Reviewerly/exHarmony huggingface dataset:
Pengaruh Motivasi Belajar Guru Terhadap Keterampilan Membuat Bahan Ajar Berbasis Informasi Dan Teknologi Di SMP Negeri 139 Jakarta

The purpose of this research activity is to measure and determine whether or not there is influence between motivation to study MS Power Point and Blog programs on teacher skills in making presentation slides and Blogs by using MS Power Point and Blog programs in information-based teacher teaching materials preparation training programs and technology at 139 Jakarta Public Middle School. The target to be achieved specifically in this research activity is the output of research carried out can be used as an indicator of decisions and policies for the Head of Jakarta SMP Negeri 139 in an effort to improve the competence of teachers in the schools they lead. The type of research carried out is quantitative descriptive using a statistical approach from the primary data obtained. The method used in the research activities at 139 Jakarta Public Middle School is through a survey using a questionnaire and literature review as a support in this study. The results showed that there was a very low influence between teacher learning motivation and the teacher's ability to make teaching materials as evidenced by the calculation of the correlation coefficient of 0.043 or 4.3% which could be interpreted as teachers' awareness to learn and master teaching skills using learning media Information and Technology based is very low.
On Committee Representations of Adversarial Learning Models for Question-Answer Ranking

Adversarial training is a process in Machine Learning that explicitly trains models on adversarial inputs (inputs designed to deceive or trick the learning process) in order to make it more robust or accurate.In this paper we investigate how representing adversarial training models as committees can be used to effectively improve the performance of Question-Answer (QA) Ranking.We start by empirically probing the effects of adversarial training over multiple QA ranking algorithms, including the state-of-the-art Multihop Attention Network model.We evaluate these algorithms on several benchmark datasets and observe that, while adversarial training is beneficial to most baseline algorithms, there are cases where it may lead to overfitting and performance degradation.We investigate the causes of such degradation, and then propose a new representation procedure for this adversarial learning problem, based on committee learning, that not only is capable of consistently improving all baseline algorithms, but also outperforms the previous state-of-the-art algorithm by as much as 6% in NDCG (Normalized Discounted Cumulative Gain).
General Retaliation Against The Roman Empire as Seen in William Shakespeare’s Coriolanus

This reseacrh is titled "General Retaliation Against The Roman Empire As Seen In William Shakespeare's Coriolanus. In this research the author will discuss several issues, namely (1) How is Coriolanus's struggle in defending Rome's empire from enemy attacks? (2) What did Coriolanus do to avenge himself at the Roman empire? (3) What is the story of Coriolanus at the end of the story? the objectives of this research are (1) To analyze Coriolanus' life at the beginning of the story (2) To explain the cause of coriolanus to avenge his Roman empire (3) To study and explain how much Coriolanus's grudge to Rome to the tragic story he experienced.&#x0D; The theory used in this research is literary psychology theory according to Sigmund Freud. This research uses a qualitative method. The object of research is the drama Coriolanus by William Shakespeare. Data sources are divided into two, namely primary data sources and secondary data sources. The primary data source is the drama script itself. Secondary data sources are text texts and several references related to research. The data collection technique is taking notes. The technical analysis of the data is descriptive analysis.&#x0D; The results of the study show the following conclusions. First, the responsibility of a general in maintaining the sovereignty of his kingdom. Second, feelings of resentment arise when a struggle is not properly appreciated. Third, someone's revenge towards others can have fatal consequences and can even end in a tragic death.
Learning to Ask for Conversational Machine Learning

Natural language has recently been increasingly explored as a medium of supervision for training machine learning models.Here, we explore learning classification tasks using language in a conversational setting -where the automated learner does not simply receive language input from a teacher, but can proactively engage the teacher by asking template-based questions.We experiment with a reinforcement learning framework, where the learner's actions correspond to question types and the reward for asking a question is based on how the teacher's response changes performance of the resulting machine learning model on the learning task.In this framework, learning good question-asking strategies corresponds to asking sequences of questions that maximize the cumulative (discounted) reward, and hence quickly lead to effective classifiers.Empirical analysis shows that learned question-asking strategies can expedite classifier training by asking appropriate questions at different points in the learning process.The approach allows learning using a blend of strategies, including learning from observations, explanations and clarifications.
Developing E-Writing Materials for The Junior High School Students

