bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Innovative Teaching Strategies in Physical Education Empowered by New Technology
Authors: Wang Yong , Wang Xu , Zhang Zhijun
Published: February 2025

Digital technology has injected new vitality into college physical education teaching, and in the context of the digital era, college physical education has begun to transform from teaching form to teaching mode and from teaching concept to teaching resources. This paper realizes the innovative design of physical education teaching strategies under the empowerment of new technology by exploring the operation mechanism of new technology-enabled physical education teaching and constructs a specific implementation framework of the strategies. Subsequently, the implementation effect of teaching strategies was analyzed using an independent sample t-test. Under the technology acceptance model, Pearson correlation and multiple linear regression models were used to analyze students’ acceptance of new technology-enabled physical education teaching. The P-values of movement skill scores, performance scores, and total scores of the students under this teaching strategy were less than 0.05 compared to those of the students learning by traditional methods, all of which were significantly different and achieved higher scores. This indicates that physical education empowered with new technology helps students master movement skills, enhance expressiveness, and achieve better performance. In the stage movement assessment, the performance of students in the experimental group and the control group changed less significantly in the early stage but changed more significantly from the beginning of the middle stage to the late stage, and the significance of the difference gradually increased. This paper indicates a strategic path for the digital transformation of physical education.
Research and Application of Key Technology of Safety Situational Awareness for the Whole Process of Grid Infrastructure Construction Based on Edge-Side Scene Recognition and Knowledge Fusion
Authors: Chen Bo , Zhang Hongyu , Yang Runxi , Du Hongyu , Xu Mengzhu
Published: February 2025

Personnel violations in power construction sites pose significant safety risks and may lead to serious accidents. This paper proposes a method based on multi-sensor fusion and deep neural networks to recognize staff violations and fully understand on-site personnel behavior. By integrating data from multiple sensors, including visual and distance sensors, this method allows for precise personnel positioning and detailed behavior analysis. Fine-grained behavior analysis and recognition can be achieved by incorporating 3D point cloud data to obtain three-dimensional spatial information of personnel, and combining texture features of visible light images. The method first performs pre-processing and feature extraction on multimodal data, followed by integrating information from both data sources using a fusion strategy, and constructing a behavior recognition model using deep neural networks. Experimental results in complex real-world scenarios show that this method significantly outperforms single data source approaches in terms of recognition accuracy and robustness, effectively enhancing personnel behavior recognition in complex ground environments.
Optimisation Strategies and Mathematical Modelling of the Path to Improvement of Students’ Physical Fitness Levels in Higher Education Physical Education
Authors: Yang Yage
Published: February 2025

The development of physical education in colleges and universities can not only enrich the after-school lives of students and cultivate their sentiments, but also improve the physical fitness level of students and cultivate their sportsmanship in the new era. In this paper, we develop a diagnostic process for assessing the physical fitness level of college physical education students, present a dynamic monitoring framework for their physical fitness, and implement real-time data collection of students’ physical training using the LSTM model. The wavelet transform algorithm is used to get the dynamic features of the physical training data. It is then combined with the convolutional neural network to help the students recognize the features of their physical training. The associated dimension retrieval is then used to set up a test model for real-time monitoring and evaluation of the physical training data. The wavelet transform extracted the changing amplitude of the biceps brachii muscle, which ranged from -0.19 mV to 0.11 mV. The mean recognition accuracy of the students’ physical training features was 99.14%, and the RMSE fluctuation range of the students’ physical training monitoring was between 0.127 dB and 0.165 dB. The improvement of students’ physical fitness level in physical education in colleges and universities needs to start from the optimization of core strength and specialized physical fitness, which guides the promotion of physical fitness and the overall development of students in colleges and universities.
A Study on Behavioural Characterisation of Music Learners and Optimisation of Teaching Strategies Based on Data Mining
Authors: Zhao Zhou , Wei Zehui
Published: February 2025

With the development of big data technology, the field of music education has also begun to use data mining technology to analyze learners’ behavioral characteristics in order to provide better music teaching optimization strategies. In this paper, we design a music teaching model based on flipped classrooms and analyze the characteristics of students’ questioning behaviors in the classroom through analysts’ and students’ pre-course preparations, in-course analyses, and post-course feedback in an intelligent teaching environment. And using the iFIAS coding model, the behavioral characteristics of teacher-student interactions in the music-flipped classroom are coded and analyzed. In addition, this paper evaluates the teaching effect of the music-flipped classroom using a variety of teaching effect research methods. The rate of student analytical, evaluative, and comprehensive questioning increased by 12.02%, 12.30%, and 5.65%, respectively, in the music-flipped classroom. The average rate of teacher speech in the flipped classroom was 41.77%, and student speech was 28.47%, both of which showed optimized effects over the standard values. Students recognize the music-based flipped classroom teaching model proposed in this paper, and most of them give it a rating above 4 points. Students in the experimental group showed significant differences in music skill level, music learning interest, learning attitude, and independent learning ability after the experiment compared to the control group (P < 0.5). This study confirms that the flipped classroom can be used as an optimization strategy in music teaching.
The construction of an autonomous knowledge system in communication based on knowledge mapping
Authors: Li Huajin
Published: February 2025

