Reviewerly/exHarmony huggingface dataset:
Spark Streaming

In addition to batch data processing, stream processing has become a must-have capability for any business to harness the value of real-time data to increase their competitive advantages, make better business decisions, or improve user experience. With the advent of the Internet of Things, the volume and velocity of real-time data has increased. For Internet companies like Facebook, LinkedIn, or Twitter, millions of social activities happening every second on their platform are represented as streaming data.
Perancangan Media Pembelajaran Dasar Desain Grafis Berbasis Android Siswa SMK Jurusan Teknik Komputer dan Jaringan (TKJ)

This study aims to create an Android-based learning media that meets the valid, practical and effective requirements for Basic Graphic Design subjects. This research is a Research and Development research conducted at SMK. The test subjects in this study were students of class X TKJ SMK Negeri 5 Padang. The results of the assessment of the three validators as a whole are 85.31% so that the level of validity can be interpreted as valid. The overall assessment of practicality is 91.66%, so that the level of practicality can be interpreted to be very practical to use, and the effectiveness rating is 85.92%, so that the level of effectiveness can be interpreted properly.
Empirical Study of Function Point Analysis during Software Development Phase

During the development of the software, Software Requirement Changes (SRC) often occurs. Software estimation helps in maintaining a balance between the increase and decrease of the price, time, etc. Function Point Analysis (FPA) is a software effort estimation technique used for measuring the size and complexity of software by calculating the functionality from a user's point of view. Function count focuses on what functionality is being delivered. It enables programmers to perform function point counting themselves instead of contacting an expert. An empirical study has been conducted to analyze the capability of the FPA technique. The results of the FPA-SDP (Function Point Analysis for Software Development Phase) model can help software project managers in (i) knowing the inconsistent states of software artifacts (ii) estimating the actual size of a change request with its complexity level for the software development phase.
SANI: Assistant for Information Security Auditing on ISO/IEC 27001

Information security is a fundamental aspect to any organization, not something exclusive to large companies. Implementing good practices in security management is relevant to being competitive in the context, however, adopting a standard in this regard is a tedious and expensive process for small companies. Audits are part of the proper management of information security, as these help to prevent incidents and mitigate risks on information assets. Many auditing applications are developed and executed in private technological settings, are expensive and not available to the community, or focus on functionality, but have serious difficulties in guaranteeing or documenting confidentiality and anonymity services. With this problem in mind, SANI, an alternative tool that implements these capabilities, was designed, developed, and tested in a real operating scenario.
EFFECTS OF NONLINEAR INFORMATION INTERACTION OF MARINE TECHNOGENIC OBJECTS

With regard to the interaction of complex systems, the issues of monitoring the information situation,the types of information interactions and the topological approach to taking into account themultimedia interaction of complex systems in the underwater environment are considered. The classificationof the main effects arising from information interaction of marine technogenic objects isgiven. Three main groups of effects associated with the physics of media, with the features of thepropagation of energy in these media and with the features of the actual interaction of two or moreobjects are distinguished. The scheme of clustering of effects is given: uncertainty, incompatibility,nonlinearity, relativistic effects, effects on the boundaries of media. Within these clusters, the articleconsiders the following effects: an increase in the intensity of information exchange, the emergenceof unpredictable new connections, causal incompatibility, antipodes, glare, backlights, relativisticeffects. It is shown that there are certain differences in the information interaction of objects in mediawith different interaction rates and dissipation of interaction energy. These differences are manifestedin an increase in the intensity of exchange in dense media at some "proximity" distances. In thiscase, the emergence of unpredictable causal relationships is observed. During the exchange of informationin these regions of the singularity, in addition to the effects caused by the peculiarities ofthe propagation of signals in water, the effects associated precisely with the information interactionof two or more objects are observed. It is noted that almost all effects can lead to a significant distortionof the information perceived by objects and to a violation of the decision-making process. Incompatibilityeffects have the greatest catastrophic potential. At high speeds of movement of marinetechnogenic objects for individual observers, a violation of causality is possible. The scheme of violationof causality in the interaction of objects is shown, associated with the loss of information oftwo types – relativistic (due to the excess of the speed of movement of objects over the speed of interactionin the medium) and geometric (due to the exit of a "fast" object from the region of "slow" pulsepropagation). It is concluded that it is necessary to carry out physical simulation using highperformancesystems and modern mathematical methods on a single criterion basis.
THE IMPLEMENTATION OF THE TECHNOLOGY-ORIENTED MODEL BY NETWORKING OF EDUCATIONAL INSTITUTIONS

