Reviewerly/exHarmony huggingface dataset:
Enhancing Auction Systems with Blockchain Technology

This research paper examines the use of blockchain technology in auction systems. Traditional auction systems face issues related to trust, transparency, and security. Blockchain offers a decentralized and immutable solution that can enhance the efficiency, security, and transparency of auctions. The paper provides an overview of blockchain technology and identifies the challenges in traditional auctions that blockchain can address. It explores existing blockchain-based auction systems and evaluates their effectiveness in mitigating issues such as bid manipulation and fraud. The impact of blockchain on auction participants is also discussed, including benefits like increased trust and reduced transaction costs, as well as challenges related to adoption and scalability. The paper considers both theoretical and practical aspects, analyzing case studies and implementation challenges. It concludes by summarizing the key findings and suggesting future research directions to advance the application of blockchain in auction systems. The auction contract allows users to place bids and determine the highest bidder within a specified time period. The contract also provides functionality for canceling the auction and finalizing it by transferring the funds to the appropriate recipients.
Student Counseling Information System Design Web Based Using CodeIgniter Framework

The administrative process of counseling guidance services at SMP Plus Al-Amanah is still done manually which causes data collection of information on students still using books and filing in the BK room cupboard, counseling guidance at SMP Plus Al-Amanah is also still inputting and reporting achievements as well as violations by committing a private call sent via social media chat that specifically makes students have to go to school without holding an official letter from the BK when getting a call so that parents/guardians are worried and doubtful when the child is called to school if without written evidence. This results in physical exhaustion for both the guidance counselor and the students and creates doubt and concern for parents and guardians of students. To optimize time and distance, judging from these problems, a counseling guidance system was made using the OOAD model. The counseling guidance information system for SMP Plus Al-Amanah, can be used to manage the process of recording user data involved in the information system (administrators, operators, guests), recording violation and achievement data, recording student biodata, BK services, and calling students is a guidance process counseling that has been carried out. In addition, this information system can be used and viewed by parents via the Web so that counseling and data related to students can be monitored and viewed properly.
Machine Learning Technique for Prediction of Breast Cancer

Breast cancer is one of the most prominent disease and the second foremost source of death among middle-aged women in the world. Removing of breast tumour by using a surgical treatment and chemotherapy could work excellently if it can be identified as a primary tumour or at an early stage of transmutation, however it is a costly process. The quick development of machine learning techniques continues to burn the medical tomography enthusiasm in implementing to improve the accurateness of tumour findings. To identify breast cancer in the area of machine learning lots of attempts were made, but these techniques are not too accurate. In the proposed Machine Learning Technique for Prediction of Breast Cancer (MLTPBC) is an automated system used to remove a label, pectoral muscles, noise, and identification of cancer. The experimental results of the proposed MLTPBC shows the preferable accuracy over the existing methods.
A Novel Approach for Enhancement of Blowfish Algorithm by using DES, DCT Methods for Providing, Strong Encryption and Decryption Capabilities

Data safety has evolved into a critical requirement and a duty in modern life. Most of our systems are designed in such a way that it can get hacked, putting our private information at danger. As a result, for numerous safety motives, we utilize various approaches to save as much as possible on this data, regardless of its varied formats, words, photographs, videos, and so on. The data storage capacity of mobile devices is restricted owing to insufficient data storage and processing. In order to develop a safe MCC environment, security concerns must be studied and analysed. This study compares the most widely used symmetric key encryption algorithms, including DES (Data Encryption Standard), Blowfish, TDES (Triple Data Encryption Standard), PRESENT, and KLEIN. The assessment of algorithms is based on attacks, key size, and block size, with the best outcomes in their field.
Information System of Office Stationery Inventory PT. Jagad Kreatif Nusantara

PT. Jagad Kreatif Nusantara uses the Microsoft Excel program to store inventory for office stationery, such as demand, expenditure, and stock data. That is why there are problems at PT. Jagad Kreatif Nusantara, namely difficulties in finding demand and expenditure data, difficulties in identifying initial stock, preparing reports that should be presented, and then compiling the appropriate information for the needs of inventory of ATK goods.With the development of this Information System application, it is hoped that it can solve these problems. Besides that, the existence of a computerized system in presenting complete information and being able to access data and information quickly in terms of data processing, efficient in terms of personnel, and accurate in terms of information will make work easier.
Client Classification and Dynamic Pricing of Resources in Cloud using Cloud Simulator

