Reviewerly/exHarmony huggingface dataset:
Perbandingan Arsitektur Convolutional Neural Network Pada Klasifikasi Pneumonia, COVID-19, Lung Opacity, dan Normal Menggunakan Citra Sinar-X Thoraks

Covid-19 telah mewabah sejak awal Tahun 2020. Meskipun terjadi penurunan jumlah kasus penderita Covid-19, namun masih terdapat beberapa kasus baru karena terjadi mutasi virus. Selain Covid-19, prevalensi pneumonia juga masih tinggi. Oleh karena itu, perlu dilakukan klasifikasi Covid-19 dengan pneumonia meskipun pascapandemi. Salah satu cara yang digunakan untuk mendeteksi Covid-19 dan pneumonia adalah menggunakan citra sinar-X dada. Pada studi ini dilakukan tidak hanya Covid-19 dan pneumonia, tetapi juga lung opacity dan normal. Beberapa tahun terakhir, marak digunakan pendekatan klasifikasi berbasis kecerdasan buatan. Beberapa studi telah dilakukan dengan menggunakan pendekatan deep learning berbasis arsitektur CNN. Pada studi ini, klasifikasi keempat kelas di atas dilakukan dengan menggunakan data yang lebih banyak, yaitu 21.165 citra sinar-X dada. Selain itu, dilakukan perbandingan kinerja sembilan arsitektur CNN, yaitu Inception-ResNet, DenseNet201, InceptionV3, ResNet50v1, ResNet101, ResNet152, ResNet50v2, ResNet101v2, dan ResNet152v2. Sebagai tambahan, studi ini juga membandingkan kinerja dua pengoptimasi, yaitu Adam dan SGD untuk masing-masing arsitektur CNN. Kinerja tertinggi diperoleh dengan menggunakan arsitektur CNN berbasis ResNet50v1 dan pengoptimasi Adam dengan nilai rerata akurasi pelatihan, validasi, dan pengujian mencapai 92,22 ± 0,25 %. AbstractCovid-19 has been a global pandemic since the beginning of 2020. Although there has been a decrease in the number of cases of Covid-19, however, there are still some new cases due to virus mutation. Besides Covid-19, the prevalence of pneumonia is still high. Therefore, it is necessary to classify Covid-19 and pneumonia not only during a pandemic but also post-pandemic. One of the methods is using chest X-ray images. In this study, not only Covid-19 and pneumonia but also lung opacity and normal were carried out. In recent years, artificial intelligence-based classification approaches have been widely used. Several studies have been conducted using a deep learning approach based on Convolutional Neural Networks (CNN) architecture. This study aims to classify the four classes using 21,165 chest X-ray images. In addition, a comparison of the performance of nine CNN architectures was perfomed, i.e. Inception-ResNet, DenseNet201, InceptionV3, ResNet50v1, ResNet101, ResNet152, ResNet50v2, ResNet101v2 and ResNet152v2. In addition, this study also compares the performance of two optimizers, i.e. Adam and Stochastic Gradient Descent (SGD) for each CNN architecture. The highest performance was obtained using ResNet50v1 and Adam optimizer with the average value of training, validation, and testing accuracy of 92.22 ± 0.25 %.
Expert System of Facial Skin Type Diagnosis and Skincare Recommendation Based on Certainty Factor

Facial treatment is an important need for everyone because the first sight of meeting someone is to see their face. Generally, facial skin type is just normal skin. However, several factors such as the environment, air, food, facial hygiene, and so on can affect the type of human facial skin. In this experiment, there were 5 types of facial skin, namely normal skin, dry skin, oily skin, combination skin, and sensitive skin. With the existence of various skin types, it makes some people confused in determining the type of facial skin. This also affects the selection of skincare or facial care according to the indications of each facial skin. Therefore an expert system was created to diagnose facial skin types. An expert system is a man-made system that is used to solve problems like an expert with knowledge from human to computer, although it does not give 100% absolute results, but expert systems are still helpful.
Naive Bayes Performance in Analysis of Public Opinion Sentiment Against COVID-19

The huge impact caused by the COVID-19 pandemic has made many people express their opinions on Twitter social media. There are various responses given by the community that are negative and positive. The dataset comes from kaggle with more than 750 tweets of data. Classification designed by the Naive Bayes method. Implementation through preprocessing, case folding, tokenizing, stopword removal, TF-IDF, and cross validation has been able to produce quite high accuracy. After classification, validation will be carried out with Cross Fold Validation. The best value is on cv5 where accuracy = 0.847, precision = 0.855, recall = 0.83, and f1 score = 0.842.
The value of H.S. Skovoroda’s philosophical fables in the practice of fairy tale therapy

