Development Of Information Technology Research Articles

Information technologies in the mining industry

In the mining industry, a company’s level of competitiveness is primarily determined by productivity and operational excellence. Digitalization is becoming an important factor for mining companies to remain competitive in the production market. It is obvious that modern technologies are opening up new directions for increasing productivity. Mining companies invest huge amounts of money in the development and application of modern information technologies, energy and drilling systems to increase the production level and improve environmental efficiency. The study aims to analyze advantages and disadvantages of modern information technologies implemented at mining enterprises and to assess the prospects for using them in training occupational safety experts. It was established that in training occupational safety specialists, it is advisable to use domestic software. Examples of software products used by Irkutsk National Research Technical University are provided.

Digitalization Management in the Corporate Banking Sector of Ukraine

Introduction. Digitalization in trendy banking services requires changing their relationships with corporate clients within the framework of an individual approach to each client in the context of the development of the latest information and communication technologies and Internet marketing. Therefore, improving the business customer service system based on innovative technologies in banks to increase their competitiveness and profitability remains relevant. Aim and tasks. This study aims to examine the trends in banks’ service of corporate clients in the context of the latest financial technology development and to determine the directions for forming a digitalization strategy in corporate banking in Ukraine. Results. The growth of corporate clients in the banking system of Ukraine in 2022-2024 became possible due to the digitalization of management and the implementation of electronic payment systems, which contributed to the growth in the number of open accounts, which increased by 27%, while the growth of remote servicing increased from 78% to 89% of business clients. The top 10 banks in Ukraine account for 75% of the funds in corporate clients’ accounts. Along with high reliability, the clients of these banks have come to value the digital services that banks provide that meet global standards. As a result of the growth in the volume of banking services provided to corporate clients in 2023 using digital technologies, the volume of fee and commission income of the Ukrainian banking system increased by 13% compared to 2022. Conclusions. The banking system of Ukraine is in the process of digital transformation that promotes the transformation of financial institutions into high-tech platforms capable of creating new algorithms for generating profit from digital technologies. Implementing digital transformation in the banking sector increases the number of banks` corporate clients and their satisfaction with banking products and services. This leads to an increase in the efficiency of banking activities and banks’ profitability through increased commission income. The forecasting of commission income of Ukraine’s banking system conducted in this study showed that further introduction of digitalization into corporate banking could contribute to their growth by at least 8% annually.

5G Communication Network and Federated Learning for College Accounting Informatization Teaching

At present, the social economy is entering the information age represented by computer, communication technology and network technology as the core, and the continuous development of modern information technology will certainly have a great impact on the teaching mode, content and methods of traditional accounting computerization. We aim to improve the existing higher vocational accounting teaching mode by building a multi-integrated teaching mode through federated learning based on 5G communication network as an environment for efficient information transfer. In addition, we develop a joint optimization strategy for priority-dependent task offloading, wireless bandwidth, and computational power in a distributed machine learning approach to ensure that more resources are allocated to users with higher priority while protecting user data privacy and reducing learning overhead. We have conducted extensive simulation experiments for both environments, and these simulation results demonstrate the effectiveness of our proposed solutions for different problems from different perspectives.

ЖАПОНИЯДАҒЫ САЛЫҚТЫҚ ӘКІМШІЛЕНДІРУДІ ЦИФРЛАНДЫРУ ТӘЖІРИБЕСІН ЗЕРТТЕУ

The tax policy of the state in conjunction with the methods of tax administration is a determining factor influencing the amount of tax revenues of the budget. Tax discipline, forms and close interaction between taxpayers and regulatory authorities also play a significant role. The development of information and communication technologies (ICT) in recent decades has provided the tax authorities with a wide range of opportunities to increase government revenue, improve the efficiency and quality of services provided to taxpayers, including electronic filing of returns and payment of taxes, while reducing the administrative burden on taxpayers and reducing public administration costs. The first phase of digitalization was the computerization of routine tax administration processes (such as taxpayer registration and income records), and in the second half of last decade and early this decade, many tax authorities adapted their websites to simplify operations by introducing online forms and calculators for taxpayers. In June 2017, Japan National Tax Agency published a strategic plan for the Japanese tax administration called "Looking to the Future." This includes the pursuit of sound taxation and good governance to ensure that taxes are paid based on the understanding and trust of taxpayers. The National Tax Agency of Japan is well aware of the importance of continually moving toward the future it seeks, emphasizing the goal of transparent tax administration. Keywords: tax and customs administration, OECD countries, tax and customs, administrative costs, Tax Code, tax authorities, taxpayers, tax relations, digitalization.

