Reviewerly/exHarmony huggingface dataset:
About the Development of Artistry in Elementary School Pupils in a Guitar Class

The article dwells upon the necessity of forming artistic qualities in elementary school pupils during the process of teaching performance mastery. The preparation of future performing musicians must be carried out in the context of a theatrical rendition of the performing profession, with the inclusion of elements of vocational psychology. The artistry of the pupils of children’s music schools must be developed inseparably from the process itself of development of performance skills and the skills of reading the musical text and performance technique, otherwise the development artistry acquires an accidental character and is subordinated, albeit, being an inseparable part of a successful concert performance. An analysis of performance working programs in children’s music schools for pupils with a professional inclination shows a lack of a goal-directed systematic work with the pupil in forming artistry as a professionally significant quality, whereas the brightest indicator of creative development is particularly artistry. The discipline of pedagogy recognizes this necessity, but the latter is not realized in the conditions of teaching practice. The overcoming of this contradiction is possible by means of the pupils’ familiarization with artistic techniques and stage organization. The article proposes examples of special exercises directed at the development of artistry and creative imagination of elementary level guitarists.
SISTEM PAKAR DIAGNOSA HAMA DAN PENYAKIT TANAMAN HOLTIKULTURA

Consultation with someone who has expertise in a particular field in solving a problem is the right choice to get the best answers, suggestions, solutions, decisions or conclusions. Technological developments have an influence on developments in various sectors and technological advances have a lot of influence in the work process in agriculture, where a lot of agricultural equipment is developed so that the agricultural work process can be completed properly and provide better results in terms of quality and quantity. One technology that is widely developed is a technique that is able to adopt human thinking processes and ways, namely artificial intelligence technology (artificial intelligence). An expert system is one part of artificial intelligence that contains knowledge and experience that is entered by one or many experts into one knowledge. so that farmers can use the system to determine the right solution to the existing problems.
New data on the competition between definites and indefinites

In this paper, we report on four experiments investigating obligatory presupposition effects. Specifically, we look at the inferences arising from not using presupposition triggers when their use is supported by the context. We compare these inferences and the contextual factors for their derivation to presuppositions and implicatures. Extending previous work, we explore not only the English definite determiner "the" but also the dual "both" and their respective competition with the universal quantifiers "every" and "all".
Bi-Attempted Based Optimization Algorithm For Numerical Optimization Problems

Numerical optimization is one of the well-known problems in computer science.Day by day, new methods are developed by many researchers.Recently, optimization became an essential task for many disciplines, such as engineering, medicine, management and others.In many cases, optimization problems may require fast and efficient algorithms for real-time implementations.In this paper, a simple, fast and feasible algorithm is presented for the optimization of both uni-modal and multi-modal benchmark functions.A population based Bi-Attempted Based Optimization Algorithm (ABaOA) is a stochastic search method which searches a solution space with two fixed step-size displacement parameters and two mutation operators.The proposed algorithm is derived from Base Optimization Algorithm (BaOA) which uses basic arithmetic operations.The performance of ABaOA is tested on twenty well-known benchmark functions and the results are statistically compared with the seven well-known stochastic optimization algorithms.Three different statistical analyses were done on the results obtained from the ABaOA.Two non-parametric statistical comparisons with the mean values are performed by using Sign and Wilcoxon tests.The non-parametric statistical multiple comparisons of the proposed algorithm is performed by using the Friedman test.The non-parametric Friedman test of differences among repeated measures of these algorithms was conducted and referred a Chi-square value of 67.337, which was significant (p<0.05).Wilcoxon non-parametric pairwise comparison test was applied to analyze the difference of ABaOA statistically among the other algorithms.The test indicates that the introduced algorithm is statistically significant than other algorithms with a level of significance p < 0.05.The experimental results also show that the ABaOA is clearly superior to the compared stochastic optimization algorithms.
THE EFFICACY OF INSTAGRAM @GURUKUMRD AS THE MEDIA IN IMPROVING STUDENTS READING SKILLS