The article clarifies that H. Skovoroda’s fables are broad on the issue, they raise the following issues: the boundaries of white and black, light and dark, good and evil, “related” work as a basic principle of work ethic, religiosity, the choice between good and evil, life and death, and so on. According to H. Skovoroda, the fable should help in the search for and discovery of eternal truth, his fables were aimed at exposing social ills, raised the spirit of civic dignity, the cult of reason, punished the world of abuse, deception, careerism, noble arbitrariness, veneration, profit, boasting, stupidity. H. Skovoroda’s fables are philosophical miniatures, reflections on related work, happiness and gratitude, which should fill every moment of a wise person’s life. But above all, these are good and funny stories about animals who are cunning, lazy, afraid and tear their noses like real people. The heroes of fairy tales show how important it is to see not only the external but also the internal essence of things, to take up the cause to which you have the ability, not to deceive others and value time and so on.&#x0D; As H. Skovoroda’s philosophical fables raise many life issues and problems that occur in the life of an adult, they are useful interesting and useful material in the practice of fairy tale therapy for adults.On the example of some fables “The Bee and the Hornet”, “The Dog and the Wolf” from the series “Fables of Kharkov” it is proved that it is appropriate to use such forms, methods and technologies of working with H. Skovoroda’s fables: discussion and analysis of fables, its leading ideas, retelling the work on behalf of its various characters, watching videos, drawing illustrations, as well as creating your own fables with a similar plot.
Application of Soft-Clustering Analysis Using Expectation Maximization Algorithms on Gaussian Mixture Model

Research on soft-clustering has not been explored much compared to hard-clustering. Soft-clustering algorithms are important in solving complex clustering problems. One of the soft-clustering methods is the Gaussian Mixture Model (GMM). GMM is a clustering method to classify data points into different clusters based on the Gaussian distribution. This study aims to determine the number of clusters formed by using the GMM method. The data used in this study is synthetic data on water quality indicators obtained from the Kaggle website. The stages of the GMM method are: imputing the Not Available (NA) value (if there is an NA value), checking the data distribution, conducting a normality test, and standardizing the data. The next step is to estimate the parameters with the Expectation Maximization (EM) algorithm. The best number of clusters is based on the biggest value of the Bayesian Information Creation (BIC). The results showed that the best number of clusters from synthetic data on water quality indicators was 3 clusters. Cluster 1 consisted of 1110 observations with low-quality category, cluster 2 consisted of 499 observations with medium quality category, and cluster 3 consisted of 1667 observations with high-quality category or acceptable. The results of this study recommend that the GMM method can be grouped correctly when the variables used are generally normally distributed. This method can be applied to real data, both in which the variables are normally distributed or which have a mixture of Gaussian and non-Gaussian.
E-Library Berbasis Mobile Bagi GPMB Kabupaten Malang Dalam Mendukung Gerakan Literasi di Era Pandemi COVID-19

It is undeniable that during the Covid-19 pandemic all community activities are limited to direct interactions. One of the limits of activity is in the area of library services, where there are two services that libraries have to offer: physical lending and electronic lending. There are several barriers that libraries encounter in relation to e-book lending services. For example, low technical proficiency, limited equipment and infrastructure, internet network, and cost. Therefore, in order to solve these problems, we applied the method of user-centered design to system development, built a user-friendly and user-friendly mobile-based electronic library, and built visitor-library relationship management. The development of this library service system application uses a linear sequential method (waterfall). The waterfall methodology is a systematic, sequential software development method that starts at the system level and progresses through analysis, design, code, testing, and maintenance. Below are the stages of the waterfall model. E-library results have several features for restricting access rights, such as: B. Limitation on number of books and loan period. The resulting application has the main function of being able to protect your digital works in use. That is, restricting borrowed digital works to specific devices.
Digitalisasi Perpustakaan Institut Agama Islam Negeri Madura Sebagai Upaya Pemenuhan Layanan Pemustaka Sejak Pandemi COVID-19

This paper describes efforts to digitize various library services at IAIN Madura in fulfilling user services during a pandemic. The surge in Covid-19 resulted in less-than-optimal library services, even to the point of temporarily closing face-to-face services. This, of course, requires the library to make a variation so that the service remains optimal during a pandemic. One of them is maximizing digital services which are very urgent to be carried out quickly and precisely, so that users can still get library services. This issue was raised, namely how the Madura IAIN library is able to provide digital services to fulfill user services since the Covid-19 pandemic. This research was conducted using qualitative methods with data collection techniques by observation and interviews. The data analysis was carried out descriptively and interpretively based on the latest digital services as well as digital services that are experiencing the process of developing digital library applications at IAIN Madura. The results of this research are the latest digital-based library services and the development of digital applications to serve users since the Covid-19 pandemic. The newest digital library service at IAIN Madura is a digital self-lending service. Meanwhile, digital services that are undergoing application development include e-book, repository, and e-theses services. As for efforts to fulfill user services through library digitization, namely consolidating information technology (IT) teams, developing application programs, and adding library application programs to the IAIN Madura. All of these digital services are very important to be accessible and enjoyed by users during the pandemic and after the Covid-19 pandemic. This is because users still get maximum service with these digital services.
Prospection of Potential Iron Deposit in Gandaki and Lumbini Province of Nepal Using Remote Sensing Technology

