Reviewerly/exHarmony huggingface dataset:
SecDocker: Hardening the Continuous Integration Workflow

Abstract Current Continuous Integration (CI) processes face significant intrinsic cybersecurity challenges. The idea is not only to solve and test formal or regulatory security requirements of source code but also to adhere to the same principles to the CI pipeline itself. This paper presents an overview of current security issues in CI workflow. It designs, develops, and deploys a new tool for the secure deployment of a container-based CI pipeline flow without slowing down release cycles. The tool, called SecDocker for its Docker-based approach, is publicly available in GitHub. It implements a transparent application firewall based on a configuration mechanism avoiding issues in the CI workflow associated with intended or unintended container configurations. Integrated with other DevOps Engineers tools, it provides feedback from only those scenarios that match specific patterns, addressing future container security issues.
Augmentation of Contextualized Concatenated Word Representation and Dilated Convolution Neural Network for Sentiment Analysis

Deep learning-based methodologies are significant to perform sentiment analysis on social media data. The valuable insights of social media data through sentiment analysis can be employed to develop intelligent applications. Among many networks, convolution neural networks (CNNs) are widely used in many conventional text classification tasks and perform a significant role. However, to capture long-term contextual information and address the detail loss problem, CNNs require stacking multiple convolutional layers. Also, the stacking of convolutional layers has issues requiring massive computations and the tuning of additional parameters. To solve these problems, in this paper, a contextualized concatenated word representation (CCWRs) is initialized from social media data based on text which is essential to misspelled and out of vocabulary words (OOV). In CCWRs, different word representation models, for example, Word2Vec, its optimized version FastText and Global Vectors, and GloVe, collectively create contextualized representations upon the sequence of input. Second, a three-layered dilated convolutional neural network (3D-CNN) is proposed that places dilated convolution kernels instead of conventional CNN kernels. Incorporating the extension in the receptive field’s size successfully solves the detail loss problem and achieves long-term context information with different dilation rates. Experiments on datasets demonstrate that the proposed framework achieves reliable results with the selection of numerous hyperparameter tuning and configurations for improved optimization leads to reduced computational resources and reliable accuracy.
RANCANG BANGUN PROTOTYPE DISPLAY ANTRIAN PELANGGAN DENGAN PENGGUNAAN TEKS DAN SUARA BERBASIS JARINGAN INTRANET

The development of information technology in various fields, one of which is in the field of queuing systems. That we know about the queuing system which is so tedious because of the long process of queuing. Therefore, the number of customer queues at several banks so that customers cannot relax to carry out transactions at the bank is a problem that is often encountered, as well as what happened at PT. BPR SARIBUMI Bank Godong Branch, which still uses a manual system. To overcome this problem, a queue display is used that uses text and voice displays and prints the queue serial number so that customers no longer need to queue conventionally.&#x0D; With this queuing system, the queue counter clerk, cashier or teller will have no difficulty in determining the first person to be served in the queue. This is a solution, but the display of the queue display uses electronic equipment that performs a counter so that the possibility of damage to the device exists. In making this final project the author uses Microsoft Visual Basic 6.0 software and MySQL database.
The Study on the Effectiveness of a Learning Ability Improvement Program for Low Achieving College Students

The purpose of this study is to analyze the effectiveness of the learning ability improvement program for low achieving students operated by the Teaching and Learning Support Center for students with low academic performance in college.The subjects of this study were 16 college students who applied for the learning ability improvement program for low achieving students at S University's Teaching and Learning Support Center in Seoul.The learning ability improvement program was a total of 8 sessions and was conducted every 50 minutes each week.Students who participated in the program were students who had difficulty in college learning with an average grade point of less than 3.0 in the previous semester.The effectiveness of the program was analyzed by self-directed learning ability test.As a result of the study, it can be seen that the self-directed learning ability of college students who participated in the learning ability improvement program for low achieving college students improved overall, and thus their learning ability was improved.In other words, it is revealed that the program is highly effective in improving the learning ability that learners can voluntarily lead the entire process of university learning.However, the continuity part of the learning execution area did not show a significant improvement.In the case of low-achieving students, it suggests that there is a need for a way to keep learning after completing the program.Based on these research results, specific suggestions were made on the development and operation of learning support program for underachieving students who are struggling with academic difficulties in college.
What is Your Code Clone Detection and Evolution Research Made Of?

