bluuebunny/crossref_metadata_2025 huggingface dataset:
Mental health and life satisfaction of university students influenced by war
Authors: Melnyk Y. B. , Stadnik A. V. , Mykhaylyshyn U. B. , Vveinhardt J. , De Frias C. M. , Pypenko I. S.
Published: January 2025

Background and Aim of Study: The current situation in Ukraine, where active hostilities are taking place, has had a significant impact on students’ mental health and life satisfaction.
The aim of the study: to identify the impact of war on the mental health and life satisfaction of university students.
Material and Methods: The study was conducted in Ukraine in November 2024. A total of 219 students between the ages of 18 and 35 were surveyed. Respondents were divided into two groups. Group 1 (n=107): those who had been temporarily displaced (in Ukraine and in EU countries), including 20.6% of men and 79.4% of women. Group 2 (n=112): those who had not left their usual place of residence (Ukraine without active hostilities), including 21.4% of man and 78.6% of women. The mental health and life satisfaction of university students influenced by war were assessed using three psychological measures: the Satisfaction with Life Scale (SWLS), the Patient Health Questionnaire (PHQ-9), and the Generalised Anxiety Disorder (GAD-7).
Results: The SWLS, PHQ-9, and GAD-7 scores showed high internal consistency (Cronbach’s alpha of 0.827 to 0.961) in both groups of students. Significant negative correlations of high / moderate strength were found between the SWLS and PHQ-9 depression symptoms / the GAD-7 anxiety disorder. Students who had been internally displaced were extremely dissatisfied (13.1%) and dissatisfied (23.4%) with their lives. These levels of dissatisfaction are almost one-third higher than those who did not leave their usual place of residence (8.9% and 17.9%, respectively). Further detailing of mental health features revealed the presence of depression and anxiety among all the studied groups of students. At the same time, severe depression (8.4%), moderately severe depression (29.0%), and severe anxiety (20.6%) were almost twice as common among students in Group 1 as among students in Group 2 and require psychological support.
Conclusions: The war had the greatest impact on the mental health and life satisfaction of students who were forced to seek refuge at home and abroad. The data obtained calls for developing and implementing appropriate social and psychological support methods for students affected by the war. These methods should be comprehensive and involve the integration of psychological support into the structure of universities, including individual and group counselling, crisis intervention, psychological training, and student support programmes.
Wordwall Integration in Learning: Is it Effective in Encouraging Student Activity?
Authors: Annisa Uzdah Fikri , Krismanto Wawan , Tuken Ritha , Pasinggi Yonathan S.
Published: January 2025

Technology has become part of a strategy to improve the quality of learning, including in elementary schools. However, the specific influence on student learning activity still needs to be proven empirically. This study aims to measure the effectiveness of Wordwall integration in learning to encourage increased student learning activity by comparing student learning activities that integrate Wordwall with conventional learning. This study uses a quasi-experimental design in the form of a posttest-only control design. The population in this study were all students of 4th grade SDN 3 Parepare, as many as 108 people, while the sample used was class 4.1 as an experimental class with 37 students and 4.2 as a control class with 36 students. The treatment given to the experimental class was to integrate Wordwall during the learning process from the beginning to the end of learning. The research data were obtained from the posttest of the observation results of learning activity by observers in the experimental and control classes. The data analysis technique was the Independent Sample T-test. The result is that students in classes that integrate Wordwall into their learning have better learning activities. The inferential statistical analysis results showed Sig (2-tailed) = 0.00 <0.05, so H0 was rejected and H1 was accepted. Thus, this study concludes that there is a difference in learning activity between students taught with the integration of Wordwall game media and students taught with conventional media. Wordwall integration into learning can effectively encourage learning activity. Future researchers can examine more in-depth aspects related to the use of Wordwalls in elementary school learning, such as cognitive aspects, challenges and barriers.
A Proposed Syllabus for the Integrated Course in an English Education Department
Authors: Rochmahwati Pryla
Published: January 2025

This study aimed to develop a novel and practical syllabus for the Integrated Course subject designed explicitly for English Education Department students at IAIN Ponorogo. Using Borg and Gall's Research and Development (R&D) model, the research followed a systematic approach that included needs analysis, planning, prototype development, expert validation, product trials, and finalization. A key innovation in this syllabus is its integration of three distinct syllabus types: competency-based, content-based, and task-based. The syllabus includes 14 carefully sequenced topics, progressing from the simplest to the most complex, covering essential Listening, Reading, Speaking, and Writing areas. Offered as an 8-credit course with four meeting hours per week, it incorporates active and cooperative learning methods, emphasizing student-centered instruction. Another novel feature is the use of varied instructional media—audio, visual, and audio-visual materials—that connect students' prior experiences with the course content, making learning more dynamic and relatable. Assessment in the syllabus is comprehensive, combining both product and process evaluations to provide a well-rounded measurement of student progress. Expert validation and field testing confirmed that the final product is practical and highly applicable for the first-semester English Education students at IAIN Ponorogo, offering a tailored and impactful learning experience.
Cognitive Insights from Emotional Intelligence: A Systematic Review of EI Models in Educational Achievement
Authors: Gkintoni Evgenia , Dimakos Ioannis , Nikolaou Georgios
Published: January 2025

