bluuebunny/crossref_metadata_2025 huggingface dataset:
Public Perception of African Independent Television “Democracy Today” Programme on the Promotion of Nigeria’s Democracy
Authors: Andrew Ubong Bassey
Published: April 2024

The significance of television as a mobilisation medium is widely acknowledged on a global scale. African Independent Television's (AIT) "Democracy Today" programme holds a prominent position as a political, social, and economic show and is considered one of the flagship programs on Nigerian television. This study aims to explore the public perception of AIT's "Democracy Today" programme in its role in promoting Nigeria's democracy. Drawing on media dependency theory, agenda setting theory, and the psychological theory of perception, the research used a survey research design, employing an availability sampling technique to distribute 400 questionnaires among residents of the Federal Capital Territory, Abuja, Nigeria. The findings revealed that participants were familiar with and exposed to the "Democracy Today" programme, and data indicated that they believed the programme had a positive impact on Nigeria's democratic development. Moreover, the study found that a majority of participants comprehended the content aired on the "Democracy Today" programme. The research in conclusion posits that the opinions of Abuja residents regarding the development of the country's democracy have been significantly influenced by AIT's "Democracy Today" programme. The study recommends the initiation of more programmes similar to "Democracy Today" by broadcast stations in Nigeria, emphasising the potential for broadening Nigerians' knowledge about the country's democratic journey.
Classification of Solar Cell Cracks Using Deep Learning
Authors: Shamala N. Srinivas S.,
Published: April 2024

This study evaluates the efficacy of a Deep Learning model in classifying solar cell images with and without cracks, crucial for early detection and maintenance of photovoltaic systems. The model demonstrates high overall accuracy (94%) and sensitivity (91%), indicating its proficiency in recognizing images with cracks while minimizing false positives. Receiver Operating Characteristic (ROC) analysis supports the model's robust discrimination between positive and negative cases, with an Area Under the Curve (AUC) of 0.93. Despite promising results, opportunities for improvement include dataset expansion to encompass diverse solar cell conditions and types of cracks. Real-world deployment considerations, such as integration into automated monitoring systems, pose challenges requiring further research. The study underscores the importance of ongoing development to enhance model performance for practical application in solar cell inspection and maintenance.
Integration of Ethereum Blockchain with Cloud Computing for Secure Healthcare Data Management System
Authors: S. Prasanna Ginavanee A.,
Published: April 2024

Effective management of health data is critical in this age of digital change. In order to solve the issues with safe healthcare data systems, this paper suggests a brand-new Hybrid Healthcare Data Management System (HDMS) that seamlessly combines blockchain and cloud computing technology. The solution guarantees the safe storage and effective administration of health data by utilizing the scalability and flexibility of cloud computing. The Ethereum blockchain, which offers immutability through smart contracts for data integrity assurance, is used to improve security. Important components of the suggested approach include Blockchain Anchoring, which uses distinct hash references on Ethereum to ensure data integrity, Google Cloud Integration for scalable storage and immediate data access, and compliance with Health Level 7 (HL7) formatting criteria for medical data storage. Robust privacy safeguards include cutting-edge methods like decentralized identifiers (DIDs) and homomorphic encryption, which guarantee secure computations on encrypted data and trustworthy identification for allowed access. IPFS file storage is used by the system to improve security by providing redundancy and resilience. By utilizing blockchain's immutability and cloud storage's distributed architecture, HDMS demonstrates resilience against disturbances. Results of the proposed method is implemented in Python Software. The Homomorphic approach that has been suggested continuously beats Optimized Blowfish Algorithm (OBA) in terms of encryption and decryption times. The improvement in encryption is between 3000ms (10 kb) and 1350ms (40 kb). The enhancement demonstrates improved efficiency across data sizes, ranging from 4000ms (10 kb) to 3350ms (40 kb) in decryption. The goal of HDMS is to create a future in which patient outcomes are enhanced by the appropriate handling, storage, analysis, and use of medical data.
Integrated Two-Level New Energy Monitoring and Big Data Centers: A Comprehensive Approach for Urban Sustainability
Authors: WU Bin
Published: April 2024

With the help of the quick development of big data, the Internet of Things, and other related technologies, the construction of new energy monitoring and big data centres aims to enhance the control capability of urban new energy stations. Inefficient operation and maintenance of new energy stations, as well as chaotic production control, are the reasons behind this action. Given the limitations of the current stage of new energy big data platform construction, the construction of group-level new energy monitoring and big data centres to achieve a high degree of integration and sharing of resources and experience has become an inevitable development of the new energy industry. This project aims to achieve multi-level integration in decision-making from the bottom up by using the background of the construction of the Wenzhou New Energy Two-Level Centre as a guide, organising the business processes for new energy production and equipment control, designing the technical architecture of the platform for cloud-side collaboration, providing guidance for the heterogeneous data processing and analysis of new energy assets in the cloud, and acting as a model for the development of the group-level intelligent platform for the new energy industry.
Enhancing Students' Physical Fitness Through Optimized Training based on Genetic Algorithm
Authors: Lu Dan Xu
Published: April 2024

