Reviewerly/exHarmony huggingface dataset:
ANALISIS KESULITAN BELAJAR SISWA PADA MATERI SISTEM EKSKRESI MANUSIA

This research aims to know the student’s learning difficulty on the material of Human Excretion System from cognitive aspects and indicator aspects and factors causing students learning difficulties on the Human Excretion System on class XI IPA SMA Swasta Teladan Medan Academic Year 2017/2018. The population of this research is all students of class XI IPA which amounts to 118 students. The sample was taken by purposive sampling which amounts to 45 students. The instruments used to obtain data were tested student learning outcomes in the material of the Human Excretion System and learning difficulties questionnaire. The results of the research showed that students were categorized as incomplete. The percentage of student learning difficulties in cognitive aspect for C1, C2, C3, C4, C5, and C6 is 40,11% (medium), 37,82% (low), 41,69% (medium), 53,39% (medium), 49,15% (medium), dan 60,45% (high). The percentage of student learning difficulties based on the learning indicators is mentioned the meaning of the excretion system and its organs in the amount of 37,29% (low), identify the structure and function of the kidney in the amount of 35,59% (low), describe the structure of the nephron and explain the process of human urine formation in the amount of 42,91% (medium), identify the structure and function of the liver in the amount of 42,94% (medium), identify the structure and function of the lung in the amount of 47,46% (medium), identify the structure and function of the skin in the amount of 48,31% (medium), and determine abnormalities or diseases in human excretory organs in the amount of 55,37% (medium). Difficulties in the indicators of structure and function of the kidney and the process of formation of urine are categorized as inhibitory. Indicators of the understanding of the excretion system and its organs, the structure and function of the lung, the structure and function of the liver, abnormalities in the human excretory system, and the learning system in the material of the human excretory system are quite inhibiting categories. While indicators of the structure and function of the skin are categorized as not inhibiting.
Liminalitas Pembelajaran Seni Budaya yang Berkelanjutan Dalam Era Digital Native

The development of technology in the digital native era causes the need for adaptation of education, one of which is cultural arts education. It is intended that the art and culture learning process can collaborate and negotiate with native digital technology to improve practical and theoretical skills in the global canon. Therefore, it is necessary to study the limitations of the art and culture learning process in the digital native era. This study also discusses and analyzes the responses of teachers, students, and parents as an ecosystem for the art and culture learning process within the limitations that occur. This research uses a mixed-methods with an interdisciplinary approach to explore educational perspectives, learning methods, technology, which is combined with the liminality conditions of the art and culture learning process in the digital native era. Collecting data using literature and documentation studies, and questionnaires via google form. The spatial boundaries of the research included 10 elementary schools, 10 junior high schools, and 10 high schools in Surabaya, East Java, which were randomly selected. The results showed that (1) the art and culture learning process by utilizing digital native technology has the potential to become sustainable education; (2) provide creative challenges for teachers in delivery, as well as for students in its use; and (3) liminality that occurs in the art and culture learning process occurs in an effort to balance and negotiate between classical and modern learning, practical models and theories, as well as between the orientation of the end result and the orientation of sustainable process outcomes.
Application of a topic model visualisation tool to a second language

We explored adaptions required for applying a topic modelling tool to a language that is very different from the one for which the tool was originally developed. The tool, which enables text analys ...
A Study of Systemic Variation and Frequency of Modified Idioms In Forbes Asia and The Economist

Modified idioms or idioms with variation are figurative language that pose many semantic problems especially to non-native speakers of English.Apparently, a change in idiom form causes the message to be misunderstood by the non-native speakers as they lack familiarity of the modified idioms.Therefore, this case study aims to investigate the type and frequency of systemic variation of modified idioms found in Forbes Asia and The Economist.Glucksberg's (2001) textual analysis framework on modified idioms is applied as part of the qualitative analysis.The results of the study indicate that omitted, modified idioms with noun variation, and modified idioms with verb variation are types of systemic variation of modified idioms that are familiar to users.The findings of this study contributes toward identifying the type and frequency of modified idioms which affect familiarity and comprehension among readers of Forbes Asia and The Economist.Thus, the promotion of variation of modified idioms should focus more on types of variations with none or limited emergence of familiarity.
Hybrid Cryptosystem Analysis by Using The Combination of Vigenere Cipher and RSA for Text Security

