bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of a Smartphone Application for Controlling the Device to Improve the Psycho-emotional State of a Person and Research the Effectiveness of the Developed Device
Authors:   Central Ukrainian National Technical University, Shchiepin Valerii , Trushakov Dmitro ,   Central Ukrainian National Technical University, Sysolina Nataliia ,   Central Ukrainian National Technical University, Fedotova Marianna ,   Central Ukrainian National Technical University, Kozlovskyi Oleksandr ,   Central Ukrainian National Technical University, Teliuta Ruslan ,   Central Ukrainian National Technical University
Published: February 2025

The article is devoted to the results of the development of a smartphone application for controlling the developed electronic device emitting multi-colored light effects to improve the psycho-emotional state of a person.
There are two main approaches to restoring a person's psycho-emotional state: drug therapy and physical therapy. Drug therapy is the main treatment, but it has a number of side effects. However, there is a certain number of people who do not want to take medicines. With the development of physiotherapy methods, it has become possible to reproduce physical factors with the help of various medical devices with hardware used for therapeutic purposes.
Scientists managed to find out that each shade of color causes different activation of the human brain. It is also known how colors affect the psychophysiological state of a person.
As a result of the analysis of existing devices, we proposed and manufactured a working model of an electronic device that emits multi-colored light effects and also measures the main parameters of the environment - temperature, humidity and atmospheric pressure. This device is also able to control the microclimate change devices in the middle of the room - air conditioner and air humidifier - based on the data of measurements of the temperature and humidity of the environment in the room. Also developed own smartphone application for remote control of the device to improve the psycho-emotional state of a person. A study of the effectiveness of the developed device was conducted.
The general block diagram of the device is given. It offers its own simple and convenient application for a smartphone, so that it is convenient to remotely control the device. The design of windows for controlling the parameters of the connected device via bluetooth is given. The library components of the proposed smartphone application for remote control of the device are given.
A study of the economic efficiency of the developed device was carried out. We determine the profit for the year for the manufacturer; the cost of a medical service when using a device for treatment. The price of the medical service of using the device with a profitability of 20% and 10% was determined. In addition, the number of patients that can be served by 1 device during 2 years is calculated. The absolute effectiveness of the introduction of the device in medical institutions is given.
Interaction between Government Bodies and Business Structures in the Republic of Kazakhstan
Authors:   L.N. Gumilyov Eurasian National University, Baimbetova А. , Yessenali А. ,   International Kazakh-Turkish University named after Khoja Ahmed Yasawi, Kulbayeva А. ,   International University of Tourism and Hospitality
Published: February 2025

The article examines the assessment of the interaction of regional government bodies and business structures in the Republic of Kazakhstan according to the criteria for the development of public-private partnerships. The purpose of the study is to develop theoretical and practical ideas
about the meaning and content of the mechanism of interaction between business structures and the state. Methods of inductive analysis of legal and everyday institutions were used along with institutional, praxeological, historical and comparative methods in the study of existing methods and practices of introducing civilized principles of managing a mixed economy. Based on a study of the composition and features of the structural components of the partnership development strategy, components of the mechanism for implementing the strategy for the development of the state and entrepreneurship, joint entrepreneurship and the relationship of the results of the implementation of the mechanism for entrepreneurship development, criteria for assessing the work of local governments were determined.
In addition, a matrix of interaction between business and government at the regional level was compiled, models of interaction between government bodies and business structures, as well as an algorithm for interaction between government and business structures were studied. The study includes a quantitative and qualitative analysis of official statistics with a detailed description of the number and nature of corruption incidents, as well as the scale of informal operations. These analyses formed the basis for the definition of shadow schemes
Optimizing Business Processes with AI, BPMN 2.0, and Workflow Management Systems
Authors:   SAP Siemens AG, Rakaeva A. , Rakaeva A. ,   L.N. Gumilyov Eurasian National University
Published: February 2025

This research discusses the integration of artificial intelligence (AI), workflow management systems (WMS) and business process models and notes (BPMN) to improve the efficiency of modern business processes. Advanced technologies can significantly increase productivity, reduce costs and improve decision-making. The data analysis and automation capabilities of artificial intelligence enable companies to solve problems faster, optimize resource allocation and make better decisions. In combination with WMS, AI optimizes processes, automates workflows and increases operational efficiency.

BPMN 2.0 is a clear, standardized method for visualizing and modeling business processes that helps improve communication and consistency between teams. This structured approach enables companies to effectively document, analyze and improve their workflows.

