bluuebunny/crossref_metadata_2025 huggingface dataset:
Geographic Information System for Mapping the Area and Coconut Production in Kendal Regency
Authors: Aan Kia Asshifa  , Bambang Agus Herlambang  , Ahmad Khoirul Anam
Published: February 2025

Coconut fruit holds high economic value as it can be utilized for various products and significantly contributes to the local economy. This research aims to develop a Geographic Information System (GIS) to map land area and coconut production in Kendal Regency in 2023 as a foundation for more efficient resource management. By integrating spatial and non-spatial data from the Central Statistics Agency (BPS), this GIS visualizes the spatial distribution of coconut plantations and identifies production variations among sub-districts. The analysis reveals that Patebon Sub-district has the highest coconut production, while Cepiring Sub-district, despite having the largest land area, records relatively low production. Mapping was conducted using Quantum GIS (QGIS) software, allowing for accurate and efficient data digitization. This GIS output holds significant potential to support spatial planning, data-driven policy formulation, and the improvement of coconut farmers' welfare in Kendal Regency. The implementation of the map on a web-based platform facilitates public access to the presented spatial information.
Implementation of Simple Additive Weighting (SAW) Method For Selecting a Tutoring Center
Authors: Lilis Indrayani  , Yuliana Sangka
Published: February 2025

Abstract
 
Tutoring Institutions (Bimbel) are non-formal educational institutions that work to maximize children's learning potential which may not be fully achieved through conventional education. There are many bilingual educational institutions that exist today, each with its own regulations and requirements designed to attract students, especially elementary school (SD) students. Standards that are often used as a guide to attract students are Tuition fees, distance from home, facilities. and teaching staff.  Alternatives to bimbel institutions are Zefanya Bimbel, Study Star Bimbel, Camat Bimbel and Quantum Bimbel. Each bimbel institution has different requirements or policies, it presents a unique challenge for students to choose atutoring place that suits their expectations. One of the methods of problem solving that can be used is by building a computer-based system to help decision-making, the method used is the Simple Additive Weighting Method (SAW), The SAW method can select the best alternatives from several available alternatives because it is ranked after determining the weight of each feature. From this research, getting the results of Bimbel Camat becomes the recommendation of the best choice of bimbel.
 
Keywords: Decision Support System, Simple Additive Weighting, Alternative
A Smart Control System Model for Pharmaceutical and Medical Equipment Storage Using Fuzzy Logic and IoT
Authors: Didi Rahmat Saputra  , Fadhila Azzahra  , Lahuddin  , Ade Octaviansyah
Published: February 2025

The primary goal of this study is to develop an innovative Smart Control System designed to maintain optimal temperature and humidity levels within a medical storage environment. By integrating Fuzzy Logic with Internet of Things (IoT) technology, we aim to enhance/optimize environmental control. Our experimental approach involved constructing an IoT-based prototype utilizing an Arduino Uno board equipped with high-precision temperature and humidity sensors, and DHT22 components for automated temperature and humidity stabilization. A fuzzy logic algorithm was employed/utilized to analyze real-time sensor data and generate/produce adaptive control outputs in response to environmental fluctuations. This smart control system is expected to significantly enhance/make a significant contribution to medical inventory management by reducing product damage and ensuring the safety of medical supplies. This research paves the way for future advancements in applying advanced technology for environmental control in healthcare settingsKeywords: Smart Control System, Fuzzy Logic, Internet Of Things (IoT)
Grade 9 Student Grade Data Analysis Based on Grades Knowledge to Determine Outstanding Students with K-Means Clustering (Case Study of SMPN 2 Sindang)
Authors: Andriani Putri , Nana Suarna  , Irfan Ali  , Dodi Solihudin
Published: February 2025

Increasing student academic achievement is one of the main challenges in the world of education. Students have diverse abilities, so a directed learning approach is needed that suits each individual's needs. At SMPN 2 Sindang, this challenge is of particular concern in improving the achievement of grade 9 students.This research aims to overcome this problem by applying the K-Means Clustering algorithm to group students based on their academic score patterns. The data used includes midterm exam scores and attendance. The K-Means algorithm was used to identify three main groups: Cluster 1 (high value), Cluster 0 (medium value), and Cluster 2 (low value).
The research results show that the K-Means algorithm is effective in identifying groups of students with similar learning needs. This grouping allows schools to design learning programs that are more effective and suit the needs of each group of students. Thus, this research makes an important contribution to the development of data-based learning methods, especially at the secondary education level.
Bible Study Scheduling Information System Using Rapid Application Development Method in GKS Jemaat Padadita Barat
Authors: Willem Maria Adreana Elisabeth , Murry Albert. A. Lobo  , Pingky Alfa Ray Leo Lede
Published: February 2025

