Reviewerly/exHarmony huggingface dataset:
UPAYA MENINGKATKAN AKTIVITAS SISWA DENGAN PENDEKATAN EXAMPLES NON EXAMPLES PADA PENDIDIKAN DASAR

The background of the research is the low value of learning Indonesian in class V SDN 03 Alai Padang. This study aims to increase the activity and discussion of Indonesian language learning students using the Examples Non Examples approach. The measuring instrument in this research activity uses test and non-test instruments. Tests are in the form of quantitative and non-tests are in the form of qualitative. The results of the data analysis obtained by students' activities in discussing increased the average percentage for the first cycle category and for the second cycle category, namely (83.10%) the good category became a better category. good, namely (85.07%). Activity on teachers increased the average percentage from good category from cycle I to cycle II increased from (80.35) very good category to (91.06%). Student learning outcomes in two cycles, namely the first cycle of students who finished studying (85.71%) in very good category and students who had not finished learning (14.28%). While in the second cycle, students who finished studying (96.42%) were in very good category and students who had not finished studying (3.571%), with an average score. So student learning outcomes have reached the indicators of success in the implementation of learning achieved 80%. Based on the results of the study, it can be concluded that there is an increase in learning through student discussion activities and student learning outcomes at the research site in class V SDN 03 Alai Padang with the Examples Non Examples approach.Keywords: Examples Non Examples, Learning Activities, Discussion, Indonesian Language.
DESKRIPSI KEMAMPUAN KOMU3NIKASI MATEMATIS PESERTA DIDIK PADA PENERAPAN MODEL PEMBELAJARAN QUANTUM TEACHING KELAS VIII SMPN 34 PADANG

This research aims to describe the mathematical communication skills of student who apply the Quantum Teaching model and describe learning activities while the Quantum Teaching model is applied in class VIII SMPN 34 Padang. This type pf research Pre-Experiment with One Shot Case Study design. The subject of this study were students of class VIII SMPN 34 Padang in the academic year 2021/2022 with class VIII.2 as the subject class. The research instrument is a test of mathematical communication skills in the form of essay questions which are analyzed by finding the average class value of the subject then qualified. Based on data analysis, it was found that the average result of the mathematical communication ability test of the students in the subject class was 64,44. After the average is qualified, the mathematical communication skilss of students who learn by applying the Quantum Teaching model are in the good category.Keywords—Mathematical Communication Skills, Pre-Experiment, Quantum Teaching
Improving Language Feature Understanding of Story on Video Through Developing Moodle-Based E-Learning

In this pandemic situation, English learning mostly has been done online. Hence it’s tutor job to be creative. Moodle based e learning hoped give solution.This study has purpose to: (1) produce an appropriate Moodle-based English e-learning product in improving language features of story understanding at Jovelin Course (2) find out how effective Moodle-based e-learning is on language features of story understanding at Jovelin Course. This research uses Research Development. Data collection instruments are interviews, questionnaires, and tests. The following is the study's findings. (1) An online Learning Management System (LMS) based on the Moodle application software version 3.1 was used to produce the e-learning offering. (2) Based on media expert validation with a score of 3.68 with "good" criteria, material expert validation with an average score of 4.29 with "very good" criteria, and user responses with a score of 4.28 with "very good" criteria, Moodle-based e-learning products were declared eligible as learning media. (3) The use of e-learning improved the learning results of Intermediate Level Jovelin Course Brebes students. The rise in learning outcomes, as measured by the percentage of pretest and postest, demonstrates the efficiency of the product for learning English in the capacity of recognizing linguistic aspects of tale on video. Keywords: e-learning, Moodle Based, language features of English.
Design of monitoring data visualization system of water resources based on J2EE architecture

In order to solve the problems of slow update speed and low definition of visualization results existing in traditional data visualization system, this research realizes the optimization design of visualization system from three aspects of hardware, database and software respectively under J2EE architecture.The wireless communication network and terminal acquisition device of the system are optimized respectively.On this basis, the database is built according to the type of water resources monitoring data, and the relevant data is imported into the database environment to provide data support for the operation of the software.Then, the 3D scene is constructed, and the location information of water resources monitoring points is imported into the created environment, and the real-time monitoring data is collected by hardware devices.By drawing visual images and generating image controls, the visualization of water resources monitoring data can be realized.The experiment shows that: compared with the traditional visualization system, the visualization update time of this system is reduced by about 0.69s, and the definition of the visualization results is effectively improved.
Opportunities for 3D printing in Hybrid Education

