Reviewerly/exHarmony huggingface dataset:
Faktor Kesulitan Mahasiswa Program Studi Bahasa Korea Sekolah Vokasi UGM dalam Menjawab Soal TEVocS

Decree of Dean of Universitas Gadjah Mada Vocational School no. 10/UN1.SV/SK/2017 regarding graduation requirements for Universitas Gadjah Mada Vocational School students requires a minimum TEVocS score of 60 as one of the graduation requirements. This requirement burdens students, especially the ones other than English Language study program. To be able to graduate, a number of students even had to repeat their TEVocS until they get the required score. This study aims to identify the factors causing the difficulties of UGM Vocational School Korean Language study program students in answering TEVocS questions.This research used quantitative and qualitative approaches. A total of 44 Korean Language study program students became the objects of this study. Students were asked to complete TEVocS simulation and evaluate their performance, specifically related to the factors that caused them feel difficult in answering TEVocS questions. The evaluation was done using questionnaire. The finding shows that, in general, almost all Korean Language study program students found it difficult to answer TEVocS questions. Almost all Korean Language study program students admitted that they had difficulties in both listening and speaking sections of TEVocS. These difficulties were caused by a number of factors.
Emulation of Radius-to-Fix legs in Departure Routes via Fly-By Turns

The results of a preliminary study on the emulation of radius-to-fix legs in turning departures by means of standard track-to-fix legs are presented in this technical note. While radius-to-fix equipage rates keep gradually increasing over time, a traffic mix containing aircraft with and without this navigation capability can impede an optimal management of the traffic flows whenever precise and repeatable curved flight paths are required. After test-flying various sequences of track-to-fix segments to emulate a reference constant-radius arc in a typical departure environment, the deviations to the desired flight path and the flyability aspects were assessed. The first results for a given scenario and aircraft type show an adequate path conformance for a navigation specification RNAV/RNP 1 within a certain range of aircraft performances and weather conditions. However, the reduced predictability of the roll steering when transitioning between track-to-fix segments and the high frequency in the oscillations of the bank angle may pose a problem to flight crews and passengers, respectively.
Flexible Discrete Math offline Test Generator

This article describes the software package representing new math tests generator.The main features of our software are in the focus on creating a high-quality printed product and large variability of the generated tasks. That were achieved by using the LaTeX~text processor and power of the Python language. Logically it consists of the control shell, the task parser, subject logic, formatting system and task database. The logic implements the set of abstractions that can be used in tasks (for example graphs, boolean functions, etc.). The task database exists in the form of JSON files with the specially created task formation language.Currently, the most developed branch in task database is the discrete mathematics problems and abstractions. More than fifty types of tasks were implemented: operations on sets, representation of sets by Euler-Venn diagrams, algebra of sets, various ways of representing graphs, operations on graphs, some problems on graphs, representing Boolean functions in various ways, finding perfect forms, constructing and minimization using Karnaugh maps, Venn diagrams and hypercubes, analysis and synthesis of logic circuits.The task generator can be used by a teacher when conducting practical and control classes, creating individual materials for the students. Tasks can be differentiated by the level of complexity when changing control parameters.The generated tasks were used in education process for more than 1000 students of Military Academy of the Signal Corps and the improvement of mastering of discrete math was shown.
Analisis Kesalahan Berbahasa Bidang Morfologi pada Keterampilan Menulis Karangan Narasi Siswa Kelas VII SMP Negeri 3 Kartasura

This research aims to identifythe analysis of language errors in the field of morphology on narrative essays of grade VII students of SMP Negeri 3 Kartasura. This approach uses a classroom action research. The type of research is qualitative research with descriptive method. Data collection is done by observing and using the method of documentation, taking notesand tests. Based on the result ofidentification of errors that have been obtained, then processed through technical data analysis work. The data obtained by the technique of reading each essay by students’ VII grade and taking note the use of the error language. Based on the results of research on writing a narrative essay in the field of morphology by identifying essays of grade VII students of SMP Negeri 3 Kartasura and identify based on the type of error. The type of errors found in grade VII students’ essays are,the error writing prepositionals, the error use of prefixes, the error dispel of prefixes, the error use of confixes and the error writing of suffixes.
The Kupyna hash function application to SPHINCS+ signatures

