Reviewerly/exHarmony huggingface dataset:
Implementation Of Image Security On Electronic Wedding Card Using Secure Image Protection Algorithm

The marriage book is an official document in the form of a quote from the marriage certificate which is legal evidence of the existence of a marriage. Marriage books are given to couples who are legally married and are administratively registered in the country. The only interested parties who can issue a marriage certificate are the Office of Religious Affairs or KUA. With the sophistication of technology, there has been a modification of the marriage book, namely the marriage card which is designed as big as an ATM card. With the digital marriage card, it can make it easier for the bride and groom to carry a marriage book when going anywhere. The use of a marriage card can cause other adverse effects, one of which is that the security used is not guaranteed and the fear of misuse of the identity data of the spouse of the marriage card owner. Inside this marriage card, there is a barcode that contains partner data such as NIK, wedding date and even self-identity that is vulnerable to misuse. So, security is needed that can protect against theft of data that is secured through barcodes, so image security on electronic marriage cards is arranged using a secure image protection algorithm. Image processing is a process of processing pixels in a digital image for a specific purpose. Image processing and computer vision are used as the human eye, with image capture input devices such as cameras and scanners being used as eyes and computer machines (with their computational programs) being used as brains. that processes information. The Secure Image Protection algorithm is one method that can be used in processing the security image of this marriage card, which consists of system input, namely the image to be encrypted or decrypted and the key is then carried out the encryption or decryption process and then produces an output image that has hidden information. So that in the end we get a system that can secure the data on the marriage card in the form of an image processing pixel permutation system that is able to maintain the privacy of the confidentiality of the image on the electronic marriage card.
Grouping of Student Learning Interest Data after the Pandemic at SMK Abdi Negara Binjai Using the K-Means Algorithm Clustering Method

The online learning system is a learning system without face to face directly between teachers and students but is carried out online using the internet network. This is in accordance with the regulation of the Minister of Education and Culture of the Republic of Indonesia regarding Circular Letter Number 4 of 2020 concerning the Implementation of Educational Policies in the Emergency Period for the Spread of Corona Virus Disease (COVID-19). Abdi Negara Vocational School is one of the schools in Binjai City that carries out offline and online learning for its students, learning began in March 2020 when COVID-19 began to hit Binjai City. The COVID-19 pandemic has had many impacts on the state of society, one of which is in the field of education. All educational institutions are trying hard to maximize their respective ways of learning according to the circumstances of their students. Abdi Negara Vocational School which follows government regulations through the Minister of Education and Culture of the Republic of Indonesia also carries out online learning, with the aim that teachers, staff and students are not infected with COVID-19 and can break the chain of spreading the virus. With these conditions, SMK Abdi Negara Binjai needs to build a system that can classify student learning interests, so that it can be used as material for consideration and evaluation of student learning outcomes. Data grouping can apply the Data Mining process with the K-Means algorithm Clustering method which is a process of processing very large amounts of data using statistical, mathematical methods, to utilizing Artificial Intelligence technology to produce a data group. The system is designed with the MATLAB R2014a programming application, after testing with the system the results are that in group 1 there are 836 data, group 2 there are 178 data and group 3 there are 91 data with a total of 1105 student data from the questionnaire results on August 31, 2022 .
The Artificial Neural Network Predicts The Number Of Smart Indonesian Card Recipients Using The Backpropagation Algorithm

The Smart Indonesia Card is a form of implementing the Smart Indonesia Program which is the flagship program of President Joko Widodo. The Smart Indonesia Card program supports the realization of the 9-year compulsory education program for basic education and universal secondary education or 12-year compulsory education. However, in essence, in processing the Smart Indonesia Card, errors still occur in predicting the needs of students who really need the assistance. Unpredictable gifts include students per department. In dealing with the provision of Indonesia Smart Card assistance, predictions are needed in the distribution of funds so that the distribution can be carried out evenly according to students who need the Indonesia Smart Card funds.
Design And Build A Mikrotik Network Learning Media Using The Waterfall Method And Randomizing Questions Using The Fisher-Yates Shuffle Method

The development of the world of information today is increasingly entering various fields that are trying to take advantage of today's information technology. The problem of developing the quality of education and helping school facilities to produce smart children and assisting teachers in teaching, as well as making teachers creative and helping children learn smart, this technology is also very helpful for children to actively study at home so they can save costs and tools used , and this learning application can divert the habits of children who previously only played cellphones but now can play cellphones while studying so that students don't get bored.
MSB Steganography Text Message Insertion Technique On Imagery With Otp And RSA Algorithms

