Reviewerly/exHarmony huggingface dataset:
Persepsi Guru dan Siswa terhadap Penerapan Model Discovery secara Daring pada Pembelajaran Menulis Naskah Ceramah

Implementation of online learning with the application of the invention model increases perceptions between teachers and students. This study aims to determine the perceptions of teachers and students about the implementation of the invention model online in writing script learning. The research method used is a qualitative method using a case study approach. The population in this study were Indonesian language subject teachers and ten-grade students. The sample was taken using the purposive sampling technique. Data collection techniques are carried out by filling out a questionnaire through the Google form and interviews with teachers and students.
The Influence of Shared Leadership on Employees’ Knowledge Sharing Behavior

Individual knowledge sharing behavior is one of the most basic links in the process of knowledge management.How to make employees generate the willingness to share knowledge is more important than the transfer, storage and utilization of knowledge.Knowledge sharing behaviors arise from the willingness to share.Leadership style is one of the organizational context factors.Different types of leadership styles have differences in individual knowledge sharing behaviors.In a specific situation, based on the theoretical basis of shared leadership, the relationship between knowledge sharing motivation and shared behavior, and through case analysis, it proves the impact of shared leadership on employees' knowledge sharing behavior.The results show that shared leadership has a non-negligible influence on knowledge sharing motivation and knowledge sharing behavior.
Current Failure Prediction for Final Examination via Nearest Neighbor Method using Past Trends of Weekly Online Testing

We showed previously that we can predict the success/failure status for the final examination to each student at early stages in courses using the current trends of estimated abilities to the learning check testing in terms of the item response theory, where we used the same testing results in prediction and in construction of the mathematical model. However, such a treatment may cause the overfitting effect. In this paper, we have shown that we can still predict the current success/failure status for the final examination using the past trends of estimated abilities to the learning check testing and the past final examination results. In prediction, we applied the nearest neighbor method for determining the similarity in the trends of estimated abilities to the learning check testing.
A hybrid regularizers approach based model for restoring image corrupted by Poisson noise

Image denoising is one of the fundamental problems in digital image processing.This problem usually refers to the reconstruction of an image from an observed image degraded by noise.There are many factors that cause this degradation such as transceiver equipment, or environmental influences, etc.In order to obtain higher quality images, many methods have been proposed for image denoising problem.Most image denoising method are based on total variation (TV) regularization to develop efficient algorithms for solving the related optimization problem.TV-based models have become a standard technique in image restoration with the ability to preserve image sharpness.In this paper, we focus on Poisson noise usually appearing in photon-counting devices.We propose an effective regularization model based on combination of first-order and fractional-order total variation for image reconstruction corrupted by Poisson noise.The proposed model allows us to eliminate noise while edge preserving.An efficient alternating minimization algorithm is employed to solve the optimization problem.Finally, provided numerical results show that our proposed model can preserve more details and get higher image visual quality than recent state-of-the-art methods.
Phish-Shelter

Phishing attack is a deceitful attempt to steal the confidential data such as credit card information, and account passwords. In this paper, Phish-Shelter, a novel anti-phishing browser is developed, which analyzes the URL and the content of phishing page. Phish-Shelter is based on combined supervised machine learning model.Phish-Shelter browser uses two novel feature set, which are used to determine the web page identity. The proposed feature sets include eight features to evaluate the obfuscation-based rule, and eight features to identify search engine. Further, we have taken eleven features which are used to discover contents, and blacklist based rule. Phish-Shelter exploited matching identity features, which determines the degree of similarity of a URL with the blacklisted URLs. Proposed features are independent from third-party services such as web browser history or search engines result. The experimental results indicate that, there is a significant improvement in detection accuracy using proposed features over traditional features.
English Semantic Recognition Based on Intelligent Algorithm

In the process of translation, semantic barriers have attracted extensive attention from researchers.Taking the translation between Chinese and English as an example, this paper used intelligent algorithms to recognize the semantic role of English, introduced the semantic role labeling, designed a semantic role encoder, integrated the encoder with the transformer model, and tested the translation performance of the system.The experimental results showed that the BLEU-4 score of the combined system was significantly higher than the baseline system and the traditional transformer system.The average BLEU-4 values of the three systems were 35.02, 35.78, and 36.9, respectively, and the score of the combined system was the highest.The specific analysis of several examples also found that the translation results of the combined system were more reliable.The experimental results verify the effectiveness of the combined system in machine translation and the importance of semantic recognition in translation.
Efficient Mining of Interest Patterns on Click Stream Data

