Reviewerly/exHarmony huggingface dataset:
DECOMPOSITION OF MODELS OF CONTROLLABLE AND OBSERVABLE TWOTEMPO SYSTEMS

A method of integral manifold is applied to study of twotempo linear on fast variables systems. The use of this method permits us to solve a problem of decomposition of tworate controllable and observable systems. Controllability and observability of these systems are investigated. The application of the method is illustrated on example.
An Empirical Study of Memorization in NLP

A recent study by Feldman (2020) proposed a long-tail theory to explain the memorization behavior of deep learning models.However, memorization has not been empirically verified in the context of NLP, a gap addressed by this work.In this paper, we use three different NLP tasks to check if the long-tail theory holds.Our experiments demonstrate that top-ranked memorized training instances are likely atypical, and removing the top-memorized training instances leads to a more serious drop in test accuracy compared with removing training instances randomly.Furthermore, we develop an attribution method to better understand why a training instance is memorized.We empirically show that our memorization attribution method is faithful and share our interesting finding that the top-memorized parts of a training instance tend to be features negatively correlated with the class label.
Pengembangan Sistem Informasi Persediaan Barang Berbasis Web di CV Kunikita

CV. Kunikita is a distributor in Garut city which is engaged in online sales for various product categories, namely food, fashion and skincare. As a distributor in the field of online sales, the management of storage of goods in the warehouse of CV. Kunikita is still by hand, that is, it is written in a ledger so that inventory information is not accurate. For this reason, it is necessary to use communication information technology in warehouse inventory management, no longer written in a ledger where this will result in data mismatches. The data collection method in this study is a qualitative descriptive method, and the methodology for developing this application is the waterfall SDLC method with black box testing and white box testing. Web-based information system application at CV. Kunikita with a database as a data storage facility that makes data processing and storage more efficient and useful for reporting data on warehouse inventory so that it can quickly take action to fill the warehouse inventory.
Nirmaan: Dataset generation for multiclass scatterplot studies

This paper presents Nirmaan, an open-source web-based tool for generating synthetic datasets of multiclass blobs for use in research related to scatterplots.We demonstrate how to use Nirmaan to generate datasets in the context of a user study where users must determine the centers of each class, but this tool can be used to generate datasets for other scatterplot tasks as well.
Pengembangan E-LKPD Berbasis PBL Menggunakan Flip PDF Professional untuk Meningkatkan Literasi Sains pada Materi Medan Magnet

Nowadays literacy scientific is a demand that must be owned by everyone, both in everyday life and in the world of work. Physics functions as science communication with physics learning that cannot be separated from mastering basic physics concepts, theories or new problems that require answers through understanding. In a learning process, teaching materials are needed as a tool in the learning process, making it easier for students to understand the subject matter. The purpose of this study was to develop an E-LKPD based on the PBL model to improve scientific literacy on appropriate magnetic field materials based on the results of validity and effectiveness tests. This research uses development model ADDIE. The research data obtained from the development of the e-LKPD include the results of the average validation value of 82.61%, the results of the effectiveness test getting an N-gain of 0.39 so that the e-LKPD is categorized as being able to improve scientific literacy skills in the medium category.
Implementation of SDGs in higher education institutions as a key stage in the development of modern education

Modern education requires its stakeholders to understand the present and the immediate future needs. After all, the training of specialists takes place according to the needs of employers and society as a whole. Education has always carried a value basis formed the worldview of those who studied. Since 1992, education has been included in the main directions of global development, and in 2015 it was formulated as goal 4. In addition to declaring equal access to quality learning, it also includes learning other sustainable development goals, and it has a value component. We analyzed approaches to education, on the one hand, in international organizations, on the other hand, in a private educational institution. Here we will show how the design of sustainable development goals at the international level has influenced the awareness of its educational mission in a particular institution of higher education. Education gradually transforms from a classical one, which distances itself from the social situation to an integrated one in social life. Modern education involves business and industry representatives, politicians, and government officials, adapts curricula to business needs, and introduces valuable educational components. All students acquire the knowledge and skills necessary for sustainable development, including through education for sustainable development: appropriate lifestyles, protection of human rights, gender equality, promoting a culture of peace and non-violence through global civic education, and recognition of cultural diversity and cultural contribution to sustainable development.
Improving Technological Features to Increase Continuance Intention on Sakuku Application