With good physical fitness, people can put more energy into their daily life, study and work. Enhancing people's physical fitness is an important foundation in the modernization of our country's socialism. The physical fitness of students has always been the primary concern of colleges and universities. To improve the basic physical ability of students, students can get a significant improvement in their own physical level to ensure the successful completion of their academic career. The data collection terminal is installed around the campus road, the campus card is carried by the students, and the wireless module with small suction cup antenna is installed on the base station and each collection terminal to form a wireless communication between the base station and the collection terminal and between the collection terminal and the campus card. The base station is connected to the Web server through a wired network. In this paper, from the current realistic needs of students' preparation for physical education tests, the physical fitness training methods and means with more obvious effects in competitive training are introduced into physical education, the methods and means of physical fitness training are preferably selected, and the training load is reasonably arranged, and the experimental results prove that the optimized physical fitness training methods and means of genetic algorithm have novel equipment, practice methods The experimental results proved that the optimized genetic algorithm physical training method and means have novel equipment, diverse and interesting exercises, focus on developing coordination quality and mobilizing more muscle fibers and muscle groups to participate in sports, which can stimulate students' interest and emphasize the reasonable use of technical movements, and enhance students' physical fitness by controlling the training intensity and interval time.
Exploring Medium and Low-Temperature Convective Geothermal Resources in Eastern China Through Acoustic-Emission Geomagnetic Bathymetry
Authors: Wenxin Ma, Jun Pan Sheng He,
Published: April 2024

Medium and low-temperature convective geothermal resources are a crucial component of China's geothermal wealth, primarily concentrated in the eastern coastal regions. To maximize the utilization of these resources, geophysical surveys are essential, with acoustic-emission geomagnetic bathymetry being a prominent and effective method employed in geothermal resource assessments. This study focuses on applying acoustic-emission geodetic bathymetry to survey specific geothermal sites, including the Xiu Yan Gou Tang Hot Spring, Fengcheng Gou Tang Hot Spring, and Hai Cheng Xi Huang di Geothermal Field. The results obtained through this method provide detailed insights into the distribution of both deep and shallow thermal storage spaces within these fields, shedding light on the intricate thermal circulation systems associated with them. These findings serve as a reliable foundation for planning and executing further geothermal resource development projects. Acoustic-emission geomagnetic bathymetry emerges as a comprehensive tool for understanding the nuances of medium and low-temperature convective geothermal resources.
Role of Technology-Enhanced Service Learning in Empowering Marginalized Communities in Malaysia
Authors: Guptan Vinitha
Published: April 2024

Service learning (SL) provides a fitting opportunity for students to engage with and learn from the larger community. Such engagements are fast becoming a crucial facet of student and academic activities within Higher Educational Institutions (HEIs) in Malaysia. (SL) enhances pedagogical learning, fosters more durable relationships which extend beyond campus walls and appropriately prepares students for life outside the campus. The integration of community engagement within the (HEIs)’s curricula fosters an educational setting which facilitates the students’ academic, personal and professional developments. (SL) is a learning pedagogy that helps students identify issues within the community, work together and address some of the diverse challenges that have been identified. Today, without a basic knowledge of Information and communication technology (ICT) or digital literacy, it is very difficult to secure employment. Marginalized communities are faced with various socio-economic and environmental barriers which prevent them from obtaining such knowledge. This, in turn further perpetuates a vicious cycle that leaves them within a constant state of powerlessness. This study sought to explore the potential of (SL) in empowering marginalized communities by providing them with basic (ICT) training. A qualitative approach was utilized involving interviews with twenty respondents from marginalized communities. The respondents currently hold jobs which require a basic knowledge of (ICT). The findings indicate that basic digital literacy is becoming increasingly crucial toward the empowerment of marginalized communities in Malaysia. However, the relevant initiatives toward this are sorely lacking. Thus, service learning has a great potential to address the current gap.
Predicting Cryptocurrency Returns Using Classification and Regression Machine Learning Model
Authors: Alshehri Amal Saad
Published: April 2024

