Reviewerly/exHarmony huggingface dataset:
Perancangan Website UTI-PRO KALBAR Dengan Menggunakan Algoritma Base64 Untuk Mengamankan Database

UTI-PRO Kalbar is a Taekwondo organization located in West Kalimantan and has its headquarters in Pontianak City. The often problems in the UTI-PRO Kalbar are the slow data of members entering the center, especially data from the regional office of the UTI-PRO Kalbar. By the late incoming data, it makes the UTI-PRO Kalbar have some trouble especially when going to do a grading exam or to do a match. With the existence of information technology that provides the Website for UTI-PRO Kalbar indeed will greatly assist the activities that will be carried out by the UTI-PRO Kalbar activities that require member data. Therefore, the secure website design is needed by UTI -PRO Kalbar, the author designs an information website specifically for UTI-PRO Kalbar by applying the Base64 algorithm which will be used to secure the database on the website. The research method used is the Unified Modeling Language method. The algorithm used is Base64. The software design method used is the prototype method. Software design model used is a prototype model. The software testing method of the device is using black box. The result of this research is an organizational website which is a special information facility specifically for UTI-PRO Kalbar. This website is also categorized as user-friendly because it is easy to use. The conclusion of this research is ths design of websites including the application of Base64 services in the form of UTI-PRO Kalbar website can help the data storage process at UTI-PRO Kalbar, so that it would be very helpful for all members especially the manager of the UTI-PRO Kalbar to conduct data processing activities.
AVOIDANCE OF SPILL IN SECRET DATA TRANSMISSION BY RADIAL SYMMETRICAL MODEL USING DATA MINING

The key information gets spilled during the transmission of secret data to the destination again the critical measures were replaced by some unapproved places. The point of approach is to take note of the information spilled time by specialists and check the possibility of trademark in which the operator used for learning which released by World Health Organization. We have bring round to joins a false articles into unique data set that is sensible to the specialists, however it doesn't relates to the genuine elements. The merchant got the opportunity to affirm that the spilled data originated by lot of specialists and square measure severally assembled. The items conveyance to operators is conceivable by exhibiting the information designation techniques and calculations that is utilized to recognize the learning source. Our point is to recover the underlying data from counterfeit items. The information reliance between the various specialists is done by actualizing the radially symmetrical dynamic idea Model and set up together the symmetric reasoning diagram could likewise be attracted to signify the dataset by misuse this philosophy.
Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics

Multi-Task Learning (MTL) has been an attractive approach to deal with limited labeled datasets or leverage related tasks, for a variety of NLP problems. We examine the benefit of MTL for three specific pairs of health informatics tasks that deal with: (a) overlapping symptoms for the same classification problem (personal health mention classification for influenza and for a set of symptoms); (b) overlapping medical concepts for related classification problems (vaccine usage and drug usage detection); and, (c) related classification problems (vaccination intent and vaccination relevance detection). We experiment with a simple neural architecture: a shared layer followed by task-specific dense layers. The novelty of this work is that it compares alternatives for shared layers for these pairs of tasks. While our observations agree with the promise of MTL as compared to single-task learning, for health informatics, we show that the benefit also comes with caveats in terms of the choice of shared layers and the relatedness between the participating tasks.
Perancangan Game Edukasi Kulnas (Kuliner Nusantara) dalam Melestarikan Kekayaan Nusantara menggunakan Visual Basic

Traditional food or culinary archipelago is an ethnic or country identity. In Indonesia traditional food can be found easily in every province. However, many Indonesian people do not know their traditional food and prefer western food or western food. They also have no knowledge of the ingredients used to make western food. One of the causes of this phenomenon is because nowadays Indonesian people tend to play cooking games from abroad or games that do not add to their insight. It cannot be denied that the number of games is quite a lot, on the other hand the number of local games to introduce traditional or culinary food of the Indonesian archipelago is very low and even rarely found. Therefore, this study made an educational game to introduce various traditional foods from all regions in Indonesia and what ingredients were used in making these foods. This game was developed using Visual Basic with the beginning of storyboarding (design) from the archipelago culinary education game, then the design and coding process of the national game. The game itself can be played on personal computers, by possessing various menus such as introducing 3 foods that are typical of 32 provinces which of course are rarely heard and what ingredients are used in making these foods. And quiz knowledge about the materials used to make typical foods in each province.
Reevaluation of Formal Model Comparison Between Slot and Resource Models of Visual Working Memory