The increasing number of smartphone users as well as innovations in the financial industry that continue to come, make e-wallets one of the main payment options for people in Indonesia.However, this trend is opposite to that experienced by one of the e-wallets in Indonesia, namely Sakuku, which has continued to decline.This study is aims to determine the effects of performance expectancy, social influence, hedonic motivation, price saving orientation, habit, trust, and perceived risk on continuance intention of using the Sakuku application based on the UTAUT2 theory.This research used the quantitative approach, survey method and having 144 sampling respondents.The data collected was then processed and analyzed using multiple linear regression.The results of this study are that social influence, price saving orientation, habits, and trust are proven to have a positive and significant effect on continuance intention.Meanwhile, performance expectancy, hedonic motivation, and perceived risk were not proven to have a significant effect on continuance intention.
AN ANALYSIS OF STUDENTS’ GRAMMATICAL ERROR IN WRITING PERSONAL LETTER

T his study aimed to find out grammatical errors in writing personal letter and the most grammatical errors made by the eleventh graders of SMA Negeri 5 Ogan Komering Ilir . This study used descriptive qualitative research method. The subject of the study was the eleventh social one students of SMA Negeri 5 Ogan Komering Ilir in the academic year of 2020/2021. The technique of collecting the data were a writing test using google form . To check the validity and reliability of the test, a triangulation method was applied . The information was presented in a descriptive manner and assessed using a percentage calculation. T he calculations presented that the students made 12.5% sentence pattern errors, 24.1% tense errors, 9.17% pronoun errors, 2.5% preposition errors, 20% punctuation errors, and 31.66% spelling errors.The most dominant of grammatical errors made by students was error of spelling (31.66%).
Fault-tolerant fidelity based on few-qubit codes: parity-check circuits for biased error operators

In the shallow sub-threshold regime, fault-tolerant quantum computation requires a tremendous amount of qubits. In this paper, we study the error correction in the deep sub-threshold regime. We estimate the physical error rate for achieving the logical error rates of $10^{-6} - 10^{-15}$ using few-qubit codes, i.e.~short repetition codes, small surface codes and the Steane code. Error correction circuits that are efficient for biased error operators are identified. Using the Steane code, when error operators are biased with a ratio of $10^{-3}$, the logical error rate of $10^{-15}$ can be achieved with the physical error rate of $10^{-5}$, which is much higher than the physical error rate of $10^{-9}$ for depolarising errors.
Pengaruh Luas Kebakaran Hutan dan Lahan Terhadap Tingkat Pencemar Udara PM10

Land and forest fires that took place in the Indonesian Province will produce some substances that can pollute the air. The air pollution is monitored by the Air Pollution Standard Index or ISPU which consist of a concentration value of 5 kinds of substances as parameters, such as particulate (PM10), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3). The causes of land and forest fires vary, it could be due to nature and humans. Forest fires caused by nature can occur due to a prolonged dry season, while those caused by humans can occur due to the burning of forests to open land for new plantations. Land and forest fires can also be detected, as mentioned above, using the air pollution standard index (ISPU). This research examines the effect of forest and land fires on the level of air pollution, which focused on examining the particulate (PM10). The method used is simple linear regression, which is an equation that can describe the relationship between dependent variables and independent variables. The results of simple linear regression analysis are Y=26,605+8,99E-5X, and with a confidence level of 95%, the area of Forest and Land Fires (Ha) Province in Indonesia in 2019 (X) has a significant effect on the average particulate matter (PM10) of Province in Indonesia in 2019 (Y).
Digital Image Forgery Detection Using Deep Learning Models

One of the challenges to image trust in digital and online apps, as well as on social media, is the current situation. Image forgery detection is a technique for detecting and locating fabricated components in a modified image. A sufficient amount of features is necessary for good image forgery detection, which can be achieved using a deep learning model that does not require human feature engineering other handcraft feature techniques. In this paper we used the GoogleNet deep learning model to extract picture features and the Random Forest machine learning technique to determine whether or not the image was fabricated. The proposed approach is implemented on the publicly available benchmark dataset MICC-F220 with k-fold cross validation approach to split the data set in to training and testing dataset and also compared with the state-of-the-art approaches
Employee Factors influencing Performance in the 21st Century Organizations

Although organizations are started for the purpose of achieving some set targets, their achievement has been one of the major challenges facing 21st-century organizations. The result has been the collapse or liquidation of some of these organizations leaving employees jobless. Other than external environmental factors, employee factors are determinants of the extent to which an organization is likely to succeed in their specific mandate. The aim of this desktop research study was therefore to explore how employee factors influence the performance of 21st century organizations. In this regard, the study endeavored to establish how employee behaviors, employee decision-making, employee perceptions, employee motivation, and employee emotional responses contribute to organizational performance. The study employed an exploratory research design while data was collected through review of the existing literature from the global, continental, and local perspectives. The results indicated that, indeed all the five employee factors have a positive and significant influence on the performance of 21st century organizations. It can, therefore, be concluded that employees play a critical role in helping organizations achieve their set objectives and, therefore, the need for employees’ matters to be given priority by their organizational leaders.
Construction and Implementation of E-commerce Innovation and Entrepreneurship Education System