Facing the profound changes in the media environment in the new media era, exploring the construction of an autonomous knowledge system of communication studies is of fundamental and directional significance to its disciplinary development. Under the guidance of the overall framework of knowledge mapping, a set of autonomous knowledge systems for communication science is being constructed. A feedback mechanism is introduced to the preprocessed communication studies corpus for ontology construction. In terms of data layer filling, a joint information extraction model based on Bert-BiLSTM-CRF-Att is proposed, after which the fusion and storage of the knowledge graph are realized through semantic similarity and Neo4j to complete the construction of the knowledge graph of the autonomous knowledge system of communication studies. Conducting experiments on the joint information extraction model, the model has a high recognition speed, and the F1 values of entity recognition and relationship extraction are 77.77% and 88.47%, respectively, which are better than the comparison model, and the experimental results reflect that the joint information extraction model has a better recognition efficiency and recognition accuracy, which proves the effectiveness of the information extraction model of this topic in the construction of the autonomous knowledge system of communication science. This paper’s construction of an autonomous communication knowledge system based on the knowledge graph can enhance the efficiency of communication knowledge acquisition and provide a new direction for the integration of communication knowledge.
A study on the construction of a data-driven civic assessment system for the course of composition and work analysis
Authors: Wang Dan , Li Yue , Wang Haidong
Published: February 2025

It is a pioneering work for colleges and universities to integrate the core concepts of Curriculum Civics into the teaching of professional courses. The purpose of this paper is to examine the construction of a data-driven course-oriented evaluation system for course ideology and politics, using the course of composition and work analysis as an example. Combining the CIPP model and big data mining technology, the preliminary selection of evaluation indexes is realised, and then after the questionnaire reliability and validity screening, the Civic Teaching Evaluation System of Curriculum Civics and Works Analysis is constructed. Then, the hierarchical analysis method and the entropy weight method are used to obtain the combined weights of the indicators. Finally, the fuzzy comprehensive evaluation method is used to verify the effectiveness of the constructed index system. The constructed evaluation index system includes 4 first-level indicators, 8 second-level indicators and 19 third-level indicators for teaching background, teaching input, teaching process and teaching results evaluation. In this study, the evaluation score is 3.4413, which belongs to the level between average and better, and it is more consistent with the evaluation results of experts, peer teachers and students’ evaluation subjects, which indicates that the evaluation system of the CIPP teaching of the course of song and work analysis constructed in this study has practicality.
Research on E-commerce Mode of Rural Common Wealth Realisation Path under the Internet Environment
Authors: Cen Yuming , Mo Haiyan
Published: February 2025

The rapid development of rural e-commerce provides significant impetus for rural revitalization and the realization of the goal of common wealth. It has emerged as a significant force in promoting rural economic growth, boosting farmers’ income, and achieving the integrated development of urban and rural areas. In this case, this paper studies the e-commerce model of the realization path of common prosperity in rural areas under the Internet environment in order to provide experience for the cultivation of the e-commerce industry in rural areas of China and the realization of the goal of common prosperity in rural areas. Firstly, we design an e-commerce platform for “Internet+” special agricultural products, establish a functional system, and implement the core technology of the e-commerce platform, which relies on cluster analysis and association rule algorithms. The rural areas of the Guangxi Zhuang Autonomous Region are selected as the investigation area, and the “Internet +” special agricultural products e-commerce platform proposed in this paper is used for the trial operation of agricultural product sales to explore the effect of using the platform constructed in this paper on the sales of agricultural products to increase income. To promote the prosperity of rural areas as a whole.
A Principal Component Analysis Approach to Maternal Mental Health Nursing Care
Authors: Jiang Chunmei
Published: February 2025

Pregnancy and childbirth are special and important stages in a woman’s life, and due to the great changes in physiology and external conditions, pregnant women may develop negative emotions, which may lead to mental health problems. The study is designed to explore the characteristics of maternal mental health, design relevant experiments, and mine its key factors using principal component analysis. After descriptive statistics and different analyses of the basic information and mental health of pregnant women, the influencing factors of maternal mental health were explored in depth so as to propose mental health care measures for pregnant women. The normative level was not met by the subjects when it came to their SCL-90 scores for maternal mental health factors. The maternal mood is not good and can lead to psychological problems. There were significant differences in maternal mental health across three dimensions: literacy level, work status, and family economic situation. Among the six principal components with a cumulative variance contribution rate greater than 90%, Components 1~6 were the principal component of own feelings, the principal component of basic objective status, the principal component of culture and education, the principal component of economic status, the principal component of social pressure, and the principal component of career development aspects, respectively.
A Strategic Study of Internet Technology in Promoting the Integration of Physical Education and Ideological and Political Education
Authors: Li Ting , Zhu Xiaoling
Published: February 2025