In the article potential and opportunities from technology-oriented education of educational institutions are being viewed. The aim of the research is development of the educational technology-oriented model by networking of educational institutions. The methods of the research is comprehensive analysis of russian and foreign scientific articles and polling statistical data. The matrix and the network models have been approved as an effective way of organization in technological companies. It is therefore worth while considering the perspectives of the models in the projection on the technology-based educational system. It is being proved that the principles of network structures building in educational system are analogous to those which are being implemented in commercial enterprises and have no less effectiveness. The article also provides the rationale for effectiveness of integration of educational system with the labour market by implementation of a network structure. The effectiveness of the technology-oriented network educational model implementation consists of theoretically infinite variations of making connections between the elements of labour market and educational system.
Rancang Bangun Aplikasi Bon Permintaan Dan Pengeluaran Barang Menggunakan Metode Prototype Berbasis Website

Goods purchase requisitions and goods issue documents are receipts for purchase requisitions and goods issues for distribution goods from the unit of work to the warehouse. pt. Perkebunan Nusantara V still uses the manual method of registering and approving the Goods Request Form using a form filled out by a factory assistant and signed by multiple parties. Therefore, it takes 5-30 business days to collect all signatures. If all parties are present, the product request notification can be signed and approved immediately. However, if this is not the case, the bill of goods approval process will be delayed. For this reason, urgent needs often result in goods being released from the warehouse before the invoice has been fully approved. Therefore, there is a need for an application that helps companies manage good purchase requisitions from warehouses. The application is implemented as a website that allows users to approve notes step-by-step online. The prototyping method allows developers to design and build systems more efficiently because discussions take place between users and developers during the system development process. PHP Laravel is used as programming language and MySQL as database. The tests for this application are based on the ISO 9126 test standard and give the following results: According to the USE survey, functionality scored 100%, reliability scored A, usability scored 90.07 across the four factors, efficiency scored B, performance score 88%, The structural score was 87%. Maintainability was evaluated as A grade with a debt ratio of 2.6%, and portability was evaluated as 100%. This application reduced the approval time to less than 5 hours and test results showed that the application works well and is suitable for enterprise use
The Impact of Government Policies on Natural Monopoly Markets based on Evolutionary Games

Financing is difficult during the post-epidemic era. A lot of industries occupied by monopolies are so large that the goods they produce are often "over-priced" and this will have a number of adverse effects on market equilibrium. This paper constructs a game model in which the government, the monopolies and the SMEs wishing to enter the monopoly market are the main actors, and this article analyzes the impact of the government's actions on the monopoly market and make conclusive recommendations. The final choice of three sides of the game can be obtained by discussing whether the government chooses to regulate the monopoly market with subsidies and taxes, whether the monopolies set high or low prices and whether the Small and medium-sized enterprises are willing to enter the monopoly market. The final analysis of the evolutionary game model concludes that: the strength of government regulation is the decisive factor in the final Nash equilibrium point of the game.
IMPROVING TEACHER COMPETENCE THROUGH TRAINING ON MAKING LEARNING MEDIA ASSISTED BY COREL DRAW

Media in learning has a very important role because it can help optimize the learning process and facilitate students to understand the concepts taught. Along with the rapid development of science and technology, resulting in students' learning needs also changing. This requires teachers to always improve their knowledge and ability in developing learning media based on information and communication technology. This training aims to: increase the knowledge and skills of teachers in making learning media using the Corel Draw program that can be applied to help the teaching and learning process in the classroom. The result of this training activity was the increase in knowledge and skills of 12 teachers in making learning media using corel draw, this was evidenced by the completion of 10 learning media consisting of job sheets, handouts, and material exposure in the form of power points. Participant attendance during the training is 100% fulfilled. 85% of participants understood the theory presented by the team. Meanwhile, based on the results of practice, 83% of teachers can create learning media by utilizing the Corel Draw program. Based on mastery of the material, 78% of participants stated that they had no difficulty operating the Corel draw. The satisfaction level of trainees with an average score of 3.63 in the Very Satisfied category, and the usefulness of the training obtained an average score of 3.84 in the Very Useful category. This indicates that the training objectives can be achieved well
The Application of Cryptocurrencies in Non-Fungible Tokens

This paper explores the application of cryptocurrencies in Non-Fungible Tokens (NFTs). After introducing the concepts and historical background of NFTs and cryptocurrencies, the paper analyzes the advantages of using cryptocurrencies in NFTs, including decentralization, security, stable storage value, cross-border payment, low transaction cost, anonymity, programmability, and community support. However, the paper also highlights the shortcomings of this application, such as unclear laws and regulations, price fluctuations, environmental problems, technical obstacles, security risks, intellectual copyright issues, and moral and social issues. To address these challenges, the paper proposes several workarounds, such as using stablecoins to solve volatility problems, providing user-friendly interfaces and educational resources to solve complex problems, and increasing the number of merchants and service providers accepting cryptocurrencies as payment methods to solve the problem of a limitation. Finally, the paper analyzes the industry trend and its potential future direction. This paper contributes to a better understanding of the potential of cryptocurrencies in NFTs and provides insights into the development of this emerging field.
Delivering Next Generation Security Scanners

