Reviewerly/exHarmony huggingface dataset:
Sistem Reservasi Jadwal Jasa Medis Fasilitas Kesehatan Kelas Satu Menggunakan QR Code Berbasis Android

This research aims to establish a reservation system or reservation schedule for health services in the health facility class one. This system uses qr code technology to identify health service schedule orders made by users. This system consists of a laptop webcam that functions as a device for reading data in QR codes, Arduino Uno microcontroller as a data processor for reading QR code results, an MP3 player module as a device for storing sound output, speakers functioning as sound output devices for reading QR codes and Android application as a system interface for ordering health service schedules in health facility class one and accessing databases. Ordering a health service schedule starts with the selection of the service schedule by the user on the android application, then the user will get a qr code as proof of the order made to identify the sequence that will later be read by the webcam laptop and the results processed by Arduino followed by the voice output from the speaker. This study shows the success rate of the system in making online schedule bookings by 100%. In the process of identifying the QR code using a webcam with bright lighting conditions it has a 100% success rate and with a reading range of 11-20 cm a 90% success rate is obtained. In testing, the sound output from the speakers obtained a success rate of 100%.
Demonophobia pada Tokoh Kusano Tetsuya dalam Novel Bonus Track Karya Koshigaya Osamu

This research is titled "Demonophobia in Kusano Tetsuya's character in Bonus Track’novel by Koshigaya Osamu". This study aims to determine the symptoms and ways to overcome demonophobia in Kusano Tetsuya’s character. The method used descriptive analysis method. The theory used literary psychology that proposed by Ratna (2006) and the theory of specific phobia proposed by Hogan (2004). The analysis of fear or anxiety that occurs to Kusano can cause adverse effects on daily life. Based on the results of the analysis it can be concluded that someone who experiences demonophobia has problems that can be cured with symptoms that suffer. Changing mindset is an influential step for Kusano Tetsuya in an effort to overcome the demonophobia because at that step makes Kusano slowly to recover from his phobia.&#x0D; &#x0D;
Motivation and Confidence of Pre-Service Teachers to Use English as Medium of Instruction during Teaching Practicum

Motivation and confidence in language teaching have always become interesting things to be observed. This study was intended to give a complementary views related to what factors might contribute to the ups and downs of how Pre-Service Teachers of English struggling to finish their teaching practicum at schools. Some supervising teachers at schools were requested to recall their memories and reopen documents about PSTs who ever conducted their teaching practice there. Their comments on how PSTs performed their instructions in the classroom might give solution to less-motivated and low confident PSTs. As a result, some courses at Tarbiyah Faculty which were given before PSTs having their teaching practicum need to be evaluated and revised.
Pamuktaki Yabancı Elyafların GPU ile Hızlandırılmış Sezgisel Bulanık Mantık ve Otsu Algoritmaları ile Tesbiti

The foreign substances, arising during the production and shaping of wool and cotton raw materials that are used in textile and cotton gin factories or coming from the outside, decrease considerably the quality of the obtained fabric or yarn. Nowadays, a different methods are used to separate foreign substances in the textile sector, most of these methods are not efficient in terms of speed and quality. Computerized vision systems play a vital role in the field of textiles as in other fields. In this study, Intuitionistic Fuzzy Algorithm is used to define the foreign substances in the images that obtained from a camera. CPU (Central Processing Unit) based applications have speed problems due to the structure of the algorithm. For this reason, GPU (Graphics Processing Unit) technology was used to overcome the speed problem. The otsu algorithm generates a dynamic threshold from the numerical values of the image obtained using the Intuitionistic fuzzy algorithm. By this means, the threshold value of each frame obtained from the camera was calculated on real time and implemented on the image timely. These algorithms were accelerated maximum 262 times using NVIDIA GTX 480 GPU supported display card.
Improving Adaptive Learning Rate With Backpropogation on Retail Rice Price Prediction in Traditional Markets

Rice is the most important staple food and carbohydrate food in the world especially people in Indonesia. This study aims to predict the retail price of rice in traditional markets using backpropogation by improvising Adaptive Learning Rate to increase the value of accuracy. Data sources were obtained from the Central Statistics Agency (BPS) in 33 provinces in Indonesia for the retail price of rice in the traditional market (Rupiah / kg) for the past 6 years (2011-2016). The results of the study state that the improvised learning rate uses 2 models: 2-10-1 and 2-15-1 (LR= 0,1; 0,5; 0,9) that the best architectural models are 4-15-1 (LR= 0.9) with an accuracy of 82%, Training MSE 0,000999936, Testing MSE 0.016051433 and Epoch 20515. The results of this study are expected to provide input to the government in providing input on predictions of retail rice prices that have an impact on the stability of rice prices in Indonesia.
Applications of Fuzzy Logic in Education System

