Reviewerly/exHarmony huggingface dataset:
The Application of The Neighborhood Cleaning Rule in Conjunction with Random Forest, K-Fold Cross-Validation, and Grid Search for Addressing Imbalanced Datasets

Finding a model that explains and separates data classes is the process of classification in data mining, which is used to guess the class of an item with an unknown class. Numerous strategies have been developed since categorization can be applied in a wide range of applications. But a common issue with classification is class imbalance. Data predictability suffers as a result of the issue of unbalanced classes. There are typically not an equal number of examples in each class in real-world categorization datasets. Class imbalance is not a problem when there are not significant differences in how the classes are distributed. Due to class imbalance, prediction models may skew in favor of the majority class, with the minority class contributing little to the model. One often used strategy for addressing class imbalance is the resampling technique. This study's objective is to put the Resampling Algorithm into practice. Neighborhood Cleaning Rule Random Forest K-Fold Tune Grid Search was carried out on a dataset that includes cases of Low Birth Weight Infants (BBLR) in Majene Regency and breast cancer diagnoses, which was posted on the UCI website. The Neighborhood Cleaning Rule (NCL), a data processing method, eliminates noise or other disturbances from datasets used for modeling or analysis. The F1-Score, G-Mean, Accuracy, and Sensitivity values from the model are good.
Evaluating the Guidance Needs of Secondary School Students: An Empirical Investigation in Shimla City of Himachal Pradesh, India

The contemporary world is undergoing rapid transformations, leading to intricate challenges such as conflicts, frustration, and unhealthy competition. These complexities contribute to a value crisis within the social system, affecting personal values, family dynamics, and fostering maladjustment among adolescents. Against this backdrop, the present research delves into the guidance needs of secondary school students in Shimla city. The study uses a descriptive research design, employing the Guidance Need Inventory (GNI) for data collection. The study encompasses the entire student population of arts and science streams of Government Senior Secondary Schools operating in Shimla city, with a sample size of 240 students selected through a simple random sampling technique. Descriptive statistics reveal uniformly high levels of guidance needs across all areas for all students. Intriguingly, the results indicate that guidance needs do not significantly differ based on gender and academic stream, except for the sociological part in relation to their stream. The findings underscore the pressing need for guidance programs within schools, emphasizing the importance of employing trained professionals to address the diverse and high-level guidance needs of students. In light of the ever-evolving challenges in today’s society, the study contributes valuable insights into crafting targeted interventions that can positively impact the physical, social, psychological, educational, and vocational development of students, fostering their overall efficiency and well-being.
Navigating the Digital Divide: The Dual Impact of Technology on Business Management and Financial Outcomes

As technology advances all throughout time, it plays an important role in corporate development, having a big impact on managerial strategies and financial outcomes. However, there is a tendency for technology to have both positive and negative effects. In this paper, it has been analysed that how technology affects financial outcomes and management, substantiated evidences with data from different organizations and businesses. It is worth mentioning that giving a glance at its disadvantages one cannot rule out its use and in addition observing the advantages one cannot completely rely on it either thus it is important to discuss both aspects in depth.
Cyber Crime: A Constant Threat to Indian Banking Sector

The Indian banking industry has kept up with developing trends and major operational changes as a result of technological improvements. Banks are now among the largest benefactors of the IT revolution as a result of the enormous potential that the call for expansion has provided this institution. The exponential growth of online transactions. Banking Sector now has shifted its focus on adapting latest emerging technologies i.e., NEFT, RTGS, ECS, Mobile banking, UPI, Blockchain, Fintech, Cloud computing, Artificial Intelligence, Big Data and Virtual Reality which is the evidence of the fact that how technology has upgraded the financial system in the Indian banking sector (Mittal, 2020; Tiwari et al.,2021). However, opportunities also carry risks, and success has its own unique set of challenges (Mittal &amp; Gautam 2023). In the lexicon of criminal language, the term "cybercrime" is relatively new; it gained traction mostly in the late 1990s when technology was brought to the financial sector. The technological aspects of cybercrimes, their effects on the financial sector, and the challenges and fallout they create are the main topics of this research paper. Additionally, it highlights the need for stronger, more reliable security against upcoming cyberattacks. Thus, as computer and internet technology quickly advanced, new types of global crimes known the term "Cyber Crimes" has developed. The nature and pattern of cybercrime occurrences have evolved over time to become increasingly complicated and sophisticated. Since the last decade, banks and other financial institutions have continued to be targeted by cybercriminals. There is little prospect that this will change anytime soon; most cybercriminal operations are still primarily motivated by financial gain. The technological features of numerous cybercrimes affecting financial units and their effects are the main subject of this article. It further analyses the danger vectors that facilitate these crimes and develops countermeasures to assist fend off subsequent cyberattacks in order to better prevent such assaults in the future for greater security.
Dynamics of Blockchain in Supply Chain Management