Innovation and entrepreneurship education plays an important role in university education reform, involving multiple subjects such as society, government, universities and enterprises.It needs the cooperation of multiple subjects to jointly promote talent training.This paper takes e-commerce innovation and entrepreneurship education as the research object, focusing on the analysis of the education system and implementation path, in order to achieve the goal of e-commerce talent training.
Subpixel Image Registration Using FFT-Based Technique

This paper presents an efficient image matching technique with translation, subpixel translation. Fast Fourier transform technique is the most powerful area-based technique that involves translation, rotation and other operation in frequency domain. FFT and its inverse are used to convert a two-dimensional image from the spatial domain to the frequency domain. The benefit of expressing an image in frequency domain is that executing certain operations on the frequencies is far more efficient than doing so in spatial domain. In this paper, we discussed different methods of subpixel estimation. Also, we validate the performance of our method under several different noise conditions. Our main goal to develop efficient technique to estimate translation and subpixel both by using FFT techniques. Our implementation is based on Python programming.
Perbandingan Pengujian Boundary Value Analysis, Equivalence Partitioning dan Error Guessy (Studi Kasus Indeks Nilai)

Software testing is a critical and time-consuming element of the software development life cycle (SDLC). Software testing determines the quality of a software before it is used by end users. The main goal is to find software errors or defects so that these errors or defects can be corrected in this testing phase. There are two general techniques for detecting software errors, namely: Black Box and White Box Testing. Black Box testing technique is used for validation, namely whether you have built the right software and White Box testing is used for verification, namely whether the software made is correct. This study aims to test the value index software using three methods of Black Box testing techniques, namely Equivalence partitioning (EP), Boundary Value Analysis (BVA) and Error Guessing. The testing process is carried out to find out how much error occurs in the value index software. The research method is qualitative descriptive and analytical. The results of this study indicate that the value index application has no shortcomings (error of 0%) both with BVA, EP and Error Guessing techniques.
THE ANALYSIS OF GENERIC STRUCTURE OF DESCRIPTIVE TEXT USED BY STUDENTS OF ELEMENTARY SCHOOL 1 PENAMBANGAN PROBOLINGGO

The difficulty found in writing is not only due to the need to generate and organize ideas using the appropriate choice of vocabulary, sentence, and paragraph organization. A descriptive text is one of the texts that can help students to improve their ideas into a text. The researcher used the qualitative method as the way to analyze the data in this research. It focused on analyzing the student’s skill of applying the generic structure of descriptive texts. The writer used the data from the students’ descriptive texts taken from the worksheet of Elementary school 1 Penambangan Probolinggo. The findings are as follows; they do not master the language features of descriptive text and lack vocabulary and got difficulties describing with effective word choice. They failed to show well-organized writing and did not use identification appropriately, the last they were still unable to transfer and develop their ideas into a written form well in composing a text and do not use the description process in writing appropriately. Finally, the researcher concluded that some students at Elementary school 1 Penambangan Probolinggo still need more practice to choose a topic that they are about to discuss and to arrange the descriptions with proper connectives.
Thoughts on the Structure of Online Teaching Supervision Function of Distance Teaching Platform

The improvement of the teaching quality of distance and open education has always been the concern of education &#x0D; decision-makers and managers. Innovating the teaching management mode of distance and open education teaching platform &#x0D; and developing the supervision function of network teaching on the distance and open education teaching platform is one of &#x0D; the important ways to improve the teaching quality of distance and open education. This paper probes into the online teaching &#x0D; supervision mode of distance open education teaching platform and puts forward some suggestions on the structure of online &#x0D; teaching supervision function based on learning platform.
Implementation of Reinforcement Skill in Teaching English in The Pandemic Situation

