Reviewerly/exHarmony huggingface dataset:
Rancangan Aplikasi Pembelajaran Angklung Untuk SLB Bagian B Tuna Rungu Berbasis Android

The introduction of angklung music especially for deaf students is done by replacing numeric notes with various hand movements by the teacher. It takes two teachers to produce harmonious music with one teacher focusing on melody and the other teacher focusing on chords. However, hand movements are still limited to ordinary notes. The teacher's hand movements do not yet include the crescendo and decrescence notes. In addition, if one of the teachers is unable to attend, it cannot produce a harmonious music. To overcome this, multimedia-based angklung learning aids and android-based applications are made, where multimedia allows an angklung game to be carried out without the help of a trainer. In addition, created a partitur reading with the android application to enhance the students' ability to practice outside hours. But in these discussions only discuss the design of the android based angklung application used Unified Modeling Language (UML) diagram.. This research was funded by Direktorat Riset dan Pengabdian Kepada Masyarakat, Direktorat Jenderal Penguatan Riset dan Pengembangan , Kementrian Pendidikan dan Kebudayaan No : 108/SP2H/PPM/DPRM/2019, 08 March 2019
Cryptanalysis of the Authentication in ACORN

ACORN is an authenticated encryption algorithm proposed as a candidate in the currently ongoing CAESAR competition.ACORN has a good performance on security and efficiency which has been a third-round candidate.This paper mainly concentrates on the security of ACORN under the forgery attack and the non-repudiation of ACORN.Firstly, we analyze the differential properties of the feedback function in ACRON are analyzed.By taking advantage of these properties, the forgery attacks on round-reduced ACORN are proposed with a success probability higher than 2 -128 when the number of finalization rounds is less than 87.Moreover, the non-repudiation of ACRON in the nonce-reuse setting is analyzed.The known collision can be used to deny the authenticated message with probability 2 -120 .This paper demonstrates that ACORN cannot generate the non-repudiation completely.We believe it is an undesirable property indeed.
Analysis Knowledge Level of Psychotropic-Addictive Substance And Rejection Attitude Of Drug Abuse In Junior High School Students

Lack of drug hazard knowledge becomes one of the drug abuse causes. Drug knowledge (psychotropic-addictive substances) will foster a negative attitude such as a rejection reaction towards drug abuse. Such attitudes may prevent or address drug abuse problems. That prevention needs to be done as early as possible by providing knowledge about drugs trough the school educations. This study would find the relationship between addictive and psychotropic substance knowledge with the attitude on drug abuse and how much that constriction in JHS students' attitudes. This research method is a survey method with an analytical observational design. The population in this study was all junior high school students in the Semarang North District with five classes (grade IX) as samples taken from three schools in the sub-district. The data collection measuring instruments used in this study is questionnaires and interviews. The results of this study show that more than 50% of students have high knowledge of psychotropic and addictive substances and have a negative attitude towards drug abuse. Data analysis results are obtained by a correlation coefficient value (r) of 0.971 and a coefficient of determination (R2) of 0.942. The R value indicates a positive correlation while the R2 value is how much constricting it is. Based on the results of the study, concluded that the knowledge of psychotropic-addictive substances with the rejection attitudes of drug abuse has a positive and very strong relationship. And as much as 94.2% of the psychotropic addictive substance knowledge is constricting in the formation of students ' attitudes towards drug abuse.
Repeatable Extrinsic Stereo Camera Calibration by Moving Chessboard in a Straight-line

Camera calibration is the procedure of identifying camera parameters for rectifying and un-distorting the images.In this paper Calibration of Stereo Camera using the set of images taken by 2 cameras (from left and right direction) and study about the stability as well as statically analysis of parameters is carried out by physically changes the angle of camera.For estimating extrinsic parameters the images could be taken in a way, covering whole surface area of the camera sensor i.e. at different depth and orientation but later, it was observed that if the images taken were in a straight line at different depths covering the same area of camera sensor then the repeatability could be seen in the results of extrinsic parameters.
Standard Bases for Linear Codes over Prime Fields

It is known that a linear code can be represented by a binomial ideal. In this paper, we give standard bases for the ideals in a localization of the multivariate polynomial ring in the case of the linear codes over prime fields.
Aplikasi Pengenalan Tanaman Obat Tradisional