OPTIMIZING THE OPERATION OF SMART CITIES TO INCREASE SUSTAINABLE TOURISM ATTRACTIVENESS

The article describes the main aspects of the development of smart tourism in nine smart cities. Analysis of the results of questionnaires assessing the state of the digital economy and the level of development of information and communication technologies in the tourism sector. The main trends and directions of development were assessed, as well as recommendations for optimizing the operation of smart cities to increase tourist attractiveness were proposed. In addition, the purpose of this article is not only to increase the tourist attractiveness, but also to ensure the sustainability of urban infrastructure, preserve environmental safety and improve the quality of life of the population. The economic consequences of reasonable tourism activities in the city, job creation opportunities and investment attractiveness were also taken into account. The results of the study show that with the help of intelligent technologies, it is possible to improve tourist information systems, expand digital services and increase the mobility of urban infrastructure.

PORTRAIT OF THE FREELANCE MARKET IN THE NEW ECONOMY OF KAZAKHSTAN

The current global trends in the rapid development of information technology, in particular the development of Internet marketing, have led to the fact that the bulk of the active population has become independent of a permanent place of work. Flexible forms of employment have become more popular nowadays, as they have allowed the employee to work as efficiently as possible, realize their labor potential and maximize job satisfaction. Modern restrictions associated with the pandemic have further increased the relevance of remote work. The purpose of the article is to study the remote work market in Kazakhstan according to data for 2021, as well as to study self–employed independent freelance professionals as a relatively new layer of the labor market working remotely. To achieve this goal, the work reflects foreign research on the freelance market, analysis of the infrastructure of the Kazakh remote work market, determination of the main characteristics of independent specialists for 2021 based on the author's survey: socio-demographic characteristics, working hours, income level, motivation, etc. The authors used methods of comparative analysis, generalization and systematization in their work, a historical and logical method. As a result, the article presents a portrait of the Kazakhstani freelance market, highlights the main socio-economic parameters of the modern freelance market and suggests reasonable measures for the development of this phenomenon.

Analysis of How Hotels Can Achieve Innovative Transformation in Brand Marketing Strategies in the Digital Age

With the rapid development of information technology, driven by new technologies such as artificial intelligence, big data, and cloud computing, the commercial landscape in China is moving towards digitalization. Digitalization refers to the process and technology of expressing, storing, processing, and transmitting information in digital form. The concept and practice of digitalization permeate all aspects of modern society, symbolizing not only a technological transformation but also a cultural, economic, and social revolution. Through digitalization, human beings can manage information more efficiently, enhance productivity, and explore new possibilities for innovation and development. In other words, digital technology not only improves daily work efficiency but also brings many conveniences to people’s lives; it is a product of the technological era. To stand out in the competitive digital age, hotels must master trends, seize opportunities, face challenges, and quickly achieve innovative transformation in brand marketing strategies to capture market share and become industry leaders. This paper explores how hotels should realize innovative transformation in brand marketing strategies under the new technological era.

Perancangan Sistem Informasi Akademik Dengan Menggunakan Metode Rapid Application Development (RAD) Berbasis Website

The education system in Indonesia is experiencing rapid development characterised by an increase in the number of schools, students, and the complexity of the teaching and learning process. To manage academic data that includes information on students, teachers, grades, attendance, and class schedules, schools need to improve the quality of their services. Education is an important aspect of the country's development, and in this context, Academic Information System (AIS) plays a vital role in supporting administration and management in educational institutions. This research focuses on SMP NU Medan, where the need for an efficient and integrated AIS is increasingly urgent to improve the quality of education services. With the rapid development of information technology, the Rapid Application Development (RAD) method is the right choice because it allows rapid and iterative application development. In addition, Web-based AIS provides wide accessibility for education stakeholders, including making it easier for prospective students to access information and register online. The case study at SMP NU Medan provides a strong foundation for this research by identifying specific needs and coming up with solutions that are relevant and can be implemented immediately. This research aims to design, implement, and evaluate a Web-based AIS using the RAD method, so that it can make a positive contribution in improving the efficiency, accuracy, and quality of service of the school.