In cloud computing scenarios, the resources like hardware or software or applications can be accessed whenever a client needs. The client needs to get a subscription to avail service. The usages are monitored by service provider for each client over a network. When more number of client issues a request in cloud, scheduling the resources and pricing of taken resources from the cloud have a huge difference on the incomes. The job request from the user is scheduled in cloud is done, based on the need of the client (i.e) client classification algorithm and based on the demand pricing is fixed (i.e) dynamic pricing scheme. These algorithms solves income optimization problem by allocating resources under a given price and pricing of the resources are based on the allocation. The experiments were proposed with cloud simulation. Cloud simulations results are measured with the first come first serve, client classification and dynamic pricing model. The proposed algorithm shows the better resource allocation based on the pricing method.
Sharing Secret Colour Images with Embedded Visual Cryptography Using the Stamping Algorithm and OTP Procedure

Finding a way to ensure the safety of media is becoming increasingly common in the modern world as digital media usage increases. Visual cryptography (VC) offers an efficient method for sending images securely. Images that have been protected using visual encryption can be decoded using features of human vision. Emails are not a highly safe method of exchanging private data because someone else can quickly weaken the content. In the visual cryptography technique, we presented for colour pictures, the divided shares are enclosed in additional pictures using stamping. Using a random number generator, the shares are created. Visual cryptography schemes (VCS) are a method of encoding pictures that conceals the secret information which is present in images. A secret image is encrypted using a straightforward visual cryptography technique by splitting it into n shares, and the stamping operation is carried out by overlapping k shares. It can be beneficial for hiding a secret image. There is a chance that employing cryptography for information exchange could cause security problems because the process of decryption of simple visual cryptographic algorithms can be completed by the human eye. To address this issue, we are using the OTP procedure. In the past, static ID and passwords were employed, making them susceptible to replay and eavesdropping attacks. One Time Password technology, which generates a unique password each time, is utilized to solve this issue. The suggested approach strengthens the security of the created transparencies by applying an envelope to each share and employing a stamping technique to address security vulnerabilities that the previous methods had, such as pixel expansion and noise.
Perception based User Profiles for Web Personalization

Personalized web services reduce the burden of information overload by collecting facts that match the needs of the user. An important aspect of personalized web services is the creation of user profiles that contain user information and settings. This article introduces a unique method called Perception-Based User Profiles (PUP) based on perception and browsing order, develops and updates user profiles. User profiles include perceptions and relationships, which can help guarantee that user interests are represented semantically. Second, when calculating the perception and duration of the relationship, for each site in a session, the user's browsing order is considered. Third, cognitive psychometric memory model is used to update the user profile's perceptions and relationships at the end of each session, ensuring the user profile's dynamics. The results of the tests suggest that this strategy works well for building and updating user profiles.
The Application of Learning Method Using Snowball Throwing Game in Grade 2 SDN Sumberwuluh 03

The educational internship activity carried out in Lumajang aims to carry out general tasks in the educational internship program and help normalize learning activities in two schools that have been affected by the eruption of Mount Semeru which occurred last December. This educational internship is useful for increasing student participation in honing their abilities as prospective teachers in accordance with their respective fields of knowledge. In the process of learning activities in grade 2 of SDN Sumberwuluh 03, the snowball throwing game method is used to practice interrogative communicative skills and students' skills. The application of learning activities with the game method is expected that students can be more active, creative and enthusiastic in carrying out learning activities. Students are expected to be more responsive and alert when doing school assignments, as well as train students to be more responsive in answering during learning activities. The results of the application of the snowball throwing learning method have a positive impact. This can be seen in the students' reading and writing abilities which have increased. Suggestions for teachers and prospective teachers to further optimize learning activities with various fun methods, especially for low grade education.
Clustering of Multi-Spectral Data

This chapter deals with the application of unsupervised machine learning methods to multi-spectral images deriving from Earth-observing satellite missions. It describes how to import, pre-process, describe, and analyze multi-spectral data that can be downloaded from access points such as USGS Earth Explorer, the Copernicus Open Access Hub, and Theia.
Solving Math Word Problem with External Knowledge and Entailment Loss