Over the past few decades, clone detection and evolution have become a major area of study in software engineering. Clone detection experiments present several challenges to researchers such as accurate data collection, selecting proper code detection algorithms, and understanding clone evolution phenomena. This paper attempts to facilitate clone detection and evolution research by providing a structured and systematic mechanism to conduct experiments. Clone detection experiments usually consist of several tasks such as fetching data from a version control system, performing necessary pre-processing activities, and feeding the data to a clone detection algorithm. Therefore, a particular clone detection experiment can interpret as a meaningful combination of such tasks into a scientific workflow. In this work, the concrete tasks in a code clone detection workflow are referred to as Building Blocks. This paper presents a useful collection of Building Blocks identified based on a systematic literature review, and a conceptual framework of an experimental testbed to facilitate clone detection experiments. The reusability of the Building Blocks was validated using four case studies selected from the literature. The validation results confirm the reusability and the expressiveness of the Building Blocks in new ventures. Besides, the proposed experimental testbed is proven beneficial in conducting and replicating clone detection experiments.
IMPLEMENTASI BLOCKCHAIN UNTUK OPTIMALISASI SISTEM KEAMANAN DOKUMEN TRANSPORTASI PADA SIM DAN STNK

Data security is very important today, because the amount of big data is increasing day by day, forcing every sector to review its security system. The security of SIM and STNK documents is always associated with the authorities. This authority can be public or private. In this country, in the transportation sector, the security of driver's license and vehicle registration documents are given to two private company authorities. Among them are Presprint PI for SIM and High Tech Telesoft for STNK card. Its purpose is to prove the authenticity, availability, and confidentiality of the SIM or STNK holder. However, until now, the security of these documents is still facing obstacles, such as the presence of several individuals who have fake driver's licenses or fake STNKs. Sometimes with the involvement of a particular system manager, the time it takes for the applicant to get a driver's license or STNK card, data management must be secured by one authority. Faced with this situation, to ensure that only qualified people who have the appropriate driving training certificate and have the original driver's license can be allowed to drive the vehicle. System security is optimized through the use of blockchain technology, in data management transparently and without central authority.
Game-Based English Learning for Young Learners: A Systematic Review

Games has been extensively known to increase students' motivation and interest in learning English. However, its main findings and the trends in English teaching and learning for young learners are still unknown. To fill the gap, the aim of this study was to examine the application of games-based English learning for young learners. A literature analysis was conducted to several databases including Garuda, Science Direct, Google Scholar, Research Gate, Taylor and Francis, Eric, and Jour. System, and a total of 30 journals were analyzed through systematic review was used as the research methodology. The journals were analyzed utilizing a content analysis method and the data are presented in systematic diagrams and tables. The result of the study revealed that game-based English learning was very popular among Indonesian English young learners between the years 2011-2021. In 2020, the popularity of games based on English learning was very high. In addition, the most used research method in game-based English learning studies was quantitative method. Moreover, game-based English learning was most implemented at the elementary school levels, and the most learned language skill was to increase vocabulary. Further analysis of challenges, advantages and effectiveness related to the use of game-based English learning for young learners was also illustrated.
The Developing of Rhetoric and Grammar by Using Grammarly Chrome at SMAN 3 Lembar Academic Year 2020/2021

The purpose of this study is to know whether using Grammarly Chrome is able to increase students’ rhetoric and grammar competence in constructing the report text writing. The method of study used is class action research (CAR) which consists of two cycles and each of them has four steps such as planning, action, evaluation, and reflection. This study focuses on students’ competence in constructing an English report text. The data collected method is the students’ worksheet result after getting the treatment of the teaching-learning process with Grammarly Chrom's help. The result of study indicated that there was a significant increase in student’s competence in terms of constructing the report text. In the 2nd cycle is found the students’ worksheet result average is 85, and there were about 95% of students has achieved a score ≥ of 75. While in the 1st cycle is found the students’ average is 77, and there was 63% of students have achieved a score ≥ of 75. And students respond in using Grammarly Chrome is found significantly interested which’s about early 18 students actively followed the process of teaching learning in the 1st cycle, while in the 2nd cycle students who interested increased into 22 students, based on the data, the using Grammarly Chrome may increase students’ rhetoric and grammar competence, it could give positive influence in terms of constructing an English writer of the report text.
„Hangulatkeltő” nyelvészet? : Emodzsik a nyelvtantanításban

