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8121 articles
Proceedings Article

Development of “VoksConnect” as a Student Complaint Application with NLP Chatbot

Tegar Eka Pambudi El Akhsan, Hafizhuddin Zul Fahmi, Arfian Putra Pratama, Mohammad Avie Siena, Dodik Arwin Dermawan
This study aims to develop a web-based application for collecting complaints from the academic community at the Faculty of Vocational Studies. The Research and Development (R&D) method was employed, involving need analysis, application design, implementation, and evaluation. The application is designed...

A Study on the Development Path and Promotion Measures of E-CNY

Yufei Huang, Wenxu Qiu, Wenjun Yang, Yuhang Hou, Chunzan Peng
With the development of information science and technology, the digital economy has given the era a new direction. In 2014, the People’s Bank of China issued the first legal digital currency, the e-CNY. With the cumulative number of e-CNY transactions of about 264 million and the number of merchant stores...
Proceedings Article

How Corporate Data Factor Utilization Shapes High-Quality Development: Evidence from China’s A-Share Listed Firms

Qinyu Shi
Based on data from A-share listed companies spanning the period 2009–2023, this paper empirically examines the impact of corporate data factor utilization levels on high-quality development and its underlying mechanisms. The findings reveal that, amidst the vigorous expansion of the digital economy,...
Proceedings Article

Effectiveness of Blended Learning Approach in Achieving Clinical Competencies of Health Professions Students: A Systematic Review of Experimental Studies

Gideon Victor, Erika Sivarajan Froelicher, Abel Jacobus Pienaar
Multiple challenges to clinical education have occurred during and post-COVID-19 pandemic era. Blended learning is well-known for cognitive development. However, the role of blended learning for the development of clinical competencies is not clear. This review aims to evaluate the studies focusing on...
Proceedings Article

Correlation Analysis of HbA2 Levels with Erythrocyte Index in Beta-Thalassemia Patients at RSUD Dr. H. Abdul Moeloek Lampung Province in 2023

Putu Ristyaning Ayu Sangging, Fathan Qoriba, Hendri Busman, Khairunisa Berawi, Maulana
Thalassemia is a genetic disorder that cause impaired hemoglobin production. Hemoglobin gets destroyed dua to impaired synthesis of hemoglobin chains or globin chains. The purpose of this study was to explore the correlation between hemoglobin A2 (HbA2) levels and erythrocyte index in thalassemia patients...

Research on the Impact of Artificial Intelligence Penetration Rate on the Innovation Performance of State-owned Enterprises

Ye Huang, Yanling Sun
Using data on China’s state-owned A-share listed firms from 2013 to 2023, this study examines how AI penetration affects innovation performance. A two-way fixed-effects model is employed, with invention patent applications as the dependent variable and AI word frequency (via Python text recognition)...

Changing Trends and Challenges in Solid Waste Management in Chennai Metropolitan Area – An Empirical Evidence

R. Thamilmani, M. Saravanan
Solid waste management has been significant role of the urban development, because locality have been extending and merging between rural and urban areas is challenge nature in general, especially for urban is major causes and sustained of the solid wase management vital role and decided for the good...

Compensation in News Translation

Ninuk Sholikhah Akhiroh, M. R. Nababan, Riyadi Santosa, Djatmika Djatmika
Compensation is one of translation technique applied to overcome certain problems in translation process. Study on compensation technique was usually done on literary translation. However, it is worthy to note that in news translation, compensation is one of the most frequently used translation techniques....

A note on Sum, Difference, Product and Ratio of Kumaraswamy Random Variables

Avishek Mallick, Indranil Ghosh, G. G. Hamedani
Pages: 230 - 241
Explicit expressions for the densities of S = X1 + X2 , D = X1 − X2 , P = X1X2 and R = X1/X2 are derived when X1 and X2 are independent or sub-independent Kumaraswamy random variables. The expressions appear to involve the incomplete gamma functions. Some possible real life scenarios are mentioned in...
Short Communication

Variation and variability in carotid-femoral pulse wave velocity

Radhakrishna R. Kallem, Kevin E.C. Meyers, Deirdre L. Sawinski, Raymond R. Townsend
Pages: 230 - 233
Background: There are very limited data on the day-to-day variability and virtually no data on within-subject measurement variation of carotid-femoral pulse wave velocity (c-fPWV). Therefore, we conducted this study in healthy volunteers to measure both day-to-day variability and day-to-day within-subject...
Proceedings Article

Dependencies between fuzzy conjunctions and implications

Anna Krol
This paper deals with some dependencies between fuzzy conjunctions and fuzzy implications. More precisely, a fuzzy implication generated from a fuzzy conjunction and a fuzzy conjunction induced by a fuzzy implication is considered. In the case of a fuzzy conjunction only border conditions and monotonicity...