Author(s): Cappiello, Marcus | Advisor(s): Zhang, Weiwei | Abstract: Visual working memory actively maintains information over brief periods in service of other mental activities. Unlike other memory systems, visual working memory is highly limited in the amount of information that can be retained, however the nature of this limitation is still widely debated. Historically, research on working memory limitation was focused on the number of items that can be simultaneously maintained, but recently limitations in the precision of working memory representations has also been explored. Two theoretical models have been proposed to account for working memory limitations including precision that will be investigated in depth. The slot model theorizes a limited number of slots for working memory representations. When there are more items than there are slots, then some items will be forgotten entirely. Conversely, the resource model theorizes all items are retained in visual working memory, and any behavioral limitations stem from low precision of memory representations. That is, high error responses are accounted for by a capacity limit in the slot model, and accounted for by low precision representations in the resource model. Previous formal model comparison between the measurement models of these two theoretical models has found some support for the resource model, however important aspects have been overlooked. Support for the slot model is found in the current dissertation by expanding on the previous formal model comparison in four ways. First, a new model comparison analysis is created that includes the flexibility of model parameters; the inclusion of which shows support for the slot model at high set sizes when the capacity limit is exceeded. Second, using the measurement model for the resource model, a capacity limit is still observed. Third, using a non-parametric model fitting approach that does not assume any model, a capacity limitation is again found. Finally, a new measurement model is created that better matches the slot theoretical model. This new model outperforms the variable precision model showing further support for the existence of a capacity limit in visual working memory.
MOTIVASI BELAJAR MAHASISWA DALAM PEMBELAJARAN ACADEMIC WRITING MELALUI STRATEGI GO TO YOUR POST

Motivation is a key success of students’ learning achievement. This study aims to analyze learners’ motivation in writing academic paper through Go to Your Post strategy. This study used a quantitative descriptive approach. The data were obtained through administering research instrument in form of questioner. These statements were then analyzed using rating scale. The research findings showed that Go to Your Post strategy could present major influence on learners’ motivation. The findings were also demonstrated that 86% of the students feel happy when learning academic writing through Go to Your Post strategy.
Extracting a Credible Hint of Response Time to Scale Resources in Elastic Clusters

In elastic clusters, the service resources (or called “resources” for short) can be dynamically scaled, thus providing opportunities to cut down the energy cost of redundant resources. Generally, taking into account the Quality of Service (QoS) of clusters, resources are carefully scaled according to specific hints which are some features of system status. However, when the Service Quality Requirement (SQR) is referred to the response time of requests, some widely used features cannot well reflect the status of the QoS. Consequently, the QoS cannot be well maintained, and the energy-saving efficiency is unsatisfactory. In this paper, we indicate that under such SQR, the outstanding hint for resource scaling is the response time of requests. Accordingly, we propose a resource scaling method which scales resources leveraging an elaborate Hint of Response time (HR). More specifically, HR is credible to foresee future QoS, and our method extracts HR by tracking and making analysis on the waiting requests in each server. Moreover, when resource scaling operation is performed, our method can estimate how many resources are suitable for current workloads with a good accuracy. Thereby, our method can timely and directly scale resources to the suitable amount, thus can significantly reduce the time delay of re-matching resources. Finally, our method can significantly promote cluster performance on both the QoS and the energy-saving efficiency.
Framework Design for Secured Local Cloud Data Query Processing Analysis

Cloud computing is a vastly growing technology that enables more users and organizations to transfer their services to the cloud. With the exploitation of public cloud computing infrastructures, the usage of clouds to provide data query services is becoming an attractive solution due to its numerous benefits on scalability and cost-minimizing. The cloud services especially the database-as-a-service have tended to encrypt sensitive data before the migration over the cloud. Encrypting data would facilitate protecting private information from any violation by the service provider. Several studies have addressed the handling of cloud query processing by providing approaches to maintain the privacy of the data stored within the cloud. During their studies, researchers have proposed different types of encryption methods, each encryption method provides a specific level of security which comes with an opposite level of efficiency. This research is focused on framework design to evaluate cloud data query processing locally using two encryption methods namely AES and RSA. The parameters chosen are time consumption for encryption and decryption along with secrecy or the strength of the encryption and decryption.
True Request–Fake Response: A New Trend of Spear Phishing Attack

