Reviewerly/exHarmony huggingface dataset:
Penerapan Metode Thiessen Polygon Untuk Mendeteksi Sebaran Curah Hujan Di Kabupaten Tangerang

Abstract The rainfall patterns in Indonesia are generally dominated by monsoon  characterized by differences between seasons rain and dry season (Pabalik et al. 2015). Indonesia between of Asian and Australian Monsoon. Tangerang district is a located in Banten provinces which have a fairly high rainfall annually. It can be seen every year the average rainfall in Tangerang disttrict above 100 mm/year (BPS Banten Province, 2015). The rainfall of distribution in Tangerang district can be detected using the Thiessen Polygon method. The Thiessen Polygon method takes into account the weight of each station that represents the area around it. This study aims to determine the calculation and rainfall pattern of the area in Tangerang district by using Thiessen Polygon method. This research was conducted in two stages, data collection a monthly rainfall and data processing with ArcGIS. Based on the results of calculations on rainfall data for the period 2008-2017 and June-July 2018 in 3 rain posts, the results of the Smirnov-Kolmogorof test with P-value > 0.005 or distribution normal and the Smirnov-Kolmogorof value of 0.055 for the rain post rain 1, 0.081 for the post rain 2 and 0.167 for rain post 3. While the results of multiple linear equations show no symptoms of heteroscedasticity. Therefore, from this data can be generated maps of rainfall distribution in Tangerang district.  Keywords: ArcGIS, rainfall , thiessen polygon.
Effectiveness of Using Gamification Media for Mastering Indonesian Afficiates in Thailand Students at Universitas Islam Darul ‘Ulum Lamongan

This study aims to see the response of students from Thailand at the Universitas Islam Darul ‘Ulum Lamongan to the use of gamification media, as well as to see the effectiveness of the acquisition of Indonesian affixation by Thai students using gamification media. This research uses descriptive method, with observation and test data collection techniques. The results of this study are the highest response to statement 1 of 92.3%, namely in the very interesting category, the highest response to the second statement of 100%, namely in category 4, the highest response to statement 3 of 61.5% namely in category 4, the highest response to statement 4th is 80.8% in category 4, and the highest response is to statement 5 of 61.5% in category 4. The effectiveness results in cycle I reach 391 words with Indonesian affixes, then in cycle II, it increases by 196 so that in cycle II data is obtained as large as 587 words with affixes.
Perbandingan Algoritma Elias Delta Code Dan Unary Coding Dalam Kompresi Citra Forensik

Human needs in an image since long time ago is a need that cannot be ignored. Since the invention of the lat tool to capture an image like a camera. The rapid development of information technology has become a very important role for information exchange. This delivery speed is very dependent on the size of the information. One of the solutions to the above problem is to compress the data before it is transmitted and then the recipient will decompress that is reconstructing it back into the original data. Another problem is when we want to save the file. With a large size, the image file also requires a fairly large storage media In practice, compression techniques are divided into two, including lossy compression and lossless compression. Elias Delta Code is a breakthrough made by Piter Elias as a sophisticated algorithm that applies the Elias Gamma Code as the basis of the algorithm, while the Unary Coding algorithm is a method inspired by Neuroscience, where existing data is usually spatially coded, so the location shows where the data is located . This is done by marking certain slots. With the compression process, it is very helpful for humans in terms of sending data, saving storage media from the amount of data capacity stored.
Smartphone App for Heart Rate Monitoring and Its Impact on Education Toward Industry 4.0

This paper presents the development of Smartphone app for monitoring the heart rate, which used as a tool for life-based learning. The app featured life-based experiments for undergraduates' students through do-it-by-your-self activities. This app was developed with Firebase to create a heart rate monitoring system interface as well as a framework for life-based experiments. Also, this app had video features as learning resources. We used an experimental method to evaluate the proposed system of learning. The subjects were 30 undergraduate students who were separated into two groups. Based on our survey, student learning outcomes increased by 35% compared to conventional experiments.
Photon-photon processes in Room-Temperature Rubidium cells using effective χ2 nonlinearities

We investigate how a simple room-temperature Rb cell can exhibit both linear and nonlinear quantum processes and achieve a number of benchmarks toward two-photon gate operation, including large photon-photon phase shifts at high-fidelity and optimizing an EIT-enhanced effective χ 2 nonlinearity.
Post-nonclassical science, modern design and the idea of sociocultural interactions’ synchronicity