Along with technological developments in the field of information systems, great opportunities arise to improve the efficiency and performance of various institutions, including churches. The church as an institution that has an important responsibility in serving the congregation, requires an effective information system to support various service activities. One example is GKS Jemaat Padadita Barat, which currently manages the Bible Study (PA) schedule using traditional methods. The PA schedule management is done by an officer, namely the secretary, by typing the schedule using Microsoft Word and printing it manually. This method is not only time-consuming but also inefficient and prone to errors.To answer these challenges, a website-based information system is needed that can help manage PA schedules more efficiently and integrated. This research aims to design and build a website-based PA scheduling information system specifically designed to assist congregational assemblies in managing congregational data and preparing PA schedules. This system is expected to facilitate access, speed up data management, and allow real-time schedule updates.This research uses the Rapid Application Development (RAD) method, which is well-known for its ability to produce systems quickly, structurally, and efficiently. The implementation of this system is expected to optimize the management of PA schedules at GKS Jemaat Padadita Barat, support church services, and increase congregational satisfaction in participating in PA activities.
Authenticity Accuracy Improvement Through the Analysis of Signature Ownership Using Convolutional Neural Network Algorithm
Authors: Sangdiah  , Nana Suarna  , Irfan Ali  , Dendy Indriya Efendi
Published: February 2025

This research aims to improve the accuracy of signature authenticity classification using a Convolutional Neural Network (CNN) model, implemented in a web-based application using the Flask framework. In the digital era, signature authentication has become a crucial component in maintaining data security and transaction validity. However, the classification of genuine and forged signatures presents its own challenges due to the unique variations in patterns and styles of each individual. Using a public dataset from Kaggle consisting of 1,084 signature images (620 forged and 464 genuine), the CNN model was trained to recognize important patterns that can differentiate genuine signatures from forged ones. The research stages include data preprocessing, CNN model training, and evaluation using Confusion Matrix metrics, including precision, recall, and F1-score, to ensure the accuracy of prediction results. The results show that the implemented CNN model achieved an accuracy of 98% in signature classification, proving its effectiveness in distinguishing between genuine and forged signatures. Additionally, the integration of the model into a Flask-based application allows users to upload signature images and receive real-time classification results, enhancing user convenience and practicality. In conclusion, this CNN model can serve as a reliable signature-based authentication solution and has the potential to be applied in various digital security applications. This research contributes to the development of more advanced and secure digital signature authentication systems.
Integration of Augmented Reality and Game Technology First Person in the Rukun Hajj Simulation Application with MDLC Method for Introduction Basics About the Rukun of the Hajj Children
Authors: Arya Aldi  , Tommy  , Imran Lubis
Published: February 2025

The pilgrimage (Hajj) is one of the pillars of Islam, consisting of several important stages that need to be understood from an early age. To assist children in learning and understanding the rituals of Hajj interactively, this study develops an application based on Augmented Reality (AR) and First Person Gaming using the Multimedia Development Life Cycle (MDLC) development method. The application aims to provide an enjoyable and educational learning experience through visual simulation and direct interaction with Hajj elements. The use of AR allows children to view and interact with three-dimensional objects of various Hajj rituals in a real-world environment, while the first-person game approach offers a more immersive simulation experience. The results of testing show that the application effectively enhances children's understanding of the Hajj rituals in an engaging and accessible way. This application is expected to serve as an innovative alternative educational medium for introducing the Hajj pillars to younger generations.
Implementation of Online Learning Using Google Sites at PKBM Barokah LTF2SM Talang Tegal
Authors: Hanum Dwi Septiani  , Wahyu Krishantoro
Published: February 2025

Non-formal education serves as an essential alternative for individuals who cannot access formal education due to age, economic, or time constraints. PKBM Barokah LTF2SM Talang Tegal not only offers educational programs but is also committed to empowering the community through training and outreach activities. This study employs a qualitative method to conduct an in-depth analysis of the implementation of online learning using Google Sites at this PKBM. The implementation begins with the creation of a website containing learning materials aligned with the curriculum in place. Google Sites offers the advantage of integration with other applications such as Google Drive, Google Docs, and YouTube, facilitating the storage and distribution of materials. However, the primary challenge lies in the dependency on a stable internet connection. Learners’ perspectives reveal diverse experiences and evaluations of this platform. Google Sites provides ease in presenting interactive and engaging content while enhancing educational accessibility. Through this platform, learning materials can be accessed anytime and anywhere with an internet connection. This research aims to contribute to the development of more inclusive and effective online learning methods
Design of Arduino-Based Fingerprint Security System in the Financial Archive Room Dinas Pariwisata, Kabupaten Maluku Tengah
Authors: Rumahlaiselan Samuel Gilroy , Tamtelahitu Trientje_Marlein , Siwalette Reynaldi
Published: February 2025

