bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementasi Sistem Manajemen Kearsipan Digital di Dinas Perpustakaan Dan Kearsipan Kota Bandung Mini Riset Otonomi & Pemerintahan Lokal
Authors: Saefulrahman Iyep , Muhammadi Rafarza , Dwi Sakti Muhammad Faiz , Nabil Alpasha Justin
Published: January 2025

Penelitian ini menganalisis implementasi Sistem Manajemen Kearsipan Digital di Dinas Perpustakaan dan Kearsipan Kota Bandung dalam mendukung tata kelola pemerintahan yang efisien dan transparan. Studi ini mengungkap proses transisi dari sistem lokal ke Srikandi, aplikasi nasional berbasis digital, yang menghadapi tantangan seperti keterbatasan sumber daya manusia, anggaran, dan infrastruktur. Meskipun terdapat kendala, penerapan sistem ini menunjukkan potensi untuk meningkatkan efisiensi pengelolaan arsip, mengurangi ketergantungan pada arsip fisik, dan mempercepat transformasi digital. Penelitian ini merekomendasikan penguatan pelatihan, dukungan teknis, serta sinergi antara pemerintah pusat dan daerah untuk memastikan keberlanjutan dan optimalisasi sistem.
Literature Study of Fixed Asset Depreciation Calculation On Profit In Financial Statements
Authors: Silitonga Juliarta Elisabeth , Sihombing Dona Olivia , Talitha Nabila  , Muhammad Khoiri Luthfi  , Nur Aliah
Published: January 2025

Depreciation of fixed assets is an important element of accounting that has a significant impact on financial reporting, especially profit reporting. The purpose of this study is to analyze the calculation of depreciation of fixed assets and its impact on reported profit. Consider different depreciation methods, such as the straight-line method, declining balance method, and production unit method, to understand how each method affects cost allocation and income statement results. In addition, this study also discusses the relevance of Statement of Financial Accounting Standards (PSAK) no. 16 Shows the effect of recognizing depreciation expense and tax obligations due to the recognition of depreciation expense. The results of the analysis show that choosing the right depreciation method not only affects net income, but also plays an important role in asset management and corporate strategic decision-making. Therefore, an in-depth understanding of fixed asset depreciation is essential for managers to develop investment strategies and comply with accounting standards.
The Role of Customer Orientation, Competitor Orientation, and Marketing Strategy on Marketing Performance Coffee Shop & Coworking Space in Yogyakarta
Authors: Oktiansyah Sella , Audita Nuvriasari
Published: January 2025

This research aims to analyze the role of Customer Orientation, Competitor Orientation, and Marketing Strategy on the Marketing Performance of Coffee Shop & Coworking Space in Yogyakarta. The sample in this study were 40 respondents. The sampling technique used a non-probability sampling method with the research instrument used was a questionnaire. The results of the instrument test state that the data in this study are proven to be valid and reliable. The classical assumption test states that the data in this study are normally distributed and produce a regression model that is free from multicollinearity and heteroscedasticity. The findings of the results of this study prove that: (1) Customer Orientation has a positive and significant effect on the marketing performance of Coffee Shop & Coworking Space in Yogyakarta, (2) Competitor Orientation has no effect on the marketing performance of Coffee Shop & Coworking Space in Yogyakarta, (3) Marketing strategy has no effect on the marketing performance of Coffee Shop & Coworking Space in Yogyakarta.
PENGARUH PASSING STATIS DAN DINAMIS TERHADAP PENERIMAAN BOLA PERTAMA SEPAK TAKRAW SMK N 3 SEMARANG
Authors: Rosyanto Viki Ardi , Pratama Dani Slamet
Published: January 2025

This study aims to investigate the influence and differences between static and dynamic passingexercises in receiving the first ball. The research method uses the M-S (Matched Subject Design) standard. The total population is 15 students and the sample is 12 students, using the purposive sampling technique. The research instrument with the first ball acceptance test was retested with validity of 0.79 and reliability of 0.96. The independent variable is the practice of static and dynamic passing, the dependent variable is the ability to receive the first ball. Data analysis used the t-test statistic at a significance level of 5% with d.b n-1. The results of the research were: 1) The t-score of experimental group 1 was higher than the t-table (5.869 > 2.571) which means that there was an influence from static passingtraining. 2) The t-score of experimental group 2 is higher than the t table (6.932 > 2.571) which means that there is an influence from dynamic passingtraining. 3) the test results for the difference between the T-score of static and dynamic passingexercises is smaller than the T-Table (0.209<2.571), which means there is no difference in influence.
Автофикшен как медиум культурной памяти: роман Э. Лимонова «У нас была Великая Эпоха»
Authors: Разухина К.
Published: January 2025

В статье поднимается вопрос об изучении автофикциональных текстов как медиумов культурной памяти на примере рассмотрения репрезентации истории в романе Э. Лимонова «У нас была Великая Эпоха». Начиная с работы Я. Ассмана, культурная память понимается как феномен, воссоздающий и сохраняющий символические смыслы истории в коллективной памяти субъектов. Одним из медиумов культурной памяти можно считать литературу, в том числе автофикциональные тексты, исследующие связь индивидуального опыта с коллективным. В романе Лимонова «У нас была Великая Эпоха» индивидуальная память рассказчика, опирающаяся на городской фольклор и интертексты, воссоздает образ истории в памяти поколения 1950-х годов, противопоставляя альтернативную версию доминирующему историческому нарративу.

