Reviewerly/exHarmony huggingface dataset:
DATA MINING MENGGUNAKAN ALGORITMA C4.5 UNTUK MEMPREDIKSI KEPUASAN MAHASISWA TERHADAP KINERJA DOSEN DI KOTA BATAM

The University is an institution of higher education and research that provides academic degrees in various fields. One of the vision and mission of Higher Education in the city of Batam is to become a leading tertiary institution and to carry out high quality education with the aim of producing quality graduates and competent human resources in their fields. One of the influencing factors is the lecturer performance. This study aims to determine the level of student satisfaction that is influenced by lecturer performance in lectures with data mining techniques using the C4.5 algorithm where the variables used include reliability, responsiveness, appearance, empathy and assurance. The research objective is to predict the level of student satisfaction with the performance of University Lecturers in the city of Batam in the teaching and learning process. The benefit of this research is to find out the performance of a College Lecturer in order to produce quality teaching staff and quality education. Data Mining with C4.5 Algorithm, the process of classifying data and looking for patterns so as to produce interesting information in data in decision making. Based on the results of research conducted, the decision tree with manual calculation of the C4.5 algorithm is the same as the decision tree produced by Weka software with the resulting accuracy level of 94.12%. Then it can be concluded the prediction of student satisfaction on the lecturer performance is satisfied.
The Emotional Experience of Students during Covid-19 on English E-learning in 8th Junior High School

The Covid-19 pandemic that has spread throughout the world has caused schools, universities to temporarily close and requires them to carry out teaching and learning activities at home with online or e-learning.This study focuses on exploring what emotions that students felt, the obstacles of e-learning that affect their emotions, and strategies that they used to overcome the obstacle.The research design that this study used is a narrative inquiry by collecting data through semi-structured interviews.The results of this research shown students felt both positive and negative emotions.They felt joy and excitement at the beginning but later they felt negative emotions such as anxiety, fear, stressed for learning alone without a teacher, and fell isolated.Those negative emotions provide some problems for students' learning include internet connection problems, demands for time management, and difficulty to communicate with teachers.Therefore, students also have strategies such as learning for better understanding, finding some fun activities to relieve stress when learning at home.Then, with all the problems and emotions that students felt, they prefer face-to-face learning to E-learning.
Customizing a methodological approach

Abstract This article presents the initial definition and subsequent adaptation of the research methodology adopted in Marco Fusi’s investigation of the creative process of the Italian composer and poet Giacinto Scelsi. The method adopted is purposefully designed with a decreasing degree of definition, to allow for the emergence of an efficient research strategy based on the early findings of the process. This organic approach has led to the definition of significant creative outcomes, useful for the development of the performance practice of Scelsi’s works.
Prediction Power of Diploma Value Against Academic Achievement of Students on Health Polytechnic of Semarang

In the field of education, there is a routine that occurs every new academic year, in which each university has a new student admission process with a different recruitment system. The Poltekkes of the Ministry of Health in Semarang conducted a screening of students from the Interest and Achievement Tracking (PMDP), Sipenmaru and Independent Pathways. In this recruitment system, a certificate, although it is used as a mandatory administrative requirement when registering, has not been fully utilized in an effort to predict student academic achievement. Actually, the value on a diploma can provide a more complete picture of a person's academic ability, because it is a reflection of the learning process that is followed during school because it is a combination of the average grades of grades 1, 2 and 3, school exam scores and national exam scores. The research objective was to analyze the effect of the average value of a diploma on the cumulative academic achievement index (GPA) of semester I-IV students at the Poltekkes Kemenkes Semarang. This type of research isresearch correlational and regressioninvolving respondents from Diploma 3 (D3) and Diploma 4 (D4) students in odd and even semesters of the 2019/2020 Academic Year at the Poltekkes of the Ministry of Health in Semarang, batch 2019, 2018, 2017, and 2016. The data were collected using observation sheets and the collected data were processed using usingcorrelation analysis pearson product moment and linear regression to determine the relationship and influence of independent variables with the dependent variable. Results There is a significant influence on the average value of a diploma on the cumulative grade point average (GPA) of D3 and D4 students of the Health Polytechnic of the Ministry of Health Semarang in 2016, 2017, 2018, and 2019. It is proven that the results of the calculation of rxy are greater than the r table both at the level of significant 5% and a significant level of 1%, with r count of 0.315 while r table of 0.20 and 0.40. and has a determination coefficient of 0.099. The effective contribution given by the variable the average value of the diploma to the cumulative grade point average (GPA) of D3 and D4 students in 2016, 2017, 2018, and 2019 was 9.9%. and 90.1% is influenced by other variables not examined. Suggestions for admission of Polkesmar students should consider taking from high school graduates with good average diploma scores. In addition to increasing the accreditation value of each D3 and D4 Study Program, as well as improving infrastructure both software and hardware, while still increasing the human resources of education practitioners, as well as all parties responsible for the implementation of education.
A Study on Program of Developing Communicative Competency in Music Education