People are starting to see the cryptocurrency market as a viable source of income and investment, similar to the stock market, as the concept of cryptocurrencies continues to gain popularity. Predicting Bitcoin returns is related to financial machine learning, which uses time series to forecast price variance. This study starts with the daily close price of Bitcoin for its initial dataset. The price is transformed into percentages and binary classes, which categorize into “Up” and “Down”, after which a time series is applied to produce two datasets: a categorical dataset for classification and a numerical dataset for regression. For classification that represents a Binary classification in asset-price forecasting, k-fold cross-validation is applied to ensure that the best classifiers are selected for testing and analysis. Most of the regression analysis was based on visualization, which displayed the predicted prices by each regressor in front of the original values and helped analyse the models’ results more accurately. The outcomes of this study were achieved by anticipating bitcoin returns using classification and regression machine learning models, despite the approaches’ low accuracy and significant precision rate to the “Up” class. At this stage, with a significant limitation regarding the dataset and a lack of other indicators, a model capable of predicting future variations is considered a beneficial addition for many trading tools or even for crypto market analysts.
Phishing Webpage Detection using Feature Selection Methods
Authors: Amit S. Savyanavar
Published: April 2024

Phishing attacks are rapidly taking place around the globe. This makes it vital to have efficient phishing detection methods in place. All the datasets that are available are voluminous generally with a vast number of features. Furthermore, many of the features present are redundant or irrelevant and don’t substantially help in determining the final outcome. Therefore, it is necessary to identify those features and eliminate them to help reduce resources & time.This paper proposes two phishing detection techniques wherein one method incorporates ensemble feature reduction method and the other incorporates a feature reduction method based on average weight which help in eliminating irrelevant features and making a compact subset of the features to identify phishing attacks. These two methods are based on correlation, chi square, gain ratio, and information gain. The system uses Random Forest classifier which outperforms the rest of the classifiers. The comparison between both the methods is provided and the best method is determined taking factors like accuracy and computational time into consideration. The Phishing Webpage dataset is taken from Mendeley data.
Quantum Image Cryptography of Continuous Chaotic Maps by Using Pixel Shuffeling
Authors: Shilpa M. Satre
Published: April 2024

Images are important data carriers because, compared to text data, they are harder to transfer or store securely and include higher volumes and redundancies of digital data. Images can be shielded against a variety of risks with security, including eavesdropping and illegal copying and alteration. Because of the potential quantum risk to the existing cryptographic encryption methods and the quick advancement towards the development of quantum computers, quantum image encryption algorithms have recently drawn increasing amounts of attention. The majority of quantum image encryption techniques such as diffusion and scrambling, involve two separate rounds. In this model, the three different chaotic maps are used separately for scrambling the images to determine the performance of the quantum image cryptography with different combination of the model. At first, the hash256 algorithm is used for generating the quantum key and the forward diffusion takes place for diffusing the first pixel to final pixel of the input image information. Then, the three different chaotic maps such as pixel permutation, Chen attractor and Lorenz attractor are used for scrambling the input image. Finally, the bit-level permutation and backward diffusion process are considered for the scrambled image. For evaluating the performance of the quantum image cryptography based on the three different chaotic maps, the NPCR, UACI, Entropy, SSIM, correlation characteristics and histogram analysis are determined. The attained NPCR, UACI, Entropy and SSIM of the CASIA2 dataset for Lorenz attractor are improved than the pixel permutation and Chen attractor. Thus, from the attained values, the Quantum Image Cryptography Based on Continuous Chaotic Map such as Lorenz attractor performs better for the statistical and differential analysis than the other chaotic maps.
Exploring The Power Of Virtual Reality Technology And Image Processing In Tourism: The Architecture Of Quirino Laquatsa
Authors: Thelma D. Palaoag Arsenia V. Duldulao,
Published: April 2024

Tourism industry have experienced major income losses and a spike in unemployment due to the pandemic. The need for technology have arisen to be able to help cope with challenges of the tourism industry of both cities and provinces. Technological advancements drive private and public sectors to adapt, with virtual reality gaining rapid popularity in tourist-oriented cities. Quirino province, the smallest in its region, requires recognition on social media and technology to advance its tourism industry. The province has to cope up with what the technology has to offer to its tourism management.

The study's main goal is to create a virtual tourism architecture as close as possible to a particular place or tourist destination in the province. This may be used in the development of the Quirino Laquatsa and give visitors a taste of what is expected of the place or tourist site has to offer. This study used the Design Thinking Methodology mixed with Feature Driven Development. The data collection was done through the empathy phase.