The article raises the question of studying autofictional texts as mediators of cultural memory on the example of considering the representation of history in E. Limonov’s novel We Had a Great Epoch. Since the work of J. Assman, cultural memory is understood as a phenomenon capable of preserving symbolic reconstructed meanings of history in the collective memory of subjects. One of the mediums of cultural memory can be considered literature, including autofictional texts that explore the connection between individual experience and collective experience. In Limonov’s novel We Had a Great Epoch, the narrator’s individual memory, based on urban folklore and intertexts, recreates the image of history in the memory of the generation of the 1950s, contrasting an alternative version with the dominant historical narrative.
«Вольный стрелок» Карла Марии фон Вебера в русской культуре XIX века (Молитва Агаты над Волчьей долиной)
Authors: Верещагина Е. , Зорин А.
Published: January 2025

В статье рассмотрена история рецепции оперы К.-М. Вебера «Вольный стрелок» («Der Freischütz») в России XIX века от первых упоминаний об опере в печати 1820-х годов до чеховской «чайки». Мы анализируем историю повседневного бытования оперы, критических откликов на нее, литературных аллюзий, идеологических и художественных переосмыслений. Успех и значение оперы на российской почве определялись специфическим сочетанием романтического демонизма, темы жертвенной ангелоподобной героини и обращением к идее народности в музыке.

The article discusses the reception history of K.-M. Weber’s Der Freischütz in 19th century Russia from the first reactions in the Russian press in 1820s to Chekhov’s The Seagull. We analyse the history of everyday usages of the opera, critical reviews, literary allusions, ideological and artistic interpretations. The success of the opera and its importance for Russian culture were shaped by the specific constellation of romantic demonology, the image of self-sacrificing angelic heroine and realization of the ideal of nationality in music.
Письмо Михаила Ерёмина Льву Лосеву о Пастернаке
Authors: Валиева Ю.
Published: January 2025

В статье впервые полностью публикуется письмо М.Ф. Ерёмина к Л. Лосеву в США 1991 года, содержащее его воспоминания о Борисе Пастернаке. Отмечается жанрово-стилистическое своеобразие текста Ерёмина и его историко-литературная ценность. Публикация сопровождена филологическим и реальным комментарием.

The article introduces a letter from Mikhail Yeryomin to Lev Loseff, containing the poet’s memoirs about Boris Pasternak. The publication outlines its genre and stylistic features, and gives both real and philological commentary to the text.
Воображая историю: вместо введения
Authors: Корчинский А.
Published: January 2025

Настоящая заметка представляет собой вступление к серии статей авторского коллектива, заинтересованного в изучении исторического воображаемого в литературе и других видах искусства. в предлагаемой подборке представлены опыты анализа литературных текстов, проблематизирующих те или иные форматы имагинативного моделирования истории. в работе намечается теоретическая база для современного возвращения к исследованию «исторических культур» в художественных практиках.

This note is an introduction to a series of articles by a group of authors interested in the study of the historical imaginary in literature and other forms of art. The set of publications presents experiences of analysing literary texts that problematise certain formats of imaginative modelling of history. The paper outlines a theoretical basis for a contemporary return to the study of “historical cultures” in artistic practices.
Петроградский Дом искусств как организационный эксперимент эпохи военного коммунизма
Authors: Лихинина М.
Published: January 2025

В статье на примере истории петроградского Дома искусств рассматриваются проблемы отношений власти и интеллигенции в период военного коммунизма. Раскрываются причины неудачи Дома искусств как горьковского проекта по объединению художественной интеллигенции. Доказывается, что его упадок был обусловлен не столько репрессивными государственными мерами, сколько неопределенным положением в бюрократической иерархии, внутренними конфликтами и критикой деятельности Дома искусств представителями художественной среды.

