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The formation of women’s morality is a complex process involving the interaction between cognitive and affective dimensions in human psychological development. Lawrence Kohlberg’s theory emphasizes that morality develops through logical stages of reasoning oriented toward universal principles of justice, while Martin L. Hoffman highlights empathy as the affective foundation driving moral behavior. This study aims to integrate these two theories to provide a comprehensive understanding of women’s moral formation through a qualitative-analytical library research approach. The analysis examines the assumptions, strengths, and limitations of each theory to identify the convergence between cognitive morality and affective empathy. The findings reveal that justice and care are complementary aspects of human morality. Empathy serves as the emotional engine motivating moral actions, whereas cognitive reasoning provides direction and justification. Mature women’s morality is not solely based on care or empathy but represents a dynamic synthesis between rational thought and emotional understanding. This integration reflects a more holistic and contextual view of morality grounded in social relationships and human connectedness. Practically, this study recommends a moral education model that integrates rationality and empathy as the foundation for developing women’s character. Such an approach is essential to foster a generation capable of discerning right from wrong through logic while also possessing deep social awareness and emotional responsibility.

Implementation Artificial Intelligence as a supporting model for e-learning still faces several challenges. This is due to several aspects, such as concerns about loss spiritual touch, low digital literacy educators, limited technological infrastructure in educational institutions, and so on. On the other hand, the interaction that occurs between students and teachers is an emotional and moral dimension that occurs. The purpose study is to analyze the use AI as supporting model for e-learning in Islamic education. In this study, the method used is descriptive qualitative research. The findings study are (1) Views Islamic education practitioners on Artificial Intelligence, one which is that the existence Artificial Intelligence is not absolute replacement between students and teachers. However, Artificial Intelligence is considered means or tool in understanding learning; (2) The results  analysis explain that several AI (Artificial Intelligence) in e-learning in Islamic education have been present in several forms, including increasing access and inclusivity, translating and understanding classical manuscripts, analyzing learning and automatic assessment, material recommendation systems and learning personalization, as well Chatbots and virtual learning assistants; (3) Concept Islamic education is not only oriented towards the transfer knowledge (ta'lim), but also the formation of morals and spirituality (tarbiyah and ta'dib).

Inflation, unemployment, and deflation are three fundamental macroeconomic phenomena that are closely interconnected in influencing a nation’s economic stability. These variables illustrate the equilibrium between production capacity, consumption behavior, and government intervention in achieving sustainable economic growth. The main purpose of this study is to explore the interrelationship between inflation, unemployment, and deflation, and to assess their implications for Indonesia’s economic stability. This research applies a qualitative descriptive method, employing literature reviews, document analysis, and secondary data evaluation derived from credible institutions such as the Central Bureau of Statistics (BPS), Bank Indonesia (BI), and the Ministry of Finance. The results suggest that a moderate level of inflation can positively stimulate economic expansion through increased consumption and investment activities. In contrast, excessive inflation tends to erode consumer purchasing power and potentially elevate unemployment rates. Meanwhile, prolonged deflationary conditions may lead to a decline in product prices, reduced business profitability, and slower economic momentum. The interaction among these three factors is complex and dynamic, necessitating a coordinated balance between fiscal and monetary policies to safeguard overall economic stability. This study concludes that effective inflation control, job creation, and deflation prevention are critical elements in strengthening Indonesia’s long-term economic resilience.

The rapid advancement of digital technology requires teachers to serve not only as educators but also as digital role models for their students. This study aims to analyze the teacher’s role in instilling digital ethics and responsibility among Generation Z, as well as to identify effective strategies in shaping students’ digital character. A qualitative approach with a case study method was employed in several secondary schools in Lampung Province. Data were collected through observation, in-depth interviews, and documentation, and analyzed descriptively through data reduction, presentation, and conclusion drawing. The findings reveal that teachers play a central role in fostering digital ethics awareness through exemplary behavior, ethical communication, and digital responsibility habituation within the school environment. Teachers’ consistency in using social media, managing information, and engaging ethically in online interactions significantly influences students’ digital behavior. This study highlights the need to strengthen teachers’ digital literacy capacity based on moral and spiritual values. The implications suggest that educational policies should integrate the teacher’s role as a digital role model into the broader strategy for developing ethical and responsible digital citizens in the era of technological transformation.