The paper begins with a definition of the concept of emojis (pictograms) before outlining their history, functions, differences in comparison with emoticons, and the problems surrounding the establishment of emojis as a universal language. In the second half of the paper, ten exercises are presented that work with pictograms (based on Szerdi 2018, 2019; Szőcs 2020; Tóth 2020) and can make it easier for students to learn about various areas of linguistics.
FUTURE DIPLOMATS’ SELF-DEVELOPMENT IN THE PROCESS OF PROFESSIONAL TRAINING

The article considers the problem of the future diplomat self-development professional training.&#x0D; With the development of the humanistic paradigm of education the forming an active, creative personality became relevant. The personality of a specialist in the field of international relations must distinguish between clear goals and socially significant value orientations, a creative attitude to work, the desire for high productivity, for continuous self-development.&#x0D; It is found that the main feature of man, which determines the significant characteristics of his nature, is the system-forming unity of a special objectively given creative activity – activity and subjectivity, which contains the need, need, ability and ability to change, expand, design such activities, attitude to it as a condition of their existence and their growth and development in it. A clear idea of the future diplomat about his professional future, the ability to build their professional and educational space at different stages of professional development and willingness to be realized in it is a diagnosed result of personal self-development during training. The self-development of the future diplomat promotes a high level of self-improvement and self-realization in future professional activity.&#x0D; The complexity of a diplomat's professional activity involves a specially organized space for professional training. The formation of such a space consists of several conditions: strategic – approaches, conceptual positions that determine the result, and technical – technologies of professional training in higher education institutions. Introspection is an important thing in self-realization. First, it helps the future diplomat to adapt to the conditions of the living environment. Secondly, it is the basis of the dynamics and development of self-awareness of the future diplomat, which allows you to change your perception of yourself and attitude to yourself in the process of life. Thirdly, it puts the future diplomat in an active position concerning his life, making him a subject of his life (a subjective life position is formed).
ANALYSIS OF INFORMATION SECURITY MANAGEMENT SYSTEM FRAMEWORKS

ISMS is a set of policies, activities, and procedures implemented by the Information Security Department to maintain the confidentiality, integrity, and availability of information from threats and risks. Activities and procedures include identifying security needs, strategies required for implementation, and measuring results for security improvement. This paper aims to review the previous literature to verify the factors that affect information security management. Examination of current information security frameworks and standards, and this paper concluded that, for an organization to adopt a specific framework, this framework must be evaluated based on the security needs of the organization. The framework must include all factors that affect information security from all organizational aspects, people, and technology. Otherwise, the organization will face difficulties and obstacles in implementing the framework and improving security.
LITERATUR REVIEW : EFEKTIVITAS TEKNIK RELAKSASI NAFAS DALAM (DEEP BREATHING RELAX) PADA IBU BERSALIN KALA I

Background: Labor pain is a combination of physical pain due to myometrial contractions accompanied by stretching of the lower uterine segment, which blends with the psychological condition of the mother during labor.Anxiety, fatigue and maternal worry all combine to exacerbate existing physical pain.
HEATING MODELS USING ARTIFICIAL INTELLIGENCE

The aim of the article is to show the use of artificial intelligence in improving the heating process in continuous industrial furnaces.To improve the heating in continuous furnaces, heating control based on models that consider the dimensions, material, and heating method can be used.These models can be built based on the classical description by differential or differential equations.The difficulties in solving them, especially considering the variable parameters of these equations, seem to be a reasonable possibility of using artificial intelligence tools, namely, genetic algorithms for parameter estimation and artificial neural networks, to create your own heating model.
Development of a Malaysian Sign Language Interpreter by using Image Recognition Techniques for the Community to Understand the Deaf

In Malaysia, people with hearing problems still suffer going through their daily life because they struggle to have a conversation with the community who does not know or how to do sign language efficiently. This project aims to develop a Malaysian Sign Language interpreter to convert hand sign language to texts, in order to facilitate the conversation between the deaf and the community. Basically, when a hand sign is detected by the camera device, a text will be shown to its corresponding meaning. The requirement for this project is a laptop or desktop that has camera access for image recognition and internet access to connect to Jupyter Notebook to run the specific coding. The system would implement a camera and vision system to capture images of hand signs. These images would be further been annotated correlated to their meaning. It will undergo a training process digitally and eventually being digitally recognized using a series of image processing algorithms and recognition algorithms. Lastly, the system will detect hand signs and interpret the meaning of the hand sign by using the camera. Hence, the community can understand them well and able to communicate. At the end of this project, the system able to convert hand sign into visible text and manage to help the deaf to connect to community in their daily life.
Develop of Automatic Dust Catcher Robot of Clothes