Blockchain technology has gained widespread attention as a potential solution to the challenges faced by traditional supply chain systems. The use of blockchain technology in supply chain management offers numerous benefits, including increased transparency, security, and efficiency. This research paper aims to provide a comprehensive review of the current literature on the use of blockchain technology in supply chain management. The chapter provides an overview of the challenges faced by traditional supply chain systems, including issues related to transparency, trust, and data security. It then discusses the unique features of blockchain technology, including its decentralized and immutable nature, which make it an ideal solution for addressing these challenges. The literature review examines the potential applications of blockchain technology in supply chain management, such as tracking and tracing products, reducing fraud, and improving inventory management. The paper also provides an analysis of the current state of then industry, including case studies of companies that have successfully implemented blockchain technology in their supply chains. The study also highlights the potential benefits and challenges of using blockchain technology in supply chain management. The benefits include increased transparency, reduced costs, improved efficiency, and enhanced security. However, the challenges include issues related to scalability, interoperability, and regulatory compliance. Overall, this study provides valuable insights into the use of blockchain technology in supply chain management, highlighting its potential to transform the industry and offering recommendations for future research in this field.
Prediksi Jumlah Pendapatan Daerah Pada Kantor BPKPAD Dengan Metode Fuzzy Time Series

Regional income is an important factor that greatly influences regional finances which is useful as adding value to regional wealth. This research aims to find out what is included in Original Regional Income, what things influence original regional income and how to manage original regional income. This research uses data obtained from the Regional Revenue and Asset Financial Management Agency Office of Humbang Hasundutan Regency. The actual data used in this research is realized income from 2018 to 2020. In this research, the author uses the fuzzy time series method to make predictions. By using this method, the author will carry out a process of predicting or forecasting the amount of income from 2021 to 2023. By using this fuzzy time series method, the calculations carried out by the author produce conclusions with decent forecasting performance, namely in the MAPE value range of 20-50%, namely the error value is 32.86%. With this the absolute error is 11.83 and the prediction accuracy value is 67.17%
Efektivitas Media Pembelajaran Online Terhadap Hasil Belajar Siswa Muhammadiyah di Gorontalo

This research aims to analyze the learning methods that have been carried out so far at Muhammadiyah schools in Gorontalo. Learning media such as WhatsApp, Google Form, Zoom, Google Meet and so on are effective and have an impact on student learning outcomes. It is true that online learning has experienced setbacks in terms of learning achievement, but this is important to know the development of learning at Muhammadiyah schools in Gorontalo. The research method used is qualitative with descriptive analysis. The results of the research show that online learning has generally been successfully implemented for students at Gorontalo Muhammadiyah schools, but its implementation has not run optimally compared to offline learning
Perancangan Aplikasi Administrasi SPP Online Berbasis Web Pada Sekolah Dasar

This research aims to design a web-based online tuition fee administration application for use in Adhyaksa Elementary School located in Jambi City. The development of this application aims to enhance the efficiency and effectiveness of managing tuition fee administration and increase parental involvement in the payment process. The research will utilize a software development research method, comprising phases of needs analysis, application design, implementation, and testing. Data will be collected through interviews with the school authorities and relevant literature study concerning tuition fee administration and web-based applications. The results of the needs analysis will be used to design the online tuition fee administration application that suits the requirements and characteristics of Adhyaksa Elementary School in Jambi City. Subsequently, the application will be implemented using web technologies and programming languages that are appropriate for the purpose. In conclusion, the research has successfully developed the Web-Based Online Tuition Fee Administration Application for Adhyaksa Elementary School in Jambi City. The system functions well and includes features such as generating tuition fee invoices, recording fee payments, and sending payment notifications to parents/guardians.
Pengembangan Sistem Informasi Penerimaan Siswa Baru Berbasis Web Pada Sekolah Dasar Adhyaksa