In the current era, the influence of Internet technology has involved all areas of society. In order to further study the application strategy of the Internet in the education of sports ideology and politics in colleges and universities, this paper selects research samples from a city college, adopts a qualitative comparative analysis method, and digs deeper into the influencing factors of the integration of curriculum ideology and politics into the teaching of sports in colleges and universities. On this basis, combined with the Internet technology to put forward the strategy for the integration of sports and Civic and political education, to construct the evaluation index system for the integration of the two, and to combine the indexes to assign weights. A university is being used as a research object to carry out teaching practice using a fuzzy comprehensive evaluation method to assess the effects of integrating sports and civic and political education. Through the five dimensions of the conditional group state analysis, it is found that mining the sports curriculum Civic and political elements, deepening the reform of teaching materials and pedagogy, the organic integration of curriculum Civic and information technology, and perfecting the mechanism to implement and enforce are the key factors in the integration of sports and Civic and political education. The degree of integration of physical education and Civic-Political education in the sample colleges and universities is at a good level, with a composite score of 0.797, in which the performance of teaching resources and teaching practice is more prominent, with both scores above 0.8. The empirical analysis shows that the integration strategy based on Internet technology can promote the integration and development of sports and ideological and political education and improve the educational level of sports and ideological and political education in colleges and universities.
Exploring the impact of macroeconomic changes on financial market stability using big data analytics
Authors: Liu Kangwen
Published: February 2025

Macroeconomic changes will impact financial market stability through certain pathways. This paper uses big data technology to analyze relevant research literature and determine the evaluation index of macroeconomic changes and the financial market stability index. The GARCH model is used to quantitatively measure macroeconomic changes as an independent variable in the empirical analysis. The stability index of the financial market is measured by the financial market stability evaluation index system, and the indexes that contribute more to the stability of the financial market in the index system are explored as principal components using principal component analysis. The vector autoregressive model based on Lag 2 empirically analyzes the impact of macroeconomic changes on the stability of financial markets. Macroeconomic changes promote financial market stability in one period but can negatively impact it in the second period. Its unfavorable impact on financial market stability will outweigh the positive impact, i.e., eventually. Macroeconomic changes will adversely affect the stability index of financial markets.
Kesalahan Berbahasa Indonesia dalam Morfologi dan Sintaksis pada orang Asli Papua di Merauke
Authors: Leba Seli Marlina Raja , Diliana Ekfindar
Published: February 2025

Penelitian ini bertujuan untuk 1) mengkaji bentuk-bentuk kesalahan berbahasa Indonesia dalam tataran kata (morfologi) dan kalimat/klausa (sintaksis) pada siswa dan mahasiswa Orang Asli Papua, (2) menginvestigasi penyebab kesalahan Berbahasa tersebut, (3) menemukan solusi umum atas permasalahan tersebut. Penelitian ini merupakan studi kasus yang meneliti penguasaan bahasa Indonesia oleh Orang Asli Papua di Kabupaten Merauke, melibatkan 240 siswa dari berbagai jenjang pendidikan (SD, SMP, SMA dan Perguruan Tinggi). Instrumen yang digunakan meliputi tes morfologi dan sintaksis, tes menulis karangan bebas, kuesioner, dan wawancara. Data dianalisis untuk mengukur kemampuan siswa, mengidentifikasi kesalahan berbahasa, serta memahami metode pengajaran dan kendala di kelas. Hasil wawancara dengan kepala dinas dan praktisi pendidikan digunakan untuk mencari solusi atas permasalahan yang ditemukan. Kesalahan berbahasa yang ditemukan meliputi ejaan, morfologi, sintaksis, dan diksi, mencerminkan kurangnya pemahaman siswa terhadap aturan bahasa Indonesia baku, seperti salah penggunaan huruf kapital, struktur kalimat, dan pilihan kata. Penyebabnya mencakup keterbatasan pemahaman tata bahasa, kebiasaan menggunakan bahasa nonformal, minimnya bimbingan, serta pengaruh media sosial. Akibatnya, pesan dalam tulisan menjadi kurang jelas, menegaskan perlunya pembelajaran bahasa formal yang intensif dan pembiasaan membaca teks formal untuk meningkatkan kualitas bahasa.
The application of the Everyone is a Teacher Here (ETH) Learning Model to the Learning Outcomes of Students in Class XI F5 in History Subjects at SMAN 1 Kec. Lareh Sago Halaban in the 2023/2024 School Year.
Authors: Putri Khairani Destel , Meri Destel , Asmara Dedi
Published: February 2025

