Reviewerly/exHarmony huggingface dataset:
Penggunaan Media Flash Card untuk Meningkatkan Motivasi dan Hasil Belajar IPS

The success of learning can be measured from the learning outcomes obtained by students. High learning outcomes can be seen from the achievement of minimum criteria competencies that are exceeded by students. Students tend not to have the motivation to learn with a monotonous learning design. Innovative learning design will be able to increase student motivation and learning outcomes This research was aimed to know that using of audio visual media could increase motivation and learning outcome of social studies in elementary school. Method which used in this research was PTK it was consist of three cycles, each cycles has planning, implementation, observation and reflection. Result of this research showed that there was an increasing on: (1) student’s motivation to learn, which 60,25% on 1st cycle, 75,19% on 2nd , and 91 % on 3rd cycle; (2) student’s learning outcomes in cognitive aspect increased from average value 71,53 on 1st cycle, 73,71 on 2nd cycle, 80,66 on 3rd cycle, in affective aspect was 66,25% on 1st cycle,75,19% on 2nd cycle, 92% on 3rd cycle, in psychomotor aspect increased from average value 71,08 % on 1st cycle, 75,18 % on 2nd cycle, and 80,59 on 3rd cycle. Implication, based on research was flash card media could increase learning motivation and the increasing of learning motivation could increase learning outcome.
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top

Byzantine-robustness has been gaining a lot of attention due to the growth of the interest in collaborative and federated learning. However, many fruitful directions, such as the usage of variance reduction for achieving robustness and communication compression for reducing communication costs, remain weakly explored in the field. This work addresses this gap and proposes Byz-VR-MARINA - a new Byzantine-tolerant method with variance reduction and compression. A key message of our paper is that variance reduction is key to fighting Byzantine workers more effectively. At the same time, communication compression is a bonus that makes the process more communication efficient. We derive theoretical convergence guarantees for Byz-VR-MARINA outperforming previous state-of-the-art for general non-convex and Polyak-Lojasiewicz loss functions. Unlike the concurrent Byzantine-robust methods with variance reduction and/or compression, our complexity results are tight and do not rely on restrictive assumptions such as boundedness of the gradients or limited compression. Moreover, we provide the first analysis of a Byzantine-tolerant method supporting non-uniform sampling of stochastic gradients. Numerical experiments corroborate our theoretical findings.
Blockchain in fifth-generation network and beyond: a survey

Fifth-generation (5G) technologies enable a wide range of vertical applications by connecting heterogeneous equipment and machines, resulting in significantly improved service quality, increased network capacity, and improved system performance. As a result, the world is shifting to 5G wireless networks. Because 5G has the advantage of supporting various vertical applications, 5G systems must still overcome challenges such as transparency, data interoperability probabilities, decentralization, and network privacy. In this paper, we'll show how blockchain can be used to solve problems in 5G, as well as some of the idea’s researchers, have come up with to solve them, like resource sharing, security, and mobility.
New theoretical insights in the decomposition and time-frequency representation of nonstationary signals: the IMFogram algorithm

The analysis of the time-frequency content of a signal is a classical problem in signal processing, with a broad number of applications in real life. Many different approaches have been developed over the decades, which provide alternative time-frequency representations of a signal each with its advantages and limitations. In this work, following the success of nonlinear methods for the decomposition of signals into intrinsic mode functions (IMFs), we first provide more theoretical insights into the so-called Iterative Filtering decomposition algorithm, proving an energy conservation result for the derived decompositions. Furthermore, we present a new time-frequency representation method based on the IMF decomposition of a signal, which is called IMFogram. We prove theoretical results regarding this method, including its convergence to the spectrogram representation for a certain class of signals, and we present a few examples of applications, comparing results with some of the most well know approaches available in the literature.
Comparative Analysis of Data Mining Classification Algorithm Performance for Searching Prospective Student Interests

Admission of new students is an activity that’s always carried out by every university in the new academic year. The decline in the number of registrants every year is an obstacle for AMIK HASS in new student admissions, efforts are needed to process the existing data on new student admissions. Data mining applications use classification algorithms that aim to make predictions. The algorithms used are Nave Bayes (NB), Decision Tree J48 (J48), K-Nearest Neighbor (K-NN), Random Forest (RF), and Support Vector Machine (SVM). Algorithm testing to analyze the performance of each algorithm uses WEKA. The data set used in this study is the search for potential and interest of prospective new students as many as 5,934 records. The tests carried out on the five algorithms use the test percentage split mode, which is 70% for training data and 30% for test data. The highest accuracy rate on J48 is 90.34% followed by RF at 89.04%, SVM at 88.43%, K-NN at 87.53%, NB at 87.25%. J48 is the best algorithm for testing data sets with the lowest prediction error rate of 0.26. The J48 classification algorithm has explicit rules for the classification and handling of heterogeneous data by having 255 rules.
Sistem Pendukung Keputusan Penentuan Wali Kelas Berdasarkan Prestasi Guru Dengan Metode Analytical Hierarchy Process (AHP) Berbasis Web

