Reviewerly/exHarmony huggingface dataset:
Penggunaan Metode Naive Bayes Classifier untuk Mengevaluasi Kinerja Akademik Mahasiswa di Perguruan Tinggi

Inaccuracy in selecting faculties at universities is one of the constraints experienced by students which affect academic values or student performance which affects the accuracy of student graduation, in developing a performance it is necessary to know the individual talents of the students, this is the background of the application The Naive Bayes Classifier (NBC) Algorithm method in admitting new students to find out the talents and interests of students, with the NBC method it is expected that there will be an increase in the activity of students in higher education. The research that we do focuses on evaluating the success of administering a department at a university. Our research focuses on evaluating the success of administering a department at a university using the Naive Bayes Classifier (NBC) algorithm. Because the success of student academic performance is very dependent on the level of student ability to develop the knowledge they have. So that to evaluate the performance of students, a method is needed, namely the Naive Bayes Classifier (NBC) algorithm to analyze the level of student performance. The results of this study will show which are very influential on the provisions of a classification of a student's academic performance. The results can be based on the Achievement Index (IP) so that the results obtained by the method used can be used as evaluation material for the university or related students.
Sentiment Analysis of Customer Product Reviews using deep Learning and Compare with other Machine Learning Techniques

Sentiment analysis is defined as the process of mining of data, view, review or sentence to Predict the emotion of the sentence through natural language processing (NLP) or Machine Learning Techniques. The sentiment analysis involve classification of text into three phase “Positive”, “Negative” or “Neutral”. The process of finding user Opinion about the topic or Product or problem is called as opinion mining. Analyzing the emotions from the extracted Opinions are defined as Sentiment Analysis. The goal of opinion mining and Sentiment Analysis is to make computer able to recognize and express emotion. Using social media, E-commerce website, movies reviews such as Face book, twitter, Amazon, Flipkart etc. user share their views, feelings in a convenient way. Sentiment analysis in a machine learning approach in which machines classify and analyze the human’s sentiments, emotions, opinions etc. about the products. Out of the various classification models, Naïve Bayes, Support Vector Machine (SVM) and Decision Tree are used maximum times for the product analysis. The proposed approach will do better result as compare to other machine learning techniques.
I-CovidVis – A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs

The current COVID-19 pandemic has promoted the periodic release of several health databases aimed at discovering relationships in the data, detecting similar problems in patients, and studying the evolution of the disease. A way to exploit the data is to use visualization techniques, which can lead to the discovery of insights and patterns, as well as to guide analysis procedures to understand the data. In this paper, we present I-CovidVis, a visualization tool to explore data from interoperable healthcare systems, able to compare and navigate in both global and local perspectives. Our approach is to model data as a graph and explore its structural and temporal views. Our proposal facilitates the perception of patterns, trends, periodicity, and anomalies, resulting in faster decision making.
Innovation University in the EdTech Market

The authors of the article consider the features of the functioning of the educational technologies market. The analysis of the investment attractiveness of projects in the market of digital educational solutions is carried out. The main focus of the article is on the Russian system of higher education, since it is the higher educational institutions that today become not only the drivers of the country's scientific activity, but also the center for the formation of competencies in the field of innovative entrepreneurship among students. This vector of development of Russian higher education leads to the need for constant improvement of the activities of organizations that are forced to restructure their business processes and offer new educational products with the maximum degree of practical orientation. This is the only way higher education institutions can maintain their competitiveness both nationally and internationally. The article evaluates this trend, and also provides the author's approach to understanding the conditions and principles of the domestic EdTech market, which includes the classification of the main market players and the definition of the sector itself, which occupies a unique position at the intersection of science and business.
A comparative study of India and Australia open access repositories in open DOAR

An open access repository or open archive is a digital platform that holds research output and provides free, immediate and permanent access to research results for anyone to use, download and distribute.To facilitate open access such repositories must be interoperable according to the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH).Search engines harvest the content of open access repositories, constructing a database of worldwide, free of charge available research.OpenDOAR is the quality-assured, global Directory of Open Access Repositories.Its repositories provide free, open access to academic outputs and resources.This paper deals with Comparative analysis of India and Australia repositories listed in OpenDOAR in terms of their growth, type, operational status, content type, software, subject coverage, language and policies regarding content, submission, and preservation.
Apakah Paradigma Nonpossitivsm (Interpretif, Kritis dan Posmodernis) dalam Akuntansi ”Ilmiah”?