This research is motivated by the use of the lecture method makes the learning process less interesting and learning seems boring so that students pay less attention to the lesson, then it causes low student learning outcomes. The formulation of the problem of this study is to determine the effect of the application of the everyone is a teacher here learning model on the history learning outcomes of students in class XI F5 SMAN 1 Kec. Lareh Sago Halaban and the difference in the effect of the application of the everyone is a teacher here learning model on the history learning outcomes of students in class XI F5 SMAN 1 Kec. Lareh Sago Halaban. This research is a quantitative research using experimental method with research design of nonequivalent control group design. The sampling technique was taken by simple random sampling. The data taken is the learning outcomes of the experimental class and the control class. The data analysis technique used is the t-test, by doing the normality test and homogeneity test first. The results showed: 1) there is an effect of everyone is a teacher here learning model on student learning outcomes in history subjects with the value of Tcount = 3,885 and Ttable at a significant level of 0.05 is 1.675, meaning Tcount ≥ Ttable. 2) there is a difference in the effect of the everyone is a teacher here learning model and the conventional learning model on learning outcomes. Thus it can be concluded that there is an effect of the application of everyone is a teacher here learning model on student learning outcomes in history subjects in class XI F5 at SMAN 1 Kec. Lareh Sago Halaban
Konflik Batin Tokoh Utama pada Film "Ar Rihlah": Kajian Psikoanalisis Sastra
Authors: Rohmani Hadad , Rohanda Rohanda , Dayudin Dayudin
Published: February 2025

This research examines the inner conflict experienced by the main character, Aus, in the animated film Ar Rihlah using Sigmund Freud's psychoanalytic approach. Inner conflict is the main issue in this research because it reflects the complex psychological dynamics of the main character. This conflict is considered relevant to study because it relates to the character's moral and emotional struggles in facing the pressures of life, memories of the past, and efforts to achieve inner peace. This study focuses on the conflicts of id, ego, and super-ego, as well as the factors that trigger them and their resolution strategies. Using a qualitative descriptive method, this study analyzes narrative elements such as dialogues, monologues, and visual representations in the film. The results showed that the id conflict arose in Aus's childhood due to the pressure of living in a bandit group, while the ego and super-ego conflicts developed in adulthood due to traumatic memories of his past full of moral dilemmas. The resolution of the conflict was driven by moral support from the family and Aus's efforts to make peace with his past. This research emphasizes the importance of understanding the dynamics of human personality in a literary context, while providing insight into the emotional and moral complexities of fictional characters. By exploring these psychological layers, this research contributes to literary psychoanalysis and provides a deeper appreciation of character development in story narratives.
Analysis of the Quality of Bojonegoro Police Traffic Services in Making Driving Licenses (SIM) and the Existence of SIM Brokers in Bojonegoro
Authors: Adelia Evi , Wulandari Septi , Junadi Junadi
Published: February 2025

Research on Analysis of the Quality of Services for Making Driver's Licenses (SIM) at the Bojonegoro Police Station and the Existence of Driver's License Brokers. Qualitative methods with interview and field observation techniques are used, and this study uses five indicators of service quality according to Parasuraman, namely realism, responsiveness, assurance, empathy, and tangibles. The results of this study show that the SIM-making service at the Bojonegoro Police Station is adequate. Especially in terms of clarity of information, professionalism of officers, and transparency of costs. Regarding the existence of SIM Brokers in Bojonegoro, they have been successfully suppressed through strict supervision and strict sanctions against the individuals involved. However, several obstacles, such as long queues due to a manual system and the lack of digital services, are still challenges.
Investor Behavior In Investment Decisions
Authors: Violita Futri , Sofyaun Ashari , Matyani Matyani
Published: February 2025

Quantitative approach as a type of research with questionnaires as a data collection tool. The population in the study were class A students of the management study program, class of 2021, Balikpapan University with a sample of 94 people. The data analysis method used multiple linear regression analysis for hypothesis testing, and the coefficient of determination. The results of the study showed that partially, the variables overconfidence, and investment knowledge had a positive and significant effect on Investment Decisions, while the variables investment motivation and risk tolerance had no effect.
Language Learning Strategies used by the Extrovert and Introvert Students at the Third Years Students of STITNU Sakinah Dharmasraya
Authors: Siska Widia
Published: February 2025

