bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative analysis of atmospheric air and surface water quality standards in Ukraine and EU
Authors: Mitryasova Olena P. , Mats Andrii D. , Chvyr Vadym A. , Smyrnov Viktor M.
Published: February 2025

The comparative analysis of environmental quality standards covers the assessment and comparison of standards and requirements established for environmental protection in Ukraine and EU countries. It covers various environmental objects such as air and water.The purpose of the study was to determine the key indicators of environmental quality and compare the standards of atmospheric air and water quality that operate in the EU countries and Ukraine.Research materials and methods. Atmospheric air and water quality standards, which are in force in the EU countries and Ukraine, were chosen as the subject of the study. The research materials are normative legal documents of Ukraine and the EU. The research methods were comparative analysis of maximum permissible concentrations of chemical substances, system analysis and the method of analogies.Research results. It was determined that for determining the quality of atmospheric air, the indicators of maximum permissible concentrations of pollutants are, in most cases, stricter, however, for example, for ozone, the quality standard in the EU is stricter for EU countries. At the same time, the main air quality index in EU countries is an integrated indicator - air quality index.For aquatic ecosystems, a comparative analysis of surface water quality standards introduced in Ukraine, EU countries and the USA (using the example of the state of Ohio) for many quality components, the EU and USA standards are stricter, especially for indicators such as: BOD, COD, chlorides, sulfates, phosphates, nitrates, nitrites, ammonium, chromium, mercury, petroleum products. However, according to indicators such as mineralization and copper, quality standards in Ukraine are stricter. There are almost identical requirements for such integrated quality indicators as pH and hardness.
Modeling of fine dust distribution in atmospheric air within residential buildings
Authors: Petrushka Ihor M. , Latsyk Nataliia V. , Petrushka Kateryna I.
Published: February 2025

Sustainable development of the country includes a balance between economic growth, social welfare and environmental safety. This means managing all aspects of life so as to ensure the well-being of people and not harm the environment. This is important so that future generations can live in safety. The quality of atmospheric air is of particular importance, as it has a direct impact on people's health. Cement industry is one of the first positions on the scale of emissions of harmful substances, including carbon dioxide (CO₂). In its structure, dust emissions from cement plants are considered mainly as aerodisperse systems. In these systems, the dispersed phase consists of solid particles (dust) or fine droplets, while the dispersed phase is a gas-air mixture This gas-air mixture may contain a variety of contaminants, both organic and inorganic. Predicting and regulating air quality in areas adjacent to cement plants can be achieved by modeling the spread of cement dust. This simulation allows to determine dust concentrations in the air at different distances from the source of emissions and helps to develop effective measures to reduce the man-made load on the environment.Cement dust is one of the priority pollutants that must be considered when organizing air quality monitoring. Effective atmospheric monitoring of dust pollution of the air environment allows you to obtain up-to-date data on dust concentration, analyze trends of change and assess the impact on human health and the environment.Reducing the technogenic impact of aerodisperse systems formed as a result of cement production is an important task to ensure environmental safety.We conducted a detailed analysis of the literary data of this problem and developed a mathematical model for predicting the distribution of cement dust in residential buildings. Invention proposes improvement of dust-collecting equipment in cement production that allows to reduce emissions of cement dust into atmosphere by 10-15%.
Multivariate discriminant analysis of the electrocardiogram
Authors: Sakharova Polina A. , Balandin Vyacheslav A.
Published: February 2025

Objectives. The article presents a study of heart rate variability using multivariate discriminant analysis. Representing an effective statistical method of classification, discriminant analysis can be used to divide objects into groups based on differences in the parameters characterizing these objects. The effectiveness of multivariate discriminant analysis, which is actively used in medicine to diagnose cardiovascular pathologies, is due to the wide range of analyzed parameters: statistical, spectral, and autocorrelation. The aim of the work is to identify the parameters of variational pulsometry, which provide the best distinction between healthy patients and patients with arrhythmia, by means of discriminant analysis.

Methods. The durations of cardiac intervals of patients aged 63–72 years, which had been placed in the open database of biomedical signals PhysioNet.org, were used as initial data. When selecting the arguments of the discriminant function, priority was given to parameters that were weakly correlated with each other, had a normal distribution, and differed between healthy and ill patients. The statistical significance of differences between the parameters of the two groups was tested using Student’s t-test and Mann–Whitney U test.

Results. Two discriminant functions were obtained: the first depended on three time-domain parameters, while the second included one spectral and one autocorrelation parameter in addition to time-domain parameters. In both cases, the average values of the discriminant function for healthy and sick patients were calculated. The statistical significance of differences in the average values of the discriminant function in the two groups was investigated using Student’s t-test.