STUDY ON THE INFLUENCE OF CUSTOMER PERCEIVED VALUE ON REPEATED PURCHASE BEHAVIOR OF KNOWLEDGE PAYMENT IN ONLINE SHOPPING ENVIRONMENT: AN EMPIRICAL ANALYSIS BASED ON ONLINE EDUCATION PLATFORM

Nowadays, with the rapid development of information technology, numerous platforms and groups have entered the field of knowledge payment, thereby initiating a new trend. Despite the recognition of some users, there is still a low purchase or repeat purchase behavior, and many companies face a low fan conversion rate and a scarcity of loyal fans. Therefore, this paper aims to explore the impact of perceived value on consumers' repeated purchase behavior of knowledge so as to propose constructive suggestions for the development of the knowledge payment industry. We introduce customer recognition and brand effect as mediating and moderating variables in this study, and construct an analytical model for knowledge-based repeat purchase behavior on an online education platform. We find that each dimension of perceived value completely mediates the influence on the mediating variable "sense of identity", with the exception of the educational function value, which only partially mediates the influence. Enhancing the brand effect strengthens the relationship between each dimension and consumers' repeated purchase intention, thereby verifying the existence of the moderating effect. However, the social value dimension's influence did not significantly change, making it impossible to verify its moderating effect.

Optimization and performance improvement of distributed data storage in hybrid storage systems

With the rapid development of information technology, the storage and processing of massive data has become one of the important challenges facing the current computing field. Traditional centralized storage systems have been unable to meet the needs of big data applications, while distributed storage systems have become the infrastructure of modern data centers because of their high scalability and high availability. However, in practical applications, a single distributed storage model is often difficult to balance cost-effectiveness and performance requirements. Therefore, this paper proposes a hybrid storage system model combining local storage and cloud storage resources and discusses a series of optimization strategies for this model. The focus of the research is to improve the overall performance of the system through the design of intelligent data sharding, redundancy and fault tolerance mechanisms, and the application of effective load balancing technology. The effectiveness and superiority of the proposed method are verified by testing and analyzing several typical application scenarios on the experimental platform. The experimental results show that the optimized hybrid storage system not only significantly improves the speed of data access, but also effectively reduces the storage cost, demonstrating its potential in future large-scale data management.

Comparison of Machine Learning Algorithms in Public Sentiment Analysis of TAPERA Policy

The rapid development of information technology has changed the way people interact and express their opinions on public policies, including the People's Housing Savings (Tapera) policy in Indonesia. People now primarily express their views openly on social media platforms like Twitter, generating a substantial amount of text data for analysis to understand public sentiment. However, the main challenge in this sentiment analysis is determining the most effective machine learning algorithm for classifying public opinion with high accuracy. This study aims to compare the performance of three machine learning algorithms, namely Naïve Bayes, Support Vector Machine, and Random Forest, in analyzing public sentiment towards the Tapera policy. This study analyzes public comment data obtained from Twitter. We measure the accuracy of each algorithm to determine its optimal performance in sentiment classification. The research method consists of several stages, starting with data collection, text preprocessing to clean and prepare data, and then applying the three algorithms to analyze sentiment. The results showed that Naïve Bayes had the highest accuracy of 69.17%, followed by Support Vector Machine with an accuracy of 68.42%, and Random Forest with an accuracy of 66.17%. This shows that Naïve Bayes is the most effective algorithm to use in sentiment analysis of public comments related to the Tapera policy, especially in the context of complex text data from social media. The conclusion of this study is that Naïve Bayes is superior in classifying public sentiment towards the Tapera policy compared to Support Vector Machine and Random Forest. As a result, this study makes a significant contribution to selecting the most appropriate machine learning algorithm for public sentiment analysis towards public policy, which in turn can help the government understand and respond to public perceptions more effectively.