The article explores the relations between the authorities and the intelligentsia during War Communism in the Petrograd House of Arts case. It reveals the reasons for the decline of the House of Arts as Gorky’s project to unite the artistic intelligentsia. The paper argues that the organisation’s fall was caused by its uncertain position in the bureaucratic hierarchy, inner conflicts and criticism of the House of Arts by the artistic environment more than repressive state measures.
«У каждого своя история...»: школа и детство в памяти немцев-спецпоселенцев Казахстана (1950—1960-е годы) по материалам устной истории
Authors: Лиценбергер О. , Мусабекова Р.
Published: January 2025

На основании проведенных устных интервью и материалов государственных архивов казахстана авторы анализируют особенности школьного обучения и социализации детей депортированных российских немцев, родившихся в казахстане в период спецпоселения, в 1941— 1955 годы. в статье рассматривается влияние дезориентации темпорального слома, идеологии советской школы и социальных потрясений на немецких детей. как показывают материалы интервью, восприятие времени и жизненные истории немецких детей, родившихся в казахстане и уже не испытавших на себе в полной мере тяготы и лишения депортации, порой противоречат национальному нарративу и не всегда вписываются в концепцию исторической травмы.

Based on oral interviews and materials from Kazakh state archives, the authors analyze the specifics of schooling and socialisation of children of deported Russian Germans born in Kazakhstan during the period of special settlement, 1941—1955. The article examines the impact of temporal disorientation, Soviet school ideology and social upheaval on German children. As the materials of the interviews show, the perceptions of time and life stories of German children born in Kazakhstan in the 1950s, who no longer experienced the hardships of deportation, sometimes contradict the national narrative and do not always fit into the concept of historical trauma.
Rare complication of acute transient parotitis after arthroscopic rotator cuff repair: a case report
Authors: Yoon Ji Young , Chun Sang Ok , Oh Joo Han , Jeon Young Dae
Published: January 2025

Acute postoperative parotitis, also known as anesthesia mumps, involves transient inflammation and enlargement of the parotid gland after general anesthesia. No case reports of acute postoperative parotitis after arthroscopic shoulder surgery have been reported to date. Therefore, we share our experience with a recent case of acute postoperative parotitis as a rare complication of arthroscopic rotator cuff repair in lateral decubitus position. Symptoms can be unilateral or bilateral, painless, and often resolve spontaneously within hours or days; in rare cases, such as upper airway obstruction, the condition can be fatal. Treatment options for parotitis vary from conservative to surgical depending on severity, and outcomes also vary. Therefore, orthopedic surgeons should be aware that this rare complication can occur after surgery, and patients should be warned before surgery.
Hyperspectral Mineralogical Characterization for Geometallurgy
Authors: Voisin A Leandro
Published: January 2025

The integration of hyperspectral characterization into the mining industry represents a transformative shift in
how mineralogical and geometallurgical data are utilized for exploration, processing, and operational optimization.
This review highlights the advancements in hyperspectral imaging technologies and their applications, including
mineral identification, core logging, ore sorting, and geometallurgical modeling. Technologies such as HyLogger,
Corescan, and SisuRock have proven instrumental in capturing spectral data across VNIR, SWIR, and TIR ranges,
enabling detailed mineralogical mapping and enhanced process control. Case studies demonstrate the effectiveness
of hyperspectral techniques in predicting key variables such as grinding media consumption, tailings rheology,
and ore classification, with notable contributions from advanced spectral databases like TSG and HIDSaG. Despite
challenges, including data variability and integration into workflows, the combination of hyperspectral imaging
with machine learning offers significant opportunities to improve decision-making and sustainability in mining
operations. This review underscores the importance of hyperspectral characterization as a critical tool in addressing
the complex demands of modern mining.
Laudate Deum, os dois Franciscos e a esperança escatológica
Authors: Souza Alex Brito de , Ferreira Cristiano Pesset , Nazareth Joelson da Cruz
Published: January 2025

Este artigo procura relacionar três textos-base: O “Cântico das Criaturas”, poema em forma de oração composto por São Francisco de Assis, a “Exortação Apostólica Laudate Deum”, publicada pelo Papa Francisco, e o trabalho do Dr. Cesar Kuzma acerca da esperança escatológica, contido em seu livro com o título “O Futuro de Deus na Missão da Esperança”. A relação que existe entre estes textos é justificada por meio da ligação que fazem entre a importância da responsabilidade dos que creem diante da preservação da vida e de outros problemas mundiais e a esperança escatológica que os cristãos devem nutrir para que expressem uma práxis responsável de sua fé. O objetivo do presente trabalho é levar o leitor a uma reflexão sobre a práxis que surge da esperança escatológica responsável com a casa comum. A metodologia utilizada será a comparação textual, com o recurso da intertextualidade. É ressaltado em conclusão, que a crise climática mundial requer um profundo e urgente engajamento de todos os seres humanos no sentido de se evitar uma catástrofe irreversível.
KNOWLEDGE, ATTITUDE AND PRACTICE OF NURSES REGARDING POST-OPERATIVE PAIN MANAGEMENT AT THE HOSPITAL
Authors: DIN SU , SADDIQUE H , TASNEEM SS
Published: January 2025