Conclusions. The values of the first discriminant function are shown to differ insignificantly between healthy and sick patients, while the inclusion of autocorrelation and spectral parameters in the number of arguments of the discriminant function provides pronounced and statistically significant differences between patients of the two groups. Thus, the high significance of spectral and autocorrelation parameters in arrhythmia diagnosis was demonstrated.
Influence of window design and environmental variables on the window opening behavior of occupants and energy consumption in residential buildings
Authors: Sivapriya Chelliah  , Subbaiyan Gnanasambandam  , Srinivas Tadepalli
Published: February 2025

Building energy use, thermal comfort, natural ventilation, and indoor air quality are influenced by the occupant behavior related to the opening and closing of windows in residential buildings. Studies about window opening and closing behaviour focused mainly on environmental variables (indoor temperature and air quality, climatic factors) and contextual parameters (season, time of the day). This paper investigates the influence of factors related to window design and environmental variables on the frequency of opening and closing the windows and the duration of windows in the open position. The impact of window opening behavior on residential energy consumption is also explored in this study. Data related to window characteristics, ease of operation, hours of windows in open/closed state, and frequency of opening and closing the windows are collected through a questionnaire survey from 365 residences. Energy consumption data is obtained from utility bills and weather data from the meteorological department. Among 365 residences, window opening and closing behaviour were monitored in three residences with loggers for a year to validate the data collected through the questionnaire survey. This study reiterated the influence of environmental variables on the windows’ open duration and the frequency of opening and closing the windows. The results reveal that the window characteristics influence the windows’ open duration and the frequency of opening and closing the windows. The study divulged that energy consumption is influenced by the hours the window is in an open state and the frequency of opening and closing the windows.
Prerequisites for the digital transformation of the financial market in the era of globalization
Authors:   Al-Farabi Kazakh National University, Kassenova G. , Supugalieva G. ,   Al-Farabi Kazakh National University, Assilova A. ,   Al-Farabi Kazakh National University
Published: February 2025

The terms "digitalization" and "digital transformation" are clarified based on the experience of research of international financial institutions and foreign companies leading developments in the field of information technology in modern financial markets.
In the context of modern globalization, new technologies such as blockchain, artificial intelligence, and cryptocurrencies are widely used to enhance the efficiency and stability of financial systems. Analyzing the digitalization of the financial market as an evolutionary stage in the development of modern society, the main stages of its formation should be taken into account. At the same time, it should be emphasized that the basis of this process is the active introduction of the achievements of the FinTech industry into financial relations. Today, a new stage in the development of the financial market is being formed with requirements for harmonizing regulation, expanding the list of potential participants and strengthening consumer protection. The digital transformation of the financial market has a significant impact on increasing the digital literacy of the population and business.
Methods for Financial Recovery of Agricultural Enterprises in Kazakhstan
Authors:   L. N. Gumilyov Eurasian National University, Sarbassova R. , Aimurzina B. ,   L. N. Gumilyov Eurasian National University, Сelik S. ,   Izmir Kâtip Celebi University
Published: February 2025

The study of techniques of financial recovery of agricultural
formations in the Republic of Kazakhstan is important for the country's economy since the agro-industrial complex must be stable and sustainable. Agriculture is important to Kazakhstan's socioeconomic growth since it employs a large portion of the people, contributes to food security, and accounts for a considerable portion of GDP and exports. The study's goal is to develop and test effective financial rehabilitation methods for agricultural enterprises in the Republic of Kazakhstan in order to restore their financial stability, increase competitiveness, and ensure the agroindustrial complex's long-term development.
During the study, an analysis of existing approaches to financial recovery was conducted, international experience was studied, problems and characteristics of agricultural formations in Kazakhstan were identified, and specific
recommendations were proposed to improve the measures implemented, taking into account national economic conditions and agricultural specifics. The use of comprehensive methods of financial recovery, including debt restructuring, government support, the introduction of innovative technologies and increased operational efficiency, will significantly increase the financial stability of agricultural enterprises in the Republic of Kazakhstan.
Problems and prospects of audit of the efficiency of state policy in the field of development of small and medium entrepreneurship in the Republic of Kazakhstan
Authors:   L.N. Gumilyov Eurasian National University, Mukushev Т. , Alibekova B. ,   L.N. Gumilyov Eurasian National University, Syzdykova Е. ,   Karaganda Е.А.Buketov University
Published: February 2025

