Search all articles

+ Advanced search
Search articles within:
213453 articles

Tchaikovsky’s Last Three Symphonies and Sexism

Yan Wang
Tchaikovsky’s symphonic works enjoy a pivotal position in symphonic poetry. Not only influenced by Western musicians such as Schumann and Debussy in the same period, his compositions also incorporate the unique stylistic characteristics of the Russian nation. As one of the great Russian composers, Tchaikovsky’s...
Proceedings Article

An analysis of hot topics in employee engagement research in China

Kun Qian, Qian Li
Under the background of economic globalization, enterprises are facing unprecedented competitive pressure, and talents play a vital role in enhancing the competitiveness of enterprises. However, some companies often have problems such as lack of motivation for young and highly educated employees. This...
Proceedings Article

The Effect of Feeding Sea Rabbit-Papaya Naget Cakes on Learning Achievement and Hb Levels in Children Primary School for Stunting Suffering - Lack of Nutrition in Bajo Indah Village, Soropia District

Sultan Akbar Toruntju, Kameriah Gani, Sirajuddin Sirajuddin, Evi Kusumawati
Stunting is one dietary issue that affects many elementary school students. Children’s health and academic achievement are significantly impacted by stunting in elementary school students. Finding out how providing papaya and sea rabbit fruit cakes affects learning outcomes and hemoglobin levels in undernourished...

An Empirical Analysis on the Portfolio of Transnational Auto Market Based on ARIMA-LSTM

Yiping Hong
Due to the rise of raw material prices, the reduction of automobile production capacity caused by COVID-19, the trend of global electrification and other factors, the investment in transnational automobile stocks has gradually become a new target for global investors. Because the general stock price...

A Value Chain Analysis of Rice Commodity: Value Addition and Develop Strategies

Shinta Amelya Sandra, Wisynu Ari Gutama, Destyana Ellingga Pratiwi, Anni Rahimah
Uncertainties in rice demand and supply has been impacted market price and simultaneously to each main actors marketing margin. Taking consciousness to the phenomenon, recent study was organized in order to serve a proper explanation of current rice marketing channel activity, involving its value addition...
Proceedings Article

Analysis and Study on the Effect of Exploration and Treatment on the Ground Area of Limestone Water Damage in Underground Roadway Floor

Jianxiang Wang, Shuai Wang
In recent years, the use of surface directional multi-branch near-horizontal boreholes for regional exploration and prevention of Ordovician limestone water hazards has emerged as a new technology in the Huainan mining area. This paper takes the example of the ground regional exploration and treatment...

Chinese University Students’ Perceptions of the Impact of a “Standard” English Accent on Classroom Participation in TESOL Classrooms

Shidi Zhang
This study uses a questionnaire-based methodology to investigates the effects of Chinese university students’ view of a “standard” English accent on their classroom involvement and future professional growth. The research finds that learners’ perceptions of Standard British English (SBE) and General...

Digital Transformation and Audit Fees: Evidence from Innovation Investment and Risk Exposure

Yihan Sun
Against the backdrop of the rapid development of the digital economy, the impact of corporate digital transformation on audit pricing has attracted increasing academic attention. Using A-share listed firms in China, this paper examines the relationship between digital transformation and audit fees, along...

Strengthening Literacy and Independence in Learning the Era of Independent Learning: A Multi-site Study on Homeschooling Sinta and Sumardiono Jakarta

Djalal Fuadi, Irfan Wahyudi, Naufal Ishartono, Wafroturrohmah, Achmad Fathoni
This study aims to describe improving literacy skills and forming learning independence in two single homeschooling. This research uses qualitative methods with a phenomenological approach. Data collection methods are carried out through in-depth interviews, observations, and documentation. The data...

Boosting the Mosque Management During COVID-19 Pandemic

A Case Study

Mochammad Arif Budiman, Andriani Andriani, Mairijani Mairijani, Sari Hepy Maharani
The purpose of this article is to explain the mosque management during the COVID-19 pandemic which specifically discusses the Al-Muhajirin Mosque in Banjarmasin as a case study. This study uses a qualitative approach with data collection methods in the form of interviews, observations, documentation,...
Proceedings Article

Research on Anti-Weathering Coating for Reinforced Concrete pole

Xinmei Li, Luning Zhang, Yanjiang Bu, Zhongwen Zhang, Shuai Suo, Wen Li, Tianxiang Xue
The concrete pole of the early construction of the transmission line has weathered and cracked on its surface after long-term operation, and the surface concrete will break and fall off with further development, resulting in the decrease of the bearing capacity of the concrete pole. The anti-weathering...

