bluuebunny/crossref_metadata_2025 huggingface dataset:
Leveraging AI and Data Science to Increase Student Engagement through Interactive Learning
Authors: Prastiwi Yuyun , Maulindar Joni
Published: February 2025

Student engagement in the learning process is often a challenge, especially in modern educational environments that require adaptation to interactive technology. This research aims to explore the application of artificial intelligence (AI) and data science in increasing student engagement through interactive learning. This research uses quantitative methods with a descriptive approach, analyzing participation data, system interactions, motivation, age and education level from 50 students at the upper secondary level. The results showed that the average frequency of student participation reached 12.86 times per week with a standard deviation of 4.19,indicating that although the involvement of most students was quite high, there was still significant variation. Learning system interactions had an average of 27.8 times, indicating thatstudents actively utilized available technology, with a minimum of 10 times and a maximum of 49 times during the observation period. In terms of student motivation, the average Likert score is 4.02 on a scale of 1–5, indicating a high level of motivation, with a maximum score of 4.94. The average age of students is 15.38 years, with the majority being in grade 12, according to the mode in the education level variable. Further analysis shows that these variables have a positive correlation in supporting student engagement. This shows that the use of AI-based technology can encourage students to be more actively involved in learning, while maintaining their high levels of motivation. This research concludes that the application of AI and data science can be an effective solution to increase student engagement, especially if the system is designed personally and adaptively according to individual characteristics.
Research on the Application of NLP-Driven Opinion Sentiment Tendency Analysis in Precision Marketing of New Energy Vehicles
Authors: Tang Na , Daijie Li , Mulang Bu , Zhongyuan Liu , Wenjing Zhu , Chuanxiang Yang
Published: February 2025

In today's online new media era, online public opinion often influences consumers' purchasing decisions. This dissertation discusses the strategies to promote the development of domestic new energy passenger cars, and combines the comment data of major media platforms, so that enterprises can more accurately understand the public's attitudes and perceptions towards new energy vehicles, and formulate more effective marketing strategies to increase the sales of new energy vehicles. This paper utilizes the nlp sentiment analysis technique, and incorporates 15 original papers to collect nearly 20,000 comments from major websites. It is found that the sales of new energy vehicles continue to rise despite a high proportion of negative online opinions about new energy vehicles, which is closely related to scientific and technological innovations, policy promotion, and consumers' increased acceptance of the concept of green mobility.
New Energy Vehicle Brand Sales Trend Forecast and User Evaluation Research
Authors: Tang Na , Zeng Xuefei , Jiang Ying , Zheng Haoyu , Zhou Yiyi , Guo Yan Lan
Published: February 2025

In the context of green economic development, new energy vehicles, as one of the representatives of innovation-driven development and environmental protection and energy conservation, are currently in a leading position in the market. This paper selects eight representative well-known brands, namely BYD, Li Auto, Xiaopeng, Geely, NIO, Changan Automobile, SAIC-GM and ORA, for quantitative analysis, with the aim of identifying future sales trends and conducting a precise business evaluation of new energy vehicles, as well as exploring the key factors affecting sales. The study was empirically tested using ARIMA time series forecasting, principal component analysis, linear regression analysis and neural network models. The results showed that brand identification behavior and personalized products have the most significant positive impact on sales. Therefore, this study believes that car brand collection, forwarding, personalized production and quality control are the key factors and improvement priorities that will affect future sales.
Telegram FAQ Chatbot Design for Budi Mulia Lawang Junior High School
Authors: Mahadwija Adecya Jalu , Ahda Fadhli Almu’iini
Published: February 2025

This study effectively created and assessed an academic services chatbot that employs Natural Language Processing (NLP) and Artificial Neural Networks (ANN). It demonstrates a thorough methodology that includes data collection, preprocessing, model training, and performance evaluation. The dataset was meticulously derived from frequently asked questions at the Institute of Business and Technology Asia Malang, ensuring its relevance and applicability to the target audience. Thorough preprocessing methods, such as tokenization, stemming, and the removal of stop words, were utilized to elevate the quality of the input data for the ANN model, leading to a notable enhancement in its performance. The training outcomes demonstrated a significant relationship between the number of training epochs and the accuracy of the chatbot's responses, suggesting that more extensive training resulted in improved performance. Additionally, the measurement tool employed for user feedback demonstrated confirmed validity and reliability, evidenced by a Cronbach's Alpha coefficient of 0.965, highlighting the strength of the data gathered. A study conducted with 37 students revealed a significant level of satisfaction regarding the chatbot's performance, which attained an impeccable accuracy score of 100%. The results underscore the promise of chatbots powered by natural language processing to improve academic information services, efficiently responding to student questions and markedly alleviating the burden on academic personnel. This study provides a significant framework for educational institutions looking to adopt AI-driven solutions to enhance their academic support services and enrich the student experience.
Review and Prospect of Research on the Application of VR Technology in Education and Teaching Analysis based on citespace knowledge graphs
Authors: Zhang Ximu , Liu Yue
Published: February 2025