Traditional medicinal plants tend to be rarely known to the public in both rural and urban areas. There are even herbal plants that are actually beneficial but are considered wild plants that are wasted so much. Many articles about medicinal plants are recorded in a book but people tend to have no time to look for benefits of these medicinal plants because the simple appearance and the lack of public interest in reading books. Referring to the problem, and with the development of technology, it is necessary to have an application that can shows the importance of medicinal plants to the community. This application aims to explain the benefits of traditional medicinal plants. Android-based smartphone application is become one of the solutions. Considering that smartphones have become one of the primary needs for the public that is practical and can be used at any time. The stages of this study include needs analysis, system design, implementation and testing. This application was developed with Costruct 2 as a framework, Corel Draw X7 and Photoshop to design images in the application. Testing this system used the black box method where all tested scenarios get valid results. Then the questionnaire testing to the public gets the highest percentage score of 76,25%. Final result of this research is the application to introduce the traditional medicinal plants to help the public in understanding the benefits of various medicinal plants types.
Pengaruh Ice breaking terhadap Minat Belajar Siswa Kelas V SD Negeri 10 Manurunge Kecamatan Tanete Riattang Kabupaten Bone

The problem in this study is the low interest in learning of fifth grade students at SDN 10 Manurunge, Tanete Riattang, Bone District. The formulation of the problem in this study is how the description of Student Interest in Class V of the 10th Elementary School Manurunge Tanete Riattang, Bone District and whether there is a significant influence on the application of Ice breaking on student learning interest. The purpose of this study was to describe the interest in learning for fifth grade students at SDN 10 Manurunge Tanete Riattang sub-district, Bone Regency, then to find out the picture of students' learning interest after applying ice breaking to fifth grade students at Manurunge 10 Public Elementary School, and to determine the effect of ice breaking towards student learning interest. The research approach is a quantitative approach. This type of research is quasi-experimental research in the form of a non-equivalent control group design. There are two research variables namely the independent variable (ice breaking) and the dependent variable (learning interest). The total population is 96 students. The research sample was selected using a purposive sampling technique. Data collection techniques in this study used a questionnaire and documentation. Data was collected by giving Pre-test and Post-test and analyzed using descriptive statistics and inferential statistics. Based on the analysis results obtained sig. (2 tailed) 0,000 &lt;0.05 which means that there are significant differences in the average student interest in learning, so it can be concluded that ice breaking has a significant effect on student interest in learning.
Pengaruh Model Pembelajaran Treffinger Terhadap Hasil Belajar Matematika Siswa SD Negeri 37 Model Parepare

This study examines the trial of treffinger learning models on mathematics subjects in elementary school students of SD 37 Model Parepare. The aim of this study was to find out whether there is an influence of Treffinger learning model on mathematics learning outcomes of students of SD Negeri 37 Model Parepare. This study uses a quantitative approach to the type of experimental research and uses the Quasy Experimental design in the form of The Nonequivalent Pre-test Post-test Control Group Design. The sampling technique used in this study was purposive sampling with a sample of 67 students. Data collection techniques used in this study were observation, tests in the form of multiple choices, and documentation. Data analysis uses descriptive statistical techniques and inferential statistics. The results of hypothesis testing using the Paired Sample T-Test test obtained significance of 0.00 (0.00 &lt;0.05) and the results of the analysis of the t test obtained values - tcount &lt;- t table (-17.999 &lt;-2.037) indicate that H0 is rejected which means there are differences in the average mathematics learning outcomes of elementary school students 37 Model Parepare between before and after the use of the Treffinger learning model. Based on these results, it can be concluded that the Treffinger learning model influences the mathematics learning outcomes of students of SD Negeri 37 Model Parepare.
Iterated learning Revealed Color-contigent Structured Priors in Visual Memory

Visual working memory is a reconstructive process that requires integrating multiple hierarchical representations of objects. This hierarchical reconstruction allows us to overcome perceptual uncertainty and limited cognitive capacity, but yields systematic biases in working memory, as individual items are influenced by the ensemble statistics of the scene, or of their particular group. Given the importance of the hierarchical encoding of a display for visual memory, we aim to characterize what structured priors people use to encode visual scenes. To discover these priors, we use an iterated learning task, in which participants recall the locations of 15 dots and the report of one person becomes the stimulus for the next person in the “chain”. Over many iterations of such a chain, reported locations will increasingly reflect the prior biases that people bring to bear on the encoded visual display. Previously, we showed that such iterated learning chains reveal the patterns of spatial grouping people expect when encoding homogenous positions -- priors that appear to correspond to the Gestalt rules of proximity, continuity and similarity. The current study further examines how surface features (namely colors) influence encoding of visual displays and influence spatial grouping in visual working memory. We found that distinct colors dominate spatial factors (such as proximity and continuity) in grouping. The reported positions tend to converge toward tight, segregated color clusters that are increasingly linear, and regularly spaced. This indicates that distinct colors dominate spatial proximity and continuity in visual working memory grouping. We built several ideal observer clustering models to identify which assumptions are critical to emulate human behavior, and find that human performance is consistent with spatial clustering under strong assumptions of within-group color homogeneity.
Blockchain Research Agenda for Accounting