Objectives: This study aims to investigate the relationship between Emotional Intelligence (EI) and academic achievement within educational settings. It seeks to determine how different EI models—specifically, Ability EI and Trait EI—impact students' academic performance, behavior, engagement, and motivation. The goal is to provide insights that can guide the integration of EI into educational practices to foster a more supportive and effective learning environment. Methods/Analysis: The study is based on a systematic review of sixty-four (64) peer-reviewed studies published between 2016 and 2023. These studies include randomized controlled trials (RCTs), longitudinal studies, and meta-analyses. The selected studies were analyzed to explore the effects of EI on various academic outcomes, including performance, behavioral engagement, and motivation. Findings: The analysis reveals that both Ability EI and Trait EI are positively associated with academic success. These models of EI appear to contribute significantly to the development of key skills such as emotional control, empathy, and problem-solving, which in turn support effective classroom management and academic achievement. The findings suggest that incorporating EI into educational curricula can lead to improved communication, better problem-solving abilities, and enhanced relationships between students and faculty. These improvements can create a more conducive learning environment and enhance overall academic outcomes. Novelty/Improvement: This study adds to the existing literature by offering a comprehensive review of recent studies that examine the role of EI in academic settings. It highlights the importance of implementing EI-focused interventions and curricula in schools, emphasizing the practical implications for educators and policymakers. Doi: 10.28991/ESJ-2024-SIED1-016 Full Text: PDF
Implementation of Base64 and Rot47 Algorithm Combination For Hospital Patient Database Encryption
Authors: Iskandar Dwi , Ismail Suriana , Pamungkas Canggih Ajika , Susena Edy
Published: January 2025

Abstract—All agency agreed bring data is matter Which very important For protected so that problem security data is matter Which need noticed. Matter Which can done to protect data so that it cannot be misused by others is by use technique cryptography. Cryptography consists of a set of algorithms and techniques For change data become form other so that contents No read and can't explained by Who course that No own authority For read or write data which has been changed. In this study the encryption method used is an algorithm ROT47 to encrypt data where the existing data position will be changed in accordance with amount rotation Which There is, Then data return encrypted use Base64 algorithm which is a scheme of encoding binary data into ASCII code strings in accordance index on Base64. Research results This is Combination ROT47 and Base64 algorithms can be implemented to in system patient database encryption with okAll agency agreed bring data is matter Which very important For protected so that problem security data is matter Which need noticed. Matter Which can done to protect data so that it cannot be misused by others is by use technique cryptography. Cryptography consists of a set of algorithms and techniques For change data become form other so that contents No read and can't explained by Who course that No own authority For read or write data which has been changed. In this study the encryption method used is an algorithm ROT47 to encrypt data where the existing data position will be changed in accordance with amount rotation Which There is, Then data return encrypted use Base64 algorithm which is a scheme of encoding binary data into ASCII code strings in accordance index on Base64. Research results This is Combination ROT47 and Base64 algorithms can be implemented to in system patient database encryption with ok.
Application of Emergency Unit Information Systems to Support Hospital Management Systems
Authors: Rohmadi Rohmadi , Iskandar Dwi
Published: January 2025

The development of technology, especially information technology has penetrated into all fields, one of which is the field of health services. By using information technology, data can be processed more quickly, easily and safely so that services can be provided to the community better and more efficiently. Hospitals as one of the providers of health services for the community, have an obligation to provide quality and affordable health services. The methodology in this study starts from analysis, design, coding, support and test. In the analysis stage an analysis is carried out around non-functional requirements and functional requirements, the design stage includes interface design, table design. The next stage is coding, support and test. The conclusions that can be drawn include that the information system can be implemented properly, before being implemented the system has been tested, the information system can provide good data services to patients, the information system can provide good information regarding action reports and visit reports.
Design And Development of Data Input Application For Covid-19 Vaccination Recipients In Sukoharjo Regency Based on Website
Authors: Utomo Ihsan Cahyo , Fadlilah Umi , Pratama Ragiel Abiul , Minalloh Aldin Nasrun
Published: January 2025

Corona Virus Deseas 19 (Covid-19) is an infectious disease caused by acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This disease was first identified in December 2019 in Wuhan, the capital of China's Hubei province, and since then Covid-19 has spread widely throughout the world including regions in Indonesia. One of the efforts of the World Health Organization (WHO) to break the chain of transmission of Covid-19 is to implement health protocols and carry out the Covid-19 vaccine program. Indonesia is one of the countries implementing the Covid-19 vaccination program in order to break the chain of transmission of Covid-19. Based on data from the Ministry of Health of the Republic of Indonesia on November 23, 2021, a total of 135,716,042 vaccinations were recorded for dose 1 and 90,520,201 for dose 2, while the vaccination target was 208,265,720. Sukoharjo Regency is one of the districts with quite high cases, and is one of the targeted districts for vaccination. To assist medical staff in determining vaccination targets and assisting the public in obtaining information on the distribution of vaccinations in the Sukoharjo area, a system is needed that provides an overview of the mapping of vaccination recipients in the Sukoharjo area. In this study a website-based mapping system was designed using webGIS which can help provide an overview of vaccination recipients in the Sukoharjo area. The expected result of this design is a WebGis-based covid-19 vaccination distribution map that can assist vaccination officers in the district area in obtaining information on the distribution of Covid-19 vaccinations.
The Decision Support System for Selecting the Best Teacher for Birull Walidaini Using the SAW Method
Authors: Muqorobin Muqorobin
Published: January 2025