Decision Support System (DSS) is a procedure-based model for processing data and assisting management in making decisions. Decision Support System (DSS) is a problem solving program and provides a solution to a decision in both structured and unstructured situations. Currently in the homeroom at SMA Ferdy Ferry Putra Jambi, it is still done subjectively by the principal. The assessment carried out by the principal is only based on the internal closeness factor between the teacher and the principal. Some possibilities for homeroom teachers are also based on age and years of service at school, causing injustice among teachers. The purpose of this study is to assist the school in determining homeroom teachers based on the achievements and services of teachers in educating students. The research method used is the Analytical Hierarchy Process (AHP) method. Research in making this application is carried out using the waterfall model with 6 stages, namely needs analysis, design or design, coding, testing, implementation, and maintenance. Making this application program was developed with the PHP programming language and the database used is MySQL. With this system, it can help the school in determining the ranking of teachers based on the value of services that will be selected as homeroom teachers
A modular architecture for creating multimodal agents

The paper describes a flexible and modular platform to create multimodal interactive agents. The platform operates through an event-bus on which signals and interpretations are posted in a sequence in time. Different sensors and interpretation components can be integrated by defining their input and output as topics, which results in a logical workflow for further interpretations. We explain a broad range of components that have been developed so far and integrated into a range of interactive agents. We also explain how the actual interaction is recorded as multimodal data as well as in a so-called episodic Knowledge Graph. By analysing the recorded interaction, we can analyse and compare different agents and agent components.
Implementation of animation digital literacy culture-based English teaching and the use of virtual learning environment (VLE) at SMAN 1 Blahbatuh

SMAN 1 Blahbatuh is one of public schools in Bali that has complete and adequate facilities to support teaching and learning activities. The school also has experienced and supportive teachers who are experts on their field. However, during observation found that some teachers do not familiar with state-of-the-art technology for teaching and learning activities. That case leads to ineffective online lesson where the teachers are expected to use various technology in order to support the lessons. This is a challenge faced by SMAN 1 Blahbatuh in implementing online learning on this pandemic situation. To overcome this problem, training related to the implementing “Animation” Digital Literacy culture-based as an online learning media had been carried out. This training implements “Animation” Digital Literacy through Culture-Based English Teaching. In addition, a training on the use of Virtual Learning Environment (VLE) in online teaching was also carried out, to further maximize the use of online media in the lessons. The training was held for two days involving 11 teachers to take part into it. In this training, they were given a workshop to create 'animated' media that aims to attract students' interest in learning and improve their literacy.
Business Innovation and Organizational Sustainability: A Cross Sectional Study of Entrepreneurial Business in Uyo Metropolis

This research was designed to examine the relationship between business innovation on organizational sustainability in Nigeria. Survey research design was adopted for the study and a sample size of 196 entrepreneurs was drawn for the study. For the objective of the study to be achieved, three hypotheses were formulated. The major instrument for data collection was a structured questionnaire administered to the respondent using purposive sampling techniques. Data collected were analysed using simple percentage and Pearson Product Moment Correlation. Results show that there is a significant correlation between variables of business innovation such as product innovation, process innovation and marketing innovation and organizational sustainability variables of environmental, social and economic sustainability among entrepreneurs in Akwa Ibom State. Consequently, it is recommended first to business consultant, data on the use of innovations by final consumers is of value to business managers and policy makers. Secondly, to the government, technological developments such as the Internet, 3-D printing and crowdfunding platforms can potentially support the innovation activities of individuals, although technical and commercial success is likely to result in a transition from the Household to the Business sector.
Light Field Raindrop Removal via 4D Re-sampling

The Light Field Raindrop Removal (LFRR) aims to restore the background areas obscured by raindrops in the Light Field (LF). Compared with single image, the LF provides more abundant information by regularly and densely sampling the scene. Since raindrops have larger disparities than the background in the LF, the majority of texture details occluded by raindrops are visible in other views. In this paper, we propose a novel LFRR network by directly utilizing the complementary pixel information of raindrop-free areas in the input raindrop LF, which consists of the re-sampling module and the refinement module. Specifically, the re-sampling module generates a new LF which is less polluted by raindrops through re-sampling position predictions and the proposed 4D interpolation. The refinement module improves the restoration of the completely occluded background areas and corrects the pixel error caused by 4D interpolation. Furthermore, we carefully build the first real scene LFRR dataset for model training and validation. Experiments demonstrate that the proposed method can effectively remove raindrops and achieves state-of-the-art performance in both background restoration and view consistency maintenance.
Internet of Things (IoT) Cybersecurity Challenges and Mitigation Mechanisms