SD Adhyaksa 1 JAMBI, one of the educational institutions located in Jambi City, whose online registration process is still through the Google form. Management starts from the admin who receives the Google form after which it is inputted again into Microsoft Excel. So that some obstacles arise because they still use the manual method which takes time to process. The system currently used by SD Adhyaksa 1 Jambi Elementary School is registration of new students by first coming to the school to check the registration schedule and filling out the form provided by the committee. This study aims to design a website-based new student registration system (PSB) at SD Adhyaksa 1 Jambi Elementary School to make it easier for prospective students to register. The results of this study indicate that the system can manage the process of admitting new students at SD Adhyaksa 1 Jambi Elementary School using PHP and MYSQL. The results of this study are an application that can help solve problems that exist at SD Adhyaksa 1 JAMBI in registering new students to making reports
Sistem Otomatisasi Pemberi Pakan Pada Peternakan Bebek Dengan Arduino UNO dan Bluetooth Menggunakan SmartPhone

In the Ayem Bareng Duck Livestock Group, the process of feeding currently used is still manual, namely by placing feed in the feed storage container provided in the duck cage. This becomes an obstacle for farmers because the feeding time is done 2-3 times a day, because it will take time and cost to get to the location of the duck coop. With the obstacles experienced, the author proposes to make a Prototype of a tool that can feed ducks automatically, on a scheduled basis and the amount of feed given can also be regulated. The components used in the tool are Arduino UNO, DC motor, Bluetooth Module HC-06 and others. The delivery method used is Prototype Evolutioner. The result of this research is a Prototype tool that can feed ducks automatically. With a feeding process that runs automatically and on a scheduled basis, the feeding will be regular, timely and the amount of feed given will also be precise and consistent. The process of setting the schedule and number of feeds can be done using an Android smartphone that is connected to the device via a Bluetooth connection. Another benefit of automatic feeding is that the time and costs incurred by farmers for feeding livestock will be less. The results of the research are tools that are able to feed automatically and on a scheduled basis.
Clustering Penilaian Kinerja Guru Menggunakan Algoritma K-Means

Assessment of teacher quality is one of the important things that schools really need. Imelda Medan Private High School every year conducts a performance appraisal of teachers. However, there are still obstacles such as printing and distributing questionnaires which are considered less efficient, requiring a lot of money and effort. As well as not using a particular system or method in processing the results of the questionnaire into grades and graphs for monthly reports and determining the best teacher. The clustering technique is one technique for assessing a teacher's performance and the K-Means algorithm is one of the clustering technique algorithms. This technique is very suitable for use in this study, namely evaluating the performance of teachers at Imelda Medan Private High School. The result of this study is the application of data mining with the K-Means algorithm method which can assess a teacher's performance using the criteria that have been obtained at the data collection stage.
Penyisipan Gambar Pada File Video Menerapkan Metode Two Sided Side Match

When entering a message into the message container it often leaks the message. Like the insertion of images in video files, there are often leaks of inserted image messages caused by irresponsible parties or intentionally leaking the messages contained. As a result, the message to be sent will change or the message to be sent cannot be sent because these people deliberately leaked the contents of the message sent. Insertion using the Two Sided Side Match method allows the secret message to be sent to be more secure, because this method uses two neighboring pixel values ​​to be able to predict how many messages will be inserted in a pixel. So that the insertion can be done in such a way and the image files that are inserted in the video cannot be hacked by irresponsible people. This research can produce security applications and image insertion data can be secured without containing suspicion so that data leaks do not occur
SOV in Russian: A corpus study

abstract: This paper analyzes the SOV order in Russian. Various hypotheses concerning its distribution have been proposed in previous functional and formal studies, but none of them became widely accepted. We tested these hypotheses on the large "Taiga" corpus and found that the main factor that triggers SOV is pronominalization: if the object is pronominal, it is highly likely to be preverbal. The absolute majority of non-pronominal objects follow the verb, although both giveness and contrastive, emphatic or narrow focus increase their (altogether very small) chances to be preverbal. Thus, the factors discussed in many previous studies play a role, but this role is extremely small. We propose a syntactic account to capture different information-structural properties of preverbal objects and the optionality of this construction.
Experimenting with single-pair vs. pair-list interpretations in Russian multiple wh-clauses

abstract: The paper reports on an experiment that shows the preference of pair-list interpretations over single-pair interpretations in Russian multiple coordinated and non-coordinated wh-interrogatives and wh-exclamatives. Moreover, the paper points out that neither the Superiority effect nor the distinction between argument and adjunct wh-phrases determines the choice of an interpretation in interrogatives and exclamatives. In general, the results challenge the existing theories of multiple wh-interrogatives and open a new page in investigating multiple wh-exclamatives.
Perancang Aplikasi Game Cangkulan (Kartu Remi) Denganmenerapkan Kombinasi Algoritme Fisher Yatesshuffle Danlinear Congruent Method