Research shows the challenges companies face by using technologies, that also includes data quality issues, resistance to change and the need for a skilled workforce. Analyzing article, the authors consider the potential of quantum computing and developments in artificial intelligence algorithms and emphasize the importance of continuous innovation and adaptation for companies to remain competitive in an ever-evolving technology landscape.
Features of managing oil projects in the USA, China, Iraq, Kazakhstan and their impact on the economies of the countries
Authors:   Al-Farabi Kazakh National University, Han N. , Adambekova А. ,   Al-Farabi Kazakh National University
Published: February 2025

This article analyzes the features of oil projects in oil exporting and oil importing countries and their impact on the economy. The article reflects the current state of oil projects and identifies the main problems in the development of oil project management. The practical significance of the article lies in establishing the factors and conditions that determine the project approach to managing oil projects. The theoretical significance of this study lies in identifying the factors that determine the export- or import-oriented nature of national economies. The uniqueness of the study is determined by the
methodological approach used to take into account macroeconomic factors in constructing a project approach to the management of oil projects in countries such as the USA, China, Iraq and Kazakhstan. The methodological basis of the study was the methods of content analysis, historical-chronological, statistical
and comparative methods. The information base was the annual reports of oil companies, the results of oil market reviews by analytical agencies and OPEC metadata. The results of the study are presented in the form of recommendations for project managers, executives of oil companies and researchers studying project management issues
The impact of the financing mechanism of financial development institutions on the entrepreneurship in Kazakhstan
Authors:   L.N. Gumilyov Eurasian National University, Aubakirova M. , Makysh S. ,   Esil University
Published: February 2025

The article examines the financial institution of development, which directly affects the prosperity of entrepreneurship in Kazakhstan. Based on our research, an analysis of the development of entrepreneurial activity in Kazakhstan is provided, funded by a financial development institute of this level. During the research, the impact of this national institution on stimulating the medium and small businesses’ development was assessed, financial support’s key mechanisms and tools provided
to entrepreneurs were also considered. The results obtained may well be used to prepare proposals for improving financial support for entrepreneurship. The research is based on real statistical data. The authors conducted a comprehensive analysis of the structure and quality of funds of financial development institutions in the Republic of Kazakhstan allocated to small and medium-sized enterprises. The most important aspect of the study is the analysis of the use of funds’ effectiveness in economy’s favor. Based on the analysis, the article shows the effective use of financial resources to strengthen entrepreneurial positions in the state and improve financial mechanisms. This leads to a decrease in social and economic differences in the country, and sustainable economic growth.
Addressing Regional Disparities and Enhancing Efficiency in Kazakhstan’s Budget System
Authors:   L. N. Gumilyov Eurasian National University, Turmakhanbetova G. , Tulaganov A. ,   L. N. Gumilyov Eurasian National University, Butkenova A. ,   K.Kulazhanov Kazakh University of Technology and Business
Published: February 2025

Kazakhstan’s financial system is instrumental in advancing the nation’s economic development, yet ongoing structural and policy-related obstacles continue to impede its overall efficiency. This study investigates the key elements of Kazakhstan’s financial mechanisms—namely state budget
allocations, inter-budgetary relations, tax policies, and transfer mechanisms— to propose targeted strategies for improving their functionality. The findings indicate a distinct trend toward performance-oriented budgeting, marked
by increasing investment in social services and infrastructure. However, the comparatively limited support for economic diversification raises concerns about the country’s long-term resilience. In addition, pronounced regional disparities underscore the necessity of allocating resources more equitably to foster balanced socio-economic development. While tax incentives aimed at
supporting small and medium-sized enterprises have yielded some positive outcomes, the tax base remains disproportionately dependent on the oil and gas
sector, leaving Kazakhstan susceptible to external market fluctuations. Transfer mechanisms have contributed to reducing poverty rates, yet their effectiveness is undermined by shortcomings in targeting and sustainability. Comparative analyses of neighboring countries point to significant opportunities for adopting
best practices in areas such as budget transparency, SME promotion, and financial market reform. The study concludes by recommending that Kazakhstan reprioritize its budget to emphasize economic diversification, address regional funding inequities, broaden its tax base, and enhance social transfer efficiency. Taken together, these measures can strengthen the nation’s financial system, mitigate external risks, and support Kazakhstan’s objectives for sustainable growth and economic diversification.
Digitalization and technological trends in marketing: prospects for Kazakhstan
Authors:   Al-Farabi Kazakh National University, Tazhiyeva Zh. , Baimukhanbetova E. ,   Al-Farabi Kazakh National University, Kozhakhmetova А. ,   Kazakh-British Technical University
Published: February 2025

The article examines the impact of digitalization and technological innovations on marketing strategies in Kazakhstan. Key trends are considered, including the use of big data, artificial intelligence, social media and personalization, as well as their importance for predicting consumer behavior and business competitiveness. The main focus is on the development of information and communication technologies, the growth of Internet usage and the integration of digital tools into business processes. The article analyzes the problems of introducing marketing innovations in Kazakhstan and suggests ways to solve them, such as government support, staff training, the development of an innovation ecosystem and partnership with international experts. It also examines the impact of external factors, including changes in consumer preferences and business social responsibility. Based on data on the growth of Internet usage and the volume of ICT services, a forecast has been made for the coming years, indicating positive dynamics. The authors conclude that flexible strategies for adapting and implementing technologies are necessary to increase the competitiveness of companies. The work highlights the importance of employee training and the formation of sustainable business practices in the context of globalization and technological progress.
Leveraging AI for Enhanced Security: A Technical Perspective
Authors: Deepak Bhaskaran
Published: February 2025