Nowadays, large amount of data is generated daily in e-commerce applications as click stream data. Because of the availability of this tremendous amount of data analyzing the user browsing behaviour and finding frequent navigation patterns of different web pages accessed by web users is an key element for retailers to optimize the website and personalized the web services of different e-commerce websites. User browsing behaviour is evaluated based on user interests on web pages or products. There are different parameters are considered while analyzing the click stream data for calculating frequent navigation patterns and context based customer behaviour in online data bases. In this paper we developed different models for optimizing and personalizing web service and sequential frequent patterns using the parameters: browsing path, frequently visited web pages, time duration of web pages and user interest. These novel models uses the parameters and applied on click stream data to optimize the web pages and improve the personalized recommendation.
Implementation of Reinforcement Skill in Teaching English in The Pandemic Situation

This study aimed to identify the types of reinforcement skills and investigate the implementation of reinforcement skills used during the online learning process at SMP Laboratorium Undiksha Singaraja. This study used a qualitative descriptive method as the research design. This study also used an English teacher as the research subject. In collecting data, this study used three methods, namely; observation, interviews, and questionnaires. This research was conducted online due to the COVID-19 pandemic. Through the data obtained, this study found the results of the type of reinforcement and the implementation used by teachers during online learning. There are four types of reinforcement used by the teachers, such as; (1) positive verbal reinforcement in the form of praise and partial reinforcement, (2) positive non-verbal reinforcement in the form of gestures, (3) negative verbal reinforcement in the form of enforceable statements, questions, calling out the students' names, and (4) negative non-verbal reinforcement in the form of facial expressions and record the students' misbehavior. In addition, the reinforcement implementation were in line with theories suggested by experts by following the five principles in giving reinforcement.&#x0D;
Impact of Social Networking Sites on Students’ Learning English Language at Tertiary Level in Bangladesh

With the advancement in technology, Social Networking Sites (SNS) are being used by millions of students in Bangladesh for various purposes. People use SNS for communication, interaction' sharing posts, photos, videos; creating blogs, sending messages, and for real time conversations (Zaidieh, 2012). Students can learn their target language through SNSs as these platforms engage students more and inspire them. Moreover, the usage of SNSs minimises learners’ fear and nervousness and authority of the instructor (Gilbert, Fiske, &amp; Lindzey, 1998; Beauvois, 1998, cited in Millis, 2011). Moreover, an opportunity of interaction for both teachers and students is ensured through authentic tasks and materials which promote constructivist learning through meaningful communication (Woo, Herrington, Agostinho, &amp; Reeves, 2007). This study has explored the impact of SNS in learning English at tertiary level. So, it focuses on the effects of Social Networking Sites in language learning platform, developing reading, writing, listening and speaking skills and creating ease to teachers and learners in English has been examined in this study. To investigate this, I implemented quantitative research method with 120 students studying Honour’s in English Language and Literature at Public, National and Private Universities. Forty students were selected randomly from each of the university category. All the students were surveyed by using close-ended questionnaire and later descriptive statistical method was used to analyse the data. Despite having hesitation of communicating with each other, it is clearly evident that students use SNS mainly Facebook to improve their language skills.
Lorentz Force Experiment Prop based on IoT (E-Lorentz) to Support the Learning Process of Physics Subject for 9th Grade

Lorentz force teaching aids are proven to improve student’s cognitive abilities. The average result of N-Gain after using Lorentz force prop is 0.8 which is included in the high category. In the learning process, the teacher needed to design the course content, guiding, directing, and evaluating student learning outcomes. In the current situation, this learning process is still being done conventionally. Along with the development of technology, the Internet of Things (IoT) can facilitate the teaching and learning process. IoT allows data to be sent across a network without the need for human-to-human or human-to-computer interaction. The implementation of IoT in Education can also be called Internet of Education Things (IoET). IoT has many benefits in the teaching and learning process for both teachers and students. Students can learn directly with teaching aids so that their cognitive understanding increases. Teachers can also curtail activities that were previously done manually by reading activities that have been automatically saved, such as preparing, directing, giving questions, to recapitulating assessments. In this study, IoT technology has been implemented into the Lorentz force teaching aid (E-Lorentz) and the system performance has been analyzed based on its functionality parameters, accurate data reading and suitability of the assessment are the main parameters. The reading accuracy test yielded a difference of 0.474 X 10-4 N, with an error percentage of 2.92% determined by using the Mean Absolute Percentage Error (MAPE) method. Data reading and suitability of the assessment have been tested and are able to run efficiently at 100%
PENGARUH EKSTRAK ETANOL KULIT BUAH NAGA MERAH (Hylocereus Polyrhizus) TERHADAP KOGNITIF MENCIT GALUR SWISS WEBSTER DENGAN INDUKSI ALKOHOL