This study deployed desktop research methodology in seeking to understand the cybersecurity challenges confronting Internet of Things (IoT) and the mitigation mechanisms. Objects are no longer independent from each other; rather, connectivity through the power of the internet has connected them. IoT is no longer a new invention or innovation in the technology industry and human lives. The concept is widely used in different industries such as healthcare, food, finance, manufacturing, government, insurance, oil and gas, transportation, postal services, defence, and many more. These industries are using the ability of IoT to function optimally in facilitating different activities. Users of technology devices use IoT devices in homes, offices, and other places to increase productivity and efficiency daily. This article analyses the cybersecurity challenges of IoT and its mitigation mechanisms. The findings identified different cybersecurity challenges confronting IoT and the ways to mitigate them.
Rancang Bangun Pompa Hidram Untuk Kebutuhan Air Pada Daratan Tinggi Dengan Memanfaatkan Arus Aliran Air Sungai

In rural areas, water supply is needed for agricultural, livestock, and fishery activities. In this problem a pump with the right technology, efficiency, and economy is needed so that its management does not depend on fuel and electricity. As a solution to this problem is the use of a hydraulic ram pump. Hydram pumps are an alternative in distributing water from low places to high places. This study aims to design a hydraulic ram pump at Cemping Ground. In this study, the main system is a hydraulic ram pump (hdyram pump) which can drain water from a low place to a high place without using electricity. The flow capacity produced by this pump at a height of 5 meters is 0,000057 (m3/s) or 0,057 (liter/s), the flow rate produced by this tool is 0,00072 (m/s), the efficiency of the hydraulic ram pump produced is 75,83 %, it takes 58,26 minutes per day to meet the 200 L water requirement, for the stress that occurs in the pipe is 0,0554 N/mm2 and for the strain that occurs in the pipe is 0,0000185.Keywords: Alternative, Tool, Design, Pump, Hydraulic
Bayesian prediction via nonparametric transformation models

This article tackles the old problem of prediction via a nonparametric transformation model (NTM) in a new Bayesian way. Estimation of NTMs is known challenging due to model unidentifiability though appealing because of its robust prediction capability in survival analysis. Inspired by the uniqueness of the posterior predictive distribution, we achieve efficient prediction via the NTM aforementioned under the Bayesian paradigm. Our strategy is to assign weakly informative priors to nonparametric components rather than identify the model by adding complicated constraints in the existing literature. The Bayesian success pays tribute to i) a subtle cast of NTMs by an exponential transformation for the purpose of compressing spaces of infinite-dimensional parameters to positive quadrants considering non-negativity of the failure time; ii) a newly constructed weakly informative quantile-knots I-splines prior for the recast transformation function together with the Dirichlet process mixture model assigned to the error distribution. In addition, we provide a convenient and precise estimator for the identified parameter component subject to the general unit-norm restriction through posterior modification, enabling effective relative risks. Simulations and applications on real datasets reveal that our method is robust and outperforms the competing methods. An R package BuLTM is available to predict survival curves, estimate relative risks, and facilitate posterior checking.
Developing a Reliable Service System for Charity Donation

Abstract: Zeroing in on the covering spaces of the co-ordinations business with countless mature blockchain applications and the public government assistance industry that requires high straightforwardness and believability, this paper plans and carries out an inventive charity co-ordinations stage dependent on blockchain innovation through the ethereal stage. Our foundation utilizes the open, straightforward, and unavoidable elements of the blockchain, joined with a one of a kind Responsibility Relay System and Evaluation and Reporting Mechanism, and can accomplish the consistency of the information on the chain with true status, just as the credibility and straightforwardness of magnanimity co-ordinations information. This paper likewise sets up a model for assessing magnanimity material gifts for social government assistance dependent on the exemplary organization's most extreme stream calculation. Following four months of observational investigation, we have inferred that the blockchain stage can enormously expand the client’s confidence in the venture, upgrade the framework’s neatness coefficient and increment the nature of generously raised materials, consequently working on the public government assistance of beneficent gifts. The paper reaches the inference that this blockchain stage is a specialized answer for augmenting social government assistance. Keywords: Data Security, Smart Contract, Charity Application, Algorithm AES, Blockchain technology.
Pengelolaan Aplikasi Layanan Administrasi pada Kelurahan Argasunya