This study aims to show that the non-positive paradigm, namely interpretive, critical and postmodernist, is scientific research. The technique used in this research is literature study by collecting literature either through journals, articles, news, books, and websites related to scholarship in a non-positive paradigm, namely interpretive, critical and postmodernist. The results show that there are several opinions that state non-scientific research methods are unstructured, subjectivity, can be accounted for, but the truth is subjective, differences with journalistic work, escape from statistics, and accounting originates from mathematics. Some of the previous statements can be countered by proving that the non-positive paradigm is scientific. In addition, there are several scientific criteria that are fulfilled by the non-positive paradigm, namely the purpose of scientific thinking, namely obtaining in-depth information, scientific truth with relevant methods and systems and using deductive / inductive analysis methods. There are several main problems that become criticisms in non-positive research, namely validity and validity, as well as research structure. In making it happen, it is done by testing the validity of the data in qualitative research. In the research structure, the interpretive, critical and postmodernist paradigm already has many examples of procedures, structures and methods so that we can use these examples to model and structure our research and perform data validation and reliability so that the results become scientific. The limitation of this research is that there are several sources of information that researchers need but not in the literature review.
Tingkat Kriminalitas di Kota Banjarmasin dengan Pendekatan Ekonomi

This study examines the influence of (1) the effect of income distribution inequality (Gini ratio), poverty, and job opportunity that simultaneously in crime rates (2) which one of the factors that more dominant effect in crime rates. The object of this study is Banjarmasin City. This research used secondary data in the form of time series for 12 years, started from 2007 to 2018. Data processed used multiple linear regression with software Eviews 9. This study proved that are partially variables income distribution inequality (Gini ratio) was positive and significant. At the same time, variable poverty and variable job opportunity are both positive and not significant in crime rates in Banjarmasin City. Whereas simultaneously, three independent variables were not significant in crime rates in Banjarmasin City. Then, variable income distribution inequality (Gini ratio)is the dominant effect in crime rates in Banjarmasin City.
ON THE TRANSITION TO DISTANCE LEARNING IN CHINA DURING THE CORONAVIRUS PANDEMIC

The emergence and global spread of the new coronavirus infection (COVID-19) in 2020-2021 has made a significant impact on the educational systems of most countries in the world.The need to organize a high-quality educational process has set new challenges for the educational community and the governments of the countries.The first country to take the brunt of the pandemic was the People's Republic of China.Many countries, with different degrees of success, have switched distance learning format.This article examines the transition of PRC's education system to distance learning format in the context of the coronavirus pandemic restrictions.The authors consider the main formats of distance learning (based on the physical location of teachers and students), the pace of transition to distance learning in China, the state policy in ensuring the availability of online education.The data on the rate of transition to online learning published on the official information resources of the People's Republic of China are analyzed.Examples of the main educational platforms of the PRC that provide distance learning opportunities at this stage (Dingtalk, XuetangX, iCourse International, etc.) including those offering joint international educational programs are given.The authors come to the conclusion that the process of transition to distance education in order to combat the spread of the new coronavirus infection in China is a unique example of the rapid and high-quality building of a new paradigm of providing educational services across the country.
Development of a method for improving stability method of applying digital watermarks to digital images

A technique for increasing the stability of methods for applying digital watermark into digital images is presented. A technique for increasing the stability of methods for applying digital watermarks into digital images, based on pseudo-holographic coding and additional filtering of a digital watermark, has been developed. The technique described in this work using pseudo-holographic coding of digital watermarks is effective for all types of attacks that were considered, except for image rotation. The paper presents a statistical indicator for assessing the stability of methods for applying digital watermarks. The indicator makes it possible to comprehensively assess the resistance of the method to a certain number of attacks. An experimental study was carried out according to the proposed method. This technique is most effective when part of the image is lost. When pre-filtering a digital watermark, the most effective is the third filtering method, which is averaging over a cell with subsequent binarization. The least efficient is the first method, which is binarization and finding the statistical mode over the cell. For an affine type attack, which is an image rotation, this technique is effective only when the rotation is compensated. To estimate the rotation angle, an affine transformation matrix is found, which is obtained from a consistent set of corresponding ORB-descriptors. Using this method allows to accurately extract a digital watermark for the entire range of angles. A comprehensive assessment of the methodology for increasing the stability of the method of applying a digital watermark based on Wavelet transforms has shown that this method is 20 % better at counteracting various types of attacks
Keterampilan literasi informasi sebagai upaya pencegahan hoaks mengenai informasi kesehatan di media sosial