Birull Walidaini Kindergarten is a learning place for children aged 4 years. In selecting the best teacher at the Birull Walidaini Kindergarten, Sragen there are still several obstacles such as the assessment of each teacher is still done manually, namely the principal must fill out the assessment instrument form for each teacher that has been provided, which causes the assessment process to be inaccurate and inefficient. In addition, to obtain or find out information on the results of selecting the best teacher, it takes quite a long time, because the administration section has to re-enter each teacher's grades into Microsoft Excel and make pranks on teacher grades manually. Data collection methods used are interviews, observation and literature study. The decision-making method used by the author is SAW, while the system development method used is the SDLC method with design tools UML. Implementation of the program using the PHP programming language with MySQL database. Decision support systems can be used to make it easier for schools to manage data, present information, generate reports and reduce errors in calculating grades and get accurate teacher ranking results and the application of the SAW method can improve the quality of decision making in selecting the best teachers. Based on the results of research conducted at the Birull Walidaini Kindergarten, Sragen, the best teacher score was according to the ranking, namely teacher Theresia Luan with a score of 1.00.
Used Car Price Prediction Model: A Machine Learning Approach
Authors: Budiono Daniel Aprillio , Utomo Kevin Sander , Wibowo Kenny Jinhiro , Wiradinata Marcell Jeremy
Published: January 2025

The impact of the Covid-19 pandemic over the past two years has slowed down the economy, including the market of used cars. However, the recent decline in the number of cases infected with Covid-19 has reignited interest in the used car market. One of many persisting issues found in the used car market is that sellers want the highest price possible; but, buyers and used car dealers bid the lowest price due to economic stability uncertainty. To accelerate the recovery of the used car industry, various innovations are required. This study proposes the use of the K-Nearest Neighbors (KNN) regression model to predict used car prices to address this issue. The proposed KNN model is a machine learning algorithm which is capable of handling multi-dimensional data and its robustness to noisy data, making it suitable for predicting used car prices based on multiple factors. By analyzing collected data on used car prices, a machine learning-based regression model can be developed to predict used car prices based on factors commonly used in the used car industry, such as year of production, car type, car condition, and others. This study makes use of 504 used car data collected through web scraping as a secondary data collection method. With a relatively small error rate of 8.3% and an R2 value of 98.8%, the results of this analysis can provide insight for used car buyers and sellers, to better gauge the price of used cars in the market.
Predicting Cross-border E-commerce Purchase Behavior in Organic Products: A Machine Learning Approach Integrating Cultural Dimensions and Digital Footprints
Authors: Ma Xiaowen , Jiang Xiaoxiao
Published: January 2025

This study proposes an integrated machine learning approach for predicting cross-border e-commerce purchase behavior in organic products, incorporating cultural dimensions and digital footprints. Through the analysis of 1.2 million transactions across 15 major cross-border e-commerce platforms spanning 2021-2023, the research develops a novel predictive framework combining adaptive neural networks with cultural dimension analysis. The methodology employs a multi-stage data processing pipeline achieving 88.5% accuracy in cross-cultural prediction scenarios. Implementation of the proposed framework demonstrates significant improvements in market performance metrics, including a 23.5% increase in customer retention rates and 18.7% enhancement in conversion rates. The study introduces a sophisticated digital footprint analysis methodology, successfully processing 8.5 million interaction data points with a mean accuracy of 0.892 across different cultural contexts. Results indicate strong correlations (r=0.82) between cultural factors and purchasing patterns, validating the framework's effectiveness in cross-cultural prediction scenarios. The research contributes to both theoretical understanding of cross-border e-commerce dynamics and practical applications in international trade operations, while establishing new methodological approaches for integrating cultural dimensions with machine learning in e-commerce contexts.
Real-time Multimodal Route Optimization and Anomaly Detection for Cross-border Logistics Using Deep Reinforcement Learning
Authors: Xi Yue , Jia Xuzhong , Zhang Hanqing
Published: January 2025

This paper presents a new approach to improve multiple choice and defect detection in cross-border shipments using deep learning (DRL). The design process involves the integration of real-time data from multiple sources to create comprehensive transportation models, including route optimization, cost reduction, and poor research methods. The DRL project is intended to use a multi-agent design to manage complex decision-making processes in a dynamic logistics environment. The hybrid anomaly detection system combines statistics with machine learning techniques to identify and respond to network disruptions. The system's performance was validated using a database including 185,432 shipment records collected over 24 months across the Asia-Pacific transportation system. The experimental results show that the proposed method has achieved 94.5% correct value in choosing the right path and 45% reduction in processing time compared to traditional methods. The negative detection antibody maintains a 96.2% true positive rate with a 1.8% false positive rate. The system's analysis shows that the growth of the needs in the calculation of the growth in the network, indicating the use of good resources in the large deployment. This research supports the state-of-the-art in cross-border business optimization by providing solutions that integrate real-time optimization methods with negative detection and response mechanisms.
The Main Success Factors of Smart Branding: A Systematic Literature Review
Authors: Sabilaturrizqi Mashudah , Susanto Tony Dwi
Published: January 2025