SISTEM INFORMASI E-KATALOG PERPUSTAKAAN MUSEUM NEGERI NUSA TENGGARA BARAT BERBASIS WEBSITE

Library digitalization has become increasingly important in the era of information technology development. Digitalization enables libraries to provide easier and more efficient access to various information sources. This study proposes to design and construct an online e-catalog information system for the Nusa Tenggara Barat State Museum Library, which currently relies on manual book searches. The waterfall model was the software development methodology utilized in this study. This research is designed to facilitate library data management and assist visitors in finding the books they need. The implementation of this system includes features such as sign-in, dashboard, profile, services, and catalog. The testing results demonstrate that the system is intuitive, offers comprehensive information, and all functionalities function as intended. In conclusion, this e-catalog information system successfully improves the effectiveness of library services and simplifies book data management.

A digital service standardization model for Nigeria: The role of NITDA in regulatory compliance

The digital transformation in Nigeria has accelerated the need for effective standards and regulations to ensure quality and interoperability of digital services. The National Information Technology Development Agency (NITDA) plays a crucial role in this context by overseeing regulatory compliance and fostering a conducive environment for digital innovation. This review presents a comprehensive model for digital service standardization tailored to Nigeria's unique socio-economic and technological landscape. The proposed model emphasizes the importance of regulatory frameworks established by NITDA in promoting consistency, reliability, and security across various digital platforms and services. The model outlines key components necessary for effective standardization, including policy formulation, compliance monitoring, and stakeholder engagement. It integrates best practices from international standards while adapting them to local needs and challenges. Central to the model is the role of NITDA in developing and enforcing standards that align with global benchmarks, thereby ensuring that Nigerian digital services are competitive and secure. A significant aspect of the model is its focus on regulatory compliance, which is vital for maintaining the integrity of digital services and protecting user data. The review discusses how NITDA's regulatory initiatives address common issues such as data privacy, cybersecurity, and service quality. By examining case studies and industry feedback, the review highlights the impact of NITDA's efforts on improving the overall digital service ecosystem in Nigeria. The model also addresses the need for continuous evaluation and adaptation of standards in response to technological advancements and emerging threats. It proposes mechanisms for regular updates and revisions to standards, ensuring that they remain relevant and effective. Additionally, the review explores the role of collaborative partnerships between NITDA, industry stakeholders, and academic institutions in advancing digital service standardization. The proposed digital service standardization model provides a structured approach to enhancing regulatory compliance and fostering a robust digital environment in Nigeria. It underscores the pivotal role of NITDA in driving these efforts and offers a framework for ongoing improvement and adaptation to the dynamic digital landscape.

Efficiency of Online Learning and Difficulties Encountered: Case of Albanian Students

The end of last century and the beginning of 21st century marked a significant evolution in information technology and virtual world as a whole, which influenced and dictated the way of living and working around the world, especially in the most developed countries. Thanks to this development, it was possible to cope successfully and continuously during Covid 19 pandemic. Education as one of the strategic and most sensitive sectors, due to Covid 19 pandemic, faced the online learning platform around the globe. In the US and in some developed EU countries, the online learning platform has been a practice applied in the past. However, for many other countries, including Albania, the online learning platform was something new that students and faculty had to face at any rate. Yet, are stakeholders ready to face the online learning platform? This study has analyzed some of the obstacles faced by students, upon the implementation of the online platform. It will be observed whether the efficiency of online learning will have the same efficiency as classical learning. These many other questions will be answered through an empirical and theoretical analysis that was made possible through an online survey, which surveyed 1672 students from all private and public universities operating in the Albanian territory. Multi-factor analysis will be performed through SPSS program, ANOVA test, and Chi-square (x2). Finally, some conclusions finalize this scientific study.