HOW EDGE PROCESSING IS ENABLING NEXT-GENERATION MILLIMETRE WAVE SCANNERS
RANCANGAN MOTIF KAIN POLA GARIS SIMETRIS MODEL FRAKTAL DENGAN EMPAT DAN LIMA KOMPONEN COLLAGE GARIS DAN PERSEGI-EMPAT

The motif pattern of cloths can be designed in fractal form based on Collage components composition by means of the iterated function system (IFS) encoding algorithm to encode the design position into a code and decoding algorithm to decode the code and to display the fractal object. In this paper, two kinds of Collage component composition in straight lines and self-similarity feature are discussed. The first model consists of four lines and one square shape of Collage component. The second model consists of three lines and one square shape of Collage component. The composition is made in a such way, that there are several closed planes to be colored later. The IFS code generated by the IFS encoding algorithm is normalized to ensure that the straight lines are crossed to one or two neighbor lines in the right position and the self-similarity feature is also fitted to fill the void and integrated with the lines
Bioinformation Control Regimes and Protections: Based on the Biometric Information Privacy Act in Illinois

With the development of the times, the advanced technologies have brought social life with great convenience. The biometrics has integrated into various aspects of daily activities. To some extent it may increase the efficiency of life and provide more methods to protect the security in essential fields. Nevertheless, as the recent creations, many problems have been exposed during the social practice. All over the world, the giant companies including Facebook, Twitter and Marriott have been reported in unauthorized using or selling the bioinformation of users. The absence of supervision and the imperfect legislation led to large number of illegal behaviors. Biological information is unique and unchangeable with special risks. Once it is leaked, it will be exposed for whole life. Its sensitivity and utilization value are much higher than general information, but such actions will invade customers biological privacy. An increasing number of citizens have realized the fact and become anxiety for the biometric technique. However, the generally consensus in the academic is that the advantages may outweigh its drawbacks. Therefore, this essay will analyze the infringements which may be caused in different stages when using bioinformation and the effective solutions towards them. In order to have a more comprehensive and logical content, the methods used in creating this thesis including the case study, regulatory research and the comparative research. It could be discovered that even though the bioinformation control regimes and protections lacks supervision and relevant regulatory which has led to practical issues frequently, such technology could surely benefit humans with correct measures in the long term.
Comparison on Proof of Work Versus Proof of Stake and Analysis on Why Ethereum Converted to Proof of Stake

As approaching the era of Ethereum 2.0, the already unique and innovative cryptocurrency will witness a game-changing upgrade, and in this context, there is a lively discussion of the Proof of Work (PoW) and Proof of Stake (PoS) consensus mechanism. Moving from a PoW consensus mechanism to a PoS consensus mechanism is one of the most anticipated changes in this update. A close comparison of the two most popular consensus mechanisms, PoW and PoS, provides some strengths and drawbacks to these mechanisms. This comparison then becomes the building block to identifying the reasons behind Ethereum's upgrade to Proof of Stake. With the help of the comparison, this paper identifies a few drawbacks of the PoW consensus mechanism that Ethereum is currently facing. This paper finds that Ethereum's shift to PoS has indeed reduced the drawbacks of the Proof of Work consensus mechanism, mainly in terms of energy consumption, transaction cost, and confirmation speed.
Muscle Estimation using Stacked-LSTM Multivariate Regression Model

Abstract Muscle estimation is required to estimate the muscle activity of older adults, and a real-time process can influence the effectiveness of monitoring applications. However, using simulation tools to assess muscle activity consumes much computation energy, which is ineffective for long term monitoring. In this paper, we proposed a novel method named Stacked-LSTM (S-LSTM) multivariate regression model for muscle estimation. S-LSTM contributes to resolving the local information lost in the sequence to-sequence architecture. To validate the proposed model, we recorded human walking on a treadmill using multiple Kinect Azure to form the 3D skeleton joints as the input to our model to predict muscle activity. These skeleton data are passed to Human Musculoskeletal Simulation based on Mujoco Engine to generate the desired outputs for training and testing. Through the experiment, S-LSTM outperforms other multivariate regression models. We measured computation time, and our proposed model runs 0.25 milliseconds faster than the MuJoCo simulation tool.
Prediksi Data Time-series menggunakan Jaringan Syaraf Tiruan Algoritma Backpropagation Pada Kasus Prediksi Permintaan Beras

