Reviewerly/exHarmony huggingface dataset:
Pengenalan Teknologi Augmented Reality sebagai Media Pembelajaran Anak Usia Dini di RA Babul Ulum Desa Pulau Panggung Kecamatan Abung Tinggi Kabupaten Lampung Utara

In this millennial era, there are many school institutions that use modern technology in carrying out learning, to support and make learning more interesting. One example of modern technology that can be used is Augmented Reality technology. Unfortunately the use of Augmented Reality technology is not as easy as imagined, because there are obstacles such as the lack of teacher education about various learning media that support the learning process and also especially on the location factor of RA Babul Ulum which is in rural areas so that it has not been touched by learning media that smells technology. To support learning using the AR system at RA Babul Ulum, Pulau Panggung village, North Lampung, a community grant team from the State University of Malang funded by PNBP carried out a community service program in the form of counseling and providing teaching aids in the form of an LCD projector and also several Augmented Reality (AR) cards.). With the methods of observation, lectures, demonstrations, discussions and practice with direct trials resulted in: teachers RA Babul Ulum understand and master the application of Augmented Reality technology; RA Babul Ulum received new teaching materials in the form of Augmented Reality cards; The use of this learning media causes students to understand better and not get bored easily when the learning process takes place.
New Student Online Registration Site Usage Training

The online student registration information system is seen as very important in this era of digitalization. What's more, there is the convenience and efficiency that is obtained when registering online. The problem of time, distance and place is no longer an obstacle in registering on time. Therefore, this service aims to provide an understanding of the online admissions information system at SMA Negeri 1 Sejangkung. This community service workshop was attended by 20 people consisting of teachers and students from SMA Negeri 1 Sejangkung. This training workshop was carried out using a system demonstration method, lectures, discussions with participants and questions and answers. This training workshop provides information to teachers and students at SMA Negeri 1 Sejangkung about the importance of an online registration system to facilitate the student registration process, which no longer has to be face-to-face or come directly to school.
Analisa Artefak Pada Hasil Radiograf Yang Timbul Akibat Pengolahan Computed Radiography

Artefacts are structures or appearances that are not normally present on radiographs, errors in radiographic processing may be due to technical errors or film processing errors. This research was conducted using Descriptive methods, with the type of literature study that aims to examine the causes of artifacts that can occur as a result of improper handling of film processing errors.The results of the analysis concluded that the frequent occurrence of artifacts in the processing of Computed Radiography is caused by two factors, that is the use of imaging plates and grids lisolm. His advice should be in the processing using Computed Radigraphy the officer must be more careful and pay attention to the components in Computed Radiography.
Face Identification Using HAAR Wavelet Transform

Face identification is the process of matching one or more people by analyzing and comparing the patterns of their faces. Algorithms for face identification typically extract facial features and compare them to a database to find the best match. The Haar wavelet transform has been mainly used for image processing and pattern identification due to its low computing requirements and quality to conserve and to compact the energy of a signal. In discrete wavelet transform, an image signal can be analyzed by passing it through an analysis filter bank followed by a decimation operation. Face identification has been performed in terms of correlation coefficient, Euclidean distance and sum of absolute difference.
An analysis of stochastic variance reduced gradient for linear inverse problems <sup>*</sup>

Abstract Stochastic variance reduced gradient (SVRG) is a popular variance reduction technique for accelerating stochastic gradient descent (SGD). We provide a first analysis of the method for solving a class of linear inverse problems in the lens of the classical regularization theory. We prove that for a suitable constant step size schedule, the method can achieve an optimal convergence rate in terms of the noise level (under suitable regularity condition) and the variance of the SVRG iterate error is smaller than that by SGD. These theoretical findings are corroborated by a set of numerical experiments.
Activities and projects of the Bibliographical Data Working Group (DARIAH-EU)

The material aims to introduce the Bibliographical Data Working Group – part of the Digital Research Infrastructure for the Arts and Humanities (DARIAH-EU) – and to feature projects fulfilled by this group. This working group since 2019 brings together specialists (as of today: 38 researchers) from a number of different countries and the main goals of the group are to foster the development of cooperation between bibliographies and serve as a platform for knowledge exchange aimed at bringing together creators of bibliographical data, scholars interested in using those resources in data-driven research, and theorists of bibliography and documentation. In the presentation two projects are described in detail: 1. the report “An analysis of the current bibliographic data landscape in the humanities: Bibliodata curation, research, and collaboration; 2. The project “Multilingual encyclopaedic dictionary of types of documents”. The purpose of the article is not only to describe these projects but above all to invite Congress members to collaborate on them.
Implementasi Twitter Bootstrap dalam Pengembangan Aplikasi Web E-Commerce (Studi Kasus Toko Putra Reban Kendal)