본 연구의 목적은 2015 음악과 교육과정에서 제시된 ‘음악적 소통역량’의 개발을 위한 교수·학습방법을 개발하여 제안하는 것으로서 음악적 활동을 통하여 표현과 공감, 소통의 능력을 개발시키고자 프로그램을 고안하였다. 선행연구 고찰을 통해 음악수업에서의 소통 개발 교수학습방법을 추출하여 다양한 영역과 통합적 활동의 수업을 설계하였다.‘음악으로 전달해요,‘음악을 표현해요, ‘음악으로 나눠요’의 세 가지 주제를 가지고 음악 수업을 구성하였고 각각의 수업은 탐색-표현·공감-소통의 세 단계로 설계하였다. 수업을 통해 학생들은 음악적 소리를 가지고 자신의 감정을 전달하고 음악의 느낌을 다양하게 표현하며 자신의 생각을 전달하는 소통의 방법을 체험하고 학습자 주도의 협동학습으로 발표와 토론의 과정을 통해 동료학습자와의 소통능력을 개발하였다. 개발된 지도안과 활동지는 전문가 집단의 검증을 통해 긍정적 피드백을 받았고 최종 수정, 보완되었다. 본 연구를 통하여 미래 사회의 구성원으로서 중요한 소통 역량을 기를 수 있는 효율적인 음악수업이 되기를 기대한다.The purpose of this study is to provide the curriculum of music class to develop students’ communicative competency. The program is designed with three subjects, which are ‘communicate with music’, ‘express music’, ‘share (your idea) with music’ in various musical activities and integrated approaches. Each lessons is composed three stages of ‘exploration’, ‘expression·empathy’, and ‘communication’. Through these stages, students can experience to deliver their emotions through music and express their musical feeling, and share their thoughts using text in music. In the classes, students may can develop their ability communicate others with music as well as their creativity. And also in the process of the lessons, they can develop their ability of communitive competency through cooperating and communicating with other students. This program has been approved by a group of expert and revised based on their feedbacks. This curriculum can be effective music classes that can develop students’ communicative competency which is very important competency of future society.
Investigation of RBF Hyperparameter Variation on Evolutionary Search

Computationally-intensive problems across engineering and science are often solved by using a metamodel-assisted evolutionary algorithm. A commonly used metamodel is the radial basis functions (RBF) which depends on a hyperparameter. The latter needs to determined by a numerical procedure which by itself could be an intensive task, and this raises the question in which cases it is justified, namely when do variations of the hyperparameter yield significant performance gains. To address this issue this study presents an extensive set of numerical experiments and their analysis to identify when is the hyperparameter variation justified.
Understanding Cultural Differences: A Case Study of Chinese Culture

This paper aims to focus on differentiations of culture. Most cultural notions are stemmed from the concept work of Hofstede. They all begin with a classification of culture throughout the creation of an ontology that distinguishes relatable levels of reality. One illustration will be highlighted as a case study of Chinese culture because China continues improving with its process of globalisation. Then, it finds itself straddling different national cultures that can lead to a problem of cross-cultural communication. This can cause a problem of miscommunication and misunderstanding which arises because people in different cultures often understand complex messages differently. Hence, a level theory of Hofstede was to act as a basic for the evaluation not only of national culture, but also of corporate culture. However, these level theories are not a very dynamic representation of culture and its manifestations that impoverishes the way that phenomenal manifestations of culture can be explained. On the other hand an alternative approach was adopted by Schwartz that did not talk ontology at all, it has been demonstrated that there is some relationship between the outcomes of the Hofstede and Schwartz results. A new ontology is also provided that is distinct from Hofstede’s level theory, and derives from the paradigm of knowledge cybernetics by Yolles since 2006. This enables both the outcomes from Hofstede and Schwartz to be identified, and provides a new way of directly comparing different cultural mapping theories.
DESIGN AND IMPLEMENTATION OF FIR LOW PASS FILTER - A CASE STUDY ON THE EFFECTS OF INITIAL COEFFICIENT VALUE TO ACHIEVE THE DESIRED FILTER OUTPUT