Many countries around the world have now adopted smart branding. However, the implementation of smart branding in some cities still has obstacles or challenges. This paper aims to contribute to formulating a conceptual model for smart branding. A literature review from 2017 to 2024 used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) method to examine the term smart branding. From the literature review, ten dominant factors influence the success of smart branding, namely government support, creativity and innovation, the power of social media, stakeholders involvement, city residents, culture, economic development, technology advances, tourism development goals, and efficient public transport. These findings enrich the theoretical exploration of smart branding.
QuillBot Grammar Checker: The Ability to Evaluate Students' Writing Errors of English Essay
Authors: Fitria Tira Nur
Published: January 2025

This research simulates the use of QuillBot Grammar Checker in assessing students' writing errors in English essays. This research is descriptive qualitative. QuillBot announces the availability and accessibility of a new grammar checker. QuillBot's grammar checker can help users (teachers/lecturers) check writing errors in grammar, punctuation, and spelling. The analysis shows that two examples of students’ essays are evaluated by QuillBot Premium. The 1st student’s essay shows 209 words with 21 errors. It consists of grammatical errors (word class) such as nouns, pronouns, prepositions, conjunctions, and adjectives. The 2nd student’s essay shows 161 words with 20 errors. It consists of grammatical errors (word class) such as nouns, pronouns, prepositions, conjunctions, adjectives, and interjections. Users can choose two options (replace or ignore). Replace means change the error words, while ignore means keep maintaining the words In using QuillBot, users type Quillbot in the Google search engine, log in if needed, several menus will appear, and click Grammar Checker. Write or copy the English essay that we want to check. Errors in writing will appear with red underlines completed by many words and the number of errors in an essay. If we want to click repair, select Fix All Errors. QuillBot utilizes Artificial Intelligence (AI) to automatically scan text for grammatical, punctuation, spelling, punctuation, and capitalization issues, highlighting them and allowing users to correct them individually or in bulk with a single click. Teachers/lecturers can use corrective evaluations by using QuillBot as an alternative online tool besides the popularity of Grammarly. Regarding the accuracy level of using QuillBot in evaluating students' writing errors, it may need to be improved. However, other online grammar check applications can be considered and tried besides evaluation manually.
Pendampingan Melalui Sosialisasi Tentang Bahaya Perundungan atau Bullying Pada Anak di Desa Bangka Jaya Kecamatan Dewantara, Kabupaten Aceh Utara
Authors: A. Rahman Dahlan , Abubakar Muhammad Bin , Zulhilmi Zulhilmi , Abdullah Taufik , Mulyadi Mulyadi , Rizwan Muhammad , Faisal Naidi , Muchlis Muchlis
Published: January 2025

Fenomena perundungan atau bullying memberikan sebuah fakta bahwa hal tersebut terjadi di kalangan orang dewasa, remaja dan anak. Karena berawal dari candaan menjadi hal yang serius dan berujung kepada hilangnya kepercayaan diri korban oleh pelaku perundungan atau bullying. Maka tidak mengherankan fenomena tersebut membuat hal yang dianggap lumrah namun membawa dampak yang besar bagi perkembangan mental korban perundungan. Hal ini yang sering membuat terjadinya ganguan mental dan traumatik sehingga perlu adanya penanganan yang lebih intens dilakukan oleh semua pihak termasuk peran dari orang tua. Jadi perundungan bukan hal yang biasa namun perlu adanya penanganan serius dari semua pihak sehingga tidak banyaknya korban dari anak-anak tersebut. Kegiatan Pkm ini dilaksanakan di desa Bangka Jaya terkait dengan sosialisasi terkait bahaya perundungan atau bullying pada anak. Maka pelaksanaan kegiatan PkM ini diharapkan mampu meningkatkan karakter anak-anak yang berbudi luhur dan memiliki rasa empati dan humanis. Sehingga perilaku perundungan atau bullying dapat dihindari yang paling penting dukungan dari semua pihak sehingga permasalahan ini bisa dihindari dan dimasa yang akan dating tidak ada lagi kasus perundungan atau bullying pada anak di desa Bangka Jaya Kecamatan Dewantara Kabupaten Aceh Utara dan dapat menjadi percontohan sebagai wilayah yang bebas dari perilaku perundungan pada anak secara nasional.
Pendampingan Peningkatan Kualitas dan Kreativitas Penulisan Karya Ilmiah Bagi Mahasiswa Universitas Islam Zainul Hasan Probolinggo
Authors: Shobirin Shobirin
Published: January 2025