This paper analyzes 863 China Knowledge Network (CNN) source documents using CiteSpaceV6.3.R1 software, and sorts out the current research status and development trend of VR technology in education and teaching by mapping the relevant knowledge map of keywords, issuing authors, and issuing institutions. It is found that the research on VR technology in education and teaching has experienced a slow growth from its start in 1996 to 2015, and then a significant growth after 2017 with interdisciplinary characteristics. In terms of authors and institutions, as the cooperation on this related topic is still small and very scattered, but there are some research teams cooperating with each other, and the research hotspots cover virtual reality, information technology, vr technology, education and teaching, and teaching tools. In the future, research in this field should show the following trends: deepen interdisciplinary integration and expand VR education applications; strengthen empirical research and verify the effectiveness of the technology; pay attention to ethical privacy and build a responsible education ecology.
Research on Financial Risk Assessment and Control based on New energy vehicle manufacturing industry
Authors: Jian Yangyang , Liang Keke , Lin Yuxuan , Liu Dan
Published: February 2025

This paper analyzes the differentiated growth path and business strategy effect of new energy car manufacturing companies NIO, Xiaopeng and Lixiang. Starting with financial performance analysis, Z-Score model is used to analyze the yearly changes of X variable and Z value of the three companies based on their financial data from 2019-2023, and carry out financial capability analysis and financial risk assessment. In the market environment of intensified competition, this paper explores the common problems of new energy car making new power companies, improves the system of measures in order to help enterprises reduce financial risks, maintain stable operations, and provide a reference for many new energy automobile manufacturing companies.
Computer Hardware Resources E-commerce Platform Based on Intelligent Recommendation and High Concurrency Processing - "Beiji Technology"
Authors: Luo Youyi , Jiang Ting
Published: February 2025

With the rapid development of e-commerce and the diversification of the computer hardware market, consumers are facing more and more difficulties in choosing computer accessories, and traditional e-commerce platforms are difficult to meet the user's demand for accurate shopping and efficient recommendation. The purpose of this paper is to build an intelligent computer accessories shopping platform (Beiji Technology), through intelligent recommendation algorithms, to improve the user shopping experience. The platform adopts mainstream front-end technology, efficient and stable back-end architecture, supports high concurrency data processing, and at the same time realizes dynamic interaction, which enhances the responsiveness and smoothness of the user interface. Its intelligent recommendation system generates personalized accessory recommendations based on the user's historical behavior, helping users find the products they need faster. The realization of this platform not only solves the pain points of traditional e-commerce platforms in the purchase of computer accessories, but also promotes the development of the e-commerce industry in the direction of intelligence and precision, and provides valuable references for the future research and practice of intelligent e-commerce.
Transforming Real Estate Marketing with Augmented Reality Technology
Authors: Bhavsar Mansi Uday , Adisusilo Anang Kukuh
Published: February 2025

As the world moves toward a more digitally-first environment, the real estate industry is evolving to meet the expectations of today's buyers. People are looking for technologically innovative and entertaining methods to explore properties without leaving the house. This study proposes a cutting-edge virtual tour application based on Augmented Reality (AR) that can transform the tiresome and demanding procedure of seeing properties. Customers may use their smart devices to virtually walk around residences, interact with aspects such as doors and lights, and obtain a 360-degree view of the entire property. The main objective of this research is to demonstrate how AR can reform the real estate industry by replacing expensive static show units with a dynamic, eco-friendly, and globally accessible solution. The app is developed using tools such as Unity 3D, Vuforia SDK, and SketchUp. The research highlights the potential of the app to create a more sustainable marketing approach. It also helps meet the growing demands for a more personalized experience for tech-savvy buyers. Results from the initial testing have shown increased customer engagement and satisfaction levels. The study concludes that integrating AR with property sales can be a very cost-effective, accessible, and scalable alternative with future potential for more enhanced, cross-platform usage, and international reach.
Web-Based Village Population Data Management System
Authors: Turino Sebastianus Handri , Adisusilo Anang Kukuh
Published: February 2025

Village Government is one of the governments in charge of organizing and managing resources in government at the Village level and has the obligation to administer population data. Currently, the Coal Village office is still handling the population data administration process manually. The system is still manual and uses Microsoft Word and Microsoft Excel, of course there are still many errors or shortcomings in the data processing process, which can slow down the process of adding data, searching for data and storing data. Apart from that, archiving files is less organized so it will make it difficult to find data. In an effort to overcome the problems above, a new website-based system is needed that will help management speed up and accurate population data. This computerized system will eliminate file accumulation. To achieve the objectives outlined above, this was done by conducting observations through interviews with the Village government to obtain needs for problems that often occur when managing population data. What is then carried out is system analysis, identifying user needs, process mapping, identifying frequently occurring problems, mapping system requirements so that it is hoped that the implementation of the right solution can be realized according to user needs. In an effort to overcome the problems above, a new website-based system is needed which will assist Village management in speed and accuracy of population data. With this population data processing information system, satisfaction in the service process can not only be felt by the community who act as customers, but can also be felt by all staff at the Coal Village Office because the recording and storage process becomes easier to manage.
Literature Review: Immersive Technology as a Teaching Aid in the Health Sector
Authors: Mutyara Dehana , Adisusilo Anang Kukuh , Abdillah Bima Ahmad Perkasa
Published: February 2025