This research aims to develop an effective security system in managing access to sensitive financial records. The method used is Research and Development (R&D), which includes steps to identify problems, collect data through observation, unstructured interviews, and documentation, system design, system creation, and prototype testing. The designed system utilizes key components, including an Arduino Uno R3 as a microcontroller, an FPM10A fingerprint sensor for user authentication, a 4x4 keypad as an authentication alternative, a relay module to control the solenoid lock mechanism, and a blue LED to indicate the system status. The result of this research is a prototype of a system capable of securing financial archive doors with an adequate level of accuracy and speed in the fingerprint authentication process. Through a series of tests, the system has been proven to improve the security and efficiency of access to financial archives, as well as offer innovative solutions for the management of a more modern security system at Dinas Pariwisata. It is hoped that this research can contribute to the development of security technology and improve the quality of archive management in government agencies.
Implementation of E-Modules to Support the Teaching and Learning Process at PKBM Sarana Maju, Tegal City
Authors: Apriliani Vidia , Riyanto
Published: February 2025

The Community Learning Activity Center (PKBM) is a non-formal education institution that plays a vital role in improving the quality of life through relevant and high-quality educational programs. In Tegal City, PKBM Sarana Maju is one of the active PKBMs committed to providing educational solutions for people from diverse backgrounds. One of the initiatives implemented is the use of E-Modules as a learning medium. The use of E-Modules aims to overcome technical barriers and provide flexibility in the teaching and learning process, enabling broader and more effective outreach to learners. This implementation, however, presents challenges such as technical difficulties faced by tutors and learners. To optimize the utilization of E-Modules, it is recommended that PKBM provides a support team to offer technical assistance, such as customer support services or online forums. Thus, E-Modules can serve not only as a learning aid but also as a means to significantly increase community learning participation. This study provides insights into the importance of technological adaptation in non-formal education to support the achievement of inclusive and quality learning objectives.
Performance Analysis of CNN Architecture in Rice Leaf Disease Image Classification
Authors: Robi Aziz Zuama  , Hilmi Atha Dzahkwan  , Arief Rama Syarif
Published: February 2025

The decline in rice yields in Indonesia is caused by the attacks of plant pests (OPT), including leaf diseases such as leaf blast, bacterial blight, and dwarfing. Early identification of rice diseases is a crucial step to improving productivity and food security. This study utilizes Deep Learning with Convolutional Neural Network (CNN) to detect rice leaf diseases based on digital images. The dataset consists of four classes of rice leaf diseases, totaling 5,932 images. The research process involves data collection, preprocessing, data augmentation, model training, and evaluation using accuracy, precision, recall, and F1-score metrics.
The results indicate that the CNN model achieved the highest accuracy of 99% on validation data with a training-to-validation data ratio of 80:20. The evaluation using a confusion matrix demonstrates excellent performance in distinguishing disease types. With high accuracy levels, this model has the potential to become an effective tool for early detection of rice leaf diseases, providing practical solutions for farmers in managing plant diseases.
Implementation of an OLT (Optical Line Terminal) Based FTTH (Fiber To The Home) Network in Mandala Jaya Village to Optimize internet Connectivity
Authors: Hilmy Harsyadianto Fadhilah  , Rini Astuti  , Willy Prihartono  , Ryan Hamonangan
Published: February 2025

This research aims to optimize internet connectivity in Mandala Jaya Village through the application of Fiber To The Home (FTTH)
technology based on Optical Line Terminal (OLT). This village previously relied on conventional cable network infrastructure which was
prone to weather and physical disturbances, thereby reducing the quality of internet services. With research methods based on problem
identification, architectural design, implementation, measurement and analysis of results, this research succeeded in evaluating network
performance using an Optical Power Meter (OPM) and other testing tools. The results show that the OLT-based FTTH network provides
higher speeds, better connection stability, and operational cost efficiency compared to conventional media converters. The optimal
attenuation value is measured in the range of -19 dBm to -24 dBm, which is in accordance with international standards. These findings
support switching to network infrastructure in similar villages as a more reliable connectivity solution.
Improvement of Fashion Product Sales Association Model in the Largest Store on Melgit Official Lazada with the Frequent Pattern Growth Algorithm
Authors: Ahmad Syaeful Ma’arief  , Rudi Kurniawan  , Saeful Anwar
Published: February 2025

