emotional education as a strategy to promote the development of emotional skills in students and contribute towards a better school life. From the educational administration, the need to develop coexistence plans is demanded as a measure of prevention of violent and aggressive behaviors through the development of a peaceful coexistence in the centers. In this sense, the CEIP Can Parera is shown as an example that takes emotional education as the central axis of the coexistence plan. Emotional education contributes to personal and social well-being by promoting the development of emotional competence as a way to empower children to grow in better conditions to face the challenges of everyday life. It is about learning to live together, that is, learning to live with others and with oneself. This involves educating, from personal and social construction, shared dialogue, respect, empathy, compassion, etc., aspects that are developed within the framework of emotional education. This work presents an experience in which emotional education is a transversal axis in the school; it is part of the pedagogical and curricular line of the center.
Relevansi dan Efektivitas Metode Resitasi Dalam Meningkatkan Prestasi Belajar Siswa

This study aims to determine the relevance and effectiveness of implementing the recitation method in improving student achievement. This research is directed to answer two problems: the relevance and effectiveness of the recitation method in learning Akidah Akhlaq subjects. Classroom Action Research with a quantitative research approach is used in the research method where data collection uses research measuring instruments (instruments). Data analysis is quantitative/statistical, aiming to test and prove the hypotheses that have been made/set. The data analysis technique used in this study was carried out in several stages, namely: a) data reduction, b) data presentation and c) conclusion drawing, data analysis in research using SPSS (Product Moment). The recitation method was applied to the subjects of Aqidah Akhlak grade 5. The conclusions followed the study results with the acquisition of scores and percentages: Cognitive score acquisition in cycle-1: 85.88 in cycle-2: 87.06, which means up: 1.18. the acquisition of affective values ​​in cycle-1: 89.41 in cycle-2:89,26. It means down: 0.15. The group score in the first cycle: 86.47 in the second cycle 89.41. It means up: 0.99. The acquisition of psychomotor scores in cycle-1: 90.69 in cycle-2 90.69. It means fixed. The average score (average) in cycle-1: 88.11 in cycle-2: 89.11 means that the value increases by: 0.99. The research analysis results can be concluded that the recitation method in Akidah Akhlaq subjects is relevant and effective in improving student achievement.
El impacto del COVID-19 en la ciberseguridad y las infraestructuras críticas

In this paper, I discuss the profound impact that the emergence of COVID-19 has had in the field of cybersecurity and critical infrastructures, based on the research and compilation of different news, studies and reports published during the months of March to July of 2020. Specifically, I present the strategic sectors that have been most affected, the key factors that must be taken into account in the immediate development of cybersecurity, in view of the new —and accelerated— context that the pandemic has caused, and I end with a Decalogue of good practices that governments, companies and citizens should assume to protect our information and thus avoid the harmful consequences that a cyberattack would produce on our essential services.
Automate Labeling Of Bugs and Tickets Using Attention-Based Mechanism in Recurrent Neral Networks

Abstract: The aim here is to explore the methods to automate the labelling of the information that is present in bug trackers and client support systems. This is majorly based on the classification of the content depending on some criteria e.g., priority or product area. Labelling of the tickets is important as it helps in effective and efficient handling of the ticket and help is quicker and comprehensive resolution of the tickets. The main goal of the project is to analyze the existing methodologies used for automated labelling and then use a newer approach and compare the results. The existing methodologies are the ones which are based of the neural networks and without neural networks. In this project, a newer approach based on the recurrent neural networks which are based on the hierarchical attention paradigm will be used. Keywords: Automate Labeling, Recurrent Neural Networks, Hierarchical Attention, Multi-class Text Classification, GRU
Reusable Component Retrieval from a Large Repository Using Word2Vec with Continuous Bag of Words

A reusable code component is the one which can be easily used with a little or no adaptation to fit in to the application being developed. The major concern in such process is the maintenance of these reusable components in one place called ‘Repository’, so that those code components can be effectively identified as well as reused. Word embedding allows us to numerically represent our textual information. They have become so pervasive that almost all Natural Language Processing projects make use of them. In this work, we considered to use Word2Vec concept to find vector representation of features of a reusable component. The features of a reusable component in the form of sequence of words are input to Word2Vec network. Our method using Word2Vec with Continuous Bag of Words out performs existing method in the market. The proposed methodology has shown an accuracy of 94.8% in identifying the existing reusable component.
LABOR AS A MAIN FACTOR IN SCHOOL EDUCATION

The article examines the application of different types of work in the process of school education. The research is a product of a review of the monographic literature and of the Bulgarian periodicals in the field of pedagogy, as well as of author’s researches. As a result of the analysis the author comes to the conclusion that in the educational process it is necessary to apply differentiation within reasonable limits on the basis of the theory of multiple intelligence, as each type of student work is effective when it is based on the individual type of intelligence. student. The study examines the work on knowledge perception, knowledge acquisition and application of knowledge, as well as the basic principles of application of these types of work – independence, responsibility, organization and the principle of effective communication in the team organization of the application of acquired knowledge. To achieve high efficiency of the educational process it is necessary to have a good knowledge of the characteristics of each type of work in order to apply the most appropriate motivation to each specific student.
LibGuides: African Studies Guide: Streaming Media