Increasing Teachers’ Capabilities in Developing WordWall Interactive Learning Media Through Continuous Training

Ulfa Khoirotul Rosidah, Wiwik Wijayanti, Mulyani, Yohan Mahendra
The use of media plays an important role for teachers in learning. However, currently the teacher’s knowledge and ability to make interesting variations of learning media is still limited. For this reason, action is needed to improve the ability of teachers to develop learning media, one of which is...

Mathematical Mastery in the Digital Age: Insights from Student Perspectives and Course Performance

Sahat Pandapotan Nainggolan, Junita Amalia, Regina Ayunita Tarigan
This survey research aimed to identify the factors that influence student learning outcomes in the online Fundamental Mathematics I course at Del Institute of Technology during the odd semester of the 2022/2023 academic year. The study used a quantitative approach and a questionnaire as a data collection...

Teacher Quality Improvement Strategy at SDIT Permata Mojokerto

Lusiana Hadi Febrianty
The purpose of this paper is to identify the implementation of strategies to improve the quality of educators in the Mojokerto Integrated Islamic Elementary School Educational Institution. A literature review has been carried out on school vision as a reference in improving the quality of education....
Proceedings Article

Technological Advances to Achieve Sustainable Agriculture and Global Food Security

L. Narasimha Rao, P. Aravind Swamy, Srinivasa Rao Narra, S. Arun Kumar
While technological changes in the 21st century have taken over as promoting factors for sustainable agriculture to global food security, it’s high time the skilled youth joined in to effectively utilise such innovations in modern agriculture and food systems. While the country enjoys a major demographic...
Proceedings Article

Uplift Testing of Rock Anchors for Transmission Towers in Basaltic Formations of Inner Mongolia

Getu Niu, Wei Li, Yin Man, Xin Zhang, Rengaowa Sa, Duo Li, Jianchun Nie, Yifeng Yang
To address the uncertainty regarding the applicability of rock bolt foundations in the vesicular basalt formations of the Ulanqab-Hohhot region in Western Inner Mongolia, this study selected a typical site with highly to moderately weathered basalt. Ten in-situ static uplift load tests on single rock...
Proceedings Article

Improved Machine Learning-based System for Intrusion Detection

Jiarui Feng
In addressing the growing cyber threats prevalent in the digital age, this research presents Machine Intrusion Detection System Based on Learning (MLIDS), an innovative system for detecting intrusions that harnesses the power of deep learning through the integration of a Multi-Layer Perceptron (MLP)....

Creative Economy in a Pandemic: The Effectiveness of Moderation of Digital Transformation in Culinary SMEs in Langsa Aceh

Nasrul Kahfi Lubis, Muhammad Rizqi Zati, Dhian Rosalina
This study examines the effectiveness of digital transformation of SMEs engaged in the culinary sector. Culinary tourism in Langsa City continues to grow, with a wide market ranging from students, and households, to industry causing many culinary destinations such as traditional and modern cafes to get...

Does Warrant Strategy Along with IPO Provide Better Performance?

Yuli Soesetio, Dyah Arini Rudiningtyas, Retno Nur Habibah
An Initial Public Offering (IPO) can provide limited benefits for companies in the short to medium term. This study aims to evaluate the use of the Package IPO (PIPO) and Shares-only IPO (SIPO) strategy that accompanies the IPO process of companies listed on the Indonesia Stock Exchange (IDX). The sample...

A Study on the Uneven Development of Regional Integration in the China’s Yangtze River Delta

Rongquan Yang, Yintong Zhang
With the support and transformation of the domestic and foreign economic dual circulation government work in the new era, accelerating the regional integration construction of the Yangtze River Delta is the same A key link. On the basis of various exchanges and cooperation between the government, enterprises...
Proceedings Article

Recent Advances in Ternary Blends of Nanocomposite and Their Impact on the Mechanical and Thermal Properties: A Review

Utkarsh A. Patil, Pravin R. Kubade
The numerous studies were performed on the polymer blends and their nano-composite, the sub-inclusion of nano-particles in the binary polymer blend modifies thermal and mechanical properties of the system. At the other hand, very few literatures are available in view of the ternary blends of polymers...
Proceedings Article