The red dragon fruit skin plant (Hylocereus polyrhizus) has high antioxidant activity so it has the potential to treat several diseases. The purpose of this study was to determine the effect of ethanol extract of red dragon fruit skin on cognitive and memory of mice and to determine the best dose in increasing memory of mice. Red dragon fruit skin simplicia is obtained from Mojokerto Regency and extracted using 96% alcohol. The test animals in this study were divided into 5 treatment groups, that is negative control 0.5% Na CMC, positive control ginko biloba, and variations in the dose of red dragon fruit skin (Hylocereus polyrhizus) ethanol extract of 100 mg / Kg BW for mice, 200 mg. Mice / Kg BW and 400 mg / Kg BW of mice were given orally and the data on the memory score of mice during the trial, after 10% alcohol induction, and after treatment for approximately 30 days were obtained. The method of this research is radial arm maze, a technique for studying serial learning sequences and calculating memory scores in test animals.The results of statistical analysis showed that the third dose of 400 mg / Kg BW for mice was not significantly different from the positive control for ginko biloba 0.312 mg / 20 gram BW for mice so that it can be concluded that the best dose in increasing memory of mice is dose III 400 mg / Kg BW of mice.Keywords: hylocereus polyrhizus, red dragon fruit skin, memory score, radial arm maze
The UNMANNED AERIAL VEHICLE (UAV) AIRCRAFT DESIGN GALAK-24 WITH AUTONOMOUS METHOD

Abstract: Unmanned Aerial Vehicle is a type of aircraft that is controlled by a remote-control system via radio waves. UAV is an unmanned system (Unmanned System), which is an electro-mechanical-based system that can carry out programmed missions with the characteristics of a UAV that is able to fly without a pilot capable of controlling automatically and can run again by carrying several weapons or other tools. An autopilot is a mechanical, electrical, or hydraulic system that guides a vehicle without human intervention. The application of the Autonomous control system on the UAV is carried out by using Autonomous equipment in the form of components such as Flight Controller, GPS, Mission Planner Software and Telemetry. The number of parameters set by the observations made on the movement of the UAV when in Auto mode. The flight test used a square waypoint with a distance of 500 meters on each side. The UAV is able to fly in an Autonomous manner stably using a predetermined Waypoint. This is a pure experiment by means of tool testing and data collection that requires very high attention from the crew and results in fatigue.
Meningkatkan Daya Kreatif Siswa Menggunakan Teknologi Digital Sebagai Media Pembelajaran Daring

Corona virus affects all aspects of life. The teaching and learning process in the world of education is also affected by the corona virus. Changes in learning from conventional to online make teachers, guardians, and students must be able to adapt to the online learning system. To be able to carry out online learning properly, good cooperation between teachers and guardians is needed so that students are able to work on and absorb school material. the only learning media that can be used in mass for the sake of namely by utilizing technology. There are many mass media that can be used to support the teaching and learning process online, but the most important thing here is that it can be connected to the internet network. Especially in the field of art education, it requires applications that can still increase student creativity amid this pandemic. So that in this study the author aims to convey the management of online learning by using several applications that can be used to support student creativity. This study uses a management approach to analyze data and controls in the implementation of online learning. This research uses descriptive qualitative method, data collection uses participatory observation methods, interviews, literature study, and documentation. Through this research, it can be seen that by using the proper management and utilization of media online learning for art education will continue and can hone children's creativity.
BITCOIN AND SYSTEMIC RISK

This study examines the potential risk reducing benefits of Bitcoin against systemic risk in 28 countries from 2011-2020.The results indicate that Bitcoin provides a safe haven in times of extreme financial market volatility and during periods of financial crisis.
Pengembangan Media Pembelajaran Bahasa Indonesia Berbasis Website

The purpose of this research is to 1) Create teaching media as a solution for Distance Learning in the pandemic; 2) Learning facilities to increase learning motivation especially high school students grade X.The research methodology used to create indonesian language learning media based on this website is a qualitative descriptive method using the approach of Model FOUR D and ADDIE Model with the results of this research concluded this research has produced a prototype product of Indonesian language learning media Class X semester 1 high school level through stages that adapt the ADDIE model (Branch, 2009).The selection of the model is due to the sekuensial and systematic ADDIE model to produce a learning media product.Indonesian learning media Grade X semester 1 high school Wordpress platform and supported by other applications such as Ms. Office, Adobe photoshop, Google aplication, and Youtube.The learning media developed contains observation report text material, exostrosy, anecdotes, and folklore.The learning media that is created refers to the syllabus and RPP that have been created based on observations and references of previous face-to-face learning that meet the elements of KI and KD, Materials, Evaluation, Libraries, Instructions, and Profiles.
E-LEARNING UTILIZATION AND THE IMPACT FOR PEOPLE DEVELOPMENT IN RETAIL COMPANY