The increasing complexity of healthcare education and the limitations of traditional teaching methods necessitate innovative approaches to meet global demands for skilled professionals. Immersive technologies, including Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), and Extended Reality (XR), offer transformative potential by providing interactive, lifelike simulations that bridge theoretical knowledge and practical skills. This study employs a systematic literature review alongside case studies and interviews with educators and students to assess the effectiveness of these technologies in healthcare training. Results reveal significant improvements in learner engagement, conceptual understanding, skill acquisition, and empathy, with particular benefits for inclusive and adaptive learning. However, barriers such as high costs, accessibility challenges, and ethical concerns persist, limiting widespread implementation. Practical recommendations are proposed to overcome these challenges through scalable, cost-effective solutions and interdisciplinary collaboration. This research highlights the global potential of immersive technologies to revolutionize healthcare education, fostering equity, inclusivity,  and  the  development  of  a  competent  and empathetic healthcare workforce.
Early Prediction of Mental Health Disorder Among Higher Education Students Using Machine Learning
Authors: Mohd Asni Muhammad Luqman Hakim , Mohd Zukhi Mohd Zhafri , Mat Din Mazura
Published: February 2025

In spite of the fact that mental health illnesses are quite common among students in higher education, early detection continues to be a difficult task. This study seeks to determine the use of machine learning to forecast the occurrence of mental health issues in this group. Various machine learning methods were explored to analyze the data collected from higher education students and to identify potential risk factors associated with mental health issues. Through the development of a model that is capable of accurately predicting the risk of mental health illnesses, the project intends to facilitate early intervention and improve the overall well-being of their student population.
Intelligence Book Recommendation System Using Collaborative Filtering
Authors: Nabilah Nisa , Zanariah Zanariah
Published: February 2025

The rapid growth of online literary material has changed the way users discover books, revealing the limitations of traditional recommendation algorithms. This paper presents a review about an intelligent book recommendation system that uses collaborative filtering (CF) and artificial intelligence techniques to address major obstacles such as cold-start issues, data scarcity, and privacy concerns. The suggested method guarantees customized, accurate, and diversified recommendations by merging hybrid approaches such as CF with content-based filtering and matrix factorization. To measure performance, the researchers employ publicly accessible datasets, rigorous preprocessing approaches, and assessment criteria like as accuracy, recall, and F1-score. This project intends to rethink the book discovery process by solving basic issues and applying a privacy-conscious design, while also providing a scalable and user-friendly platform for tailored recommendations.
Implementation of Fish and Plant Nutrition Technology On Aquaponic Systems
Authors: Khoiri Rizky Dafa , Styawati Styawati , Afredha Arya
Published: February 2025

Catfish farming often faces challenges due to high stress levels in fish caused by instability in water pH and temperature, which disrupt metabolism, reduce appetite, and harm their health. This can lead to nutrient deficiencies for plants in aquaponic systems, causing ecological imbalances. Many farmers still rely on instinct to monitor pond conditions, making it difficult to detect changes in pH, temperature, and nutrient levels promptly, resulting in suboptimal water conditions and high fish mortality rates. To address this, a device equipped with sensors for real-time monitoring of pH, water temperature, and nutrient levels is necessary, helping farmers maintain ecological balance and reduce fish mortality. This research aims to ease catfish farming by integrating an automatic feeding system controlled by a servo and RTC and monitoring critical parameters like pH, temperature, and plant color through Thingspeak. Using the prototype method, the system was developed with ESP32, Arduino Microcontroller, pH sensor, DS18B20 temperature sensor, TCS3200 color sensor, buzzer, and servo. The aquaponics system design included scheduled nutrient supply for fish feed and an accurate feeding process activated at 12:00 PM, running the servo for 2 seconds with a buzzer alert. Testing confirmed the sensors’ ability to transmit data to Thingspeak and display it via LCD. However, the temperature sensor requires periodic calibration, as weather conditions significantly influence readings. During the rainy season, the lowest temperature recorded was 27.10°C, while the highest temperature during summer reached 29.32°C, demonstrating the system’s adaptability across seasons.
Implementation of COBIT 2019 with Domain DSS01, DSS03, and MEA01 for Audit of Customer Water Usage Recording Information System at HIPPAM Mandiri Arjowinangun
Authors: Nadira Reva Rahma , Mawaddah Hilmiyah , Tirtana Arif
Published: February 2025

