Reviewerly/exHarmony huggingface dataset:
Development of an E_Learning Management Model Based on Hybrid Learning

This study aims to analyze the e-learning governance model that has been implemented so far, analyze the e-learning governance model that suits the needs of teachers, analyze the validity of the e-learning governance model developed based on hybrid learning and analyze the effectiveness of the e-learning governance model.Learning based on hybrid learning developed at SMP 2 Kudus.This research method in terms of research procedures, types of data and analysis, including research and development, which is only carried out until the fifth stage.The research flow design is research and collection, planning, development of the initial draft, initial field trials and limited revision of the results of product trials (main product revision).The subject of product trial was to 40 SMP 2 Kudus teachers.The data in this study were analyzed using descriptive analysis and quantitative verification analysis.The results showed that the N-Gain analysis of the hybrid learning governance model obtained an average NGain score for the control group of 61.23 or 65.60% which was categorized as quite effective after the development of the e_learning model with a Ngain score of at least 46.00 and a maximum value.92.10.The conclusion is that the hybrid learning-based e_learning model is quite effective because it is easier to use and more useful.Suggestions, it is hoped that teachers can implement a hybrid learning-based elearning governance model with the help of supporting media for the Ekleapp.comapplication.Supporting facts about the quality of educators in Indonesia in terms of e_learning management are strengthened by direct observations made by researchers through seminars, training, workshops and technical guidance for teacher forums at regional, regional and national scales in Indonesia.manage online learning or virtual classes.The findings from field observations are that there are weaknesses in online learning, namely the management of e_learning which is considered less effective for use during learning due to both internal (human resources) and external (infrastructure) constraints.This causes teachers to no longer use the e_learning system in learning.So it can be concluded that the fact that the condition of using e_learning in Indonesia is currently not optimal.
PENGEMBANGAN SISTEM PAKAR PEMILIHAN JAMU DENGAN DIAGNOSA PENYAKIT PADA MANUSIA DENGAN METODE FORWARD CHAINING

Herbal medicine is a medicine from natural ingredients whose properties have not been scientifically proven, in other words, it has not been subjected to clinical or clinical trials, but its properties are trusted by people based on experience. And at this time many herbal products are marketed in general, and not a few people are confused to choose the right herbal medicine according to their circumstances, so people have to consult or ask before choosing, and make the store experience a long queue on customers. Therefore an expert system is needed for herbal medicine so that people can choose the right herbal medicine according to their circumstances or conditions, and this system can reduce the queue at the herbal medicine shop customers. Expert system built in this study uses the forward chaining method. Case study for the system that is "Pasuruan herbal shop fan" which contained 70 types of herbal medicine, the results of tests conducted by this system are in accordance with the diagnosis.
The Use of Students’ Oral Presentation in Enhancing Students’ Response in Teaching Reading

Abstract: This study was aimed to know is there an effect of the use students’ oral presentation in enhancing students’ response in teaching reading . The research design of this study used pre-experimental in one group pretest – posttest design to know students’ response in teaching reading. Pre-test was administrated at the first meeting before teaching them by using each of the defined techniques for the students and post-test was given to the students at the same test after completing the treatment. Then, the researcher analyzed and compared the result of the pre test and posts test to measure the independent variable. The participants of the research were the eleventh grade of SMAN 1 Suralaga, consists of 35 students. The research instrument used by the writer was oral question. The researcher asked the students to give respond based on the text given. This was aimed at knowing the students respond toward the reading text. After the data were collected, the researcher then analyzed them by using t test formula. The finding of the research showed that: mean score of pre test was 15.22, while mean score of post test was 20.87, and observed was 6.94. the table with df=n-1 (35-1=34) and significance level at 0.05 was 2.31. It is means that the treatment by using students oral presentation in enhancing students’ respond in reading text, there was a positive effect to students’ response in teaching reading&#x0D; &#x0D;
Data Protection through Data Security-as-a-Service using Blockchain Enabled Platform

Data access is inevitable in today’s world and it is prone to threat attacks and hence data security is utmost important for any enterprise to handle industrial solutions. The economics of data being used across the industries rapidly growing in current digital world so the potential data related threats is also rapidly growing. Data security is an integrated solution component for any Enterprise solution but with the growing demand on data security and potential threat handling, Data Security as a Service (DSaaS)f is a new model widely accepted in modern age architecture in Blockchain and Big Data world combining the power of cloud based security services, decentralized network in Blockchain and tamper-proof ledger management. Any Enterprise Security architecture comprises of how data is handled in a secured way and how integration between services (consumers/producers or API interaction or any middleware services) handles data between them. Hence it is inevitable to that future technology adoption should include Data Security-as-a-service for zero-trust solution design complying with compliance and security standards for industry.
Penerapan Media Video Animasi dalam Keterampilan Menulis Karangan Deskripsi Bahasa Jerman