The African Studies Guide will help researchers to orient themselves with University of Virginia Library holdings related to Africa.
Web Design & Development Using PHP

It is an international software development company which was set up in 2012. Since its inception, theorganization has made exceptional progress in developing and delivering a stream of innovative productsservices & solutions at the given field. Working with some of the world’s top business. The company hasgained a reputation as a provider of the most dependable software solutions. They help clients to improvetheir tasks, drive growth, and quickly adapt to changes in business demands. Its offers profound industry-explicit applications and suites, built for speed, and with an inventive client experience structure that isbasic, straightforward, and exquisite. TechBeeo gives flexible deployment options that give clients adecision to maintain their organizations in the cloud, nearby, or both.
LDR to HDR Conversion Based on Histogram Extension

We present a method of generating high dynamic range image. Our input is low dynamic range image. We transform an input image into HSI color space, separating the color and intensity information. Then dynamic range of intensity is extended from [0, 255] to [0, 1023] and a Butterworth filter is applied to the histogram which is set as the target histogram to generate a new image allocation. Cumulative distribution function curve of the histogram extends a fixed distance in each round and generates a new histogram which set as a target histogram. Finally, the image is combined with the color information and an inverse tone mapping operator is used to extend the LDR to HDR range.
The Analysis on Blended Teaching in College EFL Writing Course Based on The Production-Oriented Approach

The production-oriented approach is concerned with learning output and the attainment of learning objectives.The combined style of classroom-teaching and the online education-assisted platform is gaining popularity among instructors and students.It maintains the benefits of traditional teaching methods.Meanwhile, it has the advantages of high efficiency, variety, scientific rigor, and customization, which increases the fascination and diversity of the learning process and accentuates the learning impact.Unlike conventional writing instruction, which concentrates on input rather than output, a blended English writing model based on the production-oriented approach can motivate students to apply what they have learned and sustain long-term production.One teaching unit of blended college English is taken as an example to demonstrate the POA teaching steps which are the interlocking sessions of, acquisition and assessing.
Enhanching Vocabulary Mastery By The Usage Of Elicitation Technique At The Third Semester Of English Language Education STKIP PGRI Nganjuk In The 2020/2021 Academic Year

The purpose of research is to find out comptence of students’ vocabulary mastery before and after taught by using  elicitation technique and to find out the effectiveness of using elicitation technique  before and after in students’ vocabulary mastery  at  the third semester of  English Language Education  STKIP PGRI Nganjuk . The methodology of research is experimental research, one group pre-test post-test design. The research was conducted  at  STKIP PGRI Nganjuk, at the academic year of 2020/2021 by using the samples at  the third semester  of English Language Education class by number of class is 26   students. In completing the research, the technique of data collection used test. Analysis of the data is used t-test. Based on the table above it could be seen that tcount had greater than ttable at level of significant. tcount is 11, 47 an  ttable on the significant level of 5% is 2.04523. Based on the results of analysis that  tcount > ttable  there is  effectiveness to develop the students’ vocabulary mastery before and after being taught using elicitation technique at the third semester of English Language Education STKIP PGRI Nganjuk at the 2020/2021  academic year. The hypothesis is Ha is accepted and Ho is rejected. That is : “  There is effectiveness between teaching vocabulary using Elicitation Technique and teaching vocabulary without using Elicitation Technique to enhance  students’ vocabulary mastery at the third semester of English Language Education STKIP PGRI Nganjuk at the 2020/2021  academic year.
THE PHILOSOPHY OF EDUCATION IN THE STRUCTURE OF SCIENTIFIC KNOWLEDGE

Since its inception, philosophy has been interested in the issues of education and upbringing of a person, the formation of his spiritual values. A striking example of this trend is the work of such ancient thinkers as Socrates, Plato and Aristotle. But as an independent branch of knowledge, the philosophy of education has emerged relatively recently. The article examines the problem field of the philosophy of education, the issues of its genesis and development, and also analyzes the place and role of the philosophy of education in the structure of modern scientific knowledge.
Design and Build an ENT Disease Diagnosis Expert System with Bayesian Probability Method

Sinusitis is one of the most common causes of health problems in the world and the cases are most often found in daily practice. The incidence of sinusitis is a fairly severe disease, namely 1.3 and 3.5 per 100 cases of adults per year to see a doctor. Patients with a disease need accurate information that is easily accessible to find out the disease they are experiencing based on the symptoms they feel. One of the reliable information sourced from experts or people who are experts in their fields and can be easily accessed is the existence of an expert system. In this case, the expert system needed is an ENT (Ear, Nose and Throat) disease diagnosis expert system. The expert system for diagnosing ENT diseases, designed in this study uses the Bayesian Probability method. The research on the design of an expert system for diagnosing ENT diseases that have been carried out can be used as a decision making for ENT patients using the Bayesian Probability method.
Group Recommender System Using Hybrid Method