Automatic math word problem(MWP) solving is an interesting task for NLP researchers in recent years. Over the last few years, a growing number of effective sequence-to-sequence deep learning-based model are proposed. However, these models do not efficiently consider factual errors as the sequence-to-sequence model can produce expressions that do not appear in the question. Additionally, these models neglect external knowledge information during the math word problem-solving process. To address these problems, we propose a model that can automatically solve math word problems with External Knowledge and Entailment Loss (MathEE). MathEE uses a Textual-Entailment auxiliary task to identify factual errors and introduces an entity graph based on external knowledge to model the highly relevant entity words in the question. Our experimental results on publicly available Chinese datasets Ape210K and Math23K show that MathEE achieves an accuracy rate of 74.43% and 78.7%, which is 2.08% and 1.6% higher than strong baseline models.
The effect of amplitude modification in S-shaped activation functions on neural network regression

Time series forecasting using multilayer feed-forward neural networks (FNN) is potential to give high accuracy. Several factors influence the accuracy. One of them is the choice of activation functions (AFs). There are several AFs commonly used in FNN with their specific characteristics, such as bounded type AFs. They include sigmoid, softsign, arctan, and tanh. This paper investigates the effect of the amplitude in the bounded AFs on the FNNs accuracy. The theoretical investigations use simplified FNN models: linear equation and linear combination. The results show that the higher amplitudes give higher accuracy than typical amplitudes in softsign, arctan, and tanh AFs. However, in sigmoid AF, the amplitude changes do not influence the accuracy. These theoretical results are supported by experiments using the FNN model for time series prediction of 10 foreign exchanges from different continents compared to the US dollar. Based on the experiments, the optimum amplitude of the AFs should be high, that is greater or equal to 100 times of the maximum input values to the FNN, and the accuracy gains up to 310 times.
Perceptions of Teachers Regarding Malpractices in Examination at Secondary School Level

The present study sought to identify the external factors responsible for examination malpractices at the secondary school level and find out the internal factors responsible for examination malpractices at the secondary school level. All 1310 Teachers serving in 74 Public High Schools for Boys in district Swabi constituted the population of the study. The researcher selected 100 teachers from 20 public high schools for boys in Swabi. Purposive sampling techniques were used for sample selection. The research instrument used for collecting data was a closed questionnaire. The researcher arranged the data in a systematic way and organized it in table form. After, expressing in percentages the data was analysed.Findings the study concluded that most of the participants respond that parents' wishes of obtaining high grades for their children are responsible for promoting malpractices in the examination. The majority of the respondents revealed that the culture of getting higher grades for taking admission to renowned colleges compels the children to involve in examination malpractices. Maximum number of the subjects respond that socio-economic class differences are responsible for promoting malpractices in the examination. Most of the respondents viewed that the competition among private sector schools forgetting a maximum number of admissions in classes 9th and 10th is responsible for promoting malpractices in the examination.
Improving Children’s Literacy Through Indonesian Fairy Tales at Rumah Pintar Yafsi

Rumah Pintar YAFSI is one of the programs managed by Yayasan Fajar Sejahtera Indonesia to help develop character education and child protection programs in the community. Increasing literacy interest in children is an important aspect of character education that must be instilled. Improving children's literacy requires adequate facilities and education of high quality. As a result, in this service activity, the team has provided goods and services to the Rumah Pintar YAFSI, namely the assistance of Indonesian fairy tale books and storytelling training services for Rumah Pintar YAFSI volunteers to further strengthen children's interest in literacy. This is also an effort to achieve inclusive education for children of all socioeconomic backgrounds. The lecture method approach, question and answer or discussion, and deductive model training methods are used in the implementation. This community service improves Rumah Pintar YAFSI volunteers' storytelling skills, which in turn increases children's literacy interest in Rumah Pintar YAFSI. The outcomes of this activity have also been documented in written reports and videos. Furthermore, activities are reported in national online newspapers.
THYROID DISEASE CLASSIFICATION ANALYSIS USING XGBOOST MULTICLASS

ABSTRAK- Sickness is an unusual condition of the body or mind that causes discomfort, malfunction, or suffering to the sick person. One disorder that occurs due to a lack of health concerns is thyroid disease. The thyroid is a butterfly-shaped endocrine gland near the neck's bottom. The diagnosis of thyroid disease is complicated because the symptoms of thyroid disease can fluctuate based on the rise and fall of thyroid hormones, which increase the utilization of oxygen by the body's cells. In this case, a thyroid examination by a doctor and proper interpretation of clinical data is required to identify thyroid disease. However, the limitations of a doctor due to age and time constraints lead to a lack of interpretation of patient clinical data. Therefore, a study was conducted on the analysis of thyroid disease classification to simplify and speed up the process of diagnosing thyroid disease using the Xgboost Multiclass method, which is expected to get an accuracy value above 90%. Keywords: Classification, Thyroid, Xgboost Multiclass, Machine Learning
K-MEANS ALGORITHM DATA MINING IN SALES LEVEL ANALYSIS