This research examines the effectiveness of academic writing mentoring for Arabic Language Education students at Zainul Hasan Islamic University (UNZAH) Genggong Probolinggo, with a focus on improving the quality and creativity of academic work. A qualitative method with a descriptive approach was used to collect data through observation, interviews, and documentation. The results show that structured and continuous mentoring has a significant positive impact on the quality and creativity of students' academic work. Students feel an improvement in their ability to formulate problems, gather data, analyze, and construct strong arguments. However, there are still challenges such as time and resource constraints, lack of motivation, and students' readiness in academic writing. This research recommends strategies to address these challenges, including the development of a more comprehensive mentoring program, structured writing training, and increased collaboration between faculty and students.
Peningkatan Komunikasi Antarbudaya dalam Program Saweu Sikula di Sekolah Sukma Bangsa Bersama Mahasiswa Eropa
Authors: Azhari Teuku , Sahputri Juwita , Mukhlis Mukhlis
Published: January 2025

Intercultural Communication in the Context of Education in the Era of Globalization is very important. The communication built must be effective and bridge communication across cultures and races. Language plays an important role in cross-cultural communication. The good use of language can prevent us from misunderstandings and conflicts caused by language interpretation (Putranto et al., 2024). The low intercultural understanding among local students is one of the main problems faced in the school environment. Many students have not had the opportunity to interact and exchange ideas with people outside their culture and language. Globalization has allowed inter-country and intercultural interactions to become more intense, including in the fields of Education, Schools and universities. The saweu sikula activity together with foreign students was carried out at the Sukma Bangsa school in Lhokseumawe City. This activity begins with making an appointment and a plan for the event (run-down) of the activity. The activity was held on Tuesday, October 1, 2024, precisely at Sukma Bangsa High School, Lhokseumawe City. The activity was attended by the Board of Teachers, committee students, Unimal lecturers, and 10 European, French, Dutch, and Norwegian students. This activity brings a lot of benefits to both parties, students and students. First, increased self-confidence. Exposure to foreign cultures and direct interaction can increase self-esteem. Both students and foreign students can share each other's culture and enrich each other's cultural scientific treasures. Third, all participants can strengthen their ability to interact with new people so that they are not awkward in communication at the beginning of the day. It is hoped that this activity can continue so that it can develop communication skills.
Un bosque de esperanzas: Memorias y andanzas del Centro EcoDiálogo como un espacio de Educación para la Vida
Authors: Vargas-Madrazo Enrique
Published: January 2025

Ante la policrisis civilizatoria que vivimos como humanidad, necesitamos construir espacios de regeneración y creatividad alternativa hacia la vida. Cada ser humano somos resultado de la crianza y la educación para la vida que nos nutra y acompañe en el desarrollo de nuestras potencialidades desde el amor, el cuidado y la colaboración. Quienes escribimos este texto, deseamos compartir nuestros andares e historias de sanación y aprendizaje en la tarea que durante más de veinte años nos ha implicado en la construcción de nuestro Centro EcoDiálogo.
La identificación de los conocimientos previos en la estructura cognitiva en estudiantes de primer ingreso a la universidad
Authors: Heredia Murillo Jorge Alberto , Benavides Martínez Benigno , Cuevas Gutiérrez Ana Irene
Published: January 2025

La presente investigación busca identificar los conocimientos previos que poseen los estudiantes de primer ingreso en la universidad, partiendo del trabajo realizado por Hailikari & Nevgi (2010), sobre los tipos y niveles de conocimiento previo que existen. Se utilizo una metodología cualitativa a través de la técnica del focus group el cual se aplicó a un grupo de estudiantes de primer semestre compuesto de 5 hombre y 5 mujeres. Como resultado se identificaron distintos tipos de conocimientos previos:  de hechos, de significados, de integración y aplicación del conocimiento, estos se ubican como conocimientos declarativos y procedimentales, estos últimos se relacionaron con las estrategias metacognitivas. La finalidad del estudio fue reconocer los conocimientos previos que han contribuido para que los estudiantes puedan establecer un puente entre el grado académico anterior, generar nuevos conocimientos y tener confianza para transitar en esta nueva etapa académica.
SUSTAINABLE FASHION DESIGN: EXPLORING THE POTENTIAL OF FABRIC RECONSTRUCTION TECHNIQUES IN CREATING ONE-PIECE DRESSES
Authors: Kaur Jasleen , Ms. Kirti
Published: January 2025

This research investigates the innovative application of fabric reconstruction techniques to design stylish and sustainable one-piece dresses, addressing the growing environmental challenges posed by the fashion industry. The industry, though renowned for its creativity and self-expression, significantly contributes to ecological issues such as textile waste and excessive resource consumption. Fabric reconstruction offers a promising solution by repurposing discarded garments into fashionable new designs, thereby reducing waste and promoting resource efficiency.The study focused on college-going girls as the target demographic, aiming to understand their preferences and acceptance of reconstructed garments compared to conventional clothing. Data was collected using structured questionnaires, capturing insights into their buying behaviour, opinions on sustainability, and perceptions of the reconstructed dresses. The research highlighted the shift in consumer behaviour toward eco-friendly clothing, as participants demonstrated a high level of acceptance and appreciation for the reconstructed designs. Key attributes such as creativity, uniqueness, and quality were particularly valued, indicating a strong potential for these garments to gain traction in the market.Furthermore, the study underscores the importance of fabric reconstruction as a sustainable practice in the fashion industry, emphasizing its role in reducing textile waste while offering innovative design solutions. The findings also highlight the critical need for increased consumer awareness and education about the benefits of reconstructed clothing. Promoting this understanding can pave the way for broader market acceptance and adoption of sustainable fashion practices. Ultimately, this research contributes valuable insights into how sustainable design can reshape the fashion industry and align with the growing demand for environmentally conscious choices.
SOCIOLOGICAL PERSPECTIVE ON THE MISUSE OF DOMESTIC VIOLENCE LAWS
Authors: Pujari Rekha , Kumar Sarvesh
Published: January 2025