Abstract: Phishing is a serious concern on internet. Current anti-phishing solutions identify scamming behaviour during one stage of communications between both users. They rely only on static features related to the attacker email on that stage to lure the potential victims. This paper exposes a new trend of spear-phishing attack, namely True Request–Fake Response (TR-FR), which exploits cross-communications among messaging clients as well as multi-stage interactions between the victim and the attacker. We propose theoretical approach and architecture based on email contextual parameters to identify such type of phishing. We identify a real case of TR-PR and apply the proposed method to show how this case can be detected. Keywords: Anti-Phishing Working Group (APWG), cross-communications, Phishing, spear phishing, True Request–Fake Response (TR-FR) Cite this Article: Franklin Tchakounte, Virgile Sime Nyassi, Kalum Priyanath Udagepola. True Request–Fake Response: A New Trend of Spear Phishing Attack. Journal of Network Security. 2019; 7(3): 1-17p.
PROBLEMS OF STUDYING AND TEACHING MATHEMATICS IN A TECHNICAL UNIVERSITY

The article identifies three main problems of mathematical education in Russia: low educational motivation of students, the content of mathematical education, not enough teachers of higher education educational organizations. Such a concept allowed the author to consider the main problems of the mathematical education of future engineers. The conditions that influence the success of the study and training of mathematics are determined by the example of the Surgut branch of the Tyumen Industrial University, Omsk State Technical University.
Improving secondary school students’ text-learning strategies and performance through a strategy-focused program : a multilevel study

The ability to learn informative texts effectively is becoming increasingly important in secondary education. At this point, textbooks across different curriculum subjects are asking for the effective use of text-learning strategies. Text-learning strategies refer to the variety of activities students apply whilst processing (i.e. selecting, organising, condensing, and retaining) text information (Vermunt & Vermetten, 2004). Particularly the ability to use a variety of text-learning strategies has shown to play a pivotal role in students' learning and performance (Alexander, 2005). Unfortunately, research shows that in today’s classrooms few teachers equip their students with such a repertoire, as the teaching of text-learning strategies is difficult and challenging (Weinstein et al., 2011). Therefore, this study focusses on the impact of an explicit strategy-instruction program to foster first-grade secondary school students’ text-learning strategy use and performance. A large-scale experiment with a switching replication design (with two groups and three measurement occasions) was set up, in which 689 students followed an eight-lesson teacher-delivered strategy program. At the three measurement occasions, students’ text-learning strategy use was assessed by a learning task and a task-specific self-report inventory. Their performance was measured using a cued recall test. Multilevel piecewise growth analysis was used to examine the evolution in students’ strategy use and performance. The results show that both students’ text-learning strategy use and learning performance improved significantly after receiving the intervention. Moreover, this improvement was maintained two months after the intervention, demonstrating that a strategy-focused teaching program is a promising approach to improve secondary school students' text-learning.
Business games as a component of interactive learning in a tourist college

This article discusses the possibilities and practical value of using such an interactive learning method as a business game. Business game is one of the methods of activation creative activity for students and implementation of professional-game tasks in the educational process. The methodical purpose of the business game is mainly to train skills, as well as to find strategies for solving a professional problem.The article discusses the possibilities of using group business games such as brainstorming and the project method when studying the discipline “Sales technology and promotion of tourist products” in a tourist college. The main attention in the article is paid to the tasks of group business games statement which is basis for professional decision making tasks. The role of the leader and its influence on the formation a favorable socio-psychological climate among the participants are considered, the stages of the student group development during the business game are also considered. The article describes the algorithm for conducting group business games and the methodology of their organization and conduct. The article presents the structure of business games held with students of a tourist college.
Specific application of mathematical method of fuzzy logics to digital book identification

The problem of studying digital books as a bibliogical category remains one of the most relevant within the system of bibliology, library science and bibliography. The functions of digital information within the modern communication environment are extremely diverse, while the mechanism for determining their belonging to the book system as a whole and the digital books in particular has not yet been found. Several studies have provided a theoretical substantiation for the possibility of using fuzzy logic methods for this purpose, but this is not sufficient to solve the problem. The mathematical methods to be applied to book objects have to be indentified and, based on them, mathematical modeling is possible. No studies of this kind have been yet conducted in bibliology. Based on the findings of theoretical and empirical studies, the authors substantiate the possibility for using the mathematical apparatus of fuzzy logic to study classifying digital documents within the system of digital books. The terms of applying these methods to digital books are revealed, the stages of mathematical modeling are analyzed, examples of the practical application of mathematical methods to electronic objects are given, which demonstrates the possibility and specific character of using fuzzy logic to book objects.
RANCANG BANGUN APLIKASI CLOUD STORAGE DENGAN ANGGULAR DAN FIREBASE BERBASIS ANDROID