The proposed system architecture design promotes the development of a virtual tourism with the aid of virtual reality. It can help address the problems and issues in the tourism management of the province. This can eventually lead into the development of a web-based virtual tourism site to become a medium for sustainable tourism development.
Research of Layer Thickness and Selected Thermoplastic Materials and their Influence on the Surface Roughness in the Process of Fused Deposition Modeling Technology
Authors: Marcel Kuruc , Jakub Hrbál ,  Jozef Peterka Jan Milde
Published: April 2024

This paper focuses on the influence of layer thickness and five selected thermoplastic materials on the surface roughness of cuboidal sample in the process of manufacturing by Fused Deposition Modelling technology. The component, in this case, is a cuboidal specimen with the dimensions 15 mm by 15 mm by 30 mm. FDM or LPD/FFF is additive layer-based method of additive manufacturing, usually used for rapid prototyping of the prototypes and other fabricating applications which use thermoplastics materials. A geometric model is defined that takes into account the shape of the fibers of the material after application to define the theoretical roughness profile. The authors set four different layer thicknesses of the cuboid part: 0.29 mm, 0.19mm, 0.14 mm and 0.09 mm. In this experiment, authors also used five different thermoplastic filaments: ABS, ASA, HIPS, PCABS and PLA. The authors produced a total of 20 prints and the surface of each sample was measured three times in succession using a portable surface roughness tester Mitutoyo. SJ-210. The 3D printer used in the experiment was Zortrax M200. The surface roughness .in this paper is shown in .the .form of a scatter and bar graph.
Development of a Technological System of Floating Cages in the Sea for the Farming of Marine Fish Within the Coastline of ILO
Authors: Alejandro González , Lucy Huallpa ,  Alex Zúñiga Walter Merma
Published: April 2024

The objective of the research work is to develop a technological system of floating cages in the sea for the culture of marine fish within the coast of Ilo.  The research  method is experimental, applied approach, the process is constituted by a marine cage system which includes the analysis of climatic conditions, oceanographic conditions, legislation, adequate environment and conditions suitable for the development of the project; to then design the prototype to operate the floating sea cage.   The preliminary results through the study "Development of technical capacities for the cultivation of Corvina "Cilus gilberti" in the province of Ilo, Moquegua Region" through which the culture cages were installed approximately 1.2 km from the coast in front of the beach "Piedras Negras" north of Ilo in which juvenile corvina were planted.  The design and construction of the marine cage for fish culture was appropriate because the materials used are in the optimal quality range, after submitting them in the simulations; you have fish in preliminary growth in the marine cages designed and built for fish culture; and finally, the maintenance of the cages was technically manageable, because it allows periodically its evaluation and maintenance.
Qualitative Research Approaches in Assessing Challenges During the Pandemic Covid-19
Authors: Nor ‘Adha Ab Hamid
Published: April 2024

A prosperous family refers to a situation in which a family has adequate access to the physical, economic, social and health resources needed to meet basic needs and improve the quality of life. This article discusses the findings from qualitative data on the new normal life among Malaysians after the COVID-19 pandemic. The methodology used is in line with the objective of building a New Norm Life Model after the COVID-19 pandemic. Round table discussion which involved representatives from several ministries like Ministry of Energy, Science, Technology and Innovation, the Ministry of Education Malaysia, the Ministry of Digital Communications Malaysia, the Ministry of Finance Malaysia, and the Ministry of Health Malaysia. As a result, the government can come out with a better strategy and respond to future public health threats by streamlining physical and digital infrastructure and an adequate and efficient workforce. The government plays a significant role in creating an environment that supports the creation of a prosperous family through policies, social programs, and community empowerment.
Assessing Psychosocial Factors on Maintenance Employees with Safety Perspective: A Case Study of an Electrical Service Company
Authors: Rhema Pragas Jatmiko
Published: April 2024

The increasing number of employees continuously exposed to psychosocial hazards can result in high absenteeism, employee turnover, low productivity, and increased work accidents. Efforts to improve occupational safety have typically focused on developing policies, equipment, and training to minimize physical risks; however, in recent years, attention has also shifted to psychosocial factors. This research was conducted to comprehensively analyze the psychosocial conditions of maintenance workers from electrical service companies in Indonesia. An online survey with 93 questions from COPSOQ III was conducted on 314 respondents who had worked for at least one year and were permanent employees at company X. The collected data will be tested for validity and reliability before being analyzed using descriptive statistics with the help of SPSS V25 software. It will then be classified by level using the gap analysis method. It was found that there were six psychosocial factors included in the mid-gap category, namely Cognitive Demands (X9), Work Pace (X12), Illegimate Task (X25), Role Conflict (X26), Work-Life Conflict (X31), and Insecurity over Working Condition (X32). Meanwhile, two psychosocial factors fall into the high-gap category, namely Control over Working Time (X17) and Job Insecurity (X33). Psychosocial factors in the high-gap category need to be a priority for improvement or intervention, considering that these factors can have a negative impact on work safety behavior, which can increase the number of work accidents.
Development of the mobile application “Fascinating Onomastics” based on semantic base of knowledge
Authors: Gulmira Bekmanova
Published: April 2024

