Reviewerly/exHarmony huggingface dataset:
IMPLEMENTATION AND RESEARCH OF THE RANDOM FOREST ALGORITHM TO SOLVE CLASSIFICATION PROBLEMS

Introduction.Solution trees are one of the most commonly used ways to build recognition algorithms in modern information processing systems due to their many advantages, in particular, the possibility of their application in expert systems.One of the problems solved by expert systems is the classification problem, which is to determine the class of an object from a set of classes known to the expert system.This article is devoted to the possibility of using one type of decision tree ensemble -a random forest -to solve the classification problem.The purpose of this paper is to implement and study the Random Forest algorithm and its application to solving classification problems.Results.The problem of classification by means of a random forest is considered in the work.This is a formalized task that specifies a set of objects that are divided into classes in some way.A finite set of objects is specified for which classes they are known.The Random Forest algorithm is implemented in the Octave environment.The decision tree is implemented according to the CART algorithm.Implemented programs allow us to solve both the problem of binary (two-class classification) and multi-class classification.To study the Random Forest algorithm, the following data sets were considered: passenger classification, seed classification, mobile operator customer outflow classification, credit issuance classification, iris classification, wine classification.The quality of the algorithm was evaluated by the share of correct answers in the deferred sample: 89.04% received correct answers for the Titanic data set, 94.11% for Seeds, 91.66% for Telecom_churn, 90.47% for CreditScoring, 95.94% for Iris, and 93.65% for Wine Quality.Conclusion.As a result of this work, the effectiveness of the application of ensemble methods based on decision trees, which are built using the CART algorithm, was confirmed.Testing showed the accuracy of the results, more than 90%, which indicates the high quality of the algorithm.It is clear that this quality is obtained through the use of several different decision trees, the results of which are summarized in the derivation of the final assessment.
Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract)

On June 28, 2020, while presenting a chess podcast on Grandmaster Hikaru Nakamura, Antonio Radic's YouTube handle got blocked because it contained ``harmful and dangerous'' content. YouTube did not give further specific reason, and the channel got reinstated within 24 hours. However, Radic speculated that given the current political situation, a referral to ``black against white'', albeit in the context of chess, earned him this temporary ban. In this paper, via a substantial corpus of 681,995 comments, on 8,818 YouTube videos hosted by five highly popular chess-focused YouTube channels, we ask the following research question: \emph{how robust are off-the-shelf hate-speech classifiers to out-of-domain adversarial examples?} We release a data set of 1,000 annotated comments where existing hate speech classifiers misclassified benign chess discussions as hate speech. We conclude with an intriguing analogy result on racial bias with our findings pointing out to the broader challenge of color polysemy.
On the Kronecker Product of Matrices and Their Applications To Linear Systems Via Modified QR-Algorithm

This paper studies and supplements the proofs of the properties of the Kronecker Product of two matrices of different orders. We observe the relation between the singular value decomposition of the matrices and their Kronecker product and the relationship between the determinant, the trace, the rank and the polynomial matrix of the Kronecker products. We also establish the best least square solutions of the Kronecker product system of equations by using modified QR-algorithm.
Perpustakaan Sekolah sebagai Sumber Informasi Guru dalam Meningkatkan Proses Pembelajaran di Madrasah Aliyah

This study aims to find out the role of the school library as an information source for teachers in improving the learning process. The method used in this study is a descriptive method with a qualitative approach. Informants in this study were librarian and teachers of Madrasah Aliyah Mathla’ul Huda. Data collection techniques were carried out from December 2019 to February 2020 through observation, interviews, and documentation studies. Data analysis techniques in the form of data collection, data reduction, data presentation, and conclusion. The results of this study indicate that the information sources in the school library have been utilized by the teachers for a source to prepare learning implementation plans to improve the learning process. Based on the research results, the school library has realized its role as an information source for teachers in the learning process through library collections. In addition, 60% of the existing collections can meet the information needs of teachers. In realizing the role as an information sources, libraries experience obstacles in developing collections due to limited budgets, so that the number of books and subjects available is still lacking in meeting the needs of teachers. In addition, the library space is lacking, so it cannot accommodate large numbers of users. Therefore, the library makes various efforts to overcome, by collaborating with various related parties such as teachers and students in the selection and collections aquicition to suit their needs; cooperating with the Principal in the development of the library, especially in budget/funds.
THE IMPACT OF DYSFUNCTIONAL FAMILY ON ADULT CHILD PORTRAYED IN MY NAME IS LUCY BARTON