Personality is one aspect that influences a student's learning process. In general, there are two types of student personality, open (extrovert) and closed (introvert). Students with open personalities will have learning strategies that tend to like working together with classmates and students with closed personalities also tend to work together to avoid bad judgment from teachers and classmates because they have a quiet nature. This research aims to see what learning strategies are used by students with open and closed personalities. The respondents of this research were 60 STITNU Sakinah Dharmasraya students consisting of 30 students with open personalities and 30 students with closed personalities who were taken using stratified sampling techniques. In collecting data, researchers used 2 types of questionnaires. The first questionnaire aims to find students' personality types between extrovert and introvert and the second questionnaire aims to find students' English learning strategies. From the research results, it was found that students with extrovert personalities used social strategies and students with introvert personalities used affective strategies.
The Influence of Financial Ratios and Investment Decisions On Stock Prices
Authors: Aradhana Danu , Sofyaun Ashari , Matyani Matyani
Published: February 2025

Financial and market ratios describe a relationship based on considerations between a certain amount and another amount. This ratio explains the good or bad condition of a company's financial position, especially when the figure is compared to the comparative figure used as a standard. The financial ratios in this study include leverage and profitability, while the market ratio is related to investment decisions. The documentation method is used in collecting research data with secondary data types in the form of annual reports of pharmaceutical sub-sector companies on the Indonesia Stock Exchange for the period 2019-2023. The findings show that partially Debt to Equity and Return on Equity do not affect stock prices. Price Earning Ratio has a positive effect on stock prices.
Existence of Criminal Sanctions for Alleged Violations of the Right to Association
Authors: Feliks Danggur , Wijayanti Asri , Prasetyo Rudy Wahyu
Published: February 2025

The urgency of this research is the realization of a sense of justice from the perspective of labor law on the violation of the right to association based on the Sustainable Development Goals (SDGs) Point 8.8.2. The existence of changes in legal rules on the possibility of alternative settlement of labor crimes with the threat of criminal sanctions of less than five years through restorative justice, has resulted in social conflicts and disruption of the conduciveness of industrial relations and national stability. A labor law review of the violation of the right to association based on SDGs point 8.8.2 The purpose of this study is to find out the existence of criminal sanctions for the violation of the right to union.  This research method uses a normative juridical approach with  a statute approach and a case approach. The result of the study is the existence of criminal sanctions for violations of the right to association, based on the existence of strong evidence. Meanwhile, in practice, there is a clash with the existing evidence showing that the case is not a case in the field of criminal law but a case in the field of industrial relations dispute law that falls into the territory of civil law.
Implementation of the Government Agency Performance Accountability System (SAKIP) Policy in the Central Aceh Regency Government
Authors: Wahyudi Dedek , Aisyah Siti , Khairani Cut
Published: February 2025

This research was conducted to analyze the implementation of the Government Agency Performance Accountability System (SAKIP) policy in the Aceh Regency Government. The problem of this research is the demand for bureaucratic reform that mandates all government agencies to achieve a minimum SAKIP implementation category of B or good, whereas the SAKIP implementation category of the Central Aceh Regency Government has not yet achieved a good score and is still in the CC category (less good). Additionally, the low accountability score of the Regency Government is accompanied by low results from the Integrity Assessment Survey (SPI), which is still in the vulnerable category, thereby impacting the high poverty rate in Central Aceh Regency and the failure to achieve regional macro indicators in improving community welfare. The research method used is descriptive qualitative, with research instruments being documentation studies and interviews. The research results show that the four aspects that must be met in the implementation of the SAKIP policy in the Central Aceh Regency Government—namely policy accuracy, implementation accuracy, target accuracy, and environmental accuracy—are all inadequate. This is due to obstacles from interest factors, cultural factors, benefit principles, implementing apparatus factors, and budget factors, compounded by the lack of commitment from organizational leaders. The efforts made by the Aceh Tengah District Government to improve the implementation value of SAKIP include forming a district SAKIP team. The research recommendations suggest that the Aceh Tengah District Government should instruct regional apparatuses, within their authority, to formulate technical policies related to SAKIP, such as technical policies for performance planning, performance measurement, and performance reporting within the Aceh Tengah District Government. Additionally, they should enhance the quality of SAKIP implementation from the district government level to the regional apparatus in aspects of strategic planning, performance agreements, performance measurement, performance data management, performance reporting, as well as review and evaluation. They should set annual targets for improving SAKIP implementation by increasing coaching for the targeted regional apparatus to be ready to implement SAKIP more effectively at the district government level. Furthermore, they should improve public perception and community satisfaction by increasing the publication of all SAKIP documents through online media and providing online facilities for feedback and suggestions to enhance the district government's SAKIP. They should also improve the competence of implementing officials by conducting SAKIP-related training and increasing the budget for SAKIP socialization for all stakeholders, as well as conducting regular monitoring and evaluation of SAKIP based on the efforts made by all regional apparatuses.
The Position of Metaverse Land Assets from the Perspective of Ownership in the Civil Law
Authors: Juddin Muhamad Faiz
Published: February 2025