Post-operative pain management is a critical aspect of nursing care that significantly impacts patient recovery and satisfaction. In resource-limited settings like Pakistan, nurses often face challenges due to inadequate training, limited resources, and cultural misconceptions, leading to gaps in effective pain management practices. Objective: This study aimed to assess the knowledge, attitudes, and practices of nurses regarding post-operative pain management in a tertiary care hospital in Pakistan. Methods: A descriptive cross-sectional study was conducted among 140 nurses working in surgical wards, ICUs, and postoperative units. Participants were selected through convenience sampling, and data were collected using a structured, prevalidated questionnaire. The questionnaire included sections on demographic information, knowledge, attitudes, and practices related to post-operative pain management. Data were analyzed using SPSS version 26, with descriptive and inferential statistics employed to summarize findings and identify associations. Results: The study revealed moderate knowledge levels among participants, with 56.4% recognizing the appropriate use of opioids for pain relief and 50% agreeing that increasing analgesic doses may indicate psychological dependency. Positive attitudes toward pain management were noted, with 37% acknowledging the effectiveness of non-pharmacological interventions. However, gaps in practices were evident, with only 42.9% consistently using pain assessment tools. Education and experience significantly influenced knowledge and practices (p < 0.05).Conclusion: While nurses demonstrated adequate knowledge and positive attitudes, significant gaps in practices and specific knowledge areas were identified. Targeted training programs, policy reforms, and culturally sensitive educational interventions are essential to enhance pain management competencies among nurses and improve patient outcomes in surgical settings.
Croatia: The Long and Winding Road Towards Compliance With the EU State Aid Law
Authors: Kovačević Nataša Žunić , Gadžo Stjepan
Published: January 2025

This chapter examines the evolution of state aid and subsidy policies in Croatia against the backdrop of the European Union (EU) law. In doing so, it aims to contribute to the broader discussion on the convergence of state aid practices within the EU. It emphasises how the EU accession process impacted Croatia’s subsidy landscape. Three distinct stages in Croatian subsidy policies are identified: pre-Stabilisation and Accession Agreement (SAA) era, the accession period marked by alignment with EU competition policy, and the post-accession stage where Croatia shares competence with the EU institutions. The chapter describes the challenges, legal reforms, and achievements of Croatia in aligning with the EU state aid law. On analysing Croatian policy and practice in the area of subsidies, it concludes that a remarkable degree of compliance with the EU law has been achieved. Conversely, there exists plenty of room for improvement from an economic perspective, given that Croatia still has an unfavourable state aid structure and a substantial total aid expenditure relative to its GDP.
Czech Republic : Limited Constitutional Fiscal Policy and Public Finance Regulation
Authors: Radvan Michal , Eva Tomášková
Published: January 2025

This chapter focuses on the fiscal policy in the Czech Republic. It introduces the theoretical approach to public finance according to leading authors and experts in the field. From the legal perspective, it is necessary to highlight the constitutional foundations of public finance and budgetary institutions. However, public finance does not have a crucial role in the Czech Constitution and is not regulated in the Constitution in detail. The following section deals with the budget law, which is strongly connected to state fiscal policy. While fiscal policy as such is the responsibility of the entire government, the central state body upon which attention is focused in the area of public budgets is the Ministry of Finance. The most important laws in the area of fiscal policy include laws on the state budget and budgetary rules for the state budget and local self-government budgets. These are complemented by laws on the issuance of state bonds and the state bond programme. Most recently, the Act on the Rules of Budgetary Responsibility was introduced to regulate fiscal policy. The chapter presents several insights into state debt issues and fiscal deficits. It also analyses the Czech Republic’s crisis management in the context of crisis management at the European Union level. Finally, the main findings are summarised, and several de lege ferenda recommendations are offered.
Hungary: Regulation of Sustainable Fiscal Policy in Hungary
Authors: Nagy Zoltán
Published: January 2025

This chapter presents and analyses the issue of sustainable fiscal management, focusing on the Hungarian budget. Sustainable fiscal management is closely linked to the principles of the European Union (EU); to this end, fiscal policy focuses on the issues of budget deficit and public debt. Adopting this perspective, this chapter presents the Hungarian fiscal framework and examines the rules and institutions that ensure the implementation of EU principles. As the debt of local governments forms part of public debt, the chapter analyses the issue of local government management, demonstrating the limits of excessive indebtedness. Fiscal policy must respond to economic changes; thus, this chapter also describes the fiscal policy instruments used during the economic crisis, which can be applied in accordance with the budgetary rules for dealing with exceptional situations.
The Relationship Between Market Sentiment and Stock Market Volatility
Authors: Sun Yuchen
Published: January 2025