Abstract In this paper, we present 3D printing examples that we developed and unitized for hybrid teaching during the global pandemic. We highlight the benefits of 3D printing in classrooms and opportunities for developing different knowledge and skills, starting from mathematical and technological knowledge to communication and collaboration skills. During our activities, we used GeoGebra for 3D printing preparations, it was also utilized for online students’ activities, while supporting theoretical background students gained in real classrooms. Since 3D printing technology in the classroom is at its beginnings, the presented observations are highlighting teaching new kinds of strategies supported by 3D printing.
Cs-YOWO: Human Behavior Detection Model Based on Attention Mechanism

Human behavior detection plays an important role in traffic supervision, medical supervision and social security jurisdiction application requirements. The Cs-YOWO model is the new model put forward in this report, which is improved base on the original video behavior detection model YOWO. By adding Selective Kernel Network and Convolutional block attention module, this model solves the problem of insufficient image feature extraction by convolutional neural network in the original model, and imperfect fusion of spatial information and temporal information in the feature fusion part. On the UCF101-24 and JHMDB datasets test, the average accuracy of the frame level and video level was improved by 1.1% compared with the original model. Meanwhile, on the UCF101-24 dataset, the classification accuracy index was improved 1.9%. The experimental results show that the improved method can fully extract video information and enhance the model detection performance.
Exploring the Effect of Vehicle Appearance and Motion for Natural Language-Based Vehicle Retrieval

Vehicle searching from videos by textual descriptions is one of the most important tasks in traffic management towards smart cities. This paper proposes a method for retrieval of vehicles using a natural language-based query. Our method consists of two main components of textual extractor based on Bi-LSTM and visual extractor using ResNet-50 model. Both components extract hidden features from different modalities and then match them in a common space. This end-to-end process tries to build a textual-visual alignment model that will be utilized for the search phase. Our particularities in this framework are two-fold. In the video stream, we evaluate in detail the role of vehicle appearance compared to its motion. In the textual stream, we apply back-translation systems to enrich the textual dataset for the training phase. Experiments are conducted on AI City Challenging, showing the efficiency of each contribution in the overall framework. It confirms that not only appearance but additional motion cues are promising for vehicle retrieval, which provides the results of MRR, Rank@5 and Rank@10 are 0.2333, 0.3587 and 0.4837, respectively.
A Picture is Worth a Thousand Words: Using Cross-Modal Transformers and Variational AutoEncoders to Generate Images from Text

Text-to-image generation is one of the most complex problems in deep learning, where the application of Recurrent Neural Networks (RNNs) and Generative Adversarial Networks (GANs) has seen significant success. However, GANs prioritize the sharpness of the image rather than covering all the nuances of the text. Given that Transformers have recently outperformed RNNs and other neural network models in both the text and image spaces, we explored whether Transformer models can perform better in multi-modal tasks such as text-to-image synthesis. Our conclusion based on evaluating five Transformer based models on the MS-COCO dataset showed that Transformers perform better but would need a significant amount of memory and compute resources.
PEMBELAJARAN MATEMATIKA MENGGUNAKAN MEDIA KOMIK KELAS VIII

AbstractLaw of the Republic of Indonesia Number 20 of 2003 concerning the National EducationSystem article 40 paragraph 2a states that: "Educators and education personnel areobliged to create an educational atmosphere that is meaningful, fun, creative, dynamic,and dialogical." Therefore, learning is expected to require the use of more varied deliverymedia so that the teaching and learning process creates a fun and dynamic educationalatmosphere and can be understood better. This makes teachers need to use appropriatelearning media. The media that is meant is comics media in learning mathematics withtwo-variable linear equation systems for class VIII students of SMPN 3 Sungai Ambawang.The conclusions obtained from this study are: (1) Based on the aspect of validity by onevalidator consisting of media and material experts, the assessment of material experts is3.69 and media experts is 3.84. So it can be stated that the teaching materials developedare categorized as "valid". (2) Based on the practical aspect, the average teacher responseis 3.95 and the average student response is 3.21. So that the average score of teachingmaterials is 3.58 in the "good" category. (3) Based on the aspect of effectiveness, theaverage post-test was 70.4 and the percentage of students who met the KKM was 73.91%of 23 students in the "good" category.Keywords: Comic, Development Research
GENDER DIFFERENCES IN SPEAKING ANXIETY