Abstract. This research is a classroom action research conducted with 2 cycles. This study aims to determine the planning, process, and learning outcomes by using animated videos in the skills of writing descriptive essays in German for the XII grade students of SMAN 11 Makassar. This research data consists of two types, namely qualitative data and quantitative data. Qualitative data was obtained through observation, while quantitative data was obtained through writing skills tests in cycle I and cycle II. The data were analyzed using the percentage technique. The results showed that writing skills with the percentage of scores obtained by students in the first cycle reached 65.71 and the second cycle reached 78.28. These results indicate that the application of animated video learning media improves the writing skills of German language description essays for class XII students of SMA Negeri 11 Makassar.
Sagu Sabu Program to Improve Teachers’ Coursebook Writing Skills

Creativity and innovation are the hallmarks of 21st-century teachers.Teachers are required to actively foster their creativity so that innovative teacher products will emerge as works that are beneficial to themselves, schools, society, the nation, and the country.A number of teaching staff or teachers in Indonesia have not thought creatively even though the government has provided opportunities for them to be creative in various fields, such as writing coursebooks, developing teaching materials, making learning media, and increasing other academic productivity.One of the weaknesses they have is that they are not productive in writing coursebooks or textbooks, even though writing books is an integral part of teaching and learning activities.Increasing the productivity of textbooks for teachers through the Sagu Sabu program is an effective effort that greatly helps teacher achievement in schools because so far teachers have been passive writing textbooks for their own needs, even for mass publication efforts.The purpose of this study is to increase teacher productivity in writing subject books.This study uses a one-cycle action research type.This involved 10 teachers of SMAN 12 Semarang City.The research instruments used were two SurveyMonkey application questionnaires, field notes, and FGD.An action to increase teacher productivity in writing coursebooks is the Sagu Sabu program.Based on the research data obtained, it is known that before the Sagu Sagu program was implemented, there were no teachers who wrote coursebooks at all (0%) while after the program was implemented there were 4 teachers who succeeded in writing coursebooks, even though the percentage was very high.It was still very small (30.76%) when compared to the total number of participants.Besides, based on the responses to a questionnaire about the Sagu Sabu program, 84.62% agreed that this program is very important to increase teacher creativity in writing course books and lead them to become productive writers.The conclusion is that the Sagu Sabu program is very effective in helping increase teacher productivity in writing coursebooks so that teachers can have innovative works that are very beneficial for themselves and the school's reputation.Therefore it is highly recommended for policymakers in schools and the government to make this program a success so that more and more teachers will be productive in writing coursebooks.
Organizational and managerial conditions for creating a health-saving environment of an educational organization

This article examines the organizational and managerial conditions for creating a health-preserving environment of an educational organization, presents a model of a health-preserving environment that contributes to increasing the levels of activity, positive cognitive motivation, interest, organization, independence of students of the educational space. Authors highlighted that it is necessary to properly organize students' individual educational and cognitive activities that correspond to individual capabilities and abilities, as well as the conditions of the educational environment.
APLIKASI SISTEM PAKAR DALAM MENDIAGNOSIS PENYAKIT KULIT PADA MANUSIA BERBASIS VISUAL

Health is a blessing that is very important for humans, most of us, many of us don't really care about skin diseases caused by fungi such as tinea versicolor, water fleas, ringworm and scabies. In general, people are quite aware of how to deal with the symptoms of skin diseases suffered. But it would be better to include medical participation in detecting a disease symptom, because many disease symptoms are considered trivial by some people but can be fatal to human skin. So it is necessary to make an application based on medical knowledge to diagnose skin diseases in humans which is used as a tool in obtaining information about skin diseases in humans and provide recommendations as the first action that must be taken to repeat skin diseases in humans. The knowledge base is structured in such a way into a database with several tables. Drawing conclusions in this expert system using the forward chaining inference method. The expert system will provide questions to the user in the form of symptoms of several diseases and the user will answer these questions. Until the user will get a solution from the results of the question earlier.
Aplikasi Media Pembelajaran Teknologi Augmented Reality Berbasis Android