This research, funded under the BR11765535 “Development of Scientific and Linguistic Foundations and IT Resources to Expand the Functions and Improve the Culture of the Kazakh Language” project, is aimed at the need to develop the scientific and linguistic foundations of the Kazakh language with a special focus on anthroponymy. Through the use of descriptive and historical methods, the research creates a semantic knowledge base for Kazakh proper names. This extensive database forms the basis of the innovative mobile application "Fascinating Onomastics", developed using the Flutter 3.0 framework. The application serves as an innovative resource allowing users to study Kazakh anthroponymy with features such as name search, favorites and the ability to add new names. The study revealed about 100 properties that affect the structure of proper names, contributing to a deeper understanding of Kazakh onomastics. The technical and economic effectiveness of the application is highlighted by its potential to increase cultural awareness, promote cultural tourism and be used as an economically viable product. In addition, this study has a high scientific and technical status, offering an unprecedented contribution to the study of Kazakh onomastics and cultural heritage. The application "Fascinating Onomastics" with its rich semantic features and interface in the Kazakh language is becoming an important milestone in achieving scientific, cultural and educational goals.
Electronic Dictionary System of Terminology for School Textbooks with Speech Synthesis Function
Authors: Gulmira Bekmanova
Published: April 2024

This research, funded under the BR11765535 “Development of Scientific and Linguistic Foundations and IT Resources to Expand the Functions and Improve the Culture of the Kazakh Language” project. The article introduces an electronic dictionary allowing users to look up definitions of terms found in school textbooks. The system accommodates the age characteristics of students, providing a voice-guided interface for primary school students. Users include administrators, specialists with database access, and general users. The article details the algorithm for creating terminology, the user interface, and functionalities for guests, experts, and administrators. The proposed system facilitates equal access to education and aligns with inclusive educational environments.
Design Development of Arabic-Roman Transliteration Module with Virtual Reality Concept (eTARRiM) to Improve Primary School Students' Arabic Reading Skills: Needs Analysis
Authors: Norazman bin Ahmat Syafri
Published: April 2024

This study discusses the development of the Arabic-Roman Transliteration Module with Virtual Reality Concept (eTARRiM) as an innovation in improving Arabic reading skills among primary school students. Needs analysis was conducted to solve the main issues in learning Arabic and develop a module that can overcome these challenges. A comprehensive literature review on Arabic language learning approaches, the concept of Arabic-Roman ttransliteration, and the application of virtual reality technology may form the basis of the development of this module. With the importance of reading skills, this study gives special emphasis to Malay-speaking students who face challenges in understanding the structure of Arabic writing. eTARRiM module is designed to meet the needs of students by integrating Arabic-Roman transliteration as a bridge to recognize Arabic characters. Virtual reality technology is used to create an engaging and interactive learning environment. A needs analysis was conducted based on the needs of the concept of transliteration, the use of technology, and how this module supports the needs of students in primary school. By understanding the critical issues in learning Arabic, this study offers a holistic view of relevant and effective development this module. The results of the study are expected to contribute to the development of a more dynamic Arabic language learning resources, especially at  primary school level. Practical implications and recommendations for future research are also discussed to improve the quality of teaching and learning Arabic among primary school students.
Research on Nurses’ Psychological Empowerment: A Bibliometric Analysis
Authors: Liebin Huang
Published: April 2024

Psychological empowerment is a cultural, social, or psychological process that enhances individual control and autonomy over thoughts, emotions, and behaviors by developing attributes like self-identity, autonomy, and self-efficacy, which are integral to success in modern organizational management, particularly in service sectors like nursing. This study aimed to analyze the study focus, thematic trends, and evolution of studies on nurse psychological empowerment by using bibliometric analysis. The articles on nurses' psychological empowerment were obtained from the Web of Science Core Collection (WOSCC) database from its inception to November 30, 2023. The R package “bibliometrix” was used to conduct the data analysis and graphical presentation. A total of 188 publications on nurses' psychological empowerment were included. Publications were mainly from the USA, Canada, and China. The most frequent keywords included “empowerment”, “psychological empowerment”, “nurses”, “nursing”, “job satisfaction”, “structural empowerment”, “burnout” and “leadership”, the most frequent topics were “power”, “settings”, “work satisfaction”, and “turnover”. This bibliometric analysis identified the research trend of nurses’ psychological empowerment in the past 25 years, and this subject has already become an active field of study in nursing research. In addition, nurse retention-related themes such as job satisfaction, and work environment have become hot topics in current research while structural equation model-based themes have been less studied.
Development of Speaking Training Media Based Android Application for Beginner BIPA Learners
Authors: M. Fernanda Adi Pradana
Published: April 2024