The use of image media information has several weaknesses, one of which is that it is easy to be manipulated by certain parties with the help of currently developing technology. Efforts that can be made in increasing the security of sending image information are cryptography, which is the science and art of maintaining message security. In this study, the OTP, RSA and MSB (Most Significant Bit) steganography methods were applied which aim to obtain a stronger cipher by inserting a message into the image so that it is difficult to tap. OTP and RSA algorithms for encrypting and decrypting, MSB (Most Significant Bit) Steganography which is used for encoding and decoding images. The results of this study indicate that by applying the OTP, RSA and MSB (Most Significant Bit) Steganography algorithms can secure messages that are inserted into the image and secure the key for data needs. The encoding and decoding process time is affected by the number of messages to be kept secret.
Decision Support System for Priority Improvement of School Rooms at SD Negeri 020254 Binjai City to Obtain Special Allocation Fund (DAK) Assistance Using the MOORA Method

The school room in the school building has an important function for the development and growth of education at SD Negeri 020254 Binjai City in realizing quality improvement and human resource development. The government through the Ministry of Education and Culture (Kemendikbud) provides a Special Allocation Fund (DAK). The DAK assistance provided by the Government aims to ensure that schools can improve school facilities and infrastructure for teaching and learning activities in schools to run optimally. The problem faced by the elementary school is to choose and determine the space in the school building that is prioritized for repair because it is not possible to renovate the school as a whole. The Moora Method Decision Support System (SPK) can help elementary schools in helping to solve these problems. From the results of the calculations carried out, the results with the highest score were obtained, namely the student bathroom room with a value of 0.3181. Thus the student's bathroom space is prioritized for repairs.
Optimization Of Learning Scheduling Using Linear Regression

Scheduling is a process, method, manufacture, or schedule to be included in the schedule (KBBI). Scheduling that is needed in general and that occurs at one point of education in making study schedules requires various supporting factors from the division of teacher tasks. Based on this, efforts to facilitate learning schedules are made to optimize an activity so as to increase productivity and effectiveness.To carry out learning activities that are carried out conventionally and for a long time, teachers who have teaching schedules in two or more different classrooms at the same time must be revised by changing their respective schedules or reducing the hours that occur as guided by the teacher. At SD S Muhammadiyah Sambirejo, which is a school located in Sambirejo Village, Binjai District, Langkat Regency, and has several educators and educational staff at this school, I focus on the case study of learning scheduling, so that teaching and learning activities in a school must pay attention to the learning schedule and avoid clashes. This makes it easier to prepare a study schedule. The method used is linear regression as an optimization of learning scheduling. The results of testing the linear regression method in optimizing learning scheduling using linear regression with a total of 10 forecasting data as analysis and determining the forecasting result value of 2.0063334474495 obtained data results with the number of conflicting hours.
Determining Talent Based on Student Skills Using Fuzzy Logic

Education is a conscious, planned effort to create a learning atmosphere and the learning process of students actively develops their potential to have spiritual, religious, self-control, personality, intelligence, noble character, and skills needed by themselves, society, nation and state. Learning is generally defined as a change in an individual that occurs through experience, and not because of the growth or development of his body or characteristics of a person since birth. So that they understand and know the best things to do to develop their knowledge, potential, and talents and skills. Because these talents are relatively stable, they can be used to help success in education and careers. Thus it can be said that talent reveals the potential to learn a certain activity, talent is relatively different, talent is relatively constant. Fuzzy logic is a logic that has a value of fuzzyness between true or false (Professor Lotfi A, 1965). Fuzzy logic is generally in problems that contain uncertainty (uncertainty), imprecision (inaccuracy), noise, and so on. Education is a conscious, planned effort to create a learning atmosphere and the learning process of students actively develops their potential to have spiritual, religious, self-control, personality, intelligence, noble character, and skills needed by themselves, society, nation and state. Learning is generally defined as a change in an individual that occurs through experience, and not because of the growth or development of his body or characteristics of a person since birth. So that they understand and know the best things to do to develop their knowledge, potential, and talents and skills. Because these talents are relatively stable, they can be used to help success in education and careers. Thus it can be said that talent reveals the potential to learn a certain activity, talent is relatively different, talent is relatively constant. Fuzzy logic is a logic that has a value of fuzzyness between true or false (Professor Lotfi A, 1965). Fuzzy logic is generally in problems that contain uncertainty (uncertainty), imprecision (inaccuracy), noise, and so on.
Application Of Data Mining Classification Of Student Ability In Learning Using The K-Means Clustering Algorithm Method (Case Study : Sd Negeri 056029 Karya Utama)