Since the Shanghai and Shenzhen stock exchanges were launched in 1990, Chinas stock market has undergone more than three decades of development. During this period, it has experienced several episodes of instability, including multiple stock market crashes. When a crash occurs, market panic often exacerbates declines in stock prices, creating a vicious cycle. To explore the relationship between market sentiment and stock market volatility, this paper conducts a regression analysis of investor sentiment indicators and market volatility over a five-year period from September 2018 to August 2023. The study finds that, after accounting for the impact of macroeconomic indicators, there is a significant positive correlation between investor sentiment and stock market volatility. This relationship holds across multiple indices, including the Shanghai Composite Index and the Shenzhen Component Index, demonstrating the robustness of the results. The analysis consistently finds a significant positive correlation between investor sentiment and stock market volatility across multiple regression tests.
The Impact of Electricity Supply and Demand on Carbon Prices: Evidence from China
Authors: Ye Zhou
Published: January 2025

China, the worlds largest emitter of greenhouse gases, aims to achieve carbon neutrality by 2060, having already established a unified carbon market in 2021 following regional pilot markets that provided insights into carbon pricing mechanisms. This study addresses gaps by analyzing the impact of national electricity generation and industrial electricity consumption on carbon prices before the national market was established, using data from six provinces and applying multivariate regression models to explore the influence of electricity variables, GDP, and regional factors. Key findings indicate that both national electricity generation and industrial electricity consumption are positively correlated with carbon prices. Significant regional disparities are observed, with first-tier cities such as Beijing and Shanghai showing a stronger link between electricity generation and carbon prices compared to non-first-tier cities. Additionally, the influence of GDP on carbon prices varies across different models. These findings provide important insights for optimizing Chinas national carbon market, especially considering the 2060 carbon neutrality goal. This study contributes to the literature by filling the gap in understanding how electricity demand and supply impacted carbon pricing in Chinas pilot markets, offering valuable lessons for policymakers to enhance the national carbon trading system.
Differences and Commonalities in the Marketing Strategies of Chinese and Korean Entertainment Companies
Authors: Fan Qiyan
Published: January 2025

The K-pop trend is currently experiencing a global explosion, and China's entertainment sector is growing at a tremendous pace as well. In order to support the long-term development of China's entertainment industry and establish cultural exports on a stable foundation, this paper will employ research methods such as SWOT and PEST models to analyze the factors contributing to the success of the Korean entertainment field, highlighting key distinctions between the two nations' entertainment industries. Furthermore, it will provide some recommendations for Chinese entertainment companies in the direction of the 4Ps, such as increasing the frequency of official production and sales of celebrity-related merchandise and selecting talent from around the globe. This research aims to offer strategic guidance for China's entertainment industry by identifying key factors behind Korea's global success, helping to enhance China's cultural influence and soft power. By analyzing the differences between the two industries and offering practical recommendations, this study seeks to contribute to the long-term development and international competitiveness of China's entertainment sector, promoting sustainable cultural exports and global market presence.
An Analysis of the Application and Impact Mechanisms of Machine Learning in the Field of Asset Pricing
Authors: Li Motong
Published: January 2025

Issues related to asset pricing and return forecasting have consistently been prominent research topics in both the financial industry and academia. With the rapid advancement of science, technology, and artificial intelligence, machine learning has garnered extensive attention from scholars for its robust self-learning and adaptive capabilities, as well as its exceptional advantages in large-scale data processing. This paper provides a detailed overview of the application of emerging machine learning methods in asset pricing and offers an in-depth analysis of machine learnings contributions to this field based on existing research. This research finds that machine learning has introduced profound changes and progressive innovations in asset pricing models. Additionally, this paper examines the limitations of machine learning methods, objectively highlighting current shortcomings such as poor interpretability and model overfitting. Finally, this paper proposes future directions for improving machine learning models to advance the financial field further.
The Influence of AI in Marketing
Authors: Wang Shuo
Published: January 2025

The advent of Artificial Intelligence (AI) in marketing has sparked a transformative change. This paper delves into the burgeoning application of AI in marketing, examining its potential to enhance efficiency and sales while addressing the associated ethical concerns and customer privacy issues. Despite the potential drawbacks, such as data privacy violations and the erosion of consumer autonomy, the study explains the benefits of AI in personalizing customer experiences and streamlining decision-making processes, which can bolster customer satisfaction and drive sales performance. The research reveals that while AI may initially lead to dissatisfactory customer experiences and demotivation due to discriminatory classification, strict regulations and company controls can mitigate these issues, fostering trust and enhancing the benefits of AI in marketing. The paper also discusses the impact of AI on consumer autonomy suggesting that AI can facilitate more efficient decision-making without compromising consumer choice. The paper concludes that the integration of AI in marketing, when managed responsibly, can lead to a more personalized and efficient customer experience, resulting in increased purchase intentions and improved sales outcomes. It calls for future research to investigate the impact of customer characteristics on AI-assisted experiences and decision-making, the alignment of AI intelligibility with customer preferences, and the implementation of ethical programs in AI marketing.
Opportunities and Challenges for UnitedHealth Group in the Global Health Insurance Industry: A SWOT Analysis
Authors: Liu Wanying
Published: January 2025