Speaking anxiety becomes a substantial matter in foreign language learning. Many studies have been discussed foreign language anxiety. Nevertheless, slight research has been undertaken on senior high school level. This research investigated Foreign Language Speaking Anxiety (FLSA) associated with male and female difference in senior high school level. This study aims to investigate whether male and female have the significant difference on students’ speaking anxiety level or not. Differential research method was used. From 77 grade IX students of SMA Terpadu Darussalam Tasikmalaya, 43 students were participated in this study. Probability sampling was used as the technique for selecting sample. A close-ended questionnaire adopted from Horwitz et.al (1986) was administrated to the participants to examine their Foreign Language Speaking Anxiety. The questionnaire has been passed validity test to determine whether it has positive consequences when they are used in practice. The result indicated that there is no statistically difference between male and female students. Although there was no statistically difference, the finding represents that females demonstrated a higher anxiety than males. Regarding to the result, it might be a light to help teacher choosing a great treatment for students’ anxiety during English language learning.
Pengembangan Media Pembelajaran Matematika Kelas XI Berbasis Android

This study aims to develop an android-based learning class XI mathematics learning media to support the mathematics learning process both online and face-to-face. This research type was Research and Development (R&amp;D). The steps of the development procedure including: the design stage, the production stage, and the evaluation stage. The subjects in this study were validated in the early stages by experts (design experts, media experts, and subject matter expert). Then proceed with individual-scale product trials, small group-scale trials and field trials. Data collection techniques in this study used a questionnaire. Questionnaires are used to obtain information and data to measure the feasibility of the resulting product. Based on the assessments made by experts, the average percentages were: design experts (79.17), media experts (80.09), subject matter experts (82.09). So, from the overall average value, it can be concluded that on the validation the experts get the eligibility criteria ”Good”. Based on the results of field trials, the percentages obtained are: individual scale (82.33) small scale (82.44), large scale (82.91). So, it can be concluded that the overall average value of the percentage of field trials on the respondents obtained the eligibility criteria of ”Very Good”. In other words, the media developed in this study was considered feasible and very good for use in learning mathematics.
Tutorials

The ICWSM 2012 conference tutorials will be How to Analyze Massive Social Network Datasets without a Cluster, presented by Derek Ruths; Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL, presented by Marc Smith; Evidenced-Based Social Design of Online Communities: Getting to Critical Mass and Encouraging Contributions, presented by Paul Resnick and Robert Kraut; Sentiment Mining from User Generated Content, presented by Lyle Ungar and Ronen Feldman; and Information Extraction for Social Media Anaylsis, presented by Denilson Barbosa.
Evaluación Formativa en el aula virtual, ¿una solución a la pandemia?: revisión sistemática de literatura

Due to the COVID-19 pandemic, educational institutions closed and had to reorient the work of teachers to continue their work. This situation motivated research that invites teachers to update themselves through various sources of information that are available to them. An important and central aspect of the educational process is formative evaluation, but in its virtual modality that was born as a possible solution to the global health problem. This article was a systematic review of shared in three aspects: education in a virtual classroom, teaching performance and tools used in formative evaluation, whose objective was to analyze the evidence found about formative evaluation in a classroom. virtual. We worked under the guidelines of PRISMA. The results describe the findings of studies from 2019 to 2021 in various journals, these indicated that virtual tools in the educational field improve student learning, as long as the teacher has the digital competence to generate learning spaces in environments virtual and with a pertinent and adequate evaluation to the learning experience.
MARKETING ONLINE TERHADAP MAHASISWA BARU UNTUK MEMILIH PERGURUAN TINGGI (STUDI KASUS UNIVERSITAS HARAPAN MEDAN)

This study aims to determine the effect of trust, convenience, quality of information and price on students' decisions to enter the University of Harapan Medan. This study uses an associative research type with a quantitative approach. The population in this study were students of Harapan University, Medan. Sources of data using primary data obtained by using a questionnaire. Data were analyzed using Multiple Linear Regression analysis technique. The results show that trust has a significant effect on college admission decisions. The magnitude of the contribution of trust in influencing college admission decisions is 0.663. This means that trust is very important because it can increase college admission decisions by 66.30%. Ease has a significant effect on college admission decisions. The magnitude of the contribution of convenience in influencing college admission decisions is 0.845. This means that convenience is very important because it can increase college admission decisions by 84.50%. The quality of information has a significant effect on college admission decisions. The magnitude of the contribution of information quality in influencing college admission decisions is 0.412. This means that the quality of information is very important because it can increase college admission decisions by 41.20%. Price has a significant effect on college admission decisions. The amount of price contribution in influencing college admission decisions is 0.517. This means that the price is very important because it can increase the decision to enter higher education by 51.70%.
APPLICATION OF BLENDED LEARNING MODEL TO IMPROVE MOTIVATION AND ACHIEVEMENT IN LEARNING MATHEMATICS