Land assets in the virtual world of the metaverse have become popular and are considered to have high investment potential. In Indonesia, virtual land as an asset is a new object in the law of objects whose provisions have not been regulated in positive law. This research discusses the concept of ownership of metaverse virtual land assets in the classification of civil law in Indonesia.This research includes normative juridical research using a statutory approach. The legal sources are primary, secondary, and tertiary legal materials. The collection of legal materials is a type of literature study and the analysis uses descriptive analysis techniques. The purpose of this research is to analyze the position of metaverse land assets in the review of ownership in the Civil Code.The position of land asset ownership in the metaverse world in the Civil Code system can be analyzed with the provisions of Article 499 of the Civil Code. According to the provisions, goods are every object that can be attached to a right and can be recognized as property rights. The results show that metaverse land assets are included in objects. This digital land asset is included in this intangible object has been regulated in the Civil Code. Metaverse land assets can be attached to property rights to objects. This is because metaverse land assets are included in the category of objects and attached to property rights. Property rights are regulated in article 570 of the Civil Code. A person can take the useful value or sell it from the land assets he owns in the metaverse.
Ethical Considerations in Algorithmic Decision-making: Towards Fair and Transparent AI Systems
Authors: Atmaja Subhanjaya Angga
Published: February 2025

Artificial intelligence (AI)-based algorithmic decision-making is a major concern in the digital age due to its potential to improve efficiency in various sectors, including healthcare, law, and finance. However, its implementation poses significant ethical challenges, such as bias in data and a lack of transparency that can affect fairness and public trust. This research aims to explore ethical considerations in algorithmic decision-making with a focus on fairness and transparency, identify key challenges, and provide policy recommendations to improve the accountability of AI systems. The research method uses a qualitative approach through literature studies that include academic articles, books, and research reports. The results show that algorithmic bias often arises due to unrepresentative historical data, while low transparency makes it difficult to understand the decision-making process. To overcome this problem, independent algorithm audits, the application of explainable AI, progressive regulations, public education, and the use of more diverse data are needed. This recommendation aims to create a fair, transparent, and trustworthy AI system, thereby supporting wider acceptance of the technology in society.
A Model Of Christian Family Custody In South West Papua Province
Authors: Leuwol Natasya Virginia , Watak Skivo Reiner , Solissa Ferdinando
Published: February 2025

In the Southwest Papua Province, where traditional customs and Christian beliefs coexist, the goal of this study is to develop a model of Christian family foster care that is sensitive to cultural and spiritual differences. The study examines the ways in which Christian principles and regional customs are integrated to settle family parenting disputes, particularly those pertaining to marriage, childrearing, and family dispute resolution. The study uses focus groups, case studies, interviews with church leaders, community elders, and families, and a qualitative methodology.According to research, the sanctity of marriage, respect for parents, and harmony within the community serve as the cornerstones of Christian family foster care in Southwest Papua.The main focus of this research is the maintenance of family ties. The model created in this study outlines key ideas, such as the importance of public involvement in decision-making about nursing, how the church works to resolve conflicts, and how Christian teachings can be integrated with conventional wisdom. In addition, the model identifies problems, such as possible conflicts between Christian doctrine and customs, and then provides solutions to balance these elements. This study enhances our knowledge of how Christian teachings are contextualized in indigenous cultures and provides useful recommendations for families, legislators, and church leaders in Southwest Papua. To ensure that family-care procedures in this area are appropriate from a cultural and spiritual point of view, advancing the well-being of children and family stability, the proposed model provides a framework.
Menjelajahi Pengalaman Wanita Bercadar di Institusi Pendidikan: Studi Fenomenologi Mahasiswi Universitas Muhammadiyah Malang
Authors: Mahdiyah Alifahtul
Published: February 2025

Artikel ini mengupas pengalaman yang dialami oleh perempuan bercadar di lembaga pendidikan. Adanya pengalaman buruk perempuan bercadar menjadi sorotan peneliti. Berdasarkan penelitian yang telah dilakukan, peneliti menemukan adanya diskriminasi terhadap perempuan bercadar di lembaga pendidikan. Keadaan ini tentu saja merupakan bentuk perlakuan sosial yang negatif. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana pengalaman perempuan bercadar terkait perlakuan diskriminatif. Hal yang ditemukan dalam artikel ini adalah pembahasan mengenai pengalaman perempuan bercadar meliputi eksklusi sosial, stereotip negatif, dan kesulitan dalam mengakses pendidikan baru. Adanya stigma negatif di masyarakat menjadi akar dari perlakuan diskriminatif yang dialami oleh perempuan bercadar. Peneliti menggunakan metode kualitatif dengan pendekatan fenomenologi. Pengumpulan data dilakukan dengan melakukan wawancara dan observasi yang melibatkan pihak terkait. Hasil temuan menunjukkan bahwa meskipun terdapat beberapa kemajuan dalam penerimaan perempuan bercadar, masih terdapat tantangan signifikan terkait norma sosial dan sikap diskriminatif yang mempengaruhi pengalaman mereka dalam lingkungan akademis. Artikel ini juga menyarankan beberapa rekomendasi untuk meningkatkan inklusi dan mengurangi stigma. Peneliti menyajikan kontribusi terhadap kebijakan di bidang pendidikan dalam bentuk perluasan kesadaran pelatihan keberagaman di lembaga pendidikan, serta perbaikan kebijakan antidiskriminasi. Pembaruan ini dapat mengisi kekosongan dalam penelitian sebelumnya, yang hanya membahas pengalaman perempuan bercadar secara umum.
Turn-Taking Mechanism in Piers Morgan Uncensored Talkshow: “Going Down For LIFE” Piers Morgan Discusses the Downfall of Diddy
Authors: Rahmah Nazma Sania , Ruminda Ruminda , Assiddiqi Hasbi
Published: February 2025