Currently, HMA faces challenges in optimizing the recording system, because the meter recording process is still done manually. This manual process hampers operational efficiency and data accuracy which impacts the quality of service to customers. Therefore, it is necessary to evaluate the existing information system to measure whether the application of information technology is in accordance with the goals and expectations of the organization. This study aims to analyze the application of information technology in HMA using the COBIT 2019 framework, specifically in the domains DSS01 (Manage Operations), DSS03 (Manage Problems), and MEA01 (Monitor, Evaluate, and Assess Performance). Through capability analysis in these three domains, this study identifies gaps in the existing system and provides recommendations for improvements to improve the efficiency and accuracy of the customer water usage recording system. The results of the study indicate that HMA's capability level is still below the desired target, so it is important to make improvements by implementing more integrated digital solutions and improving continuous monitoring and evaluation of system performance.
Community Archive of Social Culture in FISIP UNPAR Through Communication Visual of Zine Creation “Buku, Pesta, Cinta”
Authors: Muzadi Alifya Ainun , Hermawan Daniel
Published: February 2025

This study explores the role of zines as a medium for archiving the socio-cultural heritage of FISIP UNPAR through the creation of Buku, Pesta, Cinta by the community GRAND BUPESTA. Employing a qualitative descriptive methodology, the research examines how visual communication design is utilized to preserve and convey cultural narratives. The zine features photography and narrative text inspired by the urban legends of FISIP UNPAR, employing provocative yet reflective headlines to engage its audience. Results indicate that zines, as grassroots publications, effectively serve as tools for documenting and disseminating cultural identity, showcasing the potential of visual communication in community archiving efforts.
Automated Detection of Hazardous Areas in Railway Stabling Depots Utilizing Passive Infrared Motion Sensors
Authors: Bacat Chrzthemmarcdickins B. , Bulan John Bryan L. , Cantero Jan Marty A. , Lampano Ivann Dexter C. , Aunario Connie C. , Delizo Carlo Jay G. , Bunag Sherlie D. , Sison Venerando A. , Garcia Julius G.
Published: February 2025

This research project aims to construct a motion sensor indication of hazardous railway depot areas to improve the safety of the crew. The project proposes a localized, solar-powered safety system that will govern the inherent dangers of railway station operations and avert possible accidents. The focus was developing and building a prototype incorporating motion sensor technology that uses visual and audio alerts to alert staff of impending dangers in real-time. This method would therefore design a system that consisted of a Passive Infrared (PIR) motion sensor, a siren alarm, a Light Emitting Diode (LED) indicator, and a manual push button that could activate the alarm, along with a Closed-Circuit Television (CCTV) camera for surveillance purposes and a wireless monitor to improve visibility. The prototype was seen to operate correctly in the experiment, where the motion sensor PIR easily sensed any movement and activated the siren alarm and the LED lights. The CCTV camera plus the wireless monitor supplemented and increased surveillance and visibility factors in the danger zone of safety. In this, this research provides a means of significant enhancement in terms of railway station safety that is through using a locally powered, solar motion sensor activation. The real-time detection and alarm of the system can potentially inform staff of potential dangers in time, thereby preventing accidents and creating a safer environment. Further research should be conducted to upgrade the capabilities and usability in different railway depot scenarios. This may involve evaluating different motion sensors, including additional safety devices, and making field tests to evaluate the system's effectiveness in real application cases.
AUTOMATIC MOBILE OIL DISPENSING WITH MONITORING FOR TRAIN COMPRESSOR
Authors: Abad Angelique Faith S. , Bañola Kian M. , Evangelista Raniel Adam D. , Gimeno Johnloid S. , Reyes Gerald P. , Ballesteros Mariezol , Garcia Julius G. , Delizo Carlo Jay G. , Bunag Sherlie D. , Sison Venerando A. , Andador Jennifer D.
Published: February 2025

Train compressors require the appropriate oil level to function effectively. Kettles and pitchers are useless, inexact, and dangerous for hand oil replenishment. To solve these problems, this project developed an automated mobile oil delivery system that monitored the oil. The technology avoids spills, dispenses oil accurately, and monitors oil levels and battery efficiency in real-time. All of the above requires a very thoughtful design and development of a self-priming pump, ultrasonic sensors, an electronic battery sensor, an ultrasonic flow meter, and an Arduino Giga display. It was developed and tested locally. The system accurately administered oil and monitored oil levels and the condition of the battery; excellent comments were received from the maintenance experts. This implies that automated oil refilling for railway depots' train compressor oil may enhance efficiency and safety. The potential to work with various train compressors, as well as economic and environmental advantages, deserve further research.
Nutrieye: An Android-Based Food Nutritional Value Recognition App Using Yolov8 Algorithm
Authors: Aseoche Nicholai Gian B. , Al-Ismail Shahed Ibrahim B , Dannug Edvince Joy M
Published: February 2025

Good nutrition is essential for a healthy lifestyle, yet many people consume calorie-dense, low-nutrition foods, contributing to malnutrition. While food recognition systems exist, few cater specifically to Filipino dietary needs. This study developed NutriEye, an Android-based app that identifies the nutritional content of common Filipino foods and recommends portion sizes based on user profiles and dietary needs. Using the Food Nutrition and Research Institute's (FNRI) Philippine Food Composition Table and Dietary Reference Intake Chart, the app leverages the YOLOv8 algorithm to analyze food images, estimate nutritional values, and calculate suitable servings. The app's accuracy was tested through evaluation metrics and validated using ISO/IEC 25010 standards for quality, including functionality, efficiency, usability, and security. Feedback from 100 respondents confirmed the app’s effectiveness in promoting better nutrition management tailored for Filipino users.
Sentilyze: A Bilingual Sentiment Analysis API Using Logistic Regression and Support Vector Machine Algorithms
Authors: Baterina Juan Gabriel , Castañeda Jared , Sumadsad Stephen Grant
Published: February 2025

