bluuebunny/crossref_metadata_2025 huggingface dataset:
A Call for More Detailed Commercial Aviation Statistics in Media Reports
Authors: D'amico Francesco
Published: February 2025

As passenger figures have been growing for several decades and only remarkable economic crises such as the one induced by Covid-19 have been able to slow down this fast growth, the way commercial aviation statistics have been reported by the media has not adapted to the variety of niches filled by airlines, depending on their business models, fleets, services, and routes. Media reports generally provide one key parameter (number of passengers) and, at times, other relevant parameters (number of flights, cargo tonnage) which alone do not provide exhaustive information on the current variability of commercial air traffic. Statistics showing, for instance, the busiest airlines in the world in terms of pure passenger figures are not funded on the core of commercial aviation statistics, such as PKF (passengers kilometers flown), seat configurations comprised of First/Business and comparable classes, etc. Another key factor is a number of vital special services provided by legacy carriers which are pretty much neglected by media reports. Via an excursus on the issue and tabled estimates on whether the PKF parameter could be used as a general factor of differentiation between different categories of airlines, this paper is aimed at showing how media reports should include a wider range of parameters and provide extra information on the actual complexity of modern-day air travel. Passenger special services (such as those aimed at people whose mobility is reduced) are among the key parameters analyzed for the purpose of this research.
Effect of Temperature, Pressure and Humidity on Battery Consumption in Unmanned Aerial Vehicles
Authors: Ercan Hamdi , Ayaz Fahri Alperen , Ulucan Hamdi
Published: February 2025

With the advancing technology, unmanned aerial vehicles (UAVs) have shown significant development. However, the battery technology has struggled to keep pace with these advancements, resulting in UAVs needing to efficiently manage their limited energy resources. Therefore, this study aims to examine factors that contribute to battery energy consumption beyond planned usage scenarios.
A quadcopter equipped with Pixhawk Holybro 4 flight controller was used in the study. It was tested under varying atmospheric conditions of air pressure, humidity, and temperature. The quadcopter performed automated flights, hovering at a height of 5 meters for 3 minutes, while the battery consumption was monitored. The study was conducted under real atmospheric conditions to simulate practical scenarios.
The research revealed that the examined factors significantly impact battery depletion. Specifically, temperature and humidity were observed to have a more pronounced effect on battery consumption compared to air pressure.
UAV Selection Using Fuzzy AHP and PROMETHEE Method
Authors: Erkeç Tuncay Yunus , Erdoğan Fahri Alp , Aygün Salih , Sağbaş Murat
Published: February 2025

UAV (Unmanned Aerial Vehicle) is an aircraft that can fly by remote control or automated system and does not have the capacity to carry people. The optimal selection of UAVs is critical for the successful conduct of operations and the prevention of loss of life and property. The aim of this study is to prioritize the criteria affecting the selection of UAVs and to rank the Strategic UAVs based on these criteria. Thus, it is aimed to improve the UAV selection process of decision makers. As a result of the literature search, there were no studies on the most important criteria affecting the selection of operational, tactical and strategic UAVs. Therefore, Fuzzy AHP and PROMETHEE methods were applied to fulfill these objectives. As a result, it was determined that the most important criteria in the selection of UAVs are realizability, flight stability and payload success rate value.
Decoding user reviews for Low-cost airlines marketing: A global analysis of passenger preferences Aviation
Authors: Pınarbaşı Fatih , Zeybek Fatma
Published: February 2025

The airline industry is a key component in the transportation and tourism sectors thanks to its economic potential and global scope, and the complex structure of customer preferences, competitive environment, and changing dynamics require examination of the marketplace. In this context, it has been determined that many studies have focused on user studies in the airline market, while only a few studies have examined the Low-cost airline sub-context in the airline market. This study aims to investigate the factors affecting consumer recommendation and rating scores through user reviews in the context of Low-cost airlines. In the study, regression analyzes and difference tests were used on 5672 user reviews on airlinequality.com about 20 airline brands on Skytrax’s World’s Best Low-cost Airlines 2023 list. In the regression analysis, it was seen that value for money was the most important determining factor in recommendation status and rating scoring, followed by ground service, cabin crew service, seat comfort and food and beverage variables. Difference tests reveal that solo leisure travelers tend to rate and recommend higher. It is also concluded that first-class passengers using LCC airlines have higher tendency for rating scores higher and recommending.
The Role of Flight Simulators in Pilot Training
Authors: Savaş Tamer , Özdemir Uğur , Esen Yunus Emre
Published: February 2025