This article explores the transformative impact of artificial intelligence on modern cybersecurity operations. The article examines how AI-driven systems have revolutionized threat detection, anomaly identification, and incident response capabilities while significantly improving operational efficiency in security operations centers. The article investigates advanced applications of quantum-enhanced pattern recognition, regulatory compliance automation, and automated incident response systems. Through detailed analysis of enterprise implementations, this article demonstrates how AI integration has enhanced security posture while reducing operational overhead. This article also addresses critical implementation considerations, including infrastructure requirements, data quality demands, and ethical implications of automated security decisions. This article provides insights into the practical challenges and strategic benefits of implementing AI-driven security solutions in enterprise environments.
Quantum Computing and Cybersecurity: Navigating the Next Frontier of Digital Security
Authors: Bhooshan Ravikumar Gadkari
Published: February 2025

This article explores the profound impact of quantum computing on cybersecurity, highlighting the potential threats to current cryptographic systems and the emerging solutions in the field of quantum-safe security. It begins by explaining the fundamental principles of quantum computing, contrasting them with classical computing, and detailing how quantum algorithms like Shor's and Grover's pose significant risks to widely used encryption methods such as RSA and AES. The article then delves into the development of post-quantum cryptography, discussing various approaches including lattice-based, code-based, and multivariate polynomial cryptography, with a focus on the NIST standardization initiative. Additionally, it examines quantum cryptography techniques, particularly Quantum Key Distribution (QKD), as alternative methods for secure communication. The article concludes by addressing the challenges organizations face in transitioning to quantum-safe security, including expertise gaps, resource limitations, and financial implications. It emphasizes the urgency of preparing for the quantum era while acknowledging the complexities involved in implementing quantum-resistant measures across global networks. This comprehensive overview provides insights into the evolving landscape of cybersecurity in the face of advancing quantum technologies and underscores the critical need for proactive strategies to safeguard digital infrastructure in the coming quantum age.
Empowering Sustainable Software Engineering Education with Artificial Intelligence and Immersive Technology
Authors: Saputra Dafid , Tsaqif Farhan Fadlurohman , Ariana Aurora Luna
Published: February 2025

This research investigates the impact of integrating artificial intelligence (AI) and immersive technologies, such as virtual reality (VR) and augmented reality (AR), in software engineering education to promote continuous and adaptive learning. The purpose of this study was to explore how these technologies increase student engagement, personalize the learning experience, and enhance practical skills essential in software development. A mixed methods approach was used, combining a quantitative survey with qualitative interviews of 20 students and 5 educators actively engaged in AI and VR powered courses. Findings revealed that AI-based adaptive learning systems encourage personalized feedback and help address individual knowledge gaps, leading to increased engagement and retention. VR based simulations enable hands-on learning, which significantly improves skill acquisition in coding, debugging, and system analysis. Despite these benefits, challenges such as high costs, data privacy concerns, and limited infrastructure remain a barrier to widespread implementation. This study contributes original insights by identifying strategies to mitigate these challenges, including gradual adoption of technology, cloud-based solutions to reduce costs, prioritizing data security, and continuous educator training. The findings underscore the transformative potential of AI and immersive technologies in creating sustainable, accessible and adaptive learning environments and equipping students with the skills needed for the innovation driven software industry.
Generalization of Data Science in Financial Management
Authors: Wu Yuxia , Zhang Hao
Published: February 2025

With the rapid development of information technology, data science has been increasingly applied in various fields, and financial management is no exception. As a comprehensive discipline, data science brings new opportunities and challenges to financial management through its powerful data processing and analyzing capabilities. The purpose of this paper is to explore the ubiquity of data science in financial management, and to analyze its impact on financial management and future development trends.
Advancements in Text-to-Image Diffusion Models for Personalized Image Generation: A Review of ID-Preserving Techniques of InstantID
Authors: Kurniawan Ardhiansyah
Published: February 2025

The evolution of text-to-image diffusion models, such as GLIDE, DALL-E 2, and Stable Diffusion, has significantly enhanced image generation capabilities. However, achieving image personalization with precise facial detail retention, minimal reference images, and reduced computational costs remains challenging. Traditional methods like DreamBooth and Textual Inversion rely on extensive fine-tuning, while techniques like IP-Adapter, which avoid fine-tuning, often compromise accuracy. Addressing these gaps, InstantID introduces a novel plug-and-play module that uses a single reference image to enable efficient identity preservation with high fidelity and flexibility. 
 