This article discusses the regulatory and methodological support for the audit of the effectiveness of public policy in the field of small and medium business development, which plays a special role in the audits. The methodological basis of the article includes the methods of observation, generalization, comparison, synthesis, induction and deduction. The information basis of this study consists of the existing regulatory, legislative and methodological
framework, as well as scientific data from international organizations and statistical agencies. The article identifies the main problems associated with the assessment of the qualitative development of SMEs, notes the need to take into account its contribution to replenishing the budget with taxes, creating jobs and paying wages to employees. Additionally, attention is paid to the formation of high-quality methodological support that will take into account the indicators of achieving the indicators of SME development programs as criteria for auditing the effectiveness of government support measures for small and medium-sized businesses. The materials of the article can be used in the preparation of lecture materials on the subject of the relevant discipline.
Sustainable rural development of the Kyzylorda region in the context of the State development strategy
Authors:   K.Kulazhanov Kazakh University of Technology and Business, Kassymova S. , Makysh М. ,   K.Kulazhanov Kazakh University of Technology and Business, Mukhanova А. ,   Korkyt Ata Kyzylorda University
Published: February 2025

The article analyzes and examines the sustainability of rural areas of the Kyzylorda region,
in the context of the concept of rural development of the Republic of Kazakhstan. The team of authors
defines and characterizes the sustainable development of rural areas, which are primarily aimed at
ensuring a higher increase in the well-being of the rural population of the Kyzylorda region. Today, it
must be recognized that the quality of life in rural areas lags significantly behind the quality of life in
urban areas.
To address this issue, the Government of the Republic of Kazakhstan, within the framework of
sustainable rural development, has developed and adopted important, strategically important programs
such as the Concept of Rural Development for 2023-2027, the AuylAmanaty program to increase rural
incomes, the program "With a diploma to the village" was adopted to increase human resources, in
order to The Assyl Meken mortgage program and many others have been adopted and successfully
implemented to provide their own housing for the rural population. The above-mentioned programs
are mainly aimed at improving the quality of life and well-being of the rural population of the Republic
of Kazakhstan.
The team of authors assesses the state of sustainable development of rural areas of the Kyzylorda
region, where the most pressing problems of the region and further ways to solve them are identified
Nudging laypersons to participate in financial speculations
Authors: Vernikov A. V. , Kashapova E. R. , Kurysheva A. A. , Ryzhkova M. V.
Published: February 2025

We study the institution of pseudo-investment, that is, the placement of money by a layperson under the influence of a media personality who acts as a referral leader actively attracting naïve investors to high-risk yet high return project. We relied on four conceptual frameworks: household financialization as a part of critical macroeconomics; nudging, or pushing consumers to behave in a particular way, treated in our case as a set of unethical tools to pursue narrowly defined self-interest of a referral leader; original institutionalist evolutionary theory to identify behavioral patterns and motives which are targets to involve individuals or their groups in pseudo-investment schemes; reasoned action approach to structure the findings in the context of social psychology. Empirical data comprises the array of text extracted from the introductory video webinars on four investing courses authored by four financial consultants whose activities are featured by the sings of a funnel scam. Discourse analysis implied special attention to manipulative “nudges” financial consultants apply and people’s motives they refer to. Our findings confirm that, attempting to involve individuals into pseudo-investing, referral leaders exploit unproductive patterns related to self-regard proclivity in human nature (greed, self-interest, acquisitiveness, idleness, pecuniary emulation, ostentatious motives in consumption, the desire for undeserved profit, predatory habits, etc.). We also found that productive behavior (such as labor efforts, education activities, and nonspeculative professional engagement) is rendered less important than predatory motives which are hidden behind false care, empathy, and compassion. We claim that the conceptual difference between productive and unproductive behavior patterns, motives and values remains relevant in the contemporary society. Mixed method research and a combination of concepts from various research fields explain why this paper adds to academic literature in behavioral and institutional economics, social psychology, as well as critical macroeconomics research related to financialization and its effects.
Biosynthesis α-Fe2O3 Nanoparticles Extracted from Fenugreek from Photocatalytic Adsorption of Methyl Orange Dye
Authors: Aayushi Chittora  , Jai Singh Jodha
Published: February 2025

The increased surface area of nanoscale metal photocatalysts may promote the degradation of environmental pollutants. Fenugreek extract and FeCl3.6H2O precursor were used to biosynthesize hematite (α-Fe2O3) nanoparticles (NPs), which were then characterized by FTIR, SEM, EDX, and XRD techniques. Under ultraviolet light, the photoinduced adsorption of methyl orange dye was investigated with fenugreek extract-derived α-Fe2O3 NPs acting as a photocatalyst. The highest photodegradation efficiency under optimal conditions was 65%.
Challenges of Online Language and Literature Learning to the BSE-English Students of Pangasinan State University-Bayambang
Authors: Dela Cruz Fariz Montemayor
Published: February 2025