This research aims to design and build a public service information system in Kadi Village, Tambolaka City District, that can improve service quality and ease public access to information. This system is expected to accelerate administrative processes and data management, as well as facilitate interaction between the village government and its residents. The method used in developing this system is a development research (R&D) method that combines needs analysis, system design, and web-based software implementation. This information system is designed with key features such as service registration, application submission, application status checking, and efficient village administrative data management. The result of this research is a user-friendly application, accessible to the public via mobile and desktop devices, that supports transparency and accountability in public services at the village level. It is hoped that this system will make public services in Kadi Village more effective, efficient, and responsive to community needs.

This research is inspired by the extraordinary success of the domestic animated film titled Jumbo, which managed to set a new record and trigger a wave of overwhelmingly positive sentiment responses on the Instagram social media platform. Its main focus is to provide a deep qualitative interpretation of audience sentiment data that was previously collected and quantitatively evaluated by Prasetia (2025) from 764 original comments, which were then filtered down to 221 samples. The approach applied involves secondary data analysis by reviewing the frequency of Prasetia's data through the lens of social identity theory and collective efficacy theory. The results of the analysis reveal that the prevalence of positive sentiment at 68.7% does not merely reflect a simple evaluation of the film but also serves as a fundamental expression of shared pride and in-group preference. Expressions of support that emphasize appreciation for the achievement and national pride over the work of local creators act as a tool for strengthening social bonds, reinforcing the national identity linked to achievements in the film sector while also demonstrating the audience's collective belief in the potential of the domestic animation industry (mastery experience). Practically, the recommendation for local film promotion strategies is to highlight narratives about shared accomplishment and national pride to build audience loyalty and continuous interaction in the digital environment.

Strengthening 21st century character and skill education is an important demand in today's learning transformation. Game-Based Learning (GBL)-based approaches such as Ludo are believed to present a learning process that is meaningful, fun, while forming positive values. This study aims to review and compare the results of previous studies on the application of GBL in the development of character and skills in the 21st century, especially in Arabic language learning. The method used is a simple systematic literature review of 12 scientific articles published in 2015–2025 obtained from selected scientific databases. The analysis was conducted based on three main dimensions: the game medium, the focus of learning (characters, 4Cs, vocabulary), and the method approach. The results of the study show that GBL is generally effective in improving vocabulary mastery and fostering collaboration, communication, and character values of students. Ludo media in particular has proven to be relevant as a means of value-based learning and interaction. However, studies that explicitly integrate Ludo-based GBL in Arabic language learning are still limited. This research is expected to be a conceptual basis for the development of innovative learning media that is integrative and in accordance with the challenges of 21st century education.

This study examines the influence of digital marketing strategies, including Content Marketing, Influencer Marketing, and Community Marketing, on Brand Awareness within the e-sports industry. Alongside the rapid growth of the e-sports sector both globally and in Indonesia, effective digital marketing has become essential for brands to enhance visibility and audience engagement. Employing a quantitative research design, data were collected through an online questionnaire distributed to 200 respondents and analyzed using SmartPLS version 4.1.1.2. The analysis results show that the research model achieved an Adjusted R-Square value of 0.752, indicating that the independent variables were able to explain 75.2% of the variance in Brand Awareness. The findings further reveal that Content Marketing, Influencer Marketing, and Community Marketing all have a significant positive effect on Brand Awareness, underscoring their critical role in shaping consumer perception and engagement. These results highlight the importance of integrated digital marketing strategies in building strong brand recognition, fostering community interaction, and enhancing consumer loyalty in the highly competitive e-sports landscape. By leveraging these strategies, companies can not only strengthen their market position but also create deeper relationships with e-sports fans. This study contributes to the growing body of literature on digital marketing within the creative economy and offers practical insights for marketers seeking to develop targeted and effective promotional strategies in the dynamic e-sports environment.