InstantID departs from conventional approaches by employing ID Embedding and an Image Adapter to enhance semantic richness and facial detail fidelity. Unlike models relying on CLIP-based visual prompts, InstantID integrates ID Embedding with ControlNet to refine the cross-attention process. This involves using simplified facial keypoints for conditional input and replacing text prompts with ID Embedding. Trained on a large-scale dataset comprising LAION-Face and additional high-quality annotated images, InstantID demonstrates superior ID retention and facial detail restoration. Notably, its performance improves with multiple reference images but remains highly effective with just one. 
 
The results highlight the effectiveness of InstantID's modular components, such as IdentityNet and the Image Adapter, in ensuring exceptional generation quality and detail retention. Although currently optimized for SDXL checkpoints, InstantID offers a scalable and efficient solution for personalized image generation. By integrating with tools like ComfyUI, it provides a seamless and accessible approach to image personalization with strong ID control and adaptability.
The Effectiveness of Snort in DDoS Attack Scenarios
Authors: Izzatillah Tartila Izzatillah , Fania Fania , Zulfata Zulfata
Published: February 2025

Secure communication in the digital era has become important, while on the other side, the attackers are consistently moving into more sophisticated ways to acquisition their target. DDoS was one of the common techniques used with the aim to overwhelm and make their target fail to function. To detect and limit this threat, many organizations have begun to employ various solutions. However, it was discovered that several solutions are ineffective while others require high cost for the implementation, and this has become a challenge for medium to low-sized organizations to meet their business strategy. For that, in this study we aim to introduce Snort as an open-source solution for the network detection and prevention system to determine how it undertakes and performs analysis especially in terms of accuracy and speed in relation to DDoS attacks. This study will involve a few steps: first, to establish the simulation environment; secondly, to perform the simulation with a DDoS attack to allow Snort to capture the traffic and respond according to the pre-established rules; and finally, to measure and evaluate the result. Snort as an open-source product, in nature allows the public to contribute, and that becomes the advantage compared with other commercial products especially in detecting anomalies. This will help the administrators to react more quickly by having an accurate information with an earlier warning system. Additionally, Snort is affordable, making it good choice for the organization.
Mapping and Prediction Analysis of Rice Fertilizer Use in Paron District, Ngawi Regency using K-Means and Fuzzy Sugeno Methods
Authors: Saifulloh Saifulloh , Yunitasari Yessi , Welasih Rusti Dewi
Published: February 2025

Clustering and prediction methods are effective tools in overcoming this problem. In this research, the K-Means method was used to map fertilizer needs based on regional characteristics, such as soil type, planting patterns and land productivity levels. This method is able to group regions that have similar characteristics, making it easier to determine optimal fertilizer allocation. Next, the Fuzzy Sugeno method is applied to predict fertilizer needs in the next planting season based on historical data and the results of the grouping that has been carried out. By combining these two methods, it is hoped that the results of this research can provide accurate recommendations for the effective and efficient use of fertilizer. Mapping and predictive analysis on the use of rice fertilizers in Paron District, Ngawi Regency in 12 villages were carried out by referring to the K-Means and Fuzzy Sugeno methods. Mapping with the K-Means Method is done by determining the centroid and clustering, while the prediction mapping using the Fuzzy Sugeno Method is done by determining the variables and fuzzy sets as well as the condition calculation rules. The results obtained are that 2 villages are in the category of low fertilizer use, 3 villages are in the category of medium fertilizer use and 7 villages are in the category of high fertilizer use. Based on the prediction calculation using the Fuzzy Sugeno Method, it was found that the level of error in the comparison of data was 5.36%, meaning that from 100% of the error rate difference, the truth value in calculating the prediction of the use of urea fertilizer using the fuzzy Sugeno method was 94.64%.
Advamcement of Technology and ITS Impact on Modern Society
Authors: Maheswari Diva Afirlia , Syakuru Nazwa , Rahmadany Loisha Adellia , Sulistiani Heni
Published: February 2025

This study explores the rapid advancements in technology and their impact on modern society, focusing on sectors such as communication, healthcare, education, transportation, and entertainment. It examines the positive contributions of technological innovations while addressing challenges like cybersecurity threats, privacy concerns, and automation. The research employs qualitative analysis, integrating data from various academic sources. The findings reveal that technological advancements significantly improve efficiency and accessibility, but ethical considerations are crucial for sustainable progress.
The Sustainable Innovation Impact of AI and Immersive Technology in Information System Management on Education Development
Authors: Hao Long , Hao Zhang
Published: February 2025

Abstract This paper describes the development of artificial intelligence and immersive technology in the field of education. The background of the research was introduced, including the analysis of its application in education from relevant international and domestic research. There are also application status, such as the data processing advantages of AI in education and the role of the squirrel Ai large model, as well as the pilot application of immersive technology in some fields and the improvement of the management of educational information systems. Then, the data generated by the integration of the two in the educational information system and the use of analysis are explained. It also highlights the sustainable innovations that this integration brings, such as optimizing resource allocation, improving educational effectiveness, reducing costs, and promoting educational equity. At the same time, it pointed out the challenges faced by technology convergence and proposed countermeasures to address these challenges.
ERP Effectiveness in Improving Production Efficiency
Authors: Alfikri Valbian , Anwar Adi Khairul , Prananta Gery , Sulistiani Heni
Published: February 2025