This study aimed to identify the types of reinforcement skills and investigate the implementation of reinforcement skills used during the online learning process at SMP Laboratorium Undiksha Singaraja. This study used a qualitative descriptive method as the research design. This study also used an English teacher as the research subject. In collecting data, this study used three methods, namely; observation, interview, and questionnaires. This research was conducted online due to the COVID-19 pandemic. Through the data obtained, this study found the results of the type of reinforcement and the implementation used by teachers during online learning. There are four types of reinforcement used by the teachers, such as; (1) positive verbal reinforcement in the form of praise and partial reinforcement, (2) positive non-verbal reinforcement in the form of gestures, (3) negative verbal reinforcement in the form of enforceable statements, questions, calling out the students' names, and (4) negative non-verbal reinforcement in the form of facial expressions and record the students' misbehavior. In addition, the reinforcement implementation was relevant to the theories suggested by experts by following the five principles in giving reinforcement. Further study is needed to get a deeper understanding toward the implementation of reinforcement in EFL classroom.
Studi Literatur Terkait Penerapan Standar Masker pada Publikasi Riset di Masa Pandemi Covid-19

People's lives have been affected all across the world as a result of the Covid-19 pandemic that is currently sweeping the globe.To avoid transmission, the World Health Organization (WHO) has mandated the use of masks as one of the personal protective equipment.The National Standardization Agency (BSN) has established the Indonesian National Standard (SNI) for masks with the goal of lowering the transmission rate.Several scholarly publications were published during the pandemic time that discussed the masks that the population wore.Through a literature review, this study attempts to examine the impact of mask standards on a number of research publications connected to the public's mask selection during the Covid-19 epidemic.The literature review and descriptive analysis methods were used in this investigation.The publications in this study were found using a Google Scholar database with a period span of March 2020 to August 2021.Covid-19, cloth masks, disposable masks, medical masks, and non-medical masks were among the search terms used to find the article.pertinentIt is well recognized that a literature review cannot conclusively determine the role of standards in community mask selection.Standards have not been considered in the selection of the type of mask.
A Research Proposal of Critically Applying Objective Model and Process Model in Designing Primary English Activity Curriculum Themed on “Chinese Cuisine Culture”

This paper is a research proposal that aims to critically apply two influential curriculum theories, Tyler’s Objective Model and Stenhouse’s Process Model, to primary English curriculum design themed on Chinese Cuisine Culture.
Drawing on the Doctor-Patient Relationship in e-Health Services

The doctor-patient relationship has been the cornerstone of medical practice. As e-health is coming to play an increasingly important role, it is necessary to consider how e-health can draw on, integrate and safeguard aspects of this relationship and thereby improve services and engage patients.
MANAGEMENT OF EDUCATIONAL PROJECTS IN PRE-UNIVERSITY EDUCATIONAL INSTITUTIONS

This article reflects on the management of educational projects in pre-university education institutions. The project concepts, project management, educational project, the stages followed by the project manager and his team, the strategic and tactical conditions as well as the causes of failure / risk in carrying out the projects and the principles of their prevention are described and analyzed.
Klasifikasi Sinyal EEG Menggunakan Model K-Nearest Neighbor Untuk Pengenalan Kata Yang Dibayangkan

Locked in syndrome (LIS) is a condition of complete paralysis in which people with LIS are conscious but unable to move or communicate verbally except to move their eyes or blink. One way that can help LIS sufferers to communicate and interact is through recording brain signals called Electroencephalogram (EEG). In this study, the data from the recording of the EEG signal has gone through the extraction stage. The extracted data is preprocessed and classified using the K-Nearest Neighbor (K-NN) algorithm to be visualized using a web-based application. The results of the classification using the K-Nearest Neighbor algorithm with a value of K = 1 resulted in 82% accuracy, 82% precision and 82% recall.&#x0D; Keywords: LIS, EEG, K-Nearest Neighbor.
Implementation of Results-Based Performance Management System: An Approach for Social Change in the Educational System

Performance Management System (PMS) is instrumental to employees’ productivity and organizational competence. Entering into the quality assurance era, the Department of Education (DepEd) engaged in a paradigm shift in its management system and executed Results-Based Performance Management System (RPMS). Thus, this descriptive study assessed the extent of RPMS implementation in selected schools in the Philippines. Using the questionnaire adopted from DepEd Order No. 2, series of 2015, data were collected from 862 assessors involving teachers, headteachers, and supervisors. Employing descriptive analysis, findings showed the great extent of RPMS implementation in general, and according to classification, school level, and position of assessors. It also revealed that the four RPMS phases are implemented to a great extent, though a subsidence of execution of the work processes is noted as the phases progress. Also, certain practices were superficially carried out and implementation challenges were apparent. This signifies opportunities for improvement in the management system. Thus, the department should create cluster performance management teams, reassess the implementing guidelines, and organize technical assistance trainings to set foot towards total quality implementation and further actuate social change.