Reviewerly/exHarmony huggingface dataset:
Guitar Simulator Based on Realtime Recording

Music is an art that combines several compositions of musical instruments. Among them are vocals, piano, guitar, bass, drums, and so on. To play a musical instrument also requires a technique to a formula, so that the music game becomes more harmonious. Techniques and formulas in playing musical instruments include tempo, rhythm, how to play a musical instrument, to chords. But for people who are just learning to play a musical instrument, it is certainly difficult to know the formula for the chords to be played. Not to mention when the sound of the chord being played is different from the sound of the intended chord. This can change a song being played sound fake or deviate from the actual song. Often in learning to play musical instruments, some media do not explain or explain how the chords are played and whether the chords are played correctly. One way to determine the accuracy of the chord sound in a self-taught music game, can be done using the help of Machine Learning. This method records the sound of guitar chords being played and classifies guitar chords according to their original sound. However, chords that can be classified are still limited to basic chords, because they are intended for the most basic learning. And for the display of the chord formula that is played it will be more interactive when using game design.
Application of real and complex splines in infocommunication problems

The work offers the solution to problems of analysis and synthesis of infocommunication systems with the help of real and complex spline functions. The use of the spline approximation method for solving problems of recovery of random signals and self-similar traffic, management of network objects and network as a whole, and procedures of infocommunication objects and networks functioning is offered. To solve the problems of forecasting, in particular, forecasting the characteristics of network traffic and maintaining the QoS characteristics in its service and formation of requirements for network buffer devices, developed spline extrapolation based on different types of real spline functions, namely: linear, quadratic, quadratic B-splines, cubic, cubic B-splines, cubic Hermite splines. As a criterion for choosing the type of spline function, the prediction error is selected, the accuracy of which can be increased by using a particular kind of spline, depending on the object being predicted. The use of complex flat spline functions is considered to solve the class of user positioning problems in the radio access network. In general, the use of real and complex spline functions allows obtaining the results of improving the Quality of Service in the infocommunication network and ensuring the scalability of the obtained solutions.
PROMES SERIBU ATM Mewujudkan High Skill dalam Pembuatan Dokumen

The skills that must be possesed by students of the Automation and Governance (OAG) competency are making document with predetermined standards. OAG students have not been able to meet the time standard and the number of errors in making documents. The author combines a ten-finger typing system with a blind typing system using the Typing Master application. PROMES THOUSAND ATM is an acronym for Ten Finger Blind System Typing Program Using Typing Master Application. This program has been implemented since the 2016/2017 academic year at SMK Negeri 2 Tegal. Through this learning strategy, students can create documents according to standards. It is proven by the increase in learning outcomes for Office Technology subjects, PKL scores and UKK OTKP scores. With an average learning completeness of 91.09%, an increase in the value of street vendors by 90.59% and the achievement of the UKK score with an average of 91 on the task of making documents.
Pendidikan di Masa Pandemi Covid-19 (Pemanfaatan Information Communication and Technology)

The era of the industrial revolution 4.0 brings challenges for educators to improve learning. In the 21st century learning framework requires easy generations to have skills and knowledge in the field of technology. Especially during the current covid-19 pandemic,itrequirs generations to utilize Information Technology and Communication in the learning proces. This study aims to discuss issues realated to the use of Information and Communication Technology in improving education in the era of the Covid-19 pandemic. The research methodology used is a qualitative research type through library research which is interpreted to produce information in the form of knowledge.The results of the discussion of this research show that Information and Communication Thechnology has a major influence in the era of the Covid-19 pandemic. The Ministry of Education issues a policy with distance learning (online) with the From Work Home System. Information and Communication Technology has several benefits including:(1) increasing student motivation;(2) Gaining insight from the horizon of thinking;(3) Fostering a spirit of togetherness;(4) Effektive and efficient digital portfolios;(5) Being a measuring tool used at school. The application in the online learning process are: Zoom application,google Hangouts application,whatsapp application,teacher room application,zenius learning application, and e-learning application.Learning media used to improve distance learning process (online) such as:internet,e-learning,e-mail,PowerPoint, and learning CDs. By utilizing learning media and application like this,it is easy for generations to have skills and abilities in terms of using and utilizing Information anf Communication Technology properly.
Digital Texts Support Remote Learning: The Teachers’ and Students’ Perceptions