Aviation is one of the most advanced and multifaceted industries in the world. One of the most critical aspects of aviation, which cannot be overlooked, is flight safety. Pilot training is a specialized form of education that is a crucial component of the aviation industry. The training process serves as a fundamental interface between pilots and the potential environments they will encounter in real flight operations. At present, a significant portion of pilot training is performed in flight simulators, which replicate real flight environments, making pilot training both cost-effective and safe. For example, a full flight simulator can provide accurate force feedback through its system for the flight control inputs of the pilot. Equipped with diverse systems to simulate various flight parameters (e.g. altitude, acceleration, speed, etc.), a flight simulator can generate a large amount of data on flight and pilot activity during training. With the continuous development of software and hardware technologies, flight simulators are becoming increasingly sophisticated, offering training across a broad range of tasks. Therefore, finding ways to enhance the efficiency and quality of simulator-based training is crucial. This study conducted a comparative analysis of the utilization of flight simulators both globally and within our country. The review of studies stresses the critical significance of pilot training in the aviation industry and the advantages that flight simulators bring to the training process. Furthermore, the need for objective evaluation of pilot performance is identified as a key issue that warrants global research attention.
Advanced fault diagnosis and prognosis model for UAV control systems
Authors: Shahadat Islam  , Su Yan  , Lima N Fernandes Marcal
Published: February 2025

Unmanned aerial vehicle UAV dependability and safety must be guaranteed, particularly for autonomous operations. In order to forecast the Remaining Useful Life RUL of crucial UAV components, this work presents an Advanced Fault Diagnosis and Prognosis Model that combines rule-based fault diagnosis, deep learning-based prognosis, and real-time problem detection. The advanced fault diagnosis and prognosis model presented in this research is intended to identify, categorise, and forecast defects in UAV control systems. The suggested framework combines rule-based fault diagnosis for sensor and actuator fault classification, statistical threshold-based anomaly identification for real-time fault detection, and an LSTM network for critical component Remaining Useful Life RUL prediction. An anomaly detection module based on autoencoders improves the system's capacity to discover intricate and unknown flaws. The model uses a sliding window technique to handle real-time sensor data, producing outputs like RUL predictions, fault classifications, and deviation charts. The efficacy of the model in enhancing UAV reliability through precise defect identification, diagnosis, and prognosis is demonstrated by validation using both synthetic and real-world UAV datasets. The framework continually processes sensor data in real time through a sliding window technique. Sensor deviation graphs, autoencoder reconstruction errors, and RUL forecasts are among the outputs that give operators concise, useful information. Real-world UAV sensor data and synthetic datasets are used to validate the model, which shows strong performance in fault detection, classification, and prognosis.
Bio-mediated soil improvement techniques for slope stability
Authors: Rekha N  , Ramakrishna U B
Published: February 2025

Soil stability is a crucial factor in mitigating landslides and ensuring the long-term durability of infrastructure built on slopes. Traditional soil stabilization techniques rely heavily on chemical additives and mechanical reinforcements, which can be expensive, labor-intensive, and environmentally harmful. As an alternative, bio-mediated soil improvement methods harness biological processes to enhance soil cohesion, reduce erosion, and increase load-bearing capacity, offering a more sustainable and eco-friendly approach to geotechnical engineering. This paper explores key bio-mediated soil improvement techniques, including microbial-induced calcite precipitation (MICP), bio-polymer treatments, and plant-root reinforcement. MICP leverages the ability of specific bacteria to precipitate calcium carbonate, thereby enhancing soil strength and reducing permeability. Bio-polymer treatments use natural polymers derived from microbial or plant sources to improve soil aggregation and water retention properties. Plant-root reinforcement capitalizes on vegetation to provide mechanical stability by interlocking soil particles and preventing surface erosion. The effectiveness, advantages, and limitations of these bio-mediated methods are analyzed in detail, along with case studies demonstrating their application in real-world slope stabilization projects. Comparative assessments of their performance, cost-effectiveness, and environmental impact are provided to highlight their viability as sustainable alternatives to conventional stabilization approaches. Additionally, future research directions are proposed to improve the efficiency, durability, and scalability of bio-mediated soil improvement techniques, particularly in the context of large-scale infrastructure and climate change resilience. By integrating biological solutions with modern engineering practices, bio-mediated soil improvement offers promising potential for enhancing slope stability while minimizing environmental disruption. This paper aims to contribute to the ongoing development of sustainable geotechnical solutions and foster broader adoption of bio-mediated approaches in slope stabilization efforts worldwide.
AI-driven adaptive learning platforms: Enhancing educational outcomes for students with special needs through user-centric, tailored digital tools
Authors: Ayobami O Ayeni  , Rodney E Ovbiye  , Ayomide S Onayemi  , Kayode E Ojedele
Published: February 2025

The inclusion of AI powered adaptive learning systems in education systems can transform the learning experience of every learner. Especially, students with disabilities can benefit immensely from this technology. These platforms employ machine learning models, natural language understanding, and real time data processing to generate and deliver lessons, provide feedback, and assist learners in the most effective way. This paper addresses the consequences of using AI powered adaptive learning tools on educational outcomes and engagement for learners with disabilities. It aims to show how personalized interventions that enhance accessibility, cognitive development, and learning outcomes are achieved. The study uses data from user's interaction pattern, provided workload during the training, and the user's mental processes to define the processes that increase the efficiency of these systems. The results AI powered adaptive learning systems help achieve higher engagement, understanding, and memory in all students with learning disabilities, thereby lessening the educational gap between them and their peers. This study supports the necessity of and puts forth some elements of an inclusive AI design. Further work can incorporate ethical AI governance, multi-disciplinary approaches and design driven by users, to address the needs of students with disabilities in relation to adaptive learning systems. AI-powered adaptive learning platforms hold immense potential to create more inclusive, personalized, and effective learning environments for students with disabilities.
Ant diversity (Hymenoptera: formicidae) in cocoa orchards following an age gradient in the haut-sassandra region (Côte d’Ivoire)
Authors: YACOUBA Hanna-Thérèse Bissiri  , KOUAKOU Lombart M. Maurice  , SIB Ollo  , SORO Senan  , YEO Kolo
Published: February 2025