In this digital era, it is increasingly easier for people to shop. E-commerce or Marketplace is a communication technology in the scope of business that seeks to maximize information from large transaction data to create relevant product recommendation models. The Melgit Official store on Lazada is one of the stores with the most sales of fashion products. To understand consumer buying patterns and improve sales strategies, data analysis is needed that can uncover associations between products that are frequently purchased together. One of the algorithms that can be used to find this association pattern is FP-Growth (Frequent Pattern Growth). The FP-Growth algorithm is effective in finding itemsets that frequently appear on purchase transactions to support business decision-making. which was chosen because of its efficiency in finding high-frequency patterns from large datasets without the need to perform repeated scans. By using the FP-Growth method, it is hoped that product purchase patterns can be found and can help in compiling product recommendations that are more in line with consumer preferences, as well as assisting stores in determining more effective sales strategies. This research was conducted with the aim of identifying the associations that sell the most fashion products in the Melgit Official store on the Lazada platform. This research method uses the FP-Growth approach, where the analyzed sales data results in product associations with certain support and confidence values. Support is measured as the proportion of total transactions that contain a particular item, while confidence indicates how often an item appears along with other items in a transaction. The results showed that the best support value in the FP-Growth algorithm was 0.1, which means that related products appeared in 10% of transactions. In addition, the confidence value obtained in the create association rules was 0.3, indicating that the association between the products in the formed rules was very strong and often occurred at the same time as the most product sales patterns, namely army rayon shirts and black rayon shirts. When buying an army rayon shirt, the probability of buying a black rayon shirt is 100%. From these results, it can be concluded that the FP-Growth algorithm provides significant results in determining the association pattern in fashion product sales data. This research is expected to help Melgit Official stores improve sales efficiency and customer satisfaction at Melgit Official stores, as well as contribute to the development of fashion product marketing strategies on e-commerce platforms.
Development of a Web-Based Bus Ticket Reservation System for BJM_Pariwisata
Authors: Jul Saputra  , Rini Astuti  , Willy Prihartono
Published: February 2025

This research aims to design a web-based bus ticket booking system at BJM_Pariwisata to increase operational efficiency and customer convenience. This system was developed using the Prototyping-based SDLC method through the stages of needs identification, design, development, testing and implementation, and is equipped with registration features, schedule search, ticket ordering, online payment and report management. Research results show an increase in ordering efficiency of up to 50% as well as a reduction in data recording errors, with user surveys indicating high satisfaction with the system's flexibility. With fast response times, cross-device compatibility, and guaranteed data security, this system is considered effective in meeting digital transportation needs and can become a model for other service providers.
Online Final Assiggment Guidance Application (BIMO) as Monitoring Departments in Politeknik Negeri Medan
Authors: Miftahul Jannah  , Preddy Marpaung  , Nababan Adli Abdillah , Nidya Banuari  , Suci Amalia  , Jeri Sekiawan
Published: February 2025

The final project guidance process is a crucial phase in students' academic journey. However, at Politeknik Negeri Medan, this process is still conducted manually, leading to limitations in monitoring, time efficiency, and flexibility. This study aims to develop an online final project guidance application named BIMO as a digital solution to facilitate guidance and monitoring processes at the department level. The application is designed with three main user levels: administrators, lecturers, and students. The key features developed include account registration, guidance activity management, document uploads, and a monitoring system to support transparency and accountability. The development methodology adopts the System Development Life Cycle (SDLC) prototype model to ensure the application meets user needs. Application testing was carried out using the black-box testing method to evaluate functionality, and user satisfaction surveys were conducted to assess the application's effectiveness.The results indicate that BIMO improves the efficiency of the guidance process, simplifies access to information, and facilitates lecturers and departments in monitoring the progress of students' final projects. Thus, this application is expected to serve as a relevant digital solution to support the academic system transformation at Politeknik Negeri Medan.
Monte Carlo Simulation in Predicting Trends in Demand for Coconut Milk at PT. Flash Food
Authors: Fikri S. Saad  , Azizah Nur , Yani Zulfitri
Published: February 2025

Coconut milk is one of the perishable food ingredients. PT. Flash Food receives daily orders for coconut milk from hospitals in the city of Padang. Every day, PT. Flash Food must provide coconut milk in the required quantity and at the right time. Therefore, a method is needed to predict the coconut milk demand for the next day. The Monte Carlo simulation method is used to predict the demand for several days ahead based on the existing data. The data used is from October and November. This data will be simulated to generate predictions for the next 7 days. To test the accuracy of the Monte Carlo simulation, the simulated data is compared with the actual data. The comparison results show an average accuracy of 90.6%. The Monte Carlo simulation is then translated into a programming language so that PT. Flash Food can easily use the simulation.
Real or Deepfake Face Detection in Images and Video Data using YOLO11 Algorithm
Authors: Wawan Kurniawan  , Kurniasih Aliyah , Muhamad Abdul Ghani
Published: February 2025

This study focuses on the detection of real and deepfake faces in images and video data using the YOLO11 algorithm. Deepfakes, generated using advanced deep learning techniques, have the potential for misuse, including spreading false information and identity theft. The research employs public datasets, namely EC2-DeepFake and Deepfake Dataset, to train a YOLO11-based model. The performance of the model is evaluated using metrics such as mAP50 and mAP50-95. Results indicate moderate accuracy in distinguishing real from fake faces, with notable challenges in handling diverse data. The findings emphasize the need for improved training techniques and larger datasets to enhance detection performance. This work contributes to developing tools for mitigating the risks posed by deepfake technology.
Decision Tree Algorithm to Improve the Learning Discipline Classification Model of Group Guidance Students at MTs Darul Mutta’alimin
Authors: Widina Khoeru Nissa  , Ade Irma Purnamasari  , Agus Bahtiar  , Kaslani
Published: February 2025