Blockchain technology is causing a commotion in the business environment. Senior executives and board of directors are continuing to monitor and, in some cases, invest in blockchain with the hope of gaining a competitive advantage. However, the technology itself is still in the development stage. Even though there are many use cases presented for blockchain, the technology has to mature in order for firms and the business ecosystem to reap the benefits of the technology. Although traditionally the accounting profession has reaped the benefits of technological advancements, the profession has taken a more reactive approach to technology adoption. The purpose of this paper is to encourage the accounting profession to take a proactive approach and influence the development of blockchain by engaging in research related to blockchain technology. Therefore, in this paper, I provide a list of broad research questions related to blockchain based on major research areas in accounting. Given the broad range of questions presented here, accounting researchers can significantly influence the development and adoption of blockchain if researchers are willing to extend current research to a blockchain context.
APRESIASI TERHADAP BATIK SISWA SEKOLAH MENENGAH KEJURUAN

The purpose of this study was to describe appreciation of batik. This study included the type of ex-post facto research. Data collection method used questionnaire and documentation. Data analysis techniques used descriptive analysis techniques to find the average value, standard deviation, mean, median, and mode. The results showed that the perception of batik was in a high category with a relative frequency of 75.86%. Data on students' perceptions of batik has four indicators, namely the level of fondness, enjoyment, reaction, and productivity. Frequency distribution and indicator categories are explained as follows. (1) The level of interest in batik in the high category. (2) Enjoy levels of batik. (3) Levels of reacting to batik in sufficient categories. (4) Productive levels of batik in sufficient categories.
Numerical Analysis of Long Period Wave Characteristics in Sea Area Based on Mathematical Probability and Statistics

Yu, M. and Du, H., 2019. Numerical analysis of long period wave characteristics in sea area based on mathematical probability and statistics. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 119–124. Coconut Creek (Florida), ISSN 0749-0208.In order to improve the numerical analysis ability of long period wave characteristics in sea area, a numerical analysis method of long period wave feature in sea area based on mathematical probability statistics is proposed. The big data statistical analysis model of long period wave feature analysis in sea area is constructed, and the feature modeling and probability density feature analysis of long period wave data in sea area are carried out by using fuzzy association rule feature mining method. Combined with the mathematical probability statistical method, the fuzzy regional clustering processing of the long period wave data in the sea area is realized, and the feature quantity of the association rules of the long period wave in the sea area is extracted. The fuzzy clustering of the long period wave in the sea area is carried out by using the fuzzy C means clustering fusion method, and the random probability density distribution characteristic quantity of the long period wave in the sea area is excavated in the data clustering center. Combined with the feature space distributed structure reorganization method, the long period wave data is reorganized in the sea area, and the transmission control and feature numerical analysis optimization of the long period wave data in the sea area are realized. The simulation results show that the numerical analysis of long period wave characteristics in sea area is accurate and the data clustering performance is better, which improves the evaluation ability of long period wave dynamic evolution in sea area.
Enhancing Entrepreneurial Orientation and Business Development Capacity of Architects in Nigeria