Meme-Integrated Deep Learning: A Multimodal Classification Fusion Framework to Fuse Meme Culture into Deep Learning

Xuxiang Deng, Yifan Liu, Qihao Yan
Memes are an important medium of expression in online communication, yet traditional methods such as collaborative filtering (CF) have limitations in processing multimodal data, especially when analyzing memes has limitations in processing large-scale datasets and are sensitive to data noise and sparsity....
Proceedings Article

A Direction for AI Education: An Investigation of Digital Skills among Undergraduate Students in Malaysia

Sian Hoon Teoh, Sharipah Ruzaina Syed Aris, Fazyudi Ahmad Nadzri, Sayang Mohd Deni, Siti Fairuz Dalim
The adoption of AI has heightened the significance of digital skills in education. Thus, by observing the level of digital skills and factors associated with their development, this study seeks to identify strategies for equipping undergraduate students with digital skills. Specifically, this study aims...

Cradle-to-Gate Life Cycle Assessment of Pineapple Leaf Fibres

An alternative to non-biodegradable PPE base materials

Putri Rizky Salsabila, Altair Boonraksa, Innamia Indriani, Sabrina Ilma Sakina, Benno Rahardyan
As the COVID-19 pandemic emerged in Indonesia, there had been a steep increase in the need for personal protective equipment (PPE). This phenomenon left a directly proportional yield in solid waste production by 30-50%, generating a total of 1,662.75 tons as of October 2020. However, the capacity of...
Proceedings Article

Bayesian MCMC Approach in Prognostic Modelling of Cardiovascular Disease in Malaysia: A Convergence Diagnostic

Nurliyana Juhan, Yong Zulina Zubairi, Ahmad Syadi Mahmood Zuhdi, Zarina Mohd Khalid
Most studies that considered the Bayesian Markov Chain Monte Carlo (MCMC) approach in prognostic modelling of cardiovascular disease were only focused on the application of the Bayesian approach in variable selection, model, and prior distribution choice. Yet rarely of these studies have explored the...
Proceedings Article

Smart EV Navigation and Data Collection System for Tree Based Data Modeling Using IoT

Wirarama Wedashwara, Heri Wijayanto, Andy Hidayat Jatmika, I Wayan Agus Arimbawa
Machine learning for autonomous can be done by recording the displacement and condition of the vehicle through manual control by humans and modeling the data. The research proposes designing a data collection system for tree-based data modeling on Internet of Things (IoT) based autonomous electrical...
Proceedings Article

Optimization of Spline Slip Surfaces Using Metaheuristic Search in LEM

Terence Ma, Brigid Cami, Sina Javankhoshdel, Brent Corkum, Thamer Yacoub
The search for the critical slip surface on a slope is an optimization problem whereby the factor of safety is minimized over a set of parameters which define the shape of the slip surface. In limit equilibrium slope stability analysis, traditional methods for searching for the critical slip surface...

Analysis of Macroeconomic Indicators That Affect Electric Vehicle Stock Market

Jiazhong Wang
The performance of an individual stock is exposed to both systematic and unsystematic risks based on economic indicators. Such indicators may directly or indirectly have drastic effects on the performance of an individual stock or the overall market. The stock market is an integral part of the financial...
Proceedings Article

Optimizing Ischemic Stroke Diagnosis: Enhanced Performance with MobileNetV2 in Automated Image Segmentation

K. Devi Priya, Boddu Jahnavi, Patibandla Savithri
Early identification of ischemic stroke leads to a speedy recovery from severe repercussions and irreversible brain damage. Stroke affects people differently, with varying experiences during the event and variable paths to recovery afterward. Radiologists utilize CT (Computed Tomography) scans to diagnose...
Proceedings Article

Enhancing Portfolio Efficiency with Mean-Shift Clustering

Ni Made Sri Kumala Dewi Oka, Komang Dharmawan, I G. N. Lanang Wijaya Kusuma
Mean-Shift Clustering, an unsupervised learning algorithm, facilitates the grouping of objects sharing similar characteristics without assuming a predefined number of clusters during the calculation. In the context of portfolio formation, investors seek groups of stocks across diverse sectors to construct...
Proceedings Article

Topic Mining of Economic and Trade Cooperation between Guangxi Province and ASEAN Countries based on LDA Model

Chunlan Li, Chongjian Song
The LDA Model is a topic model commonly used in natural language processing. It mines the topic in three steps. First, calculates the topics of each document in the document set in the form of probability distribution. Second, extracts the actual topics after analyzing those documents in the same subject....