Instagram is an online mobile photo and video sharing that can attract students’ attention in the learning process. It is also used to interact and share stories to others directly. Because of this, Instagram is a social media which can be utilized to navigate students to read. This study aims to find out the use of Instagram @gurukumrd to improve students’ reading skills. The Instagram @gurukumrd is chosen as the object of this study because it provides students with reading activities through stories, comments, and opinions. To reach the aim of this study, researchers employed qualitative research with Ethnography method. The data are collected using instruments which are observation sheets and interview guidelines. There are 37 students involved in this study as respondence. Based on the research findings, the Instagram @gurukumrd facilitates students to acquire various vocabulary and grammatical knowledge. In addition, students acquire competencies on how to gain paragraph ideas, topic sentences, and reading comprehension. Through Instagram, students can remember and recognize difficult words. At the end of this, this media facilitates students to read simple paragraphs quickly. Based on the research findings, this study can conclude that the Instagram @gurukumrd can facilitate students to enhance students’ reading skills.
The positive politeness strategies used on whatsapp conversation between student and teacher in English learning at al-luthfah Islamic school

This Study discusses WhatsApp conversations between students and teachers used while learning English used in teaching activities to determine the type of politeness used by students in WhatsApp conversations during English learning at the al-Lutfah Islamic school. This research uses descriptive qualitative as the research method. The research subject is Student and teacher, while the study's object is politeness strategies in conversation WhatsApp that may contain politeness. The data of this research is the WhatsApp conversation of having politeness strategies. It uses observation and takes notes to collect the data. The data analyzing method is metode agih. The participants of this research are teachers and students at Al-Luthfah Islamic school. The transcriptions were analyzed and discussed based on the politeness of Brown and Levinson (1987). This study's findings reveal the kinds of politeness types used by Al-Luthfah Islamic students to encode politeness or politeness. In the form of several messages when replying to several statements in the WhatsApp group. These expressions are in the form of greetings, gratitude, ask questions, express opinions, and several forms of these messages are stages of obtaining data, identifying data, looking for standards, classifying types of politeness, and finding their function of the politeness used. And analyze the data.
PELAKSANAAN PEMBELAJARAN BERBASIS ONLINE (MEDIA GOOGLE CLASSROOM) DALAM TANGGAP WORK FROM HOME MASA PANDEMI VIRUS COVID-19 DI FAKULTAS EKONOMI DAN ILMU SOSIAL UNIVERSITAS ISLAM NEGERI SULTAN SYARIF KASIM RIAU

The application of learning with the online system is a consequence of the spread of the Covid-19 Virus in the world of education. Google Classroom is a medium to help educators / teachers in the learning process. This has also been applied in the Faculty of Economics and Social Sciences. There are potential obstacles in the online learning process using google classroom in Uin Suska riau environment, therefore researchers are interested in researching the application of the learning system using Google classroom. This study used a descriptive qualitative method with survey techniques. The study was conducted on October 5, 2020, December 15, 2020, with the number of respondents as many as 390 students in the Faculty of Economics and Social Sciences, UIN Suska Riau. Data obtained through questions distributed to all respondents in the form of google form then the data is analyzed with a description description. The result of the research is that Google Classromm media really helps educators and teachers to continue to carry out the learning process in the midst of the Covid-19 virus epidemic, but there needs to be attention to the quality of learning when learning is carried out in a long distance Most of Fekonsos students of UIN SUSKA Riau still do not feel that they understand the knowledge conveyed by learning using Google Classroom.Keyword: online learning, google classroom, covid-19 virus
Achieving password-hashing scheme over lattices

Password-based authentication is the dominant form of access control and is likely to keep its status in the foreseeable future. Password authenticated key exchange (PAKE) protocols enable two parties to exchange a session key during password-based authentication over an insecure channel. To resist password compromise at the server-side, passwords are recommended to be stored in a salted hash form. However, conventional password hashing functions (e.g., PBKDF2, bcrypt, and scrypt) only support PAKE protocols based on specific number-theoretic assumptions, which can only be proved secure in the random oracle model, and the communication rounds are generally high. Furthermore, they demand a large memory size, i.e., the output is of length łinebreak 32 bytes. To address these issues, several password hashing schemes based on discrete-logarithm assumptions, e.g., Benhamouda and Pointceva (IACR ePrint2013/833), Kiefer and Manulis (ESORICS14), and Pointcheval and Wang (ASIACCS17), have been proposed to be integrated with a smooth projective hash function (SPHF), but they are not secure in the coming quantum era and only can be proved security in the random oracle model. In this work, we focus on the question of how to design an efficient password hashing scheme that can be integrated into quantum-resistant SPHF-based PAKE while being secure in the standard model (but not the random oracle model). Following the research line of Kiefer and Manulis (ESORICS14), we design three new types of lattice-based password hashing schemes based on homomorphic commitment schemes with provable security in the standard model. We show that they can be efficiently integrated with SPHFs to obtain low-interactive PAKE protocols. Although the proposed scheme is not ready to be deployed in practice, it is an important step for the quantum-resistant password-based authentication and authenticated key exchange.
Bahan Ajar Ebook dengan Perspektif Sejarah Lokal Kota Padang