This research analyzes how the turn of conversation on Piers Morgan Uncensored Talkshow episode Going Down Forlife Piers Morgan Discusses The Downfall of Diddy, using Jacob L Mey, (2001) conversation analysis theory as a framework. This research analyzes taking the floor, holding the floor, and yielding the floor through a qualitative examination of the conversation that took place between Piers Morgan and his guest. This study analyzes how the turn of conversation on the piers morgan talk-show in the episode going down for life thr downfall of diddy, using Jacob L. Mey's theory of conversation analysis as a framework. This research identifying the type of turn-taking mechanism used in the conversation. The method used in this research is descriptive qualitative method to produce precise and factual conclusions by using approaches to collect data. The result shows that holding the floor most common used in the conversation that happened in this talk show.
The Influence of Customer Relationship Management, Brand Image, and Service Quality on Patient Satisfaction at the Exec
Authors: Wijayanti Endry , Kustiningsih Nanik , Rahayu Sri
Published: February 2025

This study aims to analyze the influence of Customer Relationship Management (CRM), brand image, and service quality on patient satisfaction at the Executive Clinic of Siti Khodijah Hospital, Sidoarjo. The research adopts a quantitative approach with a survey method, involving patients who have received services at the Executive Clinic as respondents. Data were collected through questionnaires and analyzed using multiple linear regression techniques.The results indicate that CRM, brand image, and service quality significantly and positively impact patient satisfaction, both partially and simultaneously. Among these factors, service quality is identified as the most dominant variable influencing patient satisfaction. The findings emphasize the importance of maintaining effective customer relationship management practices, building a strong brand image, and ensuring high-quality services to enhance patient satisfaction.These results provide valuable insights for hospital management to develop strategies that prioritize patient-centered care, strengthen brand positioning, and improve service delivery at the Executive Clinic. Further research is recommended to explore other variables that may affect patient satisfaction in different healthcare settings.
The Role of North Sumatra NasDem Youth Guard (GPND Sumut) in the 2024 NasDem Party Political Contest in Medan City
Authors: Pasaribu Defri Noval , Harahap R Hamdani , Kusmanto Heri
Published: February 2025

The role of the North Sumatra NasDem Youth Guard (GPND) as a wing organization of the NasDem Party in the 2024 political contestation in Medan City were examined using qualitative descriptive research. This research aims to identify the role of the North Sumatra GPND in the political contestation of the NasDem Party, analyze the GPND's strategy in supporting candidates from the NasDem Party and determine the contribution of the North Sumatra NasDem Youth Guard in the political interests of the NasDem Party in 2024 in Medan City. The research results show that the North Sumatra GPND carries out three main roles: ideological, strategic and tactical which includes mobilization of young voters, political education, and political socialization of NasDem Party policies. The strategies used include door-to-door campaigns, use of social media, and collaboration with local communities. The contribution of the North Sumatra GPND not only helped win the candidate they were nominated, but also strengthened the NasDem party supporter base through cadre training and network building. This research provides insight into the importance of party wing organizations in supporting the sustainability of democracy and the success of elections in Indonesia
The Influence of Gratitude on Happiness from the Perspective of Islamic Psychology: A Literature Review
Authors: Iqbal Muhammad
Published: February 2025