This classroom action research aimed to (1) find out whether the application of the blended learning learning model could increase learning motivation, (2) find out how much the increasein mathematics learning achievement with the application of the blended learning learningmodel, and (3) find out students' opinions on the application of the blended learning model.learning. This research was conducted at SMP Negeri 2 Selemadeg Timur which involved 18 students of class IX B in the second semester of the academic year 2021/2022. This research was conducted in three cycles. Data on students' learning motivation was collected using aquestionnaire and student achievement was collected by means of a learning achievement test in the form of a description, while students' opinions on the applied learning were collected using a questionnaire Further more, the data that has been collected was analysed using descriptive methods. The results showed that (1) there was an increase in student motivation at SMP Negeri 2 Selemadeg Timur after the application of the blended learning model in cycles I, II, and III, (2)an increase in the average achievement in cycle II increased by 3.61 and in the third cycle in creased by 3.28. Absorption capacity increased by 3.61% from cycle I to cycle II and 3.28%from cycle II to cycle III. While the classical learning completeness increased by 5.56% in the second cycle and by 11.11% in the third cycle, and (3) students' opinions on the applied learning were very positive.
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques

This paper presents, in a unified fashion, deterministic as well as statistical Lagrangian-verification techniques. They formally quantify the behavioral robustness of any time-continuous process, formulated as a continuous-depth model. To this end, we review LRT-NG, SLR, and GoTube, algorithms for constructing a tight reachtube, that is, an over-approximation of the set of states reachable within a given time-horizon, and provide guarantees for the reachtube bounds. We compare the usage of the variational equations, associated to the system equations, the mean value theorem, and the Lipschitz constants, in achieving deterministic and statistical guarantees. In LRT-NG, the Lipschitz constant is used as a bloating factor of the initial perturbation, to compute the radius of an ellipsoid in an optimal metric, which over-approximates the set of reachable states. In SLR and GoTube, we get statistical guarantees, by using the Lipschitz constants to compute local balls around samples. These are needed to calculate the probability of having found an upper bound, of the true maximum perturbation at every timestep. Our experiments demonstrate the superior performance of Lagrangian techniques, when compared to LRT, Flow*, and CAPD, and illustrate their use in the robustness analysis of various continuous-depth models.
Microscopic Evaluation of the Security Printing Techniques Applied on Historical Banknotes — Case Study: Serbian Dinar Banknotes from 1905 to 1996

This paper presents a part of interdisciplinary research of banknotes issued by the National Bank from the year 1905 to 1996.A complex history of the Serbian state and monetary transformations of the National Bank during the 20 th century involved manufacturing banknotes in different printing factories in Europe and the United States of America, which considered different techniques of printing and the application of different security features.Therefore, this research aims to demonstrate and evaluate the applicability of the optical microscope to identify the printing technique used for manufacturing, as well as differences in the printing process and the application of security features in the historical banknotes of Serbian dinar currency from different periods.For each analyzed specimen, several different features of the banknotes (watermark, serial number and security printing techniques on 6 to 10 points) were considered.Differences were revealed in the security printing technique processes through seven states and monetary transformations with special emphasis on the differences observed within the period from 1920 to 1944.These observations have raised some authenticity questions and provided common ground for numismatic researchers and scientists to get interested in developing an analytical protocol for evaluating the security printing process applied on historical banknotes.The methodological complexity of this research raises the need for the development of a compiled database of archive data on the issuance, manufacturing, graphic design, and security printing techniques used to produce banknotes.Therefore, the obtained results can be used to draw comparisons between periods of the establishment of monetary unions in Eastern and Central Europe, especially in the Republic of Serbia, and to protect the monetary cultural heritage from counterfeiting.
Workshops

THe 2012 ICWSM conference will hold two workshops: Social Media Visualization, and Real-Time Analysis and Mining of Social Streams.
Membership Inference Attacks on Machine Learning Model

Machine learning(ML) models today are vulnerable to several types of attacks. In this work, we will study a category of attack known as membership inference attack and show how ML models are susceptible to leaking secure information under such attacks. Given a data record and a black box access to a ML model, we present a framework to deduce whether the data record was part of the model’s training dataset or not. We achieve this objective by creating an attack ML model which learns to differentiate the target model’s predictions on its training data from target model’s predictions on data not part of its training data. In other words, we solve this membership inference problem by converting it into a binary classification problem. We also study mitigation strategies to defend the ML models against the attacks discussed in this work. In this paper evaluation method on real world datasets: (1) CIFAR-10 and (2) UCI Adult (Census Income) using classification as the task performed by the target ML models built on these datasets.
The Future of Ontology and Terminologies

Where should effort be placed to best advance the field of Ontology and Terminology?