This research specifically investigates how the implementation of ERP systems impacts the operational performance of manufacturing companies. By analyzing the literature and conducting case studies, this research uncovers potential efficiency improvements in various aspects, including reduced production time, optimized use of resources, and improved data quality. The results of this study are expected to provide valuable recommendations for manufacturing companies in implementing ERP effectively and achieving competitive advantage.
Application Practice and Innovative Exploration of AIED Technology in the Education of Rural Left-behind Children
Authors: Yi Xiya , Liu Yue
Published: February 2025

This study focuses on the application practice and innovative exploration of Artificial Intelligence in Education (AIED) in promoting the education of rural left-behind children. By comprehensively utilizing methods such as literature review and field case analysis, and through in-depth mining and visual presentation of core literature in the field of AIED over the past five years, the study aims to reveal its positive roles in balanced allocation of educational resources, improvement of teaching quality, and innovation of learning modes. The research findings indicate that AIED technology effectively alleviates the shortage of educational resources faced by rural left-behind children, and significantly narrows the urban-rural education gap, by integrating high-quality educational resources from across the country and even globally, building personalized learning platforms, and implementing a dual-teacher teaching mode of "online master teacher + offline tutoring". In terms of enhancing learning outcomes, AIED technology not only improves students' academic performance but also strengthens the mental health of left-behind children through intelligent mental health monitoring and intervention.
Infographic Posters at Sumber Gentong Natural Tourism as an Information Medium
Authors: Hezron Michael Patrick , Wardani Lely Surya
Published: February 2025

Infographic posters have significant potential to enhance visitor understanding of the Sumber Gentong tourist destination. This study aims to analyze how infographics can be utilized as an effective visual communication tool to convey information about facilities, regulations, and conservation values at Sumber Gentong. Through engaging and informative visualizations, it is anticipated that infographics can increase Sumber Gentong's brand awareness, attract more visitors, and encourage active participation in environmental conservation.
Exploring the Use of ChatGPT in Academic Assignments: Frequency, Benefits, and Perceptions among University Students
Authors: Rabiev Hasan , Sadidan Ikhwanussafa , Nurhidayah Novi Anthika Suci
Published: February 2025

The immediate advancement of artificial intelligence has introduced tools like ChatGPT, which are transforming academic practices among university students. This study investigates the frequency of ChatGPT usage, its perceived benefits, and students, views on its impact on academic tasks. Using a mixed- methods approach, the research combines quantitative surveys to assess usage patterns and qualitative interviews for deeper insights. The findings indicates that 71.3% of students primarily use ChatGPT for writing assignments or essays, with 53% rating it as very helpful in improving assignment quality. ChatGPT is valued for enhancing productivity clarifying complex concepts, and refining academic writing. However, concerns regarding over-reliance and ethical issues are prevalent. The study emphasizes the need for guidelines to promote responsible use while maintaining academic integrity. These findings provide important implications for educators and policymakers in integrating AI tools effectively into educational settings.
Deep Learning for Meal Recognition and Calorie Estimation
Authors: Ahmad Fariz Ahmad Nabil Bin , Abdul Razak Nor Hafizah , Mat Din Mazura
Published: February 2025

Accurate calorie estimates from foods are prerequisite for diet following and health monitoring. Manual calorie estimations according to age-old methods mostly tend to be inaccurate. This paper proposes the use of convolutional neural networks (CNNs) for precise identification from food images and prediction of meal calories to solve the concern. Therefore, the objective is to create a model capable of recognizing foodstuff besides estimating their caloric content. Developing a model that could correctly identify food ingredients and calculate their energy value through training and testing was important in this project. Our aim here was to verify the accuracy of the model using systematic reviewing means as well as an interface where it can be tested. A dataset of 1,337 high-quality images divided into 12 culinary classes cake, hamburger, noodles, spaghetti, pizza, chicken curry, croissant, French fries, fried chicken, roast chicken, lobster nasi goreng, and waffle was obtained from Roboflow Universe and used for this project. The selection of technique which is YOLO (You Only Look Once) model architecture and flow design because it proved to be highly efficient for real-time object recognition.
Automated Recognition of Medicinal Plants in the Wild: A Leaf-centric Approach
Authors: Ahmad Zaki Muhammad Ammar , Mohd Zukhi Mohd Zhafri , Din Mazura Mat
Published: February 2025