The high level of student success and the low level of student failure is a quality of the education world. The world of education is currently required to have the ability to compete by utilizing all resources owned. In addition to facilities, infrastructure and human resources, information systems are one of the resources that can be used to improve competency skills. Data mining is a process of data analysis to find a dataset of data sets. Data mining is able to analyze large amounts of data into information that has meaning for decision supporters. One process of data mining is clustering. Attributes used in the grouping of student achievement are Name, Extracurricular, Value which include UAS Value, . The case study of 20 students with distance calculation using manhattan distance, chbychep distance and euclidian distance yielded 67% accuracy. Keywords: data mining, clustering, k-means, student achievement
EARLY CHILDREN'S LANGUAGE DEVELOPMENT THROUGH STORYING METHOD

The development of early childhood language through the storytelling method in kindergarten is the development of children in acquiring words effectively orally and in writing. Its purpose as a means of communication, broaden horizons and knowledge. It helps children to interact well with their social environment. The storytelling method is one of the efforts in developing language development in early childhood. For this reason, the problem raised in this study is how the language development of children after an early age through the storytelling method is used, to answer the research problem, a qualitative research type with a descriptive approach is used. The research subjects were teachers and students, the data collection techniques were observation, interviews and documentation. The result of the research is that the development of the storytelling method has developed for early childhood language development. In the implementation of the teacher has been optimal in using the storytelling method. Qualitative data analysis is inductive, namely an analysis based on the data obtained, then developed.
High Fidelity GAN Inversion with Condition Reiteration for Image Editing

Abstract We present an extension to High-Fidelity GAN Inversion(HFGI) that enables us to invert efficitevely image specificdetails (like background, appearance, etc.) in restoringand editing of normal images as well as out of the domainimages (e.g. Heavy makeup faces). We analyzed W+ latentcodes are low dimensional that harden to preserve imagespecific details in restoration. In HFGI encoder, singlestage conditional latents maps are used for invertingimages which restores image specific details with lowconfidence. So in a restored image the low confidenceregion becomes blurry. Also in editing images, detailedinformation is getting lost due to latent navigation. Hencewe propose a reiterative conditional latents method thatenables us to restore image specific details with sharpnesswithout changing the architecture of HFGI. The overallprocess consists of two stages of iterations. First stage willreconstruct the image and the second stage will work onimage specific details using conditional latent codes. Inediting images, we are applying an editor in the first stageonly which will edit latents and in the second stage imagespecific details becomes sharp by conditional latent maps.Our model is also able to invert out of the domain imageswhile preserving all the details. We support InterfaceGAN,GANspace, StyleClip for editing. Moreover we compare ourapproach with the state of the art GAN inversion methodson FFHQ and Stanford Cars Dataset, qualitatively andquantitatively. The results shows significant improvement ininversion and editing quality.
Male and Female Lecturers’ Politeness Strategies in Academic Interaction

The aim of this research was to identify the types of politeness strategies used by male and female lecturer during the classroom interaction, and to find out the target achieve by the male and female lecturer in using politeness strategy. The researcher has chosen four English lecturer (two male and two female) at Universitas Muhammadiyah Makassar. The researcher joined in the class and recorded the activities when lecturer was teaching. The researcher applied descriptive qualitative method to analyze the data, by doing data reduction, data display and conclusion. The researcher used the theory of politeness strategy by Brown and Lavinson (1987) which consists of positive politeness, negative politeness, bald on record and off record. The result of the research showed that the male and female lecturer used four politeness strategy, namely of positive politeness occurred in seventy-one politeness, negative politeness occurred in thirty politeness, bald on record occurred in six politeness and off record occurred thirty-five politeness. Then there were one hundred forty-two politeness strategies occurred in classroom interaction. Furthermore, the results of the research showed that the target achieve by the male and female lecturer was by doing some activity such as “come to the students’ desk and call their name one by one” those activity can create cooperative interactions between lecturers and students, help students to have positive feelings towards lessons, motivate them to participate actively in class and also shapes the character and self-development of students to the material that had been prepared.
Lower Bounds on Implementing Mediators in Asynchronous Systems with Rational and Malicious Agents