The Optimizing United Health Group (UHG) is a unique forerunner in the global health and welfare company that offers an escalating range of both health insurance and alternative services through its two major business segments, United Healthcare and Optum. UHG is one of the two largest health insurance companies in the world, and its business field also faces great opportunities and challenges. To this end, we undertake a comprehensive SWOT analysis focused on internal company strengths and weaknesses but also external environment opportunities and threats as UHG extends innovation in the changing healthcare environment. Overall, this analysis indicates that UHG could continue to be able to grow and develop new services as it has a strong position in the market, strong financial resources, and diversity of service portfolio. At the same time, it faces stiff challenges to further growth in its over-reliance on the US market. high operating costs and risks to brand reputation. The paper also highlights the external opportunities, e.g., the fast-growing digital health market, rising global medical demand, and aging population cohort, alongside some of the challenges the telehealth industry is currently facing (e.g., a competitive market, changing policies, and threats to cybersecurity). UHG will face the opportunity of international expansion and lead the innovation in digital health services while using its strengths and covering for its weaknesses. In conclusion, the recommendation part of this paper speaks to how UHG can utilize these specific strategies to improve the organization's competitive positioning and increase product innovation in an extremely dynamic global healthcare market.
The Motivations for Using AI Voice Assistant: A Systematic Literature Review
Authors: Yao Xikai
Published: January 2025

Artificial intelligence voice assistant (AIVA) is playing an increasingly important role in our daily lives and their use is gaining popularity. A growing number of academic studies have focused on the motivations for using AIVA, however, most of these studies focus only on a single motivational factor. Therefore, aiming to form an AIVA-targeted motivational model, this study conducted a systematic literature review of the existing literature and summarised a four-dimensional motivational model, i.e., the pursuit of functionality and efficiency, the need for positive emotions, the social value-seeking, and individual traits. This study expands the motivational theories of AIVA use and inspires future research directions, as well as providing ideas for the development of AIVA technology.
The Impact of ESG Ratings on Corporate Social Responsibility Across Regions and Industries
Authors: Li Duruo
Published: January 2025

As climate change and escalating environmental challenges intensify globally, the responsibility for sustainable practices increasingly falls on business enterprises in addition to governments. This paper explores the multifaceted implications of Environmental, Social, and Governance (ESG) ratings, particularly focusing on their relevance across various industries. While sustainability is a key concern, it is essential to consider broader issues such as human rights in the workplace, workforce rights, and the social impact of corporate activities on local communities and nations. Effectively balancing these social responsibilities with sustainable business practices is critical for sound corporate governance. Despite a wealth of literature examining the significance of ESG ratings in diverse contexts, questions remain regarding their applicability and meaningfulness across all business activities. Utilizing a comprehensive literature review, this study aims to elucidate the role of ESG ratings in driving responsible corporate behavior and their implications for various sectors. Ultimately, this paper seeks to provide insights into how companies can better integrate ESG considerations into their operational strategies, thereby enhancing their contributions to sustainable development and societal well-being.
ESG Risk Assessment in the Aviation Industry: A Comparative Analysis of Airbus, Boeing, and Bombardier's Financial and Sustainability Strategies
Authors: Feng Zixuan
Published: January 2025

This report examines the impact of Environmental, Social, and Governance (ESG) risks, particularly climate-related risks, on the financial performance of three major players in the aviation industry: Airbus, Boeing, and Bombardier. The aviation industry, responsible for approximately 2-3% of global carbon emissions, faces increasing pressure to adopt sustainable practices. The report explores how Airbus has positioned itself as a leader in sustainability with initiatives such as zero-emission aircraft and sustainable aviation fuels (SAF), while Boeing continues to grapple with financial and operational challenges. Bombardier, though smaller, has made strides in sustainable technologies in the luxury aviation market. Through financial analysis, including Capital Asset Pricing Model (CAPM) and Fama-French Three-Factor Model, the report compares risk-return profiles of these companies and constructs portfolios to assess their market performance. The findings indicate that proactive ESG strategies, particularly in green technologies, are linked to stronger financial stability and investor confidence. The report also suggests that diversification, incorporating assets like gold and Bitcoin, can help manage aviation sector-specific risks while addressing ESG concerns.
Research on Titanic Survival Prediction Based on Machine Learning Method
Authors: Liao Yicui , Zhang Shimiao , Zhang Zixin
Published: January 2025

On April 15, 1912, the British luxury passenger ship Titanic sank on its maiden voyage from Southampton to New York because of a collision with an iceberg, resulting in the death of 1502 out of 2224 passengers and crew. This article gains insight into the factors that influence the survival rate of passengers on the Titanic and establish a model of hard voting consisting of logistic regression, random forest and decision tree to predict what sort of people are more likely to survive in this catastrophe. The process involves dealing with the missing values, creating new variables by feature engineering and fitting the model to the dataset. The overall model performs well accuracy 87.64%. By applying to the navigation field, more data can be collected and more precise predictions can be made. The results can also help individuals to predict risk factors and try to decrease them as much as possible while robustness and stability of the model still need to be refined.
The Dual Impact of Multinational Corporations: Drivers of Growth and Challenges to Sovereignty in a Globalized Economy
Authors: Liu Yitong
Published: January 2025