Darmasiswa program is an Indonesian language learning program for foreign speakers. In this program, students are introduced to Indonesian language and culture. Beginner level BIPA learning in the program still finds problems related to teaching materials on speaking skills. Based on these problems, there is a need for the development of media for practicing speaking skills. The media aims to enable students to practice speaking independently without the need to be accompanied by a teacher or native speaker. The development of the training media can answer the formulation of problems related to the feasibility of content, language, and presentation systematics. The ADDIE model was used in this development. Based on the validation of speaking training media, the results obtained (1) material validation resulted in a good category, (2) language validation resulted in a good category, (3) media validation resulted in a very good category, and (4) practitioner validation resulted in a very good category. Based on this validation, the android-based speaking skill training media can be implemented for beginner BIPA students so that it produces an excellent category. This makes this speaking training media easier for beginner-level BIPA students in meeting the competency standards of beginner-level speaking skills.
The Role of Collaboration on Acceptance of E-Government in Tanzania
Authors: Renatus Mushi
Published: April 2024

E-government is the process of delivering government services through electronic media or platforms. It provides alternative options for offering services with minimal need for physical contact. The acceptance of E-government practices and tools is influenced by factors as explained by prominent models such as TAM, UTAUT and TRA. This research involves empirical evidence from the Tanzanian context to examine the influence of collaboration on citizens’ intention to use e-government systems. The conceptual framework was formulated by extending TAM with collaboration. The research employs a survey of 203 respondents followed by analysis using Smart PLS 4. The conceptual framework was developed by extending the Technology Acceptance Model with E-government collaboration before testing it in a survey. The results show that the collaboration has a significant influence on perceived usefulness. Among others, this research provides theoretical underpinnings to the acceptance of technologies and areas for future research and policy implications.
Twitter, Instagram, Youtube Speak: Understanding Sentiments on LRT Jabodebek Services via Inset Lexicon, IndoBERT and BERTopic Approaches
Authors: Ibadurrohman Irfan Fatani
Published: April 2024

Rapid urbanization in the Jabodetabek region has led to an increased demand for public transportation. Responding to this need, the government has initiated the development of a new public transportation mode, namely the LRT Jabodebek. However, as a new public transportation mode, the LRT Jabodebek has both strengths and weaknesses in serving the community. Various public comments are expressed through social media platforms. To enhance service quality, it is crucial to pay attention to public comments. Therefore, a sentiment analysis is required to identify and delve into both positive and negative sentiments regarding the LRT Jabodebek service through comments on Twitter, Instagram, and Youtube. The methodology involves a combination of Lexicon-based, IndoBERT model, and BERTopic approaches to gain a deeper understanding of the Jabodebek LRT service trends. The study reveals that 55.9% of the 8,523 comments carry a negative sentiment, and the IndoBERT model achieves an accuracy of 85.97% in sentiment classification.
Digital Logistics and Blockchain Utilization on Global Supply Chain Management
Authors: Haichang Tian
Published: April 2024

Global supply chain management faces several challenges, such as lack of transparency, traceability, and efficiency, leading to fraudulent activities, lost revenues, and poor customer satisfaction. This study addressed these challenges by investigating the potential effects of integrating blockchain technology and digital logistics in supply chain management. The research design is a mixed-method study involving a sample size of 230 respondents involved in the supply chain management industry. The respondents are selected using a random stratified random sampling technique, and the inclusion criteria will be that they must work in a company that utilizes digital logistics. The researcher gathered data through online surveys, and SPSS was used to analyze the data. The results show that the level of digitization of global supply chain management is high. Further, the utilization of digital logistics and blockchain technology in global supply chain management is highly evident. However, these companies always need help utilizing digital logistics and blockchain technology. Also, there is a significant effect on digital logistics, blockchain technology, and global supply chain management. All in all, companies can use this technology to gain a competitive advantage, reduce costs, and increase customer satisfaction.
Investigative Analysis of Cybercrime in Nigeria: Using Theft Triangle
Authors: Clement Agbeboaye
Published: April 2024

