Reviewerly/exHarmony huggingface dataset:
Learning, Listening, and Reading Based on Child Worksheets Interactive Multimedia in Early Childhood of 5–6 Years

Interactive learning is a multimedia-based learning by combining and synergize all the media that consists of programmed text, photos, videos, animations, and music.Interactive multimedia-based learning in early childhood of 5-6 years will increase interest and motivation children in learning.The problem that was raised in this research that the lack of knowledge of teachers to technology science and teachers did not follow the development of IPTEK in the development of learning media, so that the learning activities carried out less optimal.As worksheets teacher have not used a specific learning strategy to create fun and meaningful learning.One of the innovations that can help in addressing the above problems is with the development of an interactive multimedia-based LKA.LKA Interactive is a great medium to develop listening and reading skills in early childhood.The listening skills will be the basis for the development of other language skills, listening is important before having the skills of speaking, reading and writing.Reading skills can improve the child's knowledge; by reading, the child will obtain information.Researcher hope that LKA will increase students' interest in listening and reading, and the objectives are expected achieved.
THE MODEL FOR CONTINUOUS PROFESSIONAL DEVELOPMENT OF ADDITIONAL EDUCATION TEACHERS: DESIGN EXPERIENCE IN THE REGIONAL DOMAIN

The mainstreaming of the additional education for children requires the training of the teaching staff capable of effectively developing the creative urges and gifts of pupils through the free choice of diverse activities. Additional education specialists should not only professionally know and have a good command of their subject, which supports children’s hobbies, but they shall also act as a catalyst for the development of the individual’s motivational potential, professional self-determination and as a long-term result they shall modify the innovative resource of society. Nevertheless, a teacher being a competent specialist in a certain subject domain such as theater and musical performance, aircraft modeling and robotics, powerlifting and football may not have sometimes the required knowledge and skills for the child's personality education and for designing expected educational results.The need for the scientific and methodological support to the professional development of the teaching staff in the additional education system has evoked the decision to elaborate a conceptually new model of training for this category of specialists, thus, having made it the purpose of the study. The novelty of the study was the fact that the said model was based on the personified nature of the choice of the teachers’ educational trajectory. It appeared to be a common multi-level structure combining diverse fields and forms of advanced training and retraining of additional education specialists. In addition to design and modeling methods there were applied in the study the methods of empirical research, interrogation and questioning, data analysis and generalization. The elaborated and implemented model for supporting the professional development of the teaching staff enabled to systematize and structure the training of additional education specialists in the regional domain. The practical relevance of the model for the continuous professional development was determined by its possible use also in the post-graduate education in another territory.
Ethno-religious hate speeches and political violence in Nigeria’s fourth republic

Ethnoreligious hate speech is the precursor to political violence in Nigeria’s fourth republic. While it is true that one of the greatest benefits of democratic societies is freedom of speech, still no one should be allowed under the disguise of exercising the right to free speech to offend, humiliate and demean another human being. In Nigeria, hate speech has been elevated to the status of political campaign strategy and it accounts for the escalation of political violence in Nigeria’s fourth republic. Therefore, this study explored the impact of ethno-religious hate speech on political violence in Nigeria’s fourth public. A descriptive method was adopted and data was collected via a survey of 600 electorates in South-South zone of Nigeria. The study found that there is a positive and significant relationship between Ethno-religious hate speech and political violence in Nigeria’s fourth republic. This paper recommends among others that political campaign in Nigeria should focus on the implementation of the critical national issues such as economic, political, social, cultural, educational, and healthcare services rather than attack on political opponents or mobilization of ethnic, religious, and regional sentiments.
WEB PATTERN ANALYSIS USING PARTITIONING ALGORITHM IN HYPERLINK STRUCTURE

This research paper focuses on the current hot topic web pattern analysis which is also useful in digital marketing (Search Engine Optimization (SEO), Social Media Optimization (SMO).It also covers the webometrics algorithm analysis and other ways used to analyze the web pattern using hyper linking structure.A number of ways have also been survey like hyperlinking structure analysis and like image compression/size formatting, minifying scripting of webpage, combining different types of scripts to reduce hyperlinking load.A comparative study between Page Rank, Weighted Pagerank and HITS is also done in order to give an in depth insight to the factors affecting the same.Ultimately, the objective to find out an efficient way to optimize the web pattern analysis process to improve its overall reach.An algorithm has also been proposed for analyzing web pattern using hyperlinking structure.
Penggunaan Regresi Kuantil Multivariat pada Perubahan Trombosit Pasien Demam Berdarah Dengue