Cocoa farming is the main cause of deforestation in Côte d'Ivoire, with dramatic side-effects for ecosystems and biodiversity. These consequences also affect ants, which play a crucial role in ecosystems, contributing to soil bioturbation, the regulation of phytophagous insects and the accidental pollination of flowers. In this context, it is very important to understand the effects of cocoa-based cropping systems on ant diversity in the ecosystems of the Haut-Sassandra. Cultural practices have an impact on the ant population present in these environments. The aim of this study was to identify the ant species present in cocoa plantations and to determine the influence of the age gradient of cocoa orchards on ant communities. A total of 79 species were identified. They belonged to 25 genera and 5 sub-families in the plantations in the different localities. The Pitfall method gave the highest abundance in Daloa and Issia. As for Vavoua and Zoukougbeu, the baiting methods gave the highest abundances. The species Oecophylla longinoda dominated all the plots.

This approach provides essential information for the sustainable management of cocoa plantations, taking into account the complex ecological interactions that exist between crops, biodiversity and agricultural practices.
Evaluation of antioxidant potential and toxicological safety of ethanol extract of Morinda citrifolia leaf
Authors: David Adedotun Ibiyemi  , Gideon Oludare Oladipo  , Emmanuel Oluwafemi Ibukun
Published: February 2025

This study explores the potential of Morinda citrifolia leaf through a modified ethanol extraction method which employed variation in the percentage of ethanol used for the leaf’s extraction that differs from previous approaches. With established reports from the fruits for its antioxidant capacity, we looked into its leaf to investigate its effectiveness and safety. Based on the pathogenesis of oxidative stress induced ailments, the studies evaluate the in-vivo antioxidant and toxicological effects of the M. citrifolia leaf by determining DPPH, ABTS, superoxide, nitric oxide radical scavenging abilities, reducing power, lipid peroxidation, β-carotene bleaching inhibition and metal chelating potentials of M. citrifolia. We carried out LD50 and sub-chronic (28-day) toxicity assay and histopathology examination of the essential organs. The results of the study showed that ethanolic extracts of M. citrifolia (EMC) has strong potential as an effective antioxidant and it has little or no toxicological effect. The results align with previous studies carried out on the fruits of M. citrifolia. This study provided preliminary evidence that supports the potential of the ethanolic extracts of M. citrifolia leaf for further studies as a viable antioxidant agent that can be incorporated as supplements or developed from its bioactive components as a modern drug for oxidative stress induced ailments.
COLLABORATIVE GOVERNANCE DALAM SISTEM PEMERINTAHAN DESA TANJUNG PAUH MUDIK KABUPATEN KERINCI
Authors: Satria Oga , Puspita Lestari Riski
Published: February 2025

Pemerintahan di desa Tanjung Pauh Mudik memiliki tiga komponen penting, yaitu pemerintahan adat, syarak, dan desa. Ketiga elemen tersebut saling mendukung agar baik dalam membuat kebijakan ataupun melakukan kontrol terhadap masyarakat agar terciptanya tatanan masyarakat yang damai dan sejahtera. Oleh karena itu, penelitian ini bertujuan untuk melihat lebih jauh peran dari ketiga elemen tersebut serta kolaborasi mereka di dalam menjalankan pemerintahan di desa Tanjung Pauh Mudik. Penelitian ini merupakan penelitian kualitatif yang secara umum dapat digunakan untuk meneliti tentang sejarah, tingkah laku, kehidupan masyarakat, fungsionalisasi organisasi, aktivitas sosial, dan lain sebagainya. Data penelitian ini dikumpulkan melalui beberapa metode, di antara adalah metode indepth interview bersama para pemimpin pemerintahan di desa Tanjung Pauh Mudik, baik pemerintah adat, syarak, dan desa. Selain itu, penulis juga melakukan interview bersama beberapa masyarakat terkait kasus tertentu serta melakukan observasi langsung ke lapangan untuk melihat kondisi pemerintahan di desa Tanjung Pauh Mudik. Di samping itu, penulis juga menggunakan metode dokumentasi terkait data-data yang berkaitan dengan penelitian ini. Penelitian ini berkesimpulan bahwa meskipun ketiga elemen pemerintahan tersebut memiliki tugas pokok masing-masing, namun terkadang pemerintahan adat masih memegang kekuasaan yang cukup dominan.
The Effect of Financial Literacy on Millennial Generation's Investment Decisions in BRIS Stocks
Authors: Rendi Shafira Dhafa , Puspitasari Intan , Galih Prasaja Mahendra
Published: February 2025