Domestic violence laws were introduced to protect victims, primarily women, from physical, emotional, and psychological abuse within the household. However, over time, these laws have been subjected to misuse, often driven by sociological factors. This article explores the sociological underpinnings behind the abuse of domestic violence laws, focusing on the societal norms, cultural expectations, and power dynamics that influence how these laws are invoked. It examines the role of patriarchal structures, economic inequalities, and gender roles in perpetuating the misuse of such legal provisions. The study also investigates how the breakdown of family relationships and the increasing tendency to use legal tools for personal gain contribute to their misuse. By analysing these sociological factors, the article aims to highlight the broader implications of misusing domestic violence laws on both individuals and society, proposing recommendations to prevent such misuse and to ensure that the law serves its intended purpose of protecting vulnerable individuals.
THE ROLE OF TRANSFORMATIVE ARTIFICIAL INTELLIGENCE APPLICATIONS IN REVOLUTIONISINGTHE INDIAN BANKING SECTOR
Authors: K V Ramesh
Published: January 2025

Artificial intelligence (AI) has emerged as a transformative force in the banking sector, particularly in India, where rapid technological advancements are reshaping financial services. The relevance of AI in the current context lies in its ability to enhance operational efficiency, improve customer satisfaction, and promote financial inclusion, addressing the evolving needs of a digital-first economy. This study aims to examine the role of AI in revolutionizing Indian banking firms by analyzing its impact on key performance indicators such as operational efficiency, customer satisfaction, and financial inclusion. A descriptive research methodology was employed, with primary data collected through a structured questionnaire using a 5-point Likert scale and secondary data from reliable sources. The study focused on ten leading Indian banks with high AI adoption, with 25 respondents from each bank. Statistical tools such as descriptive analysis, correlation, and ANOVA were used to analyze the data. The findings reveal a strong positive correlation between AI adoption and improved performance metrics, with significant differences observed among banks in their AI implementation effectiveness. Banks like HDFC and Kotak Mahindra demonstrate superior outcomes, highlighting the importance of strategic AI integration. The study concludes that AI adoption is pivotal for future-ready banking, offering actionable insights for enhancing efficiency and inclusivity.
Teachers’ Teaching Strategies in Activating Students’ Participation in Learning English : A Study in Junior High School 1 Gangga, North Lombok Regency
Authors: Andjani Jessica Tamia , Waluyo Untung , Soepriyanti Henny , Amin Muhammad
Published: January 2025

Student participation in English as Foreign Language (EFL) classrooms remains a significant challenge in rural Indonesian schools, where barriers such as low motivation, limited vocabulary, and lack of confidence hinder active engagement. This study investigates teaching strategies employed by two English teachers, TG and YF, at Junior High School 1 Gangga to address these issues. The objectives of the research are to identify the strategies used by the teachers, explore the challenges they face in activating student participation, and examine their perceptions of classroom engagement. A qualitative case study design was utilized, employing semi-structured interviews, classroom observations, and document analysis as data collection methods. Thematic analysis was applied to identify patterns and themes within the data. The findings reveal that both teachers employed differentiated learning, group discussions, reading aloud, and English games as key strategies to enhance student participation. However, challenges such as resource limitations, varying student proficiency levels, and low confidence levels were consistently reported. To address these, the teachers adapted their strategies by leveraging available resources, conducting personalized assessments, and fostering a supportive learning environment. The study underscores the importance of teacher flexibility and creativity in overcoming barriers to student participation. Its implications suggest the need for professional development programs to equip teachers with innovative strategies and improved resource allocation to support effective teaching in similar EFL contexts. These findings contribute to the broader discourse on enhancing EFL learning outcomes in under-resourced settings.
REPRESENTASI ALAM DALAM NOVEL SRIMENANTI KARYA JOKO PINURBO: EKOKRITIK GERD GARRARD
Authors: M Asia, , Ridwan Ridwan , Mustika Indah
Published: January 2025

This study aims to analyse the ecological representation in the novel ‘Srimenanti’ by Joko Pinurbo using Greg Garrard's ecocritical theory. Ecocriticism is one of the theories in literary studies that examines the relationship between literary works and nature and the environment. This approach focuses on how nature is depicted in literature, as well as the impact of human activities on the environment. In ecocritical theory, nature is considered an active agent that interacts with culture, and literary works can be a means to criticise ecological damage and illustrate the interdependence between humans and the environment. This research is important because it can show how literature, such as Joko Pinurbo's, reflects ecological awareness through vivid images of nature and its social relevance. Joko Pinurbo, known as a poet with a simple yet profound language style, often depicts his closeness to nature and social problems related to the exploitation of nature. By using an ecocritical approach, Pinurbo's works can be interpreted as reflections on human relationships with nature as well as criticism of environmental degradation. Therefore, Joko Pinurbo's works have significant relevance in the discourse of literature and ecology, and are important to be further analysed through an ecocritical perspective to understand more deeply their influence on people's ecological awareness.
PERGESERAN BAHASA PADA MASYARAKAT GENERASI KEDUA DARI NUSA TENGGARA TIMUR DI DRIYOREJO
Authors: Haryono Aura Hilda , Hadiutomo Dwi Anggoro
Published: January 2025