This study explores the use of technology to simplify the identification of medicinal plants in the wild by focusing on leaf characteristics. Using convolutional neural networks (CNNs), the research aims to develop a mobile-friendly system tailored to Malaysia’s rich biodiversity and traditional medicine heritage. Key steps include collecting a diverse range of plant data, enhancing image quality through pre-processing, and testing various CNN models to determine the most effective one. Designed for use by both experts and non-experts, such as rural communities and herbalists, the tool integrates advanced AI with traditional knowledge to preserve cultural practices, promote safe natural remedies, and raise awareness about medicinal plants’ role in healthcare and conservation. By addressing the decline in herbal knowledge, this project aims to deliver a practical and accessible solution that supports public health and environmental sustainability.
BioApp: A Mobile Augmented Reality Application to Enhance Junior High School Students’ Academic Performance in the field of Ecological Relationship in Biology.
Authors: Baldiviano Jordan Gregor A , Delgado Joseph Adriann P , Mora Joshua O
Published: February 2025

This study investigates student difficulties in understanding biology concepts, particularly during the transition from basic topics like sexuality to complex areas such as genetics. Challenges include reduced engagement and participation, leading to lower performance in assessments. To address these issues, researchers propose "BIOAPP," an Augmented Reality (AR)-based solution designed to enhance learning experiences through interactive and immersive methods. The application prioritizes cost-effective implementation and accessibility, even in low-connectivity areas. The study employs a quantitative research methodology with purposive sampling to assess AR's effectiveness in improving biology education. The resulting mobile game integrates AR to create a dynamic and engaging learning environment, functioning as both an instructional tool and a diagnostic system for tracking student comprehension. This innovative approach aims to renew student interest and participation in biology, offering a transformative and accessible educational solution.
Gamifying Human Circulatory System: A Game-Based Learning Application to Enhance Students' Understanding and Retention of Human Body Concepts For Grade 6 Students
Authors: Ambrona Jan Patrick E. , Esleta Moses John D , Parayno Kristian Carlo A
Published: February 2025

This thesis developed a gamified mobile learning application designed to enhance Grade 6 students' understanding of circulatory system concepts namedGamifying Human Circulatory System . Acknowledging the rising significance of games in fostering children's engagement in educational pursuits, this research capitalized on the trend by developing a mobile game that not only captures students' interest but also facilitates the comprehension of complex anatomical concepts. Utilizing a pretest-posttest design with paired t-tests for analysis and survey questionnaires based on the ISO 25010 standards , the study reveals a highly significant positive impact on students' knowledge scores. The Gamifying Human Circulatory System application successfully engaged students, transforming the learning of fundamental circulatory system principles into an enjoyable and effective educational experience. These findings underscored the potential of gamified approaches to create an immersive and entertaining educational environment for Grade 6 students. This study provided valuable insights into science education, emphasizing the practical application of gamification to enhance both engagement and comprehension. Focused on the circulatory system, the study supported the idea that gamified learning tools, particularly in the form of mobile games, can positively influence how young learners interact with scientific concepts. The study's outcome demonstrated that incorporating gamified elements into educational tools holds promise in significantly improving students' understanding, making the learning process both informative and enjoyable in the Grade 6 Science curriculum.
Flash Card Sebagai Alat Permainan Edukatif untuk Pengenalan Moda Transportasi Perkeretaapian Pada Anak Usia Prasekolah
Authors: Apriliani Nurul Fitria , Puspitasari Armyta , Prihatanto Rusman , Aghastya Adya , Leliana Arinda , Leliana Arinda
Published: February 2025

Railway technology is increasingly developing and the railway mode is quite a lot of interest by the public with its various advantages making trains an interesting topic for learning materials. Railway safety also needs to be introduced to the community early on. Therefore, socialization related to railway modes and railway safety was carried out to preschool students, namely PAUD “Kasih Ibu” Madiun city students. In addition to introducing railway transportation, this socialization activity also supports the achievement of Learning Outcomes in PAUD, namely the basics of literacy, mathematics, science, technology, engineering and art. The material was delivered with flashcards containing pictures and words about railroad facilities, railroad infrastructure, crew of railroad facilities and railroad safety signs. The evaluation of the activity showed that the average understanding of the socialization participants of the material presented was 80%.
Optimalisasi Pelayanan Publik Melalui Pelatihan Aplikasi Temanpintar di Disperkim Provinsi Sumatera Selatan
Authors: Halim R.M. Nasrul , Mirza A. Haidar
Published: February 2025