This paper explores the rise, influence, and challenges of multinational corporations (MNCs) in the context of globalization. It examines how MNCs, as key drivers of global economic integration, have reshaped international production structures, trade, and investment flows. While MNCs contribute to technological advancements, foreign direct investment (FDI), and employment opportunities, their structural power poses significant challenges to host economies. These include monopolistic practices, tax avoidance, environmental degradation, and threats to national sovereignty and global equity. The dual impact of MNCs highlights the need for balanced governance mechanisms. On the one hand, host nations must leverage the benefits of MNC activities to stimulate economic development. On the other hand, stronger international regulations are essential to mitigate negative externalities, ensure corporate accountability, and promote sustainable practices. By addressing these issues, the global community can harness the potential of MNCs to foster inclusive growth and sustainability while safeguarding the interests of host countries.
Perancangan Website Desa Wisata Claket Pacet Mojokerto Sebagai Media Informasi Dan Promosi
Authors: Novan Andrianto
Published: January 2025

This article delves into the in-depth design and development of the official website for Claket Tourist Village in Pacet, Mojokerto, accessible through www.desawisataclaket.com. Recognized as a crucial component in advancing and communicating the tourism destination, the website plays a pivotal role. Its design process involves the application of Design Thinking, with a primary focus on user experience. The main objective of this website is to provide comprehensive information about tourist attractions, local cultural richness, accommodation options, culinary delights, and cultural event schedules in Claket Tourist Village. Through a creative approach, appropriate color usage, and tailored font types, the website aims to be a highly effective tool in introducing Claket Tourist Village to potential visitors. More than just an information platform, the website is considered a bridge connecting visitors to the natural and cultural heritage of Claket Tourist Village. Therefore, it not only delivers positive benefits to visitors but also contributes positively to the local community. Consequently, it is anticipated that support for the development of the tourism sector in the region will increase, creating sustained positive impacts for Claket Tourist Village and its residents.
Implementasi Teknologi IoT pada Aplikasi Pencarian Lokasi Calon Penumpang dan Angkutan Umum (Studi Kasus Koperasi Bina Usaha Transportasi Republik Indonesia)
Authors: Putri Kamaliyah Kirana Dewi  , Pikir Wisnu Wijayanto  , Bayu Rima Aditya
Published: January 2025

This community service activity was carried out to respond to the decline in public interest in public transportation due to concerns about crime, limited route information and uncertainty about departure times. In addition, income inequality between transportation owners and drivers also exacerbates the problem of clarity of information. This activity focuses on applying Internet of Things (IoT) technology to overcome these problems by developing a location search application for prospective public transport passengers. This application utilizes Bluetooth Low Energy (BLE) devices as an IoT technology. BLE devices are installed on public transport vehicles to enable real-time location tracking. BLE technology was chosen because of its low energy consumption, adequate communication range, and ability to interact with users' mobile devices. Users' information collected by BLE devices is sent to a central server, which then processes and presents the data to users via a mobile application. The main objective of this activity is to develop and evaluate IoT-based applications. The methodology includes descriptive and qualitative approaches, with data collection techniques through observation, interviews and documentation studies. The results of implementing IoT technology in location search applications show significant benefits. This application increases the efficiency of public transport management by providing real-time information regarding routes and departure schedules. Additionally, customer satisfaction increases as passengers can better plan their trips. The app's "Emergency Call" feature also "helps reduce crime-related concerns and improves passenger safety. The app also provides easily accessible route information and transparency regarding drivers' daily earnings, helping minimize income inequality.
Meningkatkan Minat Baca Siswa SMK melalui Sosialisasi Budaya Literasi
Authors: Rektor Sianturi  , Juli Antasari Br Sinaga  , Gayus Simarmata  , Peniel Sam Putra Sitorus  , Jaya Tata Hardinata
Published: January 2025

Amid the onslaught of technology and social media, vocational school students' interest in reading in Indonesia is still like a fading fire. Lack of access to books, minimal interest in reading, and an undeveloped literacy culture in the school environment are the dominant factors. This condition hampers the learning achievement and critical thinking abilities of vocational school students. The first step is to delve into the reading habits of vocational school students and the factors that influence them. The time has come for the promotion of literacy culture to be launched. Various interesting and interactive activities are packaged to attract the interest of vocational school students. Starting from counseling about the importance of reading, introduction to various types of books, to discussions and reading competitions. This is clear evidence that the socialization of literacy culture is able to revive interest in reading among vocational school students. This research concludes that literacy culture socialization is an effective way to increase vocational school students' interest in reading. Sustainable efforts are needed to instill a culture of literacy in the school environment, involving collaboration between schools, parents and the community.
Pemberdayaan Masyarakat Petani Bawang Merah melalui Pengolahan Bawang yang Tidak Terjual Menjadi Bawang Goreng
Authors: Iis Komariah  , Anton Anton  , Acep Rahmat  , Fiqra Muhamad Nazib
Published: January 2025