Quantile regression is an extension of the regression model of conditional quantile where the distribution is derived from the response variable expressed as a co-variate function. Quantile regression can model data that contain outliers. Patterns of platelet change in DHF patients based on body temperature and white blood cells were analyzed by quantile regression using θ = 0,25; 0,50, and 0,75. Based on the parameter estimation results, the quantile θ = 0,25 and 0,75 obtained variables that affect the platelets of DHF patients are white blood cells. Significant differences from the variables in each quantile occur because of the possibility of other factors that influence the platelets of DHF patients that are not contained in the model. The difference in the influence of factors on each quantile requires an appropriate adjustment of medical measures so that efficiency can be obtained in handling DHF patients.
Automatic Route Video Summarization based on Image Analysis for Intuitive Touristic Experience

support, tourist information application Currently, many tourists search for and watch tourism videos on the Internet when planning a sightseeing tour.In order to quickly plan a sightseeing route, a shorter playback time of tourism videos is desirable.For this purpose, time-lapse playback would be effective.However, the faster the playback is, the lower the degree of comprehension of the viewers will be.In this paper, we propose a novel time-lapse-based video summarization method without the substantial loss of information important for viewers to plan a tour route.In the proposed method, we focus on scene changes in the video.We extract scenes with a certain level of change compared with previous scenes as important (slowly played back) in the summarized video, while other scenes are fast-forwarded.We investigated the appropriate playback speed of sightseeing videos.As a result of a questionnaire, we found that a playback speed between ×4 and ×8 was the most effective for viewers to understand the sightseeing information for tour route planning.In addition, to evaluate the effectiveness of our proposed method, we conducted experiments with 20 participants using a sightseeing video taken in Kyoto.Comparing the video summarized with our method and that summarized manually (by voting for necessary/ unnecessary scenes), our method identified the important scenes with an F-measure of 62.22%.
K-Value Effect for Detecting Stairs Descent using Combination GLCM and KNN

This study aims to analyze the k-value on K nearest neighbor classification. k-value is the distance used to find the closest data to label the class from the testing data. Each k-value can produce a different class label against the same testing data. The variants of k-value that we use are k=3, k=5 and k=7 to find the best k-value. There are 2 classes that are used in this research. Both classes are stairs descent and floor classes. The gray level co-occurrence matrix method is used to extract features. The data we use comes from videos obtained from the camera on the smart wheelchair taken by the frame. Refer to the results of our tests, the best k-value is obtained when using k=7 and angle 0Â° with accuracy is 92.5%. The stairs descent detection system will be implemented in a smart wheelchair
Recognition of Foreign Objects in Food Images Using Support Vector Machine

Ensuring food quality and safety is one of the important tasks of food production enterprises. In this paper, a foreign body recognition method based on Support Vector Machine (SVM) for food image is proposed. Firstly, the X-ray image of food is segmented by automatic threshold method, and then the feature is extracted and classified. The simulation results show that compared with BP neural network and K-nearest neighbor algorithm, SVM algorithm has better stability and more effective accuracy to realize the classification.
Hubungan Antara Kontrol Diri dan Motivasi Belajar dengan Kedisiplinan Siswa SMA As-syafi’iyah Medan

This research aimed, to know the relationship between self-control to students’ discipline students. to know the relationship between motivation of study to student’s discipline students, to know the relationship between self-control and motivation of study to student’s discipline students. The populations of the study are total students of class X and XI SMA AS-SYAFI’IYAH MEDAN consisted of 135 students. so sample set to the Purpossive Samplingtechnique consisted 80 students. The research data were gathered based on scale sefl-controlandstudy motivation. The shape of scale used likert scale, consisted of 30 shapes self-control variables of (XI) either 30 variables of (X2). The data analysis used of RegresiBerganda, and the result of the research indicated there was significant relationship between self-control and students’ discipline about R=0,547 and p=0,000. Significant relationship between motivation of study and discipline of study about R= 0,299and p=0,001. Significant relationship between self-control and study motivation to the students’ discipline about F=33,269 and p=0,000.
Moral Values Found in Linguistic Politeness Patterns of Bugis Society