This article is devoted to the science place problem study in culture, its relationship with other sociocultural phenomena. The purpose of the article is to identify the post-non-classical science relationship specifics with such a phenomenon of modern culture as design. The identification of this specificity can serve as an argument that testifies to the rootedness of post-non-classical science in modern culture. To achieve this goal, the authors set the following tasks: 1) analysis of the science sociocultural determination levels and types; 2) the disclosure of the post-non-classical science and modern design features; 3) the identification of the correlation between them. The authors proceed from the idea of synchronism or parallelism as a form of interaction of sociocultural phenomena and processes. A comparative analysis of the post-non-classical science and modern design main characteristics reveals their common features. The authors associate the existence of these correlations with the sociocultural, worldview influence of postmodernism. The obtained result confirms the idea of the post-non-classical science rootedness in modern culture.
Getting Ready for Application Development

For the unfamiliar, Python is one of the most popular languages. It’s extensively used everywhere—from academia and the sciences to large-scale web applications, like Instagram. Part of its popularity is due to the plethora of libraries, packages, and extensions available for free online as well as ease of reading due to its resemblance to pseudocode.
A Data Extraction Algorithm from Open Source Software Project Repositories for Building Duration Estimation Models: Case Study of Github

Software project estimation is important for allocating resources and planning a reasonable work schedule. Estimation models are typically built using data from completed projects. While organizations have their historical data repositories, it is difficult to obtaintheir collaboration due to privacy and competitive concerns. To overcome the issue of public access to private data repositories this study proposes an algorithm to extract sufficient data from the GitHub repository for building duration estimation models. More specifically, this study extracts and analyses historical data on WordPress projects to estimate OSS project duration using commits as an independent variable as well as an improved classification of contributors based on the number of active days for each contributor within a release period. The results indicate that duration estimation models using data from OSS repositories perform well and partially solves the problem of lack of data encountered in empirical research in software engineering.
Register Used in Commentary Text on Sixteenth Round of Fifa World Cup 2018 France Vs Argentina Football Match

Register is one of the varieties of language which has specific lexical and grammatical choices. The language of football commentary, politic, and economic are considered as examples of register language. In this study, the writers analyze the register used in commentary text on sixteenth round of FIFA World Cup 2018 France Vs Argentina football match. There are three problems of the study which are proposed: (1) What register is used in commentary text on sixteenth round of FIFA World Cup 2018 France Vs Argentina football match?, (2) What linguistics features of register are used in commentary text on sixteenth round of FIFA World Cup 2018 France Vs Argentina football match?, and (3) What are the meaning of register used in text commentary text on sixteenth round of FIFA World Cup 2018 France Vs Argentina football match? This study uses qualitative approach in relation to the use of clear and systematic description about the phenomena being studied. The data are only taken from text commentaries uploaded on GOAL sport website. This study reveals that the registers used in live text commentary commonly have different meaning when it relates to other field, profession and situation. Some registers are unfamiliar words which do not exist in other field outside the football.
의 텍스트언어학적 분석 연구 ― 영웅설화적 특성 고찰을 중심으로 ―

The objective of this study is to clarify the characteristics of heroic tale of with the Textlinguistic analysis. For this purpose I used Textlinguistic research methods. In this analysis, I identified characteristics of heroic tale of through analysis based on criteria of ‘Structure of space-time’, ‘Structure of agent’, and ‘Structure of event’. As a result of the analysis, had a characteristics of ‘Separation of space-time’, ‘A story centered on Seodong’, ‘Facilitator’s help’, and ‘The success of a central character’. In conclusion, through analysis, we could find that has characteristics of heroic tale. In this regard, this study will contributes to identify the characteristics of also to understand characteristics of the tale.
Kernel-convoluted Deep Neural Networks with Data Augmentation

The Mixup method, which uses linearly interpolated data, has emerged as an effective data augmentation tool to improve generalization performance and the robustness to adversarial examples. The motivation is to curtail undesirable oscillations by its implicit model constraint to behave linearly at in-between observed data points and promote smoothness. In this work, we formally investigate this premise, propose a way to impose smoothness constraints explicitly, and extend it to incorporate implicit model constraints. First, we derive a new function class composed of kernel-convoluted models (KCM) where the smoothness constraint is directly imposed by locally averaging the original functions with a kernel function. Second, we propose to incorporate the Mixup method into KCM to expand the domains of smoothness. In both cases of the KCM and the KCM adapted with the Mixup, we provide risk analysis, respectively, under mild conditions on kernel functions. As a result, we show that the upper bound of the excess risk over a new function class is not slower than that of the excess risk over the original function class. Using CIFAR-10 and CIFAR-100 datasets, our experiments demonstrate that the KCM with the Mixup outperforms the Mixup method in terms of generalization and robustness to adversarial examples.
CNN BASED OBJECT DETECTION SYSTEM: A REAL TIME APPLICATION