When clothes are soiled with dust or animal hair, they need to be removed. However, since this process is mainly done manually, take labor and time. Then in this paper, we develop a robot whose purpose is to automatically remove dust from clothes on hangers with a brush. This robot used two brushes. First, the robot uses two brushes to hold both sides of the clothes on the hanger. Next, move the brush from top to bottom to remove dust. In addition, by moving the brush extends and repeating the action of removing dust, dust can be removed from the entire clothes in about 2 minutes. This robot can reduce the consumption of labor and time.
Finger Gesture Vocalizer

A Gesture Vocalizer is a small scale or a large scale system that provides a way for dumb and mute people to communicate easily. The research paper defines a technique, Finger Gesture Vocalizer which includes sensors attached to the gloves above the fingers of the person who wants to communicate. The sensors are arranged in such a way on the gloves, that they can capture the movements of the fingers and based on the change in resistance of the sensors, it can be identified what the person wants to say. The message is displayed on the LCD and is also converted to audio using the APR33A3 audio processing unit. Standard sign languages such as that of American Sign Language which is used by dumb and mute people to communicate can be employed while wearing these gloves.
THE EXISTING ROLES OF LITERACY TEACHERS IN THE ERA OF MULTILITERACIES: A SOCIOCULTURAL PERSPECTIVES

Literacy is defined traditonally as ‘the ability to read and write’ and it is also regarded as the ability to understand every single iinformation in different contexts or fields. Nevertheless, the new literacy approach in the point of view of the post-structuralism covers the representation of texts in context, different values, meanings and the principles of multiliteracies. Traditional and modern concepts of literacy have correlation with a number of sociocultural activities which occurs in the in the society as well as the classroom which represents a social space. This study focuses on explaining the term literacy and multiliteracies in the postmodern world and also the existing roles of literacy teachers for the practical activities in Indonesian literacy classrooms. Keywords: Literacy Teachers, Multiliteracies, Sociocultural Perspectives
Building Data Warehouse and Dashboard of Church Congregation Data

A data warehouse is essential for an organization to process and analyze data coming from the organization. Hence, a data warehouse together with a dashboard to visualize the processed data are built to accommodate the need of the church administrator to analyze a large set of church congregation data. The data warehouse is built using the Kimball principle. This Kimball principle emphasizes the implementation of a dimensional model in the data warehouse, not a relational model used in a regular transactional database. An ETL process that contains extract, transform and load processes is used to retrieve all data from the regular transactional database and transform the data so the data can be loaded into the data warehouse. A dashboard is then built to visualize the data from the data warehouse so the users can view the processed data easily. Users can also export the processed data into an excel file that can be downloaded from the dashboard. A web service is built to get data from the data warehouse and return it to the dashboard.
Difusi Inovasi Melalui Pendampingan Mgmp Matematika Smp Dalam Pembuatan Video Virtualisasi Manipulatif Konkret Untuk Pembelajaran Jarak Jauh

During the Covid-19 pandemic, teacher problems increased to maintain the effective implementation of mathematics learning. The available classical and individual concrete manipulative product innovations cannot be used in learning because learning policies during the pandemic still have to be carried out as distance learning. To overcome this problem, assistance was carried out in making videos of using concrete manipulatives to MGMP as concrete manipulative virtualization. The results of this activity show that there is an increase in the average score of the overall pre-self test competence to the post-self test. The same is true for each competency. In addition to producing video products on target, video quality is better, as well as increasing personal partners who act as actors and narrators. As a suggestion in this activity, mentoring continues to be carried out on an ongoing basis as a stage of diffusion of other innovation products and guidance for MGMP and partners of this activity can transmit to other MGMP member teachers.
APLIKASI PENGENALAN IRIS MATA MENGGUNAKAN METODE HOUGH TRANSFORM DAN GABOR WAVELET

Biometric system is a development of the basic method of identification system by using the characteristics of humans as it’s object. These include face, fingerprints, signature, palms, iris, ears, sounds even DNA. Face recognition is one of the identification techniques in biometrics that uses part of the face as its parameter. One of the biometric parts of face is Iris. Iris is a unique part of the eyes, this is because the pattern of the somebody eyes will be quite different from the other, even genetically identical twins have different iris patterns. This research will use the Hough and Gabor method to perform iris recognition. The results show that the application has succeeded in recognizing the selected eye image if the eye image is registered in the database.