Politeness Strategy is very urgent because it plays an important role in human communication. It is a key point in enhancing the interpersonal relationship and communication. If participants of communication can obey this principle, they can make their expression more tactful; in other hand, if they violate the Politeness Strategy, they may not make the hearers feel good. The objectives of the current research are to: (i) explore the form and the characteristics of linguistic politenessin Bugisethnic people at Pangkep, Barru, and Soppeng with some examples,and (ii) represent the implication of cultural value in Buginese society. The results of this research show the characteristics and the forms of linguistic politeness through some morphemes marked such as prefix ta’, suffix pronouns ta’, ki’, ni, some honorific vocabularies such as idi’, nak, daeng, and some lexemes iye’, tabe’, and strategies of linguistic politeness, namely bald on record strategy, positive, negative, off record strategy. The implication of cultural valueas a basic value such as ethics and language politeness, self-image, courage, solidarity, and cooperation, are also found in this study.
Key Generation based on Henon map and Lorenz system

Securing information has been the most significant process for communication and data store. Orderly to secure information such as data authentication, data integrity, and confidentiality must be verified based on algorithms of cryptography. Where, the most important part of any encryption algorithms is the key which specifies if the system is strong enough or not. The proposal of this paper is a new method to generate keys based on two kinds of chaos theory in order to improve the security of cryptographic algorithms. The base of this proposal is to investigate a new method for generating random numbers by using the 3D Lorenz system and 2D Henon map. The newly generated keys have successfully passed the National Institute of Standards and Technology (NIST) statistical test suite
Performance Analysis of Machine Learning Algorithms for Movie Review

In this paper, we have evaluated the performance of four machine learning algorithms in terms of sentiment analysis in the IMDB review dataset.Among these algorithms, two are neural network based and two are non-neural network based.We used binary classification for sentiment analysis in IMDB reviews and examined all the four algorithms to detect whether the sentiment of the text is positive or negative.Among the neural network based approaches, we applied LSTM and GRU.We found that GRU performed better than LSTM.Among the non-neural network based algorithms, we applied Multinomial Naïve Bayes and Support Vector Machine.We found that SVM outperformed Multinomial Naïve Bayes.Among these four algorithms, GRU performed the best with an accuracy of 89.0%.
The Semimartingale Dynamics and Generator of a Continuous Time Semi-Markov Chain

We consider a finite state, continuous time homogeneous semi-Markov chain X = {Xt, t ≥ 0}.Without loss of generality the state space of the chain can be identified with the set of unit vectors S = {e 1 , e 2 , . . ., e N } where e i = (0, . . ., 0, 1, 0, . . ., 0) ′ ∈ R N .The probabilistic and dynamic properties of X can be described by either a rate matrix A or a matrix which gives the occupation times in the various states together with the probabilities of jumping to a different state.For a continuous time Markov chain the occupation times are memoryless, implying the distributions are exponential.For semi-Markov chains the occupation times can have more general distributions.The relation between these two descriptions is first investigated and the semimartingale dynamics of a semi-Markov chain obtained in contrast to the traditional description of a semi-Markov chain in terms of a renewal process.An equation giving the dynamics of the occupation times is derived together with an equation for the density of the conditional occupation time and state.Some approximations for these dynamics are then obtained.
LEFV

The emergence of deep learning has made great progress in face recognition. With the popularization of embedded devices, deploying the deep model on embedded devices has become a trend. Most high-precision models require lots of computation costs. Therefore, developing a lightweight deep face recognition system running on embedded devices is a hot topic in current research. To achieve high-accuracy real-time performance of an embedded device, we now present a simple and effective face recognition system LEFV, including face detection, face normalization and face recognition. The quantitative experiments on two large-scale challenging datasets, WIDER FACE dataset and IJB-A dataset, show competitive performances on both runtime and accuracy.
The Challenges of Language Learning of the Study-Abroad Students of English Language Department of Islamic Higher Education in Kalimantan

The purpose of this study is to uncover: 1) How foreign students believe in learning English at Islamic higher education in Kalimantan, 2) The experience of foreign students in learning English at Islamic higher education in Kalimantan, 3) The challenges of foreign students in learning English at Islamic higher education in Kalimantan. This qualitative phenomenological research was to disclose the phenomenon of the entry of foreign students to Kalimantan. The main participants of the study were foreign students and English lecturers of state Islamic institute of Samarinda, state Islamic institute of Palangkaraya, and state Islamic university of Antasari. Meanwhile, the secondary participants of the study were foreign students and English lecturers from the state Islamic institute of Pontianak. The instruments were interviews, documentation, and observation. Analysis of research data used a model from Miles and Huberman consisting of data collection, data reduction, data presentation, and drawing conclusions. There are three important findings of this study. Firstly, foreign students believe in learning English at Islamic higher education in Kalimantan. They declared that the curriculum is appropriate, carried out by a good process, facilitated by adequate learning facilities, and implemented by competent teachers with varied learning methods. They were also assured to get the extra benefit of not only learning English but also learning Islamic material. Secondly, regarding to the experience of foreign students, there are two main things as our conclusion, namely: language learning benefit and socio-cultural benefit. In the context of learning English, they learned English material and felt more confident in speaking English. Meanwhile, from the socio-cultural aspect, foreign students at Islamic higher education in Kalimantan enhance their life experiences by learning the social life of the Indonesian people which enrich their life experiences. Thirdly, the challenges they faced were independent living, increasing self-confidence, mastering learning material, improving English speaking skills, and adapting to the environment, such as: food, language, or culture.
Acceleration of training dataset generation by 3D scanning of objects

