Reviewerly/exHarmony huggingface dataset:
Sales Management System Design And Promotion Media (Marketplace) Sales Of Umkm, Padang City (Perancangan Sistem Manajemen Penjualan Dan Media Promosi (Marketplace) Penjualan Umkm Kota Padang)

Padang city as we know it is a tourist city which is a lot of tourist destinations of both domestic and foreign tourists. Therefore, more than 50% of the people of Padang city choose to trade as the basis of their lives. But now as technology develops, people are more dominant or want everything to be easy. Including for shopping. In a very large number of MSMEs that have not been touched by the community. Therefore, with technology, the sales system that was previously done traditionally can be input in an integrated system. Market Place is a form of modern market today. Does not need a place but can accommodate all SMEs in the city of Padang. With this Market Place, it is expected that the community can reach out to the Padang city MSMEs even further and the sales and promotion systems of these MSME products can be spread more widely and make the revenue generated from the sales of MSMEs be increased and maximum again and the management of the sales system can be well managed. With this marketplace application, it is expected that MSME entrepreneurs who do not have a permanent place can increase their income. There are at least 88.8 percent contributing to economic growth in Southeast Asia. In Indonesia, there are approximately 59.2 million MSME actors by contributing 56 percent of the country's add up to the economy. However, from the add up to UMKM, only 3.97 percent million MSMEs have entered online
Establish Trust for Sharing Data for Smart Territories Thanks to Consents Notarized by Blockchain

Many territories are implementing development strategies strongly rooted in ambitions in terms of digital innovation. These strategies aim not only regional planning, but also economic development and people’s quality of life. This refers to the concept of smart territories. To achieve their objectives, smart territories generally use citizens’ data to offer them services and support them in better individualized decision-making. However, a major problem arises in data management, as it is necessary to have the consent of users to access and use data. In this article, we propose a generic blockchain-based model for consent-based data sharing in the context of smart territories, while putting users at the center of control of their data. We take advantage of ADA-M (Automatable Discovery and Access Matrix), a matrix that provides a standardized way to unambiguously represent conditions related to discovery and access to data. We couple the use of ADA-M with a blockchain anchor system, which helps secure consent management for data access. This helps to develop an environment of digital trust for sharing data between users. Then, through a digital token, we offer a system of rewards for users in cases where their data is used for commercial purposes.
Fine-grained Generalization Analysis of Structured Output Prediction

In machine learning we often encounter structured output prediction problems (SOPPs), i.e. problems where the output space admits a rich internal structure. Application domains where SOPPs naturally occur include natural language processing, speech recognition, and computer vision. Typical SOPPs have an extremely large label set, which grows exponentially as a function of the size of the output. Existing generalization analysis implies generalization bounds with at least a square-root dependency on the cardinality d of the label set, which can be vacuous in practice. In this paper, we significantly improve the state of the art by developing novel high-probability bounds with a logarithmic dependency on d. Furthermore, we leverage the lens of algorithmic stability to develop generalization bounds in expectation without any dependency on d. Our results therefore build a solid theoretical foundation for learning in large-scale SOPPs. Furthermore, we extend our results to learning with weakly dependent data.
STORY MAPPING STRATEGY TO IMPROVE STUDENTS’ READING SKILL AT SMP AN-NUR WATUKOSEK PASURUAN

The main purpose of this research is to know the improvement of students’ reading skill in narrative text through story mapping strategy. this research was conducted at SMP An- Nur Watukosek-Pasuruan. this research is a classroom action research which is conducted in two cycles. this study was carried out on February to April 2021. the subjects were the eight grade students of SMP An-Nur Watukosek, Pasuruan. The data collection involved a number of instruments, namely preliminary test to know the reading ability firstly. Then, using post-test in the end of each cycle, questionnaires, and also an interview. The post-test used in each cycle to know the reading’s improvement after using story mapping strategy. The questionnaire in the form administrated to collect data about the students’ appreciation in learning reading using story mapping, both the teacher’s method, the students, and also story mapping itself. There were several steps in this research implementation, they are identifying the problems, planning, acting, observing and reflecting.the result showed that the students’ reading ability improved and the target of this research was achieved. And also they felt easier to understand the text, because it consist of some elements, are orientation, complication, and resolution.. Keywords: Story mapping, reading skill
Komparasi Algoritma Naïve Bayes dan Support Vectors Machine pada Analisis Sentimen SMS HAM dan SPAM