Indian Education System is one of the best education system in the world. There are so many school, colleges and universities which are responsible for giving better future to the students. With the responsibility of giving best career and bright future, there is very big challenge also to evaluate the students according to their skills and knowledge. In the today’s world we need one assistant which can help teachers and students to take decisions and guide them for better results.
Fuzzy Gain Scheduler Based Path Tracking on Image Plane for XY/Z Partitioned IBVS System

Image based visual servo (IBVS) system is meaningful in industrial scene. Path tracking on image plane in IBVS system is an important research topic. In this paper, we propose an XY/Z motion partitioned IBVS system, in which a fuzzy gain scheduler is combined to enable the feature points to track specified path on the image plane. The simulation results prove the effectiveness of our method, and the tracking errors are limited in 5 pixels.
PROBLEM OF KNOWLEDGE, FREEDOM AND HUMANISM IN RESEARCH I.V. BUCHKA IN SOVIET PERIOD

prOblem Of KnOwledge, freedOm And humAnism in reseArch i
MENGKLUSTER JUMLAH KABUPATEN/KOTA YANG MELAKSANAKAN KAWASAN TANPA ROKOK (KTR) DI 50% SEKOLAH MENURUT PROVINSI DENGAN K-MEDOIDS

A non-smoking area (KTR) is a room or area that is declared prohibited from engaging in smoking, producing, selling, advertising, promoting, or promoting tobacco products. The problem of smoking is still a national problem that needs to be continuously addressed, because it involves various aspects of problems in life, namely economic, social, political aspects, especially health aspects. It is estimated that more than 40.3 million children live with smokers and are exposed to cigarette smoke in their environment and are referred to as passive smokers. Meanwhile, we know that children who are exposed to secondhand smoke can have an increased risk of developing bronchitis, pneumonia, middle ear infections, asthma, and slowed lung growth. This early health damage can cause poor health in adulthood. Even non-smoker adults who are constantly exposed will also have an increased risk of lung cancer and other types of cancer. K-Medoids Clustering Algorithm is one algorithm used to group data.The data used are the data of 34 provinces implementing non-smoking areas obtained from the Indonesian Health Office. The data will be grouped into two clusters namely high and low clusters. The results obtained are expected to be input to the relevant agencies in implementing the non-smoking areaKeywords : Data Mining, K-Medoids, Clustering, non smoking area.
A Robust Optimization Approach of SQL-to-SPARQL Query Rewriting

In order to ensure the interoperability between semantic web and relational databases, several approaches have been developed to ensure SQL-to-SPARQL query transformation direction, but all these approaches have the same weakness.In fact, they convert directly the input SQL query to its equivalent SPARQL one without any pre-processing phase enabling the optimization of this input query filled by users before starting the conversion process.This weakness has motivated us to add a pretreatment phase aiming to optimize the most important SQL statements which seem to have the biggest impact on the effectiveness of the transformed queries.Our main contribution is to enrich these rewriting systems by adding an optimization layer that integrate a set of simplification rules of Left, Right and Full Outer Join in order to avoid, firstly unnecessary operations during the conversion process, and secondly SPARQL queries with a high complexity due to Optional patterns obtained from outer join in this conversion context.
Solution of the Problem of Restoring Discontinuous Functions by the Minimax

The article suggests a method for approximating a function of one and two variables with discontinuities of the first kind by a discontinuous approximation spline. The experimental data are the one-sided boundaries of the given nodes. To solve this problem in this paper, we use the minimax method
Klasifikasi Gelombang Otot Lengan Pada Robot Manipulator Menggunakan Support Vector Machine

Robotics technology is growing.Many people innovate to help their activities, including making manipulator robots to take items in dangerous places or move items with very high precision.In this study a manipulator robot was designed to help patients who amputated their wrists to grip and un-grip.Electromyography (EMG) sensors can record electrical activity produced by skeletal muscles in the form of signals that present muscle movements.In this study, the electromyogram was extracted to get the Root Mean Square (RMS) and Mean Absolute Value (MAV) features then classified using Support Vector Machine (SVM).The SVM method was chosen because it was able to find the best hyperplane as a separator.The controller used is Arduino which instructs the servo motor to move the manipulator robot according to the classification results.The application of the Support Vector Machine (SVM) method which has a linear type has a fairly good accuracy with 80% success in testing with subjects who have taken sample data and 60% success in testing with subjects who are not taken sample data.
Technological and Socio-communication Aspects of Establishment and Development of Mobile Services in Ukraine