During the Covid-19 pandemic outbreak, the teachers and their students carried out online distance learning by reading text digitally. This study aims to determine the teachers’ and students’ perceptions towards the use of digital text. The writer applied a quantitative qualitative research design. The participants of this study were six teachers from SMAN 2 Luwu and one teacher from SMK Kristen Seriti; 40 students from SMAN 2 Luwu and SMK Kristen Seriti. The participants were selected by using total sampling technique. The instruments were a questionnaire and a structured open-ended interview. The data were analyzed quantitatively and qualitatively. The results showed that the implementation of digital text was less attractive to students. This was evidenced from questionnaire results which showed that 75% of SMAN 2 Luwu students and 45% of SMK Kristen Seriti students think digital text cannot be understood easily than direct explanations from the teacher. However, students assume that they feel challenged to read the digital text without an immediate answer from the teacher. Moreover, the teachers (50%) agreed that digital text is beneficial in delivering material. This study is hoped to give meaningful information for the teachers, students, and further researcher.
The Correlation between the Students’ Reading Habit towardtheStudents’ Vocabulary Mastery

The objective of this study was to find out the correlation between students’ reading habit and vocabulary mastery at the second-grade students’ in SMA Negeri 1 Campalagian in the academic year 2019/2020. This study was a quantitative correlational study. The population of this study was all second-grade students with 384 total numbers of students which was divided into 11 classes. A class was selected as samples with 33 total numbers of students by using the cluster random sampling technique. In collecting the data, the researchers distributed a questionnaire to measure students’ reading habits and a test to measure students’ vocabulary mastery. In analyzing the data, the researchers used Pearson Product Moment formula. From the data analyzed, the results showed the correlation coefficient was higher than the r table (0,448 &gt; 0.442). Additionally, the value of significance (Sig. 2-tailed) was 0,009 and lower than 0.05. Therefore, the results indicated that there was positive correlation between students’ reading habit and vocabulary mastery.
Vocabulary Assessment Strategy of English Teacher in Junior High School

In language learning, vocabulary mastery is very important, so a comprehensive language learning strategy is needed. Vocabulary is all words contained in a language, students must know vocabulary to produce a sentence. Vocabulary is also a fundamental element for learning English. Thus, the purpose of the study was to find out whether the strategies and methods that teachers use in junior high school in English learning can improve students' vocabulary or not. The subjects analyzed in the study were English teachers in junior high school. This research uses a qualitative research approach with survey research design in the form of Google forms. Researchers gave 10 related questions about vocabulary assessments conducted by Junior High School English Teacher and then shared with each respondents. The results of this study show that the teacher always use vocabulary in learning English for one semester, the learning resources they use are books, dictionaries and the internet, 80% of the teachers used multiple choice and essay types for questions about vocabulary, 70% of teachers used more than 10 test items to test vocabulary mastery in a meeting session, 80% of teachers agree that vocabulary learning can be combined with other learning materials in English, 70% of teachers always give assignments to students regarding vocabulary material, 80% of teachers use the learning media method for vocabulary learning, on average, teachers use 40% of vocabulary material in student exams. With strategies and methods used by teachers only 50% can achieve the target to add vocabulary to their students.
Enhancing Students Speaking Skills by Making Video Youtube TUTORIAL AS PROJECT BASED LEARNING

The aims of this study were to know how effective of making video tutorial as project-based learning to improve students speaking skills and to know the student’s attitude toward project-based learning. This study employed mix method design, both qualitative and quantitative research design. The researcher used purposive sampling. The selection was based on the characteristics of the population and the purpose of the study. The subjects were 30 students of informatics management program. The result of this study showed that the mean score of experimental group was higher than control group. The pronunciation aspect, the mean of experimental group got score 81.3 and in control group got score 75.07. In grammar aspect the mean score of experimental group was 80.9 and in control group was 73.63. The mean score of experimental group in vocabulary aspect was 81.4 and the control group was 74.5. The last aspect was fluency, the mean score in experimental group was 80.9 and in control group was 75.03. From the students attitudes also showed good effect toward implementation of project-based learning in improving students’ speaking skill.
An Analysis of Teacher’s Technique Speaking on Class During Covid-19 at Second Grade of Junior High School