This descriptive research aimed to identify challenges in online language and literature learning faced by Bachelor of Secondary Education - Major in English students at Pangasinan State University, Bayambang Campus, and to propose coping strategies. The study surveyed 153 students using a structured questionnaire with three sections: sociodemographic profile, challenges in online learning, and coping strategies. Data collection was facilitated online via Google Forms, and a non-experimental descriptive approach was applied to analyze the responses.
Results indicated that most respondents were female, second-year students from low-income families (earning Php 10,000 or less monthly). The majority relied on mobile phones for online learning and expressed a preference for traditional, face-to-face classes. Key challenges impacting academic performance included difficulties in language and literature learning, self-regulation, technological literacy and competency, technological sufficiency, and learning environment—all rated as having a “Great Extent” effect on learning outcomes.
The most effective coping strategies identified were self-discipline (79.1% of respondents), self-study (78.4%), and adaptation (73.2%). These strategies enabled students to navigate the demands of online learning. The study suggests further research to examine the relationship between student profiles and challenges in online education to deepen understanding of specific factors influencing academic experiences and outcomes.
A feature selection algorithm for PNN optimized by binary PSO and applied to smart city intrusion detection system
Authors: Shi Yanyan , Liu Gaoyuan , Yang Boxiong , Chen Yong , Liang Zhenbao
Published: February 2025

In the smart city construction and development process, network security is a vital link that must be addressed. As a critical technology to ensure the security of smart cities, intrusion detection systems play multiple roles, such as real-time monitoring, threat identification, and event response. By deploying and optimizing efficient intrusion detection mechanisms, smart cities can effectively resist various network attacks and ensure the safety and stability of urban operations. Therefore, this paper proposes a PNN feature selection model based on binary particle swarm algorithm optimization (BiPSO) to select features for network traffic data and remove a large amount of redundant information; then, a variety of classifiers (random forest, KNN, Adaboost, BPNN) are used to classify the data after feature selection. We use NSL-KDD for experiments. The experimental results show that the BiPSO-PNN proposed in this paper not only achieves accurate selection of data set features but also guarantees high accuracy on other classifiers, which has vital practical significance.
An Automated Rack Storage System for Railway Devices and Equipment Using QR Code and Cloud Database Technology
Authors: Sarong Charm Angel R. , Ignacio Aaliyah Mikaela A. , Guzarin Chrizel R. , Valdueza Rhen Jester , Delizo Carlo Jay G. , Bunag Sherlie D. , Aunario Connie C. , Martin Weellrr D. , Garcia Julius G.
Published: February 2025

This research project aims to develop an automated storage rack system for railway devices and equipment using QR codes and cloud-based database technology. The automated rack system can precisely store railway devices and equipment using the cloud-based QRC/QR Code database. It explores the drawbacks of conventional storage management methods in the railway industry, like lack of order, inefficiency, and security issues. Using QR codes to track and monitor all tools, equipment, and components, the proposed system includes a cloud-based database providing real-time inventory visibility and data analysis capabilities. Additionally, the system features CCTV surveillance for added security level and mobile phone integration to ensure that only you, as the end user, get access. Based on the study's findings, automated storage rack systems promise significant improvements in efficiency, security, and operational effectiveness for railway maintenance.
Development of Cloud Messaging-Based Mobile Learning Application to Improve Interaction in the Learning Process at STIKI (ebelajar case study)
Authors: Perdana Derajat Aalim
Published: February 2025

In the digital era, the use of technology in the learning process is crucial to improve the effectiveness and efficiency of education. This study aims to develop a cloud messaging-based mobile learning application to improve interaction between students and lecturers at STIKI. This application is developed using the Dart programming language with the Flutter framework and utilizes cloud messaging technology to enable fast and effective communication in the form of announcements, discussions, and task notifications.
The research method used is the research and development (R&D) method with the Agile software development model. The development stages include needs analysis, design, implementation, and application testing and evaluation. The results of the study show that this mobile learning application can increase the frequency and quality of interaction in the learning process. This increase is measured through user satisfaction surveys and analysis of application usage data.
With this application, it is expected to provide a positive contribution in increasing student involvement in the teaching and learning process, as well as making it easier for lecturers to deliver materials and information related to lectures. This study also presents recommendations for further development so that the application can continue to be adjusted to user needs and technological developments.
AI- A Distance Learning Tool
Authors: Chen Xuelian , Yang Yang , Xie Jin
Published: February 2025

With the development of information technology, artificial intelligence (AI) has shown great potential in the field of distance learning. This article focuses on AI as a distance learning tool and explores its intelligent learning assistance features, including providing students with personalized learning paths, real-time Q&A, and more. It also explains the role of AI in the generation and optimization of teaching content, such as using technology to generate high-quality course text and materials, and optimizing content based on feedback. Research shows that AI is revolutionizing remote learning and can dramatically improve learning outcomes.
Research on Financial Investment Risk in Enterprise Financial Management
Authors: Yan Jiyao , Zhang Hao
Published: February 2025