COVID-19 and Comorbidities: Audit of 2,000 COVID-19 Deaths in India

Shaffi F. Koya, Shahul H. Ebrahim, Lekha D. Bhat, Bindhya Vijayan, Salman Khan, Soji D. Jose, Zarin Pilakkadavath, Premini Rajeev, Jinbert L. Azariah
Pages: 230 - 232
Background: On September 5, 2020, India reported the second highest COVID-19 cases globally. Given India’s unique disease burden including both infectious and chronic diseases, there is a need to study the survival patterns of COVID-19. We aimed to describe the factors associated with COVID-19 deaths...
Proceedings Article

Characterization of Modified Lampung Natural Zeolite with Cetyl Trimethyl Ammonium Bromide (CTAB) for Adsorption Industrial Tapioca Wastewater

Darmansyah, S B Ginting, D A Iryani, R P Sari, D Supriyadi
This research was observed on the CTAB modified Lampung Natural Zeolite (ZMS). The aim is to improve the adsorption capacity of tapioca wastewater. This zeolite modification process has several steps, starts with Lampung Natural Zeolite (ZAL or LNZ) pretreatment, LNZ activation by NH4Cl, and ends up...
Proceedings Article

Artificial Neural Networks for Prediction of Rain Attenuation on Ku-band in South Africa

Lekhetho Joseph Mpoporo, Pius Adewale Owolawi, Gbolahan Rilwan Aiyetoro
In satellite communication networks on Ku-band and above, the propagation of signals is affected by various properties of weather conditions like hail, fog, and rain. The attenuation by rain is a dominant source of impairment of signal propagation operating on frequencies above 10 GHz. It is important...

A Study on Consumer Intentions for Continuous Adoption of Mobile Food Delivery Application through Attitude and Motivation using SAMS Model

Densingh Joshua Israel, T. Monika
With the rapid evolution of the digital age, the culinary landscape has witnessed a profound transformation, largely facilitated by the emergence of Mobile Food Delivery Aggregator (MFDA) apps. These innovative platforms have redefined the way consumer’s access, explore, and indulge in a diverse range...
Proceedings Article

Artificial Intelligence Powered Real Time Analytics Platforms for Transformative Public Engagement Interactive Policy Making and Digital Citizenship Innovation

B. Raveendranadh, P. Kiran Kumar, S. Brundha, Sambasiva Rao Suura, I. Janani, R. Anitha
AI Driven real-time analytics platforms are revolutionising public engagement, interactive policymaking and digital citizenship innovation. This includes platforms that utilize artificial intelligence (AI) powered insights, collective intelligence, and generative AI to drive better governance and promote...

Real-Time Vision-Based Blind Spot Detection and Tracking on a Raspberry Pi Using Lightweight Deep Learning

M. Samba Siva Reddy, R. Keerthi Sai Sanjana, K. Susmitha, Ch. Rohith
Blind spot-related accidents remain a significant safety risk, particularly with cost-sensitive Advanced Driver Assistance Systems (ADAS), where expensive sensing solutions may not always be practical. In this research paper, a real-time vision-based system is constructed using Raspberry Pi platform...
Proceedings Article

Predicting Small-Scale Industry Growth Under Government Credit Programs: A Data-Driven Machine Learning Approach

Bikkulal Bhukya, Gurunadham Goli, Geetha Manoharan
This paper will explore how government credit programs affect the development of small-scale industries (SSIs) and build a predictive machine-learning model that helps in predicting the performance of firms. The study utilizes empirical strategy that incorporates causal inference and predictive analytics...

Estimation of Test Item Parameters with Polytomous Item Response Using Partial Credit Model (PCM)

Suciati, Sudji Munadi, Sugiman
Assessment activities would provide useful information if instruments developed and used have good quality. One of the standards for a quality test instrument is having acceptable item parameters. This research aims to analyze the quality of the test instrument in terms of the item parameters’ quality...