Currently, the modernization era has changed human life and work. One of the things that is presently being considered is the level of financial literacy. One of the financial literacy in a person's investment decision. The purpose of this study is to examine the influence of financial literacy on the investment decisions of the millennial generation in BRIS stocks. This research is quantitative. The primary data used was taken from questionnaires given to respondents. Data testing is carried out by validity, reliability, and significance test testing (multiple linear). The results of the study showed that the level of financial literacy using the variable indicators of financial knowledge, financial attitudes, and financial behavior had a combined effect of 64% on investment decisions. Meanwhile, the remaining 36.0% of individual investment decisions are influenced by other variables that are not explained in this study
Exploring The Influence of Unforgettable Tourism Experience on Revisit Intention: The Mediating Role of Tourist Satisfaction
Authors: Agata Muhamad Ikhsan , Ajeng Pramesti Diesyana
Published: February 2025

This research aims to analyze the mediating role of tourist satisfaction in the relationship between memorable tourist experiences and tourist experiences on their intention to return to the natural scenic destination of Ketep Pass. The research methodology adopts a quantitative approach, using questionnaires for data collection and Structural Equation Modeling (SEM) as an analysis technique. The research involved 110 respondents who had visited Ketep Pass at least twice. The study findings show an intention to revisit, and the analysis results show that tourist experience and satisfaction variables significantly influence this variable. Meanwhile, the effect of memorable experiences is not statistically significant. This research proves that efforts to create unforgettable experiences alone cannot guarantee that tourists will return. Managers need to pay attention to other more dominant factors, such as overall satisfaction and the unique characteristics of their destination
The Forecasting Inflation Movements in East Java Province Using the Auto-Regressive Integrated Moving Average (ARIMA) Approach
Authors: Budi Prasasti Karari , Murdiyanto Edi , Dwi Yulianti Tiara , Aditama Putra Mukti Wibawa Wahyu
Published: February 2025

East Java is the province with the largest population in Indonesia. In addition, East Java's economic growth rate is the highest on the island of Java. The economic growth needs to be supported by other economic indicators. One of the most important macroeconomic indicators is inflation. This study discusses the inflation forecasting for East Java towards the end of 2024. Financial forecasting is crucial as it serves as the basis for government decision-making. The forecasting technique used in this study is ARIMA. The tests indicated that inflation in East Java will decrease towards the end of the year. In December, East Java will experience deflation of -1.75%. Meanwhile, in January and February 2025, the inflation rates were -2.07 and -2.39, respectively. Therefore, the East Java government must implement policies to anticipate this situation.
Implementation of Management Functions in the Al-Qur'an Memorization Program at Madrasahs
Authors: Pratama Agung Setyo , Al Rosid Moh. Harun
Published: February 2025

The main objective of this study is to examine the tahfidz (memorization) program of the Qur'an at MTs. Al Furqon Siliragung Banyuwangi which implements management functions. The implementation of management functions into the Qur'an memorization curriculum is a transformation of the madrasah in developing its education. This study uses a qualitative approach based on a case study design. The research informants include the head of the madrasah, the deputy for curriculum, and the homeroom teacher. Data collection through participant observation, in-depth interviews, and documentation. The theory of Miles, Huberman, and Saldana is used in data analysis through data condensation, data presentation, and drawing conclusions/verification. Test the validity of the data with reliability, confirmability, and credibility. Furthermore, the researcher checks the adequacy of references, member checking, triangulation, peer discussion, and continuous monitoring in the accuracy of the data. Based on the research results, there are three steps that can be taken to plan and implement a successful Al-Qur'an memorization program, namely: 1) setting goals through discussions at regular meetings, determining what materials are needed, and identifying educator needs. 2) building an organizational structure that pays attention to the educator's field of expertise. 3) implementing the program through a learning process that follows a system agreed upon by the management and educators, using innovative strategies to improve memorization methods, namely Talqin and Talaqqi, 4). Pengawasan on through the use of direct observation of learning activities, monitoring memorization progress, and frequent assessment of the process and results.
APPLICATION OF NON-TRADITIONAL ENERGY SOURCES TO ENSURE THE SECURITY OF VITAL ACTIVITIES OF UKRAINE FACILITIES
Authors: Bielikov A.S. , Kolesnyk I.O. , Tyshchenko O.M. , Smirnov Ye.D.
Published: February 2025