This paper focuses on the financial investment risk in the financial management of enterprises, analyzes its causes, types and potential threats to the financial security of enterprises. It is pointed out that the main causes of financial investment risk are the lack of perfect risk management system, the insufficient ability of financial managers and the change of external environment. To deal with these risks, this paper puts forward a series of strategies, including building a comprehensive financial risk investment system, improving the professional quality of financial management team, balancing returns and risks, and strengthening internal control. The effectiveness of the proposed strategy is verified by case analysis. The research results of this paper not only enrich the theoretical system of financial investment risk management, but also provide practical guidance for enterprises, which is helpful to improve the level of financial security of enterprises and ensure steady development.
Update Modeling and Decision Analysis of Product Data Based on MATLAB
Authors: Wu Zhaomei , Li Gang
Published: February 2025

In this paper, the automatic pricing and replenishment decision of vegetable commodities in fresh supermarket are quantitatively analyzed, and a revenue maximization model of vegetable commodities is established, which considers demand forecast, sales revenue, cost plus pricing, replenishment quantity and sales mix. Based on grey prediction and correlation analysis, this paper determined the key factors affecting the demand of vegetable commodities. A model of vegetable commodity income maximization was established by using linear programming, and specific schemes of different replenishment and pricing levels were given. Based on historical sales data and wholesale price data, the daily replenishment volume and pricing strategy of each category and item in the coming week are provided. According to the actual situation, the limit of sales space and the upper limit of production capacity are determined.
Analysis of the Level of Satisfaction of E-Learning Users at PGRI Madiun University Using the Pieces Method.
Authors: Nugrahanti Fatim , Novietasari Eka Resty , Fatihah Kahfi Amani
Published: February 2025

The development of technology is a way to quickly disseminate information to users and can help solve problems faced by an institution. The level of user satisfaction with the Universitas PGRI Madiun e-learning system uses the PIECES method (Performance, Information, Economy, Control, Efficiency, and Service). This method was chosen because it is able to identify various aspects of system performance that affect user experience. This study was conducted by collecting data through questionnaires distributed to system users, namely students and lecturers using the Googleform platform. The results of the analysis showed that the Performance and Service aspects obtained the highest satisfaction scores, which indicated that the system was running stably and providing good service to users. However, the Control and Efficiency aspects require improvement, especially regarding ease of access and management of security features. These findings are expected to be input for e-learning system managers to improve the quality of service and overall user experienceThe development of technology is a way to quickly disseminate information to users and can help solve problems faced by an institution. The level of user satisfaction with the Universitas PGRI Madiun e-learning system uses the PIECES method (Performance, Information, Economy, Control, Efficiency, and Service). This method was chosen because it is able to identify various aspects of system performance that affect user experience. This study was conducted by collecting data through questionnaires distributed to system users, namely students and lecturers using the Googleform platform. The results of the analysis showed that the Performance and Service aspects obtained the highest satisfaction scores, which indicated that the system was running stably and providing good service to users. However, the Control and Efficiency aspects require improvement, especially regarding ease of access and management of security features. These findings are expected to be input for e-learning system managers to improve the quality of service and overall user experience. 
Keywords
E-Learning, User Satisfaction, PGRI Madiun University, Pieces Method.
Jelajah Sultra: Inovation Of UI/UX Design for Smart Tourism App with AI-Based Travel Assistant to Support SDG 8
Authors: Rahmat Saputra La Ode Alvin , Saputra Rizal Adi , Ramadhan Muh. Akbar Perdana
Published: February 2025

The Jelajah Sultra application is a conceptual digital innovation designed to promote sustainable tourism in Southeast Sulawesi by incorporating an AI-powered smart travel assistant and optimal UI/UX design principles. This initiative addresses the growing demand for user-friendly and efficient digital platforms in the tourism sector, particularly in response to increasing tourist numbers in Indonesia. The primary aim of this study is to develop a UI/UX design concept for a tourism application that supports sustainable tourism practices, enhances local economic growth, and empowers communities by improving market accessibility. Utilizing the Design Thinking method, this research involves the stages of empathizing, defining user needs, ideating, prototyping, and testing to create a user-centric design for Jelajah Sultra. The design incorporates features such as AI-powered chatbot assistance, interactive maps, and streamlined navigation to ensure a superior user experience. The usability testing resulted in a high usability score of 94.0, indicating the potential of Jelajah Sultra to facilitate seamless information delivery and effective interaction for users. This research contributes to SDG 8 by fostering local economic growth and supporting responsible tourism practices.
Implementation of IoT Technology for Optimization Shrimp Feeding in SMKN2 Kalianda Shrimp Ponds
Authors: Febriyansyah Akhmad Febriyo , Styawati Styawati
Published: February 2025