This study introduces a Bilingual Sentiment Analysis API employing Logistic Regression and Support Vector Machine (SVM) algorithms. Using descriptive research methods, the study focuses on the administrative personnel of the External Relations Department (ERD) at Colegio de San Juan de Letran Calamba, with the Director as the primary respondent. Data were collected through interviews and social media content, particularly Facebook posts and comments. The API development followed the Agile Model within the Software Development Life Cycle (SDLC). Results highlight the proposed model’s precision and reliability, with Logistic Regression delivering accuracy and SVM effectively capturing sentiment patterns. Combined, these algorithms achieved a 90.19% accuracy rate across five recorded tests, showcasing the efficiency of automated sentiment analysis in reducing processing time and providing real-time insights. This tool aids the ERD in online reputation management and strategic decision-making by interpreting sentiment data. Furthermore, the research advances natural language processing by addressing sentiment analysis challenges in social media contexts and offering a practical solution for sentiment interpretation. The Bilingual Sentiment Analysis API provides a powerful resource for improving the ERD's capabilities in utilizing sentiment data to enhance communication strategies and operational efficiency.
Blockchain-Based Barangay Document Management System with OCR Data Extraction
Authors: Abubo Katherine Dela Cruz , Ramos Edlrin Dave Abarquez , Valencia Faith Ansano , Sison Ariel Antwaun Rolando , Abando Diony , Blanco Mark Christopher , Agustin Vivien A.
Published: February 2025

This study introduces a Blockchain-Based Barangay Document Management System enhanced with Optical Character Recognition (OCR) to address the challenges of manual document handling in Philippine barangays. The system utilizes Blockchain to create an encrypted, tamper-proof ledger, ensuring data integrity and transparency by decentralizing document storage and preventing unauthorized alterations. AES-256 encryption and hashing algorithms protect transactions, while OCR technology digitizes physical records with 96% accuracy, reducing processing times by 50% and minimizing manual errors. The integration of Merkle Tree ensures each document’s uniqueness, and the system was evaluated against ISO 25010 standards, achieving high functionality, performance, and user satisfaction. This solution improves document security, reduces administrative workloads, and enhances service efficiency, fostering transparency and trust in local governance.
Design and Development Website English Learning for Elementary School to Increase Engagement
Authors: Descandra Vianneza Alifz , Kukuh Anang
Published: February 2025

The development of technology has a great influence on the development of Learning media is one of the factors that plays an important role during the learning process especially for elementary school. Elementary school currently use gadget media as a daily guide but are not used as a medium for learning English. This causes a decrease in value and a lack of interest in learning English through book media due to the lack of enjoyable interaction. The purpose of this study is to find out how to design and build English learning media and increase engagement for elementary school in grade 4 based on a website that can increase interest in learning and help the teaching and learning process to be more efficient. This learning media is designed with several features such as materials, sample questions, learning videos, and practice questions which are expected to motivate students to continue to understand the learning materials obtained. The steps used in building this website are through planning needs then system design then system development and the last is implementation. This study uses Cognitive Engagement type engagement which means involvement in cognitive. With the system on the website, it is expected to help 4th grade elementary school students in English learning activities.
Data Protection Strategy in Management Information Systems: Risk Analysis and Implementation
Authors: Widagdo Nanda Ari Wahyu , Winasis Afiat Lintang , Putri Fanisa Halya , Wardana Fhatoni Nur , Pamekas Bondan Wahyu
Published: February 2025

Management information system (MIS) data protection is critical and cannot be ignored, especially considering the increasing number of cyber threats and data leaks that can harm organizations. This journal discusses various data protection methods that can be used in MIS, with special emphasis on risk analysis and good implementation. In this research, we conducted a comprehensive analysis of the various threats faced by management information systems, including threats from cyberattacks, human error, and technological vulnerabilities. We also identify the components that contribute to those risks and how they impact data integrity and confidentiality. We do this using a case study approach and qualitative data collection. Additionally, the journal offers various solutions for mitigation, such as implementing strict access controls, data encryption, and security training for users. We also emphasize how important it is to have a clear information security policy and disaster recovery procedures to ensure continued operations. This research aims to assist organizations in strengthening their management information systems by providing practical, evidence-based recommendations for implementing data protection strategies. It is hoped that the results will serve as a guide for stakeholders in designing and implementing effective data protection strategies, which will increase trust and security in data management in the digital era.
Peningkatan kompetensi pengelolaan sistem operasi Linux Red Hat di SMK Muhammadiyah 2 Sukoharjo
Authors: Yudanto Bramasto Wiryawan , Kustanto Kustanto
Published: February 2025