People must know how identify and search for credible health information. This study aimed to determine how information literacy activities prevented the spread of health information hoaxes on social media. This study used a qualitative approach and case study research methods. The collect research data through observation, interviews with 15 interviewees, and literature study techniques. The study results found that people obtained health information literacy by utilizing social media that is used daily. First, people recognized when they needed information, meaning they already understood when to search for information and knew what information to seek. Second, people can find information was performed in various ways, such as choosing a mass media portal that was easy to use, searching for specific information by including keywords or hashtags. Third, people evaluate the information found by knowing who made the information. Who disseminates the information? Are social media accounts trustworthy? Does the skill match the required information? Fourth, people use the obtained information effectively. People only chose the information that was suitable for what they felt and needed. Conclusion this research is people that who use social media must have information literacy expertise in finding health information so that avoid hoax information widely circulating today.
MapLooper: Live-looping of distributed gesture-to-sound mappings

This paper presents the development of MapLooper: a live-looping system for gestureto-sound mappings.We first reviewed loop-based Digital Musical Instruments (DMIs).We then developed a connectivity infrastructure for wireless embedded musical instruments with distributed mapping and synchronization.We evaluated our infrastructure in the context of the real-time constraints of music performance.We measured a round-trip latency of 4.81 ms when mapping signals at 100 Hz with embedded libmapper and an average inter-onset delay of 3.03 ms for synchronizing with Ableton Link.On top of this infrastructure, we developed MapLooper: a livelooping tool with 2 example musical applications: a harp synthesizer with SuperCollider and embedded source-filter synthesis with FAUST on ESP32.Our system is based on a novel approach to mapping, extrapolating from using FIR and IIR filters on gestural data to using delay-lines as part of the mapping of DMIs.Our system features rhythmic time quantization and a flexible loop manipulation system for creative musical exploration.We open-source all of our components.
Predict COVID-19 Spreading With C-SMOTE

Data continuously gathered monitoring the spreading of the COVID-19 pandemic form an unbounded flow of data. Accurately forecasting if the infections will increase or decrease has a high impact, but it is challenging because the pandemic spreads and contracts periodically. Technically, the flow of data is said to be imbalanced and subject to concept drifts because signs of decrements are the minority class during the spreading periods, while they become the majority class in the contraction periods and the other way round. In this paper, we propose a case study applying the Continuous Synthetic Minority Oversampling Technique (C-SMOTE), a novel meta-strategy to pipeline with Streaming Machine Learning (SML) classification algorithms, to forecast the COVID-19 pandemic trend. Benchmarking SML pipelinesthat use C-SMOTE against state-of-the-art methods on a COVID-19 dataset, we bring statistical evidence that models learned using C-SMOTE are better.
Mapping of ImageNet and Wikidata for Knowledge Graphs Enabled Computer Vision

Knowledge graphs are used as a source of prior knowledge in numerous computer vision tasks. However, such an approach requires to have a mapping between ground truth data labels and the target knowledge graph. We linked the ILSVRC 2012 dataset (often simply referred to as ImageNet) labels to Wikidata entities. This enables using rich knowledge graph structure and contextual information for several computer vision tasks, traditionally benchmarked with ImageNet and its variations. For instance, in few-shot learning classification scenarios with neural networks, this mapping can be leveraged for weight initialisation, which can improve the final performance metrics value. We mapped all 1000 ImageNet labels – 461 were already directly linked with the exact match property (P2888), 467 have exact match candidates, and 72 cannot be matched directly. For these 72 labels, we discuss different problem categories stemming from the inability of finding an exact match. Semantically close non-exact match candidates are presented as well. The mapping is publicly available athttps://github.com/DominikFilipiak/imagenet-to-wikidata-mapping.
The Far-Eastern Ritual “Bear Holiday” in the Space of Computer Musical Technologies

In the present article music computer technologies are examined as an instrument of preservation, modeling, and construction of lost timbres, intonational models and sound spaces. The musical sequencer, which is one of the basic elements of contemporary music computer technologies, is perceived within the frameworks of comprehension of the theory of the “complex model of the semantical space of music.” The possibility of reconstruction (or, simply, construction) of the previously existent sound semantic space, or the creation of a new space by means of a sequencer, is examined. An example of such a reconstruction of the ritual of the Bear Holiday pertaining to the peoples of the Russian Far-East is presented on the basis of a variation-rondo-type poly-structural composition consisting of several different movements. The development of a complex model of the semantic space of music is recognized as one of the topical conceptions of understanding the contemporary processes in the sphere of computer music technologies. The authors arrive at the conclusion about the possibility (and the necessity) of a special type of construction by means of a sequencer of sound semantic spaces of lost traditional rites, as well as the reconstruction of the timbres, manners of intonating and sound effects. Special mention is made of the potential for forming a new unique structure of a musical space existing with the aid of a sequencer. Keywords: Bear Holiday, sound beam, music computer technologies, integrative model for the semantic space of music, sequencer.
Prediction of bank frauds by SMS or voice, from cell phone data analysis: A Systematic Literature Review