Descriptive Analysis of the Benefits and Problems of Using Online Loans for MSMEs

Zulfanetti Zulfanetti, R. M. Rachmad, Mukhzarudfa, Jurnia Minati
This study aims to: (1) Describe MSME actors who take out online loans; (2) Identify the forms of online loan utilisation by MSME actors and analyse the benefits and problems arising from this. This study uses a survey method to collect primary data. Data was collected using questionnaires and in-depth...
Proceedings Article

How are students’ ability and perception in using media through synthesis organic chemistry learning?

Lusia Lusia Narsia Amsad, Liliasari S, Asep Kadarohman, Sardjono R E
Lecturer usually uses media in order to help students’ understanding about organic chemistry. In this research, the aim is to find out the ability and perception of students in learning by using media in the form of online and offline. The offline media we used was namely Spartan Student V6, and ChemAxon...

Determinant of Development Strategies and Leadership Styles on Organizational Commitment and Their Implications for MSMEs Performance in Palembang

Darul Amri, M. Thoyib, Frimansyah, Riza Wahyudi
This study aims to analyse the determinants of the development strategy and leadership style on organizational commitment and its implications on the performance of micro, small and medium enterprises (MSMEs) in Palembang. The samples were taken using non-random sampling technique, namely purposive sampling...

Dynamics of Exchange Rates and Oil Price: Adaptive Analysis and Forecasting

L.K. Orlik, I.F. Khasanova
Multivariate generalizations of the modified and adaptive time series correlation coefficients are obtained using the example of the dependence of currency pairs quotations and Brent crude oil price. The analysis of the movement of exchange rates and oil price in the R software environment. A much more...

The Analysis of Self-Concept Scale in Engineering Faculty: A Rasch Model Analysis

Jahju Hartanti, Lucky Nindi R. Marfu’i
Self-concept is a way of how we perceive ourselves in terms of physical or individual’s characteristics regarding the strengths and the weaknesses. Self-concept needs to be measured by an instrument that needs to be identified the reliability to measure the college student’s self-concept. Engineering...
Proceedings Article

Strategies and Problems of Pharmaceutical Industry Development in the Context of an Increased State Regulation

L.A. Ashikhina, N.V. Lisichkina, L.S. Bolshakova, Ju.G. Goloktionova, E.V. Izvekova, A.V. Kuzina, O.L. Ladnova, E.G. Merkulova
Transition to a new technological mode not only leads to the emergence of new opportunities and directions of industrial development, but also causes the need for the formation of new innovative ways of production and commercial activities, the creation of new forms and technologies of enterprise management....

Research on Online Teaching Based on Multiple Platforms and Teaching Methods in COVID-19 Epidemic Period

Xiaodan Chen, Dekun Hu
COVID-19 Epidemic broke out in 2020. Online teaching was adopted by teachers. Due to the change of teaching mode, the teaching design should be changed accordingly. Online teaching during the epidemic was a kind of distance teaching which used more teaching methods and platforms than MOOC and SPOC. Three...

Social Support and Learning Motivation for New Students During the Covid-19 Pandemic

Putri Rahayu Safitri, Raja Oloan Tumanggor, Willy Tasdin
During the Covid-19 pandemic, many students started a new learning system, namely distance learning or online which could cause the motivation to learn of new students to decline. New students need social support from family, friends, and a significant other to get good and positive learning motivation....

A study on the Efficiency of Enterprise Science and Technology Innovation and the Influence Factors Based on the Two-stage SBM-DDF Model

Tian Tian, Li Li
Dividing enterprise S&T innovation activities into stage of R&D and technology transformation (TT), uses SBM-DDF model to measure and analyze the S&T innovation efficiency of enterprises in R&D and TT stage in 30 provinces and cities in China from 2010 to 2020, and finally uses Tobit...

Research Trends about Ubiquitous Learning and Its Relevance in Mathematics Education

Tanti Listiani, Dhoriva Urwatul Wustqa, Kuswari Hernawati
This study aims to analyze the development of publications related to the development of Ubiquitous Learning in educational research. The method used in this study is bibliometrics analysis using data analysis on Scopus.com and utilizing R Studio for more detailed analysis. Publication data is collected...