Recently, Indonesia, as a country where the majority of the population chooses rice as the primary food source, gets a decline in the rice consumption patterns, which resulted in reduced demand for rice that should have been stable. The decrease of rice purchasing power impacts several rice suppliers, commonly referred to as rice agents, to buy rice from rice production companies. Therefore, prediction of rice stock is essential to do. This paper aims to apply the backpropagation neural network method to forecast the amount of rice demand. The data used in the study is time-series data in the form of the number of requests for rice as much as 609 data from two types of rice. The modeling scenario in this study applies one to five hidden layers with a different number of hidden neurons in each experiment. The elastic net regularization method was applied after the data denormalization process to improve the quality of the resulting model. Based on the experiments, obtained the best model on architecture 7-50-200-300-250-300-1 with MSE = 0.001278, RMSE = 0.301950 in the training process and MSE results = 0.002391, RMSE = 0.204972 in the testing process.
Document Generation untuk Chatbot Berbasis Aturan dengan Pendekatan Template Method

The world of education has an important role in the development of a country, innovations and initiatives that support educational activities are needed to support these activities. One of the innovations in the world of education is the convenience of students to access the results (development) of their lectures from anywhere. Chatbot has convenience in terms of service, because using a chatbot can make it easier to spread data. Provision of accurate and relevant data in real time is also needed so that the deployment will be faster and easier. Document generation is a method that can be used to create lecture-related files in real time, quickly and accurately. From the test results it was found that the files created were accurate and relevant to the SIAKAD system that had been used.The world of education has an important role in the development of a country, innovations and initiatives that support educational activities are needed to support these activities. One of the innovations in the world of education is the convenience of students to access the results (development) of their lectures from anywhere. Chatbot has convenience in terms of service, because using a chatbot can make it easier to spread data. Provision of accurate and relevant data in real time is also needed so that the deployment will be faster and easier. Document generation is a method that can be used to create lecture-related files in real time, quickly and accurately. From the test results it was found that the files created were accurate and relevant to the SIAKAD system that had been used.
THE ROLE OF CYBERSPACE IN INFORMATION MANAGEMENT

The article examines the role of cyberspace in the dissemination and generation of information in order to assess the total amount of information, formalizing the degree of reliability of messages and the quality of facts. The degree of formalization depends on the use of tools and methods of interdisciplinary approaches, including the methodology of system analysis in the social and technical sciences.
KLASIFIKASI AKTIVITAS OLAHRAGA BERDASARKAN CITRA FOTO DENGAN MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK

In an era of advancing technology and information, sports are also receiving increasing attention from various sectors, including enthusiasts and participants in the sports industry. However, to better understand and manage the sports world, a thorough analysis and understanding of various aspects of sports are necessary, including classification and recognition of different types of sports. One potent and effective approach to image pattern recognition is the Convolutional Neural Network (CNN). CNN is a classification method particularly suitable for classifying digital images. The architecture of CNN is designed effectively to recognize objects within images. The dataset employed comprises 2348 samples for training, 294 samples for testing, and 294 samples for validation. The training process of the CNN model using DenseNet121 architecture yields an accuracy rate of 99%, with a validation accuracy rate of 88.78%. Through this research, it is expected that the application of CNN will create a system capable of automatically and accurately identifying the types of sports being performed by individuals or groups based on images or captured visuals of sporting activities.
EFFECTIVENESS OF PLANNED TEACHING PROGRAMME ON CHILD ABUSE AMONG TEACHERS IN SELECTED SCHOOLS OF GUWAHATI, ASSAM

Child abuse consists of any act of commission or omission that endangers or impairs a child’s physical or emotional health and development. Child abuse includes any damage done to a child which cannot be reasonably explained and which is often represented by an injury or series of injuries appearing to be non-accidental in nature.1Teachers have a vital role to identify and protect the child who are abused. The main objective of the study was to assess the level of knowledge of teachers regarding child abuse and to assess the effectiveness of PTP on child abuse. The research design adopted was pre-experimental one group pre-test post-test design. The assessment of knowledge was done using structured knowledge questionnaire. The findings showed that the mean post-test knowledge score (28) is higher than the mean pre-test knowledge score (15.5), similarly the standard deviation of post-test is higher than pre-test knowledge. There was significant difference between the pre-test and post-test knowledge score with paired t-value of 20.9125 and found it to be significant at p&lt;0.05 level. This indicates that the planned teaching programme was effective in improving the knowledge of teachers regarding child abuse.