Argasunya Village is a combined area of several Rukun Warga (RW). Government at the village and sub-district levels is an element of government that is directly related to the community. Kelurahan is also an administrative division under the subdistrict. The village office has not used the system in making a Business Certificate. Therefore, the author tries to make a service application for making a business certificate based on a web application with the hope of simplifying the procedures for making a business certificate, the author uses data sources (Observation and Interviews). The programming language used is PHP language with MySql database. For system design, the author uses the Prototype method. From the results of the tests carried out, the system functionality can run well and the making of online and onsite business certificates is appropriate and can run well..
ARTISTIC AND AESTHETIC EDUCATION OF YOUTH AND WAYS OF ITS MODERNIZATION

Artistically-aesthetical education of youth and the ways of its modernization. The article is devoted to analysis o f situation o f artistically-aesthetical education of school youth in Ukraine. The ways of modernization of artistically-aesthetical educationand further improvement of professional mastery of teachers of artistic disciplines are grounded.
Globalization, informatization and humanization of the educational sector

In this article, issues such as improving the quality of Education, facilitating and updating its content, creating conditions that promote the preservation of children's health, introduction of modern pedagogical technologies into the educational process are considered. Naturally, the solution of these issues requires teachers of a new type. Such educators will need to have in-depth psychological and pedagogical knowledge and understanding. In other areas, too, have been able to function freely, not only should students know the characteristics of their development, but also help them become independent, creative, self-confident people, the teacher should perceive the interests of the students, be attentive and presentable to them. Crime, prevention of offenses, other unpleasant phenomena should be considered as a necessary and natural function of school activities.
EFEKTIVITAS MEDIA LAGU “RUANG RINDU” KARYA LETTO DALAM PEMBELAJARAN MENULIS PUISI DI MADRASAH ALIYAH NEGERI 2 PALEMBANG

This study aims to a difference in the ability to write poetry in the tenth&#x0D; grade students of Madrasah Aliyah Negeri (MAN) 2 Palembang who participated in learning by using song media and without using song media. This study also aims to examine the effectiveness of song media in improving the ability to write poetry for students of class X in (MAN) 2 Palembang. The method used in this study is a quantitative experimental method. There are two variables in this research, namely the independent variable in the form of song media, and the dependent variable in the form of the abilityto writing poetry. Data analysis techniques were carried out using t-test and score gain. The results of the t-test on the posttest core between the control class and the experimental class resulted. . These results indicate that the song media proved effective in learning to write poetry.
BLOCKCHAIN TEKNOLOJİSİNDE YENİ DÖNEM VE DAHA İYİ MUHASEBE BİLGİSİ

The magnitude of the potential blockchain has been so powerful that the way of doing business in all sectors could change dramatically. The nature of blockchain seems well suited to meeting the needs of accounting as well. If the potentials offered by blockchain can be fully realized, today’s accounting practices are likely to change drastically in a way we have never seen before. In this study, it is tried to determine what kind of impact the blockchain holds for the future of accounting and auditing. “Decentralization” and “triple entry accounting” are revolutionary features blockchain could bring for accounting. In this study, it is understood that these changes seem theoretically possible, but not easy to use them effectively, because it turned out that there are many large and small obstacles ahead that had to be overcome before we could say full adoption of blockchain in accounting. It looks like there is a long way to go, at least for near future. However, considering the magnitude of innovative impact that blockchain will generate, it seems it is worth putting necessary effort in action to overcome these obstacles for high standards in accounting.
IMPROVING THE STUDENTS SPEAKING SKILL THROUGH PICTURE AT THE EIGHT GRADE STUDENTS OF MTs NEGERI 1 BOLAANG MONGONDOW TIMUR

This study aims to improve the speaking skills through pictures at the eighth-grade students of MTs Negeri 1 Bolaang Mongondow Timur. This research is classified as a classroom action research. It was conducted in two cycles, each of which held four sessions in the first cycle and two in the second cycle. The subjects of this study were 25 students of class VIII C MTs Negeri 1 Bolaang Mongondow Timur. It used qualitative and quantitative data collecting techniques. Qualitative data obtained through observation and interviews to students and English teachers. Data was in the form of field notes and interview transcripts, while quantitative data derived from tests (pre-test and post-test) and questionnaires. Besides, this study applies several triangulation techniques, such as time triangulation, researcher triangulation, and data triangulation. The actions carried out in this study used pictures in the teaching and learning process of speaking, applying image-based activities, giving feedback to students’ performances, accustoming students to open dictionaries, giving handouts as daily material, and giving gifts to some active students. The results showed that the pictures application in the teaching and learning process of speaking is believed to be effective for improving students’ speaking skills. Also it showed that improvements in the teaching and learning process affected the improvement of students’ speaking skills. Students’ speaking skills are measured quantitatively. The results revealed that the average score of students’ speaking performance increased from 51.5 in the pre-test to 71.2 in the post-test. The gained score of students’ speaking skills is 19.7.