This study aims to find patterns of student learning discipline at MTS Darul Mutta'alimin. In addition, this research also seeks to identify the main factors that influence discipline and build an analysis model that can be used by teachers and mentors to effectively improve student discipline. In its implementation, this research uses the Knowledge Discovery in Databases (KDD) method which consists of several stages, namely data collection, preprocessing, transformation, data mining, and evaluation of results. The data used includes test scores, student participation in class, and various other behaviors related to discipline. The results showed that the Decision Tree model developed had a high level of accuracy, reaching 98.36%. The main factors found to influence discipline are “Test Grades” and “Class Participation”. In the process of classifying students into disciplined or undisciplined categories, the confusion matrix shows excellent model performance with a very low error rate. These results can be applied in education to assist teachers in monitoring students who need special attention. This study proves that the Decision Tree algorithm is very effective for finding patterns in data. For further development, it is recommended to add non-academic factors and test other algorithms to improve accuracy and broader generalization of the model
Gambaran Kadar Gula Darah Penderita Tuberkulosis (TBC) di RSUD H. Andi Sulthan Daeng Radja Kabupaten Bulukumba
Authors: Awalia Rizki , Ridwan Asriyani , Islawati Islawati
Published: February 2025

Tuberculosis (TB) is a chronic infection that not only affects the lungs but can also impact the body's metabolic system, including glucose regulation. In patients with comorbid diabetes mellitus (DM), the risk of elevated blood glucose levels is higher due to the added metabolic disruption from both conditions. Therefore, this descriptive study aims to illustrate fasting blood glucose levels in TB patients with DM at H. Andi Sulthan Daeng Radja Hospital, Bulukumba Regency. This study used purposive sampling and involved 30 TB patients with DM as the sample. Fasting blood glucose levels were measured using spectrophotometry to obtain accurate and detailed data regarding blood glucose levels. The data collected were analyzed descriptively and presented in frequency distribution tables along with narrative descriptions to clearly illustrate the distribution of blood glucose levels among these patients. The results indicate that out of 30 patients, 19 individuals (63%) had blood glucose levels within the normal range (70-110 mg/dL), while 11 individuals (37%) showed elevated blood glucose levels (>110 mg/dL). These findings suggest that most TB patients with DM have blood glucose levels within the normal range, although a portion experienced elevated levels. In conclusion, routine blood glucose monitoring is essential for TB patients with DM to prevent further complications and maintain stable health conditions.
Behavioral Management and Financial Decision-Making: A Literature Review on the Impact of Organizational Culture on Corporate Financial Strategies
Authors: Riu Isma Azis
Published: February 2025

This study aims to explore the integration of behavioral management and corporate finance and provide strategies to improve overall corporate performance. The research method used is a review of related literature and research. A qualitative and descriptive approach was used to analyze the relationship between behavioral and financial management in a corporate context. The results show that effective integration between behavioral and financial management can increase employee productivity, improve financial decision-making, and build a strong organizational culture. The necessary strategies include proper recruitment, continuous employee development, effective communication, behavioral financial decision-making, and comprehensive performance evaluation. By implementing this approach, companies can achieve better financial performance and reach their long-term goals.
Application of Organizational Behavior Concepts in the Socialization of Child Legal Protection and Responsible Use of Social Media
Authors: Satiadharmanto Deddi Fasmadhy , Afiat M , Shaleh Sulaeman As , Zamzanie  , Rahmalia
Published: February 2025

This community service activity by the students of the Faculty of Law, Universitas Tangerang Raya, discusses the application of Organizational Behavior concepts in the socialization of child legal protection and responsible use of social media at Pondok Pesantren Tahfizh Qur'an Bina Masyarakat Mandiri. The aim is to enhance the students’ understanding of children's rights and responsible use of social media, as well as to analyze the application of organizational behavior principles in the activities. The methods used include lectures, discussions, and Q&A sessions. The results indicate that this activity successfully applied various aspects of Organizational Behavior, such as organizational communication, learning and development, change management, ethics and social responsibility, teamwork, adaptation to the environment, and motivation. In conclusion, the principles of organizational behavior can be effectively applied in the interaction of organizations with the wider community, especially in efforts to increase legal awareness and responsible use of social media among students at the pesantren.
The Influence of Entrepreneurial Interest and Social Media Utilization By Gen Z on MSME Goat Farming Marketing
Authors: Nafisah A’isy Fiklil , Sudarmiatin  , Wardana Ludi Wishnu
Published: February 2025