Historical learning can actually make students think critically and have the skills to think cause and effect to understand a historical event. One way that can be done to make history learning more meaningful is by innovating teaching materials into digital teaching materials in which there are contextual materials such as local history and containing supporting media including pictures and videos. This study aims (1) to describe the stages of the development of e-book teaching materials for Indonesian history subjects in the perspective of local history in the city of Padang in order to practice causal thinking skills. (2) To test and describe the feasibility of e-book teaching materials for Indonesian history subjects in the perspective of local history in Padang City which was developed in order to train causal thinking skills. (3) To describe the practicality of e-book teaching materials for Indonesian history subjects in the perspective of local history in Padang City which was developed in order to train the ability to think cause and effect. The method in this research is the method of research and development or R&amp;D. Researchers used the ADDIE model in developing e-book teaching materials in the perspective of the local history of Padang City but it was trimmed down to ADDI so that this research stage only reached the implementation stage. The results showed that the material "Resistance against the Allies Comes to Indonesia" in this case the Battle of Surabaya and the local context of the Battle of the Padang Area is very suitable to be used to train students' causal thinking skills. The evaluation of e-book teaching materials experts from the perspective of local history in Padang City also shows that the teaching materials developed are very suitable to be used to train causal thinking skills as well as teaching materials in history learning. The practicality of the teacher shows that e-book teaching materials from the perspective of local history in Padang City are very practical to be used as teaching materials in learning Indonesian history and training the ability to think cause and effect.&#x0D; Keywords: E-book Teaching Materials, Local History, Thinking Cause and Effect, History Learning
Prediksi Tingkat Kelancaran Kredit BSU BMT Tunas Harapan Syari’ah Pringgasela Kabupaten Lombok Timur Menggunakan Algoritma Neural Network

The role of credit in a cooperative is very important. With the credit can be a source of profit for the cooperative. The cooperative was founded with the aim of prospering its members. One of the advantages is that cooperative members can apply for credit loans. To approve the proposed loan, it is necessary to analyze the credit submitted by the members. This has become one of the difficulties for several cooperatives, one of which is KSU BMT Tunas Harapan Syari'ah which is located in thePringgasela village, Pringgasela District, East Lombok Regency. The problem that often arises is that the analysis conducted is often incorrect, resulting in a prolonged bad credit in installment payments. The reason is that cooperatives always use statistical data which is sometimes inaccurate because there is no processing using data processing methods. Therefore, the neural network data mining method can be used as a tool to analyze which customers are problematic and not problematic. From the results of the research that has been done, it produces an accuracy of 96.19% and an AUC of 0.976
Mixed-Clipping Quantization for Convolutional Neural Networks

Quantization is the main method to compress convolutional neural networks and accelerate convolutional neural network inference.Most existing quantization methods quantize all layers to the same bit width.Mixed-precision quantization can obtain higher precision under the same compression ratio, but it is difficult to find a mixed-precision quantization strategy.To solve this problem, a mixed-clipping quantization method based on reinforcement learning is proposed.It uses reinforcement learning to search for a mixed-precision quantization strategy, and uses a mixed-clipping method to clip weight data according to the searched quantization strategy before quantization.This method further improves the accuracy of the quantized network.We extensively test this method on a diverse set of models, including ResNet18/50, Mobile-Net-V2 on ImageNet, as well as YOLOV3 on the Microsoft COCO dataset.The experimental results show that our method can achieve 2.7% and 0.3% higher Top-1 accuracy on MobileNet-V2 (4 bit), as compared to the HAQ and ZeroQ method.And our method can achieve 2.6% higher mAP on YOLOV3 (6 bit), as compared to per-layer quantization method.
Detection of Human Movement Direction Using Optical Flow Analisys on Multiple Camera Angles

The active movement of children poses a safety risk in the absence of adult supervision. To reduce the risk of accidents in children, an automatic detection system for the direction of children's movements is crucially needed. In this study, detection of the direction of human movement based on image processing was carried out with the input of videos produce from 4 CCTV installed in each corner of the room. The system will detect the direction of object movement with classification of orientation, namely front, back, right and left. The detection method used in this research is Optical Flow. Optical Flow will calculate the value of the direction or orientation of the movement of an object. The orientation obtained is then accumulated with HOOF (Histogram Orientation of Optical Flow), where HOOF will collect the orientation of objects on the whole frame according to a 8-part Cartesian angle. The results of the orientation with Optical Flow will be compared with the direction of detection measured manually to determine whether the detection of movement direction using Optical Flow is running well. According to the results, it is known that the Optical Flow method has succeeded in detecting the direction of movement accurately based on different camera angles. Keywords : Image Processing, CCTV, Optical Flow, HOOF
Interpretation of Spatial Relationships by Objects Tracking in a Complex Streaming Video