The development of Information and Communication Technology (ICT) brought many benefits to the needs of human life, especially the needs for the information which is increasingly obtained easily. This is in line with the need for information security from parties who want to get important data so that it can harm the owner of the source data. One of the data safeguards used is cryptography. Once the importance of data security, almost all activities of human life cannot be separated from cryptography. According to the key used, cryptography can be divided into two, namely: symmetric cryptography and asymmetric cryptography, which has its own advantages and disadvantages. The objective of this research is to analyze through the calculation results so that they can be applied to overcome the weaknesses that occur from the two types of cryptography. The hybrid cryptosystem coding method is always used to overcome the weaknesses of the two cryptographs. The coding process in this research uses two cryptographic algorithms. They are the Vigenere Cipher algorithm as an example of a symmetrical algorithm and the RSA (Rivest Shamir Adleman) algorithm, which is an example of an asymmetric algorithm. The result of the research on the calculation shows that there is increased security in the encryption because there will be two encodings, namely the coding of the messages by the Vigenere Cipher cryptographic algorithm and key coding by the RSA cryptographic algorithm
PENYANDIAN TEXTS CHAT VIA INTERNET DENGAN ALGORITMA VIGENERE CIPHER BERBASIS ANDROID

One feature of a smartphone device that is still often used is the exchange of messages such as text chat. This exchange of information generally knows no distance, can be far or close. This requires security of the confidentiality of information sent from the source to the target. One way to get the security of communication is by applying cryptographic techniques so that the message sent to the target can be secured. The cryptographic technique used in this study is Vigenere Cipher. The Vigenere Cipher algorithm is used to encode text conversations so that messages sent via the internet can be maintained as well as with confidentiality. The purpose of this study is to build a text conversation cryptographic application that can run on Android-based smartphone devices. The technique can encrypt text conversations into secret messages which then the results (messages) are sent using a message sending application such as SMS (Short Message Service), Whatsapp and Line. Then when the message arrives at the destination, the description is done automatically so that the original message can be read.
Nformation As A Factor Of Environmental Management And Nature Conservation

The article analyzes environmental information as a method of environmental management among a set of administrative, economic, socio-psychological and other methods.The research is exemplified with the mountainous territory North Ossetia-Alania (further NO-Alania).We have revealed the conditions under which this method is effective and contributes to improvement of the environment.Environmental information can be used as a method under the following conditions: availability of an informationcommunicative space in the NO-Alania, which meets the modern trends of its development, including the functioning of network segment expanding the flows of environmental information and making it more accessible to the audience; structuring of the information-communicative space, including the servers of state and information agencies, electronic versions of print mass media, environmental e-publications, websites of public organizations, blogs, social networks and other new platforms such as Telegram and YouTube; availability of both mass and special scientific information on environmental issues purposefully presented in the NO-Alania scientific journal "Sustainable development of mountain territories"; a wide range of environmental topics within the scope of scientific journalism, which develop both traditional and network media; feedback on state information resources, media resources and entrepreneurs' projects developed in the NO-Alania in recent years.We come to the conclusion that these conditions allow for the effectiveness of environmental information as a method of environmental management and nature conservation.
Multi-Objective Evolutionary Programming for Developing Recommender Systems based on Collaborative Filtering

In the era of internet, several online platforms offer many items to users.Users could spend a lot of time to find (or not) some items they are interested, sometimes, they will probably not find the desired items.An effective strategy to overcome this problem is a recommender system, one of the most popular applications of machine learning.Recommender systems select most appropriate items to an specific user based on previous information between items and users, and they are developed using diffeent approaches.One of the most successful approach for developing recommender systems is collaborative filtering, which can filter out items that a user might like based on reactions of users with similar profiles.Often, traditional recommender systems only consider precision as evaluation metric of performance, however, others metrics (like recall, diversity, novelty, etc) are also important.Unfortunately, some metrics are conflicting, e.g., precision impacts negatively on other metrics.This paper presents a multi-objective evolutionary programming method for developing a recommender system, which is based on a new collaborative filtering technique, while maximizes the recall for a given precision, The new collaborative filtering technique uses three components for recommending an item to a user: 1) clustering of users; 2) a previous memory-based prediction; and 3) five decimal parameters (threshold average clustering, threshold penalty, threshold incentive, weight attached to average clustering and weight attached to Pearson correlation).The multiobjective evolutionary programming optimizes the clustering of users and the five decimal parameters, while, it searches maximizes both similarity precision and recall objectives.A comparison between the proposed method and a previous nonevolutionary method shows that the proposed method improves precision and recall metric on a benchmark database.
DETERMINATION OF THE INITIAL GUESS FOR THE PROBLEM OF MEMRISTOR MODEL PARAMETERS EXTRACTION USING MACHINE LEARNING ALGORITHMS