Online Education, the Option for Mexican Migrants to Reduce Their Educational Disadvantages: the Case of the APRENDE INEA Platform

María Arcelia Serrano Vargas, Claudia Rivera Hernández
This article is about a longitudinal analysis using the Current Population Survey (CPS) databases published by the United States Census Bureau, specifically the Annual Social and Economic Supplements for the years 1995, 2000, 2005, 2010, 2015, 2020 and 2023, the purpose is to observe the changes and...
Proceedings Article

A hybrid approach of data visualization technique and random forest classifier for binary classification of lung CT images

Ananya Bhattacharjee, P. Stoila Cindy, R. Murugan, Tripti Goel
Lung cancer is the most common and dangerous cancer worldwide. An automatic detection system is the need of the hour for early diagnosis. Machine learning classifiers often encounter outliers in the extracted features. Motivated by this, the main aim of this study is to develop an outlier free automated...

On some prerequisites for sustainable development of the Republic of Buryatia

I Chimitova, Y Serebryakova, R Munkueva
When discussing the issues of sustainable development of cross-border regions, it is necessary to take into account the socio-psychological background, including the quality of the national character of the main contacting ethnic groups. The article discusses some of the character traits of the titular...

Prejudice as “Reverse Fuel”

The Pathways of Self-Esteem Levels Moderating Social Prejudice on Women’s Academic and Leadership Advancement

Kerui Huang
This study investigates the facilitating role of social gender bias on academic performance and leadership among highly educated women through the lens of the “reverse fuel” theory, while examining the moderating effect of self-esteem. A questionnaire survey was conducted with 84 women aged 18–25 holding...
Proceedings Article

Frequency-Dependent Electrical Conductivity of CVD-Grown ZnSe Polycrystals: Analysis Based on Jonscher’s Universal Power Law

I. I. Abbasov, M. A. Musaev, J. I. Huseynov, R. B. Aslanov, E. A. Eminova
The structural, vibrational, and electrical properties of ZnSe crystals grown by chemical vapor deposition (CVD) were investigated. X-ray diffraction analysis confirmed the formation of high-quality cubic sphalerite ZnSe with pronounced (111) crystal texture, submicron crystallite size, and high structural...

Multi-Disease Risk Prediction Engine

S. Md. Sami, S. Bhavana, V. R. Niveditha
The combination of data science and technology has revolutionized disease detection and prediction in today’s healthcare environment. This research presents an advanced approach of multi-disease prediction using deep learning architectures, namely InceptionV3 and VGG19 in the framework of a Flask-based...

Financial Ratio and Price Earnings Ratio: Analysis of Technology Companies Listed on the IDX

Widya Nur Rochmah, Fadia Zen, Lulu Nurul Istanti, Yuli Agustina
This study is a quantitative causality study which aims to investigate the relationship between Return on Equity Ratio, Current Ratio, and Debt to Equity Ratio with Price Earnings Ratio, with a focus on technology sector companies listed on the IDX from 2020 to 2023. Using SPSS 27, the study employs...

Bibliometric Analysis of the Intersection Between Sensory Marketing and Artificial Intelligence: Trends, Influential Contributors, and Future Directions

Sherin Chacko, R. Amruthavarshini
This study conducts a thorough examination of existing literature to explore the intersection of sensory marketing and artificial intelligence (AI), defining the overall research domain, identifying key themes, notable contributors, and developing trends. The study employs Biblioshiny from the Bibliometrix...

Board Game QR Code “Silamon” in the Implementation of Pancasila Values in Islamic School

Farida Hanum
The objective of this research is to elucidate the effectiveness of Board game QR Code Silamon as the learning media in instilling the Pancasila values to the students. This is because thus far, the implementation of Pancasila values only relies on conventional learning of Pancasila and civics education....

Learn Fun Multiplication with the Repeated Counting Method Using Cards in Class II

Armi Kholifah, Dhiniaty Gularso
This research was motivated by a problem found in class II of SD Negeri Kalipucang, namely the weak ability of students to solve multiplication arithmetic operations questions. The weak ability of students to calculate operations is due to the learning process being less interesting and the lack of variation...