The use of Search-Based Software Engineering (SBSE) for optimizing software architecture has evolved from fully automated to interactive approaches, integrating human expertise. However, current interactive tools face limitations: they typically support only single decision-makers, confine architects to passive roles, and induce significant cognitive fatigue from repetitive evaluations. These issues disconnect them from modern, team-based software development, where collaboration and consensus are crucial. To address these shortcomings, we propose "ArchEvolve," a novel framework designed to facilitate collaborative, multi-architect decision-making. ArchEvolve employs a cooperative coevolutionary model that concurrently evolves a population of candidate architectures and distinct populations representing each architect's unique preferences. This structure guides the search towards high-quality consensus solutions that accommodate diverse, often conflicting, stakeholder viewpoints. An integrated Artificial Neural Network (ANN) serves as a preference learning module, trained on explicit team feedback to act as a surrogate evaluator. This active learning cycle substantially reduces the number of required human interactions and alleviates user fatigue. Empirical evaluation on two industrial case studies (E-Commerce System and Healthcare Management System) compared ArchEvolve to a state-of-the-art interactive baseline. Results indicate that ArchEvolve achieves statistically significant improvements in both solution quality and consensus-building. The preference learning module demonstrated over 90% accuracy in predicting team ratings and reduced human evaluations by up to 46% without compromising final solution quality. ArchEvolve provides a practical, scalable framework supporting collaborative, consensus-driven architectural design, making interactive optimization a more viable and efficient tool for real-world software engineering teams by intelligently integrating cooperative coevolutionary search with a preference learning surrogate.

This study discusses Ahmad Muhammad Mustain Nasoha’s perspective on Human Rights (HAM) and the Democratic Rule of Law, emphasizing the relationship between national law and Islamic law in ensuring human dignity and justice. Using a qualitative method and literature study approach, this research analyzes the interaction between citizenship, human rights, and democracy within Indonesia’s legal framework. The study reveals that both national and Islamic law aim to protect individual rights and maintain justice, though they differ in philosophical foundations and application. National law defines citizenship and human rights through constitutional and legal frameworks, while Islamic law bases them on divine principles emphasizing moral and social responsibility. The integration of these two legal systems is essential to realize a democratic state that upholds human values, social justice, and equality. The study concludes that harmonizing Islamic law with Indonesia’s national law strengthens the implementation of human rights and supports the development of a just and democratic legal state.

The development of the digital economy has driven major changes in consumer behavior, from traditional transactions to online interactions. These changes present both challenges and opportunities for businesses, particularly in the e-commerce sector, where consumer trust, data privacy, and digital technology adoption are important factors in decision-making. This study aims to map global trends in online consumer behavior research in the context of the digital economy using bibliometric analysis. Data was collected from the Scopus database using the keyword “online consumer behavior” for the period 2020-2025. The dataset was exported in CSV format and analyzed using VOSviewer and R Studio (Biblioshiny). The analysis included annual publication trends, identification of authors, journals, countries, as well as keyword mapping and citation networks. The results show a significant increase in publications after 2020, with China, the United States, and India as the main contributors. Keyword mapping reveals four research clusters: consumer trust and data privacy, e-commerce and digital platform adoption, consumer experience and personalization, and social commerce and social media influence. These findings confirm a growing research focus on issues of digital trust and opportunities for utilizing new technologies such as artificial intelligence and social media. This study provides a comprehensive overview of global trends in online consumer behavior and an important contribution to academics, practitioners, and policymakers.

The size of the company as a moderator in defining the correlation between capital structure, profit, and firm value is the focus of this study. Adopting a quantitative associative approach, this research focuses on the non-cyclical consumer sector registered on the Indonesia Stock Exchange (IDX) for the period 2020–2023. Of the 125 companies, 73 were purposively selected to create the research sample, yielding 292 observations after excluding entities with incomplete data and those with special monitoring status. The authors gathered secondary data from audited yearly financial reports through the IDX portal and corporate websites. The analysis used quasi-moderation techniques by combining independent variables, moderation, and interaction in a single regression model, processed through EViews 13. The research results show that capital structure has a significant positive impact on firm value, while profitability has no significant impact. Firm size has been shown to affect the relationship that exists between capital structure and firm value, but it does not moderate the association between profitability and firm value. These findings confirm that leverage’s effectiveness in increasing firm value is independent of company size and that profitability is not a primary determinant in this context. This research provides empirical evidence to advance capital structure theory and to inform executives’ strategic financial decisions and investors’ evaluations of corporate outlooks.