In recent years, there has been a substantial amount of research on quantum computers – machines that exploit quantum mechanical phenomena to solve mathematical problems that are difficult or intractable for conventional computers. The possibility of quantum attacks formed a new chapter in cryptology field – postquantum cryptology, where DSA schemes became one of the main research vectors. The most representative samples are schemes based on hash transformations. Hash-based signature schemes were developed as one-time signature schemes in the late 1970s by Lamport and extended to more signatures by Merkle. In further more complicated schemes were introduced. NIST declared about the competition of new postquantum standards both for encryption (key generation) and signatures As for the 2nd round there are 9 Digital signature candidates. SPHINCS+ (former SPHINCS) is in the list. The algorithm can be briefly described as a stateless hash-based signature scheme. It uses many components from XMSS but works with larger keys and signature to eliminate state. The scheme can be used with different hash functions. The main goal of this paper is to analyze the application of the national standard hash function the scheme of the NIST submission candidate SPHINCS+. The research showed the national standard hash could be applied to the seed randomness generation and hashing the input message. Since Kupyna function returns fixed-size output, its application looks similar to SHA-256 hashes.
PENERAPAN METODE MODULUS FUNCTION (MF) UNTUK PENYISIPAN PESAN PADA CITRA DIGITAL

Steganography is the science and art of hiding (embedded) information by inserting secret messages in other messages. Steganography in the field of information technology is highly developed, namely for digital devices. Information or messages that can be hidden varies, as can messages that are embedded objects. Variations of messages that are normally subject to insertion objects are text messages, picture messages, audio messages, and video messages. The steganography method used is the Modulus Function (MF) method. This method can insert more messages into pixels that have high contrast values. The research conducted is applying the Modulus Function (MF) method for inserting messages into image files. Based on the test results, it can be concluded that by using the Modulus Function (MF) method, the capacity of the image to insert a message is smaller than the image size, the processing time in this method is quite fast, the image quality after inserting a message has good quality, but this method is also still good. has disadvantages, because it is not resistant to manipulation and in some images are still detected by the matlab application.Keywords: Steganography, Implementation, Modulus Function (MF), Image file.
Unified Structured ID and Orthogonal Information Retrieval Technique on Chatroom-style Real-time Messaging Platform for Industrial Internet of Things

The Industrial Internet of Things (IIoT) has rapidly become a popular concept, but this concept has caused problems in managing consistent identifiers. To solve these problems in control system management, we propose Structured IDs, which can define the complicated structure of control systems using IDs on a tree structure, and relational links, which can describe meaning for subsets of structured IDs. Furthermore, in use cases in which consistently managed information is utilized, a method of distributing appropriate information to each stakeholder is required. To address this requirement, we propose an orthogonal information retrieval technique for Structured IDs. Finally, we verify that the proposed techniques can be implemented using web technology and demonstrate that they can solve problems in an IIoT use case.
Disk-Less Network Implementation using Cyberindo Program (Case: BAHONET2 Siantar Game Center)

The hard disk device used on the personal computer (pc) client at the game center, however, must have decreased durability because it is used continuously as in the BAHONET2 Siantar game center. This problem can be overcome with various solutions, but the authors prefer the diskless network method using the Cyberindo program as a solution to the problem. The author begins to design the diskless network in question, which is a windows-based application that is used to run, configure, and perform diskless processes through the server. Before the design is done, the authors identify problems that arise in the system that was previously used. This is done in order to avoid various errors on the old system in system implementation so that the results obtained are more optimal. After being implemented, the authors conclude that the diskless system using the Cyberindo program can reduce the use of local hard disks and also faster client performance, the client can be operated properly like using a local hard disk. Also there is no need to update the game manually on each client, we only need to update the game on the server so that all clients can automatically play the updated game.
Improving Motivation English Learning By Implementation Savi Approach at PGSD Students

This research aims at finding the Elementary Teacher Education Program students', the motivation of the student in learning English by the implementation of SAVI approach (Semiotic, Auditory, Visual, and Intellectual) in English Learning.The research employed experiment design.There were 26 students participated in this research.The instrument used in this research questionnaires, observations, and test.The research report illustrations the student motivation toward English learning by implementation SAVI approach.The analyzed the data show that motivation the students in control classes average 79, 62% in medium category and in experiment class average 88, 38% in high category it has increase motivation in learning English, from the data analysis it was obtain t table (2,336 > 2,008) t account with α = 5% and df = 50, Therefore, there was significant influence of using Somatic Auditory Visual Intellectual (SAVI) Approach toward students' motivation in learning English.
A Study of Analyzing Shape Similarities Between the Arm Model of Mongolian Buddha Statues for Archaeological Applications