The usage of filter is inevitable in most of the electronics devices to reject all unwanted high frequencies of electrical signal & pass the desired signal and for this purpose a precision filter is to be used in the input stage of the device. In an R-C Low Pass Filter capacitive reactance varies with the applied frequency of the input signal. When the applied frequency of the input signal increases the capacitive reactance is decreased and high frequency signal is bypassed to the ground through the capacitor. But in the case of FIR Low Pass Filter, the unwanted high frequency signal is suppressed with the help of filter coefficients. The desired output of an FIR Low Pass Filter can be obtained when the sample values of the input signal are instantaneously processed with the corresponding coefficient values. This case study shows that the initial value h(0) of the filter coefficients has a vital role to achieve the desired filter output. Though initial value h(0) is undefined and can be calculated by L. Hospitals’ Rule after multiplication with a window function.
Assessing the Comparative Effectiveness of Text Models in the Document Classification Problem

Various text models used in solving natural language processing problems are considered. Text models are used to perform document classification, the results of which are then used to estimate the comparative effectiveness of the used models. From two classification accuracy values obtained on the evaluation and training sets, the minimum value is selected to evaluate the model. A multilayer perceptron with one hidden layer is used as a classifier. The classifier input receives a real vector representing the document. At its output, the classifier generates a forecast about the document class. The input vector is determined, depending on the used text model, either by the text frequency characteristics, or by distributed vector representations of the pre-trained text model's tokens. The obtained results demonstrate the advantage of models based on the Transformer architecture over other models used in the study, e.g., the word2vec, doc2vec, and fasttext models.
Blockchain Technology and Distributed System Future Scope and B-Coin Project

Blockchain systems have attracted various industry stakeholders, including those in finance, healthcare, utilities, real estate, and government, since it solves many security problems in distributed systems. Public blockchains will play a significant role in cyber-security and Internet of Things (IoT) security as the commercial, government, and military sectors become more comfortable with it. At the same time, security and privacy problems in public blockchains will need to be addressed before they can be incorporated into existing core cloud and IoT devices.
The lexical analysis of two works by Ernest Hemingway and F. Scott Fitzgerald

The scientific field of computational linguistics can significantly contribute to the analysis of literary texts from a variety of perspectives, including educational ones. The purpose of the present study is to investigate and analyze literary texts with the help of computational linguistics devices, with special focus on the difficulty level of vocabulary items, the general vocabulary profile analysis regarding the frequency of occurrence, and the sentence length of selected texts, on which research questions of the present study are based. Ernest Hemingway’s work Big Two-Hearted River – Part I., and F. Scott Fitzgerald’s The Great Gatsby, were analyzed. It is hypothesized, based on previous research, that the words used in Hemingway’s prose will fall into a lower reading difficulty range than that of Fitzgerald’s, and that Hemingway’s style will generally be simpler than that of Fitzgerald’s in terms of syntactic structures and sentence length. Their writings were analyzed with the help of computational linguistics tools. Comparing the text profiles of Hemingway and Fitzgerald for the level of difficulty, it can be concluded that the vocabulary level of their writings is not significantly different. Yet, Fitzgerald’s prose contains significantly longer and more elaborate sentences. Language technology appliances may contribute to the critical, detailed and effective analysis of literary works, contributing to other benefits, including language teaching.
INTERNAL FACTORS AFFECTING READING COMPREHENSION ACHIEVEMENT AT SMA NEGERI 1 TAMBAKREJO