Government Digital Payment and Marketplace (Digipay) in Indonesia: Problems and Solutions

Ima Putri Bruney, Lely Indah Mindarti, Endah Setyowati
The Ministry of Finance through the Directorate General of Treasury enacted a Money Supply (UP) policy through the Digital Payment and Marketplace (Digipay) mechanism on the work unit which aims to provide an efficient and effective payment system for government goods/ services expenditures, encourage...

Students’ Voices in Academic Writing Instruction: Artificial Intelligence (AI) Literacy and Challenges in a Cross-Cultural Setting of Indonesia and Timor-Leste

Ngasbun Egar, Siti Musarokah, Alfiah Alfiah, Marcos Taec Abi
The rapid integration of Artificial Intelligence (AI) into higher education has significantly influenced academic writing instruction. This study explores students’ voices regarding AI literacy and the challenges of using AI-based writing tools in academic writing within a cross-cultural context of Indonesia...
Proceedings Article

The Association Between Reproductive Health Knowledge and Marital Readiness in Adolescents

Dinni Randayani, Veronica Veronica, Legina Anggraeni, Moudy Emma Unaria Djami
Statistics reveal that 8.16% of Indonesian adolescents marry between ages 10–15, while 25.08% marry between 16–18 years. Marriage at these early ages poses significant reproductive health risks. According to the National Population and Family Planning Agency (BKKBN), Indonesian adolescents’ limited understanding...
Proceedings Article

Face Recognition Using ELM with ResNet50

Robins Anand, Tripti Goel
Facial recognition is a complex problem that has received a great deal of attention due to its numerous applications, including security, surveillance, and identification. In this study, we provide a novel method that combines the strength of the Extreme Learning Machine (ELM) algorithm with the ResNet50...
Proceedings Article

An Empirical Study on the Influence of Superior Developmental Feedback on the Emotional Labor Strategies of Bank Grassroots Employees: A Moderated Mediation Model of SPSS

Qi Li, Zhe Chen
With the advent of the digital transformation and the service economy era, the emotional labor of bank grassroots employees is a key factor affecting the quality of bank services and reputation. How to increase the deep acting of grassroots employees and reduce surface acting has become a real problem...
Proceedings Article

Effectiveness of the Effriction Method in Increasing Range of Motion (ROM) in Shoulder Injuries

Arif Setiawan
The aim of the research was to test the level of effectiveness of the effriction method in helping the recovery process increase the range of motion (ROM) of the shoulder joint in athletes or people who enjoy sports who have suffered sports injuries. The high percentage of shoulder injury cases was caused...

The Abolishment of Sexual Harassment in Higher Education for Green Dot for Colleges

Beni Kurnia Illahi, Annisa Salsabila, Ayu Anggraini
Based on direct complaints to the National Commission on Violence against Women from 2015 to 2020, the educational environment in Indonesia was not free from sexual harassment. This fact contradicted the right of everyone to be free from torture, which is normalized in Article 28G paragraph (2) of the...
Proceedings Article

Extraction of Bank Cheque Fields Based on Faster R-CNN

Hakim A. Abdo, Ahmed Abdu, Ramesh Manza, Shobha Bawiskar
The cheque field extraction is a critical step in automating bank cheque processing and is the first step in implementing a cheque recognition system. Many approaches for extracting the bank cheques components have been suggested. However, the complexity of the backdrop, the design variety of bank cheques,...

Opportunities and Challenges of Women Entrepreneurs Engaged in Biodegradable Products Business at Vellore District of Tamil Nadu State

K. Kalaivani, T. Bharathi
Role of women in the society has been seeing a paradigm shift ever since women became self-aware. More and more women today are moving out of their comfort zone and trying their hands at things no one ever measured they were capable of many women are stepping out of their homes into workplaces. “Women...

Tourist Satisfaction: The Influence of Tourist Attractions, Tourist Facilities, and Social Media Marketing

Rafiqi Dzil Fakari, Wheny Khristianto, Djoko Poernomo, Suhartono
Tourist destination managers must be prepared to face changes in tourist behavior caused by the rapid development of information technology in the Industrial Revolution 4.0 era. This study uses a quantitative approach that aims to investigate the relationship between tourist attractions, tourist facilities,...