Migration is a response to changes in the environment where people live, including those from East Nusa Tenggara who have decided to move to Gresik. Like others who relocate to a new place, they must adapt to their new environment, especially with the language. This inevitably leads to language shift. Based on the explanation above, this study aims to analyze the forms of language shift and the factors causing language shift among the second generation of East Nusa Tenggara migrants who have moved to Driyorejo, Gresik. In this research, the author collected data through observations and interviews with participants. The author observed participants in school, home, and through online. The results indicate that the forms of language shift found in the second generation from East Nusa Tenggara are partial language shift observed in three families and permanent language shift found in two families. Furthermore, four factors contribute to the language shift among the second-generation East Nusa Tenggara community in Gresik: social factors, demographic factors, attitudes and values, and political policies.
TALIWANG-SASAK CODE-MIXING USED AMONG LUNYUK SPEECH COMMUNITY IN SUMBAWA BARAT
Authors: Arnis Alfiani Medina , Soepriyanti Henny , Amrullah Amrullah
Published: January 2025

The Taliwang and Sasak languages ​​are an integral part of the cultural and linguistic identity of the West Nusa Tenggara region in Indonesia. These languages ​​serve not only as media of communication but also as carriers of cultural heritage, reflecting their respective communities' values, traditions and history. Taliwang, primarily spoken by people in the Taliwang region, is deeply embedded in local culture and plays a vital role in its speakers' daily lives. Likewise, Sasak, the primary language of the Sasak people in Lombok, is an essential element of Sasak's cultural identity. This research adopts a qualitative case study approach to explore complex social phenomena such as code-mixing in specific communities. A case study allows an in-depth examination of the linguistic practices of the Lunyuk community, focusing on how and why speakers mix Taliwang and Sasak in their daily interactions. This research uses qualitative method to analyze the data. This data includes the types of code-mixing such as: insertion, alternation, and congruent lexicalization.
Critical Business Episodes: The criticality of damage adjustment processes in insurance relationships
Authors: Jinyoung Hwang
Published: January 2025

This research study seeks to explore damage adjustment procedures in insurance contracts as far as their effects on customers and organizational performance are concerned, and the general stability of insurance businesses. Employing the industry reports- customer satisfaction surveys and technological integration in the analysis, this research identifies the degree of the study’s test hypothesis that shows the real impact of efficient damage assessment and creates solution aiming to improve policyholder’s trust, insurer’s financial stability and prevent fraud. Here the research studies the current state of the insurance sector, taking into account changes in legislation, the introduction of new technologies and possibilities such as artificial intelligence and machine learning, as well as new customer profiles and behaviors. Some of the objectives involve the ability of efficient and transparent claims processing on consumer preferences, possibility of using modern technologies for managing claims, and also studying experiences in identifying fraud phenomena. This dissertation seeks to provide a clearer perspective of how damage adjustment procedures determine the nature of insurance relationships and guarantee any rightful deserving claims for all relevant parties. Introducing theories that range from behavioral economics to game theories as well as agency norms, this study proffers ways of improving the nature and methods of damage adjustment for improved efficiency in the insurance business.
Pengembangan Web Edukasi Kompetensi Membaca Berbasis Ensiklopedia bagi Mahasiswa BIPA Tingkat Madya
Authors: Hermanto Hermanto , Agustin Thesia Anggraini , Himawan Riswanda
Published: January 2025

Penelitian ini dilatarbelakangi dengan kurangnya bahan ajar digital yang kreatif pada proses belajar mengajar terutama pada materi pariwisata. Berdampak pada kurangnya motivasi pemelajar dalam melaksanakan pembelajaran. Untuk mengatasi persoalan tersebut perlu pengembangan bahan ajar digital. Salah satunya dengan mengembangkan web edukasi berbasis ensiklopedia. Penelitian ini merupakan penelitian pengembangan dengan model ADDIE. Selaras dengan jenisnya, penelitian ini bertujuan untuk mengembangkan web edukasi membaca bagi mahasiswa BIPA tingkat madya. Setelah dilakukan pengembangan produk. Tahapan yang digunakan untuk mengetahui kelayakan web edukasi yaitu  melakukan uji kelayakan kepada ahli dan respons mahasiswa. Observasi, wawancara, dan angket digunakan sebagai teknik pengumpulan data. Deskriptif kuantitatif merupakan analisis datanya. Penelitian ini dilakukan pada pemelajar BIPA tingkat madya Universitas Ahmad Dahlan. Hasil penelitian ini adalah sebagai berikut: (1) hasil analisis kebutuhan menujukkan bahwa saat ini diperlukan adanya pengembangan web pada kelas membaca mahasiswa BIPA; (2) Hasil kelayakan ahli materi memperoleh skor 84,12% dengan kriteria “baik sekali”. Ahli media 90% dengan kriteria “baik sekali”. Hasil penelitian dari validasi ahli pengajaran tahap pertama 72,58% dengan kriteria “baik”. Hasil penelitian dari validasi ahli pengajaran tahap kedua 86,7% dengan kategori “baik sekali”. Hasil uji coba kelompok kecil 88,75% dengan kategori “baik sekali”. Dari hasil tersebut, dapat disimpulkan bahwa bahwa web edukasi layak untuk digunakan dalam proses pembelajaran membaca bagi mahasiswa BIPA tingkat madya.Kata Kunci: Pengembangan; Bahan Ajar; WEB; BIPA
Menelusuri Tataran Kejadian dan Riwayat dalam Novel 1Q84 Karangan Haruki Murakami: Kajian Naratologi
Authors: Arianto Anggiarini , Pribadi Rendy
Published: January 2025