AbstractReading is a journey, analyzing, and interpreting by the reader to obtain messages that are about to be delivered by the author in the media. Reading comprehension is getting increasing attention because modern information-based society requires excellent reading comprehension skills. Learning highly depends on the comprehension of information from text sources. Thus reading is really fundamental in every academic discipline. The aim of this research was to know internal factors affecting reading comprehension achievement at SMA Negeri 1 Tambakrejo. This research uses descriptive qualitative research method, and the way used by providing questionnaires and tests. The results of this research, internal factors affecting reading comprehension achievement at SMA Negeri 1 Tambakrejo is motivation, attitude, habit, and interest of reading.Keywords: Reading, reading comprehension
Mineral Reserve Estimation by ANN Technique in Termes of Neighborhood Information

Artificial Neural Network (ANN) technique is an attractive approach for pattern recognition. This paper describes a procedure to use ANN technique in reserve estimation in terms of neighborhood information instead of the information from the whole study area so that a successful result will be insured. A case study of application of this ANN approach to make block and point estimation of a highly variated and irregularly sampled gold deposit is given. The results are satisfactory and encouraging. A comparison between techniques of ANN and Kriging was made.
Speaker Gender Classification based on an Improved Deep Learning Approach

With the great evolution of technology, Speaker gender and age classificationis one of the major problems for large range of applications in speech analysis and recognition.The identification of speakers has become crucial in the cases of criminal suspect,speech recognition, speech emotion, and computer-aided physiological. To improve the accuracyof speaker gender classification, we must generate robust features with a depth classifier.With the promising results giving by machine learning for classification problem, our approachhas taken advantage of deep learning. In this paper, we propose to apply a speakergender classification based on the Recurrent Neural Network (RNN) which is able to determinethe long term dependencies of a sequential speech signal. The most popular RNN isLong Short-Term Memory (LSTM) model. However, it has a complex design which makes itdifficult to implement. So, we refine the LSTM model to our proposed Simplified Gated RecurrentUnits (SGRUs) by using an efficient architecture with only two multiplicative gatesmore suitable for speech classification. Our approach is decomposed into two essential steps.First, we generate the features from our model train based on SGRUs by removing of resetgates to limit redundancy and reduce the number of parameters without affect the system performance.Second, we use the Rectified Linear Units (ReLU) activations to learn long-termdependencies without slow down the training process. In Our architecture, we modify the levelof dropout and increase the depth of the network. The architecture was tried on a publicchallenging database. Experiment results show that our approach presenting a high accuracysurpassing other recent methods of gender classification task.
Recognition of Modern Korea-Japan Relations in the Current Japanese Middle School History Textbook - Focusing on Sino-Japanese and Russo-Japanese War -

The purpose of this study is to examine the descriptions of the Sino-Japanese War and the Russo-Japanese War in the currently used Japanese middle school history textbooks, and to understand the perception of modern Korea-Japan relations through them. Although these descriptions seem to have no problem on the surface, they ascribed the cause of the Sino-Japanese War and the Russo-Japanese War to Ching and Russia. And it reveals a tendency to reduce and exclude events that occurred during the development of the two wars. As a result, they have obscured the Japanese imperial intentions of Japan at the time to forcibly expand its power over Joseon through force. If Japanese middle school students learn through the above description, there is a problem that Japan is likely to recognize the Sino-Japanese War and the Russo-Japanese War from a distorted or biased perspective as Japan naturally expands its power to Joseon and the continent.
Near-infrared fringe projection profilometry based on deep learning

Near-infrared (NIR) fringe projection is gradually replacing visible fringe projection in face-scanning because NIR light is less harmful to human eyes and has a higher recognition rate in a special environment. However, since NIR is susceptible to interference from various heat sources and light sources, the NIR fringe image captured by the camera is of poor quality and has low contrast. And the captured low-quality fringe image will directly affect the quality of phase acquisition. Traditional phase acquisition methods, such as Fourier transform profilometry and phase-shifting profilometry, are difficult to achieve both high-speed and high-precision phase measurements at the same time. Therefore, this paper proposes a deep learning based phase acquisition method for NIR fringe projection. By using a deep learning model trained by the deep neural network with powerful learning and computing capabilities, phase extraction can be achieved from fewer NIR fringe images. Moreover, our method can retrieve the phase information with high speed and high quality without additional optimization of the original fringe map.
A Study on Chojeong Jo Ui-Hyeon's Sijo