Shrimp farming in Indonesia, particularly at SMKN 2 Kalianda, faces inefficiencies in manual feeding methods, leading to wasted feed and suboptimal shrimp growth. This research proposes an IoT-based automatic shrimp feeding system designed to address these issues by automating the feeding process and integrating real-time water temperature monitoring. The system utilizes the NodeMCU ESP8266 microcontroller, servo motors for feed distribution, and a DS18B20 sensor for monitoring water temperature. Data is communicated via HTTP to a web application, providing real-time monitoring capabilities. The system was successfully tested at SMKN 2 Kalianda's shrimp pond, demonstrating efficient feed distribution, with distances of up to 1.5 meters. It also ensured timely and accurate feeding, reduced labor costs, and minimized feed wastage. Additionally, the system can be further enhanced by integrating data analytics and machine learning to optimize feeding schedules and water quality management. These advancements promise to improve shrimp farming efficiency, reduce human error, and contribute to sustainable aquaculture practices.
Iot-Based Iot-Based Smart Controller (Sponcer) To Optimize Freshwater Fish Production In Pagelaran, Pringsewu, Lampung
Authors: Anggita Rizki Devi , Styawati Styawati
Published: February 2025

An Internet of Things (IoT) based control system for optimal fish production in Pagelaran, Pringsewu, Lampung is a modern fish farming solution that uses IoT technology to automatically monitor and assess various fish environmental parameters. The system is equipped with various sensors that can measure critical parameters such as water level, pH, turbidity, and water temperature. This data is sent in real-time to a web-based application, allowing users to continuously monitor conditions remotely through devices connected to the internet. This helps maintain ideal fish environmental conditions for growth, reduces the risk of disease, and increases productivity. One of the striking features of this system is its automatic feed regulation capacity. With this system, feed is provided timely and accurately according to the needs of the fish, which is very important to ensure optimal growth. The purpose of developing an IoT-based system in Pagelaran, Pringsewu, Lampung is to increase productivity and fish production in the area. It is expected that with more careful monitoring and wiser feed handling, fish production can be increased in terms of both quantity and quality. In short, IoT-based system controllers not only improve operational efficiency but also reduce environmental damage. Farmers can reduce excessive resource use and lower operational costs by minimizing manual intervention and using technology for smarter pond management. It is expected that this system will become a model for more modern, efficient, and environmentally friendly fish farming practices, not only in Pagelaran, Pringsewu, Lampung but also in other areas.
Hospital Management Information System in Increasing Efficiency
Authors: Andwika Ida Bujangga , Yundari Eli , Florenza Yolla
Published: February 2025

Healthcare services are the main topic because of the high complexity challenges in the health sector. The purpose of this study is to determine the implementation of Hospital Information System (HIS) in increasing the efficency of healthcare services. The research design used in this article is a literature review method related to Hospital Information Systems in supporting the efficiency of hospital services using databases. In this study, the researcher collected literature review data with a thematic structure based on the concept of thinking using the keywords "hospital information system", "information system efficiency", and "healthcare efficiency" which were compiled to answer scientific questions by grouping and discussing literature sources accordingly to the theme or topic. The results showed that Hospital Information System can minimize the complexity of healthcare services by increasing organizational efficiency through innovation in developing information system based on business process management, service automation, reducing costs, improving hospital performance, which aims to develop human resources, organizational development, and technological quality improvement to achieve efficency in healthcare services.
SOA-Based IT Infrastructure Planning Strategy to Optimize Network Management in Companies
Authors: Putri Nanda Aulia , Umami Nila Niswatun , Sulistiani Heni , Amelia Siska
Published: February 2025

This research aims to develop a Service Oriented Architecture (SOA)-based information technology (IT) infrastructure planning strategy to optimize network management in the company. In the increasingly complex digital context, companies require flexible and integrated IT infrastructure to enhance operational efficiency. The methodology used includes stakeholder needs analysis and mapping of network management functions based on the FCAPS reference. (Fault, Configuration, Accounting, Performance, Security). Through interviews and observations of the current infrastructure conditions, this research found that the implementation of SOA can enhance interoperability between applications and simplify the management of IT resources. The resulting design includes logical and physical topologies aimed at improving the reliability and security of the network management system. It is expected that the implementation of this strategy will enhance service performance and provide added value to the company in facing dynamic business challenges.
Smart sports immersive martial arts teaching mode analysis
Authors: Zhou Guilin , Xie Zhenyu
Published: February 2025