&lt;p&gt;&lt;em&gt;This study aims to apply twitter bootstrap in an e-commerce web so that the web display becomes more responsive, that is, it can provide a display according to the device used to access the web. The object of this research is the Putra Reban Store in Kendal which markets local art equipment and supplies, especially masks&lt;/em&gt;.&lt;/p&gt;&lt;p&gt;&lt;em&gt;The system development method used in this research is the Scrum method with stages including product backlog, sprint backlog, sprint and working increment. This method was chosen because it can save system development time and can transform a business that is difficult to measure into one that is easy to develop. The system is designed with 2 actors, namely admin and customer. Admin has access rights to manage product data, customer data, and order data, while customers have the right to access product data and make order transactions.&lt;/em&gt;&lt;/p&gt;&lt;em&gt;With this developed system, it is easier for Putra Reban Stores to market their products because product descriptions and product availability stocks can be informed more easily and accurately. With complete and accurate product information, it will also be easier for customers to make transactions.&lt;/em&gt;
Prediction of Breast Cancer Risk Factors Using Neural Network Analytics: an Empirical Study

Breast cancer is the most prevalent cancer affecting women. Identifying breast cancer risk factors are crucially to be established. The main objectives of the present study were to identify the predictors of breast cancer risk factors and their relative importance using neural network analysis. The present study depended on neural network analysis of data posted on [1]. The dataset is about predictors of breast cancer. There were 9 covariates included and one dependent variable, output (no disease (1), or disease (2)). The dataset was composed of 116 cases. The category of no disease comprised 79 (68.1%) cases, whereas the disease category included 37 cases (31.9%). Architecture model was built with some characteristics such as training part: gross entropy error was 23.7884, the percent of incorrect predictions was 10.1%. Stopping rule used was 1 consecutive step(s) with no decrease in error. For testing part, gross entropy error was 14,327, the percent of incorrect predictions was 13.5%. The relative importance of breast cancer was in the following order: glucose, resistin, BMI, age, leptin, adiponectin, MCP-1, insulin, and HOMA. Taken together, neural network analysis is an efficient tool to predict breast cancer risk factors.
AN ANALYSIS OF STUDENT’S PROBLEMS IN SPEAKING AT ELEVENTH GRADE OF SMA NEGERI 1 SUKODADI

Student usually faced several problems when speaking, such as lack of vocabulary and grammar. This research is focus on speaking skill as important skill of four basic language learning. Using qualitative descriptive method, researcher analysis students' problems in speaking of eleventh grade students in SMA Negeri 1 Sukodadi, Lamongan. The students’ usually faced problems when speaking, such as lack of vocabulary and grammar. This research is guided by research problems as follows: (1) what are student’s problems in speaking English at eleventh grade in SMA Negeri 1 Sukodadi. (2) What are the causes of students’ problems in speaking English at eleventh grade in SMA Negeri 1 Sukodadi. Researcher used qualitative methods. In answering research problems, researcher used observations and interviews. The researcher uses three main phases of data analysis namely data reduction, data display, and drawing conclusions. Based on the data analysis, the result of research found the students problems, included the cause of problems in English speaking. In speaking English every students has their typical problems, but in general those can be stated as follows: lack of vocabularies, grammar, pronoun, comprehension and fluency. The researcher also found that the causes of students’ problems are, lack of confidence, fear of mistakes, shyness, anxiety and low of motivation. Keywords: Student’s problem, speaking
Perbandingan Metode Klasifikasi Data Mining Untuk Rekomendasi Tanaman Pangan