In our daily activities, we make a lot of decisions either individually or in groups. The recommender systems is a solution for making decisions. One of the most common recommender systems is the recommendation for tourist destinations, where a number of tourist attractions are given as tourist attractions that are recommended to be visited by someone. There are still few recommended tourist attractions that provide recommendations for a group, while there are several tourist attractions that are more suitable if visited by several people at the same time. In this study, a recommender system for tourist attractions in Bandung-Raya Regency is proposed which is given to user groups. The recommended method used is Hybrid Collaborative Filtering and Knowledge-Based Filtering. In the process of selecting groups that are candidates to be recommended to users, Borda calculations are carried out with votes so that users can determine whether they like or dislike and match or not match the recommender generated by the system. The results of the evaluation of experiments conducted by taking surveys of users showed an average value. the average of the indicators of user satisfaction with the results of group recommender is 4.4 on the scale (1-5)
A Comprehensive Study on Metaheuristics, Big Data and Deep Neural Network Strategies

This chapter briefly explains certain topics like metaheuristic approach, big data, deep learning (DL), deep neural network (DNN) and their usage in diversified fields. In this context, the term ‘heuristic’ can be defined as the systematic analytical problem-solving approach that basically implements the shortcut techniques and performs sufficiently good calculations to generate satisfactory presentable solutions. ‘Metaheuristic’ is a method or mechanism created and formulated at a higher level to generate an algorithm that will prepare and deliver an adequate and acceptable solution to an optimisation problem exceptionally with incomplete, unrefined and partial information. Some popular metaheuristic algorithms like genetic algorithm, practical swarm optimisation and some real-time case studies are discussed in this chapter. Furthermore, this chapter discusses DL which is said to be a subset of the large class of machine learning and is executed by the DNN which is derived from the ‘artificial neural network’ (ANN). In this chapter, the various concepts concerning DL, DNN and ANN are discussed.
Right to information

The right to information (RTI) has an implicit association with concepts such as transparency and accountability. Demands for transparency and accountability are normally a response to poor governance by States. In this chapter, we document the relations between the different actors and their different temporal and spatial interactions that shaped the framing, the content of the right and the struggle for India's right to information legislation. We focus on the potential of India's RTI legislation to strengthen transparency and accountability of the state as well as the iterative struggles over the construction of new rights, the process of law making from below, and the ongoing struggles to protect the Indian RTI law.
AN IMPROVED APPROACH FOR SOLVING HIERARCHICALLY COUPLED CONSTRAINED OPTIMIZATION PROBLEM IN SIMULTANEOUS OPTIMIZATION OF NEURAL NETWORK STRUCTURE AND WEIGHTS

Neural Networks (NN) structure is commonly determined before the training of its weights using a trial-and-error-based approach by an expert of the problem under consideration since there are no clear guidelines for selecting an optimal NN structure. The trial-and-error-based method can be very time-consuming and can also overlook possible optimal combinations due to the large amount of NN structure combinations available. To cope with these issues, the definitions developed by Zou et al. are used to identify the NN structure and weight optimization problem as a hierarchically coupled constrained optimization problem, and an improved version of the algorithm is developed and applied to find the optimal NN structure and weight values simultaneously. The proposed approach is then employed to build NN prediction models (referred to as NN-HCCOP) for a variety of case studies to test its validity. The results of the NN-HCCOP model are compared with five other prediction methods i.e., adaptive neuro-fuzzy inference system (ANFIS), ANFIS-firefly algorithm (ANFIS-FA), classical NN, regression analysis, and gaussian process regression analysis. The comparison results show that NN-HCCOP model can provide higher prediction accuracy in the majority of the testing scenarios compared to models built by other techniques.
Water Needs Using Padi-Padi-Palawija Plants in Irrigation Area (DI) Sidopangus Regency, Semarang, Indonesia

The irrigation water discharge at the intake gate must be in line with the area of agricultural land.The dimensions of primary, secondary and tertiary irrigation canals must be in accordance with the area of agricultural land and the cropping pattern applied.The aims of this study are (1) to analyze the need for irrigation water at the intake of the Sidopangus Irrigation Area (DI) Semarang Regency; and (2) analyzing the dimensions of secondary irrigation channels in DI Sidopangus, Semarang Regency.This research was conducted at the Sidopangus DI whose source of water comes from the Sidomble Dam in Semarang Regency.Survey method was used in this research.Analysis of irrigation water needs and channel dimensions was done manually using the referral KP-01.The results of the study that can be stated was that the need for irrigation water in rice fields (NFR) was equal to 0.813 l/s/ha and the smallest maximum irrigation water demand (DR) was equal to 1.251 l/s/ha which occurs in late November to early December.The study also found that the dimensions in the secondary channel ie channel width (b) were 1.42 m; water level at the bed of the channel (h) is 0.71 m; slope of the irrigation channel (m) is 1; and irrigation canal height is 0.50 m.