The article explores technological and social prerequisites of functioning and developmen of mobile services, which become an integral part of modern society. It has been proved that the development of wireless data technologies and an increase in the speed of information transmission have led to the active use of mobile devices, which have been extensively distributed in recent years around the world.It has been found that improving of mobile communications and reducing the cost of using it is an important prerequisite for the expansion of mobile services. There is a trend towards increasing demand among users for high-speed Internet access. The level of penetration of the Internet in Ukraine and the number of active users of mobile Internet are highlighted.It is substantiated that the important prerequisite for the emergence of mobile services is the rapid and continuous improvement of mobile phones (smartphones) and their capabilities. The growing of smartphones popularity is actualizing and stimulating the development of mobile services, among which mobile applications are at the forefront. It is proved that the use of various applications extends forms of access to information resources, significantly affects the volume and speed of data transmission, what in turn, acts as one of the conditions for the functioning of mobile services.The essence and preconditions of digital competence formation in the context of development of global trend of digital transformation of society and activation of use of mobile services are revealed. The role of education in this process is identified. The necessity of constant development of digital competences, formation of digital culture and support of organization of training by state authorities as the main initiator and strategist of formation and realization of human capital are substantiated. The relevance of the inclusion of library institutions as possessing resource and image capital to the process of formation of digital culture is proved.
Testing System for Determining the Professional Orientation of Entrants

The purpose of the article is to study and consider common problems of vocational orientation of entrants, to determine the main criteria for determining a person’s compliance with a particular area of activity, to develop a system that is used to organize and manage the career-oriented process.Research methods are methods of decision-making support theory, psychological methods of determining professional suitability. In the article the approaches to creation of systems of testing and analysis of the obtained results are considered in order to form a conclusion about the optimal conformity of a person to a certain profession.The novelty of the conducted research is the proposed approaches to the development of vocational testing system for the choice of profession oriented both for students who are facing the choice of future profession and for people who want to change the field of activity during life. The criteria for creating a testing system based on a comprehensive approach to determining both the psychological suitability of a particular profession and the ability to acquire certain professional knowledge and skills are defined.The conclusion of the research article is that the developed testing system is aimed at determining the professional abilities of applicants (interviewers), as well as to diagnose the professional orientation of school graduates who do not have work experience yet. It combines the analysis of the motivational sphere, personal qualities and intellectual abilities within the diagnostics of professional inclinations. The test itself consists of three blocks: the first block diagnoses the sphere of interests, the second block is aimed at determining levels of development of different abilities – factors of mental activity, and the third is focused on the identification of personal qualities. By the way, the test results in the distribution of students to profile classes.
Design and Implementation of IR System for Tigrigna Textual Documents

Nowadays, various amount of information's are available on the internet.To search relevant documents from the internet development of information retrieval system or search engines is necessary.Therefore, this paper deals with development of Information Retrieval system for Tigrigna textual documents.It helps to find relevant documents from the internet, which are stored in Tigrigna language for the Tigrigna language users to satisfy their information need.The system includes two sub systems those are indexing and searching part.The indexing part is the process of organizing filtered Tigrigna documents using keywords extracted from the entire Tigrigna collection or corpus.It is an offline process carried out by the producers or authors world to speed up searching of information from the entire document as per users query.Searching is the process of scanning documents to find relevant documents that matches to the users query or information need.It is an online process mostly carried out by the users or readers world.Vector space model techniques was applied to implement this system.Vector space model is the most core information retrieval technique used to calculate similarity measure between the query and the documents finally it ranks the most relevant documents to the given query according their similarity score in descending order.According to this, the retrieval system was tested and the experimental results of the system in Tigrinya documents returned an encouraging and promising result.The system has registered, 70% precision and 84% Recall.
Supplementary English reading material for the eighth-grade students