Development of Learning Videos on Programming Language Courses Hypertext Markup Language Material

Edi Kurniawan, Nazarwin, Achmad Alu Mashartanto
Programming languages require HTML media materials that guide them step by step to complete the HTML work process. Visualizing the basic work steps of web design programming in programming language courses greatly influences lecture results. This research aims to develop a learning video of HTML (HyperText...
Proceedings Article

AIGC-Empowered UI Design of the “Piggy” APP: Innovative Practice in Intelligent Pig Farming Scenarios

Haitao Wu, Ning Yu
This paper takes the UI design of the “Piggy” APP as the starting point to explore the application of AIGC (AI Generated Content) in mobile interface design for vertical domains. Aiming at the shortcomings of existing pig farming APPs, such as single function, homogeneous interface, and the disconnection...
Proceedings Article

Fuzzy implications satisfying convexity relations

Mirko Navara
It is an open question whether a non-trivial convex combination of triangular norms (resp. conorms) can be a triangular norm (resp. conorm). We investigate the analogous question for S-implications and R-implications.
Proceedings Article

Situational Influences Related to Diabetes Self-Management in Indonesia

Anggraini Dwi Kurnia, Anchaleeporn Amatayakul, Sirikul Karuncharernpanit
Diabetes self-management is needed to prevent the complication of diabetes mellitus. Objective: The aim of this study is to identify the relationship between situational influences and diabetes self-management among adults with type 2 diabetes mellitus in Malang City, East Java, Indonesia. Methods: A...

Firm Maturity and Corporate Social Responsibility: Using Slack Resources and Gender Composition as Moderating Variables

Rita Sugiarti Nida, Nadya Hasan, Elvia R. Shauki, Vera Diyanty
This study examines the effect of firm maturity on corporate social responsibility (CSR) using slack resources and gender composition as the moderating variables. Based on stakeholder theory and legitimacy theory, this study develops hypotheses. This study uses 53 Indonesian firms and finds that firm...

The Effectiveness of Guided Discovery Based Learning Materials to Increase Students’ Learning Outcomes

Devi Evylia Purmawanti, Utiya Azizah, Sari Edi Cahyaningrum
This research aimed to know the effectiveness of learning materials based on guided discovery to inrease students’ learning outcomes. The research model used in this study was Research and Development (R&D), but it is only limited to the development stage, namely by conducting a trial I. Trial I was...

The Creation of Science Learning Models Based on Islamic Characters Deterrent Effects to Improve Student Learning Outcomes

Iip Aripin, Johanes Sapri, Riyanto, Alexon
Creation of Islamic Character-Based Science Learning Model (KMPIBKI) and the impact of accompanying models to improve student learning outcomes in Integrated Islamic Elementary Schools (SDIT) in Bengkulu City. This study aims to determine how the creation of a science learning model based on Islamic...

Public Awareness and Government Measures in Tackling COVID-19 Fake News in Malaysia

J. Dhaanya, V. Veerappan
Background: People's knowledge and behaviors about the COVID-19 disease are pertinent in influencing a society's response to it and the responsibility of providing the public with sufficient knowledge about the virus falls on the hand of the authorities. Objective: This study aims...

Assessment of Dark Tourism and its Merchandising

Atanu Bhattacharya, Vikas Sharma, Rajeev R. Mishra
This research finds the economic impact of dark tourism, focusing on destinations associated with tragedy, death, and suffering. Contrary to conventional beliefs surrounding positive destination n branding, this study questions whether dark tourism can emerge as economically impactful tourist destinations....
Proceedings Article

Evaluation of the Impact of Negative Emotions on Sleep Quality of COVID-19 Patients by SPSS Under the Background of “Internet+” Big Data

Shu Tang, XuBo Dai
This paper aims to explore the situation of anxiety, depression and other negative emotions and sleep quality in patients with novel coronavirus pneumonia under the background of “Internet+” big data, as well as the relationship between negative emotions and sleep quality. Collect information about 172...

Pronunciation Variation of /r/ in the Accented English of Chinese Learners

Jingyao Wang
With more Chinese people choosing English as their second language, pronunciation errors garner increasing interest, particularly among ESL researchers. Taking certain words and sentences as martial, this paper aims to discover the pronunciation pattern when Chinese learners try to pronounce the phoneme...