This study explores the intersection of Artificial Intelligence (AI), agriculture, and decolonial philosophy, emphasizing the role of local knowledge as the foundation for sustainable agricultural technology in Indonesia. The research investigates how AI can be developed not as a tool of technological domination but as a dialogical partner that recognizes the epistemic value of indigenous wisdom. Using a mixed-method approach, the study combines algorithmic experiments applying lightweight Convolutional Neural Networks (CNN) with Explainable AI (XAI) methods such as SHAP and LIME with participatory interviews involving farmers in Bima District. Empirical findings show that models integrated with localized visualization and community-based interpretability improved user trust by 84% and reduced computational energy by 28% without compromising accuracy. More importantly, the interaction between AI and farmers revealed a form of epistemic integration where algorithmic logic aligns with traditional indicators, such as soil texture, humidity, and seasonal signs known to local farmers. Philosophically, this research asserts that sustainable AI should emerge from ecological and cultural contexts rather than imposing external frameworks. In the decolonial sense, it positions local farmers not as passive users but as active epistemic agents shaping the meaning of technology. Thus, AI becomes not only a technical instrument but a site of ethical and epistemic liberation that reaffirms human responsibility toward knowledge, culture, and the earth.

This study aims to analyze the role of digitalization in driving social development in Indonesia through the perspective of development sociology. Digitalization has become a major force transforming social structures, values, and interaction patterns in societies worldwide. The results show that digital technology contributes significantly to increased social participation, economic empowerment, and equitable access to information. However, on the other hand, challenges arise in the form of a digital divide between urban and rural communities that can deepen social inequality. In the context of development sociology, digitalization is not only viewed as a technological process, but also as a social phenomenon that influences the dynamics of community life. Therefore, digital-based development must be directed inclusively so that all levels of society receive equal benefits. The government, educational institutions, and the community need to synergize in strengthening digital literacy and maintaining socio-cultural values ​​amidst the current of technological globalization. With a fair and participatory approach, digitalization can be an important means of strengthening social solidarity and realizing shared prosperity.

This study investigates how the perception of corporations acts as a mediator connecting employer branding with applicants’ intentions to apply for jobs from the Gen Z demographic in Indonesia’s private banking sector. While the broader context refers to the Indonesian private banking industry, the empirical support identified in this study was drawn from Semarang, involving 120 Generation Z respondents who were either final-year students or recent graduates residing in the city. A quantitative design was conducted through a survey approach with purposive sampling, and data were acquired through web-based questionnaires. The evaluation was carried out employing the PLS-SEM method with SmartPLS version 4. 0. The findings indicate that employer branding significantly influences both the reputation of the company and the likelihood of application in a positive manner. Additionally, a company's reputation is strongly and positively linked to the intention to apply, serving as a bridge between employer branding and the desire to seek employment opportunities. The study highlights that employer branding, when managed effectively, enhances Generation Z’s application intention, operating both as a direct driver and via the mediating influence of corporate reputation. Practically, this implies private banks in Indonesia particularly those operating in Semarang should concentrate on advancing employer branding practices while upholding a strong corporate reputation to draw and involve talented candidates from Generation Z. This study provides a contribution to the academic field by highlighting empirical evidence collected in Semarang reflect the interaction between employer branding and corporate reputation in influencing job application behavior of Generation Z within the private banking sector.

In the era of digitalization, social media has become central to consumer interaction and purchasing behavior, with platforms like TikTok Shop enabling users to engage, share experiences, and shop seamlessly. This research examines the influence of e-WOM on purchasing decisions for Somethinc products on TikTok Shop, with brand awareness as a mediating variable. A descriptive quantitative method was employed using purposive sampling, targeting 110 Indonesian consumers who use and purchase Somethinc products on TikTok Shop. Data were collected via a questionnaire with a 1–5 Likert scale and analyzed using SmartPLS version 3, including descriptive analysis, outer and inner model evaluation, and hypothesis testing. Based on the results of the direct effect analysis, it was found that e-WOM has a positive and significant effect on Purchasing Decisions and Brand Awareness, Brand Awareness has a positive and significant effect on Purchasing Decisions. Meanwhile, the results of the indirect effect analysis indicate that e-WOM has a positive and significant effect on Purchasing Decisions through Brand Awareness. These findings suggest that Somethinc can effectively increase brand awareness and drive purchasing decisions by prioritizing high-quality e-WOM content and consistent product performance on platforms such as TikTok Shop. In addition, Gen Z consumers benefit from actively engaging with credible peer reviews and experiences to make informed and confident purchasing decisions.