The increasing need for information systems at this time also coincides with the demand for reliable server infrastructure provider services, in order to produce maximum Information Technology services, IT human resources are needed who are able to manage server infrastructure optimally (Sirait, 2018). The vocational school educational institution with the TKJ major currently produces graduates who have an impact on fulfilling human resources in the field of IT services. The current level of mastery of the latest Linux technology which is still low in vocational school institutions majoring in TKJ can have an impact on the quality of skills possessed by vocational school graduates, therefore up-to-date Linux learning resources are needed so that vocational school graduates have competencies that are in line with the needs of the current IT industry.
Diversificación de actividades y roles de género en la comunidad rural cubana La Picadora: análisis desde fotografías etnográficas
Authors: Vázquez Sánchez Vanessa , Valdés Massó Diana , Monzón Álvarez Melisa , Rangel Rivero Armando , Ramenzoni Victoria , Cristiá-Lara Leonardo
Published: February 2025

El objetivo del trabajo es reflexionar sobre la diversificación de actividades y roles de género en la comunidad rural cubana La Picadora. Se emplearon fotografías etnográficas, entrevistas, encuestas, observación participante y no participante. Los hombres ejecutan labores agrícolas, mecánicas, constructivas y domésticas. Las mujeres se dedican a trabajo doméstico remunerado y no remunerado, atención a animales, cuidado de otras personas, venta de productos. En el agroturismo hay división sexual del trabajo. Las mujeres se ocupan de la limpieza de las casas, lavan la ropa y la vajilla, cocinan, mientras que los hombres suministran alimentos para el consumo. La diversificación de actividades y roles de género han estado afectadas por dos eventos fundamentales: la transición de agricultura cañera a no cañera y el agroturismo. Con la pandemia de COVID-19 se evidenció la necesidad de fomentar más opciones de empleo, lo cual influyó en la mayor variedad de labores en los últimos cuatro años. Existen disparidades, especialmente entre las mujeres. Por una parte, hay un grupo dedicado a faenas más tradicionales, no remuneradas y por la otra, féminas más independientes económicamente, con mayores ingresos y pluriempleo. Estos elementos han sido monitoreados con fotografías etnográficas en un periodo de 40 años.
ІННОВАЦІЙНІ МЕТОДИ ЗАБЕЗПЕЧЕННЯ ЗАХИСТУ ПРАВ СПОЖИВАЧІВ В ІНДУСТРІЇ ГОСТИННОСТІ
Authors: Тягунова Н. М.
Published: February 2025

У статті розглядаються інноваційні підходи до забезпечення захисту прав споживачів у сфері гостинності. Аналізуються сучасні виклики, з якими стикаються галузі підприємства, зокрема зростання очікувань клієнтів, посилення конкуренції та забезпечення підтримки високих стандартів обслуговування. У статті здійснено комплексний аналіз інноваційних методів, спрямованих на підвищення рівня захисту прав споживачів в індустрії гостинності, яка є єдиною з найбільших клієнтоорієнтованих галузей. Враховуючи інтенсивний розвиток цифрових технологій і нові виклики сучасного ринку, традиційні підходи до забезпечення прав споживачів стають менш ефективними. Стаття фокусується на випуску таких інновацій, як штучний інтелект, блокчейн, хмарні сервіси, автоматизація процесів управління відгуками, а також інтегровані CRM-системи. Розглянуто, як штучний інтелект дозволяє прогнозувати очікування клієнтів, автоматично аналізувати рівень їхнього задоволення та швидко реагувати на їхні потреби. Блокчейн-технології забезпечують прозорість та незмінність даних, що завершують довіру до захисту персональної інформації споживачів і запобігає шахрайству. без цього обговорення використовуються методи побудови ефективного діалогу з клієнтами за допомогою автоматизованої системи обробки скарг і пропозицій, що дозволяє знизити рівень конфліктів і мінімізувати негативний вплив на репутацію компанії. У статті також висвітлено соціальні мережі та онлайн-платформи як канали для підтримки постійного зв’язку з клієнтами та управління їхньою лояльністю. Авторами надано рекомендації для бізнесу щодо поетапного впровадження таких технологій і підходів, підкреслюючи необхідність інтеграції інноваційних методів у загальну стратегію розвитку компанії. Запропоновано рекомендації щодо впровадження нових методів для підвищення рівня довіри клієнтів та вдосконалення системи захисту їхніх прав в індустрії гостинності. Стаття може стати корисним джерелом для дослідників та фахівців, що займаються питаннями клієнтського досвіду та захисту прав споживачів, пропонує конкретні інструменти і підходи, які відповідають сучасним вимогам ринку та допомагають підвищити конкурентоспроможність підприємств індустрії гостинності.
ВЕКТОРИ МОДЕРНІЗАЦІЇ ТЕХНОЛОГІЙ СУБСИДУВАННЯ ЖИТЛОВО- КОМУНАЛЬНИХ ПОСЛУГ НАСЕЛЕННЮ
Authors: Фоменко О. О.
Published: February 2025