Determination of the right food crops needs to be done to improve the community's economy in the agricultural sector. The use of traditional cropping patterns needs to be changed by utilizing information technology. The utilization of data from local governments can be used to assist in providing recommendations for types of food crops by processing them with several data mining methods. This method can extract information to find patterns and knowledge from the data. The classification method approach is used as a grouping of data based on data attachment to sample data. This study uses several classification methods, namely Naïve Bayes, Decision Tree, Support Vector Machine (SVM), Neural Network, Random Tree, Random Forest, dan K Nearest Neighbor (KNN). These methods were successfully compared to find out which method is the best to help recommend appropriate and accurate food crops based on the results of the classification performance of each method. Random Tree was chosen as the best method for the results of this performance comparison using discretization and normalization methods at the pre-processing stage of the data. It can be seen based on the results of the Accuracy, Precision, Recall, and F1-Score values on the use of discretization of 98%, respectively. Meanwhile, normalization showed that the results of the Accuracy, Precision, Recall, and F1-Score values are 99%, respectively.
Improving Puskesmas Staff Competency Through Office Application Workshop At Puskesmas Selindung

Puskesmas is a health service facility that organizes public health efforts and first-level individual health efforts, service agencies that provide services to the community, really need the speed of information services so that they can provide optimal services to the community. To provide optimal and maximum service to the community, the puskesmas needs to increase the competence of the staff at the puskesmas by conducting office application workshops for their staff. For the puskesmas staff in Selindung, there are already some who know how to use office applications such as word, excel and powerpoint. But in detail in the use and utilization of office applications in more detail, they still do not understand and are not optimal. This is what makes the author and the team collaborate with the Puskesmas Selindung to carry out a work shop for office applications for puskesmas staff. The purpose of this workshop is to increase the competence of Pusekesma staff in the use and use of computers, especially in office applications, including Microsoft Word, Microsoft Excel and Microsoft PowerPoint. Because these three applications are often used for data and information needs managed by the Selindung health center. The method used in this activity is a workshop and training model. That is by conducting lectures or giving material, and directly practised
Sistem Deteksi Infeksi COVID-19 Pada Hasil X-Ray Rontgen menggunakan Algoritma Convolutional Neural Network (CNN)

The development of the world's technology is growing rapidly, especially in the field of health in the form of detection tools of various objects, including disease objects. The technology in point is part of artificial intelligence that is able to recognize a set of imagery and classify automatically with deep learning techniques. One of the deep learning networks widely used is convolutional neural network with computer vision technology. One of the problems with computer vision that is still developing is object detection as a useful technology to recognize objects in the image as if humans knew the object of the image. In this case, a computer machine is trained in learning using artificial neural networks. One of the sub types of artificial neural networks that are able to handle computer vision problems is by using deep learning techniques with convolutional neural network algorithms. The purpose of this research is to find out how to design the system, the network architecture used for COVID-19 infection detection. The system cannot perform detection of other objects. The results of COVID-19 infection detection with convolutional neural network algorithm show unlimited accuracy value that ranges from 60-99%.
Inovasi Perpustakaan dalam Mendukung Program E-Learning di masa Pandemi Covid-19

&lt;p&gt;Background: The Covid-19 pandemic has had various impacts on society. The impact on the world of education is one of them. The community is required to follow changes in learning patterns from face-to-face to long-distance which is often called e-learning. For this reason, various parties are needed to support this learning process, one of which is a library with the aim of supporting the learning process of the community in the midst of pandemic. Methodology: This research uses descriptive research method. For data collection and analysis methods using literature studies from various references. Results and Discussion: Raising awareness of the importance of education during a pandemic to the public, distance learning is a need that must be met with synergy of education providers, communities, governments and libraries. Innovation in circulation services, database services and e-resources, managing online library events, compiling credible information sources and coordinating among librarians are expected to support e-learning programs in Indonesia. Conclusion: This study shows that e-learning is very much needed by society in current and future conditions. The education system can be implemented practically, efficiently and facilitates community learning. Library innovation to support e-learning is also very much needed to support the community learning process in the midst of a pandemic.&lt;/p&gt;
The Ability in Converting Verbal Information into Non-Verbal Information in Grade XI Students of SMKN 4 Padang Sidimpuan

Abstract Verbal and non-verbal communication plays a vital role in delivering messages. Therefore, this study examines the level of students’ ability to convert oral information into non-oral information. The type of this study was quantitative research using a descriptive method. The population was all students in SMKN 4 Padangsidimpuan, while the samples were grade XI students of SMKN 4 Padang Sidimpuan, totaling 75 students. The applied data analysis techniques were tests and documentation. The results of student learning outcomes showed a mean value of 89.67, indicating that students could convert verbal information into non-verbal information, as evidenced by the percentage of students’ abilities in the “capable” category greater than that of students in the “incapable” class. The percentage of students in the capable category was 77.14%, while students in the incapable class were 30%.
Secured Identity System