초정 조의현은 1926년 동아일보에 작품 &#65378;만류(挽留)&#65379;를 발표하면서 작품 활동을 시작하였다. 그는 조운, 조남령과 함께 영광 지역의 3대 시인으로 손꼽히며, 그가 작고한 1985년까지 52편의 시&#65381;시조와 3편의 가사, 6편의 산문을 남긴 것으로 알려져 있다. 조의현의 시편에 시대 감정, 시적 대상을 바라보는 심도 있는 관조적 태도, 탁월한 서정적인 표현이 나타나므로 그가 남긴 작품에 대해 분석하고 문학적 성과를 살펴볼 만하다. 그러나 조의현의 작품에 대한 논의가 매우 미흡한 형편에 있다. 현재 나와 있는 유일한 조의현 전집에는 그가 쓴 작품이 모두 시조에 포함되어 있다. 시조로 분류되어있는 조의현의 작품 중 다수가 자유시의 형식을 취하고 있는데도, 조의현의 시편에 대해 명확한 장르 탐색이 시도되지 않고 있는 것이다. 이에 연구의 필요성을 인지하여, 본 연구의 2장에서는 조의현의 작품을 자유시와 시조로 구분하여 그동안 잘못 인식되어 온 조의현의 작품에 대한 장르 구분을 바로잡고자 했다. 이로써, 조의현이 창작한 시조를 20편으로 정리할 수 있었다. 그리고 3장에서는 2장에서 목록화한 시조 20편에 나타난 내용상&#65381;표현상의 특성을 분석하였다. 그 결과, 그의 시조에는 민족의식에 근거한 시대적 우울과 봄날의 애상, 이별의 정한 등의 전통적 정서가 주조음을 이룬다는 걸 발견하였다. 또한 자연적 소재를 통해 상실감과 외로움의 정서를 형상화하였는데, 이러한 특성은 전통적 정서를 심화하도록 돕는다. 요컨대 조의현은 고전적 장르인 시조에 전통적 정서를 담아내는 것으로 시조미학을 실천한 것이다. 형식적 측면에서 조의현의 시편을 분석하여, 작품의 장르를 자유시와 시조로 명확하게 밝히는 작업은 정형의 양식인 시조의 정체성을 지키는 데 일조할 것이다. 또 조의현의 시조를 내용적 측면에서 살펴보고 시적 특성과 작품 세계를 정리하여 시적 성과를 조명하는 일은 시조문학사를 폭넓게 이해하고, 시조 문단의 흐름을 총체적으로 정리하는 데도 기여하리라 판단된다.This paper presents an investigation into the Sijo works of Chojeong Jo Ui-hyeon that is considered as one of Yeonggwang s three greatest poets along with Jo Woon and Jo Nam-ryeong. He never made an official debut via literary contests in spring or literary magazines. In 1926, however, he published his Manryu in Dong-a Ilbo&#65381; Since then, he created 52 poems and Sijos, three Gasas, and six prose works until his death in 1985. His works reflect his in-depth contemplative attitudes toward poetic objects and his remarkable lyrical expressions. It is worth analyzing his works and discussing their literary achievements, but there are not many researches on the poet. Recognizing a need for research on the poet, the present study arranged his creative world in the aspects of form and content. His collections of works have no clear distinction between his poems and Sijos with his poems placed under the Sijo category. Chapter of the study categorized his poems and Sijos based on discussions about basic Sijo forms by professional Sijo poems in 1926～1928. The poet created 20 Sijos, 31 poems, and four Gasas. Chapter 4 analyzed 20 of his Sijo works catalogued in Chapter 2, 3 according to their characteristics in content and expression and found that the main tunes of his Sijos were traditional emotions including depression of the times based on national consciousness, sorrow of spring, and sentiment of parting. His embodiment of his sense of loss and loneliness with natural materials contributed to the intensification of this characteristic. In short, he practiced the aesthetics of Sijo by reflecting traditional emotions in the classical genre of Sijo. There is a need to expand horizontally discussions to analyze the creative worlds of Sijo poets. It is important not to limit the scope of research to professional Sijo poets and identify poets that created Sijo works but were less well-known to examine their poetic achievements. Such efforts will help to broaden the understanding of the history of Sijo literature and arrange the flow of Sijo literary circles comprehensively.