Human life will never be separated from the aspect of psychological happiness. Every individual tries to create a happy existence, including physical, social and mental conditions, so that the quality of life can improve. One of the factors that influences happiness is gratitude. This is because gratitude can produce a positive perspective on all events that occur in daily life. The aim of this literature review is to analyze literature related to the influence of gratitude on happiness from an Islamic psychology perspective. The databases used are Scholar, PubMed, Science Direct, Semantic Scholar, Researchgate. The keywords used are Gratitude, Grateful, Happiness, excitement, Islam. The results of the literature search obtained 6 articles. Search results go through a filtering process with PICO elements and the CRAAP method. The research results show that gratitude has an important role in increasing happiness according to an Islamic psychology perspective. Gratitude contributes positively to mental and spiritual well-being, especially in the context of Islamic education. For this reason, it is important to integrate the values of gratitude into Islamic education programs as a strategic action to improve a person's mental and spiritual well-being. Applying the principles of gratitude in daily activities can also strengthen the foundation of overall mental and spiritual health.
Analysing the Legal And Regulatory Framework For Decommissioning Offshore Platforms: A Comparison Between Brazil (BR) and the United Kingdom (UK)
Authors: Deus Elesito Lelo-Mali Cairo de , Almeida Neto José Adolfo de , Suela Attawan Guerino Locatel
Published: February 2025

Purpose: This article aims to analyze the legal structure of the dimensions involved in the decommissioning process and its implications on the procedures adopted by United Kingdom and the Brazil, based on a systematic literature review.
 
Methodology: The research was conducted through a systematic literature review, analyzing articles obtained from three main databases: CAPES, Crossref, and Google Scholar, in addition to other relevant sources.
 
Results & Discussion: The analysis sought to understand the debate surrounding the applicability of the norms and regulations related to offshore platform decommissioning in both territories. The results indicate that United Kingdom and the Brazil align their legal policies for offshore platform management with international best practices in sustainability. However, contradictions in the implementation of these policies arise, often due to conflicts of interest among the parties involved, a situation more pronounced in Brazil.
 
Conclusion: The analysis reveals that, although both countries strive to align their policies with international standards, national specifics and challenges present difficulties in the application of regulations. The main implication of this study is to provide a systemic view of the decommissioning process, integrating the applicable regulatory dimensions. The study also points to directions for future research, particularly regarding the improvement of policy implementation and the resolution of conflicts of interest in the decommissioning process.
Architectural Experience and Artificial Intelligence: Development of A Tool to Support the Design Process
Authors: Fischer Rafael Santos , Schmid Aloísio Leoni
Published: February 2025

Objective: This study investigates the application of artificial intelligence (AI) in architectural experience design by developing a tool that predicts spatial perceptions based on architectural components, assisting students and architects without the need for direct user interaction.
 
Theoretical Framework: Grounded in UX and architectural experience, the study utilizes Desmet's (2007) and Russell’s models for emotional evaluation while exploring the impact of architectural atmosphere on spatial perception.
 
Method: Using the Design Science Research (DSR) approach, the UX Arch platform was developed as an AI-based tool. It registers architectural references and associated experiences to train a predictive model, validated by 28 students.
 
Results and Discussion: The AI correctly predicted emotional polarity in 89% of cases and intensity in 55%, achieving an overall accuracy of 80%. Participants positively evaluated the system but suggested improvements in component categorization and database expansion.
 
Research Implications: The study reinforces AI’s potential in predicting architectural experiences, promoting integration between technology and design while providing a systematic method for evaluating spatial perceptions.
 
Originality/Value: This study innovatively applies AI to architectural design, offering objective support for experiential design and enhancing the understanding of the relationship between space and emotion.
Characterization of the Dropout Student Profile Using Data Mining Techniques
Authors: Choque-Soto Vanessa Maribel , Sosa-Jauregui Victor Dario , Ibarra Waldo
Published: February 2025

Objective: One of the primary concerns in Educational Data Mining is student dropout rates. This study aims to investigate student dropout rates in higher education by identifying and analyzing the demographic and academic characteristics of university students who discontinue their studies.
 
Theoretical Framework: Based on Educational Data Mining with clustering techniques, this study utilizes pattern recognition and data segmentation models to analyze dropout behavior within Informatics programs.
 
Method: Data mining techniques were applied to a dataset that contained demographic and academic records. Three clustering algorithms, K-means, DBSCAN, and Agglomerative Hierarchical Clustering, were employed, and their performance was evaluated.
 
Results and Discussion: The K-means algorithm produced three distinct clusters with a silhouette score of 0.575, indicating well-defined groups. These clusters revealed significant patterns, such as a predominance of male, single students from Cusco enrolled under the 2013 curriculum. DBSCAN identified four clusters (score: 0.120), while Agglomerative Hierarchical Clustering produced three clusters (score: 0.564), offering a balance between granularity and clarity. The findings highlight the effectiveness of K-means in profiling dropout students and offer insights into their academic trajectories.
 
Research Implications: The findings suggest that tailored interventions addressing the specific needs of identified student clusters may reduce dropout rates, relying on informed policy and practice in higher education.
 
Originality/Value: This study contributes to the literature by introducing an innovative comparative analysis of clustering methods for dropout profiling, offering practical implications for educational data analysis and intervention strategies.