This research was conducted at SMK N 3 Gorontalo, which aims to develop learning media applications using augmented reality technology. At first the teaching system only led to conventional teaching, namely through power point teaching materials and print media as well as the lack of available hardware or network equipment and the absence of computers that were ready to be disassembled and then developed using augmented reality technology. Through this research, it is hoped that the learning process will be more interactive. This application was developed using a prototype system development method that has a Requirements Gathering and Analysis phase, Quick Design, Build Prototype, User Evaluation, Refining Prototype and Engineer Product. The result of this study is a software application, namely an android-based augmented reality technology learning media application.
Hubungan kualitas informasi repositori ilmiah nasional dengan tingkat kepuasan di Lembaga Ilmu Pengetahuan Indonesia Bandung

Introduction. The development in the field of information technology is growing rapidly from time to time. Digital-based repositories are a form of the use of information technology. Therefore, this study focuses on knowing the extent to which an information source such as a repository has a quality system that is able to produce quality information so as to provide satisfaction to its users.&#x0D; Research methods. This study used a correlational study method with a quantitative approach. The population were users of the National Scientific Repository, namely LIPI researchers in the Bandung area.&#x0D; Data Analysis. This study used a descriptive and inferential statistical analysis using the Spearman Rank test with SPSS application.&#x0D; Analysis Data. The results showed that the information quality variable has a significant relationship with the level of user satisfaction of the National Scientific Repository.&#x0D; Results and Discussion. The results of the study provide an illustration that the information quality variable has a significant relationship with the level of user satisfaction of the National Scientific Repository.&#x0D; Conclusions and Suggestions. This study shows that the system of National Scientific Repository is able to provide quality to the information provided, that having an impact on the level of satisfaction of the users of National Scientific Repository itself. Information quality should consider several dimensions such as time, content and format.
Unsupervised Detection of Solving Strategies for Competitive Programming

Transformers are becoming more and more used for solving various Natural Language Processing tasks. Recently, they have also been employed to process source code to analyze very large code-bases automatically. This paper presents a custom-designed data analysis pipeline that can classify source code from competitive programming solutions. Our experiments show that the proposed models accurately determine the number of distinct solutions for a programming challenge task, even in an unsupervised setting. Together with our model, we also introduce a new dataset called AlgoSol-10 for this task that consists of ten programming problems together with all the source code submissions manually clustered by experts based on the algorithmic solution used to solve each problem. Taking into account the success of the approach on small source codes, we discuss the potential of further using transformers for the analysis of large code bases.
Bitcoin mining breakdown: Is mining still profitable?

We provide an updated estimation of the energy consumption of the Bitcoin network, and a calculation of the evolution of the production cost of Bitcoin over time. Using these data, we conclude that since June 2018 Bitcoin mining is no longer profitable for commodity miners without access to electricity prices below 0.14 $/kWh. This phenomenon explains why many Western miners have dropped out of the circuit, further increasing the centralization of mining activity in China. In addition, we estimate that the marginal cost of the production of bitcoin is around 1,952 US dollars. Below this price the cost of mining would not be profitable, even with the most efficient equipment and the lowest possible price for the energy required. This could lead to a massive exit of the biggest mining players, with unpredictable consequences for the future of this cryptocurrency.
Smart Home Automation using Hand Gesture Recognition System

Visual interpretation of hand gestures is a natural method of achieving Human-Computer Interaction (HCI). In this paper, we present an approach to setting up of a smart home where the appliances can be controlled by an implementation of a Hand Gesture Recognition System. More specifically, this recognition system uses Transfer learning, which is a technique of Machine Learning, to successfully distinguish between pre-trained gestures and identify them properly to control the appliances. The gestures are sequentially identified as commands which are used to actuate the appliances. The proof of concept is demonstrated by controlling a set of LEDs that represent the appliances, which are connected to an Arduino Uno Microcontroller, which in turn is connected to the personal computer where the actual gesture recognition is implemented.
Alur Pendaftaran Calon Mahasiswa Baru Politeknik Sekayu Berbasis Multimedia

Multimedia is one form of information technology, namely information technology that combines images, writing, text, sound, video, animation into an information system that is useful in making decisions for its users. This media displays information about the registration flow of prospective new students in a clear and concise manner. The method used is the MDLC (Multimedia Development Life Cycle) method as software development. For an explanation of each registration flow information using audio, in addition to making this media more interesting, characters or animations are displayed.
Towards Improved Medical Image Segmentation Using Deep Learning