A semi-automatic dataset generation system is effective to prepare a training dataset for object recognition in a personal residence.However, a semi-automatic that method requires significant manual processing to capture images of household objects.Therefore, we apply three-dimensional object scanning to eliminate manual processing and speedup dataset generation.Experimental results demonstrate that the proposed method can generate the dataset 40 minutes faster than a comparable previous method that did not require manual processing.
Improving the Students’ Reading Skill trough Note-Taking Technique: A Pre-Experimental Research

This research aimed at finding out the improvement of the students’ critical comprehension and creative comprehension. The researcher applied a pre-experimental design. The sample was taken by a total sampling technique and the total number of samples was 20 students. It employed eight meetings (one meeting for pre-test, six meetings for treatment, and one meeting for post-test). It employed a reading test as an instrument. The results of this research showed that the Note-Taking Technique improved students’ reading skill which focused on critics and creativity. It was proved by the students’ post-test score that was higher than the students’ pre-test score. It also proved by the value of the t-test 6.29, which was higher than the value of t- table 2.093. This indicated that the alternative hypothesis was accepted, and the null hypothesis was rejected and there was a significant difference in the students’ reading skill before and after using Note-Taking Technique. It was concluded that the use of Note-Taking Technique can improve the students’ reading skill.
EFL learners’ perception toward the use of interactive e-book in grammar class

The use of multimedia has become the demand of this 21st-century education where the material used has to include more technological devices and it also supports student-oriented learning methods. The use of this kind of technology also can be applied in English lessons like grammar. In the English Department of Universitas Negeri Padang, interactive e-book has been used in the grammar class, specifically in advanced grammar class for students in the academic year 2018. This study aimed to analyze students’ perceptions toward the use of this interactive e-book in advanced grammar class. The population of this study consist of the students in the English Department from the 2018 academic year. The samples are selected through purposive sampling whereby the sample was the class that used interactive e-book in their advanced grammar class. The instrument for this study was a questionnaire, which is divided into 3 sections: interface, interactivity, and material. The data was analyzed using descriptive statistical calculation. The result of this study was students had a positive perception toward the use of interactive e-book in advanced grammar class. Hence, the students’ perceptions can be used to improve the interactive e-book used in teaching and learning process grammar.
L1 AND L2 READING ATTITUDES AND THEIR CONTRIBUTION TOWARD READING HABIT

The aims of the study are threefold. The first is to investigate the reading attitudes toward first language (L1) and second language (L2) in an English as a foreign language (EFL) context. The second aim is to find out the correlation between both variables. The last objective of the study is to find out the contribution of L2 reading attitude toward reading achievement. This study involved two sets of questionnaires adapted from Yamashita (2004) and Mikami (2016) and 177 freshmen, sophomore and junior English language education department students. The data revealed that means of reading attitude toward L1 and L2 are not significantly different with 2.60 and 2.65 respectively, and that reading attitude in L1 is strongly correlated with reading attitude in L2 (r = 0.637). An interesting finding of the present study pointed out that although students have positive attitude in L2, it does not automatically motivate them to spend their time reading. External factors such as teachers and specific reading programs both in L1 and L2 seem to play bigger roles in shaping students� reading attitudes. Pedagogical implications are also discussedKeywords: Reading attitude in L1; reading attitude in L2; reading habit; external factors.
Arabic character diacritization using DNN

In this paper, automatic Arabic character diacritization is more accurately achieved using deep neural networks.Actually, though diacritic signs represent short vowels and/or indicate gemination on consonants, they are omitted in modern standard Arabic (MSA).However, most speech processing applications like speech synthesis and machine translation need such marks to convey the right meaning.Therefore in this work, automatic diacritization accuracy is enhanced using feedforward DNN.The results show that using more significant and Arabic-specific input features increases the prediction accuracy of diacritic signs.