In many countries, two-wheeler is the most common means of transport.However, because of less protection, this is considered as a highly risky mode of transport.As a solution to this, bike-riders can use helmet to safeguard the head.Upon observing the role of Helmet during the two-wheeler ride, ,many governments made the helmet compulsory for the riders.Many government functionaries follow the manual strategies to identify the violators.Manual means of identification is a time consuming process.Helmet is one of the main protection unit for a motor bicyclist.However, many to conform to the law of wearing helmet.Here, to detect the motorcyclists who are violating the helmet laws, a system using image processing and convolutional neural network is implemented.The system consists of motorbike detection, helmet vs no helmet classification and motorbike licence plate recognition.The motorbikes are detected using the feature vector HOG.Once the motorbike is detected, by means of convolutional neural network, it is determined whether the motorcyclist is driving with helmet or without helmet.Whenever any motorcyclist is identified without a helmet, license plate of the motorcycle is detected using TensorFlow object detection.
Decentralized Banking System on Ethereum Blockchain

Banking is the backbone of the financial sector of our times. Financial sector is one of the main facilitators in the progress of our society. The world we see today would not have been possible without the banking system. But the banking system currently has a centre dependency. CORE (Centralized Online Real-Time Exchange) banking has major disadvantages like single point of failure, power and authority for planning and decision making rest with top management organized around a hierarchical structure, dictatorial &amp; inflexible. Decentralized/Distributed banking is the need of the hour as it gives anonymity, low/no interest rates, no single point of failure, power to the masses. It is resilient, inherently democratic and efficient. Crypto Banks are decentralized banking platforms that provide the usual services similar to centralized banks, primarily lending services and credit scoring. But it essentially cuts out all of the middlemen that a centralized bank uses. There is no centralization whatsoever. The employees needed in a centralized bank to structure financial data and approve loans are replaced in a crypto banking ecosystem by smart contracts and p2p, peer-to-peer, services. Since all issues can be solved online, most of the network will be online. The bank is moulded in the form of a computer interface, whether on a desktop or a phone, and the currencies dealt with are mostly cryptocurrencies. In this project, I have created a smart contract on Ethereum blockchain that functions as a bank. It covers basic banking operations - creating new accounts, adding/withdrawing money, giving interest to the account holders, showing balances. I used Solidity programming language to write the smart contract and wrote a few tests in Javascript. To test the smart contract, I used Remix IDE. The project gives an idea of how crypto banks work in a real-time environment.
Analyzing problem-solving processes by using eye tracking - Findings from a systematic literature review and a pilot study in the business domain

This master thesis aims to identify the current state of the art in research oncomplex problem-solving processes in computer-based simulations using eyetracking. Additionally, this thesis conducts a pilot study to illustrate how eye-trackingcan help gain insights into problem-solving processes in the business domain. - Methodology: First, this thesis will describe the theoretical backgrounds of complexproblem-solving and eye-tracking methodology. Second, a systematic literature reviewshows the current state of the art in this research branch. Third, this thesis continuesto conduct a pilot study to observe eye movements in the business domain's problem-solving process. - Results: The literature review shows that most studies focus on a cognitive dimensionof problem solving and temporal eye-tracking measurements. Different patterns ofattentional behavior examine problem-solving processes for high and low performinggroups. The pilot study shows a need to redesign the current study in task design andAOI placement. - Conclusion: Eye-Tracking is a promising method for further research on learningprocesses. This thesis will discuss the implications and limitations of this work.
Cloud Adoption Using HITRUST: Assurance for Healthcare | I.S. Partners

Cloud computing provides a number of valuable advantages for fast-paced business handling sensitive data, and the medical field is no exception. That’s ...
PENGARUH METODE LEARNING TOGETHER DALAM MENINGKATKAN HASIL BELAJAR PEMBELAJARAN TEMATIK KELAS IV

The study was backed by low student learning a lack of student learning interest. The problem in this research is how to apply Learning Together (LT) method to improve student learning outcomes in class IV thematic learning in MI Islamiyah Luntas Banjarejo? To know the effect of using learning models of learning Together (LT) on thematic subjects of the beautiful material diversity in my country towards learning outcomes Student Class IV MI Islamiyah Luntas Banjarejo Karangbinangun Lamongan. This research uses quantitative research methods, the design of its research is a pre-experimental One-Group Pretest-Posttest Design. The results showed that there were influences of learning Together (LT) learning models on student learning outcomes, this is evidenced by the significance of 0.000 < 0.05 and the average learning results before using learning Together (LT) (pre-Test) model 70.75 and improved after using the learning Together (LT) (post-Test) learning model to 78.50.
APPS AND GAMES AS THE IMPACT OF TECHNOLOGY IN FORMING STUDENT’S CHARACTER: A SISTEMATIC STUDY OF TEACHING