Integrated remote sensing and Geographic Information System provides an aid to find presence of metallic and non-metallic minerals. This approach was used to explore Iron deposits in districts of Gandaki and Lumbini province of Nepal in which 8 districts were identified as the reserves of iron ores namely Nawalpur, Palpa, Baglung, Parbat, Syangja, Tanahu, Arghakhanchi and Gulmi. These districts fall under various geological formation such as Suntar formation, Melpani formation. These formations are found to be rich in metallic minerals. Remote Sensing (RS) and Geographic Information Systems (GIS) offers a cost effective and attractive strategy in mineral prospection, notably for a mineral exploration project. Landsat 8 satellite images, processed through band rationing method highlights the hydrothermal alterations and Iron Oxide containing region. False Color Composite and Principal Component Analysis method highlights sedimentary rocks. Each method exaggerates spectral signatures which highlights the surfaces by different colors indicating presence of iron ores. Lineaments are also extracted from Landsat images combining with Digital Elevation Model (DEM).Lineaments are those structures that provide information about fault and fractures on the surface and helps to identify mineral deposition zones. The result produced through different RS techniques were introduced in GIS environment. Potential iron content region were identified by using Suitability analysis i.e. multi criteria decision analysis (MCDA). Map showing the potential iron ore deposit map was generated by integrating the results together reclassified into a common scale and overlaid with suitable weightage. Final output/map indicates the best possible sites for detailed study of iron ores. The study demonstrates the usefulness and effectiveness of remote sensing and GIS in iron and other mineral mapping.
Application of Photo-Realism in Making Gamelan Kenong 3D Objects in Gamelan VR

In creating a simulated world, it is very necessary that the environment, objects, and experiences be similar to the original conditions in the real world. Simulation can be carried out using virtual reality technology, in which environments and objects can be created as desired. The creation of these three-dimensional objects can be achieved by taking into account the 10 principles of photorealism to get realistic objects like those in the real world. In this research, objects from the Kenong gamelan will be created using the principles or characteristics of photorealism. In this study, an assessment of three-dimensional objects was made by distributing questionnaires in which the selected respondents gave a value of 1–5 for each photorealism characteristic of each object. From the results of the assessment carried out, it was found that the 3D objects that were previously made received a value above the average, which means that they meet the characteristics of photorealism. Data was also obtained indicating that realistic 3D objects are required in a simulation in order for the simulation to be felt more strongly or for the user to feel the feeling as closely as possible when playing gamelan. From the results that have been obtained, it is recommended to follow the principle of photorealism when creating 3D objects for simulation needs.
Pustaka, Ruang Publik Dan Tindakan Komunikatif: Kajian Terhadap Perpustakaan Cahaya Ilmu Sma Negeri 1 Bengkulu Tengah

The theory proposed by Jurgen Habermas is that public spaces and communicative actions can be applied to the world of libraries, the Cahaya Ilmu library of SMAN 1 Bengkulu Tengah is one of the district-level school libraries that has adequate facilities as a public space. The purpose of this study was to see the relationship between communicative actions and public spaces reviewed at the Cahaya Ilmu library of SMAN 1 Bengkulu Tengah. This type of research uses a type of field research. As a result, the library can be said to be a public space whose activities require communicative actions that take place on the rules of the library rules that demand responsibility from several parties in accordance with mutually agreed agreements. library which is a public space open to anyone, where the Cahaya Ilmu library can be accessed by anyone either directly to the library or online, Cahaya Ilmu library activities are publicly funded through BOS funds and voluntary donations from the local community, access to information served to the public is satisfactory with various services and can be accessed as widely as possible and the Cahaya Ilmu library collaborates to expand the network libraries both internally and externally.
CRYPTOCURRENCY PRICE VOLATILITY ANALYSIS ON BITCOIN AND ALTCOINS BEFORE AND DURING THE COVID-19 PANDEMIC IN INDONESIA