A proof of concept of a novel secured electronic identity system where every valid citizen of a country will have a key pair with which they can prove their identity. This system will also not allow fake identities to be created easily.
Video Data Authentication Model Using Blockchain Technology

Video authentication is becoming increasingly important as video obtain and editing has become easier with the help of modern technologies.Also, tamper localization is getting more and more difficult due to the great development of editing software.Signature-based video authentication technologies rely on storing the video signature until authentication is required.This is a drawback because the signature is controlled by a single entity that can fail.Therefore, the centralized approach is not at all trustworthy.This paper proposes the use of Blockchain technology to store video signatures to solve such problems.In this framework, the video signature is stored in a decentralized network.It eliminates the need for a trusted third party and allowing for the control of private data.This system provides the ability to protect large data from manipulation and alteration attacks on the content.Where the size of the vector that is embedded on the blockchain is very small in comparison to the size of the video extracted from it.The change in the vector values indicates the change caused by manipulation within the single frame, so it can be determined which frames were attacked.
Towards Fair and Transparent Algorithmic Systems

My research in the past few years has focused on fostering trust in algorithmic systems. I often analyze scenarios where a variety of desirable trust-oriented goals must be simultaneously satisfied; for example, ensuring that an allocation mechanism is both fair and efficient, or that a model explanation framework is both effective and differentially private. This interdisciplinary approach requires tools from a variety of computer science disciplines, such as game theory, economics, ML and differential privacy.
A Comparative Study on the Privacy Risks of Face Recognition Libraries

The rapid development of machine learning and the decreasing costs of computational resources has led to a widespread usage of face recognition. While this technology offers numerous benefits, it also poses new risks. We consider risks related to the processing of face embeddings, which are floating point vectors representing the human face in an identifying way. Previously, we showed that even simple machine learning models are capable of inferring demographic attributes from embeddings, leading to the possibility of re-identification attacks. This paper examines three popular Python libraries for face recognition, comparing their face detection performance and inspecting how much risk each library's embeddings pose regarding the aforementioned data leakage. Our experiments were conducted on a balanced face image dataset of different sexes and races, allowing us to discover biases in our results.
Kibernetički model komunikacije u nastavi - osvrt na povratnu informaciju

The focus of this paper is the cybernetic model of communication, ie feedback and its importance in the teaching process. It has been noticed that teaching in the classroom is performed mostly one-way, i.e., from teacher to student. Such communication does not contribute to a valid exchange of information, and the paradigm of communication in the classroom is slowly moving towards two-way communication with a focus on feedback. The cybernetic model of communication gives us the possibility of correction during communication, because the feedback provides insight into how the message was received, and accordingly we can further conceptualize and organize more successful communication.
3D Digitalization of historical cipher machines using computed tomography

Being already an established method for nondestructive examination of cultural heritage objects from a conservational perspective, computed tomography is getting more and more popular for answering historical questions.As part of the three-year project 3D-Cipher, the technology will be applied to scan and digitize 61 historical cipher machines ranging from the late 19 th century to the 1990s.The German Federal Ministry of Education and Research funds the project in the eHeritage program 1 , which has the goal of supporting the digitalization of cultural heritage objects and making them accessible for researchers.The aim of this contribution is to introduce the museum's collection as well as the project's idea and relevance to cryptologic researchers.Since 3D scans are able to provide non-destructive insights into our rare exhibits, we can thus hopefully contribute by making our devices available to scientists.
Benchmarking as an effective tool in managing the quality of the educational process at a technical university

The article deals with the problems and prospects of using benchmarking as a tool for solving quality problems of a technical university educational process. This research is carried out during the implementation of the project «Capacity building for the internationalization of a technical university by means of digital learning technologies» approved by the priority «Scientific foundations» Mangilik el «(education of the XXI century, fundamental and applied research in the humanities)» and funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant No. АР08052214). Within the framework of the Project, benchmarking was selected as the main tool for the effective implementation of internationalization at Karaganda Technical University. The author discloses the main content of the «benchmarking» concept, presents the goal, scientific methods and potential of the project, considers the main types, principles and phases of benchmarking. Tyumen Industrial University was chosen as a competing institution, due to the similarity of the higher education systems in post-Soviet countries. When comparing and analyzing the possibilities of benchmarking, the following key aspects were considered: the content of educational courses, the way of students’ and teachers’ thinking, the use of available resources and quality control of training offered.