The focus of this work is on the algorithm of extraction of parameters of the memristor model from the experimentally obtained current-voltage characteristics. The problem of finding the initial guess for this algorithm based on current-voltage characteristic features is stated and solved by means of machine learning algorithms.
Desain Dempster Shafer dan Fuzzy Expert System dalam Mendeteksi Dini Penyakit Stroke

The increasing population in Indonesia, which is 265 million people in 2018, causes an increase in the community's disease sufferers. Unfortunately, the number of hospitals in the area has not increased even though the population continues to grow, which impacts the community's lack of information and knowledge in dealing with some serious diseases such as stroke that attacks quickly. Stroke is the leading cause of disability and the number two cause of death in the world where 6.2 million people died in 2015 and is a complex medical problem that requires the diagnosis of a neurologist or internist. Still, not all doctors are in the district and provide services with fast. Temporary stroke symptoms are called transient ischemic attacks (TIA), which are warning signs before having a stroke, it requires how to recognize the signs of a stroke early and treat it as a medical emergency. Based on this problem, it is needed an expert system design that can diagnose stroke early and provide information about stroke to the community based on expert sources with an android mobile phone, making it accessible to the broader community, including in the district. The system design uses the Dempster Shafer Method to measure the uncertainty of 20 stroke symptoms. The disease slices outcome will produce a percentage of the likelihood of stroke, hypertension / high blood pressure, fever, and heart disease. As well as Fuzzy Logic as logical logic in processing 9 patient's medical history. The authors combined the two methods in providing a stroke diagnosis based on symptoms and patient history and then evaluated using several metrics, including accuracy, precision, sensitivity (recall), F-measure (F1 score), and specificity so that an expert system score was obtained of 0.786 which shows good expert system performance.
Preserving Temporal Consistency in Videos Through Adaptive SLIC

The application of image processing techniques to individual frames of video often results in temporal inconsistency. Conventional approaches used for preserving the temporal consistency in videos have shortcomings as they are used for only particular jobs. Our work presents a multipurpose video temporal consistency preservation method that utilizes an adaptive simple linear iterative clustering (SLIC) algorithm. First, we locate the inter-frame correspondent pixels through the SIFT Flow and use them to find the respective regions. Then, we apply a multiframe matching statistical method to get the spatially or temporally correspondent frames. Besides, we devise a least-squares energy-based flickering-removing objective function by taking into account the inter-frame temporal consistency and inter-region spatial consistency jointly. The obtained results demonstrate the potential of the proposed method.
FAKTOR-FAKTOR YANG MEMPENGARUHI PERGAULAN BEBAS PADA REMAJA DI SMK SWASTA JAYA KRAMA BERINGIN KECAMATAN BERINGIN KABUPATEN DELI SERDANG

The emergence of promiscuity among young people who are rife lately is inseparable from the influence of the globalization era which is considered a form of modernity for some adolescents, which ultimately brings them closer to promiscuity who are at risk of being infected with various kinds of socially transmitted diseases. which affects promiscuity in adolescents in the Jaya Krama Beringin Private Vocational School Sidodadi Village, Beringin District, Deli Serdang Regency. The research method used was analytic survey, with cross sectional approach. The sampling technique used was purposive sampling. Samples are taken based on specified criteria. Data analysis was performed bivariately with chi-square test with a value of α (0.05). The results showed that social factors and technological factors / mass media are factors that influence the incidence of free association in adolescents in the Jaya Krama Beringin Private Vocational School with each value of p = 0.02 &lt;α = 0.05 and p value = 0.002 &lt; α = 0.05. The importance of improving education, coaching and monitoring students in the use of technology to students so as to avoid promiscuity.
Integrating essential soft skills in teaching English to law students

International scientific and practical conference «Current trends and factors of the development of pedagogical and psychological sciences in Ukraine and EU countries» : conference proceedings, September 25–26, 2020. Lublin : Izdevnieciba «Baltija Publishing», 2020. 516 pages.
HAND GESTURE CONTROLLED ROBOT