The emergence of COVID-19 in December 2019 in China, until it spread to Indonesia in early March 2020 was designated as the center of the transmission of COVID-19. It negatively impacted the financial sector and caused cryptocurrency volatility to increase significantly. Therefore, the purpose of this study is essential to determine the volatility of cryptocurrencies and the method of estimating the price of cryptocurrencies. This shows that cryptocurrency fluctuations are unstable and irregular compared to equities, so the cryptocurrency market is more risky and difficult to predict during the COVID-19 pandemic. In this study, the analytical tools were quantitative and descriptive using the ARIMA and GARCH time series models for time series forecasting. The secondary data were used to determine the existence of volatility. Thus, ARCH Effect is the best model to estimate the volatility price of a cryptocurrency. As a result of forecasting, both bitcoin and altcoins tend to the uptrend.
Developing a mobile educational application prototype

Problem. Over the past few decades, the use of information and computer technology has expanded exponentially. In many fields of activity during this period, various software tools were integrated, and some of the fields were almost completely automated. For educational software development, it is crucial to correctly and accurately identify needs, draw up requirements, and consider the necessary simplicity, creating a concise and understandable program structure. Goal. The purpose of this work is to identify the needs of application users, formulate requirements for the application, create a program model, draw up its structure, determine the means that will be used for its implementation and compose a description of the main set of methods necessary for the function-analysis of a developing application. Methodology. Analytical research methods, requirements elicitation, application structuring using UML diagrams, and teaching software development methods. Results. An analysis of the needs of users of the learning application for young children was carried out, the requirements were collected and traced, and the program's application control structure and the static structure of the program were drawn up. The means for the implementation of the program were selected and described, and the implementation of the program was described. Originality. Requirements, structure, and approach to creating an application are based on the analysis of children's knowledge levels and needs. Practical value. Such software can be adapted for different knowledge levels and various topics unrelated to children's education.
An Outlook on the Status of Security Performance in The Light of Intelligence

Abstract: An outlook on the status of security performance in light of intelligence focuses on the business aspects and needs of organizations. The security plan needs to be integrated with the business and should be developed in collaboration with different groups within an organization. Organizations need to have a culture that embraces security and intelligence. Security performance is one of the top concerns of modern businesses. Companies must look at the underlying causes of their problems in order to fix them. A good cybersecurity posture is often measured by a lack of data breaches. Lack of specific metrics, however, may be an indication that a company does not have a strategic mindset. Attacks and malfunctions are extremely costly. Detection involves identifying suspicious behaviors and alerting the appropriate personnel. An important challenge in detecting suspicious activity is finding the right balance between false alarms and coverage. An effective security program must be able to mitigate attacks while reducing false alarms. The growing reliance on artificial intelligence (AI) is creating a new kind of cybervulnerability. Developers often overlook AI security, leaving it open to attack by adversaries. Attacks can take the form of basic manipulations and probes or adversarial AI. As the number of computer systems increases, so do the risks they pose to the security of data and systems. This article examines the importance of security performance, the role of the cloud, machine learning-based security models, and incident response. We also look at the importance of a security model that incorporates intelligence. Finally, this report also identifies five critical areas in which Intelligence attacks pose a high risk to organizations.
Environmentality as a principle of education in the pedagogical experience of S.I. Miropolsky

The issue of the formation of a personality in childhood has always been relevant and caused a number of studies on the scientific research of scientists, observations and practical findings of teachers and educators both at home and in educational institutions. The importance of the child's abilities, inherent to him/her by nature, in the educational process is undeniable, and their development has a unique practical experience that needs to be studied and generalized in order to successfully adapt the child to society after completing the training.&#x0D; One of the brightest figures in the history of pedagogy on the study of an individual approach to a child is Serhii Iryneyovych Myropolskyi (1842-1907), who held the point of view that the upbringing process is not leading in the formation of the child's personality, and the main drivers of development are natural abilities that need to be studied and explored in each child, and then, focusing on personal qualities and abilities, build an individual approach for the individual personal educational trajectory of each student.&#x0D; The article notes the formation of the pedagogical views of S.I. Myropolskyi in the conditions of the late 19th – early 20th centuries and on the basis of the philosophical and pedagogical teachings of Hryhoriy Savych Skovoroda about nature conformity as the leading principle of educating a child's personality. The requirements of S.I. Myropolskyi to the educational process on the basis of taking into account his practical experience in educational institutions. The teacher's knowledge of the child's personality, his personal qualities and abilities, as well as the types of temperament are clarified and generalized. The attitude of the scientist to the teacher as a flagship for ensuring the personal physical, psychological, moral and intellectual development of each child is revealed. In addition, the article reflects that the observance of the principle of conformity to nature, the ability to take into account the age and individual abilities of students is a requirement for the teacher. At the same time, the teacher must have a number of competencies, observe the impartial rules of tolerant behavior in order to develop the natural abilities of everyone.