The relevance of the work. According to statistical data and the conducted analysis, it was determined that due to the state of war in Ukraine, a significant number of energy facilities are in critical condition. The lack of electricity in Ukraine leads to a number of violations in ensuring the safety of the population's daily life. Thus, starting from June 2022, temporary power outage schedules have been introduced. The growth of economic indicators of the world economy leads to a gradual increase in the consumption of energy resources. Purpose – traditional energy sources with electricity for the uninterrupted operation of technological processes and ensure the safety of the population's daily life. Methodology. At the current level of scientific and technical progress of heat supply and electricity consumption, the use of organic fuels (coal, oil, gas), hydropower and nuclear energy based on thermal neutrons. However, according to the results of numerous studies, in the near future, organic fuel can only partially meet the needs of the world's energy industry. The rest of the electricity needs can be met at the expense of other sources of energy - non-traditional and renewable. Scientific results. Fossil sources are mainly used for energy production (about 87 % of all energy). The share of renewable energy is only 8.6 %. In addition, renewable energy is developing more actively in the developed countries of the world as a result of state subsidies. British Petroleum analysts forecast that by 2030, the share of energy sources obtained from fossil energy sources will decrease to 82 %, the share of renewable energy will increase to 12 %, and the relative amount of energy obtained from nuclear energy will not change significantly. Uncertainty of scientific and practical substantiation of priority directions for the use of renewable energy sources to meet the needs of facilities does not allow for wide application in Ukraine. Practical results. The use of renewable energy sources in the next 20 years will make it possible to save fossil energy resources, but the complete abandonment of fossil energy sources is a matter of a distant perspective. Therefore, one of the priority areas of energy development in the 21st century. there is comprehensive use of renewable energy sources, which have huge resources, which will reduce the negative impact of energy on the environment, increase energy and environmental security.
THE IMPACT OF HIGH TEMPERATURES ON THE LOAD-BEARING CAPACITY OF WOODEN STRUCTURES
Authors: Bielikov A.S. , Todorov O.P. , Kreknin K.A. , Harchenko V.V. , Yavorska O.O.
Published: February 2025

Problem statement. Wooden structures are widely used in construction both in Ukraine and globally. They offer numerous advantages over other building materials, which is particularly valued in the construction of residential and public buildings. However, wood is a combustible material, and in the presence of a high-temperature source, it can sustain burning. Recent scientific studies have increasingly focused on the destructive processes occurring in wood under the influence of high temperatures, particularly the burnout of surface layers of the structure to a critical level, which may lead to collapse. However, insufficient attention has been paid to other destructive changes that can reduce the integrity and load-bearing capacity of wood without visible signs of burning. The complexity and interdependence of different stages of the wood combustion process make it difficult, and sometimes impossible, to accurately assess its fire resistance and develop effective methods to improve the fire resistance of wooden structures. Currently, there are no practical and tested methods for assessing the fire resistance of such structures. Given this, there is a need for further theoretical research into the processes of heating and burning of wood during fires. To better understand the complex combustion process, it is advisable to divide it into characteristic stages, which can significantly influence the assessment of the structure's fire resistance. Purpose of the article to analyze the impact of high temperatures on the load-bearing capacity of wooden structures, particularly in fire conditions. The article examines destructive processes occurring in wood during heating, which lead to a reduction in its strength even without visible signs of burning. The article also emphasizes the need for further theoretical studies of heat and mass transfer processes to assess the fire resistance of wooden structures. Conclusion. Wooden structures have many advantages, but their fire resistance remains a challenge due to the combustibility of wood. A significant threat is posed not only by burning but also by destructive processes that can weaken the structures without visible signs of ignition. The complexity of the combustion process complicates the development of reliable fire resistance assessment methods, thus necessitating further research. The proposed mathematical models can help better understand the processes of heat and mass transfer and improve methods for assessing the fire resistance of wooden structures.
The Crucial Role of Indonesian CEOs in Tax Decision-Making: An Examination of Tax Avoidance Practices
Authors: Rahmatulloh Sahrian Aditya , Nainggolan Dwi Ladyssa
Published: February 2025

This study aims to fill a research gap by exploring how Indonesian CEOs' demographic traits and management styles influence corporate tax avoidance practices. Using regression analysis on data from non-financial companies listed on the Indonesia Stock Exchange (2018-2021), variables such as CEO nationality, financial data, and Effective Tax Rate (ETR) are examined. The study compares tax avoidance practices relative to CEO characteristics. The research reveals a significant negative relationship between Indonesian CEOs and ETR, indicating a propensity for tax avoidance. CEO background, notably nationality, is crucial in shaping strategic decisions regarding tax practices. Robustness tests confirm the relationship's validity, free from observable endogeneity bias. This study focuses on Indonesian CEOs, contributing valuable insights into how executive backgrounds impact corporate tax strategies. It underscores the importance of considering leadership traits in evaluating corporate strategies beyond financial performance.
REVEALING THE KEY TO FINANCIAL STABILITY DURING THE COVID-19 CRISIS
Authors: Lakilaki Eogenie , Syaqbania Annisa , Amelia Rizki
Published: February 2025

The Covid-19 pandemic has caused a significant shock to the financial sector, affecting the performance and stability of financial institutions. This study aims to analyze the effect of the Loan to Deposit Ratio (LDR), capital adequacy, and credit risk on financial stability during the Covid-19 pandemic. The sample 18 banking sector companies listed on the Indonesia Stock Exchange during the 2020-2022 period. This research method uses relevant and reliable data from the banking sector companies listed on the Indonesia Stock Exchange during the Covid-19 pandemic period. Data analysis was performed using statistical regression techniques to identify the relationship between the variables studied. The results of this study are expected to provide further understanding of how changes in the Loan to Deposit Ratio, capital adequacy, and credit risk impact financial stability during the Covid-19 pandemic. The results of this study prove that the loan to deposit ratio and capital adequacy has a positive effect on the on the financial stability. While the credit risk have a negative effect on the financial stability. The implications of this research can be a guide for financial authorities and related institutions in making policies to maintain financial stability in the midst of a pandemic crisis.
Keywords: Capital Adequacy Ratio, Financial Stability, Loan Deposit to Ratio, Non-Performing Loans
Tracing the Evolution of Blockchain in Accounting: A Bibliometric Analysis
Authors: ULA INDAH SYAFA'ATUL , Dewayanto Totok
Published: February 2025