By interpreting spatial relations among objects, many applications such as video surveillance, robotics, and scene understanding systems can be utilized efficiently for different purposes. The vast majority of known models for spatial relationships are carried out with an image. However, due to the advance in technology, a three-dimensional scene became available. For our knowledge, most of the interpreted spatial relations were defined between silent objects in images. A technique for determining the dynamic spatial relation between a moving object and another silent one in a time varying scene is presented here. The spatial relationships were determined by using motion-based object tracking along with hypergraph object-oriented model. Defining the spatial relationship types between a single silent object and a moving human body has applied based on two strategies; determining each object with a bounding box, then comparing the locations of these boxes by applying certain conditional rules. This study identifies some of the spatial relationships in three dimensions of streaming frames, which has carried out by establishing a highly accurate and efficient proposed algorithm. The following relations have been studied; (“direct in front of”, “in front of on the Right/Left”, “direct behind of”, “behind of on the Right/Left”, “to the Right”, “to the Left”, “On”, “Under”, Besides, and “Besides on to the Right/Left”). The experimental results, which have been obtained based on actual indoor streaming frames, show effectiveness and reliable execution of our system
Optimized Auto Encoder on High Dimensional Big Data Reduction: an Analytical Approach

Big data comprises of huge volume of data, which is exponentially increasing with time. Since the data istoo large in size; the traditional data management tools are ineffective in processing these data effectively. The bigdata encompasses huge count of variables, hence analyzing each of the variables at a microscopic level is notfeasible, as it might consume days or even months to have a meaningful analysis. This is time-consuming andcostlier. Therefore, the Dimensionality Reduction (DR) techniques can be utilized. In general, the DR is a techniquefor reducing the count of input variables with fewer losses. These input features can cause deprived performance forML algorithms. This paper introduces an optimized auto-encoder based dimensionality reduction model to dealwith large datasets. The weight of the auto-encoder is fine-tuned by a selfadaptive Bumble Bees MatingOptimization (SA-BBMO) algorithm, which is the conceptual upgrading of standard BBMO. Further, to validatethe appropriateness of the projected dimensionality reduction model, the experiments are conducted using bigdatasets. The corresponding results acquired are compared over the nonlinear dimensionality reduction techniqueslike PCA, K-PCA, LDA etc, in terms of Reconstruction error, Convergence, V-Measures, Silhouet Coefficient andComputation Time.
Fiction in a Phenomenon-Based Classification

In traditional classification, fictional works are indexed only by their form, genre, and language, while their subject content is believed to be irrelevant. However, recent research suggests that this may not be the best approach. We tested indexing of a small sample of selected fictional works by Integrative Levels Classification (ILC2), a freely faceted system based on phenomena instead of disciplines and considered the structure of the resulting classmarks. Issues in the process of subject analysis, such as selection of relevant vs. non-relevant themes and citation order of relevant ones, are identified and discussed. Some phenomena that are covered in scholarly literature can also be identified as relevant themes in fictional literature and expressed in classmarks. This can allow for hybrid search and retrieval systems covering both fiction and nonfiction, which will result in better leveraging of the knowledge contained in fictional works.
PERSEPSI MAHASISWA TERHADAP PELAKSANAAN PEMBELAJARAN DARING PADA JURUSAN PGSD

Online learning requires evaluation both in terms of the delivery of the media teaching staff used and the maximum learning response from adult students. Learning that is not face to face certainly requires special attention to achieve effective learning goals. Disturbances during online are also a problem of internet network disruption, the online application learning media used by this educator who became a researcher to conduct questionnaire research on PGSD students consisting of 426 students consisting of 4 batches namely 2017,2018,2019 and 2020 to make respondents in research. Researchers conducted a questionnaire via google form, there were 8 questions related to online learning questions covering activities during online learning. Student responses to online learning carried out by lecturers are good overall 90% of student responses to online learning are very good, but 10% of student responses have not felt satisfaction or are lacking in online learning. Keywords: Student Perception, Online Learning