SMS is a form of communication in the form of messages sent using mobile phones between the designated numbers. SMS is now rarely used because many of the features that have changed are used by chat applications. However, the SMS feature was not removed for one thing, official messages from various applications for leveraging or other official information still use SMS as a sign that the phone number used is there. However, since 2011 there have been so many misuses of this function, so it is suspected that many frauds use SMS as a tool to influence victims. This sms category goes to SMS spam. Therefore, SMS needs to be classified so that users can find out that the SMS is included in the category of Spam or ham (the opposite of spam). Using 400 datasets taken from the UCI repository which is divided into two classes, namely spam and ham, we compare two classification methods, namely Naive Bayes and Support vector Machine in order to get SMS filtering correctly. And after the calculations are done, the accuracy is obtained in Naive Bayes, which is 90.00% Support Vector Machine 81.00%.
Consumer Neuroscience – The Application of Selected Neurobiological Methods in Consumer Research

Purpose: The primary scientific goal of the article is to present the results of research on the application of neurobiology methods and techniques to analyze consumer behavior and test the effectiveness of advertising. During the study, respondent reactions (emotions, memory, or interest) to individual advertisement fragments were analyzed. Results of the neural and psychophysiological measurements were compared to participant responses obtained during direct interviews. Design/Methodology/Approach: To achieve the aims of the article, the research was carried out in two stages. The first part was an experiment using electroencephalograph (EEG) and biometric techniques, such as electrodermal activity (EDA), electrocardiography (ECG), and heart rate (HR). The second section of the study was based on direct interviews with the respondents. Findings: The growing number of advertising messages and the seemingly increasing chaos within this area have meant a clear need to search for means, forms, and contents that can reach the client. The application of neurobiological knowledge in marketing can better understand these processes, such as emotions, attention, memory, or decision making. Knowledge of how the brain reacts to various stimuli can increase the effectiveness of an advertised message. Practical Implications: Using EEG in combination with biometric techniques (EDA, ECG, and HR), researchers can better understand how consumers make decisions that could lead to them making a purchase. Research of this type can enable companies to reduce losses associated with launching a product on the market that no one wants to buy and lead to more effective and exciting advertising (in the case of the consumer) for the goods to be sold. Originality/Value: This research attempts to fill a gap in the literature on the subject. An experimental research approach to consumers may provide new knowledge about their expectations, desires, and purchasing behavior. The research presented in this article also provides knowledge on combining traditional marketing research (in this case, direct interview) with modern neurobiological methods and techniques.
Estimation of Crowd Density from UAV Images based on Deep Learning

Crowd monitoring is necessary to improve safety and controllable movements to minimize risk, especially in high crowded events, such as Kumbh Mela, political rallies, sports event etc. In this current digital age mostly crowd monitoring still relies on outdated methods such as keeping records, using people counters manually, and using sensors to count people at the entrance. These approaches are futile in situations where people's movements are completely unpredictable, highly variable, and complex. Crowd surveillance using unmanned aerial vehicles (UAVs), can help us solve these problems. The proposed paper uses a UAV on which an IP Camera will be attached to get media, we then use a convolutional neural network to learn a regression model for crowd counting, the model will be trained extensively by using three widely used crowd counting datasets, ShanghaiTech part A and part B, UCF-CC 50 and UCF-QNRF.
Learners’ Anxiety, Self-Efficacy, and Personality as Predictors of Learners' Speaking Performance

&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; This study is intended to find out the effective contributions of learners’ anxiety, self-efficacy, and personality to learners’ speaking performance. The result shows that anxiety gives 18.9% contribution, self-efficacy 32.5%, and personality 10.2% to speaking performance. In conclusion, self-efficacy gives the biggest contribution to the speaking performance of second semester’s learners in English university level.&lt;/p&gt;&lt;strong&gt;Abstrak:&lt;em&gt; &lt;/em&gt;&lt;/strong&gt;Penelitian ini bertujuan untuk mengetahui sumbangan kecemasan siswa, efikasi diri siswa, dan kepribadian siswa terhadap performa siswa dalam berbicara. Hasil penelitian ini menunjukkan bahwa kecemasan berkontribusi sebesar 18.9%, efikasi diri 32.5% dan kepribadian 10.2%. Kesimpulannya, efikasi diri berkontribusi paling banyak terhadap performa siswa dalam berbahasa Inggris pada semester kedua di tingkat universitas.
The relationship between creative leadership and creative thinking in primary school students