Cybercrime or computer related crime is a criminal activity carried out with the aid of computer and the internet. The internet has contributed to the growth and development of the Nigerian economy and the world at large. However, the correlation between the growth of the internet and cybercrime in Nigeria is directly proportional to each other. Cyber insecurity is one of the biggest vices threatening the growth and advancement of the Nigerian economy. This paper provides investigative analysis of cybercrime in Nigeria using “theft triangle”. Theft triangle comprises of the three key elements that must be present before theft can take place which are “desire, motive and opportunity”. Nevertheless, since the desire and motive of a criminal cannot easily be controlled, the paper focuses more on “opportunity” as a measure to enhance the security of cyberspace in Nigeria. An experimental set-up was done to determine the security of cyberspace when “opportunity” was not controlled and when it was controlled over a period of time. The investigation revealed that cyberspace is subject to theft when “opportunity” was not controlled than when it was controlled. Hence, the study suggests appropriate modalities to enhance the security of cyberspace in Nigeria.
Differentiation Strategy to Improve the Level of Customer Satisfaction. Case: Industrial Process Company, Peru.
Authors: Mg. Julissa Elizabeth Reyna-González
Published: April 2024

Today the experience we provide to customers is very important for the company, a good shopping experience allows for a happy customer, generate benefits for the company such as increased sales. Customer satisfaction is the way in which we have been treated as consumers when making a purchase, this depends both on the treatment and on the product that the consumer receives. Maintain that "Multiple studies indicate a significant relationship between the perception of the quality of services and customer satisfaction." On the other hand, when a customer is in a state of "customer satisfaction" they tend to repeat their purchasing behavior, generating a state of "customer loyalty". Therefore, customer satisfaction and loyalty maintain a strong link. Getting customers to feel happy with the company's products and for them to return to make new purchases requires time and dedication, since the sale does not end when the product is delivered, quite the contrary, the customer must be followed up. after the sale, this will allow the customer to be satisfied and expand that list of customers in the company. As indicated above, services or products are intangible entities, for which it is important to know customer satisfaction in order to analyze them. The general objective of the research was to propose a Differentiation Strategy to improve the level of Customer Satisfaction in the Industrial Processes Company. The research was descriptive and the non-experimental design, descriptive cross-sectional, it was used as a technique to the survey and as an instrument the questionnaire that measured Customer Satisfaction through the Likert Scale. Crombach's alpha test was used to determine the validity and reliability of the instrument. Likewise, an interview guide was applied to the business administrator to carry out the qualitative analysis of customer satisfaction. The theoretical precedents that support the present investigation are based on the theories that, according to Lovelock and Patterson, maintain that service is any act, performance or experience that one party can offer to another and that it is essentially intangible and does not result in ownership. you're welcome, but nevertheless create value for the recipient. Its production may or may not be linked to a physical product. essful in any business. The results allowed to know the level of customer satisfaction, which is at a high level which is equivalent to 37.71%, which means that the company has acceptable strengths regarding the level of customer satisfaction such as variety of products, prices according to the market, among others, it was also possible to design the differentiation strategy, validated through the expert judgment technique.
Competency Development of Food Tourism in Thailand
Authors: Kritchakhun Bhanityanakorn
Published: April 2024

Food tourism has become great potential in the tourism industry, especially in Thailand. When foreign tourists come to travel and witness the diverse gastronomic experience at local levels, however, in 2022, Thailand received 11.15 million foreign tourists, and only 19.45% came because of food attractions. Therefore, this study aims to develop competency in food tourism in Thailand. This quantitative research collected data from food tourism stakeholders in Thailand 400, including foreign visitors, local visitors, restaurant owners, culinary academic institutions, and tourism authorities. Data were analysed in descriptive and inferential statistics, and a structural equation model tested the hypothesis.

The findings reveal that (1) Tourism policy must include food tourism in the tourism event and public relation scheme of tourism authorities, (2) Unique local cultural experiences must be embedded into food stories, and (3) Nutrition and herbal nutrition must be presented for health-conscious tourists. The observed variables had component weights between 0.241 and 0.79. They were significantly different from zero at the 0.01 level. Latent variables were between 0.058 - 1.153, and 2) the harmonization of the hypothetical model and the empirical data found that all criteria were within the acceptable range (Pass) structural equation model analysis (Chi-Square = 44.113, df = 35, p = 0.139, RMSEA = 0.026, GFI = 0.026, AGFI = 0.960).
The Role of the Gratifications of Nutrition Instagrammers’ Generated Content in Developing Actual Buying Behavior for Functional Foods in Egypt
Authors: Mohamed Moustafa Eissa
Published: April 2024