This article entilted “The Impact of Dysfunctional Family on Adult Child Portrayed in My Name is Lucy Barton”explaining about the kinds of dysfunctional family and its behavioral impacts on adult child. My Name is Lucy Barton novel was selected because showing most impactedof dysfunctional condition of familyon adult child and how to survive from it. The aim is to find out kinds of dysfunctional family and behavioral impacts. The study uses kinds of dysfunctional family by Sheryl Benton,psychoanalysis by Murray Bowen, and behavioral impacts by Sharon Martin. Descriptive qualitative method is used by presenting data in words and sentences. Reading and selecting quotations from novel to collect data as library research. The result is the adult child survives from abusive and deficient parents. Alone, hopeless, inadequate, guilty and unlovable as the impacted psychological problems faced by adult child.
On Finite 3-Component Mixture of Rayleigh Distributions: A Classical Look

In this study, we have discussed various statistical properties for 3-component mixture of Rayleigh distributions.Here initially, the main properties of mixture distributions are presented and analyzed.Second, some of the famous entropies, measures of inequality are also discussed.Also, the statistical properties of the density functions of r th -, 1 st -and n th -order statistics are derived.Moreover, the parameters estimation of the considered mixture model under the maximum likelihood (ML) estimation is also performed using censored and complete data scheme.Finally, the results on ML estimation are also computed via Monte Carlo simulation study and as well as by using a real-life data set.
DIGITAL TOOLS AND SERVICES IN THE PROFESSIONAL REALM OF MODERN TEACHER

The problem of using electronic educational resources (EER) in teaching is updated. The concept of electronic educational resource is discussed. Their classifications for different criteria are presented. It is noted that digital tools and services are a subset of EER. Classifications and examples of the latter are presented. The reasons important for the teachers to use digital tools and services in their professional activities are defined. Tasks for the teacher t o introduce digital tools and services to teaching are formulated.
Implementasi Sistem Informasi untuk Pemantauan dan Evaluasi Efektivitas E-Learning

This study discusses the monitoring and evaluation of e-learning activities through the LMS (Learning Management System) application of Pamulang University. In the previous process, the system used could only display activities carried out by lecturers that were recorded in the e-learning log. The logs that are displayed only create, update, delete activity, and cannot provide information about the effectiveness of online learning. Other parameters are needed to measure the effectiveness of online learning. One of them is the number of activities lecturers have to do for each subject within a certain period. In each course, the lecturer activity frequency is called create. Create is intended to open discussion topics by providing questions and responses to students' answers. From the results of monitoring, the achievement of creation is not sufficient to determine the success of implementing e-learning at Pamulang University. So that several other restrictions are needed such as participation, intensity, and content suitability. However, problems that occur in other parameters cannot be monitored just by looking at the data from the e-learning log. From these problems, a visual presentation of the activities of lecturers and students is needed which allows Study Programs with low percentages to be identified as quickly as possible, and decision making can be determined. The results showed that the four parameters can be implemented in the system. The average value of student participation in discussion forums is 74.99%, the ratio of the intensity of the activeness of lecturers and students every day of the week during the implementation period is 49.40%. Then the content suitability obtained an average of 0.04% and an average value of 65.90% lecturer activity. The generating facility automatically shows the four parameters in cooperation with the final result considered to assess the effectiveness of e-learning.
Quantification of Resource Production Incompleteness

In a situation where an agent has to produce specific resources using the available ones, it may not be possible to achieve the complete goal, but only obtaining some of its parts.This incompleteness problem calls for reasoning models to make rational decisions. In this paper, we introduce a logic-based framework for measuring resource production incompleteness: the greater the value returned by a measure, the greater is the intensity of incompleteness. After motivating our work by describing situations where the incompleteness measures can be applied, we introduce our framework by using a postulate-based approach. To some extent, the incompleteness measures can be seen as a counterpart of inconsistency measures in resource logics. Here, intuitionistic affine logic is used for representing and reasoning about resource consummation and production. Besides, we propose different notions that are useful for defining different types of incompleteness measures. We also present several measures to illustrate the introduced concepts and notions.
Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework

Efficient deployment of Deep Neural Networks (DNNs) on edge devices (i.e.,FPGAs and mobile platforms) is very challenging, especially under a recentwitness of the increasing DNN model size and complexity. Although variousoptimization approaches have been proven to be effective in many DNNs on edgedevices, most state-of-the-art work focuses on ad-hoc optimizations, and therelacks a thorough study to comprehensively reveal the potentials and constraintsof different edge devices when considering different optimizations. In thispaper, we qualitatively and quantitatively compare the energy-efficiency ofFPGA-based and mobile-based DNN executions, and provide detailed analysis.
Training of future tutors for of the main small nomadic school of the North