Cloud storage is a development of cloud-based data storage, then Firebase provides services, one of which is Firebase storage, which is one of the technologies in the field. Cloud storage technology allows Android users to store data without requiring physical storage, specifically for Android users themselves the use of cloud storage will be very useful as an alternative storage media or backup media so that data is not easily lost. The design of cloud storage applications using Android-based firebase was developed beginning with analyzing needs, designing the appearance of applications, building applications, inputting program code, and testing applications. Output results to be achieved are the generation of cloud storage applications that can store various types of file extensions, are easy to use, and can run well on the Android platform. From this research, the results are obtained: first Cloud Storage technology is very useful as a data storage medium so that data is not easily lost, secondly making an Android application with Angular can be built with Cordova to run on the Android platform, thirdly Firebase has many features and services that can be used in the development of android applications, one of which is firebase storage.
Facial Feature Extraction for Emotion Classification Using Fuzzy C-Mean Clustering

Background: Automatic human emotion recognition system is an active area of research due to its wide applications in the field of Human Computer Interaction(HCI) systems, driver fatigue monitoring systems, surveillance systems, human assistance systems, smile detectors etc. Objective: The study presents a fuzzy based approach to extract facial features from input image and builds different classification models to classify the image into two emotion classes i.e. happy and neutral. The system has potential implications in the field of smile detection systems, customer experience analysis and patient monitoring systems. Methods: The proposed system determines the dimensional attributes (l-attribute and w-attribute) of mouth region extracted from the facial image using viola-jones algortithm. The feature set is generated by using a total of 136 images from JAFFE, NimStim and MUG dataset. The differentiating power of the attribures is then evaluated using five different classification models. Results: The accuracy, precision and recall is determined for each classification model. The results show good accuracy of 70% for the grayscale JAFFE and NimStim databases and 95% for the coloured MUG database. Conclusion: The mouth features calculated in the study are based on the geometric coordinates which eliminates the possibility of false distance measurements due to presence of noise or shadows.
The Effect of Scientific Based Learning On Student’s Reading Skill Achievment At Tenth Grade of MA Nurul Abror Pamarayan Kab. Serang ” (

Tazkiyaun Nafis , 122301399, 2019, “ The Effect of Scientific Based Learning On Student’s Reading Skill Achievment At Tenth Grade of MA Nurul Abror Pamarayan Kab. Serang ” ( undergraduate Research paper, Department of English and letters, the State Islamic Studies University , “ Sultan Maulana Hasanuddin” Banten). Adviser : Abdul Muin, S.Ag M.M and Dr. Hj. Anita,S.S, M.Pd ABSTRACT This research is mainly purposed to find out is there the effect of scientific based learning on students’ Reading Skill At Tenth Grade of MA Nurul Abror Pamarayan Kab. Serang. The Scientific Based Learning is applied by experiment class and control class. The method of this research is pre-experiment research. The population in this research is the Tent grade At MA Nurul Abror Pamarayan Kab. Serang. The writer took tenth grade that consist 0f 30 Students. The writer took 30 students as sample and uses post teatment because the writer uses pre-experiment method. To analyze this research the writer uses T-test method and to get the data the writer uses observation technique, and test as instrument of research. The observation is to know the students’ Reading Skill achievement At Tenth Grade of MA Nurul Abror Pamarayan Kab. Serang. while, test is to know The Effect of Scientific Based Learning On Student’ Reading Skill achievement At Tenth Grade of MA Nurul Abror Pamarayan Kab. Serang. After having analysis data, there is The Effect of Scientific Based Learning On Student’ Reading Skill achievement between experiment class and control class, based on the calculation is know that t table with level significance 5 % = 2,00 and with level ignificance 1% = 2,65 so tobservation n = 20,34 > t table = 2,00 or tobservation n = 20,34 > t table = 2,65.the conclusion is that the writer reject H0 : to tt. it means there is The Effect of Scientific Based Learning On Student’ Reading Skill achievement At Tenth Grade of MA Nurul Abror Pamarayan Kab. Serang. Key Words : Reading Skill, Scientific Based Learning
Distributed Social Multi-Agent Negotiation Framework For Incomplete Information Games

In this paper, we propose a social negotiation system in which agents can communicate and interact with each other socially throughout a Sheriff of Nottingham game. We address issues with the number of options available while negotiating, particularly when bluffing is involved. Experiments are proposed that would allow us to validate how closely this framework mirrors real social interaction in the game, and the possibility of generalising multi-agent negotiation beyond this framework is raised.