Abraham, Dolev, Geffner, and Halpern [ 1 ] proved that, in asynchronous systems, a (k, t)-robust equilibrium for n players and a trusted mediator can be implemented without the mediator as long as n &gt; 4( k+t ), where an equilibrium is ( k, t )-robust if, roughly speaking, no coalition of t players can decrease the payoff of any of the other players, and no coalition of k players can increase their payoff by deviating. We prove that this bound is tight, in the sense that if n ≤ 4( k+t ) there exist ( k, t )-robust equilibria with a mediator that cannot be implemented by the players alone. Even though implementing ( k, t )-robust mediators seems closely related to implementing asynchronous multiparty ( k+t )-secure computation [ 6 ], to the best of our knowledge there is no known straightforward reduction from one problem to another. Nevertheless, we show that there is a non-trivial reduction from a slightly weaker notion of ( k+t )-secure computation, which we call ( k+t )-strict secure computation , to implementing ( k, t )-robust mediators. We prove the desired lower bound by showing that there are functions on n variables that cannot be ( k+t )-strictly securely computed if n ≤ 4( k+t ). This also provides a simple alternative proof for the well-known lower bound of 4 t +1 on asynchronous secure computation in the presence of up to t malicious agents [ 4 , 8 , 10 ].
A Process Model to Enhance the Accuracy of Digital Forensic Investigations: A case of National Identification and Registration Authority (NIRA-Uganda)

The field of digital forensics has become commonplace due to the increasing prevalence of technology since the late 20th century and the inevitable relevance of this technology in the conducting of criminal activity. In traditional forensics, the evidence is generally something tangible that could identify the criminal, such as hair, blood or fingerprints. In contrast, digital forensics deals with files and data in digital form extracted from digital devices like computers, and phones, among other digital devices, meaning is derived from the fact that a computer or computerised device is the subject or object of crime. In this paper, we explore the challenges faced by the National Identification and Registration Authority (NIRA) digital forensic investigation and develop a process model that enhances the accuracy of digital forensic investigation. We adopted a mixed method approach of research involving qualitative, quantitative and experimental design. The study makes significant findings in areas of enhancement accuracy of digital forensic investigation by enumerating the processes that must be followed. As a recommendation for future work, for purposes of generalisation of the study findings, a wider study involving other security agencies such as the police should be conducted.
Development and Evaluation of an Anonymity-Focused Feedback Tool Based on Ring Signatures

A feedback system should be developed for the Blockchain Academy Mittweida, which can store the feedback for the courses offered anonymously and without duplication. It should be possible, without removing the anonymity of the users, to determine whether feedback has already been submitted by a user. For this purpose, the technology of linkable ring signatures was used. This technology allows users to be grouped into a ring and submit feedback anonymously. To determine the interest in and understanding of the solution and technology, a video was created introducing the process and presenting it to a group of subjects. The evaluation showed that there was interest in the presented solution and that the concept could be communicated.
STUDY OF FACTORS AFFECTING THE EFFICIENCY OF EDUCATIONAL ACTIVITIES OF TRAINING SPECIALISTS IN ECONOMICS BASED ON THE APPLICATION OF INTERNET PLATFORMS

Modern extraordinary conditions, characterized by the accumulation of negative effects of external and internal factors, the consequences of the COVID-19 pandemic, require a rethinking of approaches to the organization of educational activities, in particular in the field of training specialists in economics. There is a growing importance of distance education in the world with the use of modern information technologies. Along with this, there is a decrease in the readiness and level of training of specialists regarding the possibilities of implementation to the presented conditions and countering the influence of modern factors of economic development. In such conditions, the development of directions and transformation of educational components regarding the training of economics specialists is an urgent issue. Approaches to the formation and implementation of online education are determined, which are determined by the directions of formation of its value; terms of providing educational services; development of author's courses; number of entrants, functional areas of the educational process. The considered Internet platforms form a modern basis for ensuring the educational process. In addition, the highlighted features allow to implement them in the domestic educational process. For the implementation of the presented platforms, complex characteristics are determined for the formation of practical aspects and training of specialists: technical, technological, economic, environmental. Internet platforms provide opportunities for timely and complete access to information resources. Thus, the study of the factors affecting the effectiveness of the educational activity of training economics specialists based on the use of Internet platforms is an important issue, the solution of which allows you to give impetus to the development of economic relations. Keywords: education, Internet platform, Internet technologies, stakeholder relations.
Verifying the Elliptic Curve Verifiable Random Function Secp256r1 on Blockchain

Randomness is a critical issue in peer-to-peer networks because random numbers allow us to fairly select the candidates, resolve the lotteries, select block producers, etc. The difficulty is that each participant wants to verify that the random number was randomly generated, this led to the invention of verifiable random functions (VRF). The VRF is a pseudo-random function that provides a solution to blockchain-based random number generation. This paper focuses on the implementation of an elliptic curve-based VRF introduced by NIST called ECVRF-secp256r1 in Solidity. The algorithm verifies the randomness on-chain, tests the gas consumption at each stage, and compares it to the ECVRF-secp256k1.