Shallots are one of the horticultural commodities that are really needed by the community, where this red onion commodity has become a source of income and employment opportunities and has made quite a high contribution to the economic development of a region, especially in several regions in Indonesia, especially the West Java region which is one of the largest producers of shallots. Several areas that have great potential, such as Garut, Cirebon, Majalengka and Bandung, are producers of shallots in West Java. On this occasion, we carried out service that focused on the Garut district area where shallot farming is the largest area managed by the people of Garut district. The aim of the empowerment carried out is to use unsold shallots into a fried onion production business to improve the community's economy, which is carried out through analyzing problems in the field, gathering farmer residents, providing counseling, technical training and assistance on how to process raw shallots into fried onions. has economic value so that a processing method that is effective, efficient and has high selling value is found as people's need for fried onions continues to increase.
Efektivitas Honeynet dalam Mendeteksi Serangan Siber
Authors: Sugiyatno Sugiyatno , Didik Setiyadi
Published: January 2025

Various cyberattack threats are sophisticated and reliable detection approaches, as complex and rampant as they are. One outstanding approach is the use of Honeynet, a network simulator that simulates real networks for analysis and detection purposes. This study aims to compare the effectiveness of Honeynet in detecting spyware with alternative detection methods. We conducted experiments where we implemented Honeynet in a simulated network environment that breaks the real network infrastructure. Other detection methods we reference include intrusion detection systems (IDS) based on hands and behaviour. In addition, we also analysed the types of spam most frequently detected by Honeynet. We can identify the most common trends and their characteristics by analysing the attack test results. The research findings show that Honeynet is very effective in detecting certain cyberattacks, especially zero-day attacks and attacks that use new methods that have not been detected by known signatures. However, we also found that behaviour-based detection methods tend to be more effective in detecting attacks that are novel and unexpected
Analisa Penggunaan Hasil Pembangunan KRI Alugoro-405 di Galangan PT. PAL Surabaya untuk Mendukung Operasional Kapal Selam TNI AL
Authors: Alfredo Panataran Purba  , Firman Johan  , Ugik Cahyo
Published: January 2025

The current condition of KRI Alugoro-405 after completion of its construction in 2019 by PT PAL and DSME is that there are corrosion problems on the ship's body, HVAC air humidity system and electrical problems. it is necessary to analyze the root causes of these problems. As an analytical approach, the researcher adopts a descriptive qualitative method to produce a more in-depth and flexible research to find out the root causes of technical problems that occur by processing data using the Nvivo application. Also carried out a strategy analysis to measure the strengths and weaknesses of using the results of the construction of the Kri Alugoro-405 submarine using SWOT analysis. the types of data used in this study include primary data through interviews and observations and secondary data obtained from documents. The results of this study include 1) Corrosion on KRI Alugoro-405 is caused by coating applications and construction designs that are not in accordance with standards and lack of protection by cathodic protection systems. 2) Problems with the HVAC system are caused by sub-optimal design and insufficient diameter of the battery room ventilation branches. 3) In the electrical system, there were voltage spikes in the AC network and voltage distortions due to connected loads, such as inrush current and harmonics, as well as insulation problems in the DC-AC converter.
Klasifikasi Kanker Payudara Menggunakan Algoritma K-Nearest Neighbor dan Metode Naive Bayes
Authors: Tresi Aprilia
Published: January 2025

Breast cancer is one of the diseases that causes death and is one of the most frightening leading causes worldwide. This disease falls under the category of highly dangerous cancers, ranking second after lung cancer. Breast cancer cases occur in large numbers across various regions of the world, raising significant concerns globally. Breast cancer not only affects the quality of life of patients but also contributes significantly to the global cancer mortality rate. It ranks as the fifth leading cause of cancer-related deaths, accounting for approximately 16.6% of the total cancer deaths worldwide. In this study, a classification of blood sample data from breast cancer patients was conducted. Various classification techniques and methods were applied, including the K-Nearest Neighbor (KNN) method and Naïve Bayes (NB). To achieve accurate results, this study tested accuracy using Cross Validation techniques and a Confusion Matrix to evaluate the test data. Of the total 569 data points collected, 70% were used as training data, amounting to 398 data points, while the remaining 30%, or 171 data points, were used as test data. The results of this study showed that the Naïve Bayes method produced an accuracy rate of 96%, with a precision of 94% and a recall of 91%. On the other hand, the K-Nearest Neighbor method yielded a lower accuracy rate of 73%, with a precision of 74% and a recall of 66%, using K=7.