Analyzing body shape similarities between Tara statues of Zanabazar is worthwhile since researchers have assumed that the bodies of several statues were molded from the same template. This paper provides a novel and easy methodology for analyzing shape similarities between point clouds from two different Tara statue arm models, for the archaeological application. The methodology has two main steps. In the first step, individual body parts were reconstructed without decorations on it, using the previously proposed methods. The second step, the main contribution of this paper, is to evaluate shape similarities between point clouds of the two different arm models. The proposed methodology was tested on arm parts of Mongolian Buddha statues, and similarities between different, undecorated arm models were examined, using the proposed method and established point-to-point error metric, which showed that the proposed methodology was reliable and effective, in this application.
Personal Self-Actualisation And Coping Strategies Of Technical And Humanitarian Students

This article addresses the problem of studying personal self-actualisation and coping strategies of students in an exam environment. The results of an experimental study of gender and professional differences in the use of coping strategies during an exam are presented. Analysis of the results obtained on the basis of the self-assessment of typical mental states in the exam situation showed that the degree of emotional distress for students of both sexes and both professional profiles is slightly above average. The results of the study of coping strategies of students in stressful situations have shown that they most often use problem-oriented strategies and avoidance-oriented strategies. Most of the students, based on self-assessment, demonstrate a constructive style of behaviour in difficult life situations and prefer a strategy for solving problems. The avoidance strategy is also dominant in student preference. It is characterised by an attempt to avoid contact with a stressful situation and avoid problem solving. The results of diagnostics of coping methods that are typical for students in the examination situation are presented. For the first time, the differences in coping strategies of technical and humanitarian students are investigated in connection with the personal self-actualisation peculiarities. Psychological testing methods are applied in the research. The correlations between the indicators of coping strategies and students personal self-actualisation are revealed.
Decision Support System In Determining Class On Accupuncture Clinic

The process of determining promotional class in acupuncture clinics is very common.Clinics also have data i.e form of primary data and customer secondary data.This happens repeatedly and generates a build up of customer data that affects information retrieval of the data.This study aims to grouping the clinic customer data in which those who are a greater contribution value get a valuable promotion as well.The Acupuncture Clinic uses decision support system by utilizing data mining process by using Clustering technique.The method used is research action through Diagnosing process, Action planning, Action taking, Evaluating, Reflection.The algorithm used for cluster formation is the K-Means algorithm.K-Means is one of the non-hierarchical clustering data methods that can group customer data into multiple clusters based on the similarity of the data, so the customer data with similar contribution values are grouped in one cluster and those with different contribution values are grouped into other clusters.Implementation using PHP is used to find accurate values.Attributes used are customer earnings, total clinical outcomes, repeat visits, product purchases, needle types and therapists.The customer cluster formed is four clusters, with the first cluster 5 customers, the second cluster 9 customers and the third cluster a total of 6 customers and the fourth cluster there are 5 customers.The results of this study are used as one of the basic decision-making to determine promotion based on the clusters formed by the administration of acupuncture clinics.
The Effect Of Using Colored Clip Media On Student Learning Outcomes In Mathematics Learning Class Iii Sd Inpres Btn Ikip I Kota Makassar

This study aims to describe the use of colored pieces of media and learning outcomes and determine their effect on Mathematics Subjects of Class III SD Inpres BTN IKIP I Makassar City.In this study using a quantitative approach, as for the type of research used is experimental research.The population in this study was the whole class III using the sampling method that is simple random sampling where class III A numbered 34 students and class III B totaled 32 students with a total sample of 66 students.Data were collected using research instruments in the form of test questions.The data analysis technique used is the Independent Sample t-test.The results showed that there was an influence of the use of colored pieces of media on student learning outcomes in mathematics class III SD Inpres BTN IKIP I Makassar City.
SQL to SPARQL Conversion for Direct RDF Querying

With the advances in native storage means of RDF data and associated querying capabilities using SPARQL, there is a need to let SQL users benefit from such capabilities for interoperability objectives and without any conversion of the RDF data into relational data.In this sense, this work present SQL2SPARQL4RDF an automatic conversion algorithm of SQL queries into SPARQL queries for querying RDF data, which extends the previously established algorithm with relevant SQL elements such as queries with INSERT, DELETE, GROUP BY and HAVING clauses.SQL users are provided with a relational schema of their RDF data against which they can formulate their SQL queries that are then converted into SPARQL equivalent ones with respect to the provided schema.This avoids the birding of translating instances and data replication and thus saving loading times and guaranteeing fast execution especially in the case of massive amounts of data.In addition, the automatic mapping framework developed by the java programming language, and implement many new mapping functionalities.Furthermore, to test and validate the efficiency of the mapping approach and adding a module for automatic execution and evaluation of the various obtained SPARQL queries on Allegrograph.
An Improved Auto-encoder Based on 2-Level Prioritized Experience Replay for High Dimension Skewed Data