The change in people’s perception of the role of nutrition in health improvement has evolved a new concept of food with disease prevention characteristics called Functional Foods (FFs). This study examines the role of entertainment, informativeness, and socializing gratifications of Nutrition Instagramers’ generated content in influencing consumers’ purchasing intention and actual buying behavior of functional foods. It also aims to investigate the effect of these gratifications on the attitude toward Nutrition Instagramers (NIs) and if such attitude would affect the attitude toward FFs and consumers’ buying intention. Also, it aims to investigate the association between buying intention and actual buying behavior of FFs and the gender-moderating role of this relationship. A quantitative research method was applied using a survey strategy, and the data were collected from 456 Egyptians who followed Nineteen NIs and analyzed through Structural Equation Model (SEM) using AMOS 25 software. The findings revealed that entertainment, socializing, and informativeness gratifications positively impact consumers’ purchase intention and attitude toward FFs through the consumers’ attitudes toward NIs, and the more informativeness of NIs’ generated content, the more likely to influence consumers’ purchasing intention directly. Also, our results indicated that attitudes toward NIs and FFs significantly impact consumers’ purchase intention. Furthermore, our results revealed that gender strengthens the association between consumers’ purchase intention and actual buying behavior in favor of males. Finally, this study bridges a gap about factors that impact attitudes toward NIs, FFs, consumer purchase intention, and consumer actual buying behavior of FFs with a unique application of the Uses and Gratifications Theory (UGT) in influencer marketing.
The Assessment of Thermal Comfort Performance in Bamboo Ecotourism Infrastructure in the Tropical Climate of Malaysia
Authors: Aina Amira Khairul Nizar
Published: April 2024

Ecotourism has become a growing trend, offering a platform for raising awareness of environmental issues in the tourism industry. One of the principles of ecotourism is relying on environmentally friendly infrastructure to prevent environmental degradation. The shift towards ecotourism has highlighted the significance of sustainable practice and infrastructure design in tourism. Bamboo is gradually renowned due to its role in carbon sequestration, bringing hope to the natural environment despite the slow acceptance by society. Assessing the thermal comfort performance takes on added value in the context of encouraging bamboo utilization for sustainable practice. As bamboo gains recognition for its potential in environmental protection, its thermal comfort attributes could encourage its adoption in future infrastructure. Hence, this study examines the thermal comfort performance in bamboo buildings in Malaysia using various design approaches in the same microclimate. Fieldwork was conducted to analyze the indoor and outdoor temperatures in three different chalets in Tadom Hill Resort, Banting, namely Gendui Chalet, Semantan Chalet, and Hakka Village. Generally, findings concluded that the indoor temperatures are higher than the indoor thermal conditions indicated in Malaysia Standard, MS1525:2007. Findings also indicate that the maximum temperature reduction is 2.4°C, 4.1°C, and 4.6°C for Gendui Chalet, Semantan Chalet, and Hakka Village, respectively. Ultimately, this study seeks to emphasize the feasibility of bamboo as a likely option for building construction, developing, and improving the ecotourism destinations in Malaysia.
Tembang Batanghari Sembilan: Implicitness, Functions and Poor Inherent Culture
Authors: Fikri, Hendrokumoro
Published: April 2024

This study aims to describe the meanings contained in each lyrical verse in the Batanghari Sembilan folk song and to explain clearly the function that arises from each meaning based on the theory of Rolland Barthes (1972). In this study, the researcher selected and analyzed only one folk song that contained 13 rhymes with semiotic perspective and explored the socio-cultural context related with the song lyrics. This study uses a qualitative descriptive approach. Data collection was carried out by listening to and writing all the song lyrics, then translating them into Indonesian. Afterwards, the data are analyzed based on Rolland Barthes' semiotic theory connected with socio-cultural context. The results of the study show that there are many kinds of meaning such as sadness, lamentation, pity, denial, criticism, pessimism, and gratitude which describe the overall flow of the song. In terms of cultural functions, the Batanghari Sembilan song shows several functions such as the function of expressing feelings, communication, social criticism, cultural preservation, and entertainment. Therefore, folk songs are not only talk about the art and wealth of a region, but also can reflect an implicit meaning, various functions, and identity habits.
Fade Duration Analysis on a Ka-Band Link Operating in the Tropical Region
Authors: Nurul Farhana Husna Kamarozaman
Published: April 2024

Communication systems are rapidly shifting towards higher frequencies due to congestion experienced at lower frequencies and the growing demand for higher data transmission rates within the network. However, it has been observed that as frequency increases, the susceptibility of the system to weather-related factors, particularly adverse weather conditions like rain, becomes more pronounced. This has raised significant concerns regarding the dependability of satellite communication links. This research investigates the dynamic characteristics of signal degradation caused by atmospheric effects, specifically focusing on the impact of rain fade. The study involves an analysis of fading duration using a year's worth of data extracted from Measat-5, operating at a beacon frequency of 20.199 GHz and positioned at an elevation angle of 68.8°. Such data is useful when developing a fade mitigation technique (FMT) that mitigates the disruptive effects caused by heavy rainfall, ultimately leading to an enhancement in both signal quality and overall signal availability.