Abstract. Blockchain has emerged as a technology that will change the field of accounting. This technology offers unmatched transparency, security and efficiency in financial transactions and reporting. This research explores the potential of blockchain to revolutionize accounting practices, teaching in improving the accuracy, security and reflection of financial data.  Using bibliometric analysis and PRISMA flow charts, this research analyzes trends and developments in blockchain research in the accounting field from 2019 to 2024. This research uses bibliometric analysis tools from R-Packages software and Biblioshiny WebInterface.  This analysis is based on data from the Scopus database, identifying publication patterns, collaboration networks, and influential journals. This research uses the Technology-Organization-Environment (TOE) framework to understand the factors that influence the application of blockchain in accounting. By integrating bibliometric methods with the TOE framework, this research offers a detailed examination of blockchain's impact on accounting, as well as highlighting key areas for further research. These findings aim to support accounting professionals in effectively utilizing blockchain technology to improve operational efficiency and prevent fraud, as well as contribute to the wider adoption and integration of blockchain in the accounting field.
Keywords: Blockchain, Accounting, Bibliometric Analysis, Scopus, R-Packages, Biblioshiny, Publication Trends, Citations.
Analysis of the Effect of Digital Marketing on Brand Advocacy with Perceived Service Quality and Customer Engagement as Intervening Variables at Fridaytigasports
Authors: Puspitasari Ayu , Permata Nanda
Published: February 2025

The purpose of this study is to analyze the effect of Digital Marketing on Brand Advocacy with Perceived Service Quality and Customer Engagement as intervening variables. Data analysis techniques include path analysis quantitative methods using questionnaires distributed to 100 respondents using certain criteria, with a purposive sampling technique. The results of this study are digital marketing has a positive effect on brand advocacy, digital marketing has a positive effect on perceived service quality, digital marketing has a positive effect on customer engagement, perceived service quality has a positive effect on brand advocacy, customer engagement has a positive effect on brand advocacy, Digital Marketing has an influence Brand Advocacy through Perceived Service Quality as an Intervening variable and Digital Marketing influences Brand Advocacy through Customer Engagement as an Intervening Variable
Consumer Preferences on Halal Supply Chain Implementation in Food and Beverage Franchise Firms in Mataram City
Authors: Yusuf M Syahdi , Rahman Fuad Arif
Published: February 2025

This study aims to determine consumer preferences for the implementation of halal supply chains in food and beverage franchise firms in Mataram City. Customer preference theory is measured using the hierarchy of effect model. The object of research is the society of Mataram City. The research method uses multiple linear regression analysis and partial test (t-test) to answer the research hypothesis. The sampling technique used was purposive sampling method with a total of 384 respondents determined based on the Krejcie and Morgan table. Research data management was carried out using IBM SPSS 25. Data collection was carried out using an online questionnaire. The results of this study reveal that the variables of customer awareness, customer liking, customer preference have a significant effect on the implementation of halal supply chains in food and beverage franchise companies. Meanwhile, customer purchase has an effect but not significant halal supply chain implementation in food and beverage franchise companies. Meanwhile, customer knowledge and customer conviction / intention to buy have no effect on the implementation of the HSCM in food and beverage franchise firms. The results of this study will be useful for food and beverage franchise companies, knowledge for readers and can be a source of information and reference for further research.
Evaluating the Impact of Customer Service Quality on Customer Satisfaction at XYZ Company
Authors: Syafrina Mia , Siregar Purnama Ramadhani
Published: February 2025

This study examines the impact of service quality on customer satisfaction at XYZ Company, with a specific focus on the role of customer service. Using quantitative methods, the study sampled 100 respondents. The research involved testing the validity and reliability of questionnaire instruments, and data analysis included multiple linear regression, t-tests, and F-tests. The findings reveal that, overall, service quality significantly affects customer satisfaction. Specifically, reliability, responsiveness, assurance, and tangibles have a significant impact, while empathy does not. This research contributes valuable insights for developing marketing and service management strategies to enhance customer satisfaction and offers data-driven guidance for gaining a competitive edge.
The Influence of Job Satisfaction on Work Motivation of Workers in Coal Mining Companies
Authors: Siregar Indri , Hizkal Muhammad , Pradana Risyad Kharisma , Ichsan Mohammad
Published: February 2025