Games are a type of entertainment that is liked by everyone from the age of children, adults and the elderly. Besides being used to relieve fatigue in activities, a game can also function to train a person's mindset to find solutions to solve a problem that exists in a game. In the past, games were played traditionally such as card games, chess, snakes and ladders, hide and seek, and others. Along with the development of technology, the game was developed into more modern technology, such as computers (PCs) or smartphones. Playing cards or hoe is a game with big cards that play two or four people, a player lowers from the same group of pictures, the winner is considered finished if one of them spends his cards. Randomization in hoop games is very important, because randomization is what makes the game interesting to complete. This could be avoided if the Fisher Yates shuffle (named after its inventors Ronald Fisher and Frank Yates) was used to change the order of randomly assigned entries. The permutations generated by this algorithm appear with the same probability. This algorithm is declared biased because the permutations generated by this algorithm appear with the same probability. This is evidenced by the experiment of randomizing a set of cards that is repeated
Forecasting Tingkat Kepuasan Siswa Terhadap Proses Pembelajaran Menggunakan Metode K-Nearest Neighbor

Education is a crucial aspect in the formation of society and individual development. Student satisfaction is an important indicator that reflects the effectiveness of the learning process. In this context, this research proposes applying the K-Nearest Neighbor (KNN) method as a predictive tool to identify factors influencing student satisfaction. Historical data on student satisfaction is collected and analyzed to build a prediction model using KNN. This research aims to increase the effectiveness of the learning process by understanding the factors contributing to student satisfaction. Through personalizing learning experiences, identifying causes of dissatisfaction, and developing innovative strategies, KNN predictions can provide deep insights into educational institutions. It is hoped that the results of these predictions can be used to increase student retention, efficiency in academic management, and transparency in the educational environment. By integrating artificial intelligence into evaluating student satisfaction, this research contributes to developing more adaptive and responsive educational strategies. In conclusion, predicting student satisfaction using KNN is an essential basis for creating a learning environment that has a positive and sustainable impact on student development in the modern educational era. This data was collected by distributing questionnaires to students with a sample size of 160 data. So it is known that there are 112 training data and 48 testing data. Then, from applying the K-Nearest Neighbor method, the value of K=12 is known. So, the test results using the Python programming language with a data division of 70%:30% produce an accuracy value of 80%, a precision value of 79%, a recall of 100%, and an F1-Score of 88%.
Visible Difference Predictors: A Class of Metrics Based on Perception Science

The Visible Difference Predictors are data driven, white-box, and efficiently implemented metrics. They model important aspects of perception like spatial and temporal vision, foveation, and more, and are calibrated on datasets relevant for engineering purposes.
Operationalizing Quantum Technology for Navigation and Timing

Quantum sensors offer transformative performance gains over conventional technologies. However, laboratory devices are large, fragile, and expensive. This talk will cover the practical challenges of developing quantum sensors and clocks and highlight our recent work.
Enabling 3D Virtual Worlds in an Instant

A 3D display must faithfully reproduce the visual cues pertaining to vergence, accommodation, occlusion, and motion parallax. I will talk about recent work on computational display designs that enable such features in near-eye displays.
Computational Imaging with Randomness

I will present our recent research efforts in computational imaging with randomness and scattering, mainly focusing on light control applications like displays.
Comparative analysis of frameworks for mobile application development: Native, hybrid, or cross-platform solutions

In the modern digital world, mobile application development is a key area of information technology, and choosing the optimal approach to their development is crucial for effective market implementation. The purpose of this study is to conduct a comparative analysis of various frameworks for mobile application development: native, hybrid, and cross-platform solutions. To achieve this purpose, methods of analysis, synthesis, and comparison were used. Characteristics of different frameworks for mobile application development, including their performance, cost, and access to device capabilities, were analysed. The study disclosed that native frameworks are distinguished or their highest performance and the ability to provide a maximally native look and functionality of the application. However, this approach has limitations as it requires separate development for each platform, leading to increased time and resource costs. Hybrid solutions proved to be cost-effective, allowing the use of a single codebase for creating applications for different platforms. This simplifies the development and maintenance process. Nevertheless, hybrid applications may have limited performance due to the use of WebView for interface display and restricted access to device capabilities. Cross-platform frameworks, on the other hand, provide a balance between performance and resource efficiency. They allow using a single codebase for creating applications for multiple platforms and can achieve satisfactory performance. However, they may have limited access to certain device capabilities and application appearance. This study makes a new contribution to science by providing a detailed comparative analysis of different approaches to mobile application development and the frameworks used for their creation. The results obtained can be used to make informed decisions regarding the choice of a framework for mobile application development