Gesture Controlled Car is a robot which can be controlled by simple human gestures.The user just needs to wear a gesture device in which a sensor is included.The sensor will record the movement of hand in a specific direction which will result in the motion of the robot in the respective directions.The robot and the Gesture instrument are connected wirelessly through radio waves.User can interact with the robot in a more friendly way due to the wireless communication.We can control the car using accelerometer sensors connected to a hand glove.The sensors are intended to replace the remote control that is generally used to run the car.It will allow user to control the forward, backward, leftward and rightward movements, while using the same accelerometer sensor to control the throttle of the car.Movement of car is controlled by the differential mechanism.The mechanism involves the rotation of both forth & rear wheels of left or right side to move in the anticlockwise direction and the other pair to rotate in the clockwise direction which makes the car to rotate about its own axis without any kind of forward or backward motion.The main advantage of this mechanism is the car with this mechanism can take sharp turn without any difficulty.The design and implementation of a gesture control robotic arm using flex sensor is proposed.The robotic arm is designed in such a way that it consists of four movable fingers, each with three linkages, an opposing thumb, a rotating wrist and an elbow.The robotic arm is made to imitate the human hand movements using a hand glove.
ORGANIZATION OF ADDITIONAL BIOLOGICAL EDUCATION IN SUMMER HEALTH CAMPS

Statement of the problem. The article analyzes the problem of organizing the activities of schoolchildren in the field of additional biological education. The purpose of the article is to prepare and justify the methodological features of the organization of additional biological education in summer health camps. The research methodology consists of normative legal documents in the field of additional education, analysis and synthesis of research works by Russian scientists, advanced and mass experience of biology teachers. Research results. The types and kinds of summer health camps and the duration of children’s stay in them are defined. The structure and direction of activities in the health camp are analyzed and synthesized. The specificity of the content of teachers’ work in the field of ecological and biological orientation of educational camp programs is revealed. Examples of recommended ways to organize specialized health camps of ecological and biological orientation are given. Conclusion. Health camp of ecological and biological orientation contributes to the formation of a socially significant, patriotic position of students, allows them to acquire new knowledge about plants and animals, practical skills of research and project activities, which ultimately implements their creative abilities and develops individual personality qualities.
Pengembangan Bahan Ajar Interaktif Berbasis Website Pada Topik Larutan Elektrolit dan Non Elektrolit

This study aims to know the feasibility of an interactive learning material based on a website that innovated based on BSNP. The research method used Research and Development (R&amp;D) with the ADDIE models which consist of five stages are analysis, design, development, implementation, and evaluation. Data collected technique used for feasibility was a questionnaire of BSNP was given to experts lecture. The analysis results of this research are the interactive learning material based on the website was feasible that used questionnaire of BSNP showed a score of the truth, breadth, and depth of concept aspects was 4.66, material and question device aspects was 4.56, language structure aspects was 5.0, display of media aspects was 4.83, software engineering aspects was 4.33, usefulness aspects was 4.66. The average score overall validation of interactive learning material based on the website on the electrolyte and nonelectrolyte solution topic was 4.67. The average score overall validation of interactive learning material based on the website on the electrolyte and nonelectrolyte solution topic shows that this media is very eligible and can be used in the learning process.
Large seismic events (M &gt; 0) in the Lappberget orebody, Garpenberg, Sweden: blast or non-blast-related?

The definition of large magnitude events for mining-induced seismicity highly depends on the general pattern of seismicity in the underground mine.The seismic system in the underground Garpenberg Mine, located in Sweden, was installed in June 2012.In total, 40,000 events were recorded by the end of 2018 with the largest event of magnitude M 2.3.The large seismic events in Garpenberg Mine are defined as the events with M > 0 and very large events with M > 1.This study is based on data from the Lappberget orebody from 2012 to the end of 2018.A seismically active zone was defined in the Lappberget orebody on the northeast side with approximately 90% of the seismicity.The larger magnitude events occurred mostly in this zone too.The large events occurred at depth above 1,000 m, and the so-called very large seismic events, above 750 m.The events in the upper levels, above 700 m, are characterised by comparatively lower apparent stress than the events below.It was found that 24 % of the large seismic events were triggered by production blasts within 24 hours and 150 m.Most of the blast-related large events occurred within two hours after blasting.Only a few large seismic events had intense aftershocks.The aftershock series lasts for around 10 hours and are within 150 m of the main shock.In case of more a complicated situation with blast relation and multiple large events, the aftershock series lasts more than 60 hours.Based on the observations made here, some simple rules were defined for closing mine areas after large seismic events (so-called re-entry protocol for large seismic events).The reasonable restriction after the large seismic event would be three hours with a 150 m radius from the hypocentre of the large seismic event.The duration might be extended depending on the pattern of the aftershock sequence, especially for the large seismic events that occurred after blasting.In this case, the procedure of re-entry protocol for post-blast sequences must be followed.The obtained information about the relation between the large events and blasting can be used also for the re-entry protocol after blasting.