Дане дослідження присвячене актуальним проблемам модернізації технологій субсидування житлово-комунальних послуг (ЖКП) населенню в Україні. Мета роботи - розробити пропозиції щодо модернізації технологій субсидування ЖКП для підвищення ефективності соціальної підтримки малозахищених верств населення в Україні. Методологія дослідження базується на системному підході та включає аналіз статистичних даних, порівняльний аналіз міжнародного досвіду, експертні оцінки та моделювання. Використано методи теоретичного узагальнення, аналізу та синтезу, статистичного аналізу. У статті проаналізовано сучасний стан системи субсидування ЖКП, виявлено основні проблеми та виклики. Серед ключових проблем виділено значне навантаження на державний бюджет, недостатню адресність допомоги, складність адміністрування та потребу боротьби зі зловживанням. На основі проведеного аналізу пропонується комплексний підхід до модернізації, який охоплює п’ять ключових векторів: цифровізація процесу надання субсидій, вдосконалення механізмів адресності, підвищення енергоефективності житла, інтеграція з іншими соціальними програмами та впровадження прозорих механізмів контролю. Кожен із цих векторів детально відображується з точки зору конкретних заходів та очікуваних результатів їх реалізації. Науковою новизною дослідження стала розробка інноваційної концепції інтеграції систем субсидування ЖКП з програмами підвищення енергоефективності житла та новому підході до забезпечення адресності субсидій через впровадження автоматизованих алгоритмів оцінки матеріального стану заявників. Запропоновані заходи спрямовані на створення більш справедливої, ефективної та прозорої системи субсидування. Результати дослідження можуть бути використані при розробці державної політики у сфері соціального захисту населення та реформуванні житлово-комунального господарства. Подальші дослідження мають бути спрямовані на розробку детальних механізмів впровадження запропонованих векторів модернізації та оцінку їх ефективності в українських реаліях.
УПРАВЛІНСЬКИЙ ПІДХІД ДО РОЗГЛЯДУ SMART CITY ЯК СУСПІЛЬНОГО ПРОСТОРУ СТАЛОГО РОЗВИТКУ
Authors: Немировська О. В.
Published: February 2025

Еволюція міст у стійкі та інтелектуальні структури пройшла значний шлях завдяки інтеграції Штучного Інтелекту (далі – ШІ) та Інтернету Речей (далі – ІР). Це дослідження систематично аналізує 133 наукових статтей, опублікованих у період між 2014 та 2021 роками, переважно з джерел Scopus (90%) та WoS (70%). Зосереджуючись на ключових сферах інтелектуальних міст, таких як охорона здоров'я, освіта, довкілля, управління відходами, мобільність, сільське господарство, управління ризиками та безпека, аналіз досліджує застосування ШІ. Поширення ШІ для операційної автоматизації, прийняття рішень на основі даних та покращення довкілля зумовлює виникнення регуляторних викликів, які охоплюють питання, пов'язані з конфіденційністю, дискримінацією у наданні послуг та етичними аспектами. Підкреслено вплив впровадження ШІ, особливо в охороні здоров'я після глобальної кризи здоров'я 2019 року, акцентуючи ключову роль алгоритмів ШІ, таких як ANN, RNN/LSTM, CNN/R-CNN, DNN та SVM/LS-SVM, у формуванні траєкторій розвитку міст. Це дослідження надає уявлення про багатогранні наслідки впровадження ШІ в інтелектуальних містах, пропонуючи всебічний огляд переваг, викликів та трансформаційного потенціалу цих технологій у різних секторах міського середовища. Розвиток інтелектуальних міст, заснований на інтеграції ШІ й ІР, створює нові можливості для маркетингу територій та стратегічного розвитку регіонів. Використання передових технологій не лише підвищує комфорт та ефективність життя мешканців, але й робить регіони привабливішими для інвестицій та бізнесу, що сприяє зростанню економічного потенціалу. Впровадження інноваційних рішень для оптимізації міських сервісів допомагає створити імідж прогресивного регіону, здатного забезпечити сучасні умови для життя та ведення бізнесу. Стратегічний розвиток з акцентом на екологічність, безпеку та якість послуг формує конкурентну перевагу для регіонів, залучаючи нових резидентів та таланти. Таким чином, інтелектуальні міста стають важливим фактором у довгостроковій стратегії економічного зростання та сталого розвитку регіонів, підвищуючи їхню привабливість на глобальному рівні.
ТЕРАПЕВТИЧНІ ЛАНДШАФТИ У ДИЗАЙНІ МІСЬКОГО СЕРЕДОВИЩА: ВІТЧИЗНЯНИЙ ТА ЗАРУБІЖНИЙ ДОСВІД
Authors: Лотоцька Віта Миронівна
Published: February 2025