Keterlibatan banyak pihak dalam pengelolaan kegiatan pembangunan gedung negara di Disperkim Sumsel seperti perencana, kontraktor, konsultan pengawas, pengelola teknis dan pembuat kebijakan, menuntut koordinasi yang efektif untuk mengurangi risiko keterlambatan dan kesalahan teknis dalam pelaksanaannya. Aplikasi temanpintar yang dimiliki Disperkim Sumatera Selatan dibangun dan dikembangkan sebagai solusi untuk meningkatkan pengelolaan kegiatan pembangunan gedung negara mulai dari perencanaan, pelaksanaan, hingga pengawasan dan pemeliharaan secara real-time agar pelaksanaan kegiatan berjalan sesuai dengan spesifikasi teknis, anggaran, dan waktu yang telah ditetapkan. Aplikasi ini dibangun untuk mengoptimalkan pelayanan Disperkim Sumsel sehingga perlu adanya pelatihan penggunaan aplikasi tersebut. Pelaksanaan kegiatan pelatihan dalam bentuk ceramah, praktik dan tanya jawab yang terdiri dari tahapan persiapan, pelaksanaan dan evaluasi. Kegiatan ini diikuti kurang lebih 30 perserta yang berasal dari disperkim sumsel dan instansi luar terkait. Hasil kegiatan pelatihan ini berdampak positif bagi peserta kegiatan berdasarkan hasil survei yang dilakukan dimana peserta pelatihan dapat memahami dan mampu menggunakan aplikasi temanpintar secara teori maupun praktik.
Sosialisasi dan Edukasi Pemilahan Sampah pada Program Penanganan Sampah Kota Bandung di SDN 203 Kacapiring
Authors: Suhana Asep , Ramady Givy Devira , Mahardika Andrew Ghea , Fadriani Hetty Fadriani , Hidayat Rahmad , Adinda Nurcaweda Riztria , Anung Anung
Published: February 2025

Setiap aktifitas kehidupan manusia selalu menghasilkan sisa pembuangan berupa sampah. Proses pemilahan sampah yang tidak maksimal oleh masyarakat mengakibatkan volume sampah tercampur yang dibuang ke TPA terus meningkat hingga mengakibatkan over capacity. Sehingga perlu adanya inovasi serta teknologi yang mampu mereduksi jumlah sampah masyarakat sebelum dikirimkan ke TPA. Berdasarkan kondisi tersebut, maka pemerintah kota Bandung bekerja sama dengan LLDIKTI Wilayah IV dan PTS Se-bandung Raya untuk mewujudkan upaya penanganan sampah di Kota Bandung melalui penerapan inovasi teknologi hasil riset perguruan tinggi dalam bentuk kegitan Pengabdian kepada Masyarakat (PkM). Terdapat 2 fokus utama key performance indicator yang harus dipenuhi oleh setiap tim di masing-masing kelurahan yaitu edukasi dan pemilahan sampah. Salah satu bentuk kegiatan Pengabdian kepada Masyarakat (PkM) tim STT Mandala berupa edukasi dan sosialisasi pemilahan sampah di SDN 203 Kacapiring. Target capaian dari pelaksanaan kegiatan ini adalah meningkatnya pengetahuan serta pemahaman masyarakat khususnya pada generasi muda mengenai pentingnya pemilahan dan pengolahan sampah. Hasil evaluasi kegiatan menunjukkan bahwa tingkat pemahaman peserta meningkat menjadi diatas 70% sehingga kegiatan ini dapat dikatakan cukup berhasil.
ОЦІНКА КОНКУРЕНТОСПРОМОЖНОСТІ УКРАЇНСЬКОГО ТЕХНОЛОГІЧНОГО СЕКТОРУ ЕКОНОМІКИ
Authors: Солодкий Володимир
Published: February 2025

Стаття присвячена питанню конкурентоспроможності українських технологічних компаній. Описано останні дослідження, які підтверджують актуальність теми. Проаналізовано конкурентоспроможність економіки України на основі Глобального інноваційного індексу в динаміці та чинники, що впливають на його значення. Окремо розглянуто спеціалізовані індекси для українських технологічних компаній – Світовий рейтинг екосистем стартапів та Рейтинг компаній – аутсорсерів. Визначено структуру та динаміку експорту комп’ютерних послуг та їх роль в забезпеченні валютних надходжень. Підкреслено сприятливу поточну географічну структуру експорту та оцінені інші ринки. Виявлено фактори зростання технологічних компаній та запропоновано заходи для збільшення потенціалу сектору. Виділено основні напрямки збільшення експорту комп’ютерних послуг. Визначено роль ІТ компаній в післявоєнному відновленні економіки. Запропоновано перспективні напрямки подальших досліджень конкурентоспроможності вітчизняного технологічного сектору.
ДОБРОЧЕСНІСТЬ ВИКОРИСТАННЯ СУДДЯМИ СОЦІАЛЬНИХ МЕДІА: ПРОБЛЕМИ АДАПТАЦІЇ ЗАКОНОДАВСТВА ДО ВИМОГ ЦИФРОВОГО СУСПІЛЬСТВА
Authors: Колтун Ю. М.
Published: February 2025