This study aims to describe the professional competence of Early Childhood Education (ECE) teachers in implementing technology-based learning at PAUD “X”. Teacher professionalism plays a crucial role in determining the quality of early childhood learning, particularly in the digital era where educators are expected to adapt to technological advancements. This research employs a descriptive qualitative approach, utilizing observations and semi-structured interviews to obtain an in-depth understanding of teachers’ abilities in managing learning processes, mastering instructional content, and integrating appropriate learning media. The findings indicate that teachers demonstrate strong pedagogical, social, and personal competencies. They successfully create an engaging and  developmentally appropriate learning environment, use language that is easily understood by young children, and exhibit patience, discipline, and effective communication skills. Positive interaction among teachers, children, and parents contributes to a supportive and collaborative learning atmosphere. Teachers also incorporate simple learning materials, such as origami and visual aids, to enhance student engagement. Nevertheless, the study reveals that teachers’ professional competence in utilizing digital technology remains limited. Although technological tools are available, several teachers lack confidence and technical skills in operating digital devices, such as projectors and interactive media. Insufficient training and mentoring are identified as primary barriers. The study concludes that strengthening teachers’ technological competence should be prioritized through continuous professional development programs, including structured training and peer mentoring. Enhanced technological skills will enable teachers to design learning experiences that are more interactive, innovative, and responsive to the developmental needs of young children.

Indonesia’s diversity in ethnicity, culture, religion, and language demands an approach that can simultaneously address intellectual, spiritual, and national dimensions. The integration of philosophy, Pancasila, and theology becomes essential in responding to this complex reality. Philosophy strengthens critical and reflective thinking, helping individuals interpret differences with awareness and avoid hasty judgments, which is crucial in reducing social tension and fostering dialogue. Pancasila, as the nation’s ideological foundation, provides an ethical-political framework that guarantees unity, freedom, and justice for all citizens regardless of background. Theology complements these foundations by offering transcendental ethics and spiritual guidance that shape compassionate attitudes toward others and the environment. A contextual and inclusive theological perspective supports religion’s role as a source of enlightenment and encourages interfaith solidarity in a pluralistic society. When these three elements are integrated into education, public policy, and social culture, they help form a society that is intellectually critical, socially inclusive, and spiritually resilient. Core values such as empathy, justice, equality, and shared responsibility can develop more strongly in daily interactions. Although challenges such as identity crises, misinformation, and online intolerance remain, collaboration between the state and civil society is needed to maintain an inclusive public sphere. Through strengthening philosophical education, deepening appreciation of Pancasila, and advancing contextual theology, Indonesia can build a just and harmonious society.

This article discusses how the people of Efule village can maintain diversity in their local culture. Community development based on local culture is a development strategy that places local wisdom as the basis of values, knowledge, and various practices in the community empowerment process. The purpose of this study is to explain the local cultural values that can be integrated into community development efforts in order to achieve inclusive and sustainable development . The research method used in this study is descriptive qualitative research with a participatory approach through direct interviews and literature studies on various local community development practices. The results of the study indicate that local culture plays an important role in shaping social interaction patterns and support mechanisms for empowerment programs. In addition, the involvement of traditional and community leaders in the application of values such as mutual cooperation and social solidarity has been proven to strengthen a sense of ownership and collective responsibility for development. Integration into local culture in development policies needs to be maintained as a form of development.

Learning is a process of interaction between students, educators, and learning resources in a learning environment. The effectiveness of learning is greatly influenced by the teacher's ability to manage the class. At SDI Manumuti, a third-grade teacher demonstrated good classroom management in thematic learning, especially on the theme of caring for living things. Classroom management is an important factor in creating a conducive learning atmosphere so that the learning process can take place optimally. This study aims to explore more deeply the role of teachers in managing the class in thematic learning. The study used a qualitative approach with a descriptive method. Data collection techniques included observation, documentation, and interviews, while data analysis was carried out inductively through data reduction, data presentation, and drawing conclusions. The results of the study indicate that teachers play an important role in creating and maintaining conducive classroom conditions. These efforts are carried out through two main strategies. First, teachers prioritize three aspects in learning, namely: (1) strengthening character education through discussion activities that encourage students to appear in front of the class, thereby fostering self-confidence, discipline, and activeness; (2) strengthening literacy through reading materials or stories related to the theme at the beginning of the meeting; and (3) the application of 4C skills (Creative, Critical thinking, Communicative, and Collaborative) through varied learning activities, including learning outside the classroom to avoid boredom. Second, teachers often use discussion methods to train students to express opinions, speak in front of the class, and work together. This method is considered effective in building students' self-confidence and social skills.