This study aims at developing appropriate e-writing material to meet the needs of the students of MTs Negeri Kota Pasuruan. The teaching materials were developed to facilitate students’ psychological aspect and achieve their pedagogical goal. These materials which are based on the English Curriculum standard of content were developed in the form of interactive CD-ROM. It provides scaffolding flowing from fully guided, partly guided, to fully free learning. The study employs a design and development model of Richey and Klein (2007) with three main stages: identifying research problem phase realized through needs analysis, model development research, and model validation research for both internal and external validation. The result of the data from the students shows that the final product can be regarded as an appropriate e-writing material for the students. The data are supported by the result obtained from English teachers; these materials reflect constructivism, questioning, inquiry, learning community, modeling, reflection, and authentic assessment. Therefore, these materials which reflect Contextual Teaching and learning (CTL) are categorized as a very good material and no revision needed.
Prediction of Opinion Behavior using Content based Sequential Opinion Influence Model

Micro-blogging and social networking sites play a vital role in identifying and extracting distinct opinions and emotions from public. Social media has become a viral medium for public to express and exchange their opinions through the user-generated text. The aim of this paper is to classify the tweets using Content based algorithm and Support Vector Machine (SVM). The tweets are also analyzed and classified in terms of polarity: Positive, Negative and Neutral. To keep track of user opinion behaviors and infer user opinion influence from the historical exchanged textual information, we develop a contentbased sequential opinion influence framework with the help of two opinion sentiment prediction models with alternative prediction strategies are proposed.
Token Authentication based Election System with AI BOT

An online voting system makes use of the internet in order to cast a democratic vote. Traditional voting systems uses many hardware for voting process and the vote must be casted in the polling station. This application deals with token authentication, AI bot, google reCAPTCHA design, build and test online voting system that facilitates user, candidate, Election Commission Officer to participate in online voting. Token authentication reduces the false votes and AI bot clarify the queries raised by the voter and provides greater security. To provide higher security, SALT Algorithm is used. Online voting system will increase the voting percentage in India. The counting of votes will be automated, thus it saves huge amount of time and announce the result within a short duration.
The En-Ru Two-way Integrated Machine Translation System Based on Transformer

Machine translation is one of the most popular areas in natural language processing. WMT is a conference to assess the level of machine translation capabilities of organizations around the world, which is the evaluation activity we participated in. In this review we participated in a two-way translation track from Russian to English and English to Russian. We used official training data, 38 million parallel corpora, and 10 million monolingual corpora. The overall framework we use is the Transformer neural machine translation model, supplemented by data filtering, post-processing, reordering and other related processing methods. The BLEU value of our final translation result from Russian to English is 38.7, ranking 5th, while from English to Russian is 27.8, ranking 10th.
Interactive Voice Based E-Mail System

In Today's world of communication has become so easy due to integration of communication technologies with internet. However the visually challenged people find it very difficult to utilize technology because of the fact that using them required visual perception. Even though many new advancements have been implemented to help them but no naive user use the computers efficiently and no other visually challenged can use this technology as efficiently as the normal person. A naive user who can use this software like normal users, they require some practice for using the available technology.This project aims at developing an email system that will help visually impaired person.The system will remove the use of keyboard, instead will work primarily on mouse operation and speech to text.The system is completely based on interactive voice response which will make it user friendly and efficient to use. I.
A Hyper-Chaotic Color Image Encryption Algorithm and Security Analysis

According that the current color image encryption algorithms of "scrambling -diffusion" mode have many problems, such as the small key space, the tedious encryption process, the security vulnerability and so on, this paper proposes a new color image encryption algorithm based on the hyperchaotic system, which adopts "transforming -scrambling -diffusion" model.Before scrambling, in accordance with the image itself attributes, the number of iterations is calculated, all the pixel values of color image gray code iterative transformation, then the chaotic sequence generated from the four-dimensional hyper-chaotic system and pixel matrix converted to gray code are transformed to one dimensional matrixes .The former is sorted and the later change correspondingly to complete the image pixel matrix of the whole domain scrambling.And then, bit operation is executed to complete image diffusion.the ciphertext is obtained by matrix transformation.The key sensitivity histogram information entropy correlation and other evaluation indexes are calculated and analyzed through the simulation experiment, and compared with other algorithms, proving that the encryption algorithm has strong anti-attack ability.
Connecting R with D3 for dynamic graphics, to explore multivariate data with tours

The tourr package in R has several algorithms and displays for showing multivariate data as a sequence of low-dimensional projections.It can display as a movie but has no capacity for interaction, such as stop/go, change tour type, drop/add variables.The tourrGui package provides these sorts of controls, but the interface is programmed with the dated RGtk2 package.This work explores using custom messages to pass data from R to D3 for viewing, using the Shiny framework.This is an approach that can be generally used for creating all sorts of interactive graphics.
THE FACTOR STRUCTURE OF THE AXIOPSYCHOLOGICAL DESIGN OF THE LIFE ACHIEVEMENTS AT LATE ADULTHOOD