This research examines the impact of job satisfaction on employee motivation in coal mining companies. Satisfied employees tend to be more motivated, which in turn can improve company performance. Factors such as recognition for performance, career development, and intrinsic satisfaction with work play an important role in employee motivation. This research aims to provide insight into the relationship between work motivation, employee satisfaction, and operational performance in the mining industry. This research investigates factors that influence employee engagement at work, including career development, pay and benefits, social needs, and work motivation. Using a quantitative approach and survey methods, this research hypothesizes that job satisfaction influences work motivation. By utilizing survey methods with questionnaires and interviews, quantitative data was collected from field workers in the mining sector. Statistical methods are used to analyze data and test the influence between research variables. References include theories of motivation and job satisfaction, as well as related research in the mining industry. This research utilizes a quantitative approach and survey method by distributing questionnaires to 83 field workers at PT AI. The research hypothesizes that job satisfaction influences work motivation. This study employs validity tests, reliability tests, simple linear regression analysis, correlation coefficient, coefficient of determination, and t-tests. The results of this study indicate that there is a significant influence of job satisfaction on work motivation among mining workers at PT AI.
Sistem Kendali Pintu Air Otomatis Menggunakan Metode Fuzzy Mamdani
Authors: Gozali Muhammad Syafei , Gautama Aditya , Jefiza Adlian , Diono Diono , Rahmaini Vika , Amri Juhrial
Published: February 2025

Penelitian yang dilakukan mengembangkan sistem kontrol pintu air irigasi berbasis Fuzzy Mamdani. Prototipe yang dibangun terdiri dari saluran irigasi yang dibatasi dengan pintu air. Pada rangkaian elektronika, ESP32 digunakan sebagai kontroler yang dilengkapi dengan sensor ultrasonic untuk mendeteksi level air yang masing masing terpasang pada sisi suplai dan saluran irigasi. Pintu air digerakkan dengan menggunakan motor DC. Input Fuzzy Terdiri dari Ketinggian level air suplai dan level air saluran irigasi serta waktu tanam atau panen, dengan kombinasi rule fuzzy sebanyak 18 rule. Hasil pengujian sensor level dilakukan pada empat target ketinggian dengan 80 kali percobaan, diperoleh rata-rata persetanse error masing masing sensor sebesar 0.3% dan 0.2%dengan akurasi 99.7% dan 99.8%. Hasil pengujian pintu air dengan sistem fuzzy memiliki kesesuaian 100% kondisi pintu air membuka dan menutup terhadap level dan waktu tanam dan panen.
Sistem Monitoring Tambak Ikan berbasis Internet of Things menggunakan ESP32
Authors: Al attas Said Usman Sulaiman , Wicaksono Muhammad Jaka Wimbang , Futra Asrizal Deri , Diono Diono , Aryeni Illa , Sani Abdullah
Published: February 2025

Kondisi alam yang tidak terukur menyebabkan matinya benih ikan karena tidak dapat beradaptasi dengan kondisi tersebut, hal ini dapat menyebabkan terjadinya kegagalan panen. Perubahan Kondisi alam akibat cuaca menyebabkan kadar pH air tambak menjadi tidak stabil. Para petambak berupaya meningkatkan kualitas pH air dengan cara tradisional menggunakan pH meter secara manual, namun metode ini memiliki kelemahan jika tidak di monitoring secara periodik. Melihat permasalahan yang ada, peneliti merencanakan membuat alat pengukur kadar keasaman air menggunakan sensor pH E4502C berbasis IoT dengan tujuan mempermudah para petambak ikan untuk me-monitoring kadar kandungan pH yang ada di suatu tambak melalui smartphone. Hasil pengujian sensor pH yang dilakukan menggunakan pH sensor memiliki nilai rata-rata eror 4.09% pada pH 4, 2.47% pada pH 7 dan 6.31% pada pH 9. Hasil yang lebih akurat bisa diperoleh melalui pengambilan data yang lebih banyak dan pengolahan data dengan menentukan nilai rata-rata sebelum di tampilkan pada user interface.
ANALISIS PERBANDINGAN MODEL SPRINGATE DAN ALTMAN Z-SCORE TERHADAP POTENSI FINANCIAL DISTRESS SEKTOR PROPERTI & REAL ESTATE DI INDONESIA TAHUN 2018-2022
Authors: Hesi Titia , Zelmiyanti Riri
Published: February 2025

This research compares the predictive of the Springate model and the Altman Z-Score models for possible financial distress in property and real estate sector companies listed on the Indonesia Stock Exchange (IDX) between 2018-2022 is compared. Purposive sampling was used to choose of 12 companies from a population 25 companies, with a total of 60 data. The Paired Sample T-Test is used for comparative analysis, along with the IBM SPSS Version 22 application. The results indicate a significant difference between the two models, attributed to variations in the ratios used for calculation. The Altman Z-Score model shows higher accuracy, with a presentation of 91,67%, compared to the Springate model's accuracy of 83.3%. This indicates that the Altman Z-Score model is more proficient in predicting potential financial distress among property and real estate sector companies listed on the IDX.
Digital Transformation in Higher Education through the Implementation of Enterprise Resource Planning
Authors: Ramdany Kevry , Bahari Asniati
Published: February 2025