This paper aims to deeply explore the immersive martial arts teaching mode under the background of intelligent sports. By analyzing the connotation and characteristics of the immersive martial arts teaching mode, its construction elements under the support of intelligent sports technology, including the application of virtual reality (VR), augmented reality (AR), intelligent equipment and other scientific and technological equipment in teaching. Study the influence of this mode on students' learning effect, interest cultivation and wushu inheritance, and put forward corresponding countermeasures for the possible problems in the implementation process, so as to explore a new teaching mode for the innovation and development of martial arts teaching in the new era.
Improving Network Security: Protection Strategies in the Digital Age
Authors: Andre Muhammad Fabio , Alfarizi Ferdian , Falssava Jossa Neka , Sulistiani Heni
Published: February 2025

Network security is an important factor in protecting data in the digital era. Threats such as DDoS attacks and malware can damage information systems. This article discusses network protection strategies, including the use of firewalls, encryption, VPNs, and Zero Trust Security. In addition, the implementation of multi-factor authentication and user awareness are also identified as crucial mitigation measures. By utilizing technologies such as artificial intelligence, threat detection can be done more efficiently. This research aims to provide practical solutions to improve network security and reduce the risk of cyber attacks.
Mengoptimalkan Bisnis dengan IoT: Solusi Cerdas untuk Masa Depan
Authors: Anwar Rian , Sulistiani Heni
Published: February 2025

internet of Things (IoT) telah menjadi teknologi yang sangat relevan dalam mengoptimalkan bisnis di berbagai sektor. Penelitian ini bertujuan untuk mengeksplorasi bagaimana IoT dapat meningkatkan efisiensi operasional, mengurangi biaya, serta memberikan wawasan lebih dalam untuk pengambilan keputusan berbasis data dalam bisnis. Melalui survei dan wawancara dengan para profesional di industri yang telah mengadopsi IoT, penelitian ini menemukan bahwa penggunaan IoT di berbagai bidang seperti manufaktur, logistik, dan ritel memberikan manfaat yang signifikan dalam meningkatkan produktivitas, pengelolaan sumber daya, dan pengalaman pelanggan. Namun, tantangan utama yang dihadapi adalah masalah keamanan data dan integrasi dengan sistem yang ada. Penelitian ini menyimpulkan bahwa meskipun tantangan tersebut ada, potensi besar IoT dalam mengoptimalkan bisnis memberikan keunggulan kompetitif yang signifikan bagi perusahaan yang dapat mengelolanya dengan baik.
Practical Exploration of College Students' Career Planning in the Perspective of Artificial Intelligence - Analysis Based on the GROW
Authors: Zhao Lizhu , Liu Yue
Published: February 2025

With the rapid advancement of artificial intelligence technology, college students are facing unprecedented opportunities and challenges in career planning. This paper aims to explore how college students can effectively plan their careers in the context of the artificial intelligence era, and conducts practical exploration based on the GROW model. The GROW model is a widely used framework in coaching and consulting fields for setting goals and solving problems, which covers four key stages: goal (Goal), reality (Reality), options (Options), and will (Will). The article analyzes the impact of artificial intelligence on the job market and discusses how college students should use artificial intelligence for career assessment, how to accurately understand the current situation of themselves and the career environment, how to master the application of artificial intelligence in personalized career planning, and how to combine artificial intelligence for education and training related to job seeking. The research results show that the GROW model can assist college students in organizing their career planning in the artificial intelligence era, thereby enhancing their employment competitiveness and career adaptability. In addition, the theoretical guidance and practical paths of career planning in the artificial intelligence era have significant practical significance and application value for college students.
The Innovative Path of AI Technology Empowering Marketing Strategy in Unmanned Supermarkets
Authors: Tang Na , Li Yiding , Liang Yuting , He Qiqi , Jiang Wenxin
Published: February 2025

This research , whose research objects are users’ experiences, is a quantitative research t through methods such as literature method, questionnaire survey, and data analysis. The results show that the impact of unmanned supermarket technology on shopping experience, the evaluation of unmanned supermarket service and safety, and the correlation between technical difficulties and shopping frequency are the most important factors affecting user experience. Among them, the diversity of checkout technology and service response speed contribute the most. These analysis results provide important theoretical support and reference for unmanned supermarkets to optimize user experience in the future. At the same time, they are of great significance for optimizing the operation mode of new retail and meeting users' diverse consumption needs. Furthermore, they offer practical insights for enhancing the integration of AI technology to improve service efficiency, operational processes, and customer satisfaction, further supporting the sustainable growth and competitiveness of unmanned supermarkets in the evolving retail landscape.
Research on the Asset Liability Management Mechanism of Commercial Banks Taking Silicon Valley Bank as an Example
Authors: Jian Yangyang , Liang Keke , Sun Yifei , Zhang Fan
Published: February 2025