The article studies the specifics of axiopsychological design of a person’s life achievements at his/her late adulthood. The basic psychological features of this age representatives are outlined. It is also essential, as the article emphases, that the structure of a person’s psychological time is changed considerably at late adulthood. The part of the future, which expanded a person’s life space, decreases sharply in the person’s chronotope. In addition, forced reduction of external activities, allows a person to expand and deepen the sphere of internal activities. Attention is focused on the fact that the main concern of a person in this life period should be the development of his/her spiritual sphere, his/her life in the space of the deep existential senses of an individual and humankind to understand the uniqueness of each individual, his/her irreplaceability, which softens the situation of uncertainty, gives the future some meaning. The article states that a person’s ability to design helps him/her to predict, on the probable basis, the results of both his/her own activity and that of other people and events. Predicting the possible degree of any goal achievement, under the conditions of a certain course of actions, is the content of the design process as a determinant of an individual’s life achievements. Within the context of the research methodology, the starting point is the concept on a personality as an integral agent of possible spiritual, moral and other deep transformations and object embodiments of a person; and the principles of subjectivity, value orientations, and teleological principles are the basis for the empirical study of the phenomenon. A particular attention is paid to the empirical research, the results of which are generalized and interpreted in the factor structure of an axiopsychological design of the respondents’ life achievements, represented by twelve components: successful implementation, result orientation, a regulatory resource, futile efforts, dispossession of self-efficiency, comfortable life, inverse femininity, promotion of activities, an external factor, curtailment of social roles, dissatisfaction with self-realization, desire for success. It has been found that the factor structure of the respondents’ value design is dominated by the first two, which can be considered to be the leading ones. &nbsp
Study on Various Approaches used by Security as a Service Model in Cloud Computing Study on Various Approaches used by Security as a Service Model in Cloud Computing

Cloud computing is the way of using remote servers placed on the Internet for storing, managing, and processing data, rather than using a local server or a personal computer.In cloud computing, security and privacy are the major issues.However, there are many challenges for securing the cloud from various attacks.The main responsibility of the Security as a Service model is to provide flexible security to its users to prevent these attacks.The approaches used by the Security as a Service model are SLA based approach via SPECS and Crypto Coprocessor approach for providing flexible security to its users.In this paper, we do a study on various approaches used by the Security as a Service model and to propose a system which provides maximum security to the cloud users.
Secured Cloud Data Sharing With Voice Recognition and Compound Keyword Search

Key idea of the project is to secure the cloud data enabled by compound keywords for the particular data and voice inputs dictated by the system. The idea of the system mainly describes about how a single file is split into four separate folders and securely shared whenever required .the technology used in given process includes voice recognition as the input and splitting the files using the k nearest neighbour algorithm. The advantages of the project is that the file uploaded by the owner is securely handled and maintained by the administrator By partly separating the files and providing each and every one of the files a unique and matching keywords for them this improves the safety of the files as the whole file is separated and accessing them illegally becomes more difficult because when the third party hacker tries to access the principal file components and the related records without the respective subtleties the activity can be easily blocked and the attacker can be sustained and controlled when the unauthorized entry for the first file is detected and the content which was attempted for the access or the contents which were accessed can be easily retrieved as all the other records are untouched the current proposed method and scheme of handling the data from the cloud is very advantageous and safe when compared to the existing method of the data sharing via cloud the existing system states that the data which is uploaded will be stored without any separation and given allocations for them but the files can be easily accessed because they are not given any compound matching keywords for the folders and the locations can be easily accessed by the third party hacker can retrieve the file and permanently have the control over principal content and records
NATURAL USER INTERFACE-BASED CAR INFOTAINMENT CONTROL SYSTEM

This article proposes a natural user interface (NUI) system for the control of infotainment content in a smart car that recognizes a user's emotions and gaze with a 2D camera, an eye camera.The configuration of the system used to recognize a user's emotions and gaze is introduced.The methods for recognizing a user's emotions and gaze are described.An experiment was performed to evaluate the performance of emotions and gaze recognition, and to demonstrate the user performance of the system proposed in this article.
ANALISIS PENERIMAAN SISTEM INFORMASI DAN TEKNOLOGI DALAM PENINGKATAN PELAYANAN DIGITAL LIBRARY DI JURUSAN EKONOMI SYARIAH FAKULTAS EKONOMI DAN BISNIS ISLAM INSTITUT AGAMA ISLAM NEGERI TULUNGAGUNG