This study aims to analyze the influence of entrepreneurial interest and social media utilization by Generation Z on the marketing effectiveness of micro, small, and medium enterprises (MSMEs) in goat farming. The research was conducted on Duo Saudara Goat Farming MSME in Bojonegoro Regency using a quantitative approach. Data were collected through questionnaires distributed to 60 respondents, consisting of consumers and goat farm managers. Data analysis was performed using SPSS software to examine the relationship and impact between independent variables (entrepreneurial interest and social media utilization) and the dependent variable (MSME marketing). The results showed that both entrepreneurial interest and social media utilization significantly influence the marketing effectiveness of goat farming MSMEs. Social media utilization by Generation Z contributed more dominantly than entrepreneurial interest, particularly in reaching broader markets and enhancing consumer interaction. The implications of this study indicate the importance of improving digital competencies among MSME practitioners to maximize marketing potential. This study provides empirical contributions to the development of MSME marketing strategies by leveraging modern technology and the entrepreneurial interests of the younger generation.
Analysis of Visionary Leadership on Teacher Innovativeness In A Review at The High School Level (SMA)
Authors: Noviyanti Rani
Published: February 2025

Visionary leadership plays a crucial role in fostering teacher innovativeness, especially in Senior High Schools (SMA). This study analyzes the influence of visionary leadership on teachers' ability to innovate in their teaching methods. Visionary school principals are characterized by their ability to articulate a clear vision, inspire their staff, and create an environment conducive to creativity and professional growth. The results show that teachers under visionary leadership demonstrate higher motivation to utilize educational technologies, adopt project-based learning strategies, and implement innovative assessment methods. However, several challenges remain, including resistance to change, limited resources, and administrative workloads. Addressing these barriers requires strategic initiatives, such as professional training, reducing non-teaching tasks for teachers, and fostering collaborative practices among educators. The findings highlight a positive correlation between visionary leadership and teacher innovativeness, emphasizing the importance of supportive leadership in adapting to educational advancements and improving teaching quality. This study underscores the necessity for educational stakeholders to promote visionary leadership as a means to achieve adaptive, innovative, and high-quality education in Senior High Schools.
Вестникарство и роман – Петър Завоев „Кривата круша“
Authors: Бенбасат Алберт
Published: February 2025

The mass book in Bulgaria, following the foreign publishing model, starts from the newspaper feuilleton – the so-called novel-feuilleton, as well as the pamphlet novel with a sequel. In the beginning, these cheap sensational readings are only translations, with the main role in their publication and distribution being played by the newspapers themselves. At the end of the 19th and the beginning of the 20th century, the daily Bulgarian press relied extremely heavily on sensationalism, on yellow journalism, which applied the same ‘novel’ approach. One of its most prominent representatives is Petar Zavoev, who is also the author of the first original Bulgarian sensational novel “The Crooked Pear” (1908), which was initially published in paperbacks and later as a separate book. It is this novel that is the subject of consideration in the present article, which analyzes the problem-thematic orientation, the plot, the characters and the author‘s visual means. “The Crooked Pear” follows the collapse, the tragedy of the patriarchal family in the period of the so-called initial accumulation. This social-life issue is widespread in the Bulgarian literature of the time, but Petar Zavoev approaches it with melodrama, which is openly naturalistic – the disintegration of the rich family is not due to social and living circumstances, but due to the will of biological instincts, pathological deviations, incest, etc. The author relies on the sensational twists, the entanglement of the intimate intrigue, the piquancy combined with eroticism and – more or less – the foretold dramatic-tragic denouement.
Епистемичният релативизъм от перспективата на един белетрист и на един физик
Authors: Стоянова Юлияна
Published: February 2025

The article examines two parodies of scientific works – written at the beginning and at the end of the last century, respectively. The first parody, entitled Notes on a Treatise on Cocotology, is an addendum to Miguel de Unamuno’s novel “Love and Pedagogy” and directed against the dogmatism, scholasticism, and narrow-mindedness of positivism. The second parodic work, the article “Crossing Boundaries: Towards a Transformative Hermeneutics”, authored by the famous physicist and mathematician Alan Sokal, is directed against the so-called epistemic relativism, according to which modern science is nothing more than a “myth,” “narrative,” or “social construction. Despite the differences in the parodic style – fictional in Unamuno and following the apparent rigor of the mathematical sciences in Sokal – the parodies of the two authors aim to assert the freedom of the researchers from the dominant ideologies and power relations of the culture that created him.
Около един естраден шлагер на Мирей Башийо и за ирониите на Миряна Башева
Authors: Борисова Евдокия
Published: February 2025