Auto-encoder as the representative method for data dimensionality reduction and feature extraction, plays a very important role on machine learning. However, the data in the actual research work or industrial production are not always normalized data, at this time, it will lead high reconstruction error and slow convergence speed. This study proposed an improved auto-encoder and a denoising auto-encoder based on 2-level prioritized experience replay, which can improve accuracy and reduce loss, while processing a dimensionality reduction or feature extraction problem on high dimension skewed data. In order to evaluate the effectiveness of the proposed method, three models of high dimension simulation dataset which on different skewed degrees are generated. The results of evaluation experiments show that the proposed method can get lower reconstruction error than conventional method for high dimension skewed simulation data.
PENERAPAN K-MEDOID PADA RUMAH TANGGA YANG MEMILIKI SUMBER PENERANGAN LISTRIK PLN BERDASARKAN PROVINSI

Electricity has now become something that is very much needed in daily life, every household has used PLN electricity lighting sources. However, there are also some regions in Indonesia that have not been able to enjoy good and even electric lighting. The data source used from the Indonesian Statistics Agency website is the Percentage of Household Data by Province and Treatment, 2013-2014. This study aims to classify households that have a source of electricity for PLN using the datamining algorithm with K-Medoid. The data is processed into 2 clusters, namely high level clusters (C1) and low level clusters (C2). Where the results of this study concluded from 33 provinces in Indonesia that the cluster level of low waste sorting behavior (C1) obtained 11 provinces namely Aceh, Kep. Bangka Belitung, DKI Jakarta, West Java, Central Java, DI Yogyakarta, East Java, Banten, Bali, West Nusa Tenggara, and North Sulawesi and 23 other provinces are included in the low-level cluster (C2).Keywords: Electricity, Datamining, K-Medoid, Clustering, Household Sources
Bioethical Debate, Reflections and Standards. Urban Bioethics spotlight

The process of creation of a new direction in bioethics - urban - is extremely important in the global world. Ukraine, as a post-socialist country, is a perspective field for urban researches. On the one side, it has a bright, specific culture, and on the other, the “invisible” citizens, whose voices remain unheard during the transformational modern conversions. Participation in the conference on May 17-18, in Rijeka, is an opportunity to study the experience of different countries, different economic systems, etc. to increase attention and understanding of the cultural and value context on the example of the particular urban cases. The analysis of the conference does not pretend to enlighten the contents of the conference comprehensively, but rather to highlight the own impression of participation and to encourage discourse in the field of new bioethics direction.
sqad 3.0

Simple question answering database version 3 (SQAD v3) created from Czech Wikipedia. New version consits of 13477 records. Each record of SQAD consist of multiple files - question, answer extraction, answer selection, ulr, question metadata and in some cases answer context.
Identification and Assessment of the Effectiveness of Instruments Children with Special Needs Based Decision Support System (DSS) Disorders in Children with Physical and Motor Disabilities

This article is part of a research and development aimed at develop the instrument identification and assessment of children with motor disorders based decision support system (DSS). This study aims to determine the effectiveness of the instruments of identification and assessment of children with special needs (ABK) based DSS in children with physical and motor disorders .The research was conducted in 10 districts / cities in Central Java province, which is taken by purposive sampling in 16 schools (SLB) and Inclusive Schools and the sample of 40 teachers. Collecting data using DSS application eligibility questionnaire instrument for the identification and assessment of children with physical and motor disorders. The use of questionnaires after teachers applying / using software identification and assessment instruments based DSS in children with physical and motor disorders. Feasibility DSS application instrument for identification of children with physical and motor disturbances seen from the aspect Visible, Interesting, Simple, Useful, Accurate, Legitimate, Structure. Methods of data analysis using quantitative descriptive technique.
PENERAPAN ALGORITMA EVEN-RODEH PADA APLIKASI KOMPRESI FILE GAMBAR

Some image files are very large in size. So it requires a large memory storage capacity too, this is certainly a lot of costs that must be spent on the storage media. With the existence of a very large image file size in the process of sending image data files can fail because the storage media exceeds the maximum limit. The above problems can be overcome by performing the process of compressing large image files into small sizes or can reduce the bit size contained in each image file thereby saving storage containers and simplifying the process of transferring image files to other storage media. The solution to this problem is how the image file can be compressed in order to speed up the transfer and storage of image files. Image file compression aims to reduce or reduce the size of the file but does not eliminate the information data in it. With the compression technique, the data was initially large so that the size of the data can be reduced so as to save storage allocation space. In this study using the Even-Rodeh Code algorithm, using the method results in very good compression in tramisi data and transfer of image file allocation easier and faster.Keywords: Image File Compression, Event Rode Code Algorithm