The research objective includes the content and formulation of research problems. The purpose of this study is a) to determine the effect of the reception of information systems and technology models in improving digital library services in the department of Islamic economics, Faculty of Economics and Business, Islamic Institute of Islamic Affairs, Tulungagung. b) Produce an acceptance model of information systems and technologies developed to improve the ease of student services. c) Describe the weaknesses found in the information system acceptance model and the technology that has been produced. Path coefficient analysis aims to see the significance of the path coefficient (regression weights estimate) to prove the effect. In the two-way test (two tailed), the results of the significant influence if the significance level of 0.05 value of the critical ratio&gt; 1.96 and with a significance level of 0.01 the value of the critical ratio&gt; 2.58. The suitability of the direction of the path relationship with the direction of the previously hypothesized relationship is also noted, if the direction of the relationship (positive or negative) in accordance with the critical ratio value also meets the requirements, it can be said that the influence of the tested variable has strong support. So it is possible with the existence of educational facilities it will be able to improve learning technology. Keywords : technology aceptance model, digital library
Design and simulation of model-free lag-lead controller for DC motor speed control

This paper presented a new Model-free Controller for speed control of Direct-Current (DC) motors. The design objectives were to combine the benefits of proportional-integralderivative (PID) controllers (simplicity in the structure and the usage) and performances of the advanced controllers such as linear-quadratic regulator (LQR), Fuzzy Logic Controllers (FLC), with the advantage of not depending on the model. The Model free Lag-Lead controller (MFLL) is compared against the Fuzzy, LQR, PI controllers for speed regulation of DC Motor and showed the ability to produce better performances. The MFLL is also easy to design and to tune without any special rule, and can be implemented by non-professional.Key words: Direct current (DC) motor, Fuzzy Logic controller (FLC), Linear-quadratic regulator (LQR), Model-free controller, Proportional Integral Derivative controller (PID).
Social Media Data Extraction Method Benchmarking Comparison

Social media has become more and more widely used nowadays.As the most popular media, a lot of information spread through Twitter, especially given the fact that U.S. President Trump has used Twitter as his main official free news publication outlet.Therefore, social media platforms like Twitter have become the important sources to extract information and then the information could be further analyzed through text analytics models for decision-making problems.In this paper, we first investigate several text analytics methods and then multiple tweets retrieving methods/software will be investigated: Twitter Analytics, Application for Twitter, Python plus Tweepy, and Next Analytics.Seven criteria related to features are applied to compare the methods for ease of use, extraction timing and capability to accommodate big data.Given that our results may be approximate because we might not be able to observe all the capability and features of the software, our results show that Python plus Tweepy method is the most ideal one when applying to big data projects (millions of tweets or above) and real time text data extraction.Next Analytics is the software that could retrieve historical text message in a more convenient way through Excel and is able to trace back further in time period, which could give much better capabilities in social media analysis.
An Information Theory of Language (Digital Linguistics)

Digital Linguistics (DL) is an interdisciplinary study that identifies human language as a digital evolution of mammal analog vocal sign communications, founded on the vertebrate spinal sign reflex mechanism.The author identifies the birth of linguistic humans at the time of the laryngeal descent, which provided vowel accented syllables containing logical properties of phonemes and morae.A character set and literacy is the second evolution.Written text is long lasting syllables in the brain of literate persons, and a civilization started as a linguistic phenomenon.At the end of their biological life, they can write their accumulated knowledge with a character set, so that subsequent generations can share their thoughts and experiences to develop further.In the 21st century, text is available in electronic form, which is interactive against keyword searches.It is time for linguistic humans to integrate disciplinary sciences and correct any errors to establish collective human intelligence.Piaget indicated that concepts can be manipulated correctly based on a group theory, which seems to be a base logic for intellectual evolution of linguistic humans as well as a tool for respectful and productive interdisciplinary discussions.
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations

This paper presents the submissions by Team Dr.Quad to the ACL-BioNLP 2019 shared task on Textual Inference and Question Entailment in the Medical Domain.Our system is based on the prior work Liu et al. ( 2019) which uses a multi-task objective function for textual entailment.In this work, we explore different strategies for generalizing state-of-the-art language understanding models to the specialized medical domain.Our results on the shared task demonstrate that incorporating domain knowledge through data augmentation is a powerful strategy for addressing challenges posed by specialized domains such as medicine.