The article substantiates the relevance of future teachers’ vocational training majoring in Primary Education and Tutoring for work in an uneducated rural school, where there are great opportunities for individualizing the learning process, creating conditions for the harmonious personal development of younger students. The purpose of the research: the study is aimed at providing scientific substantiation of the relevance of the tutors’ activities and at describing the educational experimental program implemented at the Department of Primary Education of the North-Eastern Federal University concerning primary education and tutoring in the general ungraded and nomadic schools of the North. Research results: teacher training experience was obtained in introducing a new combined profile in the bachelor’s program “Primary Education and Tutoring in the General Ungraded and Nomadic Schools of the North”. The article describes a model for the formation of ethno-educational competence in primary school teachers, ethno-pedagogization of the educational process and the national civic identity as a condition for the successful implementation of the tasks of the new standard for primary school, and deals with the content and stages of the formation of bachelors’ ethno-educational competencies in future primary school teachers as exemplified by Ammosov North-Eastern Federal University.
PriBB: A Benchmark Proposal to Analyze Blockchain Applications Performance

Blockchain is an emerging technology that has gained a lot of visibility in recent years due to its characteristics of transparency and immutability. Many studies have been carried out in order to use this technology in the financial industry, but there are still issues regarding scalability that need to be resolved before the technology can be used. In the literature there are works that perform Blockchain performance analysis of the private model, making comparisons between different platforms. However, no work was found regarding the analysis of the impact that changing parameters has on the performance of private model Blockchain applications. In this context, this article introduces PriBB that contributes to the literature regarding the proposal of a benchmark to evaluate the performance of private model Blockchain applications. In particular, it focuses on the impact that the parameters of block size and interval between blocks have on the performance of applications, since no equivalent work has been found in the literature. The PriBB was evaluated in a real data center environment and aims to assist in the optimization of parameterization of Blockchain applications of the private model. The results are promising and demonstrate that a given parameter can impact more than 100 times the performance in running Blockchain applications.
Sistem Informasi Inventory (SITORY) Berbasis Web Dengan Metode Framwork For The Application System Thinking (FAST )

Inventory management must be considered in the company. Because mismanagement will result in losses in the company. UD. Berkah Jaya is a business engaged in the food and beverage trading business. Inventory management at the shop is still done manually by recording it in a ledger. This causes several problems such as unsuitable stock of goods, checking and searching for goods that take a long time, often expired stock. To solve this problem, a computerized system is needed. This study designed a web-based inventory information system (SITORY) using the FAST method. The use of the FAST method is due to rapid application development and is carried out sequentially according to the stages. This inventory system makes it easier for employees to manage inventory, to make it more efficient and accurate in reporting.
Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract)

An increasingly important process of the internet age and the massive data era is file compression. One popular compression scheme, Lempel–Ziv–Welch (LZW), maintains a dictionary of previously seen strings. The dictionary is updated throughout the parsing process by adding new encountered substrings. Klein, Opalinsky and Shapira (2019) recently studied the option of selectively updating the LZW dictionary. They show that even inserting only a random subset of the strings into the dictionary does not adversely affect the compression ratio. Inspired by their approach, we propose a reinforcement learning based agent, RLZW, that decides when to add a string to the dictionary. The agent is first trained on a large set of data, and then tested on files it has not seen previously (i.e., the test set). We show that on some types of input data, RLZW outperforms the compression ratio of a standard LZW.
Sustainable Development Clustering in East Java Using the K-means Method

East Java Province has an important role in the national economy, given its significant contribution to economic development.Of course, economic development must be oriented towards its usefulness and sustainability.Therefore, this study aims to identify sustainable development clustering in East Java Province and what factors influence sustainable development.The analytical tool used is K-means.The reasons for using the K-Means algorithm are among others because this algorithm has a high enough accuracy to the object size.Based on the results of the analysis, it can be seen that economic performance does not significantly affect the occurrence of sustainable development in East Java.Welfare is able to significantly influence the occurrence of agglomeration of sustainable development in East Java.
Information System for Monitoring High-Risk Pregnant Women