Digital transformation through the implementation of Enterprise Resource Planning (ERP) is a strategic step for universities in improving operational efficiency and the quality of academic services. ERP integrates administrative and academic functions into a unified platform, enabling more effective and efficient information management. However, the ERP implementation process is faced with various challenges, including resistance to change, budget constraints, and a lack of technical skills among users. This research aims to analyze the process and key factors for the success of ERP implementation in higher education, focusing on a case study in one of the private universities in West Sumatra. Qualitative methods were used with in-depth interview techniques, observation, and documentation to gain in-depth insight into the experiences and challenges of ERP implementation. The research results show that ERP implementation at universities involves planning, preparation, and gradual stages, which include needs assessment, module selection, socialization, and technical training. This phased approach helps manage risk and ensure the success of each phase. The implementation process has had a significant positive impact on operational efficiency and service quality at the university. Process automation, data integration, and faster access to information provide immediate benefits for administrative staff and students. A well-planned and coordinated ERP implementation is key to maximizing the benefits of the new system and improving the university's overall operational efficiency. This research provides valuable insights for other educational institutions planning to carry out digital transformation through ERP implementation.
State-Owned Or State-Owed? Evaluating Indonesia'S Divestment Returns From Pt Vale Indonesia Tbk
Authors: Daulay Anggi Anugerah , Qadri Resi Ariyasa
Published: February 2025

This study endeavors to predict and elucidate the prospective returns on governmental investments in the divestment shares of PT Vale Indonesia Tbk. Financial data were collated through the documentation technique, leveraging annual reports from the company. The financial information was subsequently analyzed employing a quantitative methodology"” specifically, the discounted cash flow model"”to ascertain the intrinsic value of the firm. The findings indicate that the intrinsic value of PT Vale Indonesia Tbk. surpasses its market price on the stock exchange, suggesting that the investment by the Indonesian government is poised to yield capital gains. However, the potential for dividend earnings appears limited due to the company's inconsistent history of dividend distribution. This research contributes to the enhancement of governmental investment strategies in divestment shares and provide valuation recommendations for PT Mineral Industri Indonesia, which has been designated by the Government of Indonesia to acquire shares in PT Vale Indonesia Tbk.
MILENIAL DAN UANG : APA YANG MEMPENGARUHI KEUANGAN MEREKA?
Authors: Wargadalam Winanda wahana , Wardani Dian Puspa
Published: February 2025

Penelitian diusulkan berdasarkan teori perilaku terencana dan teori pembelajaran sosial yang bertujuan untuk menguji pengaruh pengetahuan keuangan, sikap keuangan, kontrol diri, dan gaya hidup terhadap perilaku manajemen keuangan pada generasi milenial di Kota Batam. Penelitian ini merupakan penelitian deskriptif kuantitatif dan instrumen yang digunakan adalah dengan menggunakan kuesioner melalui google form. Populasi pada penelitian ini yaitu mahasiswa aktif Politeknik Negeri Batam jurusan Manajemen Bisnis program studi Akuntansi dan Akuntansi Manajerial kelas karyawan maupun reguler angkatan 2018/2019. Dipilihnya mahasiswa sebagai populasi dalam penelitian ini disebabkan mahasiswa direpresentasikan sebagai generasi milenial yaitu usia dimana diberikan kuasa untuk mengelola keuangan masing-masing, sehingga mengharuskan mereka untuk mulai mandiri dalam mengelola keuangan dan mulai melakukan pengambilan keputusan yang bertanggung jawab. Sampel didapat dengan menggunakan rumus Slovin sebanyak 133 sampel mahasiswa. Kemudian data yang diperoleh diolah menggunakan software IBM SPSS 25 Dengan metode analisis yang digunakan adalah regresi linear berganda yang terlebih dahulu di uji validitas dan reliabilitas, serta uji asumsi klasik, yang kemudian di uji hipotesis berupa uji t, uji f dan koefisien determinasi. Hasil penelitian ini menunjukkan bahwa variabel pengetahuan keuangan, sikap keuangan, kontrol diri, dan gaya hidup berpengaruh positif dan signifikan terhadap perilaku manajemen keuangan.
EVALUATION OF BANK NAGARI'S FINANCIAL HEALTH: RISK-BASED BANK RATING (RBBR) ANALYSIS DURING THE 2020-2023 PERIOD
Authors: Hia Yulia , Komalasari Sanda Patrisia
Published: February 2025

This research aims to evaluate the health level of Bank Nagari using the Risk-Based Bank Rating (RBBR) method during the 2020-2023 period. The RBBR method evaluates bank performance based on four main components: Risk Profile, Good Corporate Governance (GCG), Earnings, and Capital (RGEC). This research uses a quantitative descriptive method by collecting data from the annual financial reports and GCG reports of Bank Nagari for the last four years. This analysis includes measuring various risk indicators such as credit risk, market risk and liquidity risk, as well as evaluating financial performance based on profitability and capital adequacy. The research results show that Bank Nagari's overall health level is very healthy. In 2020, Bank Nagari obtained a composite score of 86%, increasing to 90% in 2021 and returning to stability at 86% in 2022 and 2023. Factors such as Return on Assets (ROA) and Capital Adequacy Ratio (CAR) show consistent improvement, reflecting solid financial performance and good risk management. This research concludes that effective risk management and good GCG practices have contributed to the stability and health of Bank Nagari during the analyzed period.