Since 2023, the bank bankruptcy incidents in the United States, represented by Silicon Valley Bank, have continued to ferment, causing bank runs and capital market turmoil, and spreading panic in the financial market. This article takes Silicon Valley Bank as an example to review the beginning and end of the bankruptcy event caused by the liquidity crisis, and analyzes the reasons for its bankruptcy from internal factors such as bank asset liability maturity mismatch, weakened capital adequacy ratio, and lack of risk management measures, as well as external environmental factors such as the Federal Reserve's aggressive interest rate hike and the cold winter of Silicon Valley technology industry, On this basis, suggestions are proposed for optimizing asset liability structure management and strengthening risk warning and regulatory mechanisms in China's banking industry risk management. Based on the strategic orientation of promoting high-quality development of the financial industry in China, this article provides industry insights from the analysis of the bankruptcy events of Silicon Valley banks, which has certain practical value for strengthening risk management and supervision of banking institutions in China.
An Exploration of AI-Assisted Tools in the Education of Children with Autism from the Perspective of Inclusive Education
Authors: Yan Yili , Liu Yue
Published: February 2025

With the rapid development of Artificial Intelligence (AI) technology and its widespread use in education, it is becoming increasingly feasible to build more personalized and supportive learning environments for children with autism. The aim of this paper is to explore how AI-assisted tools can promote inclusive education, with a particular focus on the specific group of children with autism. Through keyword searches of relevant papers in mainstream conferences and journals, as well as a comprehensive analysis of existing literature and case studies, we have conducted a systematic review of AI as an aid to promote inclusive education, aiming to provide valuable references for subsequent research. Studies have shown that when AI technology is appropriately applied, it can significantly enhance the social interaction skills, emotional regulation, and academic performance of children with autism. However, it is important to note that most of the current research findings focus on work published within the last few years, and thus may not fully cover relevant contributions from earlier periods. In summary, by examining the current situation of AI applied to the education of children with autism in China, we can see that AI as an assistive tool shows great potential for development and plays a crucial role in realizing inclusive education in the true sense of the word. This not only promotes educational equity, but also provides more opportunities for each child to grow.
Leveraging Data Science and AI-Based Analytics to Enhance Immersive Learning Experiences in Education
Authors: Dewi Nandita , Maulindar Joni
Published: February 2025

Technology-based learning faces challenges in effectively increasing student engagement, motivation, and understanding in the context of continuing education. This study aims to explore the role of data science and AI-based analytics in supporting immersive learning experiences to improve learning outcomes. The research method used is descriptive and correlational statistical analysis of data from 50 students with various metrics, such as engagement scores, motivation, understanding, retention, AI feedback accuracy, VR content quality, learning duration, device compatibility, and network stability. The results showed that the average student engagement score was 77.45, motivation 78.57, and understanding 81.16, with each showing a significant positive relationship to learning retention (average 61.11). AI feedback accuracy had an average score of 84.66, indicating the significant contribution of AI technology in improving student understanding. VR content quality had an average score of 89.76, indicating that well-designed content can improve students' learning experiences. The average learning duration was 84.26 minutes, with a moderate correlation to understanding (r = 0.72). However, technical challenges were found, such as a weak negative correlation between learning duration and network stability, indicating that connectivity issues may affect the learning process. The regression results showed that the model was only able to explain 17.86% of the variance in the dependent variable, so additional variables are needed for a more comprehensive understanding. This study concludes that the integration of AI and VR in education has great potential to improve learning experiences and outcomes, although there are still technical obstacles that need to be overcome to maximize its impact.
QuranVision
Authors: Zamzuri Hariz , Mat Din Mazura , Ali Noor Rasidah
Published: February 2025

Tajweed is a set of rules, which is required for every Muslim to learn in order to recite the holy Quran. These rules are needed to guide Quran’s reciters from making any errors, such as mispronouncing words which are strictly prohibited when reciting Quran. The conventional learning process on Tajweed rules, which comes in the form of face-to-face learning between instructor and the students, although considered the most effective way to learn Quran, may be tedious and time consuming due to the need for prolonged session of direct contact for learning. On that note, a mobile application which can detect and recognize the feature of Tajweed rules via image processing in al-Quran using a deep learning technology is proposed. Convolutional Neural Network or CNN is the commonly used technology when it comes to object detection and image classification. Model based on CNN architectures will be utilized in developing a real-time detection and recognition mobile application, focusing on Meem Sakinah-based Tajweed rules which include Idgham, Ikhfa’ and Izhar Shafawee. The key benefits of this application is in its ability to detect Tajweed rules in a real-time scenario and works in both black and white and color-coded Quran. This application provides an alternative way for new Quran’s learners from varying backgrounds and age to learn about Tajweed rules on their own time through visual and audio learning as well as detailed descriptions of the Tajweed rules which can aid in understanding the material more effectively.