Maternal mortality rates are still high in several areas, including Bantul Regency, Special Region of Yogyakarta. Based on the data obtained from the Bantul District Health Office, from 2018 to 2019, 28 pregnant women died. Posyandu and Puskesmas cadres often encounter problems in collecting data on pregnant women because they still use manual methods. Manual records using books has disadvantages because sometimes pregnant women forget to bring their books. Therefore, an application for recording pregnancy history is needed to enable convenient monitoring by Posyandu cadres, Puskesmas, doctors, and hospitals in order that pregnant women patients can be handled properly in case of emergency. The application used by pregnant women is Mobile App-based, meanwhile, the Web-based Monitoring Information System is used by Posyandu cadres, Puskesmas, doctors, and hospitals. The application allows displaying the medical history and makes it easier for pregnant women to have counseling or examinations without meeting directly with the doctor. If there are any problems in the womb, the doctor will immediately provide a solution or recommendation. The results of the system testing with 15 respondents as users show that 52,1% strongly agree, 37,7% agree, and 10,2% neutral in response to the system interface. The implementation of the information system for monitoring high-risk pregnant women in the majority is accepted by all actors. Hence, it can be concluded that in an attempt to digitalize manual recording of pregnant women's examinations, this information system for monitoring high-risk pregnant women is reliable to be implemented.
Pembelajaran Bahasa Inggris Untuk Anak-Anak Di Pondok Pesantren Kanak-Kanak Bayur Desa Barurejo Kecamatan Siliragung Kabupaten Banyuwangi

The aims of the program is to introduce English to the community, especially to children. English learning methods and materials used in this program are adjusting to the age of children who are still in elementary school. The materials provided are Alphabets, Numbers, Telling stories. While the learning method used is pictures and games. This program is implemented at the Pesantren for children age in Barurejo Village, Siliragung District, Banyuwangi Regency. Through this program, it is hoped to provide opportunities to practice teaching method for IAI Darussalam students which are accompanied by lecturers, and to build strong friendship between IAI Darussalam and community. The result of the program is some children are very enthusiastic in taking part in learning English, and the caregivers ask the team to provide regular English learning at the Pesantren.&#x0D;
Structural Bionic Method of Climbing Robot Based on Video Key Frame Extraction

This paper analyzes the current research status of the bionic climbing robot, and the method of collecting and processing animal climbing video in the bionic design process. Take sloth as a bionic research object, use its tree climbing video as experimental material, split the video into sequence images, extract key frame images that can represent sloth’s key posture. Then analyze its motion state and different stage of climbing the tree, combined with the simplified sloth skeleton structure to do structural bionic research, so as to provide a reference for the structural bionic design of related products.
The effect of using WhatsApp in online learning setting on Indonesian EFL students’ writing apprehension and the relation with their writing achievement

The primary goals of this research are to investigate the students’ writing apprehension level after being taught through WhatsApp in online learning setting and to find out the correlation between writing apprehension and writing achievement. This study was carried out quantitatively and involved one class of grade X which consisted of thirty-five students. The data was collected through English Writing Test and Writing Apprehension Test, a questionnaire that was developed by Daly and Miller (1975). To test the hypotheses, paired sample t-test and Pearson correlation analysis were applied. The finding of paired sample t-test revealed that there was a significant reduction in the students’ writing apprehension level after the implementation of WhatsApp in online writing classes. Meanwhile, for the correlational analysis, it was done three times to obtain more specific results; the correlation of the data before the treatment, the correlation of the data after the treatment, and the correlation of gain scores of the data. The results showed respectively that two correlational analyses had very high correlation and the last one had an average correlation. Furthermore, all findings showed significant negative correlation; meaning that there was a significant inverse relationship between writing apprehension and writing achievement. This implied that the lower the level of writing apprehension is, the higher the score of writing achievement would be. In conclusion, the implementation of WhatsApp in online writing class is effective to improve students' writing achievement and effective to reduce students’ writing apprehension in Indonesian EFL students.
IMPROVING STUDENTS’ LISTENING SKILL BY USING DICTOGLOSS TECHNIQUE (A Classroom Action Research to the Tenth Grade Students of SMA Abdi Agape in the Academic Year of 2019/2020)

This research was conducted in order to know how Dictogloss Technique improve students’ listening skill on descriptive text. This research was done by using Classroom Action Research. It was carried out with the tenth grade students of SMA Abdi Agape in the academic year of 2019/2020. The subject of this research was science X IPS class which consist of 9 students. The instruments used to collect the data were field note, observation checklist table, and listening test. To analyze the data, the researcher used qualitative and quantitative data. In qualitative data, the researcher analyzed the data by using data reduction, data display, and drawing conclusion. In quantitative data, the researcher analyzed the data from the test which calculated by mean score in each cycle. The result of this research showed the improvement of students’ listening skill was successful. The researcher concluded that Dictogloss Technique improved students’ reading comprehension on recount text to the Eighth Grade Students of SMA Abdi Agape. Keywords: Listening Skill, Dictogloss Technique and Classroom Action Research.