Due to global financial crisis, unpredictable economy, societal changes and changing market demands there has been significant challenges and changes in the practice of architecture that calls for architects and architectural firms to adapt, innovate and re-design their business models in order to stay competitive.Scarcity of financial resources, integrated contracts and increasing competition among actors in the architecture, engineering and construction (AEC) industry, has made the scope of architectural services to become less defined (Bos-de Vos, et al., 2014).In order to create and appropriate value architects have to become better and more knowledgeable entrepreneurs.Value creation in the creative industry in which architecture belongs has two dimensions -the symbolic (creative) and economic (Van Andel and Vandenbempt, 2012).The economic dimension keeps the business afloat and prosperous.It has as entrepreneurial construct factors such as planning, decision-making, innovation, marketing strategies, management, risk-taking, persistent, and financial management.The creative (symbolic) dimension plays an important role in value creation and capturing design processes of architectural firms (Bos-de Vos, et al., 2014).The architect plays many roles as problem solver and social engineer within the context of finding solutions to pressing issues of physical development, as an educationist and as an entrepreneur or businessman.Traditionally, the architect is trained to ultimately go into private practice with emphasis on building designs and supervision without adequate preparation to utilise opportunities opened to him in other business areas.Consequently, the architect fails to adapt to changing conditions in the economic and business environment.The business environment is an ever-changing area of activity.Many graduates of the departments/schools of architecture practice architecture by necessity (Reinholdt, 2015).Today's economic reality requires the reconciliation of the world of design and form with the world of business development (Reinholdt, 2015).However, due to the nature of their training, with no firm background on entrepreneurial and business development, architects in Nigeria are not equipped to practice with an appreciable degree of effectiveness and competitiveness.Therefore, there is need to develop practical approaches that merge entrepreneurship with the practice of architecture to create better value for the work of architects in Nigeria.
Injury Prevention Methods in Island Survival Training

Liu, T., 2019. Injury prevention methods in island survival training. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 536–541. Coconut Creek (Florida), ISSN 0749-0208.Aiming at the problem of low coincidence between simulated and actual values of injury prevention methods in island survival training for university students, a method of injury prevention in island survival training based on PCA-SIFT features and Bayesian decision-making is proposed. This paper analyzed the most common injuries in island survival training for university students: ankle and knee joint; it also used generalized cross validation criteria and genetic method to select the optimal threshold to denoise the curved wave coefficients obtained. The extension frequency of the denoised image is used to enhance the ankle and knee joint images of university students. The PCA-SIFT features of each kind of image are extracted randomly from the sample set, and the unstable features are eliminated by the matching ratio. Bayesian decision-making is used to classify and process the images to be classified, the relevant information of ankle and knee joint injury of university students is obtained, and the prevention and treatment plan is obtained according to the information of injury and disease. The experimental results show that, compared with other methods, the proposed method has 99% coincidence between simulated and actual values in predicting injury and illness in island survival training for university students, which verifies the effectiveness of the proposed method.
Growth GROWTH DESCRIPTION (BB/U, TB/U, BB/TB) CHILDREN AGE 4-5 YEARS (In Endah Kinder Garden Bandar Lor Subdistrict Mojoroto, Kediri City)

Growth (growth) is a quantitative change, which is increasing the number, size, dimensions at the level of cells, organs, and individuals, one of the important factors that influence child development is nutritional factors. The root of the nutritional problem is the economic, political and social crisis in society, causing food shortages, poverty and high rates of inflation and unemployment. This study aims to determine the growth picture (BB / U, TB / U, BB / TB) of children aged 4-5 years at Kindergarten Endah Bandar Lor, Mojoroto District, Kediri City.&#x0D; The design of this research is descriptive with cross sectional approach. The population of all children aged 4-5 years at Kindergarten Endah Bandar Lor, Mojoroto District, Kediri City. The sampling technique used was Total Sampling, so a sample of 28 children was obtained. The research variable is the growth of children aged 4-5 years. data collection using observation sheets, measuring height and weight. Data processing by editing, coding, scoring, tabulating. Data were analyzed using percentages.&#x0D; This research was conducted on 28 respondents with the results of Height / Age 25 respondents in the normal category, Weight / Age 21 respondents in the category of good nutrition, Weight / Height 20 respondents in the Normal category&#x0D; It is expected that health workers are more active in providing counseling about child development to the community.&#x0D; From the results of this study it can be concluded that the growth of children aged 4-5 years old at TK Endah Bandar Lor is normal. It is expected that health workers will collaborate with the school and parents for monitoring and stimulating children's growth.&#x0D;
AI based Game Bot

Today, we strive to create better and better human beings every day, in every field.Games have existed in human history ever since a long time and are responsible for developing various qualities in humans like strategy developing, decreasing response time etc.So, in this paper, we put forward a method in which a computer will learn how to play computer games using machine learning and AI algorithms and the computer will master the game.We can then use this computer to train humans while allowing them to compete them against the computer and the best part is the computer will constantly be learning the player's moves and getting better and better so as to create a healthy, tough competition for the human.
Regularization for Linear Models

Regularization is the technique of adding a parameter, λ, to the loss function of a learning algorithm to improve its ability to generalize to new examples by reducing overfitting. The role of the extra regularization parameter is to shrink or to minimize the measure of the weights (or parameters) of the other features in the model.