The paper reveals some aspects of the problem of forming a complex of qualities that characterize the phenomenon of creative leadership in school students. The interest in this problem is explained by the increased need of modern Russian society and its relevance in scientific psychological and pedagogical and socio-psychological problems. The prerequisite for the study was the contradiction between the urgent need for creative leaders in various spheres of production, management, in creative and spiritual life and the absence of a systematic purposeful state policy in this field. At the same time, it is stated that if in foreign science from the beginning of the 1960s, studies of the concept of creative leadership are carried out, but in Russian scientific thought, the concept of creative leadership is still poorly understood from the point of view of its formation. Several aspects of the problem of leadership are reviewed, such as the ability of a leader to lead other people to solve various problems, including creative ones; the concept of creativity is analyzed as the ability to think in an original, non-standard, creative way, to generate innovative cultural products. The phenomenon of creative leadership is considered by the authors, first of all, as a person’s expressed ability to lead a group of people to achieve various goals that are important for this group, to implement creative ideas and projects, while the directions, methods, means of their implementation are innovative. The paper presents the results of an experimental study conducted to determine the nature of the relationship between creative leadership and creative thinking. The novelty of the study is determined by the use of an original series of methods that allow for a comprehensive assessment of the formation of creative leadership in school students and the presence of a correlation between the indicators of the creative leadership methodology with various factors characterizing creative thinking.
The Effect of Togok Tendency Towards Placement of Service in FIK UNP Students

This research is a correlation study which aims to see how much influence togok flexibility has on the placement of service for sports education students at the Universitas Negeri Padang.The data was collected using a test survey with test and measurement techniques.Sampling was done using techniques Purposive Sampling totaled 30 people.The instrument test in this study used a Flexiometer to test the flexibility of the togok, and the Hewitt test achievement to test the placement of service.The results of the study concluded: 1).Togok's flexibility has directly affected Placement of service.
KAJIAN KAPASITAS TAMPUNGAN KOLAM RETENSI DI PERUMAHAN SARIMAS, KELURAHAN SUKAMISKIN, KECAMATAN ARCAMANIK, KOTA BANDUNG

The flood was triggered by a decrease in absorption zones as population growth, activity and land requirements for housing or economic activities increased. To overcome the flood, Bandung City created a conservation pond as one of the flood prevention measures designated as one of the most frequent flood forest prevention measures in Sarimas. The purpose of this study is to assess of the capacity of the retention pool in Sarimas housing, Sukamiskin sub-district, Arcamanik subdistrict, Bandung city.Based on a runoff discharge analysis conducted with rain on the 10-year obtained a maximum of water runoff discharge using the method of synthetic hydrograph unit (HSS) Nakayasu of 20.52 m3. The traceability of the flow path carried out still leaves a significant volume of the water tank, with the capacity of the outlet remaining up to 5.01 m3/s capacity for the pump.
Connect Multi-Agent Path Finding: Generation and Visualization

We present a generic tool to visualize missions of the Connected Multi-Agent Path Finding (CMAPF) problem. This problem is a variant of MAPF which requires a group of agents to navigate from an initial configuration to a goal configuration while maintaining connection. The user can create an instance of CMAPF and can play the generated plan. Any algorithm for CMAPF can be plugged into the tool.
Efficiency of Machine Translation in Urban Discourse

This article aims to analyze the use of Yandex.Translate, an online machine translation system, in translating urban discourse texts on the web. The authors use integrative linguistic-and-pragmatic approach to assess machine translation quality in a global digital setting. The aim is to show the efficiency of a state-of-the-art machine translation system and to investigate its usefulness in practical application. The authors perform a detailed analysis of the Paris city website content, which is automatically translated from French into Russian with Yandex.Translate. The data selection is justified by the absence of official foreign versions of this website, which points to the need of machine translation engines integrated in a web browser. Less than 20% of the analysed machine-translated texts demonstrate high language quality, whereas 60% can be referred to as acceptable – the text preserves the meaning of the source but contains some errors and inaccuracies in the target language. About 20% of the machine-translated text contains blunders, which violate Russian language norms. It causes source text contents distortion and communication failures. In the end, a classification of the system errors is presented. It is also concluded that machine translation would substitute middle-skilled human translators in the future. However, the use of such systems will enforce standardisation and simplification of the target language.
Robust Regularization with Adversarial Labelling of Perturbed Samples

Recent researches have suggested that the predictive accuracy of neural network may contend with its adversarial robustness. This presents challenges in designing effective regularization schemes that also provide strong adversarial robustness. Revisiting Vicinal Risk Minimization (VRM) as a unifying regularization principle, we propose Adversarial Labelling of Perturbed Samples (ALPS) as a regularization scheme that aims at improving the generalization ability and adversarial robustness of the trained model. ALPS trains neural networks with synthetic samples formed by perturbing each authentic input sample towards another one along with an adversarially assigned label. The ALPS regularization objective is formulated as a min-max problem, in which the outer problem is minimizing an upper-bound of the VRM loss, and the inner problem is L1-ball constrained adversarial labelling on perturbed sample. The analytic solution to the induced inner maximization problem is elegantly derived, which enables computational efficiency. Experiments on the SVHN, CIFAR-10, CIFAR-100 and Tiny-ImageNet datasets show that the ALPS has a state-of-the-art regularization performance while also serving as an effective adversarial training scheme.
Using Star (Select, Teach, Activate and Revisit) Strategy to Increase Vocabulary Mastery of Eighth Grade Students