&lt;p&gt;Convolutional neural networks have been asserted to be fast and precise frameworks with great potential in image segmentation. Within the medical domain, image segmentation is a pre-cursor to several applications including surgical simulations, treatment planning and patient prognosis. In this thesis, we attempt to solve two major limitations of current segmentation practices: 1) dealing with unbalanced classes and 2) dealing with multiple modalities. In medical imaging, unbalanced classes present as the regions of interest that are typically significantly smaller in volume than the background class or other classes. We propose an improvement to the current gold standard cost function to boost the focus of the network to the smaller classes. Another problem within medical imaging is the variation in both anatomy and pathology across patients. Utilizing multiple imaging modalities provides complementary, segmentation-specific information and is commonly employed by radiologists when contouring data. We propose a image fusion strategy for multi-modal data that uses the variation in modality specific features to guide the task specific learning. Together, our contributions propose a framework to maximize the representational power of the dataset using models with less complexity and higher generalizability. Our contributions outperform baseline models for multi-class segmentation and are modular enough to be scaled up to deeper networks. We demonstrate the effectiveness of the proposed cost function and multimodal framework, both individually and together, on benchmark datasets including the Breast Ultrasound Dataset B (BUS) [1], the International Skin Imaging Collaboration (ISIC 2018) [2], [3] and the Brain Tumor Segmentation Challenge (BraTs 2018) [4]. In all experiments, the proposed methods match or outperform the baseline methods while employing simpler networks&lt;/p&gt;
Mathematical modeling of water purification in a bioplato filter

A mathematical model of filtration taking into account clogging and suffusion in the bioplato filter system in the two-dimensional case was built. The constructed mathematical model takes into account the physical effects of the dynamic change of porosity and the dependence of the filtration coefficient on the concentration of contaminants, which is not in the known analogues
Pandemic Pivots in Teacher Education: Creating and Sustaining the New Normal

This article documents how one Teacher Preparation Program (TPP) at a medium-sized public university in the northeast responded to the needs of their urban partners during the global COVID-19 pandemic. The adaptation of this school-university partnership involved improving relationships where the TPP is more responsive to the needs of this urban school district. This article showcases how two colleagues created pandemic pivots in their graduate courses for in-service teachers. These pedagogical examples, or pandemic pivots, knit together technology and Social Emotional Learning (SEL) and create a more inclusive and more equitable new normal. Moreover, these pandemic pivots leverage programmatic mechanisms to sustain this new normal. The sustainability and success of this partnership makes use of stakeholder feedback loops which are both programmatic and interpersonal. Through institutionalizing these feedback loops, we create programmatic sustainability with the ability to dynamically meet the needs of our partners. The integration of SEL and technology pedagogical practices illustrated here are the result of programmatic structural changes driven by the voice of our partners, showcasing the design of our TPP.
Data Optimization using Apache Flink

Map Reduce, Flink, and Spark, also become more popular in the processing of big data lately. Flink will be an open platform Big Data processing system for Apache-powered batch storage and streaming of data. Flink's query optimizer is constructed for historical information processing (batch) based on parallel storage systems approaches. Flink query query optimizer interprets the questions into jobs of different tasks that are regularly sent. Therefore, taking advantage of task similarities should prevent redundant computation. In this article, the multi-demand optimization model for Flink, Flink was planned and designed on Flink Software Stack's top priority. It's thought-about as an associate in Apache Flink's nursing add-on to maximize multi-demand information sharing. The Flink system takes advantage of option operators ' information sharing resources to reduce overlap and duplication of multi-query in-network information movement. Research findings show that the leveraging of shared option operations in vast information on multiple requests would offer promising time to perform queries. Therefore, in the stream phase, Without doubt the Flink approach can be used to boost application performance over time periods.
ANALYSIS OF THE STABILITY OF LINEAR SYSTEMS

Various criteria of stability of linear autonomous systems are considered. It is stated that the method of A.V. Mikhailov makes it possible to visually establish the stability of equations of a low order. The methods of criterion finityzation proposed by the author make it possible to use it to analyze the stability of equations with delays. An interesting way of finding the hodograph with the entire complex plane. Keywords: criterion of stability, finityzation, hodograph, delay
Fillers Used by English Department’s Students of State University of Medan

Society does not only need to develop linguistic competence but also appropriate communicative competence in communicating foreign languages.Speaking foreign languages is not easy, sometimes people pause during speaking.In fact, many spontaneous speakers of various languages have pauses in speaking that are taken when needed.This phenomenon is commonly called a filler.The objective of this research to evaluate reasons for the use of fillers by English department's students.This research was conducted by descriptive qualitative design as methodology of research.The data are fillers used by English departments's students in the form of the lexical empty (sound), words and phrases.The researcher as the key instrument is voice recorder.The result of this research found All the functions in this research used by English department's students, they were hesitating (16 times), empathizing (11 times), editing term (14 times), mitigating (4 times) and time-creating (5 times).