The purpose of this research is to get information concerning a systematic study of teaching in the era of technological advances in which social media and games become the triggers in forming student’s characters in the context of learning. The subject of this research is the students of second year of SMP N 01 Sitimsel and represented by 40 students. The method used in this research is qualitative and the way of analysis used character analysis in term of psychological aspects. The researcher depicted the psychological aspect faced by students here are external and internal. As the conclusions, the writer found that they need to develop internalized processes to filter messages and acquire content knowledge. Such process skills, grounded in values and character, will enable youth to benefit from technology, to manage the risks they encounter, and to make responsible choices on a lifelong basis. Student need to be formally taught these process skills, which facilitate knowledge acquisition, problem solving and citizenship. First, they must understand their own being and how they may represent themselves to others. This can be accomplished by educating students about identity and branding systems that pervade both the local and global villages, and that relate to personal identity and representation in today‘s online world. Second, students need arts training to understandpersuasive techniques and to enable self-expression. Third, children must internalize the media literacy process skills so they learn to apply a methodology for critical thinking in understanding and creating messages. Content today is infinitely accessible, media literacy allows for accessing, analyzing, evaluating, creating and participating with multi-media messages.
Working with Legacy Relational Data in A Graph-Based World

The Next Generation Linkage Management System (NGLMS) was designed around keeping all data in a graph database. However, this constraint, while easily achievable for greenfield projects and/or new data linkage units, may not be easily met where legacy data exists.&#x0D; Objectives and ApproachThe NGLMS was extended to encompassed system where data was held partially or even completely in a relational database. By grouping the data managed by the NGLMS into system metadata, record link data and record data and allowing system metadata and record data to be stored separately and independently in either a relational or a graph database, the NGLMS allows hybrid installations of mixed graph and relational data and, with some loss of functionality, purely relational installations.&#x0D; ResultsThe functionality of the NGLMS was expanded to allow review of existing legacy data stored in a relational database system. Through minor changes to the server used by the NGLMS Clerical Review tool (NGLMS-CR) the review tools was able to present the same interface and allow the same integration as project stored completely within the graph database.&#x0D; Hybrid projects where link information was stored in a graph could be accommodated with no loss of functionality.Relational-only projects allowed clerical review of identified clusters in a manner identical to the graph-only NGLMS but involved some curtailment of the advanced clustering, time-slicing, compositional and concurrent functionality of the NGLMS due to the loss of the functionality provided by a graph database. They do provide an upgrade pathway to hybrid projects and then graph-only projects.&#x0D; Conclusion / ImplicationsAllowing the NGLMS to be configured as a hybrid system enables a gradual adoption of the NGLMS toolset and software.&#x0D; &#x0D; purely relational data still allows the use of the NGLMS-CR with customisable workpools and workflows&#x0D; a hybrid relational/graph system where record data is still kept in a relational store but cluster and linkage information is kept in the graph store allows the use of legacy data without major disruption and provides a pathway to full adoption&#x0D;
SMALL BUSINESSES-ECONOMIC GROWTH NEXUS IN POVERTY REDUCTION IN NORTH-WESTERN NIGERIA

This study examines the role of SME in economic growth and poverty reduction in north-western Nigeria from 1987-2017 by employing time series data for Kano state, Nigeria and using ARDL method. All the variables are significant determinants of economic growth (GDP). Turnover of SME return is significant and negative, turnover on SME employment is significant and negative whereas the turnover of SME loan is positive and significant. In overall, the study’s findings are in line with the views of prior studies, therefore, we conclude that the results of the estimates of our ARDL are valid and reliable. Outcomes of the empirical test found link between SME, economic growth and poverty reduction, from our results, the turnover of SME loan is positive and significantly contributes to GDP and reduce poverty. This study recommends: a) The government should stress on promotion of SME because they assist in poverty reduction. b) Government should protect SMEs through tariff increase or banning the goods and services produced by SMEs so as to protect them because they are still infants. c) There is the need to maintain and sustain reasonable family size by SME operators because large family could have negative effect on income.
Microservices, Here and Beyond

The first rule of soothsaying is to be abstract, generic, and futuristic. Our immediate predictions are invariably wrong: the year 2020 exemplifies the fallibility of our short-term plans. Also, to understand the future, we need to know how we got here and which human factors got us here. Fiction writers of the nineteenth century had predicted that we would build ways to share information globally. By the beginning of the twentieth century, they foresaw machines that would be small and commonplace by the end of the century. Most of these predictions—the true ones—were based on extrapolating the prevailing trends in scientific research and inventions, and also based on which ones have historically succeeded. The common underlying themes that lead to improvements remain the same: creativity, necessity, or laziness.