In recent years there has been a marked increase in bank fraud by SMS (Short Messaging System) and voice. One of the factors contributing to increase in cases of SMS fraud is the low cost of acquiring large volumes of messages, the reliability (the message will reach the recipient) and the fact that it does not need the Internet to reach the victim. In relation to financial fraud by voice, these can be used to persuade victims to make bank transfers to fraudulent accounts, with the promise of receiving large sums in prizes. The prevention of these types of fraud is not a trivial task, as it requires the application of appropriate techniques and methods depending on their nature. This article presents a Systematic Literature Review (SLR) from 2015 to 2020, with the aim of analyzing the state of the art on bank frauds committed by SMS or voice. The SLR allowed the identification of the most common types of bank fraud by SMS or voice, and the respective detection techniques.
Seed Dropping UAV: Design of Seed Dropping UAV in Afforestation

In the modern world UAV is the most developing technology around the world.In our research, we are going to fix a seed ball sowing system inside the fuselage of the Fixed wing UAV.We are going fly the plane over the forest areas and drop the seed ball in the lower dense forest areas.We have constructed a regular fixed wing UAV with the basic calculations.The plane is initially tested manually to calculate the payload carrying capacity, durability and covering range of the plane.From the obtaining results we are going to design a seed ball sowing system with appropriate flight conditions, and it will be fixed at the point of center of gravity of the fixed wing UAV.In this report we explain how the seed ball sowing system is designed and how is going to work.
Analisis Kualitas Air Lindi dan Permukaan pada areal TPA Sowi Gunung dan Sekitarnya di Kabupaten Manokwari Papua Barat

The aim of the research was to determine the quality of leachate water in the processing unit (IPAL) of TPA Sowi Gunung and the quality of surface water around the TPA in relation to the operation of the IPAL TPA.The method used in this research is descriptive method with cross sectional survey technique by collecting leachate samples from the IPAL unit and surface water samples from two springs around the landfill area accompanied by in situ measurements of pH parameters and continued with 6 parameter quality analysis others (TSS, TDS, BOD, COD, N-total, TOC) at the Laboratory of the Center for Environmental Research, University of Papua. The result of the research it is known that the parameters of pH, TSS, BOD, COD, N-total, and TOC in the TPA IPAL unit are categorized as under quality standards (PerMenLHK No.59 of 2016 concerning leachate quality standards for businesses and / or activities for final processing sites trash).In particular, the TDS parameter does not have a tolerance limit corresponding to this quality standard so that it becomes a separate consideration in its management considering that water with a high amount of dissolved solids&gt; 1000 mg / L has an unpleasant taste, so it is not suitable for consumption.Likewise, the quality of surface water at 2 (two) observation points of springs through parameters of pH, TSS, TDS, BOD, COD, N-total, and TOC are categorized as under class I water quality standards according to PP No. 82 of 2001 concerning water quality management and water pollution control.
Ethical Dilemma Decision Making Based on Personality: The Case of Installation of a Keylogger System

BACKGROUNDToday, we face society 5.0, which is the fifth stage of the four previous stages of the hunting society, the agrarian society, the industrial society, and the information society (Fukuda 2020).The fast progress of information and technology creates an unexpected explosion of digital data and emerging and growing cyberspace (Fukuda 2020).This condition force industry to work effectively and efficiently.Using artificial intelligence can be a solution.The use of artificial intelligence (AI), namely face recognition, chatbots, and robots in the industry, are common.It is to help us, human.At a certain point, artificial intelligent able to make autonomous decision making.Unfortunately, the urge of growing innovation is not supported with the thorough consideration of moral, societal and legal consequence.This gap creates a grey area for unethical conduct.One ethical dilemma in business regarding artificial intelligence is the existence of a key logger system.Keylogger system allows the user to captures typed character or number, including document content, password, user id, visited website, URL, and do a screen-shot (Tuli & Sahu 2013).In general, network monitoring might give the company several benefits, including protecting business secret formula / intellectual property; prevent sabotage and data theft; abuse through internet/email among coworkers; reduce workplace slackers; and improving efficiency and productivity (Tuli & Sahu 2013).A key logger system might improve employee productivity since it can check on employees' time on social media or nonproductive sites (Bhardwaj & Goundar 2020).Despite the company's benefit, the setting up of the key logger system makes the workers feel uncomfortable since their