Relationship Between Pre-Service Mathematics Teachers’ Attitudes Towards Statistics and Their Statistical Literacy

Sena Uludağ, Rıdvan Ezentaş, Çiğdem Arslan
The aim of this study is to examine the relation between the statistical literacy skills of pre-service mathematics teachers and their attitudes towards statistics. In the study, the relation between pre-service teachers’ statistical literacy levels and their gender, grade level, the courses they have...

K-Pop among Female University Students in Lima: A Study on Dance Learning and Cultural Influence through Music Videos

Sobrado Vela, Ada Luz, Vite Leon, Victor Omar, Poggi Parodi, Christiana
K-pop, known for its idols and iconic groups, has gained prominence worldwide, especially in Asia and Europe. This article focuses on the use of music videos as a tool for dance learning, specifically in Lima, Peru, to understand the perceptions and impact on the learning of culture among young K-Pop...
Proceedings Article

Molecular approach of Vulnerable Short-Toed (Centropus rectunguis)

Jessey Angat, Farida Zuraina Md Yusof
Using touchdown Polymerase Chain Reaction (PCR), this work intends to build a molecular sexing approach in 30 endangered Short-toed Coucals. This approach, which relied primarily on a non-destructive wing feather sample, allowed for the rapid and accurate determination of intron length in CHD1-Z (400 bp)...
Proceedings Article

Digital Intelligence in Maxillofacial Trauma and Oncologic Reconstruction: Current Trends and Clinical Outcomes — A Narrative Review

Akilan Akilan, Arjun Arjun, Pradeepa Pradeepa, Harshini Harshini, Swarnapriya Swarnapriya, Vijay Ebenezer
Intelligent computing, involving artificial intelligence (AI), machine learning (ML), deep learning, augmented reality (AR), and virtual surgical planning (VSP) has been an increasingly disruptive force in the field of maxillofacial trauma and tumour-related reconstruction. These technologies improve...
Proceedings Article

The Best Combination of Gas Sensor and Machine Learning Classification Algorithm in Detecting Mango (Mangifera indica L.) Quality

Joko Sumarsono, Murad, Ida Ayu Widhiantari, Syahroni Hidayat, Ulfah Mediaty Arief, Tatyantoro Andrasto
Mango is a climacteric fruit with high transpiration activity when it reaches physiological maturity due to ethylene gas production. As a result, the quality of mangoes varies from day to day. Mango quality can be determined non-destructively by using gas sensors and machine learning to detect the gas...

Dialectical Hermeneutics in the Participatory Artwork “Salting the Sea” by Irwan Ahmett and Tita Salina

Fransisca Retno Rahardjo, I Made Gede Arimbawa
Irwan Ahmett and Tita Salina are a pair of contemporary artists from the Visual Communication Design department at the Jakarta Institute of Arts. They are known for their innovative and bold works. Their creations often explore social and political themes using experimental visual strategies. Their creativity...

Corporate Governance Mechanisms and Integrity Disclosure: A Conceptual Model with Organizational Culture as a Moderator

Farah Amalin Mohd Noor, Roshima Said, Syahiza Arsad, Nur Aima Shafie
Corporate integrity and transparency are fundamental to fostering trust among stakeholders, yet many firms face challenges in ensuring adequate integrity-related information disclosure. Weak corporate governance mechanisms, particularly ineffective audit committees and ownership structures, contribute...

Beyond Bureaucracy: Applying Dynamic Governance for Citizen-Centric Service Delivery in Magelang City

Anton Purwadi, Natta Sanjaya, Sigid Widyantoro, Raytanza Iswadinata
Public sector reform increasingly acknowledges the necessity to progress beyond conventional bureaucratic frameworks towards more flexible, citizen-oriented governance. This research investigates the implementation of dynamic governance principles within a local public service initiative called “Si Bulan”...

Beyond the Black Box: A Triptych Framework for Ethical and Accountable AI in Human Capital Management

Gatot Kustyadji, Bambang Tutuko, Alfina Alfina, Afian Hanafi, Tony Febrianto, Rosswanti Putri Adi Agustini
This paper addresses the critical governance gap emerging at the intersection of Human Capital Management (HCM) and Artificial Intelligence (AI). While AI offers unprecedented efficiencies in talent management, its rapid, unregulated deployment has created a crisis of ethics and accountability, characterized...