The article comments on the interesting and dangerous game of Bulgarian poetry with Aesop’s language at the end of the 70s, the beginning of the 80s in the person of Miryana Basheva and the double existence of the lyrical work and as a musical pop hit. The fate of the “Shturtzite” song “Futurologist” based on Basheva’s poems is traced and the masks of social utopias and aesthetic ironies as messages and ideas are commented on. In the end, it comes to the conclusion that the lyrical work, not without the merits of the handwriting of the so-called light writing, returns to his atavistic singing role in pop music and pop hits.
Между медицината и лингвистиката
Authors: Личева Амелия
Published: February 2025

Book Review: Ташева, Ивета. Езикът на лекарите днес. София: УИ „Св. Климент Охридски, 2024. 144 с. ISBN: 978-954-07-5914-2. The review marks the emergence in our country of an important study on the links between medicine and linguistics, looking at the language of doctors and developing the field of medical humanities.
Емил Басат. Радостите и тегобите на българската бохемистика. Портрети на преводачи
Authors: Македонска Емилия
Published: February 2025

Book Review: Басат, Емил. Радостите и тегобите на българската бохемистика. Портрети на преводачи. София: Парадигма, 2023. 478 с. ISBN 978-954-326-520-6. With this book, the author Emil Bassat tries to cover the images of Bulgarian translators from the Czech language. In portrait-surveys conducted entirely on the Internet, he presents us the best Bulgarian bohemians who have dedicated their lives to translation work. Without pretensions to comprehensiveness, the book also reflects Bulgarian-Czech cultural contacts. According to the author, this is a “book-confession of love for the Czech Republic and Czech culture” and he hopes that it will arouse interest among the bohemian community in Bulgaria, and also among all those who are interested in the reception of Czech literature in our country.
Фотография и литература. Из литературните периферии
Authors: Шуликов Пламен
Published: February 2025

The functional unity of the media environment at the beginning of the twentieth century gives rise to adjustments in the institutional fields of culture, which otherwise live in real cooperation. The picture of the vast territories of mass culture is particularly fluid. The present text examines boundary “violations” between literature and photography, which manifest themselves through the exchange of value and style ideas, precipitated in commonly used clichés. How do literary and photographic notions of image realism interact? Are they able to take autonomous life directions? Here we deliberately select para-literary uses undertaken by important Bulgarian artists (Vazov, Chudomir), and by unknown commissioned poets or advertisers, by photographers and reporters. We fixate on the existence of verbal and visual genres that inhabit the territories of the aesthetic periphery: cartoon, doodle, pattern, sketch, photo portrait, essay.
Risk Evaluation of the Use of Derivative Products in Financial Management Strategies
Authors: Nianty Dara Ayu
Published: February 2025

Purpose: This study evaluates the risks associated with using derivative products in financial management strategies and their potential impacts on corporate financial stability. By addressing dimensions such as regulatory environments, managerial decision-making, and market dynamics, the study provides a holistic understanding of derivatives' dual role as risk mitigation tools and potential sources of financial instability.
Research Design and Methodology: The study employs a qualitative approach using the Systematic Literature Review (SLR) method to synthesize findings from existing research. This method enables the integration of theoretical and practical insights from multiple industries and markets, ensuring a comprehensive analysis of derivatives' impacts.
Findings and Discussion: The findings reveal that when used strategically, derivatives enhance cash flow stability, mitigate market risks, and support operational resilience. However, misuse due to high leverage, speculative trading, or inadequate oversight can amplify financial instability. The study underscores the importance of robust regulatory frameworks, corporate governance, and managerial expertise in optimizing derivative strategies. Sector-specific and market-dependent nuances further highlight the need for tailored approaches in managing derivative-related risks.
Implications: This research offers practical and managerial insights by advocating best practices such as transparent reporting, independent risk committees, and robust risk management frameworks. Policymakers are encouraged to develop adaptive regulatory measures to mitigate systemic risks. Additionally, the findings highlight the need for organizations to align derivative strategies with long-term financial goals while fostering collaboration between regulators, managers, and stakeholders to enhance economic stability.
Challenges in Sustainability Auditing: Measuring Environmental and Social Impacts in Modern Enterprises
Authors: Sari Ratna
Published: February 2025