Tourist attraction reviews based on deep learning Sentiment Analysis System

In recent years, with the rapid development of information technology, online travel reviews have become a key source of information for tourists to understand destinations. In the face of massive and unstructured travel review data, this paper innovatively proposes a sentiment analysis system for tourist attraction reviews based on deep learning. The system cleverly uses the BERT pre-trained model, and combines Bi-LSTM and attention mechanism to significantly improve the accuracy of sentiment classification. In order to verify its effectiveness, this paper conducts experiments on the evaluation data of scenic spots in Hubei Province. The experimental results are very impressive through multi-dimensional indicators such as accuracy, precision, recall, and F1-score. The accuracy rate is as high as 93.5%, the accuracy rate is 94.1% for positive reviews, the accuracy rate for negative reviews is 92.8%, the recall rate is 92.1%, and the F1-score is 92.8%. This fully shows that the system can accurately identify the emotional tendency of tourist attraction reviews, provide a strong basis for scenic spot management, help it adjust service strategies in a timely manner, and also assist tourists to make more informed decisions, providing a reliable technical reference for the digital transformation and intelligent management of the tourism industry.

Artificial Intelligence Empowering the Innovation of Ideological and Political Course Teaching Models in Universities

With the rapid development of information technology, AI has permeated education, showing great potential in innovating teaching models. Ideological and Political Courses in universities face challenges like a disconnect between content and student needs, low interaction, and poor engagement, requiring urgent reforms. This study explores AI-enabled approaches such as personalized teaching, intelligent assessment, and VR/AR technologies. It demonstrates that AI can enhance interaction, improve learning experiences, and support teaching quality. Despite challenges like ethics and data privacy, AI’s continued evolution will lead to broader applications, deeper integration, and new momentum for teaching model improvements in these courses.

Visualisation Design-Driven Research on Non-Heritage Dissemination and Digital Reproduction

This paper is entitled "Study on the Dissemination and Digital Reproduction of Non-heritage Driven by Visualization Design". Against the background of the rapid development of digital information technology in national development, the application of information visualization design in the dissemination and digital reproduction of intangible cultural heritage is discussed. Through the dissemination of digital media and the production and analysis of visualization, the dissemination and digital representation of intangible cultural heritage is promoted. The research in this paper focuses on the dissemination and digital reproduction of intangible cultural heritage, aiming to make readers pay attention to intangible culture through visualization design visual presentation and to guide the development direction for intangible heritage inheritance and development.

Knowledge graph of agricultural engineering technology based on large language model

Agriculture is an industry that has evolved alongside human evolution and has faithfully fulfilled its core mission of food supply. With the reduction of rural labor, the progress of artificial intelligence and the development of Internet of Things technology, it is hoped that the efficiency and productivity of the agricultural industry can be improved. Recently, with the development of information and intelligent technology, agricultural production and management have been significantly enhanced. However, there is still a considerable challenge in effectively integrating the vast amount of fragmented information for downstream applications. An agricultural knowledge graph (AGKG) will serve as the foundation for achieving these goals. Knowledge graphs can be general or domain-specific, and are the basis for many applications, such as search engines, online question-and-answer services, and knowledge inference. Therefore, there are many knowledge graphs, including Wikidata and DBpedia, for accessing structured knowledge. Although some general knowledge graphs contain some entities and relationships related to agriculture, there are no domain-specific knowledge graphs specifically for agricultural applications. Therefore, this paper proposes an agricultural knowledge graph (AGKG) for automatically integrating large amounts of agricultural data from the Internet. By applying natural language processing and deep learning technologies, AGKG can automatically identify agricultural entities from unstructured text and connect them to form a knowledge graph. In addition, we have described the typical scenarios of our AGKG and validated it through real-world applications such as agricultural entity retrieval and agricultural question-answering.

The Impact of Digital Literacy on the Creativity of Art Major University Students

This paper discusses the influence of digital literacy on the creativity of college students majoring in the fine arts. In the context of the rapid development of information technology, digital literacy has become an important part of artistic creation. An analysis of the impact of access to information and digital technology on the creative process reveals that rich knowledge reserves and access to information can stimulate inspiration and promote artistic creativity. Moreover, the use of digital tools provides creators with broader creative space and flexibility, thus enhancing their creativity. The paper also highlights the shortcomings of digital literacy education in colleges and universities and proposes suggestions for improvement, including updating the curriculum, improving equipment and strengthening teacher training, to better support the enhancement of digital art creation and the creativity of fine arts students.

Development of information technology for multi-criteria assessment of petrol stations vulnerability to accidents

Development of information technology for multi-criteria assessment of petrol stations vulnerability to accidents