AbstractThe title of this research is "An analysis Teacher's technique and Media in teaching speaking during Covid-19 at the second grade of SMP Swasta Amalyatul Huda Medan." In the Covid-19 pandemic situation, the government has announced online learning activities. The relationship between this policy and teacher learning strategies is interesting. Therefore, this study focuses on the method used by teachers in carrying out learning during the Covid19 pandemic, distance learning (PJJ). This will allow you to learn optimally, effectively, and correctly. This study aims to explain teacher techniques in teaching specs during the Covid19 pandemic. This study uses a descriptive qualitative approach. The subject is an English teacher class VIII. Data collection methods in this study were observation, interviews, and recording. Two learning methods are used when analyzing online teacher learning methods that support virtual media. One of them is the mapping method through the Google Classroom application; the results of the answer sheets are collected directly at the school, then the second learning method becomes a problem. Questions and answers via Zoom Meetings and WhatsApp groups. This study concludes that the teacher's strategy in teaching speaking at SMP Swasta Amalyatul Huda in Medan during the Covid19 pandemic can be seen in terms of educational goals, educational approaches, and methods.
APLIKASI KLASIFIKASI SENTIMEN PADA ULASAN SMARTPHONE DI SITUS JUAL BELI ONLINE BERBASIS WEB MENGGUNAKAN NAIVE BAYES DENGAN TF-IDF

Consumer satisfaction can be seen through the product review column and everyone is free to see it, but the problem that occurs is that limited human resources make business owners and prospective smartphone product buyers unable to read all the reviews in a short time. For that we need a method that can assess these reviews automatically. The solution to overcome the limitations in assessing review data is to use machine learning because it produces analysis with a statistical basis with a fairly reliable algorithm with high accuracy that can be used to classify sentiment analysis on smartphone product reviews called Naive Bayes. Web-based classification applications using Naïve Bayes can be made through 5 stages of SDLC written into source code using the web programming language on the Laravel Framework. Before doing the classification, each word in the review data was first given a weight using TF-IDF and all words were successfully weighted and then stored in the database. The results of testing the accuracy of the application achieve very good results, namely 93% and the results of precision and recall which reach numbers above 85% indicate that the Naive Bayes algorithm is functioning well in the application.
Readability and Readability Formulas: English as a Foreign Language Tertiary Education Teachers' Awareness in Shaqra University, Saudi Arabia

This study is an attempt to investigate English as a Foreign Language (EFL) University teachers’ awareness of the readability concept and formulas in Shaqra University, Saudi Arabia. The study also aims at investigating whether this awareness is affected by teachers’ experience. A three-scale questionnaire was designed to gather data from randomly selected 40 EFL teachers. The collected data were analyzed using SPSS program. The results showed that EFL teachers have only an overall awareness of readability concept and are not aware of its formulas. The results also showed that there is a weak relationship between teachers’ awareness of readability and their teaching experience. Based on the findings, the study recommended that the issue of readability and readability formulas should be included in EFL teachers’ pre-service and/or in-service training programmes.&#x0D; Keywords: readability, readability formulas, reading passages, EFL teachers
Artificial Intelligence Tort Liability

First, we must show that there is no limited definition or a specific type of artificial intelligence, and it is in the process of evolving not only every day, but every minute, to make our lives safer and safer. However, everything has a price, and the price of these smart things will cause a set of errors and damages resulting from Defects sometimes, and they have a set of legal consequences resulting from that. In order to be able to prove the defect of these smart products in the event of a danger, it is necessary to prove the error, the damage, and the causal relationship between them. Iraqi jurisprudence has mentioned the methods of explaining the responsibility of proving defects and the role of the judiciary in that; and the role of the expert in resolving these advanced disputes in the field of advances in artificial intelligence.
CODE SWITCHING IN NOVEL ENTITLED “CHINA RICH GIRLFRIEND” BY KEVIN KWAN

Abstract The present paper is a descriptive qualitative research regarding the issue of code switching found in China Rich Girlfriend, a novel by Kevin Kwan. The analysis refers to Poplack‟s (1980) theory that consist three types of code-switching and Gumperz‟s (1982) theory that mentions six functions of code-switching. The result can be concluded as: the dominant types of code-switching by the characters is intra-sentential switching which represents 54 data (46,5%), tag switching is 51 data (44,0%) and inter-sentential switching is 11 data(9,5%). Most dominant functions expressed by the use of code switching found in the novel is interjections which consist 40 data (34,5%), and personalization 34 data (29,3%), addressee specification 19 data (16,3%), message qualification 19 data (16,3%), quotation 2 data (1,8%), and reiteration 2 data (1,8%). Keywords: Code Switching, Sociolinguistics, Novel, Types, Functions
Pendampingan Kegiatan English Club Mahasantri Pondok Pesantren di Kota Metro Melalui Program Peningkatan Kemampuan English Proficiency (Toefl)