У статті розглянуто поняття терапевтичних ландшафтів та особливості їх проєктування. При створенні функціональних та естетично привабливих зелених зон у дизайні міського середовища з’являються нові тенденції, що пов’язані з усвідомленням терапевтичного впливу довкілля на людину. З’ясовано значну роль терапевтичного ландшафту у контексті нових завдань, що постали перед дизайном середовища в умовах воєнного часу. Проведено аналіз прикладів реалізації терапевтичних ландшафтів вітчизняними та зарубіжними фахівцями з позиції запровадження перспективних реабілітаційних технологій та відзначено їх значний потенціал у роботі з різними категоріями населення. У процесі планування терапевтичного міського простору враховуються різноманітні потреби потенційних відвідувачів з метою забезпечення його інклюзивності. Проєктування терапевтичних ландшафтів передбачає не тільки врахування вимог до функціональних та технічних характеристик, а й забезпечення емоційної складової простору. Дизайнери у процесі своєї діяльності обирають саме ті засоби, що сприяють створенню такого образу середовища, що запам’ятовується на основі емоцій та переживань людини, сприяє покращенню її психоемоційного стану. Дедалі популярнішим є використання сенсорних характеристик рослин та матеріалів. Так, ідея сенсорних садів сьогодні забезпечує цінний ресурс для різноманітного спектру застосувань та створює широке поле діяльності для дизайнерів. Найпоширенішим підходом до культивування сенсорного саду є створення на його території значної кількості зон, різноманітних за тематикою та спрямованих на конкретні органи чуття. У дослідженні висвітлено й екологічну складову терапевтичних ландшафтів, що є особливо актуальним на сучасному етапі розвитку міського середовища. Адже надзвичайно важливим є пошук та запровадження нових проєктних рішень при створенні зелених зон з урахуванням сучасних вимог до якості міського середовища, що є важливим елементом його сталого розвитку.
PENGARUH ASIMETRI INFORMASI, KUALITAS AUDIT, KOMITE AUDIT DAN UKURAN PERUSAHAAN TERHADAP MANAJEMEN LABA PADA PERUSAHAAN PERBANKAN DI BEI PERIODE 2018-2022
Authors: Nurhafifah Nurhafifah , Sari Nurshadrina Kartika , Ningsih Wiwik Fitria
Published: February 2025

This study aims to analyze the effect of information asymmetry, audit quality, audit committee and firm size on earnings management. The object of this study are banking companies listed on the Indonesia Stock Exchange (IDX) for the 2018-2020 period. The sample selection used a purposive sampling method, so that a total of 32 bank companies were obtained. The research method used is a quantitative approach to the method of analysis, namely multiple linear regression analysis with dummy variables. The results of this study indicate that (1) information asymmetry and audit quality have no effect on earnings management (2) audit committee and firm size have an effect on earnings management. Simultaneously, information asymmetry, audit quality, audit committee and firm size have an influence on earnings management.
SELECTING AN ADEQUATE MODEL FOR TIME SERIES DECOMPOSITION WHEN THE TREND CURVE IS QUADRATIC
Authors: Enegesele Dennis , Eriyeva Godspower , Ejemah Thomas
Published: February 2025

The Buys-Ballot (B-B) approach for the decomposition of additive and multiplicative models in descriptive time series (TS) was examined in this paper. The selection of an adequate model is very important as it shows the underlying structure of the series because the fitted model will be used for future forecasting. Mis-specifying the model characteristics of the data is consequential and can result in biased tests and false predictions The Buys-Ballot method was demonstrated for the selection of an appropriate model and a statistical test that will aid in the selection between additive and multiplicative models was proposed when the trending curve is quadratic. The model identified was used for the forecast. Using the B-B technique, the column variances for the additive model do not contain the seasonal effect while that of the multiplicative model contains the seasonal effect. This distinction was then applied to select between additive and multiplicative models. The chi-square test was proposed for the selection between additive and multiplicative models for the decomposition of TS data. The results when applied to a quadratic trend curve reveal that the appropriate model for the decomposition of the data is the additive model as all calculated chi-square values are within the chi-square acceptance region based on a two-tail test at a 1% level of significance. The additive model identified was then used to decompose the series and the trend analysis model was used for the forecast of the series. The chi-square test was proposed to justify the Buys-Ballot method for...
X (FORMALLY TWITTER) PRODUCT CLASSIFICATION USING NAÏVE BASE
Authors: Orie Cynthia E. , Egwali A. O. , Amadin F. I.
Published: February 2025

Finding polarities in a textual data is very important in sentiment analysis. Navie Bayes is one of the most effective machine learning classifier techniques and a probabilistic classier that applies Bayes theorem and assuming feature independence for the classification of data. The objective of this research is to implement the Naïve Bayes algorithm for the classification of sentiment in the context of X (Formally Twitter) product classification. Our aim is developing a model that can conveniently classify product-related text into positive and negative sentiment categories. The process begins with the collection of customer product reviews from X (Formally Twitter) and vectorizing each reviews making a long array of unique words, whose attributes include the independent vectors while assigned values are the number of times each independent vector appear in the product review. We had a total of one hundred and thirty-three (133) unique words in the training set for both the positive and Negative statements of which ten (10) documents were with positive (+) outcomes and ten (10) documents were with negative (-) outcomes. From the product reviews we derived the probability of each positive outcomes of independent word, probability of each negative outcomes of independent words and then the probability of each word in the product review. Our results shows that the naïve bayes classifier is a good classification technique and will be effective for both large and small businesses in making decisions related to their product development, marketing campaigns and customer support.