The objectives of this research are to develop supplementary reading material for the eighth grade of MTs Negeri 1 Bantul and to reveal the efficacy of the developed additional materials for the eighth grade of MTs Negeri 1 Bantul. The research belongs to the educational Research and Development (R &amp; D). The subjects of the study were the eighth-grade students of MTs Negeri 1 Bantul. The study adapted the R &amp; D model proposed by Borg and Gall (1983). The steps of the study were conducting a needs analysis, designing a course grid, developing the materials, having expert judgment, conducting field testing, revising the elements, and writing the final product. The data were taken from document analysis, observation, and interview. The data were analyzed and described qualitatively. The result of the research showed that (1) the supplementary English reading materials developed based on the need analysis. It was used for determining the objective, indicators, and varied reading tasks and activities of the supplementary materials. The reading tasks were presented in various forms, namely true-false questions, completing sentences, multiple-choice questions, jumbled words, and jumbled sentences that developed based on Three Phase Technique steps. Each Unit consisted of three main parts: “Time to Start, Time to Learn, and Time to Check”. The varied tasks gave the students the opportunity to improve their reading comprehension. In other words, the supplementary English reading material was useful and appropriate to be implemented for the eighth-grade students of MTs Negeri 1 Bantul. (2) The efficacy of the additional English reading materials could be described as the learning process that helped students achieve their needs, to have broad experience in learning the language, to attract the students’ attention and involvement, and to improve student’s reading comprehension. It also provided additional learning sources for the students.
AFFIXATION, REDUPLICATION IN DESCRIPTION TEXT OF THAILAND EXCHANGED STUDENTS

The purpose of this research is to describe the form of affixation interference and reduplication of Indonesian language in description text of Thailand exchanged students who learned Indonesian Language in Indonesian Education and Literature department (PBSI), University of Muhammadiyah Tangerang. This study used a qualitative approach with content analysis research method which aimed to explain and interpret the data systematically, thoroughly, and the relationship between the events investigated. The content analysis is a method which is conducted by making inference contextually. The sources of data related to this research language and Literature is morphological interference in description text of Thailand exchanged students learned in UMT. The data collection techniques were gained by observation and document studies. The document study was in from the students’ description text. The result of this research is assumed to be very important since the affixation interference must be handled as early as possible, especially in the world of interference education. Interference is a violation in Indonesian language. How to prevent the spread of interference is to conduct research that occurs in the world of education and fix it as early as possible.
Overview of Modern Messenger Systems

The purpose of the article is to investigate and address common problems of such an important sphere of information activity as communication between users (Internet communication) with the help of special services – messengers.Research methods are methods of semantic analysis of the basic concepts of the subject area of communication through messengers (Internet communication). The article discusses the advantages and disadvantages of existing messengers related to organizational, technical and informational aspects. The article discusses the main messenger systems and their functionality.The novelty of the conducted research is a comparative analysis of modern messenger systems, determination of their advantages, disadvantages and ways of further development.The conclusion of the research article is that information and digitalization nowadays penetrate into all spheres of activity of IT-business. Therefore, finding ways to provide effective, comfortable and convenient communication for mobile and PC users has become an important aspect of the IT business.
ADSORPSI-DESORPSI ZAT WARNA NAFTOL BLUE BLACK MENGGUNAKAN ADSORBEN HUMIN HASIL ISOLASI TANAH GAMBUT RIAU, SUMATERA

Adsorption-desorption of naphtol dye had been done by using humin adsorbent wich was taken from peat isolation in Riau, Sumatera.The adsorption method had not completely solved the environmental issue because the adsorbent that had been used could be a new waste, so the desorption process was needed for the adsorbent could be reused.The adsorption percent value of naphtol blue black dyes in this study was 75.91%.The desorption process used NaCl with some concentration varieties of 0.1, 0.2, 0.3, 0.4 and 0.5 M, and desorption of optimum naphtol blue black dyes at a concentration of 0.3 M with desorption yield percentage of 11.65%.
Hybrid-Order and Multi-Stream Convolutional Neural Network for Fine-Grained Visual Recognition

Fine-grained visual recognition is challenging since the inter-category differences are more subtle compared with the conspicuous intra-category variations. Bilinear pooling that captures the second-order statistics of convolutional features has proved to be effective in such tasks. Since common bilinear methods neglect the original shallow feature information extracted from basic convolutional neural networks, we introduce a novel weakly supervised Hybrid-order and Multi-stream Convolutional Neural Network (HM-CNN)to address this problem. The model applies multi-scale fusion to integrate feature maps at all scales, and then employs hybrid-order pooling to combine the first-order statistics with the second-order bilinear features across spatial locations. Additionally, a cross multi-stream framework built on three basic networks is utilized to enhance the robustness of our model. Results demonstrate that the HM-CNN significantly improves the accuracy by 1-3% than the state-of-the-art models on three popular fine-grained recognition datasets.