The objectives of this study were: (1) to describe the implementation of STAR (Select, Teach, Activate and Revisit) strategy of the eighth grade students of MTs N 1 Bangka, and (2) to find out whether there was any significant difference in vocabulary mastery between the students who were taught by using STAR strategy and the students who were taught without STAR strategy. This study was focused on vocabulary mastery. The total number of sample was 64 students. In this study, the researcher used experimental research method with a quasi-experimental design. The result showed that the students’ vocabulary mastery significantly increased. It could be seen from the pre-test and post-test mean score. Furthermore, the result of independent sample t-test of students’ post-test between experimental group and control group showed that the t-obtained was higher than t-table (2.547 &gt; 2.00) and the p-output was lower than computation with level significant 0.05 (0.014 &lt; 0.05). It means that the alternative hypothesis (Ha) was accepted and the null hypothesis (Ho) was rejected. It could be concluded that STAR strategy was effective to increase students’ vocabulary mastery.
AN ANALYSIS OF PLOT IN FILM THE THEORY OF EVERYTHING BY JAMES MARSH

Plot is one of the important elements contained in narrative literary works. Plots in literary works, films, stories, or other narratives are sequences of several events, and each of these events influences subsequent events. Now, the film is considered as a powerful communication medium for the masses that are being targeted, because of its audio-visual nature, that is, vivid images and sounds. With pictures and sound, movies can tell a lot in a short time. This study focuses on the analysis of how the plot is used in the film The Theory of Everything. Thus, the aim is to describe the plot in the film The Theory of Everything.This research used a descriptive qualitative method. First, the writer categorizes several fragments of a sentence, dialogue, and scene. Next, look for, analysis, and interpret it to obtain the plot structure in accordance with the theory. From the results of the analysis obtained the answer that the film is told in its entirety starting from exposition, rising action, climax, and falling action. And the film closes with a closed ending. So the film goes forward or progressive plot. The authors hope that the results of this study will benefit future researchers who are interested in the work of literature in the form of films, especially in the plot. Keywords: Film, plot
HIGHER EDUCATION IN THE FIELD OF REGIONAL DEVELOPMENT –E-LEARNING AND TRAINING FIRM APPROACHES

Higher education is important for economic growth especially for the rapid development of regions.Using different approaches in the education process develops skills that can be used in both science and practical moments.Compelling both of these methods of study is the key for regional growth for economically developing counties like Bulgaria.The scientific approach of study is not useful for that moment of economic development.The reason is hidden in low investment opportunities in innovations for small and medium-sized enterprises and scarce of free cash.That is why businesses want from universities graduated students with practical experience.Often this requirement is impossible because of the specific business activities and additional teaching is needed.In that case, the dual approach will be the best opportunity.This approach includes a practical aspect of the science and simulation it with real operations.Students in the field of regional development must have complex knowledge in the area of economic, social, politics, and geography.These areas of study help for future regional economic growth.Now the pandemic situation in the world put higher education in online mode.The universities moved to e-learning platforms like Moodle, Teams, Zoom, etc.The main problem is related to a few obstacles.First, most of the universities did not use the full functions of that platforms.Second, most of the teachers are not learned how to use them.Third e-learning processes have weak spotscheating, non-direct contact with the students, etc. Fourth the main challenge would be the quality of the teaching and learning.
The Application Systems with Industrial Revolution 5.0 In Supporting Youth Development Environment

The role of Information Communication Technology (ICT) in our life is very important and nowadays it is required to be used anywhere, through any platforms and anytime especially in relation to Youth Community of Practice (YCoP) activities in enhancing their future quality of life.Meanwhile, for social development of the youth and preparation to become a leader of tomorrow, ICT of Application System (AS) with Industrial Revolution (IR5.0)plays a big part in their journey in ensuring no one is left behind and always ready to face new issues and upcoming challenges in the future.Besides that, based on the reviews of the related papers done, there is an indication that the need of the AS is becoming increasingly important and could not be avoided in YCoP environment.Therefore, Application Systems with IR 5.0 is considered essential in assisting the youth for their activities of future development environment purposes and consequently this will ensure their quality of life can be improved and sustainable all the time.