У статті проведено комплексного аналізу правової невизначеності національного законодавства у світлі використання суддями соціальних медіа як вимога їх доброчесної поведінки в епоху цифровізації суспільного життя. Для судової системи виклики нового глобалізованого суспільства породжують невизначеність та мають синергетичний характер. В межах вказаної проблематики питання правового регулювання є достатньо розмитим, оскільки на законодавчому рівні не існує понятійно-категоріального апарату, що б детермінувало аспекти соціальних медіа та доброчесності судової влади. Визначено, що судді виступають не тільки громадянами держави, але й її представниками, тому питання доброчесності інформації та поведінки в соціальних медіа, що пов’язано зі суддями має вагоме значення для розвитку сучасної юриспруденції відповідно до європейських стандартів. Вказано, що на міжнародному рівні в межах досліджуваної проблематики існує дві групи норм, які унормовують питання використання соціальних медіа. До першої групи віднесено законодавство, що регулює право на свободу слова судді, як будь-якої особи, що проживає в сучасному суспільстві відповідно до загальновизнаних принципів рівності, справедливості та гуманізму (Загальна декларації прав людини, Конвенція про захист прав людини і основоположних свобод). До другої групи норм віднесено норми, які стосуються предметно використання соціальних мереж суддями, як представниками судової влади (Висновок КРЄС № 25 (2022) щодо свободи вираження суддів, Кодекси суддівської етики). Автором умотивовано потребу оновлення чинного законодавства щодо доброчесності поведінки судді в таких аспектах: додаткова вказівка у Кодексі суддівської етики про те, що судді повинні бути обережними щодо використання соціальними медіа як авторського рівня так і членів своєї родини, оскільки вказане також може бути розцінене як прояв недоброчесності судді, його упередженості чи тиску на нього; створення та впровадження до використання Рекомендацій щодо етичного використання суддями соціальних медіа та Інструкції з інформатизації та безпеки для судової влади.
AGRICULTURE TEACHER’S PERCEPTION OF AGRICULTURAL MECHANIZATION IN SECONDARY SCHOOL CURRICULUM: A CASE STUDY OF ZURU, KEBBI STATE
Authors: Yusuf Aliyu , Bamalli Imran Sidi
Published: February 2025

The aim of the study was to assess how agricultural teachers view the importance of agricultural mechanization within the agricultural education curriculum in secondary schools in Zuru Local Government, Kebbi State.  Four research objectives with correspondent research questions were formulated to guide the study. A descriptive survey research design was adopted.  Ten (10) secondary schools were purposely selected for the study across the study areas out of which two (2) were private schools.  Simple random sampling technique was used to select one hundred (100) agricultural science teachers from the sampled schools. Questionnaire with four point rating scale was used to elicit responses from the respondents. Data were analyzed using descriptive statistics of mean and standard deviation. The results revealed a positive perception held by secondary school teachers regarding the concepts in agricultural mechanization education with the overall mean of 3.52 that was above the 2.50 cut of point on a four point rating scale among others. Based on the findings, it is recommended that efforts should be made to improve agricultural mechanization curriculum by incorporating the rejected instructional areas, training workshops and capacity-building programs should be organized for secondary school teachers to deepen their understanding and ability to teach mechanized farming concepts effectively.
DEVELOPMENT AND CHARACTERIZATION OF NANO-ENHANCED SOAP WITH ENHANCED PHYSICOCHEMICAL AND ANTIMICROBIAL PROPERTIES
Authors: Shehu Aliyu , Okunola Oluwole Joshua , Uduma Uduma A.
Published: February 2025

The development of nano-enhanced soap offers a groundbreaking approach to enhancing the physicochemical and antimicrobial attributes of conventional soaps. This study compared the prepared soap with two commercially available soaps, examining parameters such as physicochemical properties, antimicrobial efficacy, and minimum inhibitory and bactericidal concentrations. The physicochemical analysis indicated that the prepared soap met regulatory standards for pH, solubility, hardness, and total fatty matter (TFM), confirming its suitability for human use. Specifically, the produced soap exhibited the following properties: pH = 6.30±0.02, Hardness = 1.3±0.02 cm, Foamability = 6.9±0.02 cm, Solubility = 80±0.02 s, and Total Fatty Matter (TFM) = 55±2%. Despite slightly reduced foamability due to the absence of foam enhancers, the prepared soap retained effective cleaning capabilities. Antimicrobial testing using the disc diffusion method demonstrated the soap's broad-spectrum activity against Gram-positive and Gram-negative bacteria, as well as fungal species, with efficacy increasing in a concentration-dependent manner. Unlike the two commercially available soaps used for comparison, which each exhibited high activity against specific pathogens, the prepared soap consistently inhibited all tested pathogens. This broad-spectrum activity highlights the superior antimicrobial properties of the prepared soap. It exhibited a minimum inhibitory concentration (MIC) of 50 mg/L and a minimum bactericidal concentration (MBC) of 100 mg/L for all pathogens, outperforming the commercially available soaps. Overall, the prepared soap demonstrated enhanced physicochemical characteristics and balanced antimicrobial efficacy, positioning it as a versatile hygiene product capable of addressing a wide range of microbial infections. Its wide-spectrum activity against all pathogens and superior physicochemical properties underscore...