Purpose: This study explores the challenges and opportunities in sustainability auditing, explicitly focusing on measuring environmental and social impacts in modern enterprises. It seeks to address critical gaps in data consistency, standardized metrics, and the integration of advanced technologies and methodologies in sustainability practices.
Research Design and Methodology: The study employs a Systematic Literature Review (SLR) approach to analyze existing academic literature and synthesize theoretical and practical insights. This method enables a comprehensive evaluation of current frameworks, methodologies, and technological applications in sustainability auditing, focusing on their strengths and limitations.
Findings and Discussion: The research identifies significant barriers in sustainability auditing, including inconsistent data quality, a lack of global standards, and the qualitative complexities of measuring social impacts. Advanced methodologies such as Life Cycle Assessment (LCA) and Social Return on Investment (SROI) are highlighted as promising tools to address these challenges. Technologies like blockchain, artificial intelligence, and IoT are also emphasized for enhancing accuracy, transparency, and efficiency. The findings underscore the importance of integrating sustainability auditing into corporate strategies to foster stakeholder trust, improve accountability, and achieve competitive advantages.
Implications: This study contributes to the theoretical understanding of sustainability auditing by bridging methodological gaps and practical challenges. Its managerial implications encourage organizations to adopt innovative tools and align auditing practices with broader sustainability goals. Additionally, policymakers are urged to support these efforts through targeted incentives and the promotion of global standards. These findings provide actionable insights for practitioners, academics, and policymakers to advance sustainability practices.
The Role of Effective Communication in Leadership: A Literature Review
Authors: Salsabila Aisya Fajri , Febriantina Susan , Danisworo Herdina , Fauzia Marcellia , Albana Muhammad Ajib
Published: February 2025

Effective communication is crucial for leadership, particularly in the digital era. This study conducts a systematic literature review to examine key frameworks and empirical findings on leadership communication. It explores the adaptation of communication styles, the impact of digital transformation, and strategies for overcoming communication barriers. The findings indicate that effective communication enhances team performance, strengthens relationships, and aligns organizational goals. In digital and hybrid environments, leaders should leverage non-verbal cues and interactive technologies to improve engagement and productivity. Additionally, tailored communication training is essential for fostering adaptive leadership. This study offers valuable insights for designing leadership development programs and organizational communication strategies to address modern challenges and ensure long-term success.
Buying Interest in TikTok Shop: The Role of Live Streaming, Reviews, and Influencers
Authors: Nasikhin Muh. Nur Ali Khoirun , Sundari Ariefah , Syaikhuddin Ahmad Yani , Tyas Sekar Nining
Published: February 2025

This study aims to analyze the influence of live streaming, online customer reviews, and influencer marketing on consumer buying interest in the TikTok Shop application. The research was conducted at Darul Ulum Lamongan Islamic University using a quantitative approach, with a sample of 98 students selected through purposive sampling. Data were analyzed using partial and simultaneous tests with SPSS 26. The coefficient of determination test, based on the R Square value, revealed that live streaming, online customer reviews, and influencer marketing collectively influence consumer buying interest by 42.6%. The statistical analysis yielded the following findings: (1) live streaming, online customer reviews, and influencer marketing collectively impact consumer buying interest; (2) online customer reviews do not have a significant effect on consumer buying interest; (3) influencer marketing has a positive and significant influence on consumer buying interest; and (4) live streaming, online customer reviews, and influencer marketing, when considered together, significantly affect consumer buying interest. These findings highlight the critical role of influencer marketing and live streaming in shaping consumer behavior on the TikTok Shop platform, while online customer reviews appear to have a less significant impact.
AS CONSEQUÊNCIAS DA VIOLÊNCIA SEXUAL INTRAFAMILIAR EM ADOLESCENTES: UMA PERSPECTIVA DA TERAPIA COGNITIVO-COMPORTAMENTAL
Authors: Dos Santos Siqueira Lucas , Antunes Sousa Luiz de Oliveira Marcella
Published: February 2025

Segundo o Estatuto da Criança e do Adolescente – ECA a adolescência está definida entre os 12 e 18 anos. É uma fase do ciclo vital que passa por grandes mudanças, mediadas por interações familiares, sociais e situações que impactam o desenvolvimento, como aquelas vivenciadas em contextos de violência sexual intrafamiliar. Desta forma, as perguntas que nortearam este estudo foram: O que permeia a violência sexual intrafamiliar e quais são as consequências dessa violência para o adolescente? Quais seriam os mecanismos eficientes para realizar intervenções diante das sequelas das vítimas desse tipo de violência? Em vista disso, este artigo tem como objetivo geral investigar as consequências da violência sexual intrafamiliar em adolescentes, com objetivos específicos de 1descrever na perspectiva da terapia cognitivo-comportamental (TCC) tais consequências e 2buscar estratégias de intervenção que, de acordo com a abordagem, possam reestabelecer a saúde mental do jovem. Foi utilizado como método de pesquisa a revisão bibliográfica, com recorte temporal de 2014 a 2024, tendo como critério de exclusão aqueles publicados há mais de 10 anos, com exceção de leis federais. Desse modo, a hipótese é de que os adolescentes que vivenciam situações de violência sexual podem apresentar consequências negativas para o seu funcionamento cognitivo, emocional e comportamental.  A pesquisa se justifica com o propósito buscar, a partir de medidas cabíveis, intervenções para as consequências de tal violência com os adolescentes, tendo em vista que apresentam distorções na percepção, afetando o campo intrapessoal, social e educacional.