TOEFL is known to have a very high level of difficulty. Grammar and vocabulary become a heavy burden for students. Weak understanding in these two skills will hinder their understanding to answer the Listening, Structure, Written Expression, and Reading sections. Facing this problem, the Ma'arif NU Metro Lampung Institute of Islamic Religion organizes an English Language training program assistance (TOEFL) for Islamic boarding school students in the city of Metro, especially those who are studying at IAIMNU Metro. This Mentoring Program is expected to be able to help students to improve their communication skills both orally and in writing in English in the scope of academic understanding through the TOEFL. In this mentoring activity, it is hoped that they will be motivated and equipped with learning and strategies to analyze and answer questions in the TOEFL system.
Strategi promosi perpustakaan khusus : studi pada Perpustakaan Museum Sonobudoyo Yogyakarta

Library promotion is an activity carried out by the library in order to improve the utilization of services and facilities by users. The purpose of writing this article is to describe library promotion activities in general and library promotion carried out at the Sonobudoyo Museum library in Yogyakarta. The method used is quantitative with data collection techniques through observation, interviews, and literature study. The results of this study indicate that the promotions carried out by the Sonobudoyo Museum library are in the form of personal selling, special events, and publications. There are several obstacles in carrying out promotions including the absence of a special team that is responsible for promotional activities, the position of the building is not strategic, and the public's view is not yet adequate about the importance of the library.
The Students’ Perception towards English for Tourism and Hospitality in Terms of Task English Teaching Materials at Tourism Polytechnic of Makassar

English is the language of the present age and it is also a global language. A recent estimation suggests that while around 375 million people speak English as their first language, another billion use it as a second language, or learning (Barančicová and Zerzová 2015). The role of teaching materials plays a significant part in the development of language. This study aimed to describe the students’ perception towards English for Tourism and Hospitality in terms of task English teaching materials. This research applied a quantitative-qualitative approach and descriptive method. The results revealed that students’ perception was in very good category. It concluded that the role of academics and lecturers in conducting task on learning materials is carried out based on the objective of vocational curriculum and the achievement of student competence has been progressing according to the mechanism. It is suggested that in developing and establishing teaching materials, developer, teachers, stakeholder should consider the target perception, and the difficulties faced by the lecturers may be manipulated by preparing a lot before teaching.
MGGAN: Improving sample generations of Generative Adversarial Networks

Generative adversarial networks (GANs) are powerful generative models that are widely used to produce synthetic data. This paper proposes a Multi-Group Generative Adversarial Network (MGGAN), a framework that consists of multiple generative groups for addressing the mode collapse problem and creating high-quality samples with less time cost. The idea is intuitive yet effective. The distinguishing characteristic of MGGAN is that a generative group includes a fixed generator but a dynamic discriminator. All the generators need to combine with a random discriminator from other generative groups after a certain number of training iterations, which is called regrouping. The multiple generative groups are trained simultaneously and independently without sharing the parameters. The learning rate and the regrouping interval are adjusted dynamically in the training process. We conduct extensive experiments on the synthetic and real-world datasets. The experimental results show the superior performance of our MGGAN in generating high quality and diverse samples with less training time.
Optimal Balance of Privacy and Utility with Differential Privacy Deep Learning Frameworks

As the number of online services has increased, the amount of sensitive data being recorded is rising. Simultaneously, the decision-making process has improved by using the vast amounts of data, where machine learning has transformed entire industries. This paper addresses the development of optimal private deep neural networks and discusses the challenges associated with this task. We focus on differential privacy implementations and finding the optimal balance between accuracy and privacy, benefits and limitations of existing libraries, and challenges of applying private machine learning models in practical applications. Our analysis shows that learning rate, and privacy budget are the key factors that impact the results, and we discuss options for these settings.
Choosing Appropriate AI-enabled Edge Devices, Not the Costly Ones

Advances in Edge AI make it possible to achieve inference deep learning for emerging applications, e.g., smart transportation and smart city on the edge in real-time. Nowadays, different industry companies have developed several edge AI devices with various architectures. However, it is hard for application users to justify how to choose the appropriate edge-AI, due to the lack of benchmark testing results and testbeds specifically used to evaluate the system performance for those edge-AI systems. In this paper, we attempt to design a benchmark test platform for the edge-AI devices and evaluate six mainstream edge devices that are equipped with different computing powers and AI chip architectures. Throughput, power consumption ratio, and cost-effectiveness are chosen as the performance metrics for the evaluation process. Three classic deep learning workloads: object detection, image classification, and natural language processing are adopted with different batch sizes. The results show that under different batch sizes, compared with traditional edge devices, edge devices equipped with AI chips have out-performance in throughput, power consumption ratio, and cost-effectiveness by 134×, 57×, and 32×, respectively. From system perspective, our work not only demonstrates the effective AI capabilities of those edge AI devices, but also provide suggestions for AI optimization at edge in details.