Industrial 4.0 has created changes in so many aspects of human life which require people not only to master their field of expertise but also to keep themselves at par with the latest trend and technology. Changes that happen rapidly, creating a volatile and complex condition with high level of uncertainty and ambiguity, which known as VUCA era. This state forcing workforces to be able to adapt in fast pace. E-learning which combines the traditional teaching process with the use of technology such as internet, Learning Management System (LMS) considered as the appropriate method to be implemented in order to meet all the challenges and requirements of industry 4.0. In retail industry, PT XYZ. and its subsidiaries have been utilizing Learning Management System (LMS), MOOC (Massive Open Online Courses), and virtual classes as part of the development program given to the employees. The main goal is to ensure that the employees as their most important asset will be able to keep themselves updated to the latest trend, topic and communication from the company. While the intention of this article is to see how the impact of E-Learning for people development is in this Industry 4.0 era, particularly in Indonesia’s largest lifestyle retail company.
A CASE STUDY ON HYBRID CLOUD APPROACH TO AUTOMATE THE CLOUD SERVICES BASED ON DECISION SUPPORT SYSTEM

In general word, cloud computing is accessing and storing applications or data over the Internet rather than on computer’s hard disk. Cloud computing is a term that refers to the usage of shared computing resources as an alternative to having programmes run on local servers. This paper explained the comparative study of various cloud services techniques i.e., PaaS, IaaS, and SaaS. Cloud computing combines many computing services and servers to provide their total capacity accessible on an on-demand, pay-per-cycle basis. Cloud computing, like many other technology services, has provided several advantages.
REPETITIVE FEATURE EXTRACTION WITH LOCALIZED DELAUNAY TRIANGULATION FOR COPY-MOVE-FORGERY-DETECTION

The newly invented sophisticated softwares like Adobe Photoshop make the alteration of image very easy.Advanced tools are provided in these softwares that make the image look real which makes it inconvenient to be identified by the naked eye.Taking out features with key point based method using Scale Invariant Feature Transform (SIFT) is discussed in this paper.The extracted feature points are then modeled to with Delaunay Triangulation to get a group of triangles.Mean vertex descriptor of these triangles is matched.Outlier detection is done using Random Sample Consensus (RANSAC).Equivalent methods are outdone by the proposed approach in implementation.
An Optimization of Several Distance Function on Fuzzy Subtractive Clustering

Fuzzy Subtractive Clustering (FSC) is a technique of fuzzy clustering where the cluster to be formed is unknown. The distance function in the FSC method has an important role in determining the number of points that have the most neighbors. Therefore, this study uses several distance functions. The results obtained indicate that the DBI results indicate that the Euclidean distance has a good cluster evaluation result in the number of clusters 4. Meanwhile, for the PC value the combination of the Minkowski Chebysev distance produces a good PC value in the number of clusters 2.
THE INFLUENCE OF STUDENT GOVERNMENT ON THE DEVELOPMENT OF FUTURE TEACHERS’ LEADERSHIP QUALITIES

The article theoretically substantiates the influence of participation in student government on the development of leadership qualities of future teachers. The complex of leadership qualities of a modern teacher, which is formed in higher education students during their studies in the higher education institution (HEI), namely initiative, organization, communication, responsibility, creativity, critical thinking, research qualities, emotional intelligence, social activity, strategic vision, ability to work in a team, social adaptability, ability to lead, tolerance, willingness to come to the rescue, honesty and reliability, has been defined. These qualities will help a future teacher to carry out their own professional activities at a high level; will promote the development of skills to quickly establish contacts; direct class work; find quick and unusual solutions to problems; feel and understand the inner world of others; set short and long life goals and achieve them; work in a team; etc. This indicates that the graduate of the HEI must have a full set of leadership qualities that will contribute to his successful professional activity and will actively influence the development of relevant qualities in his students. Student government is emphasized as a self-organized activity that develops the leadership qualities of students, skills to work in a team, plan and predict their own team activities, creativity, critical thinking. An example of the implementation of the role-playing game «Day of Student Government», tested by us at Bar Humanitarian and Pedagogical College named after Mykhailo Hrushevskyi, as a component of interactive technology aimed at developing leadership qualities of future teachers in the process of attracting to the activities of student government bodies, is proposed.