Salah satu cabang ilmu linguistik yang membicarakan permasalahan alur dalam bercerita, yakni naratologi, belum banyak diperbincangkan dan dikaji dalam dunia akademik. Kajian dalam bercerita ini khususnya naratologi belum memiliki model yang baik dalam mengkaji karya fiksi cerpen terutama dalam karya fiksi berbahasa Jepang. Penelitian ini bertujuan untuk menawarkan dan menegosiasikan kemampuan mengkaji karya fiksi menggunakan analisis naratologi melalui penerapan model naratologi tataran kejadian dan riwayat. Model Rimmon-Kenan, Shlomith inilah yang digunakan untuk menganalisis kejadian dan riwayat dari setiap karya fiksi. Penelitian ini merupakan penelitian analisis isi yang menganalisis dan menginterpretasi novel berjudul IQ84. Jenis penelitian ini adalah kualitatif. Teori yang digunakan pada penelitian ini adalah teori kejadian dan riwayat, yang ditawarkan oleh Rimmon-Kenan dan Shlomith. Hasil penelitian dalam tataran kejadian menawarkan hubungan kausal dalam sebuah cerita yang berfungsi menghubungkan keadaan seimbang awal, ketidakseimbangan, dan keseimbangan baru. Tataran riwayat menunjukkan dampak ketidakseimbangan sebagai rumusan umum yang bisa digunakan dalam menentukan titik konflik yang terjadi dalam sebuah cerita, seperti penggunaan tataran kejadian dan riwayat yang bertemu pada suatu pembahasan, yakni aliran Sakigeki dan tataran riwayat dalam novel ini menunjukkan keadaan seimbang baru dari masing-masing tokohya, yakni Aomame dan Tango. Implikasi pada pengajaran sastra sebagai tawaran dalam menentukan bentuk kaidah progresif atau flashback sehingga dapat digunakan dalam penentuan ideologi. Kata Kunci: Model Tataran Riwayat; Naratologi; Novel.
Kekuasaan Pemikiran pada Novel Yang Telah Lama Pergi Karya Tere Liye
Authors: Arianti Linda , Affandy Ali Nuke , Kartika Pheni Cahya
Published: January 2025

Hidup manusia itu menguasai. Kekuasaan begitu menarik minat hingga menarik manusia untuk mendekatinya. Sebagian manusia merasa senang karena mampu mengendalikan manusia lain dan membuat manusia lain mengikuti keputusannya. Kekuasaan memiliki arti sebagai pengaruh atau kekuatan atas pemikiran yang digunakan untuk memengaruhi individu atau kelompok agar menjadikan mereka patuh dengan apa yang diperintahkan. Penelitian ini bertujuan untuk mendeskripsikan kekuasaan yang didasari oleh sebuah pemikiran dimana ada kekuasaan yang didasari oleh sebuah pemikiran dan menghasilkan taktik untuk meruntuhkan kerajaan Sriwijaya. Penelitian ini menggunakan teori kekuasaan pemikiran perspektif  Michel Foucault. Penelitian ini dilatarbelakangi oleh adanya pemikiran-pemikiran yang berbeda oleh ke-8 tokoh yang bergabung untuk menyelesaikan satu misi besar bersama para perompak pada novel Yang Telah Lama Pergi karya Tere Liye. Metode yang digunakan dalam penelitian ini yaitu deskriptif kualitatif. Teknik pengumpulan data menggunakan studi pustaka yang merupakan proses pengumpulan data dengan cara membaca referensi terdahulu dan teknik pengumpulan data yang digunakan pada penelitian ini melalui beberapa tahapan yaitu (1) membaca, (2) menandai, dan (3) menganalisis. Hasil penelitian yang ditemukan adalah (1) setiap tokoh pada novel Yang Telah Lama Pergi memiliki pemikiran yang berbeda dan berpengaruh dalam sebuah kekuasaan (2) Kekuasaan pada novel Yang Telah Lama Pergi berjalan dengan pikiran atau pengetahuan yang menghasilkan taktik yang dijalankan untuk meruntuhkan Kerajaan Sriwijaya.Kata Kunci: Kekuasaan; Pemikiran; Michel Foucault