In this research, data collection and processing of sales of electronic goods were carried out with CV. Berkah Elektronik. The data obtained is then aggregated with the K-Means algorithm to gain knowledge about which electronic products are selling well on the market and which are not. In this study, the clustering method was used with Tanagra 1.4.48 software, and the K-Means algorithm was used as an algorithm to draw conclusions about which items were selling well and which were not inputted, namely product prices. goods and sale of goods. And from the results of testing and manual testing with the Tanagra application, the same clusters are produced, namely, products that do not sell well (Cluster_KMeans_1) and products that sell well (Cluster_KMeans_2).
Implementation of Design Thinking Methods in Information Systems Academic Guidance at the Information Systems Department Faculty of Computer Science Sriwijaya University

During their study period, one of the programs provided to students is academic guidance. Academic mentoring is an activity where students consult academic supervisors which aim to help students plan studies and solve study problems, one example is the academic mentoring program at the Information Systems Department, Faculty of Computer Science, Sriwijaya University. However, in practice there are problems experienced by students but they are not detected from the start because of the low monitoring of their academic supervisors which causes delays in graduation. This study aims to produce a prototype design of the Academic Guidance Information System so that it can be used as a platform for monitoring student guidance. The method used is the design thinking method which has 5 stages, namely empathize, define, ideate, prototype and test. At the ideate and prototype stages, the Fogg Behavior Model theory is used as a reference material. Evaluation of the prototype design results using the Maze Design usability tool. Testing uses two test methods, namely the Mission Usability Score (MIUS), Maze Usability Score (MAUS) and System Usability Score (SUS). The MIUS and MAUS tests got a score of 78 and entered the medium/marginal characteristics. The SUS calculation gets a score of 90.25 which leads to the acceptable category with a grade scale (A). The test results were carried out with 1 test iteration to 20 respondents and showed that the design had met the feasibility standard. Keywords : Information Systems, Academic Guidance, Design Thinking Methods, Fogg Behavior Model, Maze Design.
Business Strategy for the Development and Marketing of an HTML 5-based Learning Application for Children with Dyslexia

Dyslexia is a reading and spelling disorder that affects children's learning ability. Technology-based learning applications have great potential to help dyslexic children overcome learning challenges. The development of HTML5-based learning apps for children with dyslexia has great potential to improve the quality of their learning. However, the success of this app depends not only on the technological aspects, but also on a well-thought-out business strategy. App development should consider the needs and preferences of the end-users, namely children with dyslexia. Features that support differentiated learning and interactive introduction of material are very important. the marketing strategy should focus on the right market segment and craft relevant messages. Effective communication to parents and educators about the benefits of the app is also an important factor. A sustainable business model must be formulated. Options such as subscriptions, direct sales, or a combination of both should be analyzed taking into account long-term financial aspects. Competition analysis and uniqueness of product value should be clear. The app should be able to compete with similar products and offer added value that sets it apart. This research shows that the development and marketing of an HTML5-based learning app for children with dyslexia requires a well-thought-out business strategy. The success of the app depends not only on the quality of the technology but also on how it is positioned in the market and received by the end user. By combining technology, education, and business elements, this app has the potential to make a positive impact in assisting dyslexic children in the learning process.
The role of digital technologies in organized crime

Cyberspace has become a place where Internet users, in addition to performing everyday activities, such as communicating with other users, having fun or doing business, can very easily become victims of various cybercriminal activities. Criminals have improved and adapted their traditional criminal methods and with the help of digital technologies, they can harm both gullible individuals and governments themselves. Unlike real space, in the digital environment, cybercriminals can remain anonymous and avoid sanction by the authorities. Such cybercrime groups are often organized and operate at the international level, which makes it even more difficult to identify criminals. The aim of this paper is to inform about the methods used by individual cybercriminals, but also organized criminal groups, and suggests the need for international joint cooperation of all competent authorities, but also the need to inform and harmonize laws in this domain, in order to combat such illegal cyber activities more effectively.